Illinois Natural History Survey A comprehensive evaluation of three mussel beds in Reach 15 of the Upper Mississippi River Center for Aquatic Ecology Scott D. Whitney, K. Douglas Blodgett, and Richard E. Sparks Illinois Natural History Survey August 1996 Aquatic Ecology Technical Report 96/7 Disclaimer The findings, conclusions, and views expressed herein are those of tlie researchers and are not necessarily the position of the Illinois Natural History Survey or the Illinois Department of Natural Resources. Use of the term "Reach" Terms are important, because they determiiK our perception of the thing that is being described. Use of the term "pool" perpetuates a misconception among readers and resiewers outside the upper Mississippi Basin that there is Utile of the natural river left Readers assume that we are talking about "a deep, still place in a sueam or rKer" where the water is standing more than it is flowing. "Poor' is often associated with "stagnant". Many readers and reviewers outside the Mississippi Basin have the misconception that the ri\er is a polluted barge canaL or a series of large resersoirs. Some reviewers assume the river is altered that nothing about the structure and function of ecosystems could be learned by stud>ing it; i.e. the\ considered it as man-made as an agricultural field, boat harbor, canal, or storage resenoir Use of the word "pool" for any portion of the Mississippi is misleading, because "pool" commonly refers to small bodies of water (e.g., "puddles"). However, the term has been used by the U.S. Army Corps of Engineers since at least the 1930's, when the 9-foot channel and associated navigation dams were constructed. The term "reach" is much nwre appropriate for the stretch of ri\ er between navigation dams or beUvcen bends in the river, indeed these are two of the standard definitions and common usage for "reach". 'Pool should be a subset of "reach", because na\igation dams create wide deep places in the riser onl>' part of the distance upstream to the ne.vt dam. In addition, some na%igation reaches, such as Reach 15, are swift channels with scarcely an>' slackwater "pool" at all. Follouing are definitions of the two terms: Definitions of Pool and Reach Stein, Jess, and Laurence Urdang (eds.). 1971. The Random House dictionary of the English language. Random House. New York. 2059pp. Pool Reach 1. A small bod>' of standing water; pond 2. A puddle. 3. An>' small collection of liquid on a surface. 4. A still, deep place in a stream 24. A continuous stretch or extent of something: a reach of woodland. 25. Also called pound, a level portion of a canal between locks. 28. a straight portion of a river between two bends. Brown, Lesley (ed.). 1993. the new shorter Oxford English dictionar/ on historical principles. Vol.2, N-Z. Clarendon Press, Oxford. 3801pp. Pool 1 a. A small bod>' of standing or still water, especially one of natural formation Old English, b A small shallow accumulation of am liquid; a puddle. 2. A deep still place in a river or stream 4. A tank or other artificially constructed receptacle (to be) filled with water for swimming, diving, etc. Reach la. An enclosed stretch of water, a bay Long obsolete, except in Canadian dialect, b. A portion of a river, channel, or lake between U\o bends; a portion of a canal between Uvo locks. 2. General. A continuous stretch, course, or exlenl in space or tine. Table of Contents Page List of Tables ii List of Figures n List of Appendices iii Executive Summary l In trod u ctio n 2 Methods 2 Study Sites 2 Field Procedures 4 Laboratory Procedures 6 Data Analysis 6 Speci es Ri chness an d Abundance ••- - — - - - - - 6 Recaiitment -.- ..- ...- -.._ .._.^- 7 Age and Growth ^.. - --.^ -..- _._._ _._._ 7 Mortality -- - - -.- -. - -.-.- 8 Zeb ra Mussel s -. 8 Results and Discussion 8 Species Richness and Abundance 8 Recruitment 10 Age and Growth 10 Mortality 11 Zebra Mussels U Management Recommendations 12 Acknowledgments 13 References 14 Appendices following page 15 List of Tables Table Description Page 1. Number and percent of the individuals from each mussel species collected in Reach 15 of the UMR which were aged and weighed in 1987 and 1994-95 8 List of Figures Figure Description Page Location and legal description of Upper Mississippi River Mussel Refuges established by the state of Dlinois in July 1988. . Location of (a) Reach 15 in the Upper Mississippi River and (b) three study sites in Reach 15 Location of Sylvan Slough study site (RM 485.8) in Reach 15 of the Upper Mississippi River 4. Location ofCase-m study site (RM 488 5) in Reach 15 of the Upper Mississippi River 5. Location ofllliniwek study site (RM 492.4) in Reach 15ofthe Upper Mississippi River List of Appendices Appendix Description Pages A Unionid species richness aiid abundance A-1 toA-11 B Calculated number of samples required to estimate actual density within specified level (%) B-1 to B-5 C Density distributions based on shell length C-1 to C-32 D Density distributions based on shell height D-1 toD-17 E Density distributions based on mussel age E-1 toE-14 F G Unionid mussel recruitment F-1 to F-4 Commercial species age and growth G-1 to G-27 H Zebra mussels {Dreissena polymorpha) H-1 to H-7 Executive Summary Unionid mussels were collected by quadrat sampling at three sites in Reach 15 of the Upper Mississippi River between July 1994 and September 1995; Sylvan Slough (rivermile (RM) 485.8) within a mussel refuge (commercially unharvested since 1988); Case-IH (RM 488.5) (commercially harvested); and Illiniwek (RM 492.4) (commercially harvested). A total of 7,107 mussels were collected representing 26 species, including one federally endangered species (Lampsilis higginsi), two state endangered species (Plethobasus cyphyus and Cumberland ia monodonta), and one state threatened species (ElUpsaria Uneolata). Illiniwek had the greatest mussel diversity and abundance with 25 species and a mean density of 118.3/m-, followed by Ca.se-IH with 23 species and 86.7/m", and Sylvan Slough with 20 species and 53.4/m". Temp>oral trends in unionid abundance (1985-95) reflect significant declines (p < 0.001) in overall unionid densities as well as densities for individual species at both Sylvan Slough, where mean unionid density declined from 100. 1/m- in 1985 to 53.4/m- in 1994-95 with 6 species showing significant declines, and Case-IH where mean unionid density declined from 139. 2/m- in 1985 to 89.8/m- in 1994 with 4 species showing significant declines. The four mussel species which dominated our collections were Truncilla truncata, ElUpsaria Uneolata, Quadrula pustulosa, and Amblema plicala. Recent recruitment estimates for the ten most common sjjecies indicate a high degree of variability among sf)ecies and study sites. Some species, such as Megalonaias rierx'osa, exhibited very low recruitment densities (0.00 to 0.03/m-), while others like Quadrula pustulosa exhibited good recruitment densities (3.7 to 4.3/m'^. Temporal trends in recruitment evaluated by recent recruitment densities and size-frequency histograms demonstrate the unpredictable nature of unionid recruitment; some species (i.e., A. plicata and Q. pustulosa) were fairly consistent, recruiting young individuals to their populations each year, while other species (i.e., M. nervosa and Q. metanevra) were more sporadic, recruiting young to their populations only once or twice within a ten-year period. On average, commercial mussel species {A. plicata, M. nerwsa, Q. pustulosa, Q. metanevra, and Q. quadrula) reached sexual maturity during their seventh or eighth year, with a range from 5 to 12 years of age. The time required for a commercial species to reach minimum harvestable size ranged from 19 to 24 years; M. nervosa took the longest, requiring 24 years to reach a shell height of 101.60 mm (4 inch), A. plicata required 21 years to reach a shell height of 69.85 mm (2.75 inch), and the three Quadrula species required 19 to 21 years to reach a shell height of 63.5 mm (2.5 inch). We believe the current mussel refuges only exist on paper and subsequently do not provide the services for which they were intended. Our studies in Reach 15 suggest illegal harvest has occurred in the Sylvan Slough refuge, since all commercial species collected within the refuge demonstrate a truncated size distribution at the minimum commercial size limit, a characteristic of harvested areas. In fact, individuals have been prosecuted for harvesting mussels in Sylvan Slough and other UMR mussel refuges. Zebra mussels {Dreissena polymorpha) were first established in Reach 15 during late 1991 or early 1992, but did not become abundant until 1995. Mean density at Illiniwek increased exponentially from less than Mrcr in July 1994 to 2,519/m- in July 1995. Similarly, zebra mussel infestation (% unionids with 1 or more zebra mussels) at Illiniwek increa.sed significantly from 1 % in July 1994 to 48% in September 1995. Mean and maximum degree of infestation increased from 0.00/unionid and 2/unionid in July 1994 to 2.3/unionid and 37/unionid in September 1995. Length-frequency histograms indicate that at least one and possibly two zebra mussel recruitment events occurred in Reach 15 during 1994 and 1995. These histograms also indicate that zebra mussels which settle in Reach 15 during May or June can reach 15- to 20-nmi in length by the end of their first growing season (October). Although rapid increases in zebra mussel densities and infestation of unionids represent an alarming trend, we did not observe any negative zebra mussel effects on the Reach 15 unionid populations (i.e., increased mortality, siphon occlusion, etc.) during the current study. However, based on past experience in the Illinois River, we predict that by 1996 or 1997 unionid mussels in Reach 15 of the UMR will experience significantly greater infestations by zebra mussels and will subsequently suffer reduced fitness and increased mortality. Management recommendations concerning the protection of mussel populations in Reach 15 and throughout the Upper Mississippi River (UMR) include: (1) closing the commercial harvest of live Megalonaias nerwsa, (2) establishing entire reaches of the UMR as mussel refuges, (3) developing population models to guide and assist the management of mussels, and (4) monitoring zebra mussel densities and impacts in the Mississippi River. Introduction Unionid mussels are considered among the most endangered faunal groups inhabiting the United States (Shannon et al. 1993; Neves 1993). Fifty-one species of mussels occurred historically in the Upper Mississippi River (UMR)--a substantial portion (17 ^c) of the 297 taxa of freshwater mussels found in North America (Turgeon et al. 1988). In the UMR there are currently 18 mussel species listed as threatened or endangered includmg three federally endangered mussel species, Lampsilis higginsi, Potamilas capax, and Quadrula fragosa (Page et al. 1991). Mussel populations in the UMR have been subject to a number of stresses, including (1) heavy commercial harvesting formerly for the production of pearl buttons and more recently to supply raw shell for the Japanese cultured pearl industry, (2) pollution from both urban centers and nonpoint sources, and (3) modification of the river for navigation (Sparks and Blodgett 1983; Sparks and Blodgett 1988). Between 1982 and 1986 massive die- offs of mussels occurred in the UMR (Neves 1987, Blodgett and Sparks 1987 a, b). Although the die-offs were investigated, the causes were never identified (Sparks et al. 1990). In response to the widespread mussel dieoffs and increasing commercial harvest, the Illinois Department of Conservation designated seven areas in the Illinois portion of the Mississippi River as mussel refuges in July 1988 (Figure 1). The primary objectives of these refuges were to (1) protect endangered or threatened mussels, (2) provide a seed source to repopulate other areas, and (3) serve as imharvested reference areas for comparison with harvested areas. If populations in the harvested areas declined while those in the refuges maintained themselves or increased, then more stringent harvest regulations might be indicated. If populations in both areas declined, then other factors should be investigated, such as poor water or sediment quality, parasites, disease, or declines in the fishes that host and disperse the glochidia (larvae) of the mussels. Critical information concerning the life-history parameters and population dynamics of freshwater mussels is often lacking and desperately needed for the sound management and conservation of this resource. The need is especially crucial for commercially harvested species. Current regulations governing the commercial mussel harvest (e.g., legal species, minimum shell size, or season) are based on inadequate scientific information and typically reflect preferences of the shelling industry (Thiel and Fritz 1993). Monitoring and evaluation of the resource throughout the UMR rely heavily on annual shell buyers reports. The UMR states have yet to establish uniform regulations to govern commercial mussel harvest. The current system which regulates and monitors commercial mussel harvest in the UMR is antiquated, based on inadequate scientific information, and in desperate need of review and reform. It is especially important to reevaluate current mussel regulations and conservation strategies now that zebra mussels have been found in the Mississippi River. The U.S. Fish and Wildlife Service has predicted 20 species of mussels in North America will become extinct over the next few years as a result of the zebra mussel invasion (Biggins 1992). Many difficult management decisions will likely be made in the coming years in attempts to preserve and protect the remaining mussel resource. Without reliable scientific information, management decisions may be ineffective or even cause further harm to mussel populations. The objectives of the comprehensive evaluation of Reach 15 mussel beds were to assess the status of harvested and unharvested (refuge) mussel beds by evaluating the following parameters: (1) species abundance and richness, (2) recruitment, (3) age and growth, (4) mortality, and (5) status and impacts of newly introduced zebra mussels. Long-term population trends were evaluated by comparison of results with those from previous scientific mussel surveys conducted in Reach 15. Methods Study Sites During 1994 and 1995, we quantitatively sampled three mussel beds in Reach 15 of the UMR near Moline, Illinois (Figure 2). One mussel bed. Sylvan Slough (rivermile [RM] 485.8), was located within a mussel refuge established in 1988; harvesting mussels in the refuge is illegal. Two mussel beds, Case-IH (RM 488.5) and Illiniwek (RM 492.4), are known to be commercially harvested (Figure 2). A more detailed description and location of each study site follows. (1) Sylvan Slough (RM 485.8): (Figure 3) - This site was chosen as a reference or unhar\ested site. It was designated as one of the seven mussel refuges in July 1988 (Figure 1). Quantitative mussel collections were made at this site during 1983, 1985, and 1987 by the Illinois Natural History Survey (Sparks and Blodgett 1983, Blodgett and Sparks 1987a and 1987b). These previous surveys reported an abundant mussels population (a) Geographical Location (b) Legal Description V>^niv,css; ^^j Iowa Mississippi^'' :^°^/ zr^^^^/y^'^ 3.- ^^„^^, Illinois / Des Moines J^ ) Riyer S4.-fc L.: ^ 1 6.-*-*? s- V) Missouri NL w.^. 7.-^t^ ' 1.) /Ml of the area directly above Lock and Dam 12 (RM 556.7) from the center of the navigation channel east to the Illinois shoreline and northward to a line extending from RM 558,4 to the Blanding's Landing boat ramp, including but not limited to all of the area contained within the designated US. Military Reservation area. 2.) All of the waters contained within Sylvan Slough from the Interstate 74 highway bridge (RM 485. 8)west to the lower tipof^\rscnal Island (RM 482.6). 3.) All of the area north of the center of the navigation channel to the Illinois shoreline lying between RM 433 0 (New EJoston Boat launching Ramp) to RM 433. 8 A.) Pontoosuc Bay contained within and described as that area from the center of the main navigation channel and the Illinois shoreline located between RM 388.7 and RM 390 0. S.) All of the area east of the center of the navigation channel to the Illinois shoreline from the mouth of the Des Moines River (RM 361.4) to the U.S. Route 136 bridge (RM 364.0) 6.) /Ml of the area east of the center of navigation channel to the Illinois shoreline between RM 314.0 and RM 3160 located upstream of Hannibal, Missouri. 