SPECIES ABUNDANCE RELATIONSHIPS OF AQUATIC INSECTS IN MONOTYPIC WATERHYACINTH COMMUNITIES IN FLORIDA, WITH SPECIAL EMPHASIS ON FACTORS AFFECTING DIVERSITY By JOSEi'H KESTUTIS BALCIUNAS A DISSERTATION PRESENTED TO THE GRADUATE COUNCIL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY UNIVERSITY OF FLORIDA 1977 ' Dedicated t;o my father. Jurgis , whose support made this possible. ACKNOWLEDGMENTS This study would not have been possible without the contributions from many authorities. I would like to acknowledge the following for verifying my identifications of aquatic insect groups for which they are the acknowl- edged authorities: Dr. Lewis Berner , Dr. Oliver Flint, Dr. Dale Habeck, Dr. John Hellman, Dr. Jon Herring, Dr. A. S. Menke, Dr. Paul J. Spangler, Dr. Minter J. VJestfall, and Dr. Frank Young. My special thanks to Mr. William Beck for identifying all tliousand-odd chironomid larvae. I would like to give special thanks to Drs . Minter J. Westfall and Archie Carr , during whose courses this project was conceived, and to my major professor, Dr. Habeck, whose support and perseverance allowed completion of the study. I would like to thank Dr. Ramon Littell and Mr. Walter Offen of the University of Florida Department of Statistics for t:heir help with statistical analyses of my data. I would also like to thank my former roommate, Mr. Roger Jones, pres- ently at tlie Dartmoutli Department of Phvsics, for his guid- ance concerning the mathematical portions of this study. I also acknowledge Florida Collection of Arthropods and the Northeast Regional Data Center (NI'IRDC) for use of their facilities and Florida Department of Natural Resources for their partial support of this study. T also wish to acknowledge a special debt of gratitude to Linda M. Barber for her editing and typing of the manu- script and for her general support during the analyses and documentation stages of this project. TABLE OF CONTENTS Page ACKNOI'JLEDGMENTS iii LIST OF TABLES vii LIST OF FIGURES viii ABSTRACT ix INTRODUCTION I LITERATURE REVIEW 3 Eichhornia crassipes (Martius) Solms-Laubach .... 3 Description 3 Taxonomy 3 Distribution--Florida 5 Productivity and Reproduction 7 Environmental Requirements 8 Water Quality 10 Economic Importance 12 Habitat for Aquatic Insects 15 METHODS 19 Samj-ile Site Selection 19 Collection Methods 21 Water Quality 21 Identification 24 Analyses 28 RESULTS AND DISCUSSION 41 General 41 Comments on Species List 41 Physical and Chemical Variable Interrelationships 119 Regression Analyses 120 TABLE OF CONTENTS (Continued) Page RESULTS AND DISCUSSION (Continued) Comparison of Study Sites 120 Description 120 Species List Comparisons 123 Estimation of Total Number of Species 128 Factors Affecting the Number of Species and Genera 140 Diversity Studies 141 General 141 Dependence on Sample Size 142 Relations to Plant Part Size, Depth^ and Time of Year ' 144 Relationships to Water Quality Parameters . . . 146 Conclusions--Choice of Indices 147 SUMIIARY 150 REFERENCES CITED 152 APPENDIX A 164 Fortran program for Shannon's and Simpson's diversity indices (and Brillouin's, when possible) APPENDIX B 165 Fortran program for rarefaction diversity index BIOGRAPHICAL SKETCH 166 LIST OF TABLES Page Table 1. List of collection sites 20 Table 2. Annotated list of insects 42 E]phemeroptera 42 Odonata 45 Hemiptera 55 Trichoptera 67 riegaloptera 68 Coleoptera 69 Lepidoptera 101 Diptera 102 Table 3. Ten most abundant insects 117 Table 4. Ten most frequent insects 117 Table 5. \'Jater quality correlation 121 Table 6. Ten most abundant insects, Camps Canal 124 Table 7. Ten most frequent insects, Camps Canal 124 Table 8. Ten most abundant insects, Lake Alice 125 Table 9. Ten most frequent insects, Lake Alice 125 Table 10. Ten most abundant insects, 1-75 ditch 127 Table 11. Ten most frequent insects, 1-75 ditch 127 Table 12. Mean values for diversity indices 143 Table 13. Order of entry of variables into diversity models 148 LIST OF FIGURES Figure 1. Generalized species accuinulation curve . Figure 2. Preston's species abundance curve . . . Figure 3. Species accumulation curve, Camps Canal Figure 4. Species accumulation curve, Lake Alice . Figure 5. Species accumulation curve, 1-75 ditch . Figure 6. Species abundance curve, Camps Canal . . Figure 7. Species abundance curve. Lake Alice . . Figure 8. Species abundance curve, 1-75 ditch . . Page 34 34 130 131 132 136 136 137 VI 11 Abstract of Dissertation Presented to the Graduate Council of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy SPECIES ABUNDANCE RELATIONSHIPS OF AQUATIC INSECTS IN MONOTYPIC WATERHYACINTH COMMUNITIES IN FLORIDA, WITH SPECIAL EMPHASIS ON FACTORS AFFECTING DIVERSITY By Joseph Kestutis Balciunas December 1977 Chairman: Dale H. Habeck Major Department: Entomology and Nematology Collections of aquatic insects beneath monotypic water- hyacinth