7.) All of the area east of the center of navigation channel to the Illinois shoreline between Rjver Mile 238.4 (Basting's Landing) and RM 240.8 (West Point Landing boat ramp). Figure 1. Upper Mississippi River mussel refuges (a) geographical location and (b) legal description. Figure!. Location of (a) Reach 15 in the Upper Mississippi Rj\er (UMR) and (t) enlarged \iew of Reach 1 5 to show stud>' sites where quantitati\e mussel samples were collected, 1994-95. (a) Reach 15 UMR Missouri (b) Study Sites - Reach 15 UMR Davenport kand Dam 14 7 Dliniwek -''' fRM 492.4) Rock Island Illinois with a rich species assemblage including the federally endangered Lampsilis higgirisi. During the present survey quantitative samples were collected on three separate occasions at the upriver end of Sylvan Slough between the Interstate-74 highway bridge and the upriver tip of Arsenal Island (Figure 3, Table A-1). The location for each collection period differed slightly to prevent sampling on the same spot more than once. Substrate consisted primarily of sand/silt with small rock cobble and water depths ranged from 2 to 4 m (6 to 10 ft). During our sample collections we noted extensive use of this area by recreation watercraft; on weekends as many as fifteen boats were observed floating or anchored within this small area of Sylvan Slough. (2) Case-IH (RM 488.5) : (Figure 4) - This site was chosen as a commercially harvested bed. Interviews with commercial musselors indicated this bed had been extensively harvested in the 1970's but has received only occasional commercial pressure in the past ten years. We observed two commercial mussel boats operating in this area during our summer 1994 collections. Quantitative mussel collections were made at this site in 1985 and 1987 by the INKS (Blodgett and Sparks 1987a and 1987b). These previous surveys reported mussels exceptionally abundant, the number of species exceptionally rich, and the federally endangered Lampsilis higginsi present. Quantitative samples were collected at this site in July and August 1994 (Table A-1). The collection area was adjacent to the main channel and 150 m out from the Illinois shoreline. Triangulation to the site was accomplished using a cement piling, boat ramp, and cement water tower (Case-IH logo on side). The site was located on a straight line between the boat ramp and middle cement piling and directly out from the cement water tower. The substrate consisted of extensive areas of bedrock with intermittent areas of sand and rock cobble. Water depths within the sampling area ranged from 4 to 6 m (12 to 20 ft.). (3) Uliniwek: RM 492.4 (Figure 5) - This site was also chosen as a commercially harvested bed. According to local musselors, this particular area (1) had been one of the more productive beds in Reach 15 in the late 1960's and early 1970's, but was depleted of commercial-size shells during the late 1970"s or eariy 1980's, (2) was no longer of commercial importance and most experienced musselors had moved on to more profitable beds, and (3) occasional inexperienced musselors had been observed working this area periodically in the past ten years. To our knowledge, this site has not been scientifically delineated or quantitatively sampled previously. Quantitative samples were collected on four occasions: June and August of 1994 and Jime and September of 1995. In addition, 415 mussels were collected qualitafively at this site on 1 December 1994 for use in sediment toxicity tests (Stoekel et al. 1996). The collection area was located approximately 1 rivermile downriver from Lock and Dam 14 and from 30 to 50 m offshore from Illmiwek State Park. Substrate was fairly uniform, consisting primarily of sand with occasional small rock cobble. Water depths ranged from 2 to 3 m (5 to 9 feet). Field procedures During four sampling periods between July 1994 and September 1995 we collected from 72 to 116 quantitative samples representing a total surface area of 18 to 34 m- at each of the three sites in Reach 15 (Table A- 1). Quantitative samples were collected using procedures normally employed by the INHS River Research Lab (Sparks and Blodgett 1983, Blodgett and Sparks 1987a & 1987b). Biologists using surface supplied diving techniques removed all material from within 0.25-m- or 1-m- metal frames to a depth of 18 cm. Quantitative samples were collected by either the transect method, where the diver places a metal frame at 5-m intervals along a 100-m transect line anchored to the substrate, or by random placement, where the diver places a metal frame at random intervals while moving upriver. Samples were sent to the surface in separate nylon mesh bags and rinsed with river water through a series of four sieve trays (mesh apertures of 20, 10, 5, and 2 mm). Material retained by each tray was carefully examined to remove live and recently dead mussels. Mussels were classified as recently dead using the following criteria: (1) if soft parts were present, unable to close valves when prodded; (2) if soft parts were absent, the periostracum was intact, valves were firmly joined by the hinge ligament, and the interior nacre was shiny and not the least bit chalky. Live and recently dead mussels were identified to species (Cummings and Mayer 1992) and morphological shell measurements of length, width, and height (Stansbery 1961) were recorded to the nearest 0.01 mm using digital calipers. Most of the mussels collected were returned to the river; however, a subsample of at least 30 individuals of the most common species was retained and frozen for further analysis. Zebra mussels attached to unionids were mdividually counted and measured (shell length). Figure 3. Location of Sylvan Slough stud>- site (RM 485.8) in Reach 15 of the Upper Mississippi River. Figure 4. Locauon of Case-IH stud>- site (RM 488.5) in Reach 15 of the Upper Mississippi River. Figure 5. Location of Ilhmuek study site (RM 492.4) in Reach 15 of the Upper Mississippi River. Laboratory procedures Laboratory processing included both weight and age determination of individual mussels from selected species (Table 1). Frozen mussels were rinsed in warm water to remove ice from the exterior of the shell then weighed to the nearest 0.01 g (live weight). Next the mussel was forced open with a scalpel and soft tissue was removed; we determined wet weights for both tissue and shell. They were dried at 105°C to a constant weight and re-weighed to determine dry weights. Shells will be archived in Illinois Natural History Survey's mussel collection at the University of Illinois Urbana/Champaign. The estimated age of an individual mussel was determined by counting growth bands on the external surface of the shell (Chamberlain 1931, Stansbery 1951) and within thin radial cross sections of the shell and hinge ligament (McCuaig and Green 1983, Neves and Moyer 1988). In 1994, from 10% to 30% of each of the following commercially harvested species were aged using both techniques: Amblema plicata, Megalonaias nenosa, Quadrula pustulosa, Quadrula quadrula, and Quadrula metanevra. The two methods of age analysis yielded comparable results (± 1 year); however, preparation of thin radial cross sections was very time consuming, requiring from 20 to 30 minutes per mussel compared with 1 to 2 minutes per mussel for external counts. Therefore, only external ring counts were used to age mussels collected in 1995. The age at which an individual mussel became sexually mature was estimated by recording the age at which a marked decrease in distance between external growth bands occurred on the external shell surface of adult mussels (Stansbery 1961, Stein 1973). This technique was performed after shells and tissue had been separated and dried, therefore, we were unable to validate this method by examination of the gonads for maturity and ripeness. The age of sexual maturity was determined from a subsample of randomly selected shells of adult mussels of the five commercial species, A. plicata (n = 78), M. nerx'osa (n = 29), Q. metanexra (n=12), Q. pustulosa (n = 38), and Q. quadrula (n = 28). The mean, standard deviation, and range of sexual maturity age(s) were calculated for each species. Daia Analysis Data recorded in the field and laboratory during 1994-95 was analyzed in accordance with the five primary objectives of the study: (1) species abundance and richness, (2) recruitment, (3) age and growth, (4) mortality, (5) status and impacts of newly introduced zebra mussels. In addition to the information collected in the present survey, we also analyzed data collected from three previous quantitative surveys at the Sylvan Slough and Case-IH sites (Sparks and Blodgett 1983, Blodgett and Sparks 1987a and 1987b) to identify temporal trends in these mussel populations. We also reviewed two mussel survey reports from Sylvan Slough conducted by private consultants within the past decade (Stanley Consultants, Inc. 1993, Cawley 1989). Annual commercial harvest reports from Illinois, since 1963 (Fntz 1988, Williamson 1995) and Iowa smce 1984 (Ackerman and DeCook 1995) were used to evaluate the effects of long-term commercial harvest on mussel populations in Reach 15. Species richness and abundance Species richness was determined by tabulating the total number of species collected from quantitative sampling at each of the study sites. Abundance, typically referred to as density (number of individuals/m-\), was determined for each quantitative sample; data from all quantitative samples collected at each site from July 1994 through September 1995, were averaged to determine overall unionid and species specific density means. Statistical comparison of density means among and within the three study sites was conducted using an extended t- test designed for comparisons of means obtained from unequal sample sizes. Statistically significant difference between means was determined at the p < 0.05 level. Mean densities were used to classify each unionid species as very abundant (> 20.01/m"), abundant (10.01 to 20.00/m=), common (1.01 to 10.00/m^, uncommon (0.34 to 1.00/m-), or rare (< 0.33/m^ (Table A-5). This arbitrary classification system was designed specifically for Reach 15 mussel populations to categorize species with similar abundance; it may or may not apply to other reaches of the Mississippi River. Using a technique described in Green (1979) we computed the number of samples required to estimate unionid density within 10%, 20%, 30%, 40%, and 50 % of the actual density with a 0.05% probability of being incorrect using the following equation: n = [(2SD) -f (xM)]", where, n = number of samples required, SD = standard deviation, x = desired level of accuracy (i.e., 10% = 0.1), and M = mean unionid density based on samples collected Density distributions based on mussel age, shell length, and shell height were used to evaluate spatial and temporal trends in mussel populations among and within the Reach 15 study sites. Density distributions combine both mean density (no./m-^ and frequency distributions for a species within each study site (i.e., % of population by age or 5-mm size intervals). For example, the mean density for A. plicata at Illiniwek (RM 492.4) was 10.34/m' and the percent of mussels within the 60-mm shell length interval (55.01 to 60.00 mm) was 14.6%; therefore, the calculated density of this size interval is 10.34/m- X 0.146 = 1.51/m-. Density distnbutions were presented as histograms and in tabular format, the latter allowing one to calculate the mean density of a specific age group or size range by summing the mean densities of all mussels within the desired group or range. Recruitment We evaluated recent recruitment for ten of the more common mussel species we collected in Reach 15 during 1994-95 (Appendix F). The size criteria to define a recent recruit was species specific and typically represented mussels less than three years of age. For most sfMscies, individuals less than 30-mm in length constituted recent recruitment. However, the size was reduced for small, short-lived species such as Truncilla truncata (< 15 mm), Obliquaria reflexa (< 15 mm), and T. donaciformis (<10 mm). Length-frequency and density tables were used to determine the percentage (%) and density (no./m'^ of recent recruits within the population at each study site and for each year sampled (i.e. Sylvan Slough 1983, 1985, 1987, and 1994-95) to evaluate recruitment patterns over the past decade. Age and Growth The relationship between mussel age and growth was evaluated using regression plots and regression formulas. Therefore, it is crucial that the reader have a basic understanding of these two techniques. We offer the following brief explanations: R^ression plots are used to determine the degree of relationship between the independent (X) and dependent (Y) variables. Regression plots attempt to fit a line to a series of data having specific X,Y coordinates. The more closely the data points fall along the line the better the relationship. The proportion (or percentage) of the total variation in Y that is explained or accounted for by the fitted regression is termed the coefficient of determination, r^, which may be thought of as a measure of the strength of the relationship. Rq;ression formulas are mathematical equations which describe the relationship between the X and Y variables by evaluating the regression coefficient or slope (b) and the y-intercept (a) of the best fit regression line (2Lar 1984). Knowing the parameter estimates of a and b for the regression equation, one can calculate the value of Y (dependent variable) at a stated value of X (independent variable). The closer the r value is to 1 the less variability there is in the data and therefore the more reliable the estimate of Y. The species and number of individual mussels used in growth analysis were limited to those which we had aged or weighed in 1987 and 1994-95 (Table I). No distinction was made regarding collection location (study sites); rather, growth analysis was based on composite mussel samples from all Reach 15 study sites. We used a stepwise procedure (Zar 1984) in selecting the regression formula which consistently provided the best fit (i.e., highest r^) for mussel growth data. Age-size relationships were best described by S"*" order polynomial regression formulas (y = a -I- b|X -I- b-,x- + bjx'). Mean shell measurements of each of the five commercial species (Appendix G, Part II) served as the dependent variables and mussel age as the independent variable in growth curves (regression plots). Regression formulas were used to calculate shell size (i.e., length, width, and height) at ages from 1 to 30 years. By switching the variables we derived regression formulas for each of the five commercial species to calculate age for a given shell length or shell height. Formulas based on shell length and age were used to calculate the age of all mussels which had not been aged. Size-weight relationships were best described by power regression formulas (y = ax''). Live and dry shell weights of individual mussels served as the dependent variables and shell length and height as the independent variables in growth curves. Regression formulas were used to calculate live weight and dry shell weight given either shell length or height. Mussel age-frequency histograms were constructed for five commercial species, A. plicata, M. nerwsa, Q. quadrula, Q. metanexra, Q. pustulosa, and two non commercial species, E. lineolata and O. reflexa. These histograms represented all individuals regardless of whether their ages had been determined from counting growth bands (estimated) or calculated from 3"* order Species 1987 1994-95 Aped VVeiohed n Aged Weished 1 n % n % n % Amblema plicata ■ill 100 137 20.2 167 24.7 Megalomias nervosa 131 100 _. 79 36.9 98 45.8 Quadrula quadrula 54 100 - 33 21.6 57 37.3 Ouadnda metanevra 78 100 - 12 7.3 32 19.4 Quadrula pustulosa 714 100 - 146 10.9 210 15.7 Ellipsaria lineolata 310 100 - - - 106 6.6 Obliquaria reflexa 153 100 ... - - 86 14.9 Table 1. Number and percent of the indi\iduals from each mussel species collected in Reach 15 of the UMR which were aged and weighed in 1987 and 1994-95. polynomial regression equations (calculated). In 1987, all mussels were aged, therefore these histograms represent only estimated ages. In 1994-95, only from 7.3% to 36.9% of the individuals from each species were aged (Table 1), therefore these histograms consist primarily of mussels with calculated ages. Ellipsaria lineolata and O. reflexa were not aged in the current study, instead we used 1987 regression formulas to calculate their ages based on observed shell lengths. Mortality Mortality estimates were based on the percentage of recently dead mussels in our quantitative samples. Some researchers contend this method results in overestimation due to the misidentification of old dead shells as recently dead. In the present survey, we used the same method and definition we used in 1983, 1985, and 1987; thereby at least allowing comparisons among mussel surveys conducted by the INHS in the past decade. We have also conducted field trials to validate this method in the Illinois River: these data indicate our assessment of mortality is conservative and actual mortality rates are likely higher (INHS, unpublished data). This is due to the rapid discoloration, breakdown of nacre, and separation of the hinge ligament which often resulted in a mussel being identified as old dead when it had died within the past three months. Zebra Mussels Mean zebra mussel densities (by site and date) were determined from either the same quantitative samples from which unionids were collected (July and August 1994) or from a separate set of samples in which only zebra mussels were counted (July 1995) (Table H-1). Length-frequency histograms of zebra mussels collected at the Illiniwek site (RM 492.4) on five dates between July 1994 and September 1995 were used to evaluate population size structure and recruitment events. Zebra mussel infestation of Unionid mussels was reported as % Infestation (the number of unionids with one or more attached zebra mussels) and Degree of Infestation (the number of zebra mussels attached to an individual unionid). The degree of infestation of all unionids on each sample date was used to calculate a mean, standard deviation, and range for each study site and unionid species. Results and Discussion Species Richness and Abundance From July 1994 through September 1995* we collected a total of 7,107 native mussels representing twenty-six species from the three study sites in Reach 15 (Table A-3 and A-4). Illiniwek had the most species (25) followed by Case-IH (23) and Sylvan Slough (20) (Table A-3). Four live threatened or endangered species were collected at one or more of the three sites: the federally endangered Lampsilis higginsi (Higgins eye), the state endangered Plethobasus cyphyus (Sheepnose) and Cumberlandia monodonta (Spectacle case), and the state threatened Ellipsaria lineolata (Butterfly) (Table A-6). The three most abundant species in Reach 15 were Truncilla truncata (Deertoe), Ellipsaria lineolata (Butterfly), and Quadrula pustulosa (Pimpleback). In combination, these three species constituted 53% to 73% of the unionid populations at the three study sites (Table A-6). Amblema plicata (Threeridge) ranked seventh in overall abundance at Sylvan Slough (3.3/m-; 6.0%), third at Case-IH (14.0/m-; 15.6%), and fourth at Illmiwek (10.3/m-; 8.6%). Megalonaias nerwsa (Washboard) ranked between sixth and eighth in overall abundance and only accounted for 2-4% of the unionids collected at Reach 15 sites between 1994 and 1995. Mean unionid densities at the three sites sampled in the 1994-95 survey increased significantly (p < 0.001) in the upriver direction (i.e.. Sylvan Slough (53.4/m-) < Case-IH (86. 7/m^ < Illiniwek (1 18. 3/m=)) (Table A-12). This is likely attributable to the similar trend in mean densities of three of the more abundant species, E. lineolata, T. truncata, and A. plicata (Table A-7). Only two species, Quadrula metane\ra (Monkeyface) and Truncilla donaciformis (Fawnsfoot), had densities which increased significantly in the downriver direction (Illiniwek < Case-IH < Sylvan Slough). Temporal trends in unionid abundance reflect a significant decline (p < O.OOI) in mean unionid density at both Sylvan Slough (refuge) and Case-IH (harvested) over the past decade (Table A-12). Between 1985 and 1995, six mussel species {A. plicata, M. nerwsa, Leptodea fragilis , Potamilus alatus, Potamilus ohiensis, and U. imbecillis) showed statistically significant declines (p < 0.001) in mean densities at the Sylvan Slough site (Table A-9). During the same time period, four species (L. fragilis, P. alatus, T. truncata, and T. donacifonnis) declined (p ^ 0.01) at the Case-IH site (Table A-11). No species showed a significant increase at either of the two sites. Mean overall unionid density at Illiniwek (98 samples, 118. 3/m-^ and Sylvan Slough (116 samples, 53.4/m=) were likely (p = 0.05) within 10% of their actual densities (Table B-1) based on the statistical technique described by Green (1979). Greater sample variance and fewer samples at Case-IH (72 samples, 86.7/m^ resulted in an estimate within 15 % of the actual density. Although fewer samples were collected during quantitative sampling m Reach 15 during 1983 and 1987, density estimates were still within 20% of the actual density at Sylvan Slough and between 30% -40% at Case- IH (Table B-1). We also applied this technique (Green 1979) to density estimates for individual species (Tables F-2 to F-4). Density estimates for abundant species at each site were the only ones which had a 95 % probability of being within 20 % -30 % of their actual densities (Tables B-2 to B-4). To estimate the uncommon or rare species with the same level of precision would require an unreasonably large number of samples (i.e., 1,000 to 61,000 samples). Density histograms based on shell height for all commercial mussel species collected over the past decade at Reach 15 sites exhibit a truncated distribution pattern which coincides with the minimum commercial size limit (Appendix D). Possible explanations for this trend are: (1) shortly after reaching the minimum size limit all commercial mussel species experience a period of near complete mortality, (2) the minimum size limit is at or near the maximum achievable size for commercial species in Reach 15, or (3) commercial musselors are extremely efficient at removing adult mussels from the population once they reach the minimum size limit. Our data from Reach 15 mussel populations over the last decade indicate that the latter is the most likely explanation for the truncated distributions. For example, at Sylvan Slough in 1983 and 1985 (Figure D-5) and at Case-IH in 1987 (Figure D-10) there were relatively large cohorts of adult A. plicata in the 60- to 70-mm size intervals, just below the minimum commercial size limit. Within 2 to 4 years these apparently strong cohorts were missing or not evident from the population as they were not identifiable in subsequent histograms. The disappearance of these cohorts probably occurred within a few years after they grew beyond the minimum commercial size limit. Sylvan Slough was designated a mussel refuge in 1988, and yet seven years later (1995) the distribution patterns of the primary commercial species remain truncated at the minimum size limit similar to harvested beds, suggesting that illegal harvest occurred within this reflige. In fact, individuals have been prosecuted for illegally harvesting mussels in the Sylvan Slough refuge (Scott Wright, IDNR Conservation Warden, personal communication) The 1994-95 densities of commercial mussels with heights greater than the minimum size limit (legal- size) is extremely low at all three Reach 15 sites (Appendix C). The mean density of legal-size A. plicata ranged from a low of 0.24/m- at Sylvan Slough to a high of 1.12/m= at Case-IH (Table D-1). Based on these density estimates there are from 2,424 (Sylvan Slough) to 11,314 (Illiniwek) legal-size A, plicata/h&:taTe (970 to 4,526/acre) (Table G-8). There are even fewer legal-size M. nervosa, with densities from 0.06/m- to 0.24/m- or 606 (Case-IH) to 2,424 (Illiniwek) legal-size mussels per hectare (242 to 970/acre) (Table G-8). Recruitment Recent recruitment estimates from the ten species we evaluated in 1994-95 indicate a high degree of variability among species and study sites (Table F-1). Mean density of recent recruits ranged from a low of 0.01/m- (M. nerwsa) to a high of 3.97/m- (Q. pustulosa). Densities of recent recruits were similar among sites for six mussel species (A. plicata, M. nerwsa, Q. metanevra, Q. pustulosa, Q. quadrula, and O. reflexa). The remaining four species (£. lineolata, L. fragilis, T. truncata, and T. donaciformis) showed significant differences in recruitment among sites; for example, the density of recently recruited E. lineolata was significantly greater at Illiniwek (3.34/m-\) than at the two other sites (Case-IH = 0.56/m* and Sylvan Slough = 0.65/m-) (Table F-1). Sf)ecies with the highest mean recruitment densities, Q. pustulosa (4.0/m-^, E. lineolata (1.5/m-), and T. truncata (l.S/m^^, were also the three most abundant species collected from Reach 15 in the present survey (Table A-5). Some species showed little evidence of recent recruitment at one or more of the study sites; we did not collect any M. nerwsa or Q. metanevra (Monkeyface) less than 30 mm in length from either of the two harvested beds (Case-IH and Illiniwek) and only one M. nervosa and two Q. metanevra at the refuge bed (Sylvan Slough). Recruitment information from Sylvan Slough (Table F-1) and Case-IH (Table F-3) between 1983 and 1995 demonstrates the unpredictable nature of mussel recruitment. Some species exhibit fairly constant recruitment (e.g., Q. pustulosa) with relatively high densities of young mussels in most years, while others show evidence of sporadic recruitment (e.g., T. truncata, T. donaciformis, and M. nervosa). Interpretation of recruitment information is difficult since we know very little about the natural reproductive patterns of mussel species and how they are affected by environmental conditions (i.e., water temperature, floods, turbidity, etc.), biological factors (i.e., mussel abundance, host abundance, peak gravidity, etc.), or anthropogenic stressors (i.e., commercial harvest, recreational or commercial boat traffic, pollutants, etc.). Density distributions based on shell length (Appendix C) and age (Appendix F) facilitate the identification of strong or weak cohorts which can be used to ascertain long-term trends in recruitment. For example, most mussel species typically showed a modal age distribution produced by years of significant recruitment (strong cohorts) and years with poor recruitment and/or survival (weak cohort). Two mussel species, M. nervosa and A. plicata, which show very different recruitment patterns are discussed in greater detail. (1) M. nervosa exhibited relatively low densities of recent recruits (< 1.0/m^ in most quantitative surveys conducted by INKS in Reach 15 in the last ten years (1985-1995) (Tables F-1 to F-3). Density distributions based on age and shell length from 1994-95, show few young (age < 7 years) (Figures E-1, E-3, and E-5) or small mussels (shell length < 85mm) (Figure C-2). In fact, the last significant recruitment by M. nervosa at our sites probably occurred in 1984-85 and can be identified in nearly all density distributions (age, length, and height) since 1987; for example, the density distribution (based on age) for M. nerwsa collected in 1987 Sylvan Slough shows a strong (6.88/m-) age 2-3 cohort (Figure E-2), which can be identified in the density distribution from 1994-95 as an age 9-10 cohort (Figure E-1). This indicates M. nervosa experiences infrequent recruitment success, possibly only once during this ten year period. Heath et al. (1988) suggested an approximate 7- year recruitment cycle for M. nervosa in the Wisconsin portion of the UMR. (2) A. plicata exhibited a more consistent recruitment pattern, with recent recruit densities typically between 0.23/m- and 0.68/m- in 1985 and 1995 (Tables F-1, F-2, and F-3). Density distributions from all study sites (1983-1995), based on age (Figures E-1 to E-6), shell length (Figures C-10 and C-20), and shell height (Figures D-1, D-5, and D-10), show that A. plicata successfully recruit individuals to their population each year and occasionally produce an especially abundant cohort (1985-86, see Appendix E). Age and Growth We observed strong non-linear age-size (Tables G-3 and G-4) and size-weight (Table G-7) relationships for the five commercial mussel species (A. plicata, M. 10 nenvsa, Q. quadrula, Q. pustuhsa, and Q. metanevra) evaluated from Reach 15. Growth curves (Appendix G, Part IV) and calculated size-at-age (Appendix G, Part III) indicate growth rates of Reach 15 mussels are similar to other UMR populations (Woody 1988; Heath et al. 1988) and much lower than populations in the Illinois River (Whitney et al., unpublished data). Growth rates decreased sharply with increasing age. Annual increase in length for the five species can be summarized as: (1) mussels aged 1 to 5 grow greater than 7 mm/yr (up to 17 mm/yr for M. nerwsa), (2) mussels aged 6 to 11 grow from 4 to 10 mm/yr, (3) mussels aged 12 to 17 grow from 2 to 4 mm/yr, and (4) mussels aged greater than 18 grow less than 2 mm/yr. Species specific annual growth rates can be determined from Appendix G, Part III. On average, sexual maturity of most commercial mussel species (A. plicata, M. nenosa, Q. pustulosa, Q. metane\ra, and Q. quadrula) occurs during their seventh or eighth years, with a range from 5 to 12 years of age (Table G-2). The time required for a commercial species to reach minimum harvestable size ranged from 19 to 24 years; M. nenvsa took the longest, requiring 24 years to reach a shell height of 101.60 mm (4 inch), A. plicata required 21 years to reach a shell height of 69.85 mm (2.75 inch), and the three Quadrula species required 19 to 21 years to reach a shell height of 63.5 mm (2.5 inch). These values are similar to the results from other growth studies in the UMR (21 years for M. ner\-osa, [Heath et al. 1988]) and neariy double the time required by the same species in the Illinois River (e.g., A. plicata reached minimum commercial size in 9 years in Peoria Reach and 13 years in the Alton Reach of the Illinois River [INHS, unpublished data]). Mortality Mean unionid mortality at Sylvan Slough reached 30.4% in 1983; eight mussel species had mean mortalities greater than 25%, including M. nervosa (45%), Q. pustulosa (37.6%), A. plicata (34.9%), and T. truncata (33.3%) (Table A-8). Since 1983, mortality rates have generally declined; however, these high mortalities in the eighties likely contributed to the significant decline in abundance of many of these species during the past decade (Table A-9). During the current survey (1994-95), mean unionid mortality at the three study sites was estimated at 0.81% at lUiniwek, 1.15% at Sylvan Slough, and 4.27% at Case-IH. We are concerned about the apparent increase in mortality at Case-IH, which has increased from 1.88% in 1987 to 4.27% in 1994. Amblema plicata showed increased mortality from 1.52% in 1987 to 6.67% 1994 (Table A-10). Overall mortality rates of the other two sites appear to be within acceptable levels, since they are typical of most mussel populations we have sampled (INHS, unpublished data). Zebra Mussels We believe zebra mussels first arrived in Reach 15 m late 1991 or eariy 1992. The largest individual collected in July 1994 measured 28.35 mm. From growth studies in the Illinois River, this individual would have been from 2 to 3 years of age (INHS, unpublished data). Length-frequency histograms (Figure H-1) indicate that at least one and at most two zebra mussel cohorts settled in Reach 15 in both 1994 and 1995. Growth rates of zebra mussels in Reach 15 (determined from length-frequency histograms) are similar to those observed in the Illinois River in 1993 (INHS, unpublished data), with mussels reaching a length of 17 to 20 mm in their first growing season. Zebra mussel densities at Reach 15 study sites have increased significantly between July 1994 and July 1995 (Table H-1). The highest densities have consistently been found at the Illiniwek site where mean density increased exponentially, from 1.7/m- in July 1994 to 2,519/m- in July 1995. Dunng the same period, mean zebra mussel density at Sylvan Slough increa.sed from 0.6/m- to 426. 0/m". Much or the rivers flow is diverted away from Sylvan Slough by a rock seawall (Figure 3). This diversion may be the reason why fewer planktonic zebra mussel larvae (veligers) settled in Sylvan Slough than at Illiniwek. The infestation of native unionids at study sites increased from less than 1% in July 1994 to 48.9% at Illiniwek and 40. 1 % at Sylvan Slough in September 1995 (Figure H-2). Similarly, the mean degree of infestation increased from 0.0 to 2.31/unionid at Illiniwek and from 0.0 to 1.29/unionid at Sylvan Slough from July 1994 to September 1995 (Table H-3 and H-4). The maximum number of zebra mussels collected on an individual mussel was 37 on a Q. pustulosa collected from the Illiniwek site in September 1995 (Figure H-2). From our experience with zebra mussels in the Illinois River, we believe this degree of infestation is insufficient to create negative effects (i.e., reduced growth, restricted mobility, increased mortality) on unionid mussels. Ricciardi et al. (1995) used linear regression models to predict the intensity and impact of zebra mussel infestation on native unionids from field densities; their models predict severe 11 unionid mortality (> 90%) occurs when zebra mussel densities and mean infestation intensity reach 6,000/m- and 100/unionid. We predict that by 1996 or 1997 unionid mussels in Reach 15 of the UMR will experience significantly greater infestations by zebra mussels and will subsequently suffer reduced fitness and increased mortality. Management Recommendations A primary objective of this comprehensive study was to provide resource managers with critical information necessary for the evaluation of management and conservation strategies to protect, preserve, or enhance freshwater mussels in the Upper Mississippi River. Analysis of quantitative data collected on mussel populations in Reach 15 of the UMR over the past decade shows that mussel populations have declined significantly, recruitment of many species is sporadic, mortality has been relatively high, growth rates are generally slow, illegal harvest has occurred in the mussel refuge, and zebra mussel abundance and infestation of unionids are increasing rapidly. We believe the following management actions could help to conserve mussel populations in Reach 15 and possibly throughout the entire UMR. (1) Close the commercial harvest of live Megalonaias nervosa (Washboard). Studies conducted by the INHS in Reach 15 since 1983 indicate M. nervosa populations have suffered a significant (p < 0.001) decline in mean density (Table A-9), most likely the result of extensive commercial exploitation, unexplained die-offs from 1982 to 1985, and only one substantial recruitment event in the past ten years (Figure F-3). Commercial harvest reports from Illinois (Williamson 1994) and Iowa (Ackerman 1996) indicate a significant decline in the reported catch of live washboard despite a significant increase in fishing effort. In the Illinois portion of the Mississippi River 1 ,092,330 pounds of live washboard were reportedly harvested in 1987, compared to 49,967 pounds in 1994. In the Iowa portion of the Mississippi, 296,988 pounds of live washboard were harvested in 1986, compared with only 1254 pounds in 1992. In the past eight years the average price paid for live washboards has increased nearly 1000%, increasing from $0.22/lb in 1987 to $2.40/lb in 1995. As the number of live washboards has decreased, buyers have turned to dead (relic) washboards to meet the increasing demand of their Japanese consumers. In 1995 the average price paid for relic shell was $1.40/lb. In the late 1980's, Fritz (1988) recommended a larger minimum harvest size or a ban on the harvest of washboard in some reaches of the Mississippi River as the only alternatives to prevent the serious stock depletion of this species. Commercial harvest reports from 1987 to 1995 and results from the present mussel survey of Reach 15 indicate washboard stocks may be at or below the critical level required to maintain themselves, even without additional commercial pressure. At this point, merely increasing the size restrictions is an unacceptable alternative, as it would still allow the further depletion of the reproductive stock. If commercial harvest of live washboard is allowed to continue unchecked, they may soon be extirpated from some reaches of the UMR. (2) Establish entire reaches as mussel refuges. Although we support the need and rationale for mussel refuges, we believe the current mussel refuges only exist on paper and subsequently do not provide the services for which they were intended. Our studies in Reach 15 suggest illegal harvest has occurred in the Sylvan Slough refuge, since all commercial species collected within the refuge demonstrate a truncated size distribution at the minimum commercial size limit (Appendix D), a characteristic of harvested areas. In fact, individuals have been prosecuted for harvesting mussels in Sylvan Slough and other UMR mussel refuges (Scott Wright, IDNR Conservation Warden, personal communication). According to Wright, enforcement is difficult in that shellers must be caught harvesting within the refuge boundaries. Once removed from the refuge, illegally harvested shells can not be distinguished from legal shells taken elsewhere. If an entire reach were designated as a refuge, any persons possessing shells on the water or at access sites (boat ramps) within the designated reach would be subject to prosecution. The Upper Mississippi River Conservation Committee's (UMRCC) mussel ad hoc committee, which is composed of representatives from the five UMR states, recently recommended that two entire reaches of the Mississippi River be set aside as mussel refuges. An ideal reach for designation as a refuge would have the following characteristics: (1) good baseline data (mussel recruitment, density, diversity, harvest, etc.), (2) high density of commercial and non-commercial species, (3) high species diversity, (4) presence of threatened, endangered, or special concern species, and (5) conducive to enforcement (limited access, law enforcement presence, and public support). We believe Reach 15 has all these characteristics and would be a good candidate for a mussel refuge. 