communities, initially standardized by collecting effort, later based on a standard sampling area, were made at 37 different sites in 18 Florida counties. Identifications, verified by authorities for respective groups of the 5485 specimens collected, indicated 147 species of aquatic insects were present. Comparison of this species list with those from 2 other studies more limited in scope indicated several mis- identif ications by previous worlcers and a much greater range of aquatic entomofauna. Although the loi'j level or absence of dissolved oxygen (DO) has been frequently reported, DO-breathing forms were abundant and frequent in my collections. The importance of the relative abundances of each species at the collection sites was demonstrated by discriminant analysis v/hich showed that the 3 repetitively sampled sites were significantly different liased on the abundances of only the 10 most frequently collected insects. Species abundances were also used in 2 methods of estimating the total number of species present at each of the 3 study sites. Statistical fit- ting of an exponential species accumulation curve revealed that approximately all species present at each site had been collected. The fitting of a lognormal distribution curve to the plot of the species abundance data indicated that approxi- mately 70% of the total species present at each site had been collected . Reducing the species abundance distribution for each collection to a single statistic often helps in elucidating the effects of plant morphometric , water quality and other parameters. Diversity indices, especially those which combine species richness and species evenness, are the most common method of reducing the species distribution data to one statistic, and 3 different diversity indices v/ere calculated for all my collections. All 3 indices indicated an increase in diver- sity with decreasing values of alkalinitv or some parameters strongly correlated with it. Higher levels of iron in the water increased the diversity at least for the Camps Canal study site. However, none of the diversity indices were able to distinguish betv/een the 3 study sites, indicating a loss of information due to the reduction to a single statis- tic. The use of diversity indices would thus appear to have more limitations than might be Inferred from their popular- ity in ecological literature. INTRODUCTION Although v;aterhyacinths cover an estimated 200,000 acres of water in Florida, the aquatic entomofauna beneath them has scarcely been studied. Some researchers believe that the water beneath waterhyacinth mats is relatively devoid of life due to a reduction of dissolved oxygen. Of the two previous studies of aquatic insects beneath waterhyacinths , one xvas restricted to canals in South Florida, tlie other to a single reservoir in Central Florida; neither identified the aquatic insects to species level. By collecting and identifying aquatic insects beneath waterhyacinth communities at 37 loca- tions in 13 Florida counties, I hoped to provide a better picture of the variety and extent of the aquatic life in this common Florida habitat. Many studies of a particular habitat are surveys, re- porting only the presence of a species . By standardizing my collecting methods, I hoped to determine if the abundance of individuals in each species was also important. By taking measuremients of the waterhyacinths and a number of water quality parameters, I hoped to elucidate the environmental factors affecting species composition and abundance. Repeti- tive sampling of 3 study sites also would allow detection of seasonal changes in the composition of the aquatic entomofauna and determination of whether the abundances of different species could be used to differentiate between the sites. The utility of species abundances for determining the estimated number of species present at a sampling site was demonstrated by 2 differeiit methods. By comparing the re- sults of the estimated total number of species, as calculated by fitting an exponential species accumulation curve, with the estimate obtained by fitting a lognormal distribution curve to the species abundance plot, I gained a knowledge of these techniques and their relative value. Several diversity indices which reduce the number of species and their relative distributions to a single statis- tic were calculated. Their utility in describing a collec- tion could then be tested, as could the effects of environ- mental factors on these indices. The use of various multivariate statistical techniques and numerical ecological methods not onlv illustrated their utility for ecological research but also helped define the important parameters and their interactions in these water- hyacinth communities and the methods which could be used to detect them. LITERATURE REVIEVJ Eichhornia crassipes (Martius) Solms-Laubach