12 (3) Develop population models to guide and assist the management of mussels. Mussel populations are in urgent need of protection and management, but there is a lack of information on which sound management practices could be based. Among the very basic questions which need to be answered are: are mussel populations undergoing long-term decline? If so, what are the contributing factors and their relative importance. For example, is the problem caused by reduced recruitment, increased mortality (due to harvest, zebra mussels, and natural causes), or some combination of both? What is a sustainable harvest level? What age classes or size classes should be protected from harvest? These are the types of questions addressed by population models that are in common use in fish and wildlife management, e.g., for managing the deer herd in Illinois. Similar population models need to be developed to guide and assist the management of mussels. The recommended approach in developing these models is to gather data that will be immediately useful to resource managers in the UMR in regulating harvest of all commercial species, but at the same time begin development of a population model for one commercial species. Field and laboratory data would be used in the model, which would eventually simulate the outcome of various management decisions and varying degrees of zebra mussel impacts. The initial model should be for A. plicata (Threeridge) which makes up most of the commercial harvest in the UMR and is common to most of the medium and large rivers of the midwest. The exact modeling approach should be left to the discretion of the modeler, but an example is the dynamic pool approach described by Pitcher and Hart (1982). Although a crude model can probably be developed in one year, refinement, calibration, and verification of the model is likely to take longer, especially since it will require at least 5 years of field work, perhaps more. The reasons for such a long-term program are: (1) a long time series of data is required to capture sporadic recruitment events and associate these with causative factors, and (2) it will take a long time to collect data that were not collected in earlier studies (fecundity, age/shell length relationships, repeated measures of marked individuals to determine growth). A long-term commitment should be made to this program, because it would be a waste of resources to start a 5-year growth study involving recapture of marked mussels and then not complete it because of lack of funding. Improved management of mussels does not have to be postponed until the model is completed however, because the field investigations themselves would provide useful information on the status of mussel populations. The technical basis for management decisions should improve rapidly as the model and its information base improve year to year. (4) Monitor zebra mussel densities and impacts on native mussels in the Mississippi River. Zebra mussel densities and infestation of native unionid mussels have increased significantly since 1994. Between July 1994 and July 1995, zebra mussel densities at the Illiniwek study site increased from a mean of 1.5/m- to 2,519/m- (Table H-1) and infestation of native unionids increased from less than 1% to 48.9% (Figure H-2). As zebra mussel densities and unionid infestation continue to increase so will the likelihood of widespread unionid mortality. Without continuation of monitoring of Mississippi River zebra mussel populations to determine abundance and their effects on native unionid mussels, it will be difficult to justify the implementation of future mitigation strategies. Reach 15 would serve as an ideal location to continue to monitor the buildup and impacts of zebra mussel populations since we have quantitative baseline information on their abundance and infestation of unionids. Acknowledgements Funding for this research was provided by the former Illinois Department of Conservation (IDOC) (contract number PC 955391) which was reorganized into the Illinois Department of Natural Resources (IDNR) effective 1 July 1995. Additional support was provided by the Illinois Natural History Survey (INHS) and the Upper Mississippi River System Long Term Resource Monitoring Program (LTRMP), a cooperative effort of the U.S. Army Corps of Engineers, National Biological Service, and natural resource agencies of Illinois, Iowa, Minnesota, Missouri, and Wisconsin. We are indebted to Peggy Baker representing Tennessee Shell Company; to Wayne Davis representing the Kentucky Fish and Wildlife Resources and the Mussel Mitigation Trust Fund; and to Michael Vanderford representing the National Fish and Wildlife Foundation for their early financial support which allowed us to hire the necessary personnel and purchase sampling equipment utilized in the Reach 15 study. We are grateful to IDNR commercial fisheries biologist Bob Williamson and former commercial fisheries biologist Don Dufford for their support. We are indebted to Bob Schanzle of the IDNR for his assistance as a diver and willingness to lend a hand whenever needed. 13 Darin Osland (INHS) served as project assistant and diver. Other INHS employees assisting as divers or field assistants were Lori Soeken, Curt Elderkin, Chad Heffren, Andy Hershberger, Mike Schroeder, Ted Snider, Jim Stoeckel, and Andy Williams. Stephanie Wickman served as office manager during this project and Cammy Smith provided additional secretarial support. We are indebted to Larry Gross and Jim McNamara for their help fabricating and maintaining field equipment. Lorin Nevling was Chief of INHS during this project and Robert Herendeen and David Philipp served as directors of the INHS Center for Aquatic Ecology; their support was appreciated. Additional assistance in the field and laboratory was received from Andrea Wiemer, an intern in the Illinois Energy Education Development (ILEED) program; volunteers Kim Elkin and Heather Kline; and the LTRMP Field Station staff. References Ackerman, G. and R. DeCook. 1996. Commercial harvest of freshwater mussels in Iowa, 1995. Annual Commercial Harvest Report. 6pp. Blodgett, K. D. and R. E. Sparks. 1987a. Analysis of a mussel die-off in Pools 14 and 15 of the Upper Mississippi River. Illinois Natural History Survey Aquatic Biology Section Technical Report 87/15. 26pp. Blodgett, K. D. and R. E. Sparks. 1987b. A summary of freshwater mussel sampling in Mississippi River Pool 15, Upper Mississippi River. Report to Illinois Department of Conservation. Illinois Natural History Survey Aquatic Biology Section Technical Report 87/16. 11pp. Cawley, E. T. 1989. A survey of the unionid mussel populations of the Sylvan Slough mussel sanctuary, Pool 15, Upper Mississippi River. Report to the Illinois Department of Conservation Research Project 3-427-R. 32pp. Chamberlain, T. K. 1931. Aimual growth of freshwater mussels. Bulletin of the Bureau of Fisheries. 46: 713-739. Fntz, A. W. 1988. Illinois mussel shell harvest, 1987. Annual Commercial Harvest Report, IDOC. 10pp. Green, R. H. 1979. Sampling design and statistical methods for environmental biologists. John Wiley and Sons, New York. Heath, D. L., M. P. Engel, and J. A. Holzer. 1988. An assessment of the 1986 commercial harvest of freshwater mussels in the Mississippi River bordering Wisconsin. Mississippi River work unit summary report. Wis. Dept. of Natural Resources: La Crosse, WI. McCuaig, J. M. and R. H. Green. 1983. Unionid growth curves derived from annual rings: a baseline model for Long Point Bay, Lake Erie. Canadian Journal of Fisheries and Aquatic Sciences 40: 436-442. Neves, R. J. 1993. A state-of-the-unionids address. Pages 1-10 in K. S. Cummings, A.C. Buchanan, and L.M. Koch, eds. Conservation and management of freshwater mussels. Proceedings of a UMRCC symposium, 12-14 October 1992, St. Louis, MO. Upper Mississippi River Conservation Committee, Rock Island, Illinois. Neves, R. J. 1987. Proceedings of the workshop on die- offs of freshwater mussels in the United States. June 23-25, 1986 in Davenport, Iowa. Sponsored by U.S. Fish and Wildlife Service and Upper Mississippi River Conservation Committee. 166 pp. Neves, R. J. and S. N. Moyer. 1988. Evaluation of techniques for age determination of freshwater mussels (Unionidae). American Malacological Bulletin, Vol. 6(2): 179-188. Page, L. M., K. S. Cummings, C. A. Mayer, S. L. Post, and M. E. Retzer. 1991. Biologically significant Illinois streams. An evaluation of the streams of Illinois ba.sed on aquatic biodiversity. Project Completion Report F-llO-R. Illinois Department of Conservation and Illinois Department of Energy and Natural Resources. 485 pp. Pitcher, T. J. and P. J. B. Hart. 1982. Fisheries Ecology, page 251. The AVI Publishing Company, Incorporated, Westport. CT. 414pp. 14 Ricciardi, A., F. G. Whoriskey, and J. B. Rasmussen. 1995. Predicting the intensity and impact of Dreissena infestation on native unionid bivalves from Dreissena field density. Can. J. Fish. Aquat. Sci. 52: 1449-1461. Shannon, L., R. G. Biggins, and R. E. Hylton. 1993. Freshwater mussels in peril: perspectives of the U.S. Fish and Wildlife Service. Pages 64-68 in K. S. Cummings, A.C. Buchanan, and L.M. Koch, eds. Conservation and management of freshwater mussels. Proceedings of a UMRCC symposium, 12-14 October 1992, St. Louis, MO. Upper Mississippi River Conservation Committee, Rock Island, Illinois. Sparks, R. E. and K. D. Blodgett 1983. Effects of three commercial harvesting methods on mussel beds. Illinois Natural History Survey Aquatic Biology Section Technical Report 83/10. 44pp. Sparks, R. E. and K. D. Blodgett 1985. Effects of fleeting on mussels. Illinois Natural History Survey Aquatic Biology Section Technical Report 85/8. 94pp. Thiel, P. A. and A. W. Fritz. 1993. Mussel harvest and regulations in the Upper Mississippi River System. Pages 11-18 in K. S. Cummings, A.C. Buchanan, and L.M. Koch, eds. Conservation and management of freshwater mussels. Proceedings of a UMRCC symposium, 12-14 October 1992, St. Louis, MO. Upper Mississippi River Conservation Committee, Rock Island, Illinois. Williamson, R. A. 1995. Commercial mussel harvest from Illinois Waters in 1994. Aimual Commercial Harvest Report, IDNR. 13pp. Woody, Carol A. 1988. Reproductive biology, growth, and verification of three fish hosts of Magnonaias nerwsa (Rafinesque, 1820) (Bivalvia: Unionidae) in the East Channel of Navigation Pool 10, Upper Mississippi River. Masters Thesis, University of Wisconsin-La Crosse, WI. Zar, J. H. 1984. Biostatistical Analysis. Prentice-Hall, Inc., Englewood Cliffs, New Jersey. 718pp. Sparks, R. E., K. D. Blodgett, L. Durham, and R. Homer. 1990. Determination whether the causal agent for mussel die-offs in the Mississippi River is of chemical or biological origin. Illinois Department of Energy and Natural Resources - Water Resources Publication 90/09. 27pp. Stansbery, D. H. 1961. The naiades (Moliusca, Pelecypoda, Unionacea) of Fishery Bay, South Bass Island, Lake Erie. Sterkiana 5: 1-37. Stein, C. B. 1973. The life history of Amblema plicata (Say, 1817), the Three-ridge naiad (Moliusca: Bivalvia). The Ohio State University, Ph.D., Department of Zoology. 174pp. Stanley Consultants. 1993. Mussel survey Sylvan Slough, Mississippi River, Rivermiles 485.3- 485.8. 38pp. Stoekel, D. B., K. D. Blodgett, and R. E. Sparks. 1996. Sediment contaminants in Reach 15 of the Upper Mississippi River. Final report to the Illinois Department of Natural Resources. 40pp. 15 Illinois ==^ Natural History ^= Survey Appendices A comprehensive evaluation of three mussel beds in Reach 15 of the Upper Mississippi River Center for Aquatic Ecology Scott D. Whitney, K. Douglas Blodgett, and Richard E. Sparks Illinois Natural History Survey August 1996 Aquatic Ecology Technical Report 96/7 List of Appendices Appendix Description A Unionid species richness and abundance B Calculated number of samples required to estimate actual density within specified level (%) C Density distributions based on shell length D Density distributions based on shell height E Density distributions based on mussel age F Unionid mussel recruitment G Commercial species age and growth H Zebra mussels {Dreissena polymorpha) Appendix A Unionid Species Richness and Abundance Reach 15 of the Upper Mississippi River Appendix A Unionid Species Richness and Abundance Reach 15 of the Upper Mississippi River Description Page Table A-l: Summai-y of quantitative unionid sampling in Reach 15 - A-2 UMR. Table A-2 : Mean ± standard deviation (SD) and range of live unionid A-2 densities (no./m") at three sites in Reach 15 - UMR. Table A-3 : Number of Unionid species collected in Reach 15 A-3 (1983-1995). Table A-4 : Scientific and common names of unionid species collected in A-3 Reach 15 (1983-93). Table A-5 : Ranked species lists for Reach 15 sites. A-4 Table A-6 : Species summary for three sites in Reach 15, 1994-95. A-5 Table A-7 : Statistical comparison of mean densities of unionids among A-6 three sites in Reach 15, 1994-95. Table A-8 : Species summary for Sylvan Slougli (RM 485.8), 1983-95. A-7 Table A-9 : Statistical comparison of mean densities of unionids at Sylvan A-8 Slough (RM 485.8) between 1983-95. Table A-10 : Species summary for Case-IH (RM 488.5), 1985-94. A-9 Table A-11 : Statistical comparison of mean densities of unionids at Case-IH A-10 (RM 488.5) between 1985-94. Table A-12 : Statistical comparison of mean densities of unionids between A-11 sites and years in Reach 15. Page A-l Whitnev et al., Unionid Sun'ev - Reach 1 5 UMR Table A-1. Summary of quantitative unionid mussel sampling in Reach 15 of the Upper Mississippi River during surveys conducted by the Illinois Natural History Survey between (a) 1994-95 and (b) 1983-87. (a) 1994-95 Site Number of quantitative samples 0.25-m^ 1-m^ Total Area (m^) July '94 Aug '94 July '95 Sept '95 Sylvan Slough (RM 485.8) Case-IH (RM 488.5) Illiniwek (RM 492.4) 80 50 40 22 22 30 6 30 6 116 72 98 34 18 29 Total 170 44 60 12 286 81 (b) 1983-87 Site Number of quantitative samples 1-m^ Total Area May '83 Sept '85 June '87 Sylvan Slough (RM 485.8) Case-IH (RM 488.5) 4 8 8 6 8 20 14 20 14 Total 4 14 16 34 34 Table A-2. Mean, standard deviation (SD), and range of live mussel densities (no./m-) from three sites in Reach 1 5 of the Upper Mississippi River sampled between (a) 1994-95 and(b) 1983-87 (a) 1994-95 Site Mean ± SD/range of live m ussel densities (noJm-) July '94 Aug '94 July '95 Sept -95 0%erall Sylvan Slough (RM 485.8) 48,2±20.8 (0-100) 6S.9±30.3 (12-124) 45.0±15.0 (21-63) 53.4±25.0 (0-124) Case-IH (RM 488.5) 97.0±51.1 (8-232) 63.2±41.1 (4-180) 867±50,6 (4-232) lUinmek(RM 492.4) 150 7±42.7 (56-2 W) 124.5±41.4 (56-188) 82.7±34.2 (24-180) 837±15.3 (66-110) 118.3±48,8 (24-264) (b) 1983-87 Site Mean ± SD/range of live mussel den sities (no./m') May '83 Sept ■ 85 June ' 87 Sylvan Slough (RM 485.8) Case-IH (RM 488.5) 89.5±13.5 (75-109) 100.1±21,6 (69-132) 139.2±62.1 (62-216) 115.4±17.2 (93-149) 289.8±25.0 (214-515) Page A-2 Whitney et al., Unionid Sun'ey - Reach 1 5 UMR Table A-3. Number of unionid mussel species collected by the Illinois Natural History Survey during quantitative sampling at three sites in Reach 15 of the Upper Mississippi River between 1983 and 1995. Site Number of unionid species 1983 1985 1987 1994-95 Total Sylvan Slough (RxM 485.8) Case-IH (RiM 488.5) Illiniwek (RM 492.4) 18 21 21 23 19 23 20 25 24 25 Total 18 21 24 26 26 Table A-4. Scientific and common names of native unionid species collected in Reach 1 5 of the Upper Mississippi River during quantitative mussel surveys conducted by the Illinois Natural History Survey, 1983-95. Taxonomy follows Cummings and Mayer, 1992. Scientific Common 1. Actinonaias Jigamentina (Lamarck, 1819)., 2. Amblema plicata (Say, 1817) 3. 4. 5. 6. 7. Arcidens confragostts {Say, 1829) Cumberlandia monodonta (Say, 1829) Ellipsaria lineolata (Rafinesque, 1820) Fusconaia flava (Rafinesque, 1820) Lamps His cardium (Rafinesque, 1820) 8. Lampsilis higginsi (Lea, 1857) 9. Lasmigona complanata (Barnes, 1823) 10. Leptodeafragilis (Rafinesque, 1820) 11. Ligiimia recta (Lamarck, 1819) 12. Megalonaias nen'osa (Rafinesque, 1820).. 13. Obliqiiaria reflexa (Rafinesque, 1820) 14. Obovaria olivaha (Rafinesque, 1820) 15. Plethobasus cyphyits (Rafinesque, 1820).... 16. Potamilus alatus (Say, 1817) 17. Potamilus ohiensis (Rafinesque, 1820) 18. Pyganodon grandis (Say, 1829) 19. Quadnda metanevra (Rafinesque, 1820).... 20. Quadnda nodulata (Rafinesque, 1820) 21. Quadnda pustulosa (Lea, 1831) 22. Quadnda quadnda (Rafinesque, 1820) 23. Strophitus imdulatus (Say, 1817) 24. Tnmcilla donacifonnis (Lea, 1828) 25. Tnmcilla tnmcata (Rafinesque, 1820) 26. Utterbackia imbed His (Say, 1829) .Mucket .Threeridge .Rock-pocketbook ..Spectaclecase .Butterfly .Wabash pigtoe .Plain pocketbook -Higgins eye ..White heelsplitter .Fragile papershell ..Black sandshell ..Washboard .Threehorn wartyback .Hickorynut .Sheepnose ..Pink heelsplitter .Pink papershell .Giant floater .Monkeyface ..Wartyback ..Pimpleback -Mapleleaf ..Squavv^oot ..Fawnsfoot -Deertoe .Paper pondshell Page A-3 Whitney et al, Unionid Survey - Reach 15 UMR ,^-v u r- « ^ « ^ (U > ^ o ?3 cc oioioioioiDiQiaioictiQioiftia; 5 S -2 2 c g .5 ^ C 1 = S -d k; Oj X O :§ --! ^ OiOj s c, Ojc^ O ^ ci; c i; c c c ^ =-5 nil ^ oj U c^ >/-i ^D t^ oc ON O in ^ r- oc ON o C-) (N fN ^ - g = - 5 -^ "^^ DiDiOiDiOiDiQiQiOiaiQi -: ^ '^ 5 ^ c S S ^, s« - c; ^ >- < (^ :i ^ O) ^ G r S K 'c: C c c s: ■=: 1= ^ ^ ^ t^ iC ON O --V i2 <<<^^d)CJ)i<^a,ci;0.^^i>j^ tNr^Ttir, vcr^ocosO ^ r-- CO ON o • J« ^ >-, cn QJ s: ":: 2 5 ? ^ ^ -S 1i ill C^i \^ r-- sc ON o u-i \C t~- ac On O r-1 I '^ ON ON IT) m ^ IT, C^ -r 0d(Nddo'o'cdd--do-. ^?^, ^. a Is s ^2? c i: OS ^ C/3 O — CV O O U-l OC T d r- d d 8?;88 = oovcvo^cooo-a-o r- cc r^. o — ^o r- o r-J ^ d d -*' d r^i oc d d — d c> oc o o CN d — ' — ■ r^f^^r^-Tl^r^f^O-T-TOf^W-, r^roe- CN o o o o (^ » C IT/ -T s — ir! o =' c = c; r4 c f^ c\ c d c o c" o O O W-, O o 1/^ = s X oe or^ — r-Ovocr^O » o »s c\ tr, ir, Of, oc^oo — 00c OfNoooc — c^ — O oc f^ CC r^, O r- C^ (N •* r ^ ^ o tJ c ■5 •? a o -.5:5 Siill I"! I |.§ "3 o c S s; S. '^ S =: « - .^ 5 ■g-S 8SJ-§-S-S-2-5 S^^^ C '2 -<^ •^ in vo ON O — ^D V3 Table A-7. Statistical comparison (t-test) of mean densities of unionids among three sites in Reach 1 5 of the Upper Mississippi River, 1994-95. Statistically significant differences are denoted by the level of significance and the relationship (> or <) of mean densities. Reach 15 - 1994-95 Species Comparison of mean densities between sites Illiniwek:Sylvan Illiniwek:Case-IH Case-IH:Sylvan 1 . Actmonaias ligamentina NS 2, Amblema plicata ***> *> ***> 3. Arcidem confragosiis NS 4 . El lip sari a I in eolata ***> ***> ***> 5. Fiisconaia flava **> NS **> 6. Lampsilis cardium *> NS NS 1 . Lampsilis h igginsi NS NS NS 8. Lasmigona complanata NS 9. Leptodeafragilis ***> **> NS 10. Ligiimia recta NS NS NS 1 1 . Megalonaias nervosa NS NS NS 12. Ob liquaria reflexa ***> NS ***> 13. Obovaria olivaria NS NS NS 14. Potamihis alatiis NS NS NS 15. Pyganodon grandis *> NS NS 16. Oiiadnda metanevra ***< *< ***< 1 7 . Ouadrula nodulata NS **< NS 1 8 . Ouadnda pustidosa NS *< **> 19. Ouadrula quadnda NS **< NS 20. Strophitus imdulatus NS NS NS 2 1 . Tnmcilla donaciformis ***< *< **< 22. Truncilla tnincata ***> ***> ***> 23. Utterbackia imbecillis NS * - significant at p = 0 05 level ** - significant at p = 0.01 level ***-signi ficant at p = 0.001 level Page A-6 Whitney et al., Unionid Sun-ey - Reach 1 5 UMR c ^ *- 1/^ I 00 in 00 o^ 00 00 00 3 c ^ 8P888888888S8888888S8 8S88 «/^ ^ OP-ioodooo'ooo(NOOooooo — 00/-id- 8^88§S^8S8Sg88288S8S§8gS^ © i d^ddo;odvoooO|5-oo-oor:^§P;;2°fi?!'^ i s -Mf'^Ot~-Mr)OOsOO<00 — -5!— 8t--5-(N3«!^0'/^(NO — (N'OO'^OOsf', -T © c? 3 duSdorioddr-idMr-dddddooot^r^or-^oo © o^ g ~ "" t 8S88SS;^SSgS;^§§?^^§g5S-P^-5 c £ § •a g d •/-; dd.r;ddd CO dtN-rddTooi-OMj — 0"-.r~o 1 w-- 8gS8SSg8SS§222g§gS2gg8SS2 i g da;dd>/-.dddddmTrdd 1 r-> §^?5?52§§8^S?i288^8§S8~SgS^^ § :2 ^ d — dd«— — dodcK-Too^o — (NOjqf. 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XTi 00 tc ON ^ on m m /\ rj~i en a:i LTi C/^ 00 00 00 oo 00 00 00 a^ c o 00 :^2;z*":z2;:z^ Z 2: z z z z z Z Z ON 00 ■55 52 ^ ? 7//a pustulosa •ula quadnda lla donaciformis ^ * C3 Arcidens confragos FJlipsaria lineolata Fusconaia flava Lampsilis cardium Leptodeafragilis Ligumia recta Megalonaias riervo. II ■52 ^ <3 HI 1-2-2 o ?: ?: 2 'S II ^ 2 II 1 0 'E 50 ti SI ^ 1 . Pygan . Quadr . Quadr . Quadr . Quadr . Tnmci 1 rA en -rt ^r-i \d r- oo ON O ^ CA m ^ u~^ \0 t~- od on' T 5? 5^ ■c S^ o £ o o r- o CA o o o o r- o o o o oo o ^o o O O /■, O OC — ON r- o o — (N >-o cn -* o r-- ON ro vO r^ O -^ ^ ^ be ^ s — -S 2 s: =S ■i^ o I s s s i -s ^ - 5e o -P 11 vo r~ ON O — MO r~- ON O ON &• < ^ Table A-11. Statistical comparison (t-test) of mean densities of unionids at Case-IH (RM 488.5) between 1985, 1987, and 1994. Statistically significant differences are denoted by the level of significance and the relationship (> or<) of mean densities Case-IH (RM 488.5) Species Compa rison of mean densities between years 1985:1987 1985:1994 1987:1994 1. Amblema plicata **< NS ***> 2. Ellipsaria lineolata **< NS **> 3. Fusconaia flava *< NS **> 4. Lampsilis cardiimi NS NS NS 5 . Lampsilis h igginsi NS 6. Lasmigona complanata NS 7. Leptodeafragilis NS ***> ***> 8. Ligiunia recta NS NS **> 9. Megalonaias nen'osa NS NS NS 1 0 . Obliquaria reflexa **< NS NS 1 1 . Obovaria olivaria NS NS **> 12. Potamilus alatus NS ***> ***> 1 3 . Pot am this oh tens is NS 14. Pyganodon grandis NS NS 15. Oiiadrula metanevra NS NS NS 16. Ouadnda nodulata *< NS **> 17. Ouadnda pustulosa **< NS ***> 18. Quadnda qiiadmla * < NS *> 1 9 . Tnm cilia donaciform is NS **> **> 20. Tnmcilla tnm cat a NS **> ***> 2 1 . Utterbackia imbed I lis NS * -significant at p = 0.05 level ** -significant at p = 0.01 level *** - significant at p = 0.001 level PageA-10 Whitney et al., Unionid Survey - Reach 15 UMR Table A-12. Statistical comparison (t-test) of mean densities of unionids at Reach 15 (UMR) between sites and years (1983 to 1995). Statistically significant differences are denoted by the level of significance and the relationship (> or <) of mean densities. Reach 15 Sites : 1983 to 1995 Comparison of mean densities between sites and years Site Variables Significance Reach 15, 1994-95 Illiniwek : Sylvan Slough AAA > Reach 15, 1994-95 Illiniwek : Case-IH AAA >. Reach 15, 1994-95 Case-IH : Sylvan Slough AAA> Reach 15, 1987 Case-IH : Sylvan Slough AAA> Reach 15, 1985 Case-m : Sylvan Slough NS Sylvan Slough (RM 485.8) 1983 1985 NS Sylvan Slough (RM 485.8) 1983 1987 A < Sylvan Slough (RM 485.8) 1983 1994-95 AA> Sylvan Slough (RM 485.8) 1985 1987 NS Sylvan Slougli(RM 485.8) 1985 1994-95 AAA> Sylvan Slough (RM 485.8) 1987 1994-95 AAA> Case-IH(RM 488.5) 1985 1987 AA < Case-IH(RM 488.5) 1985 1994 AAA > Case-IH (RM 488.5) 1987 1994 AAA > * - significant at p = 0.05 level ** - significant at p = 0 01 level *** - sign ficantatp = O.OOnevel PageA-11 Whitney et al., Unionid Survey - Reach 1 5 UMR Appendix B Calculated number of samples required to estimate actual density within specified level (%) Reach 15 of the Upper Mississippi River Appendix B Calculated number of samples required to estimate actual density within specified level (%) Reach 15 of the Upper Mississippi Rrver Description Page Table B-1 : Calculated number of samples required to estimate unionid B-2 density at three sites in Reach 15 (UMR). (1.) Sylvan Slough (RM 485.8) 1983-1995 (2.) Case-IH(RM 488.5) 1985-1994 (3.) Illinivvek(RM 492.4) 1994-95 Table B-2 : Calculated number of samples required to estimate unionid B-3 species density at Sylvan Slough (RM 485 .8) m (a) 1 994-95 and (b)1985. Table B-3 : Calculated number of samples required to estimate unionid B-4 species density at Case-IH (RM 488.5) m (a) 1994 and (b) 1985. Table B-4 : Calculated number of samples required to estimate unionid B-5 species density at IlUniwek (RM 492.4) in 1994-95. Page B-1 Whitney et al., Unionid Survey - Reach 15 UMR Table B-1. Calculated number of quantitative samples required to estimate unionid density at three sites in Reach 15 (UMR) within x% of the actual density with a 0.05% probability of being incorrect. Based on the formula : n = [(2SD) ^ (xM)]-, where : n = number of samples required, SD = standard deviation, x = desired level of accuracy (i.e., 10% = 0.1), and M = mean unionid density based on samples collected Numbers within rectangles indicate the number of samples collected met or exceeded the number of samples required for each level of accuracy (%). Reach 15 (UMR) Site Date Density Samples Collected S amples Requ ired Mean SD 10% 20% 30% 40% 50% Sylvan Slough (RM 485.8) Case-IH (RM 488.5) Illinmek (RM 492.4) June 1994 June 1995 Sept. 1995 Overall 94-95 1983 1985 1987 1985-87 June 1994 Aug. 1994 Overall 1994 1985 1987 1985-87 June 1994 Aug. 1994 June 1995 Sept 1995 Overall 94-95 48.2 68.9 45.0 53.4 89.5 100.1 115.4 107.8 97.0 63.2 86.7 139.3 294.3 216.8 150.7 124.5 82.7 83.7 118.3 20.8 30.3 15.0 25.0 13.5 21.6 17,2 10.8 51.1 41.1 50.6 62.1 94.3 109.6 42.7 41.4 34.2 15.3 48.8 80 30 6 116 4 8 8 16 50 72 6 8 14 40 22 30 6 98 |74 19 8 5 3 77 44 19 9 5 3 11 1 5 3 2 |88 22 10 5 4 9 19 9 2 1 1 0 5 2 11 2 1 1 0 1 4 1 0 0 0 111 169 136 79 41 102 28 12 7 4 42 1 19 11 7 34 15 9 5 20 9 1 5 3 10 26 5 3 2 11 6 4 1 32 8 4 2 1 44 68 13 11 5 3 2 17 8 4 3 3 111 1 68 17 8 4 3 Page B-2 Whitney et al.. Unionid Sun'ey - Reach 1 5 UMR Table B-2. Calculated number of quantitative samples required to estimate unionid species density at Sylvan Slough (RM 485.8) in (a) 1994-95 (116 samples collected) and (b) 1985 (8 samples collected) within x% of the actual density with a 0.05% probability of being incorrect. Based on the formula : n = [(2 SD) ^ (xM)]-, where : n = number of samples required, SD = standard deviation, x = desired level of accuracy (i.e., 10% = 0. 1), and M= mean unionid density based on samples collected. Numbers within rectangles indicate the number of samples collected met or exceeded the number of samples required for each level of accuracy (%). (a) 1994-95 (116 samples) Species Density (/m') Samples Requi red Mean SD 10% 20% 30% 40% 50% 1 Ouadnila pustulosa 14.15 9.89 195 49 22 12 8 Ellipsaha lineolala 6.80 5.73 284 /I 32 18 11 Truncilla truncata 8.44 7.29 298 75 33 19 12 Obliquaria rvjlexa Quadrula metanevra 3.94 4.42 4.03 5.11 418 535 105 46 59 26 33 17 134 Amblema plicata 3.25 4.26 687 172 76 43 Afegalonaias ner\'osa 2.24 3.18 806 202 90 50 Tntncilla donaciformis Lep to dea fragilis 4.49 1.78 6.50 3,22 838 1309 210 93 52 82 327 145 Quadnila quadrula Ligumia recta 1.85 0.28 3.58 0,99 1498 5001 374 166 1250 556 94 60 313 200 Lamps! lis cardium 0.25 0,96 5898 1475 655 369 236 Utterbackia imbecillis 0.22 0,90 6694 1674 744 418 268 Plethobasus c\phvus 0.32 1,31 6704 1676 745 419 268 Quadnda nodulata 0.29 1,27 7671 1918 852 479 307 Potamilus alatus 0.14 0.74 11176 2794 1242 698 447 Actinonaias ligamentina 0.10 0.64 16384 4096 1820 024 655 Lampsilis higginsi 0.10 0.64 16384 4096 1820 024 655 Fusconaiaflava 0.10 0.64 16384 4096 1820 024 655 A/videns confragosus 0.07 0.53 22931 5733 2548 433 917 Pyganodon grandis 0.10 0,83 27556 6889 3062 722 1102 Strophitus undulatus 0.03 0,37 60844 15211 6760 3803 2434 j Obovaria olivaria 0.03 0,37 60844 15211 6760 >803 2434 1 (b) 1985 (8 samples) Species Density (/m^) Samples Required Mean SD 10% 20% 40% 50% Amblema plicata Lep to dea fragilis Ouadnila pustulosa Potamilus alatus Ttvncilla truncata Afegalonaias nerxosa Utterbackia imbecillis Quadrula quadrula Obliquaria rejlexa Etlipsaria lineolala Quadivla metanevra Pyganodon grandis Truncilla donacifonnis Potamilus ohiensis Fusconaiaflava Lampsilis cardium Ligumia recta A rcidens confragosus Quadrula nodulata Obovaria olivaria Plethobasus cypfnus 9.80 10.10 19.80 2.20 12.60 13.40 4.10 1.80 4.10 5.20 6.60 0.90 6.50 0.80 0.50 0.90 0.20 0.20 0.10 0.10 0.10 260 2 90 6,20 0,70 430 4,70 1,80 0,80 2,00 2,80 4,10 0,60 4,70 0,70 0,50 0,90 0,40 0,40 0,30 0,30 0,30 28 33 39 40 47 49 77 79 95 116 154 178 209 306 400 400 1600 1600 3600 3600 3600 100 100 400 400 900 900 900 7 3 T 1 8 4 4 ; 1 2 lu 10 4 3 -) 12 5 3 2 12 5 3 5 19 9 20 9 5 24 11 6 29 13 7 6 39 17 10 44 20 11 7 52 23 13 8 77 34 19 12 44 44 178 178 400 400 400 100 100 225 Page B-3 Whitney et al,, Unionid Survey - Reach 1 5 UMR Table B-3. Calculated number of quantitative samples required to estimate unionid species density at Case-IH (RM 488.5) in (a) 1994 (72 samples collected) and (b) 1985 (6 samples collected) within x% of the actual density with a 0.05% probability of being incorrect. Based on the formula ; n = [(2 SD) ^ (xM)]-, where : n = number of samples required, SD = standard deviation, x = desired level of accuracy (i.e., 10% = 0.1), and M = mean unionid density based on samples collected Numbers within rectangles indicate the number of samples collected met or exceeded the number of samples required for each level of accuracy (%). (a) 1994 (72 samples) Species Density (/m^) Mean SD Samples Required | 10% 20% 30% 40% 50% 1 Truncilla tnincata 18.00 11.43 161 1 40 1 18 10 6 Amblema plicata 14.00 12.31 309 77 34 19 12 Quadrula pustulosa 21.00 19.44 343 86 38 21 14 Obliquaria reflexa 9.17 9.45 425 106 47 27 17 Ellipsaha lineolata Quadrula quadrula Leplodeafragilis 13.78 2.61 2.06 15.11 3.73 3.66 481 817 1263 120 204 316 53 30 51 19 33 51 91 140 79 Megalonaias nervosa 3.61 6.52 1305 326 145 82 52 Truncilla donacifomiis Quadrula metanevra 2.00 0.83 3.84 2.00 1475 2323 369 581 164 92 59 258 145 93 Quadrula nodulata 0.61 1.72 3180 795 353 199 127 Fusconaia/la\'a 0.61 1.72 3180 795 353 199 127 Lampsilis cardium 0.50 1.48 3505 876 389 219 140 Pyganodon grandts 0.39 1,36 4864 1216 540 304 195 Potamilus alatus 0.17 0.80 8858 2215 984 554 354 Llgumia recta 0.11 0.66 14400 3600 1600 900 576 Lasmigona complanata 0.11 0.66 14400 3600 1600 900 576 Obovaria olivaria 0.11 0.66 14400 3600 1600 900 576 Sljvphilus undulatus 0.06 0.47 24544 6136 2727 1534 982 Lampsilis higginsi 0.06 0.47 24544 6136 2727 1534 982 (b) 1985 (6 samples) Species Dens Mean ty (/m^) SD Samples Requ red 10% 20% 30% 40% 50% Truncilla truncata 34.30 15.20 79 20 9 5 Amblema plicata 16.30 7.30 80 20 9 5 Obliquaria tv/lexa Ellipsaha lineolata 4.20 15.50 2.00 8.00 91 107 23 27 10 12 6 7 L ep to de a fragilis 20.20 10.80 114 29 13 7 Truncilla donacifomiis Quadrula pustulosa 7.30 22.70 4.30 14.80 139 170 35 43 15 19 9 6 11 7 Quadrula quadrula 2.80 2.00 204 51 23 13 8 Potamilus alatus 6.20 4.70 230 57 26 14 9 Megalonaias ner\-osa 2.70 2.20 266 66 30 17 11 Lampsilis cardium 1.20 1.10 336 84 37 21 13 Quadrula nodulata 0.50 0.50 400 100 44 25 16 Fusconaia flava 0.70 0.80 522 131 58 33 21 Utterbackia imbecillis 2.70 4.00 878 219 98 55 35 Potamilus ohiensts 0.70 1.10 988 247 110 62 40 Quadrula metanevra 0.30 0.50 1111 278 123 69 44 Arcidens confragosus 0.30 0.50 1111 278 123 69 44 Ligumia recta 0.30 0.50 1111 278 123 69 44 Obovaria olivaria ' 0.30 0.50 nil 278 123 69 44 Page B-4 Whitney et al., Unionid Sun'ey - Reach 1 5 UMR Table B-4. Calculated number of quantitative samples required to estimate unionid species density at Dliniwek (RM 492.4) in 1 994-95 (98 samples collected) within x% of the actual density with a 0.05% probability of being incorrect. Based on the formula : n = [(2 SD) - (xM)]-, where : n = number of samples required, SD = standard deviation, x = desired level of accuracy (i.e., 10% = 0.1), and M = mean unionid density based on samples collected. Numbers within rectangles indicate the number of samples collected met or exceeded the number of samples required for each level of accuracy (%>). (a) 1994 (98 samples) Species Dens Mean ity (/m^) Samples Required SD 10% 20% 30% 40% 50% Ellipsaria lineolata 35.02 18.14 107 27 12 7 4 Truncilla truncata 35.59 21.26 143 36 16 9 6 Amblema plicata 10.34 7.51 211 53 23 13 8 Ouadrula pustulosa 16.17 12.11 224 56 25 14 9 Obliquaha rejlexa Leptodeafragilis 9.93 3.83 8.60 300 4.36 518 75 33 58 19 32 12 21 130 Afegalonaias nen.'osa Ouadrula quadrula 2.77 1.33 3.16 521 2.19 1085 130 58 33 68 21 43 271 121 Truncilla donaciformis Lampsilis cardium Fusconaia fla\'a 1.02 0.63 0.51 1.99 1523 1.45 2119 144 3189 381 169 95 61 85 530 235 132 797 354 199 128 Pyganodon grandis 0.50 1.65 4356 1089 484 272 174 Potamilus alatus 0.34 1.24 5320 1330 591 333 213 Utterbackia imbed His 0.42 1.55 5448 1362 605 340 218 Ouadrula melanevra 0.33 1.24 5648 1412 628 353 226 Ligumia recta 0.24 0.96 6400 1600 711 400 256 Arcidens confragosus 0.20 0.89 7921 1980 880 495 317 Lasmigona complanata 0.16 0.80 10000 2500 1111 625 400 Lampsilis higgmsi 0.13 0.70 11598 2899 1289 725 464 Obovaria olivaria 0.13 0.70 11598 2899 1289 725 464 Strophitus undulatus 0.09 0.58 16612 4153 1846 1038 664 Actinonaias ligamentina 0.12 0.90 22500 5625 2500 1406 900 Quadrula nodulala 0.05 042 28224 7056 3136 1764 1129 Potamilus ohiensis 0.04 0,40 40000 10000 4444 2500 1600 Cumberlandia monodonta 0.04 0.40 40000 10000 4444 2500 1600 Page B-5 Whitney et al, Unionid Survey - Reach 1 5 UMR Appendix C Density distributions based on shell length Reach 15 of the Upper Mississippi River Appendix C Density distributions based on shell length Pool 15 of the Upper Mississippi River Description Page Part I. Density distributions for unionid species from Sylvan Slough (RM 485.8), Case-IH (RM 488.6), and Illiniwek (RM 492.4), 1994-95. Figure C-1 : Amblema pUcata - Threeridge Figure C-2 : Megalonaias nen'osa - Washboard Figure C-3 : Ouadnda quadnda - Mapleleaf Figure C-4 : Quadnda pustulosa - Pimpleback Figure C-5 : Leptodea fragdis - Fragile papershell Figure C-6 : EUipsaria lineolata - Butterfly Figure C-7 : Obliquaria reflexa - Tlireehorn Figure C-8 : Tnincdla tnmcata - Deertoe Figure C-9 : Tnincdla donacifonnis - Fawnsfoot Part II. Densit>' distributions for unionid species at Sylvan Slough (RM 485.8) from 1983, 1985, 1987, and 1994-95. Figure C-10 Figure C-11 Figure C-12 Figure C-1 3 Figure C-14 Figure C-1 5 Figure C-1 6 Figure C-1 7 Figure C-1 8 Figure C-19 Amblema plicata - Threeridge Megalonaias nervosa - Washboard Ouadnda quadnda - Mapleleaf Ouadnda pustulosa - Pimpleback Ouadnda metanevra - Monkeyface Leptodea fragdis - Fragile papershell EUipsaria lineolata - Butterfly Obliquaria reflexa - Threehom Tnincilla tnincata - Deertoe Tnincilla donaciformis - Fawnsfoot Part III. Density distributions for unionid species at Case-IH (RM 488.5) from 1985, 1987, and 1994. Figure C-20 Figure C-21 Figure C-22 Figure C-23 Figure C-24 Figure C-25 Figure C-26 Figure C-27 Figure C-28 Amblema plicata - Threeridge Megalonaias nervosa - Washboard Quadnda quadnda - Mapleleaf Quadnda pustulosa - Pimpleback Leptodea fragdis - Fragile papershell EUipsaria lineolata - Butterfly Obliquaria reflexa - Threehom Tnincilla truncata - Deertoe Tnincilla donaciformis - FauTisfoot Page C-1 C-2 C-3 C-4 C-5 C-6 C-7 C-8 C-9 C-10 C-11 C-12 C-13 C-14 C-15 C-16 C-17 C-18 C-19 C-20 C-21 C-22 C-23 C-24 C-25 C-26 C-27 C-28 C-29 C-30 C-31 C-32 Part I. Density distributions for unionid species from Sylvan Slough (RM 485.8), Case-IH (RM 488.6), and Illiniwek (RM 492.4), 1994-95. Description Page Figure C-1 : Amhlema plicata - Threeridge C-3 Figure C-2 : Megalonaias nodosa - Washboard C-4 Figure C-3 : Ouadnda quadnda - Mapleleaf C-5 Figure C-4 : Quadnda pustulos a - Pimpleback C-6 Figure C-5 : Leptodeafragdis - Fragile papershell C-7 Figure C-6 : EUipsaria lineolata - Butterfly C-8 Figure C-7 : Obliquaria reflexa - Threehorn C-9 Figure C-8 : Tnincdla tnincata - Deertoe C-10 Figure C-9 : Tnincdla donaciformis - Fawnsfoot C-11 Page C-2 Whitney et al, Unionid Survey - Pool 15 UMR Length Interval (inch) n * ^ ^ - as 3 »-5 1^ •^ 'n "S 2: 5^ 'n >> ■S ''-1 d 1 <§ d d i d d d d w^ d 1/^ «-~ d o rj © 2§. o 2 © d d i si w X l 1 III d d d d 1 s d 15 ^i ?^ 5. s !• § 3 © d d © ill M c > 1 S2 o o d s o § ° — 2 O d 00 d IT) 00 5|5 d d d d d d IT) d d ^ = ©1© © Length Interval (mm) i^ ^ "^ ^ ^ ^ ^ % > ^ § ^ IQ § 0-1 ^ 0\ •x :c ^ ^P^ 8 s b n a ^ H ^ »o ^ uo « as s ^ y ^ ^ c3 0^ • * • • • • F yj 9J u X a> 05 o (A) ;S j= a> C/3 S o c < crs ^ ^ II H II % [ ■ ^ [ f c c E r 1 ■ r- oT' [Z c [Z c c c D D i f [ i [ 1 ■ ' i i , , 1 ! , , t , , , i. , t 1 f 1 ITi c 1 Pi [ ^ E ^ t [ 00* te fS E ,C ' TT i TT E 6ft i [ ■^ 1 c: 1 - — - .1 C [ ^1 ■d = o VO (s oc «s ^" — ' o © ^ «N 00 ^ O a «' -^ d d Q (^Ul/OU) X4ISU3Q VO 1 1 : f , . 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Description Page Figure C-10 : Amblema plicata - Threeridge C-13 Figure C-11 : Megalonaias nervosa - Washboard C-14 Figure C-12 : Ouadnda quadrula - Mapleleaf C-15 Figure C-13 : Quadrula pustidos a - Pimpleback C-16 Figure C-14 : Quadrula metanevra - Monkeyface C-17 Figure C-15 : Leptodeafragilis - Fragile papershell C-18 Figure C-16 : Ell ips aria lineolata - Butterfly C-19 Figure C-17 : Obliquaria reflexa - Threehom C-20 Figure C-18 : Truncilla truncata - Deertoe C-21 Figure C-19 : Truncilla donaciformis - Fawnsfoot C-22 Page C-12 Whitney et al., Unionid Survey - Pool 15 UMR c^ o I m — -:=; oo -^ 00 00 ^ ill 5j 2; . Qi Jo 90 «o tv. 