Description The waterhyacinth , Eiclihornia crassipes , is a widespread aquatic weed. The most recent botanical treatment of this species is probably by Agostini (1974, p. 305), whose descrip- tion of the species, as translated by Center (1976, p. 5), is: Plants floating or sometimes fixed to the substrate, the leaves in the form of a rosette with the stem reduced and the plants connected by an elongated horizontal rhizome; numerous plumose roots issue from each plant. The aerial leaves are variable in shape; petioles of 2 to 30 cm long are more or less inflated; stipules 2-15 cm long with a small apical orbicular-renif orm lamina with a lacerate [serrate?] margin; submerged leaves never evident. Inflorescence variable, internodes betv/een the spathes nearly ab- sent; inferior spathe with lamina 1-5 cm long, the sheath 3.5-7 cm long. Flower 4-6 cm long; perianth light purple or rarely white, tube 1.5-2.0 cm long, lobes 2.5-4.5 cm long, with entire margins. Stamens all exserted, filaments villous-gladular . Cap- sule elliptical, trigonous, 12-15 mm long; seeds oblong-elliptical 1.2-1.5 x 0.6-0.6 mm with 10 longitudinal ridges. Taxonomy Eichhornia is one of 9 genera, all aquatic, of the pickerelweed family, Pontederiaceae , all but 2 of which are considered endemic to the Nev; World (Cook et al. 1974). The waterhyacinth is the most widespread of the 7 species of tliis mainly neotropical genus. E. crassipes is the only member of the genus found in the United States, although there are reports of E. azurea (Sw.) Kunth in South Flori- ida (Burkhalter 1974). Waterhyacinth first received the attention of European taxonomists during the beginning of the nineteenth century, and Bock (1966) has an excellent historical review of the taxonomy of this species. Center (1976, p. 3) cites Agostini (1974) for the following synonomy for Eichhornia crassipes : Eichhornia crassipes (Mart.) Solms in DC, Monogr. Phan. 4:5 IT~T^"81 . Pontederia crassipes Mart., Nov. Gen. 1:9. r~^. 1824. Piaropus crassipes (Mart.) Raf., Fl. Tell. 2: ~81 1837. Eichhornia speciosa Kunth, Enum. PI. 4: 131. Eichhornia cordif olia Gandog. , Bull. Soc. Bot. France 66 779^ 1920. The scientific synonyms E. speciosa and Piaropus cras- sipes are especially common in the literature even 50 years after Solras-Laubach ' s revision. While the binomial Eichhornia crassipes has gained wide- spread acceptance in the last 30 or 40 years, the authorship of the name is often coiifused, sometimes being mistakenly attributed to Kunth. The correct form for the scientific name with the authors abbreviated is "Eichhornia crassipes (Mart.) Solms". E. crassipes has a variety of common names in different parts of the v.^orld, with Bock (1966) listing 48 names from 18 countries. In tlie English language the name waterhyacinth is commonly used. The structure of the name varies, however, sometimes being v;ritten as one word (waterhyacinth) , as a hyphenated word (water-hyacinth), or most frequently as two words (water hyacinth). Although most modern authoritative botanical works (e.g. Cook et al. 1974, Muenscher 1967, Stodola 1967) use the two-word form "water hyacinth," I will use the single-word form "waterhyacinth," as recommended in Kelsey and Dayton's (1942) list of standardized plant names and in the Composite List of Weeds by the Subcommittee on Standardization of Common and Botanical Names of Weeds (Anon- ymous 1966) . Distribution- -Florida Waterhyacinth, now generally believed to be a native of South America, is widely distributed tliroughout the tropical, subtropical and, occasionally, temperate regions of the world (Holm et al. 1969, Bock 1966, Center 1976). Although some earlier workers consider waterhyacinth a native of Florida (Buckman 1930, Small 1933, Muenscher 1967), most agree that it was introduced. Coin (1943) cites a University of Florida botany professor with crediting the U. S. introduction of waterhyacinth to the Venezuelan delegation to the 1835 Cen- tennial Exposition, with waterhyacinth subsequently being introduced about 1840 into Florida by cattle-growers. There is an amazing reference (Govcanloch 1944) that waterhyacinth was introduced to South America from Japan. This report is probably due more to wartime emotionalism than scientific fact. Penfound and Earle (1948) mention that it may have been cultivated as a greenhouse plant as early as shortly after the Civil War. As Bock (1966) points out, it is dif- ficult to believe that a species as large and showy as water- hyacinth was overlooked until the late 1880 's by all the early botanists in the state. Most authorities agree that, directly or indirectly, the waterhyacinths in Florida came from those brought from Venezuela by the Japanese delegation for distribution as souvenirs at the 1884 International Cotton Exhibition (sometimes referred to as the 1884 Cotton Centennial Exhibition) in