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C/2 "« ^ o o o © © © o o © © © © o o o o o © c (S O' 00 so -^ fS ©' ©' 00 so -^ (S ©' ©* 00* vo Tt (N c Ml « o (jUi/'ou) XjisuaQ u s o ch 03 ? ? ^ OS c .=2 ss a T3 0: r- :2k 00 ON || |J i •rf 00 ON 1 § ,, t^H r-' v) a> JC On a> -^ Kh^ w c/:) ^ S "^ a> Ji 00 =^2 C/5 •S^' ^2 f^-a X) -55 c .2 JS 'C i- ^ Cu ;^D Q "o 00 1 1 Ft i a- 2 -E 1 § a- 0 B 1 0 M ■p ri c g f2 ^ ^ -c II II II 0\ S < X [■;: [■«-- ■^ fs o oc 'O -^ fs o (S o 00 ^, -* rj o fs o oc ^ rr fs c '^ '^ '^ d d d c d -^ -h" d d d d d '-J »-* d d d d c (jUi/-ou) X^isuaa Appendix D Density distributions based on shell height Reach 15 of the Upper Mississippi River Appendix D Density distributions based on shell height Reach 15 of the Upper Mississippi Rrver Description Page Parti. Density distributions for commercial mussel species from Sylvan Slough (RM 485.8), Case-IH (RM 488.6), and Illiniwek (RM 492.4), 1994-95. Figure D-1 Figure D-2 Figure D-3 Figure D-4 Amblema pUcata - Threeridge Megalonaias nen'osa - Washboard Quadnda quadnda - Mapleleaf Ouadnda piistidosa - Pimpleback D-2 D-3 D-4 D-5 D-6 Part II. Density distributions for commercial mussel species at Sylvan Slough (RM 485.8) from 1983, 1985, 1987, and 1994-95. Figure D-5 Figure D-6 Figure D-7 Figure D-8 Figure D-9 Amblema pUcata - Threeridge Megalonaias nen'osa - Washboard Quadnda quadnda - Mapleleaf Ouadnda pustulosa - Pimpleback Ouadnila metanevra - Monkeyface D-7 D-8 D-9 D-10 D-11 D-12 Part III. Density distributions for commercial mussel species at Case-IH (RM 488.5) from 1985, 1987, and 1994. Figure D-10 Figure D-11 Figure D-12 Figure D-1 3 Amblema plicata - Threeridge Megalonaias nen'osa - Washboard Ouadnda quadnda - Mapleleaf Ouadnda pustulosa - Pimpleback D-13 D-14 D-15 D-16 D-17 Page D-1 Whitney et al , Unionid Sun-ev - Reach 1 5 UMR Density (no./m^) poo b ^ k) p pppppppp p p p o o ui lu Ia» *o U s> ui ii. In b '«- k) l»j ■*» p p In as c ° 65 .3 ^:^.] i^i] .Hi 3\ C/3 3" 2. 3- n cfq" 5' 7 so '"" 5' C/5 OS 13 = II II 1^ oc II II II K> i -J 'as ce *^ ^ &: r OJ "I at 1 i1 i S5; § i; ^ i; % b; ^ bi ^ t^ i^ HI bo MM ssio o g m T i p k o s p p P i b ••!»|» V3 3 ? ON ^ j i ; : i M •: i p g p P 1 i s s ^ p o i P n 2 In : \ m iU 1 1 i i 1 llililM S 1 '1^ « 11 o b p p © o o i o k n 1 .-MM 1 ■ 1 11 i 1 II 11^ 1 ! •i 1 ^ Si* [ 1 L_ — ■a 51 ill c O 85 Density (no./m^) p •-> K) w *. tyi p H- s> oj jti. y» p ^ s» w *. oooooooooooo ooooo b b r-.i .13 i 13 ^D 1^ ^.^ II H II — K> ^ 0^ S oe 3" "" o 3 3 " in ■^ ffi C/3 c1 to -pi' o g ^ rt ^ 3 1 1 IJ^i^ i 1 1 1 M ^ i % b; t-^ "^ S V, ^'~^_^ M M i j i 1 g So Ja E O .-J i ip 1 'i "c o i M M \ ■■''■■■'■ \ O p. 1 E ^ r I o -J r l) 1 P P n 1 2 3 1 ?■ ^ 111 t i 1 i i ■ b bib p s s '^ g H ^ ^ ^ s g 5 s p 3 5 p 5' 1 s i: [ 1 1 £ k N ^ ^ ^ ^ u oo «e 5a 5 111 ii-a oi-a 6-a 8-a >fOBq9|duii J - vsopiisrid vpupvnQ jBspidBj/^ - vpiApvnb vpupvnQ pjBoqqsByW - vsoA^idu svivnopSdj^ 9§pu99jqX " ^woijd viudiqwy 6-a 3Jn§!j[ 8-a 3Jn§!j[ i-a 9jn§ij[ 9-a ajn§!j S-a 9Jn§!j 9BBJ uoj;duDS9a •S6-^66l pu« 'L861 'S861 'e86l uiOJJ (S'SSI^IMH) M§no|s uBA|Xs ;b saiDads pssniu iBpjaiuuioo joj suopnqu^sjp X^isuaa 11 ^^^d Density (no./m^) p O I— 7- K> K> b In b In b In b In b In b In b In b In b l/> b In b In b 1 .1 J 1 3 3 m. .Z3 n a «>> 00 =e \o 00 oe ^1 > 1 II 3 -. a 1 J.JjJ 1 M S . § ^ ^ ^ ^ bi I f D;i5!'^ Height Interval (mm) 0 s '-J P 0 0 = H. 5=r ; i £ be d...:.:.:..l,..:...i:.-.:.:i.-.-.:i ..:.:.:■ = pip 1 - 0 15 s 'lth° if ill on 3 1 In 0 1 P: itis ® p W C^ s S c = = 'ff^ k> tJ W '^ 'J\ '— '-ss ' s2 5 M ] MM d 0^0 let 0 p ^5 P 0 5 Se 00 P b 0 0 Si 0 i II- 3 s £ bit;; ! N S N ^ ^ ^ ae 00 i 1 5S iff -4 OR -J 5 Ln ;< 2? ere' c a O 3 ir SI < ?• 00 ^ ^ 5 00 S ^ ^. ■>• n> -a ~ rD c/5 — c/o ;k ^ 9 ^ I Density (no./m^) p N- K» U( ii. P T' © b b b b b b K) J*) jU b b b o ^ b b oj i». p -- {n> _u» .u 4ega ylva 983, D '~~- ^ ^ ^ ^ C/i S 00 ;:r !^ y g s- _-cr3 ^ ^ ^ ;5 oo ^^ J5 ^ p^ ^ p S§ 3 j^ !^ ^ 00 I poo b k> lu Density (no./m^) o o poooopppppppppp^ b\ be b KJ !u ON bo b k» *. as be b s) lu on bo o CM ■ ^ il '] 1 N> . B 1 J— 1 ^ m i P \ 1 i ^^ "1 D i 1 :! _J ^. ^ 1 = <^« ] 1 -^ \ 1 1 1 ON, 3 ^ :::::::| ::i::;::::::.::| 1 ?D5 mm,^\ 3 ^^ 00 , in ! ^ . ! CA — o - ^ 1 1 ^^ M^ ^ ^o ^ VO Oiii. ?^ 22 fc- ■ '/» ' — ' — ' : po O O S. C o ■a 3 > =:! ^ 5 ^ rt c« S^ (-•to a 1 SiSsial ^ ^ i; % Height Interval (mm) hJ p P i P Ojoloi 3 2 o ^|^:^ri^^^|^';^[^i^,S§ is P p i P o p[p iS p MiSr 1 1 I- o p gs £ p 1 i p P: :|S;:|| i P 1 be i 1 1 M M -^ 1 oe p 2 p o s p p p to p 5 Tk ^|5 ■o fit 1 1 is k; N ^ ^ ^ \i ^ ^ £ Oe ^<.l^ g^^ lit VO <-< ^tO 3 Density (no./m^) 3 — cr p — to OJ i» (y» ON p ►- K> OJ jU Ui 0^ p — N) OJ *-. (yi On p —> K> W *.. V» 0\ b b b b b b b b b b b b b b b b b b b b b b b b b b b b 2. 'J^ n D .a T OS.' 3 XI > = II ll II K> oe o« >o 00 C/l > 3 oe ce Cfq ^ c •n o « a o oc o . en M5 73 a O o s . VO ^ o '" ~. -J CTQ C o K> S" ft 5 2 a. o 3 ON &: (£ ^— s s ? ^ OJ N^ ft TO ft' ^ n ^ n lyi 3 gtSslllis*^^^^ 0\ § 1^ ^ 6; ^ till 1 ill i .1*; M- o is i 1 o e )0 be o 1 o p D5 i *i H ^ H riP rir-ip'p':. ll o sS =j:ts;^-; cjist; i^l^; ■1 p « }ji ij ^ -J 5^ CN s fejS - 1 « it Si M M M M I; rlU 5 N» -J b, 5 i i -l^l^l= : 1 *» ;::! [ i I ►j ►j K> I in > ^•i|?6ii&j?^ 1 M 1 M m S C/D ^ I Part I. Density distributions for commercial mussel species from Sylvan Slough (RM 485.8), Case-IH (RM 488.6), and Illiniwek (RM 492.4), 1994-95. Description Page Figure D-1 Figure D-2 Figure D-3 Figure D-4 Amblema plicata - Threeridge Megalonaias nervosa - Washboard Quadrula qiiadrula - Mapleleaf Quadrula pustulosa - Pimpleback D-3 D-4 D-5 D-6 Page D-2 Whitney et al., Unionid Survey - Reach 1 5 UMR til 5S 5S S «» 0© 3 r-^ t^ ©> ^ N 3 s •^ ^ ^ -n ;> I.I E ~ d 2; d d "7 d c £ n 5 ^ :2 d 1^ - \ d d d R o i § i^ J r^ * S ^ 1 1 ■ ' = St J:: C: CrtO'OlO o 5^ = =>■ 1 i 1 d d 30 d 2 d 3 d d d d >- a. (^ in j= fO w n r •d ./i ^ ^ y i" £ ^ S o ?i ^ ativ itati Ihc § 1 1 ^ ■^ ^ E 1 ■g o 5 1 •3 i 2 ^ 1^ 1 E c i3 ^ -2 II 11 II II c <|x-- Q i 3 O I/) o IT) o i/^ o "/^ o IT) o iTi © «r> o «r, o >r, o > > "-1 v^ P r* Y mwi 1 _ V> „ ^ „ © _ ^ ON » o (S r? o f^ fo 90 *- i ^ ^ o « c « Tftrj 'T n I ■■ ,•: i. o o © © © g 0 Sssi 1 : ' c ::::! E .u. , ■V T •wir- r- ^ » o o f^ « ■.■;-:d; = io did d o r> o s o o o © © O © © © © 1" 1 [ I ^ « •^ ^ ^k ^ ^^ !» ■n « *« ^ ;q ^ S S S iS ^, g X c - I ! r — — 1 = © © isi> f^ _ ON III ft c« a> |c c> -^ « t-~ ^ « c/^ ^ fo "S ^ V5 2 a. ro f 0 ^ -^ n ■5 U IT. j= C 0\ — i ^ «s (U •« cc ^ §..■ « =;^ c t^ •S 85 ^ ri .£ li 6X f~" =5 S ■f^ i^^ I! Q S Q u. [ [■^ 000000000000000000 o' Q I W o ft* -2 D (^ui/ou) Aisuaa > -A S ^ ^ -| c/D 2 5 -^ 00 c/3 — in OJl O) Height Interval (inch) = 0\ s s «> so s t^ ^ K 1 O :*■ H S o i d 1 s d d r3 d d i d WO d o -as o ^ «• o o 1 i i 1 t 1 ?• w-v oe f^ r^ f^ Ctw C- O * ~ C C Oi^ c a ^ i :; s o i .... 1 i i = = = = . ; -j'^rf rr 11 1 -, «1 T % 'Q ^ "^ 1^ «! ^ ■^ ^ g !Q§ 5 t 5 1 '^, ^i'^'<» c < « S S ^ CO 00 vo II 11 II c ■< IX S o *p On i2 ^ g ON 1^ 5 ♦^ .5 5^ .^ o Q Qi M M [- M M P M i ME ^ — i — i — i — i — MM oc ON M Mc: -t-Mb:i: ••■;••• rt t M , , n, , , 1 1 ir~ ! i ; EI M M[ M M [ i :| i i il^ M MC M 1 t: M M [ MM! L [ 4< 1.1 y )^ c 2. B -c^r^ « P > .2P i:i ■£ 5 y a. H ■= — s — = O ^ S s -= ^ = - 'S ■?'B 1 y £• = -ST' o sill £ "S I c = (- = c II II II II c < |x-— f^ rn ^ ^2 i ^ t 1 !Q § 00 00 52 11 ^ a. d C" [V^ Q % y IT, 'J- -a ■n 0 CN ^ y. -^ 0 ■^ - n re II u P Sj V .i — 5 Q. ^ 7; - y 2 ^ '^ — c ^ ■ = 0 0 y p c- n — '•^ y ^ 3 y c H c II II II II e < X o o 06 "O 0000000000 'Trsovo-^fso'^d'^fs (jUi/'ou) Xjisuaa ■S 2i E, On ""^ ^^ 2 J;2 C2 os •> * S d o :^i ON ON ^ 00 -- •2 ci:^ t- s: ^ ON - « ^u2 t/3 W 1. C/5 1 o — 00 ON i d 1/5 ^ •o o -t E i/i >o 1^ -is :S E £ II :^ o ^ f &i .§ f §11-1 o B g. Jf ■^ = E S ibcr of il area in dens iiniim II II II II c <■- I D O 00 — * d 'O -*_ (S o w^, ■*, f<^^ fs »-< o 1/^ ■*_ r^^ d 0\ d d d o o d d ojo 1 1 Height Interval (mm) <^ ^ iq ^ ^ ^ !? ^ :^ 55 :2 g^ § So ^ 1 1 "^ ^ "> o 'Tf tfa /'"N ON -2 "^ ^ oo 0^ s ki ^ ^2 (^ s ^ ^ ^ K oo 1 ON ^ ^ ON 2 -a 1^ 0)U in 00 ON f^ TT ■* n S ^ ;^ 00 — ^ ^ ;2i ±?^ D- c ON « — C/) ^~^ fS E 55 < 1^ E i?5 I5X) £: — 00 [ ^ ^ ir. i\ f- B- o r: •A ^ o p > ^ fi j^ 1 1 ■B o n y s i;. p o P ^ E t-1 JD c^ c- r C '- n II II II II c < X 6X-I On '5 fcX) s c = «n o yr> o IT) © o yrt o IT) o o yr> o •T! ^ 00 £ ss C3 S "^Q^ r- ^ Q ^ 00 a "s d: ON 1 ^ tn Ii oo ON .. .. , , zs TTn- W CT) ^ ^ •^' a> JZ a. «-> C/5 c •S u.' ^"^ c 3^ « ^s e: «-S !V E s ^ «s «o ^* ^1 •S.2 .22 a« •o a, I I 9 II s i.i^ ■ II = < IX II " ¥ s < \x ;^. --s- fo ■^ ?. n . ^. fS I i I j t- i i [ i r »s ! i C [- r" r- 1 1 C i 1 [ i 1 i 1 1 \ C C" c [" r ^ 1 00 i n- 1 ■ ■■■ 00 1 d \ 1 C 1 — IZ 1 — f" 6 i 1 1 2 [ [ [ ij c ■- ■■3 — wo c " q r: ^ (/^ — cr - fT) CD ■3 "n !■£ >;. •n = ^ c^ s E c ■F- II - 3 ,0 ■a »S c C II II II II iT) = < X o q lA d 11 13 15 17 19 21 23 25 27 29 31 33 35 Estimated Age (years) Page E-8 Whitney et al , Unionid Sun.-ev - Reach 1 5 UMR Table E-3. Density distributions based on estimated age for selected unionid species from Case-IH (RM 488.5) in Reach 15 of the Upper Mississippi River, 1994. Unionids were collected from 72 quantitative samples covering a surface area of 1 8 ml Age (vrs) Density (no./m^] AmPl MeNe OuOu OuMe OuPu ElLi ObRe 1 0 0.16 0.21 0.42 .Jiili .™0^"" : 0 0.06 0.05 0^05 0.16 0.21 0 0 6' 0 0.38 0.71 0.33 2 3 0.66 0.82 1.09 0.71 1.92 4 0 0 0 0 0.06 1.74 1.42 1.04 5 0.47 0.00 0.16 1.09 1.31 1.43 6 0.78 0.17 0.16 0.54 0.92 1.20 1.15 7 1.09 0.61 0.27 1.31 0.82 8 1.35 0.39 0.43 1.90 1.15 0.60 9 1.09 0.22 0.16 0.11 2.50 1.15 0.27 10 1.41 0.28 0.27 0.22 2.60 1-04 0.05 11 0.88 0.44 0.32 0.06 2.28 0.98 0.11 12 0.88 0.1 1 0.11 0.06 1.84 0.93 0.11 13 0.68 0.17 0.16 0.00 1.36 0.44 0.16 14 0.88 0.06 0.00 0.11 1.03 0.33 0.00 15 0.88 0.17 0.05 0.00 0.43 0.16 0.05 16 0.42 0.06 0.00 0.06 0.33 0.05 0.00 17 0.42 0.11 0.00 0.00 0.38 0.05 0.00 18 0.36 O.ll 0.00 0.00 0.11 0.00 0.05 19 0.16 0.22 0.00 0.06 0.22 0.05 0.00 20 0.21 0.11 0.00 0.06 0.00 0.05 0.00 21 0.26 0.11 0.00 0.06 '""""o^ 0 ^ 0 '_"'o 0^ ~ 0 0 0 u 0 0 0 0 0 0 0.00 0.00 0.05 22 0.16 0.11 0.00 0.00 0.00 0.05 23 0.21 0.06 0.00 0.11 0.16 0 0 0.00 0.00 24 0.16 0.00 0.00 0.00 0.00 25 0.10 0.00 0.00 0.00 0.00 26 0.00 0.06 0.00 0.00 0.05 0 0 0 0 0 _ 0 0 0 0.00 0.00 27 0.00 _0 tt 0 0 0 0 (t 0 0 0 0 0 0 0 0 0 0 0 0.00 0.05 0 0 (► 0 0 u " 0 0.11 0 0 0 0 u 0 0 0 0 28 0.16 " 0.05 29 30 0.00 0.05 31 32 0.05 33 0.00 0.05 34 35 0 0 36 Mean 14.00 3.61 2.61 0.83 21.00 13.78 9.17 Page E-9 Whitney et al., Unionid Survey - Reach 15 UMR E-4. Frequency histograms of density (no./m=) at age for selected unionid species from Case-IH (RM 488.5) in Reach 15 of the Upper Mississippi River, 1987. Unionids were collected from 8 quantitative samples covering a surface area of 8 m-. Estimated Age (years) 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 6.0 5.0 4.0 i 3.0- 2.0- 1.0 0.0 0.4 0.3 0.2 0.1 0.0 1.6 1.2 0.8 0.4 0.0 0.4 0.3 0.2 0.1 0.0 25.0 20.0 15.0 10.0 5.0 0.0 5.0 4.0 3.0 2.0 1.0 0 4.0 3.0 2.0 1.0 0.0 nnO Amhlema plicata x=40.6/m^ nn^nrn^n^nni 11 Innnnnnn Megalonaias nervosa x=1.9/m^ fl □on iH w Quadrula quadrula x=5.5/m^ nnr-^nr-. r^rnPHri Quadrula metanevra x=0.9/m^ rLDfl n n mMk Quadrula pustulosa x=61.1/m^ O D Ellipsaria lineolata x=32.8/m^ [jnrTinnnririnnn J Obllquaria reflexa x=14.4/m^ m OIL 3 5 7 9 11 13 15 17 19 21 23 25 27 29 Estimated Age (years) Page E-10 Whitney et al , Unionid Survey - Reach 1 5 UMR Table E-4. Density distributions based on estimated age for selected unionid species from Case-IH (RM 488.5) in Reach 15 of the Upper Mississippi River, 1987. Unionids were collected from 8 quantitative samples covering a surface area of 8 m-. Age (vrs) Density (no./m^) Am PI MeNe OuQu OuMe OuPu ElLi ObRe 1 0 .,:,.:. .0,.,.,.., ..::.:::.:.:.0,:: ,.....:., 0.13 0.75 0.63 0.38 2 0.75 0.25 0.13 0.00 1.13 1.13 1.77 3 0.87 0.38 0.25 0.13 2.13 5.13 3.41 4 1.37 0.00 0.00 0.13 6.64 5.63 2.40 5 3.37 0.25 0.63 0.26 6.01 4.76 2.53 6 5.25 0.25 1.63 0.00 11.64 3.13 0.88 7 2.50 0.00 1.00 0.00 24.92 2.25 0.76 8 1.37 0.00 0.25 0.00 2.13 1.13 0.51 9 0.87 0.00 0.25 0.13 0.88 0.50 0.25 10 0.50 0.00 0.13 0.00 0.63 1.00 0.25 11 0.75 0.00 0.25 0.00 0.25 0.50 0.38 12 0.62 0.00 0.13 0.00 0.63 0.63 0.13 13 1.00 0.00 0.00 0.13 0 0 ^0 0.63 0.75 0.00 14 1.00 0.00 0.00 0.50 0.38 0.25 0.75 0.25 0.00 0.50 T"~'~ a J 0 i)'" "" 0 '" 0 ^ " 0 1.63 0.25 15 0.50 0.00 0.00 1 0.13 16 1.25 0.00 0.13 0.00 17 1.87 0.00 0.00 1 0 o' 0 0 0 0 0.13 18 2.50 0.00 0.00 0.00 19 3.12 0.13 0.13 0 0 " 0.00 0.25" 20 1.37 0.25 0.13 21 1.62 0.13 0.25 0 22 2.00 0.13 0.13 0 0 0^ _ 0 " "' o" i}_ 6" ■^ 0^^ ^ ~"" 0 23 1.12 0.13 0 _ 0_ ' ' 0 " b' 0 0 ~" ' 0.00 0.00 0.00 0.00 0.13 0 0 b" " 0 0 0 1 o~ '0 0 0 24 2.00 25 0.87 26 0.87 0 ~' 0 ""^ 0 ^„.^.^., 0 27 0.37 28 0.37 29 r~o;i2 30 0.37 Mean 40.60 1.90 5.50 0.90 61.10 32.80 14.40 Page E- 11 Whitney et al., Unionid Sur\'ey - Reach 15 UMR Part III. Illiniwek (RM 492.4) Description Page Figure E-5 : Frequency histograms of density at age for selected unionid E-13 species from Illiniwek (HM 492.4), 1994-95. Table E-5 : Density distributions based on estimated age for selected E-14 unionid species from Illiniwek (RM 492.4), 1994-95. Species: Scientific - Common (Abbreviation) Amblema plicata - Threeridge (AmPl) Megalonaias nervosa - Washboard (MeNe) Ouadnda quadnda - Mapleleaf (QuQu) Quadrula metanevra - Monkeyface (QuMe) Quadnda piistidosa - Pimpleback (QuPu) Ellipsaria lineolata - Butterfly (ElLi)' Obliquaria reflexa - Threehom (ObRe)^ ' - were not aged in 1994-95 survey, age calculated from shell length using age/length regression equations from 1987, Page E-12 Whitney et al-, Unionid Survey - Reach UMR Figure E-5. Frequency histograms of density (no./m^) at age for selected unionid species from Illiniwek(RM 492.4) in Reach 15 of the Upper Mississippi River, 1994-95. Unionids were collected from 98 quantitative samples covering a surface area of 29 m*. Estimated Age (years) 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 1.2 1.0 0.8 0.6 0.4 0.2- 0.0 0.4 1 0.3 0.2 0.1 0.0 0.4 0.3 0.2 0.1 0.0 0.4 0.3 0.2 0.1 0.0 2.5 2.0 1.5 1.0 0.5 0.0 4.0 3.0 2.0-t 1.0 0.0 1.6 1.2 0. 0.4 0.0 Mm Amblema pUcata x=10.3/m^ DnnnnHn nFlr^^F^I. Pin DnO Megalonaias nervosa x=2.8/m^ J\nW. rfl r— It II 1r-i JL JL Quadrula quadrula x=1.3/m^ lln'nrinFln'Rn n^ __ m ^ pp^ Quadrula metanevra x=0.3/m^ -^3 CyiF?aF^^a _ rmr^ m Quadrula pustulosa x=16.2/m^ QIQ uU F"1 rp r^ -^ r-n ^ -, J Ellipsarla Uneolata x=35.0/m^ E IFirpr^m ^ Ohllquaria reflexa x=9.9/m^ ^nrp. 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 Estimated Age (years) Page E-13 Whitney et al , Unionid Survey - Reach 1 5 UMR Table E-5. Density distributions based on estimated age for selected unionid species from Uliniwek (RM 492.4) in Reach 15 of the Upper Mississippi River, 1994-95. Unionids were collected from 98 quantitative samples covering a surface area of 29 m-. Age (yrs) Density / (no./m' ) AmPI MeNe QuQu QuMe QuPu ElLi ObRe 1 0.02 0 0 0.03 0 0 ^ 0 0.21 0.07 0 0 0 0.03 0 . 0 0.03 1.74 ~ 3.30 0.21 2 0.27 3.46 0.63 3 0.22 2.33 1.98 4 0.24 0.19 2.41 1.64 5 0.68 0.09 2.62 3.22 1.39 6 0.93 0.12 0.09 0.00 1.60 2.87 1.14 7 0.90 0.09 0.09 0.00 1.74 2.37 0.97 8 1.05 0.19 0.05 0.00 1.26 2.52 0.67 9 0.61 0.37 0.14 0.03 1.60 2.41 0.25 10 0.71 0.34 0.07 0.03 0.95 2.64 0.34 11 0.54 0.28 0.09 0.03 0.95 2.29 0.29 12 0.64 0.19 0.07 0.03 0.82 1.75 0.08 13 0.51 0.03 0.23 0.00 1.02 1.09 0.00 14 0.49 0.16 0.05 0.03 0.27 0.62 0.13 15 0.42 0.06 0.02 0.03 0.37 0.43 0.08 16 0.44 0.12 0.00 0.00 0.20 0.47 0.04 17 0.29 0.03 0.02 0.00 0.20 0.23 0.00 18 0.17 0.06 0.02 0.00 0.27 0.23 0.00 19 0.34 0.09 0.00 0.00 0.07 0.12 0.00 20 0.17 0.03 0.05 0.00 0.17 0.08 0.00 21 0.12 0.00 0.00 0.07 0.00 0.12 0.04 22 0.15 0.00 0.00 0.00 0.00 0.08 Q _ ■' T^ '~ 0 'o' 0 0.00 23 0.07 0.03 0.05 0.00 0.07 0.00 24 0.05 0.00 0.02 0.00 0.07 0.04 _0__, 0 25 0.10 0.09 0 0 0.00 0.00 26 0.05 0.03 0.00 0.00 27 0.00 0.00 0.00 0.10 0 28 0.02 0.00 0 0.00 0.00 0 29 0.02 0.03 0 0 0 0 0.00 0.00 0 0 0 0 0 30 0.00 0.00 0.00 0.03 0 0.00 0.00 0.00 0.00 ~0.00 0.00 0.03 31 0.00 0.00 32 0.02 0.06 33 0.02 0.00 0 0 0 0 0 0 0 34 0.00 0.00 0 35 0.02 0.00 0 36 0.02 0.03 Mean 10.34 2.77 1.33 0.33 .6.17 35.02 9.93 Page E-14 Whitnev et al., Unionid Sur\-ev - Reach 1 5 UMR Appendix F Unionid mussel recruitment Reach 15 of the Upper Mississippi River Appendix F Unionid mussel recruitment Reach 15 of the Upper Mississippi RKer Description Page Figure F-1 : Recruitment of unionid mussel species at Sylvan Slough F-2 (RM 485.8), Case-IH (RM 488.5), and Illimvvek (RM 492.4), 1994-95. Figure F-2 : Recruitment of unionid mussel species at Sylvan Slough F-3 (RM 485.8), 1983, 1985, 1987, and 1994-95. Figure F-3 : Recruitment of unionid mussel species at Case-IH (RM F-4 488.5), 1985, 1987, and 1994. Page F-1 Whitney et al., Unionid Survey - Reach 1 5 UMR Figure F-1. Recruitment ofunionid mussel species at three sites in Reach 15 of the Upper Mississippi River, 1994-95. Length-frequency distributions (Appendix C) were used to calculate percentage (%) and density (no./m-) of individuals within the specified size range. Species Recruitment Size (mm) Percentage (%) Density (no./m^ ) Sylvan Sloueh Case Illiniwek Mean Sylvan Slough Case Illiniwek Amblema plicata <30 7.42 3.96 6.59 5.99 0.24 0.56 0.68 0.49 Megalonaias nervosa <30 1.52 0.00 0.00 0.51 0.03 0.00 0.00 0.01 Quadnda metanevra <30 1.40 0.00 0.00 0.47 0.06 0.00 0.00 0.02 Quadnda pustulosa <30 30.34 17.73 23.93 24.00 4.30 3.72 3.90 3.97 Quad ru I a quadrula <30 19.68 14.89 16.67 17.08 0.36 0.40 0.22 0.33 Ellipsaha lineolata <30 9.59 4.03 9.54 7.72 0.65 0.56 3.34 1.52 LeptodeafragUis <30 21.83 56.76 23.88 34.16 0.37 1.17 0.92 0.82 Obliquaria rejlexa <15 6.99 2.46 4.76 4.74 0.21 0.22 0.48 0.30 TruncUla truncata <15 10.91 11.80 44.83 22.51 0.93 2.13 1.42 1.49 TruncUla donaciformis <10 31.43 2.78 0.00 11.40 1.41 0.06 0.00 0.49 Page F-2 Whitney et al., Unionid Survey - Reach 1 5 UMR Figure F-2. Recaiitment of unionid mussel species at Sylvan Slough (RM 485.8) in Reach 1 5 of the Upper Mississippi River, 1983, 1985, 1987, and 1994-95. Length-frequency distributions (Appendix C) were used to calculate percentage (%) and density (no./m-) of individuals within the specified size range Species Recruitment Size (mm) Percentage (%) Density (no./m^ ) 1983 1985 1987 1994-95 Mean 1983 1985 1987 1994-95 Mean Amblema plicata <30 0.00 3.84 9.61 7.42 5.22 0.00 0.38 0.64 0.24 0.32 Megalonaias nervosa <30 0.00 0.93 3.45 1.52 1.48 0.00 0.13 0.50 0,03 0.17 Ouadrula metanevra <30 0.00 7.17 2.78 1.40 2.84 0.00 0.12 0.25 0.06 0.11 Onadrula pustulosa <30 16.86 16.45 9.72 30.34 18.34 3.50 3.27 2.77 4.30 3.46 Ouadrula quadrula <30 9.09 1.89 10.00 19.68 10.17 0.25 0.13 0.13 0.36 0.22 EUipsaria lineolata <30 0.00 2.38 4.17 9.59 4.04 0.00 0.12 0.25 0.65 0.26 Leptodea fragilis <30 5.40 3.70 10.98 21.83 10.48 0.50 0.37 1.14 0.37 0.60 Obliquaria reflexa < 15 0.00 3.13 2.56 6.99 3.17 0.00 0.13 0.13 0.21 0.12 Truncilla truncata <15 0.00 0.00 0.63 10.91 2.89 0.00 0.00 0.13 0.93 0.27 Truncilla donaciformis < 10 0.00 0.00 3.92 31.43 8.84 0.00 0.00 0.26 1.41 0.42 Page F-3 Whitney et al., Unionid Sun'ey - Reach 1 5 UMR Figure F-3. Recruitment of unionid mussel species at Case-IH (RM 488.5) in Reach 15 of the Upper Mississippi River, 1985, 1987, and 1994. Length-frequency distributions (Appendix C) were used to calculate percentage (%) and density (no./m-) of individuals within the specified size range. Species Recruitment | Size (mm) Percentage (%) Densi( y (no./m^) 1 1985 1987 1994 Mean 1985 1987 1994 Mean Amblema plicata <30 3.48 5.23 3.96 4.22 0.23 2.12 0.56 0.97 Megalonaias nen'osa <30 4.55 0.00 0.00 1.52 0.66 0.00 0.00 0.22 Quadmla metanevra <30 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Quadrula pustulosa <30 21.33 14.73 17.73 17.93 6.06 8.99 3.72 6.26 Quadrula quadrula <30 5.88 4.55 14.89 8.44 0.08 0.25 0.40 0.24 Ellipsaria lineolata <30 1.08 4.59 4.03 3.23 0.07 1.51 0.56 0.71 Leptodea fragilis <30 11.58 7.12 56.76 25.15 1.20 2.38 1.17 1.58 Obliquaha reflexa <15 0.00 0.00 2.46 0.82 0.00 0.00 0.22 0.07 Truncilla tnincata <15 0.00 0.36 11.80 4.05 0.00 0.25 2.13 0.79 Truncilla donacifomiis <10 0.00 2.98 2.78 1.92 0.00 0.26 0.06 0.11 Page F-4 Whitney et al., Unionid Sur\'cv - Reach 1 5 UMR Appendix G Commercial Species Age and Growth Reach 15 of the Upper Mississippi River Appendix G Commercial Species Age and Growth Reach 15 of the Upper Mississippi River Description Page Part I. Summary tables on age and growth of unionid mussels from Reach 15 of the Upper Mississippi River. Table G-1 : Number of years to reach minimum commercial size. Table G-2 : Number of years to reach sexual maturity. Table G-3 : Formulas to calculate unionid age from shell length or height. Table G-4 : Formulas to calculate morphological shell measurements from unionid age. Table G-5 : Illiniwek (RM 492.4) - regression parameters of morphological shell measurements. Table G-6 : Sylvan Slough (RM 485.8) - regression parameters of morphological shell measurements. Table G-7 : Formulas to calculate (a) live weight and (b) dry shell weight from shell length or height. Table G-8 : Estimated abundance and weight of commercially sized /4. plicata and M. nervosa. Part II. Average observed morphological shell measurements of commercial mussel species of various ages from Reach 15 of the Upper Mississippi River, 1987 and 1994-95. Table G-9 : Amblema plicata - Threeridge Table G-10 : Megalonaias nervosa - Washboard Table G-11 : Ouadnda qiiadnda - Mapleleaf Table G-12 : Ouadnda pustidosa - Pimpleback Table G-13 : Ouadnda metanevra - Monkeyface Part III. Calculated morphological shell measurements of commercial mussel species of various ages from Reach 15 of the Upper Mississippi River, 1987 and 1994-95. Table G-14 : Amblema plicata - Threeridge Table G-15 : Megalonaias nervosa - Washboard Table G-16 : Ouadrula quadnda - Mapleleaf Table G-17 : Ouadnda pustidosa - Pimpleback Table G-18 : Ouadnda metanevra - Monkeyface Part IV. Growth curves for commercial mussel species from Reach 15 of the Upper Mississippi River, 1987 and 1994-95. Figure G-1 Figure G-2 Figure G-3 Figure G-4 Figure G-5 Amblema plicata - Threeridge Megalonaias nervosa - Washboard Ouadrula quadnda - Mapleleaf Ouadnda pustidosa - Pimpleback Ouadnda metanevra - Monkeyface Page G-1 G-2 G-3 G-3 G-4 G-5 G-6 G-7 G-8 G-9 G-10 G-11 G-12 G-13 G-14 G-15 G-16 G-17 G-18 G-19 G-20 G-21 G-22 G-23 G-24 G-25 G-26 G-27 Part I. Summary tables on age and growth of unionid mussels from Reach 15 of the Upper Mississippi River. Description Page Table G-1 : Number of years to reach minimum G-3 commercial size. Table G-2 : Number of years to reach sexual maturity. G-3 Table G-3 : Formulas to calculate unionid age from shell G-4 length or height. Table G-4 : Formulas to calculate morphological shell G-5 measurements from unionid age. Table G-5 : Illiniwek (RM 492.4) - regression parameters of G-6 morphological shell measurements. Table G-6 : Sylvan Slough (RM 485.8) - regression G-7 parameters of morphological shell measurements. Table G-7 : Formulas to calculate (a) live weight and (b) G-8 dry shell weight from shell length or height. Table G-8 : Estimated abundance and weight of G-9 commercially sized A. plicata and h4. nervosa. Page G-2 Whitney et al., Unionid Survey - Reach 15 UMR Table G-1 : Number of years for five mussel species fi-om Reach 15 of the Upper Mississippi River to reach minimum commercial size limit. Age determination based on polynomial regression formulas (Table G-3), Minimum Years to reach minimum Species commercial size* commercia 1 size (inch) (mm) 1994-95 1987 AmbJema plicata (Threeridge) 2.75 69.85 21 25 Megalonaias nervosa (Washboard) 4.00 101.60 24 25 Quadrula metanevra (Monkeyface) 2.50 63.50 — 21 Quadrula pustuJosa (Pimpleback) 2.50 63.50 19 20 Quadrula quadrula (Mapleleaf) 2.50 63.50 19 20 ' - measured from the center of the hinge side and at a right angle across the shell to the outer edge (shell height). Table G-2 : Estimated number of years for five mussel species to reach sexual maturity in Reach 15 of the Upper Mississippi River. Values based on observed decrease in distance between growth bands on individual mussels collected in 1994-95. Species n Estimated years to maturity Mean Std. Dev. Range Amblema plicata (Threeridge) 78 8.19 1.37 6-12 Megalonaias nervosa (Washboard) 29 8.17 1.10 6-10 Quadrula metanevra (Monkeyface) 12 7.17 1.19 5-.9 Quadrula pustulosa (Pimpleback) 38 7.58 1.81 6-11 Quadrula quadrula (Mapleleaf) 28 8.36 2.00 8-11 Page G-3 Whitney et al., Unionid Sur\ev - Reach 1 5 UMR Table G-3. Formulas to calculate unionid age (yrs.) from shell length or height (mm) for species collected in Reach 15 of the Upper Mississippi River in (a) 1994-95 and (b) 1987. All relationships were best described by a third order polynomial regression formula. Example: Calculate the age of a A/ega/onfl/a5 wen 0.^(7 collected in 1994-95 with a height of 88.9 mm (3.5 inch). Calculations: y = 0.0000688.\' - 0.0083326x- + 0.4076798x - 3. 1385823 y = 0.0000688(88.9)' - 0.0083326(88.0)- + 0.4076798(88.9) - 3.1385823 y = 0.0000688(702595.37) - 0.0083326(7903.2 1) + 0.4076798(88.9) - 3. 1385823 y = 48.3385615 - 65.8542876 + 36.2427342 - 3. 1385823 y= 15.59 years old (a) 1994-95 Species y X Formula l^ Amblema plicata age length V = = 0.000061 Ix^ -0.0063227x= + 0.3293202x -2.0603603 0.9820 age height y- = 0.0001352x' - 0.0103458x^ + 0. 3845092X -1.6220988 0.9861 Megalonaias uen'osa age length y = = 0.0000 150x^ -0.0017899x- + 0.1043503x- f 0.8485574 0.9817 age height y = = 0.0000688x5 -0.0083326x- + 0.4076798x -3.1385823 0.9513 Qiiadnt la p ustulosa age length y = = 0.0000801x5 - 0.0037934x2 + 0.2010223X -0.2367326 0.9832 age height y = = 0.0001789x5 -0.0118251x=+0,3874485x - 1.1206431 0.9652 Quadrula quadrula age length y = = 0.0000611x5 - 0.0063227x2 + 0.3293202X -2.0603603 0.9820 age height y = = 0.0000648x5 + 0.0017484x2 -0.1600863X- f 5.4257652 0.9448 (b) 1987 Species y X Formula H Amblema plicata age length y = -0.0000268x5 + 0.0096861x= - 0.45 1 1657x + 7.3304427 0.9448 age height y = -0.0000463x5 + 0.0153635x= - 0.6001301X + 7.8939737 0.9467 Megalonaias nen'osa age length y = = 0.0000156x5 - 0.002 1 1 94x2 -f 0.1 768499X- 2. 10644 16 0.9412 age height y- = 0.0000410x5 - 0.0037773x2 + 0.2273856x - 1 .7508804 0.9497 Qiiadnda metanevra age length y = = 0.0001713x5 - 0.0156912x2 + 0.6016140X - 5.0779275 0.9838 age height y = 0.0004565x5 -0.0414700x2+ 1.3772656X- 12.7058843 0.9834 Quadrula pustidosa age length y = = 0.0002077x5 - 0.0169617x2 + 0.6108890X - 4.5812617 0.9818 age height y = = 0.0002409x5 - 0.0201669x2 + 0.7151071X- 5.4470434 0.9741 Quadrula quadrula age length y = = 0.0001973x5 - 0.0209885x2 + 0.878790]x - 9.2126875 0.8617 age height y = ~- 0.0000628x5 + 0.0013627x2 - 0.0559941X + 2.3033227 0.8073 Ellipsaria lineolata age length y = -0.0000249x5 + 0.0089175x2 . 0.4059395X + 5.6305060 0.9126 age height y = -0.0000576x5 + 0.0142301x2 - 0.4725642X + 4.9521332 0.9092 Obliquaria reflexa age length y = = 0.0004491x5 -0.0351957x2+ 1.0376130X- 8.6958402 0.9760 age height y = = 0.0004641x5 - 0.0269657x2 + 0.6638447x - 4.1366390 0.9845 Page G-4 Whitney et al., Unionid Suney - Reach 15 UMR Table G-4. Regression equation parameters of growth curves (Figures 1-5) for unionid species collected in Reach 15 of the Upper Mississippi River in (a) 1994-95 and (b) 1987. Formulas can be used to ^ calculate morphological shell measurements (mm) from unionid age (yrs). All relationships were best described by a third order polynomial regression formula. (a) 1994-95 Species y X Formula l^ Ambkma plicata length width height age age age y = y = y = = 0.0050071x3 = 0.0039842x3 = 0.0045958x3 - 0.3666344X- + 9.8249057x - 0.4260532 - 0.2602081X- + 5.883 121 8x + 0.8669406 - 0.3 191360X- + 7.97201 17x + 0.7129795 0.9912 0.9789 0.9898 Megalonaias nervosa length width height age age age y = y = y = = 0.0177900x3 = 0.0062956x3 = 0.0120926x3 - 0.9967481x= + 19.9961039x - 9.2124276 -0.3839674x- + 8.1506566x- 5.9351060 -0.7049751X-+ 14.4179442X- 8.6804480 0.9817 0.9518 0.9752 Quadnda piistulosa length width height age age age y = y = y = = 0.0095563x3 = 0.0062383x3 = 0.0057603x3 -0.4591499x2 + 8.7732342X- 1.6112619 - 0.3273931x2 + 6.0829175X- 1.9140641 - 0.375 1007x2 + 8.2306743X - 1 .7984754 0.9930 0.9904 0.9927 Qiiadrula quadnda length width height age age age y = y = y = = 0.0051816x3 = 0.0059529x3 = 0.0076875x3 - 0.3269566x2 + 8.1284370x + 2.9573194 - 0.3206641x2 + 6.0501791X + 0.5701078 - 0.4373603x2 + 8.9145035X- 1.4862868 0.9741 0.8928 0.9570 (b) 1987 Species y X Formula r^ Amblema plicata length width height age age age y = y = y = = 0.0068550x3 = 0.0035412x3 = 0.0052136x3 -0.43 18429x2 + 9.7916577X + 3.2610581 - 0.2238239x2 + 5.0539655x + 4.2486195 - 0.3297364x2 + 7.4764151x + 4.6248189 0.9904 0.9908 0.9908 Megalonaias nerx'osa length width height age age age y = y = y- = 0.0109224x3 = 0.0038476x3 = 0.0069224x3 -0.6825639x2+ 15. 5587462x + 5.0508338 - 0.2468855x2 + 5.8132082x + 3.0244842 - 0.4460882x2 + 10.5656144x + 4.6659580 0.9830 0.9851 0.9845 Quadnda metanevra length width height age age age y- y = y- = 0.0047743x3 = 0.0023107x3 = 0.0041474x3 - 0.3053982x2 + 7.2113570X+ 10.6592964 - 0.1524142x2 + 3.8090437X + 6.9840649 - 0.2597647x2 + 5.8559550X+ 13.9737817 0.9737 0.9725 0.9705 Quadnda pustidosa length width height age age age y- y- y- = 0.0062338x3 = 0.0036749x3 = 0.0056265x3 - 0.3614091x2 + 7.6985955X + 4.3316920 - 0.2213104x2 + 4.8644087X + 3.3442995 - 0.3372531x2 + 7.4ioi475x + 4.1748952 0.9951 0.9937 0.9940 Quadnda quadnda length width height age age age y- y- y- = 0.0061609x3 = 0.0034844x3 = 0.0060794x3 - 0.4005523x2 + 8.9274096X + 5.1 135483 - 0.2238107x2 4. 4.8979279X + 3 8328803 - 0.3782481x2 + 8.0639853x + 3.1 1503 18 . 0.9762 0.9724 0.9596 Ellipsaria lineolata length width height age age age y- y- y-- = 0.0206120x3 = 0.0086633x3 = 0.0165539x3 - 0.8801632x2 + 13. 1422716X + 5.3824389 -0.3699364x2+ 5.6840818X- 0.1292106 - 0.7072558x2 + 10.61 73476x + 2.3427725 0.9735 0.9736 0.9731 Obliquaria reflexa length width height age age age y-- y- y- = 0.0157802x3 = 0.0134031x3 = 0.0089603x3 - 0.06259 11 1x2 + 8.607 1230X + 9.6129379 -0.531 7640x2 + 7.4484997X + 6.9729323 - 0.3563955x2 + 4.9559685x + 4.4767819 0.9911 0.9914 0.9926 Page G-5 Whitney et al.. Unionid Survey - Reach 15 UMR Table G-5. Regression equation parameters of morphological measurements from mussels collected at Illiniwek site (RM 492.4), 1994-95. The relationship between morphological measurements were best described by a power regression equation (y = ax^b). Equation parameters are as follows : y = dependent variable; x = independent variable; a = y intercept; b = regression coefficient (slope); r- = coefficient of determination; and n = number of individuals plotted. Example: Calculate the shell width and height ofanAmblema plicata (Three ridge) with a shell length of 92.56 mra {y = ax'^b) width = 0.8195 >: 92. 56^0.9065 = 49.67 mm - 25 4 mm/iirh = 1.96 inch height = 1.0722 x 92 56'X).9302 = 72.35 mm - 25.4 mm/inch = 2.85 inch Species y X a b r^ n Amblema plicata width length 0.8195 0.9065 0.9649 167 height length 1.0722 0.9302 0.9827 ini length width 1.4253 1.0643 0.9649 167 height width 1.3696 1.0131 0.9610 101 length height 0.9971 1.0565 0.9827 101 width height 08514 0.9486 0.9610 101 Ellipsaria lineolata width length 0.1601 1.2247 0.9016 565 height length 0.5743 1.0728 0.9798 173 length width 5.6614 0.7362 0.9016 565 height width 3.2606 0.8392 0.9415 173 length height 1.7949 0.9133 0.9798 173 width height 0 3144 1.1219 0.9415 173 Megalonaias nerwsa width length 0.3771 1.0112 0.9255 70 height length 0.5610 1.0513 0.9883 34 length width 3.4470 0.9153 0.9255 70 height width 2.1239 0.9548 0.9483 34 length height 1.8163 0.9401 0.9883 34 width height 0.5710 0.9932 0.9483 34 Obliquaria rejlexa width length 0.4006 1.0861 0.9521 170 height length 0.5897 1.0975 0.9919 46 length width 2.6366 0.8766 0.9521 170 height width 1.5263 0.9994 0.9667 46 length height 1.6575 0.9038 0.9919 46 width height 0.7300 0.9672 0.9667 46 Quadrula pustulosa width length 0.7398 0.9658 0.9685 275 height length 0.9658 1.0007 0.9899 64 length width 1.5169 1.0028 0.9685 275 height width 1.4497 1.0070 0.9787 64 length height 1.0741 0.9892 0.9899 64 width height 0.7467 0.9719 0.9787 64 Quadrula quadrula width length 0.6841 0.9495 0.9687 43 height length 0.8678 0.9932 0.9932 18 length width 1.6687 1.0202 0.9687 43 height width 1.5423 0.9968 0.9916 18 length height 1.1831 1.0000 0.9932 18 width height 0.6680 09948 0.9916 18 Truncllla truncata width length 0.4154 1.0980 0.9542 563 height length 0.6609 1.0599 0.9676 203 length width 2.4966 0,8690 0.9542 563 height width 17162 0.9267 0.9715 198 length height 1.6248 0.9130 0.9676 203 width height 0,6142 1.0483 0.9715 198 Page G-6 Whitney et al.. Unionid Sunev - Reach 15 UMR Table G-6. Regression equation parameters of morphologica] measurements from mussels collected at Sylvan Slough site (RM 485.8), 1994-95. The relationship between morphological measurements were' best described by a power regression equation (y = ax'^b). Equation parameters are as follows : y = dependent variable; x = independent variable, a = y intercept; b = regression coefficient (slope); r^ = coefficient of determination; and n = number of individuals plotted. Example: Calculate the shell width and height oCanAmblemaplicata (Three ridge) with a shell length of 92.56 mm. (>' width =1.0138 X 92.56^.8571 =49.13 mm - 25.4 mm/inch = 1.93 inch height = 1.0400 ^ 92.56'X).9328 = 71.01 mm - 25.4 mm/inch = 2.80 inch ax-^b) Species y X a b H n Amblema plicata width length 1.0138 0.8571 0.9421 111 height length 1.0400 0.9328 0.9855 55 length width 1.2507 1.0993 0.9421 111 height width 1.4189 0.9948 0.9594 55 length height 1.0178 1.0565 0.9855 55 width height 0.8228 0.9644 0.9594 55 Ellipsaria lineolata width length 0.1725 1.1977 0.8988 175 height length 0.5453 1.0892 0.9797 81 length width 5.5838 0.7505 0.8988 175 height width 3.5760 0.8149 0.9342 81 length height 1.8678 0.8994 0.9797 81 width height 0.2811 1.1463 0.9342 81 Megalonaias nervosa width length 0.4347 0.9771 0.9106 66 height length 0.7203 0.9953 0.9831 41 length width 3.3050 0.9319 0.9106 66 height width 2.6178 0.9034 0.9584 41 length height 1.4963 0.9877 0.9831 41 width height 0.4203 1.0609 0.9584 41 Obliquaria reflexa width length 0.4515 1.0558 0.9486 110 height length 0.7197 0.9953 0.9860 71 length width 2.4494 0.8985 0.9486 110 height width 1.6706 0.9639 0.9553 71 length height 1.4359 0.9497 0.9860 71 width height 0.6854 0.9911 0.9553 71 Quadrula pustulosa width length 0.6041 1.0213 0.9801 407 height length 0.8438 1.0388 0.9926 222 length width 1.7413 0.9596 0.9801 407 height width 1.5105 0.9950 0.9880 221 length height 1.2074 0.9555 0.9926 222 width height 0.6891 0.9930 0.9880 221 Quadrula quadrula width length 1.0972 0.8426 0.9420 48 height length 0.9918 0.9725 0.9818 38 length width 1.1248 1.1179 0.9420 48 height width 1.2563 1.0573 0.9795 38 length height 1.0825 1.0096 0.9818 38 width height 0.8673 0.9263 0.9795 38 Truncilla Iruncata width length 0.3922 1.1102 0.9739 234 height length 0.5451 1.1187 0.9891 109 length width 2.4700 0.8773 0.9394 234 height width 1.5716 0.9634 0.9877 109 length height 1.7696 0.8841 0.9891 109 width height 0.6492 1.0252 0.9877 109 Page G-7 Whitney et al., Unionid Suney - Reach 1 5 UMR Table G-7 : Formulas to calculate (a) live weight and (b) dry shell weight from shell length and height (mm) for commercial mussel species collected in Reach 15 of the Upper Mississippi River, 1994-95. The relationship between weight and shell size was best described by a power regression (y = ax'^b). Equation parameters are as follows: y = dependent variable; x = independent variable; a = y-intercept, b = regression coefficient (slope), r- = coefficient of determination; and n = number of individuals plotted. Example : Calculate the live weight and drv' shell weight for fwc Amblema plicata ha\-mg measured shell heights of: 75.10, 85.01, 72.52, 76.15, and 91 23 What is the present commercial value of these mussels ($0 86/lb dry shell)? Calculations: y = ax^b Live weight (g) = (O.OO 13 -75.10^2. 8266)+{0,0013- 85.01 "2. 8266)+(0.0013 ■72.52-2. 8266)*(0 0013- 76.15^2. 