New Orleans (Klorer 1909, Buckman 1930, Penfound and Earle 1948, Tabita and Woods 1962). Although the precise time and area v;here waterhyacinths were introduced into Florida is not surely kno^vn , the earli- est reports place it in the St. Johns River near Palatka in 1890. A New York newspaper account (Anonvmous 1896) quotes a ^Tr. J. E. Lucas of Palatka that the waterhyacinths were introduced by a Mr. Fuller [in 18911 into the St. Johns River seven miles north of Palatka at Edgewater Grove from plants brought originally from Europe. V/ebber (1897) places the point of introduction ". . . about 1890, at Edgewater, about four miles north of Palatka" (p. 11), vjhile Tilghman (1962), an old resident of Palatka, states "Florida's first water hyacinth was placed in the St. Jolins River by a winter visitor, Mrs. W. F. Fuller, at San Mateo, five miles south of Palatka" (p. 8). Most subsequent workers (Buckman 1930, Penfound and Earle 19''t8, TabiLa and Woods L962, Seabrook 1962, Zeiger 1962, Raynes 1964, and many others) give similar versions of the introduction based directly or indirectly on the above accounts . In 1897 waterhyacinth distribution in Florida was thought to be confined to the St. Johns River and its tributaries and a fev; landlocked lakes (Webber 189 7) . In 1930 waterhyacinths seemed still to be confined to the 42-square-mile (26,800 acres) St. Johns River drainage (Buckraan 1930). By 1947 the estimated area of infestation increased to 63,000 acres and to approximately 80,000 acres by 1962 (Tabita and VJoods 1962). In 1964 an estimated 90,000 acres were infested (Ingersoll 1964), while by 1972 the estimated area of infestation had increased to 200,000 acres (Perkins 1973). The 1975 estimate is also 200,000 acres (Center 1976). Pro ductivity and Reproduct ion This increase in the area infested, despite massive con- trol measures dating back over 75 3'ears , points out the re- markable reproductive ability of this plant. Considered one of the world's most productive photosynthetic organisms (VJestlake 1963), waterhyacinths under optimal conditions may double in number in 11 to 18 days (Penfound and Earle 1948). Center (1976) presents a table on waterhyacinth pro- ductivity and standing crop compiled from many different sources . Such rapid increase in new plants is due primarily to vegetative reproduction (Hitchcock e_t a_l. 1950), with one plant producing many offsets, or suckers, on stolons (Pen- found and Earle 1948). New plants are also regenerated from broken portions of the rhizome (ibid.). Unlike California and some other parts of the world (Bock 1966) , in Florida reproduction from seed definitely occurs, with about 5% germinating under normal conditions (Zeiger 1962) . Seeds are considered important in Florida chiefly as propagules for infesting new areas or for rein- festing areas where waterhyacinths had been controlled. Environmental Requirements Although it is frequently believed that the absence of waterhyacinths in a suitable body of water is due to the lack of introduction of a propagule (Penfound and Earle 1948) , this is probably an over-simplification. As Morris (1974) points out, an invading organism's success is due not only to favorable physical factors such as nutrients, light and temperature, but also to the competitive ability of plants already present in the area. He demonstrated that waterhy- acinths would not become established when introduced to an area with abundant native vegetation. However, man frequently alters these natural, balanced, aquatic systems, sometimes by increasing the nutrient level. A good colonizing species like waterhyacinth can easily become established and out- compete the native flora in such disturbed aquatic systems. Light . Waterhyacinths require reasonably high light intensities for growth, at least 607o full sunlight according to Bock (1966). Penfound and Earle (1948) found that the lighL intensity in July above a waterhyacinth mat was 420 footcandles and noted that plants at 130 footcandles were dying. Knipling e_t al. (1970) found that photosynthesis increased from 7.8 mg CO /dm" leaf surface/hr to 16.1 mg/ 2 dm /fir when light intensity increased from 1450 to 8000 footcandles . Air temperature. Waterhyacinths can easily survive freezing temperatures for short periods of times. Webber (1897) , Buck (1930) and many subsequent workers observed re- growth of shoots from the submerged rhizome after the tops of the plants had been killed by frost. Survival at 21°F for 12 hrs has been recorded, with lower temperatures killing the rhizome and preventing regrowth (Penfound and Earle 1948) . I could find no literature on optimum or maximum air tempera- tures for v.'aterhyacinth ; however, it is undoubtedly fairly high, as most prolific growth usually occurs during summer when daytime temperatures are frequently in the upper 80 ' s and low 90 ' s °F. Balciunas (unpublished data) observed lux- uriant growth in a greenhouse where daytime summer tempera- ture was consistently about 100°F. \/ater temperature. Knipling e_t ad. (1970) determined that the optimimi water temperature for waterhyacinth was 28-30^C (82.4-86.0"F) but that growth was relatively high over the range of 22-35°C ( 71 . 6-95 . 0 '^P') • Waterhyacinths will survive a water temperature of 34°C (93.2°F) for 4 or 5 weeks (Penfound and Earle 1948), but higher temperatures are detrimental, with negative growth occurring at 40°C (104°F) iO VJatcr (lepLh. Waterhyacinths can grow on land; Penfound and Earle (1948) noted survival of plants for up to 18 days out of v;ater. A high soil moisture content seems necessary for prolonged survival (Webber 1897, Bock 1966). There seems to be no good correlation between increasing water depth and waterhyacinth growth (Morris 1974) . Water Quality Hydrogen ion concentration. Waterhvacinth seems tolerant to pll values normally encountered in aquatic systems. Haller and Sutton (1973) found that optimal growth occurred in acid to slightly alkaline conditions (pH 4-8) and some growth oc- curred from pH 8.0 to 10.0. Bock (1966), citing various sources, gives a pH range of 4 to 9 . Penfound and Earle (1948) found that the pH of water beneath waterhyacinths usually ranged from 6.2-6.8 but that waterhyacinths could tolerate extremes of 4-5 and 9-10. Chadwick and Obeid (1966), in com- paring growth of waterhyacinths and water lettuce (Pistia stratiotes L.), found that optimal growth for waterhyacinths ccurred at a pH of 7.0 while 4.0 was optimal for waterlettuce . Center and Balciunas (1975) , comparing water quality at vari- ous locations having waterhyacinths, alligator weed (Alter- nanthera philoxeroides (Mart.) Griseb.), or neither weed, found there was little difference in the pH preferences of the plants and that the pH of areas with waterhyacinth was slightly lower (7.06 ± 0.84), though not significantly, than the pH of areas having no aquatic weeds (7.55 ± 1.06). o li Nutrients . Dymond (1.9''48) and Hitchcock e_t al . (1949) found that wa terhyacinths grow well in nutrient-poor as well as in nutrient-rich water but that added nutrients favor growth. Haller e_t al^. (1970) found that less than 0.01 ppm phosphorus was limiting to waterhyacinth growth and that above this level phosphorus was absorbed in luxury amounts. Haller and Sutton (1973) found that maximum growth occurred in water with a phosphorus concentration of 20 ppm and that levels greater than 40 ppm were toxic. Boyd and Scarsbrook (1975) added fertilizer at 4 different levels to waterhyacinth ponds and found that the lowest waterhyacinth biomass yield was from unfertilized ponds while the highest yields came from ponds with the intermediate level of fertilization. Wahlquist (1972) compared yields of waterhyacinths grown with no fertilizer, with fertilizer containing phosphorus, and with fertilizer containing both nitrogen and phosphorus. He found that fertilized ponds had much higher yields (550.4 and 590.9 metric tons/ha) than unfertilized ponds (174.5 metric tons/ha) and that ponds fertilized with nitrogen and phos- phorus had a slightly higher (but statistically insignificant) yield than ponds fertilized with phosphorus only. Salinity . Although plants can survive up to 13 days in 100'/'. seawater (Bock 1966) , waterhyacinth is intolerant to salt water, with Buckman (1930) listing a survival time of only 24 hrs . Penfound and Earle (1948) found that waterhyacinths did not tolerate more than slightly brackish water and were 12 not found in lakes or streams with an average salinity greater than 157, seawater. Alkalinity. Center and Balciunas (19 75) found the alka- linity of water containing waterhyacinths or alligatorweed was higher than that of water without either species. Metallic ions. Sutton and Blackburn (1971a, 1971b) found that 3.5 ppm copper for 2 weeks inhibited waterhyacinth growth. Center and Balciunas (1975) found waterhyacinths more tolerant of low iron levels than alligatorweed. Morris (1974) found no correlation between waterhyacinth growth and the levels of copper and iron at his study sites. Economic Importance Problems . The explosive growth of waterhyacinth has caused it to be ranked as one of the 10 most important weeds and the most important aquatic weed (Holm et al. 1969). The massive amount of literature on the problems caused by water- hyacinth is well reviewed by Del Fosse (1975) and Center (1976). A list of the main categories of problems is: (1) Interference with navigation; (2) Clogging of water drains, irrigation canals, spray equipment and pumps ; (3) Interference with fishing, swimming and other aqua- tic recreational activities; (4) Oxygen depletion caused by heavy infestations, making water inhospitable to manv aquatic organisms; 