8266)+(0,0013- 91, 23"2, 8266) = 260.39 + 369.64 + 235.89 + 270.81 + 451.30 = 1588.03 g - 454 g'pound = 3.50 pounds Drj' shell weight (g) =(0.0O13-75.10-2.7444)+C0.0O13-85.0r2.7444)+(0.OO13-72.52-2 7444)*(0.OO13-76.15-2.7444)+(0,0O13-91.23'2 7444) = 182.58 + 256.56+ 165.88+ 189.67 + 311.42 = 1106.10 g + 454 g'pound = 2.44 pounds @ S0.86/pound =$2.10 (a) Live weight (g) Species y X a b r^ n Amblema plicata Live wgt length 0.0015 2.6419 0.9814 167 Live wgt height 0.0013 2.8266 0.9853 167 Megalonaias nervosa Live wgt length 0.0002 3.0167 0.9776 98 Live wgt height 0.0007 2.9424 0.9704 98 Quadnila metanevra Live wgt length 0.0005 2.9200 0.9765 32 Live wgt height 0.0001 3.4266 0.9543 32 Quadrula pustulosa Live wgt length 0.0011 2.7847 0.9333 210 Li\e wgt height 0.0015 2.7103 0.9441 210 Quadrula quadrula Live wgt length 0.0012 2.7035 0.9508 57 Live wgt height 0.0010 2.8381 09897 57 [b) Dry shell weight (g) Species y X a b r^ n Amblema plicata Dr>' shell wgt length 0.0015 2.5620 0.9733 172 Dry shell wgt height 0.0013 2.7444 0.9779 172 Megalonaias nervosa Dr\' shell wgt length 0.0002 2.9057 0.9643 100 Dr\' shell wgt height 0.0007 2.8437 0.9626 100 Quadrula metanevra Dn,- shell wgt length 0.0005 2.8487 0.9574 32 E>r\- shell wgt height 0.0001 3.3415 0.9348 32 Quadrula pustulosa Dn shell wgt length 0.0014 2.6490 0.9551 204 Dn- shell wgt height 0.0016 2.6358 0.9619 204 Quadrula quadrula Dr\- shell wgt length 0.0011 2.6574 0.9464 57 Drv' shell wgt height 0.0009 27893 0.9849 57 Page G-8 Whitney et al., Unionid Sur\ey - Reach 15 UMR 0^ "O '55 Is 1 1 C/5 S^ « 6X S C/5 M^ S.£f I /-i NO r^ rf r- NO tN m ^ r- r~ r-- 00 ON r^ ON ON — 00 ON U-l (N fN (N TT 00 00 >y^ rj- u--> r^ 1 j 1 00 1 ! ! oo CO 1 ON ON 1 fS 93 5 ' o — ^^ ' ^ ~" rS (N (N (N (N (N fN (N (^ m ro m rn rn m ^ r-i ' ' ' m m r-i r-i ^ 1 r- (N (N >/^ ro /-, NO NO Ti- T3- un ly, 1/-I wn NO 3 NO r-i NO r«-i NO NO NO ON ON ON NO NO NO (N' ' ? ■ ' ' {C^ ' r-' oo' ' ro ^ i "? ^ 1 (N ro O On rr r^ r- 00 NO 00 >y-i /n ON O 5 oo' ' ' ' S o ' O r-) ' NO &: £ M iic^ m NO ro m NO — O U-l Tt fN NO NO (N O r- NO r^ — NO rr ON r- o TT in m (N — — (N 00 r^ O r- 1 '^ ! 1 1 00 in 1 r- NO 1 — On 1 — NO r- r^ r-) Tf i;;§2S^R t^ r~- 00 ro f^ (N 00 00 00 ON 00 — oo 00 ON S ' r- ' ' ' On S CO ' On on O O ' o o o in Tt c O (^ OO ■^ 00 On — r- CO t^ (N 00 U^ rt NO ro r- (N ro (N ' — • — c — O O O m — O — — o — Ji? — »S (^ ■* VI vo r- 00 ^ o — »s f^ ■* W^ NO r- 00 ON O — fM r^ •^ l/V NO r- fs »s fs «s r^ fs sas — fs fo ^ 5 < ± 61 Om '5 P — .c 1 \ociOONr-~^t~->om 1 1 -^ 1 m 00 (N — 1 Tj- CS OO 00 tN 1 .^ . , , , .2* 1 0> /^ -^ /O 1 I ■=> ] -^ r-i >/^ >0 1 I/O -^ NO On r- I ' ^ i IN •s ' o ^' — — ' — (N >/^Of^r~^ 1 1 00 1 ON OO a\ On ] NO ON r-> On NO 1 .NO 1 1 1 1 4J ^ j ir^r-ooo— •^mM- 1 1 "^ On 00 O — O 1 1 ^- ] III ■5 ■^ ' d d d — ' — ' — ■ — ■ — ' ' — — — r-i ri (N ' ' (S ' ' ' ' ^ , ^O — '/-1'/^t~-Tj-Ovm 1 1 CN 1 r- O On OJ 1 t~- On LTi t^ t^ 1 .NO ... . 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X < t3 (^(N\oroMDOor~-ON^>oor-i/-i— — cpoor~-MD i^ocn^o icnvooo O O -^ —' — — — — — — CN Jomi/->v-)ir)iri>OiA moor-^-NOm — oor~-ooTtONoo-^c~-4cNOt~^>/^ crNr~-cNmcNmooONONO>/~iONm— OvtnONm — m rj-' ir)\r) On NO 00 00 O O CNCNCNCNmf^ror-immrorot^mmTr'^ On — NOmND'^CN — O Ttmrnr^iOTf^or-NOr^ONr^ooNOooONiot--— i/^ ON ^ CN >/-i i/^ CN CN ro O ri 00 -^ in ■^ r~- •^ O ^ — ; r<-i (N On •— iri r^ O NO m no On O r^ CN 00 Tf' r~- 00 O O — CNCN'^TtTrTj-i/^inurii/^NONONONDNONDNOr^t-^ r- Tj- NO •^ On r-i 1 ^^^ CN r^ CN NO NO NO 1 -rr lAi i/^ NO NO NO t~- NO 00 r^ NO CN , CO — — 1 r~- r- — CN r-> c^) '^ -^ '^ 1 r-> Tj-' LT, -^ -^ ■^ — lA) NO 00 ON NO , m r- r-i 1 — NO r-i r-i uo f<-i r- r- r- 1 NO r- 00 r- r- r- « o 3 — — 'Tj-iy-ir^r<-icN>A)t-nr~ -HfNf^-^iriNOt^SCONO CN •^ (^ CN Part III. Calculated morphological shell measurements of commercial mussel species of various ages from Reach 15 of the Upper Mississippi River. Description Page Table G-14 : Amblema plicata - Threeridge Table G-15 Table G-16 Table G-17 Table G-18 Megalonaias nervosa - Washboard Quadnda quadnda - Mapleleaf Qiiadrula pustulosa - Pimpleback Quadnda metanevra - Monkeyface G-17 G-18 G-19 G-20 G-21 Page G-16 Whitney et al., Unionid Survey - Reach 15 UMR o o o ^ ^ ^ --' ^ --' rs H H H r^i (N H H H r^' r4 H M r^i ^^^ r^ rs /^^r-oooNOOO' O O — ■ —:—'—■ (Ni (N or^i . — ^r<-i(N0O — — ON'^t^ON00^rO00mr~~ — • — '*' r-' C^ (N '*' iri' r~-' oo CK O — ' (N H r^' r^' Tf • r^r-mvDOOi/-)Ost^Oi/-)-*(Nm — — u^C v,£)— 'ONONfNONON'^'^oooo-^vOiri— -^^ fN ^ 00 in H r^ (NJ r~- — tt r~- o (N -^ ^ r~ oo on o — — rj r^ ^cN(Nr^'^'^mwr)vo^vDr^r-r^r^r~-t^r^oooooooooo Tt r-i ^ fN — :5 O o-i (N TJ- O O '^. ^. ^ - , ^ , - . . V , so o< j:^' ^' cocoooooooCnOnOnOnOO m ^ r~- ON MPO'^»r)vor-oooNO 1 r-i — ^ f^ VO 00 O O O ^D \0 Tt (N Tt vO o o o §.--. r- r<-) r-- ^. °°. '^. ON o o O r^ m (N (N (N 00 1/-1 — TT <^ NO oo VO fN fO -^ m, oi r4 ^ ON (N li^ 00 -- r-i W-, r-~ CO o -- rsi f^ r^ -^ i/-^. >^. ^. ^. f^. f-~. t^. <», °°. t^^ <^. P ^. <^* r^ i/~) r-- oo rnTrm>Ai\or~r~oocioONO\CN tN(N(No 00 o r) ^ w-> \o r- oo On o o -- -- r-i <^ r^ TT "^ MD r~. CO o (N (N m ro m ■q- Tj- TT rr ONr--f^r^--o^ONr-Tr(NooTt>^Ttr-r-0;NOrsr^--riON-ooog:^P^g C~- O i/^ CN CN >/^ ■-■ -- NO^ -- -- 00 -- -- 00 r^ ^ 00 On On ON ON On •— -^ ON r-. (^. '-J. tt -^^ /^>^^^r^l~^f~~«500'>=°0'>'ONONO\ONOvONONONON0222 ONaN>^r-o«/^Tro«j^(NJ^ ^' K 00 On' d o _- -- r-i H (^ TT 'J i^ NO J-- ON -r.f^^.A^«r^occ^o--JS23:f2i2i:22SMp3;^^;^J5Pi?5?i^ •s X oo\cscsNor---^r~r--TrooooNr-rnONrnNOON(Nir)cocNco^tS(N^ONNO CN NO -"-J in 00 -- 4 NO 00 O -- r^ rn_ '^ w^. "/-^ MD^. ^, ^^ =«. =«. On "O — (N r") w, O o — ' ^ — ' (N CN (N C~) r'i rW rW rW r^' r^ rn (^ r^ r<-i rW ri' r^' ro r^ r-i -^ •j^t~-ON— rir-iwir-ON— -i/^onttooo Or^NOOOOCNrnTrNOr-OOOOONONOOOO— — ——' — — CNC^i*^)!^"^. '^. d d d d — — '- — —— — —' — — <^J (N (N ri cn (N oi ri (N ri rsi n r) cn ri r-j c ONNONOoeoor^cou-^ONOo^oooNco^fNicor^ON'Aifs-— •— ;^ONr-Ov>A)i^ r^ o NO (N NO ■=- 'd- r- o c^j '^r NO t-- 00 On o -- -- rj (N r^^ in ^. r- 00 o A,ir.«joi/^ir,ini/-.NONONOvO J 'S X ^r^NooNONom'^ovON — =«=«2?^<='!^r£2=^':;'^:£2::i£S^2g o ^ in '^ <^ o 00 t^ r- o r- r- — — r^ o — - On r~- ■* — o ^ '^ "" ~: "^^ f^^ ~, °°. tr{ r~-' oo' 00 r-' m' -- r- ^ "^^fvjr^TfLnvONor-t^oooooooooooNONONONONONONONONOoSSz:;!! E 1 c ^f^r-ir^ — — ^<^)— t--TrNONOONoor~~ONONONOor~-— m, (Nr^-^in^^o SSSf^ONOm^ONONTrS^ON ONir>oinoor-ii/-iO«^. cso-^. oo 4 c^ C8 -nn^.^^.-oc^o--rj22^:£!::22:s;:P3;:i^;c]j5P^S?^S 00 >, ^ 'S r^ O lo rr r^ a\ t^ r- TT — ro w-i O m m t^ 00 On >/^ m o O — NO r~- ■<3- -^ ■^ ON CN m Tj- «n in IT) NO r~ o o o Tj- O in m w-> \o d d d ts ts cs Tl- On (^ f^ m TJ- (N (N (N r- o (N Tj- iri ly-i CN (N (S ■^ NO r- I/-) m in CN (N in CN CN CN ON ON O m in NO CN CN CN — CN m VO NO NO CN CN CN NO NO r-~_ 1 .E ^.^,o ri T3- r- o 00 NO CN — rr 00 O r-i NO ro ON r-~ CN (^ NO 00 — r~- 'Z X 2!::?; ON -^ On r) NO r^ tn m r- 00 00 m r<^ r-i On On On r-i r^ n o o o -^ -^ -^ o o o ■^ -^ -^ o — — "^ rr ^ CN CN Cl •^ -^ TT ^ M iri r4 vo ^O 'S- ■^ s;^?; On in ^ o o m On in — ■ '^ O CN — On ON O ^ NO m ON NO NO r-i CJN On (-1 O r^ r-- o 1/-1 — CN CN >n 00 CN -^ (N CN r- -"^ 0\ O 00 CN Tf r~ 00 C ,1 f^ — 00 -- CS (N ?;?^ o -"i- t-- m 1/-1 ly-i O r^ in NO NO NO r~- 00 On NO NO NO O ^ — r-~ r- r~- CN CN r^ r- r~- r- m r-i m r- r~- r- rj- Tt 1/-1 r- r- r~- NO r- OO r- r- r-- &) ^ ? >> — «S f^ •^ tr) \o r- 90 o^ O — M f^ •^ u^ so r- «e ON O — CN fO -^ CN «S CN w^ NO r- CN CN CN 00 ©N o »S CN en Ml £ CNCNCNCNCNCNCNCNCNCNCNCNfNCNCNCNCNCNCNmr^ o o o o o (N CN m r^ -^ m CN CN CN CN CN CN CN CN CN CN CN r^ m m m ro ro rn f^ ro rW rn O'^r^t^ — CNCNr-CN— OOONOOONr-r^r^Or^NOTf oNOinNO^-ON— r--ONNOoor~-mNor^NOTr— r-"-^ t^' tT .— r--- rn r~- CN in 00 ^- rn in r-~ OO ON d ^ CN CN r^ Tj- tT in NO 00 On •— rn NO ON — cNCNr«-iro'^TtTru-)>/-)iomiAimNONONONONONONONONONONor^r-r-~r~- t~- m o 00 r- 00 TTm NO 00 On— m NO On ■ lAi 00 On O ON ' r~- NO On r-~ 00 — TtOCNm— inoONNO>/^oo— NONOr~-ooONm'^NOCNNOcNr^roinro^- ri^ ■^ O O in NO CN in rn On (N CN ^- r~- CN NO O rn in ON rn 00 in r-i -^ r-- rn CN in CN vo '-' ^ d m NO On— m' rf' NO r- 00 00 os os d d d d ^ — cn m -rr m' r- o\ — ■ ■^ --— CNCNCNCNmmmr^r'-ir-ir-ir^f^-rr-rrTr'^'^-^Tr'^'^-^-^-^inin m— Om — o-^oomNOt'-ONin >n On CN rr r- o r^ r- m O On o ■^ O r~ Tf O NO 1— I m On r^ no On CN ^t NO 00 d CN rW ■^ NO t-~- 00 d ^ CN •* NO r- d CN — -^cNmmTfTj-TtmmmNONONONor-r-t^r^r-t~~r-oooooooocooooNON r) fN r-i (N r^ r-) (N r-i r-' cK — ro ■^ ^o r-^ co t~~- 0\ ^ 00 rf c^' •^' od (N >/S 00 — ' ro iri r~- 00 On O — H oj m -^ >r-> ^ r^ OO cK •— (^ >/"i 00 OX) 2 0-1 (N(NMCNCN/~i>OooON— rJ-^t^O-^ONi/^i^ncNcN-^ — mi/~iVOOOONO — OOmr<-i■Tr■^'d"•^■^■^>^l^'"|'^l'^^'v0^t^OOO^O^- 0 O O O O O — ' — ' — — — — ' — ' — ' — — — '' ————— — — — ■ — ■ — .' — -■ — (N (N O On O n On On m ON r-J CN (N M M r-) M Ol O O 04 (N (N m r-1 r^ m ro rn \r^— r~-ONOrO— OnOn^C) — ^(NO^r4tN00\0r-\O^— -^r-vOr-itN^O ofNNOTrr--r^'rroNOt~~ooNTrr~-r^TrO'^\oooONO— r-imoor^ooNO vri m Ov in O w-i On (N MO 00 — ^ t^ ssss ^ '^ r^ r- m >0 iv-i tt r- NO 00 r- in ^ r^ CN t~~ m ro m CN O 00 CN -^ rr f^ — ; — cTs r-- 00 ^ — 00 NO '^ 00 NO >n NO m -^ in r- — r- NO r-~ r- NO 00 1 X ^ r-' rW 00 f^' t-~^ ^ — (N (N r-) P-1 -^ ■^ -^ O CN rf m' r-' oo' ON o '-' m m m m NO NO — CN CI m TT m NO NO NO NO NO NO NO K On NO NO NO d CN '^' r- r- t-- (^ r^ ^ O On \0 (js (N O lAi iy-> r^ ^ 00 00 00 ON 00 m r~- o m ON c^4 un n ON 00 r~- CN r^ 00 tT NO O 00 o 00 NO — r-i CN r~- ON ro E E r- o t-- cN 00 NO in On no On NO On (N O 00 (N rl rW ■^' NO m r^ (^ — ON r- O m -^ r~-' 00 oo' ON o o m m m r-i T3- TT 00 >0 r-i — uo NO CN 00 (N Tf TT m ■^ -^ TT r- C^l ro ^ ON NO CN CN ri ^ -^ -^ r-i >n CN r^ O 00 r- (N o NO NO r- NO r-' a\ rt ^ ^ in On m ON m O c r~~ m On '^ On m -^ CN cs (^ m -^ r~' — rr rr lAi in r- on' — ' m m NO rn -^ no' t^' oo' On NO NO NO NO NO NO d d — r-~ r- r~- CN m r*^ r^ t^ r- Tj-' in NO r- r- r- t— ' ON — ' r- r- 00 < — «S f<^ ■^ 1/^ NO r- 00 On O — CN '^ 2 ''^ S ^ 2 2S?; «s n -t CN CN CS 1/2 NO r^ CN CN CN 00 On O CN CN CO a" '2 On :3 u S Part IV. Growth curves for commercial mussel species from Reach 15 of the Upper Mississippi River, 1987 and 1994-95. Description Page Figure G-1 Figure G-2 Figure G-3 Figure G-4 Figure G-5 Amblema plicata - Threeridge Megalonaias nervosa - Washboard Quadnda quadnda - Mapleleaf Quadnda piistulosa - Pimpleback Quadrula metanevra - Monkeyface G-23 G-24 G-25 G-26 G-27 Page G-22 Whitney et al., Unionid Sunev - Reach 15 UMR Figure G-1. Growth curves based on the average observed size at age (Table G-5) of Amblema plicata collected from Reach 15 of the Upper Mississippi River in (a) 1994-95 and (b) 1987. All growth curves were best described by a polynomial regression formula (Table GA).^ Coefficient of determination (r=) values for each growth curve are listed. Minimum commercial shell height (Dlinois) and average age at sexual maturity (Table G-2) are also shown. I ' ' ' I ' ' ' I ' ' ' I 8 12 16 20 24 Estimated age (yrs.) 110 Length (r^ = 0.9904); ••5- Height (r^ = 0.9908); \ Width (r^ = 0.9908) T 12 16 20 24 Estimated age (yrs.) Page G-23 Whitney et al., Unionid Survey - Reach 15 UMR Figure G-2. Growth curves based on the average observed size at age (Table G-6) ofMegalotiaias nen'osa collected from Reach 15 of the Upper Mississippi River in (a) 1994-95 and (b) 1987. All growth curves were best described by a polynomial regression formula (Table G^). Coefficient of determination (r-) values for each growth curve are listed. Minimum commercial*" shell height (Illinois) and average age at sexual maturity (Table G-2) are also shown. -J-Length (e = 0.9817); "q Height (r^ = 0.9752); V Width (1^ = 0.9518) loU " ^^ (a) 1994-95 140 - -^^-f"^''^^ - 120- 100- ^^•-r^""*^^ Minimum size limit ^^^' --0 •/ ^^^.^.. ■ 80 - ■ yn A ^' 60 - 40- in - _ ---' - 7 p -^ ■.■^■ Avg. age at maturity _ 20 - 0- • — ^ , , r-^ r—r— / — ' 1 r-j— r-T— r ■, r , , , , , i 1 , < , 1 , < , 1 , < 5 = 8 12 16 20 24 28 32 36 Estimated age (yrs.) 160 140 120 100 80 60 40 20 0 "5"Lengtli (r^ = 0.9830); "q Height (r' = 0.9845); \ Width (r' = 0.9851) : (b)1987 ■ ^^^,,...,— -""^ .^ ; Minimum size limit ^^'''""^ \^ .o..^^ •^O^*"^' .•V /^n ' / ,^^ - -'V - • .. ■ A^.-'* Avg. age at maturity _ " '' >' 1 s r— p-T 1 ^ / "" ' ' 1 ' ' ' 1 ' ' ' 1 ' ' ^' "I 6 (/) »■ fp 5 3 rft &s 4 ■^ « 3 3 3 (■^ W3 2 ^ 3 rj 3- 1 12 16 20 24 Estimated age (yrs.) Page G-24 Whitney et al., Unionid Sunev - Reach 15 UMR 28 32 36 Figure G-3. Growth curves based on the average observed size at age (Table G-7) o^Quadrula quadrula collected from Reach 15 of the Upper Mississippi River in (a) 1994-95 and (b) 1987. All growth curves were best described by a polynomial regression formula (Table G^). Coefficient of determination (r-) values for each growth curve are listed. Minimum commercial ' shell height (Illinois) and average age at sexual maturity (Table G-2) are also shown. 8 12 16 20 24 28 32 36 Estimated age (yrs.) Length (r^ = 0.9762); -o* Height (r^ = 0.9596); V Width (r^ = 0.9724) 8 12 16 20 24 28 32 36 Estimated age (yrs.) Page G-25 Whitney et al., Unionid Suney - Reach 15 UMR Figure G-4. Growth curves based on the average observed size at age (Table G-8) o^ Qiiadnila pustulosa collected from Reach 15 of the Upper Mississippi River in (a) 1994-95 and (b) 1987. All growth curves were best described by a polynomial regression formula (Table G-4). Coefficient of determination (r^) values for each growth curve are listed. Minimum commercial ' shell height (Illinois) and average age at sexual maturity (Table G-2) are also shown. 110 100 90 80 70 60 50 40 30 20 10 0 -J-Length (1^ = 0.9930); -q' Height (r^ = 0.9927); \ Width (i^= 0.9904) (a) 1994-95 ■ Minimum size limit - 3^ ^ «r^r^ -^-«t5W*^*^' '&' . , r*^ %^ yC ::...■'■---'- ■• - • - - Avg. age at maturity '''!'''!''' ''!''' r r ' T yT T T J T T T 8 12 16 20 24 28 32 36 Estimated age (yrs.) Length (r^ = 0.9951); •5' Height (r^ = 0.9940); V Width (r^ = 0.9937) 8 12 16 20 24 28 32 36 Estimated age (yrs.) Page G-26 Whitney et al.. Unionid Sunev - Reach 15 UMR Figure G-5. Growth curves based on the average observed size at age (Table G-9) of Quadrula metanevra collected from Reach 15 of the Upper Mississippi River in 1987. All growth curves were best described by a polynomial regression formula (Table G^). Coefficient of determination (r^) values for each growth curve are listed. Minimum commercial shell height (Dlinois) and average age at sexual maturity (Table G-2) are also shown. 3 C/5 Length (r^ = 0.9737); "q Height (r^ = 0.9705); V Width (r^ = 0.9725) T 8 12 16 20 24 Estimated age (yrs.) Page G-27 Whitney et al., Unionid Survey - Reach 15 UMR Appendix H Zebra Mussels {Dreissena polymorphd) Reach 15 of the Upper Mississippi River Appendix H Zebra Mussels (Dreissena polymorpha) Reach 15 of the Upper Mississippi Ri>er Description Page Table H-1 : Summary of quantitative sampling for zebra mussels at three sites in Reach 15 of the Upper Mississippi River, 1994-95. H-2 Figure H-1 : Length frequency histograms of zebra mussels collected at H-3 Illinivvek study site (RM 492.4), 1994-95. Table H-2 : Population size structure of zebra mussels collected at H-4 Illiniwek study site (RM 492.4), 1994-95. Figure H-2 : Zebra mussel infestation of native unionids at two sites in H-5 Reach 15 of the Upper Mississippi River, 1994-95. Table H-3 : Zebra mussel infestation of native mussel species at Sylvan Slough study site (RM 485.8), 1994-95. H-6 Table H-4 : Zebra mussel infestation of native mussel species at llhniwek study site (RM 492.4), 1994-95. H-7 Page H-1 Whitnev et al , Unionid Sun'ev - Reach 1 5 UMR Table H-1. Summary of quantitative sampling for zebra mussels at three sites in Reach 15 of the Upper Mississippi River, 1994-95. Quantitativ e Samples Zebra mussel density (#/m^) Site / Date No. Size (m^) Mean Std.Dev. Range Sylvan Slough (RM 485.8) 22 July 1994 72 0.25 0.6 1.4 0-4 12 July 1995 12 0.625 426.0 263.3 56 - 992 Case-IH (RM 488.5) 20 July 1994 50 0.25 1.2 2.9 0-12 15 August 1994 22 0.25 34.2 33.8 0-128 Illiniwek (RM 492.4) 22 July 1994 40 0.25 1.7 2.7 0-8 17 August 1994 22 0.25 36.7 24.5 0-88 11 July 1995 12 0.625 2518.7 730.5 1344-3728 Page H-2 Whitnev et al., Unionid Survey - Reach 1 5 UMR Figure H-1. Length frequency histograms of zebra mussels collected at Dliniwek site (RM 492.4) in Reach 15 of the Upper Mississippi River from July 1994 through September 1995. Data used to generate these histograms is presented in Table H-2. Length Interval (mm) 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 35 30 25- 20- 15 10 5 0 30 i 25 20 15 10 5- 0 30-t 25 20- 15- 10 5 0 30 25 20 15 10 5 0 30 25 20 15 10 5- 0 22 July 1994 17 August 1994 rff^ RS^^^»- 01 December 1994 11 Julxl995 26 September 199^^ __.^^Hi|Wn»iqi|Hi 9 11 13 15 17 19 21 23 25 27 29 31 33 35 Length Interval (mm) Page H-3 Whitney et al., Unionid Survey - Reach 15 UMR 1 o o o rr oo o m m-o ooovs— Tj-r^oor-JO r^r-)0\oou-iaNavONC>avOOOooo 1 o o o r- oo i/^ o >n v-| ciir, o^^O^«/-^mooo u-lSOv^OO— (Nnr--r^r-r'ir-Tr — — t^r^t^r<-)OOOC; o o o o o o o o o O r-i •^' '*■' O O rW oo Tf r^' o o o o o — — — ' o o o o o o o o "Sd c t^ IT) 1 1 !« ^ o oo 00 "/^ 00 ce r- r-- lo oc«r-iinr^oooot--CNO ^_-^-O^^C^00OOOOOOOOOO i "Z o >/-i >/-^ r~- u-i 1/-, — _ r^ >/-, r- 1^ CN w^ i/^i — — p-i ^--r', r^J-^O-^^OOOOOOOOOC ? 1 o o o — ■ o o — ' — 1 — ' O — — (^' o o — ' oo' cs' — — so' «y-; so' ^' O O O O O O O O O O C s B N O i' o o o o o o ov c^ 00 r^l"*oo(Nr<^^oooo^O ooooooooooooooooc § E oo o o o o o rr'3- Ttr^r^oOfs--/-i OOOU-iOOu-, OOOOOn-noOOC o o o o o o o — rsi oo' o — ' r-' r-' •o (N — o o o o o o o o o o o o o o o o o o « f o o o o o o O — OOroOOOOOOvooCOOOOOOOOOOOOOOOOOOOOO o o <- ooooooo^ocwnoooooor^-oooococoocoooooocoooooo »N o o o o o o o o' >/S roOOOOOO— ;«-) Oiriiy^Ov-iOOOOO^r-iOOOOCO r^ (N rsi — ■ — ' J= 1 s "i ll — »S <^ ■>* W", vo r~-ooo\0 — (Ni^-^u^sor-ec 0^0— rAi^-^iTiSOr-ooosO— «MfO-^ir, ? It ON r. w, a; ON 1 ooou-isor^— oovy-,— u-,oounO'*t--o^'* — Tfoo — r^r-j'^r-i-^oooooo © 00 o — "*i/-isoaNOC^ — (--)(--) 1/-, sor^r-j — c ._ ^ 1 OOOOOOO — OOsOtNOOsDsOsOrf— r-(vj— (N — (N — (N— OOOO OX) — ■ r^ nTt«/^m— OOO — OO— 'Ooooo— — OOO s N — r^-^ m m — O i d 1 (H ooooooo>/-i— ^oooooor^— o — — o — ooooo — oooooo I^ r-^ !« 5 «^ e* ^? — »Hf^-*i/^soi^wo\0 — fSfOTtinsor-oooso— «sr<^Tru-jsor-oooNO— r^rotiA, S ii E — .— —— — —— — — — r^r^r^r^r4r^r^«Mr^Mroror ^^ Figure H-2. Zebra mussel infestation of native unionids at two sites in Reach 15 of the Upper Mississippi River from July 1994 through September 1995. (a) % Infestation refers to the number of unionids with one or more attached zebra mussels, (b) Degree of Infestation refers to the number of attached zebra mussels on each unionid. July •94 \ug. Dec. July '94 -94 '95 Sampling Date %'^' Page H-5 Whitney et al., Unionid Survey - Reach 1 5 UMR »/1 On 1 O o CTs fN 0 fS ON ro 0 0 0 0 m 0 r^4 rsi 0 0 0 ^—^ _-o «J c o .2 "c Q. ei) o tN o r~- 0 0 0 0 0 0 f^ 0 0 0 ^ 0 0 rsi r- 0 •iO r- 0 o\ > o m o r-j 0 0 0 >/", p 0 0 0 0 r^ NO^ 0 0 p 0 0 "* VO 0 2 0 - ^ 0 OC ~ - - NO 0 »n M 3 _>. ok > ^ (N o m 0 0 0 ^ 0 ^ ^ 0 ^ Q 0 u-i (^ ON Tf ^ _ 0 0 22 o « 3 o \o o r- 0 0 0 lO 0 r- ^. 0 m 0 0 r- P P 0 ON 0 0 aj o ^^i o 0 0 0 0 0 0 (N — i 0 rr' 0 — ■' — r^ 0 r^ — ' 0 0 0 ^ l! -^ M S ? 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