13 (5) Increased evapotranspiration rates in an infested area (1.5 to 5 times higher than evapotranspiration from ad- jacent open water); (6) Reduction of fish populations by destruction of spavming beds, competition for nutrients and space, depletion of dissolved oxygen, and by preventing predators from finding small organisms; (7) Creation of deep beds of organic sediment; (8) Reduction of open water available to waterfowl; (9) Creation of ideal breeding places for certain mos- quitoes, some of them disease vectors; (10) Increased flooding due to obstruction of waterways; (11) Occasional destruction of bridges, trestles and other structures during flooding; (12) Shading out and otherwise out-competing beneficial aquatic vegetation; (13) Monetary and ecological costs of control; (14) Rendering unsightly and aesthetically unpleasant the water surfaces which they completely cover. Control . The U. S. Armiy Corps of Engineers estimates that a total of $76 million was allocated for aquatic weed control in Florida during fiscal year 1976, with almost $5 million being allocated for waterhyacinth control (Center 1976). Morris (197^) cites a USDA source for a $12-$16 mil- lion estimate of the costs of waterhyacinth control in Flor- ida in 1973. 14 The literature on waterhyacinth control is enormous. There is even a Hyacinth Control Journal (renamed in 1975 the Aquatic Weed Management Journal) which began publication in 1962. Pieterse (1974) provides a good review of the most important literature on waterhyacinth control. Del Fosse (1975) has a more detailed review of the various aspects of waterhyacinth control. There are also good, recent review articles for each particular aspect of waterhyacinth control: methods of mechanical control have been reviewed by Robson (1974); chem- ical control and the various compounds available were re- viewed by Blackburn (1974) ; biological control of aquatic weeds has been reviewed by Bennett (1974) and by Andres and Bennett (1975) . The use of plant pathogens was reviewed by Zettler and Freeman (1972), Freeman et al. (1974) and by Charudattan (1975). Mitchell (1974) reviewed habitat manage- ment as a means of aquatic weed control. Utili;:ation . Possible beneficial uses of waterhyacinths have been a concern of even the earliest reports (Webber 1897, Buckman 1930, Penfound and Earle 1948). Bock (1966), Pieterse (1974), Del Fosse (1975), and Center (1976) all review the abundant literature regarding the beneficial aspects of water- hyacinths, the main ones of which are: (1) Removal of nutrients from v/ater, including use of waterhyacinths in sewage treatment; (2) Protection of shorelines from erosion; (3) Use as mulch and fertilizer; 15 (4) Use as a source oi produclion oF natural gas; (5) Increase in aquatic organisms utilizable as fish food ; (6) Use as fodder for cattle, pigs, catfish or other animals ; (7) Shading out of nuisance submerged plants like Hydrilla; (8) Decrease in breeding habitat for certain mosquito species (Barber and Hayne 1925) ; (9) Use in construction of a large variety of objects, e.g., chair bottoms, cigar x-/rappers , ice chests, paper; (10) Aesthetic appeal of beautiful blossoms and luxuri- ant green foliage. Habitat for Aquatic Insects The insects found beneath waterhyacinths have received little attention. Most of the literature about insects assoc- iated with waterhyacinths deals V7ith those v/hich might have potential as control agents through their feeding activity or transmission of pathogens. Fred Bennett of the Common- v/ealth Institute for Biological Control in Trinidad has published many papers on insects and mites on waterhyacinth and their possible use as biocontrol agents (Bennett 1967, 1968a, 1968b, 1970, 1972, Bennett and Zwolfer 1968). Others who have provided lists of insects attacking waterhyacinth are Gordon and Coulson (1969), Coulson (1971), Perkins (1972, 1974), and Spencer (1973, 1974). None of these investigators mentions any aquatic insects except the weevils, Neochetina 16 spp., which build their pupal case in the root hairs of water- hyacinths (DeLoach 1975) . Waterhyacinths ' extensive root systems, sometimes over a meter in length, create a vast new habitat for a variety of aquatic insects where previously a few larger, predaceous , open-water forms dominated. Weber (1950) estimates the area of the roots of one small waterhyacinth is 7.31 square meters. O'llara (1968) believes that waterhyacinth has a greater inter- face area than any other aquatic plant. Although Coin (1943) thought that the root length of waterhyacinth plants was dependent on the depth of the water beneath them, it has been demonstrated that root length is a function of the nutrient content of the water: the longest roots occur in nutrient-poor waters, the shortest roots in nutrient-rich water (Wakefield and Beck 1962, Haller and Sut- ton 1973, liorris 1974). The blue color frequently seen in the roots, often cited as a diagnostic aid, is also due to water quality. Plants gro\-m in phosphorus-deficient water have iridescent blue roots, indicative of anthocyanin production and phosphorus deficiency, while roots of plants grown in nutritive waters are a normal, gray-black color (Haller and Sutton 1973) . V/hile fishermen (Tilghman 1962) frequently praise the waterhyacinth for producing an abundance of aquatic insects and other organisms desirable as fish food, most investiga- tors disagree. They believe the apparent abundance of aquatic organisms occurs only on the edge of a mat, with the 17 water undei- the center of the mat being "... unsuitable for the existence of most forms of plankton and aquatic insect life." (Lynch ej; al. 1947, p. 64). Many agree, citing low levels of dissolved oxygen beneath a solid mat (Lynch 1947, Ultsch 1971, 1973). Wahlquist (1969) believes the reduction of fish yield in xvaterhyacinth-inf ested ponds is due to shading out of phy toplankton by waterhyacinths . Few workers have actually surveyed the aquatic entomo- fauna of waterhyacinths. Coin (1943) surveyed the lower ver- tebrate forms of waterhyacinth communities but he mentions only one insect, the midge Chironomus . 0 ' Kara (1961, 1968) surveyed the invertebrate fauna of waterhyacinth-covered canals in South Florida and lists the insects collected, most of which are identified only to family. Katz (1967), in her ^ study of the effects of chemical eradication of waterhyacinths on the associated aquatic fauna, provides lists of insects on and below waterhyacinths. Most of the insects are identi- fied to the generic level, but I suspect there are many erroneous identifications. Hansen et^ al^. (1971), in studying the food chains of aquatic organisms beneath waterhyacinths, mentions several different aquatic insects. Lynch et al. (1947) collected a relatively small number of aquatic insects from beneath waterhyacinths, most of which were identified to family or order. Wahlquist (1969) also mentions some in- sects, identified only to family or order, which serve as food for fishes living in waterhyacinth-covered ponds. 18 The only group of aquatic insects whose relationship to waterhyacinth has been investigated more thoroughly is the mosquitoes (Culicidae) . Barber and Hayne (1925) list 4 sfiecies of Anopheles collected among waterhyacinths , A. crucians being the most common. Seabrook (1962) , in his study of correlation of mosquito breeding to waterhyacinths, mentions 2 species of Anopheles and all 3 species of Mansonia as being associated with waterhyacinths. He, along with Barber and Hayne (1925) and Lynch et_ al. (1947), believes that waterhyacinths increase mosquito production. However, Viosca (1924; cited by Barber and Hayne 1925) , Mulrennan (1962) and Ferguson (1968) believe that v/aterhyacinths re- duce mosquito production by shading out planktonic food and the submerged plants which serve as refuges. The only other references I found to aquatic insects associated v/itb waterhyacinths are casual references by ento- mologists to the habitat v/here a certain species was col- lected, e.££. , Blatchley (1914, 1925), Young (1954). METHODS Aquatic insects were collected 88 times in 37 different waterhyacinth communities in 18 Florida counties. In addi- tion, 3 study sites in Alachua County (Camps Canal, Lake Alice, and a drainage ditch at Interstate 75) x^7ere sampled repeatedly in order to ascertain seasonal and other temporal changes. Twenty-nine collections were made at Camps Canal, including regular samples at 2- to 3-weGk intervals during all of 197A. The first collection was made 12 Aug. 1972, the last on 5 Dec. 1974. Table 1 presents a list of collec- tion sites and dates. Sample Site Selection The exact sampling point at a given collection site was selected on the basis of several considerations. An area containing an essentially pure stand of waterhyacinths was chosen in order to eliminate complicating effects which other aquatic or successional plants might have on the biota beneath a waterhyacinth mat. The waterhyacinth communities sampled were essentially monotypic, although almost all con- tained small amounts of duckweed, Lemna and Spirodella spp . , and/or some water fern, Salvinia and Azolla spp. Watermeal, VJolfia spp. and Wolfiella spp., was sometimes present mixed with the Lemna. These floating macrophytes were seldom 19 Table 1. List of collection sites. 20 LA k|. fli I , L-'i A 1' r ' .f ■ I Tr C»^l" s c -' P '• .". It :>J.,' ' C '' ■■■ r ■ ■ r 1- . .J, [l.--e 1 ■. ",' 1 ir C U L >. ■ I :• JUL II J'.M 1! J"l 1^7- 1 . . , pr A I ^ A .. f: ITTh C 1 ■■■ t' • s f ', f|4L C A ^ n ■ ', (■ ^ ■ . f L 1 A K'- C A •.' ; ■ , •;' l C A ■- P • r C A f- 1' • ' \ N ■ I L^K'- A; 1 r C AIT- lr.41. S'-ALl 1 SWAL- I r'-- [1 <;Tt.i: r '•- r M_VF t 1 " •> ^■'' •^ 'i >■:■ J '■-;■ , A I / , ,.i -, .- ■'Y r IT , -J, ,,,, If,,.,, _ ,,, .,•,.,,. , UNI V. :^ =1 A. , r,- ■ N. .VI I L . nV :-, .' ,?.(.■. MO ir> ,■ , Ji .-.'^^ ML. A - W, CI 1 7." . s ■■! ' %: C ' 7I . r.' MV ■-^' - 1-1 nr \■^ ,r . ,. . t-,,,,„ f 1 T JUN 1 '■ .Jil- 7«) JU'- ! 3 I I 1:1 21 abundant except in a few places where waterhyaclnth growth was poor and the waterhyaclnth plants widely separated from each other. Emergent, rooted aquatic vegetation such as cattails, Typhus sp . , and grasses was sometimes present along the shoreline, but submerged aquatic plants were almost never present beneath the waterhyaclnth mat, although they were sometimes within the sampling area. Within a mat a sampling point which was some distance (2-20 meters) from the shoreline v/as usually chosen in order to eliminate ecotone and emergent vegetation effects. The sampling point was reached by wading if water depth and bot- tom configuration permitted; otherv.'ise, 2 Styrofoam billets allowed me to reach and sample the interior of the mat by alternately standing on one billet and moving tlie other. Accessability was another consideration. Since a con- siderable amount of equipment, e.g^. Hach test kit, Styrofoam billets, sampler, collecting and recording equipment, had to be transported, suitable sampling areas near roads were usu- ally favored. Collection Methods The collections made in 1972 (#1 - #7) were strictly qualitative, with no attempt at standardization. Standardized collection time. The 1973 collections, along with those from the early part of 1974 (#11 - #58) , were made on a standard- time basis, i.e. , a waterhyaclnth mat was sampled for approximately 1 hour, usually divided into 2 half-hour subsamples. 22 If the waterhyacinth mat was not too thick, a triangular dip net was placed well under the plants and a clump of water- hyacinths was lifted inside the net out of the vi/ater. The contents of the net and the waterhyacinths were washed in a pail of water, then small portions of v/ater from the pail were poured into a white enamel pan and searched for insects, which were placed into a vial of 70% alcohol. Each vial had a collection number placed inside and also written on the stopper. Once all the water in the pail had been searched for insects, the entire procedure was repeated until the time period elapsed. The entire contents of the pail were searched even if the time period ended before all the water had been examined. Actual time spent collecting the insects, as well as number of plants and petioles searched, their height above the water, root length and water depth were recorded. Offsets were con- sidered plants if a root system had developed; petioles were counted only if they had a portion of a green leaf. If a mat was too thick, i.e. , the numerous stolons and petioles prevented passage of the dip net, then a clump of waterhyacinths would he quickly pulled out of the water into the pail, the roots washed and the water examined as previously outlined. This standardized collection time method or "catch per unit effort" is a valid way of estimating insect popula- tion density (Morris 1960), however, preliminary analysis of my data showed that extension of these type data could lead to spurious conclusions. 23 SLandardized area. A sampler which would cut through a waterhyacinth mat and capture the organisms underneath was designed and constructed. It consisted of a rectangular aluminum box, SO x 40 x 50 cm, open at both ends, reinforced with an external frame and with strips of sharpened stainless steel attached to the bottom edge. The sampler, when brought down vigorously in a vertical position on top of a waterhya- o cinth mat, cut a 1 /5-square-meter (0.2 m ) section out of the mat. A 10-cm high aluminum drawer with a double mesh bottom was then quickly inserted into a slot 15 cm from the bottom of the sampler, thus enclosing the waterhyacinth mat sample and aquatic organisms beneath it in the sampler. The sampler was then lifted out of the water, the water was drained through the screen drawer, and the drawer was searched for aquatic organisms, washed and searched again. Roots of waterhyacinths trapped inside the sampler were washed vigorously in a bucket of water and the water was searched for aquatic organisms. Although some active organisms might have eluded capture by swimming straight do^^m before the drawer could be inserted in the sampler, the presence of numerous fish, crayfish and other active swimmers inside the sampler indicated that it was reasonably effective in cap- turing the organisms beneatl) the waterhyacinth mat. As with the standard- t ime sampling method, plant height, root length and water depth as well as number of pilants and petioles in- side the sampler v;ere recorded. Water temperature at a depth of approximately 15 cm was also recorded. 24 Water Quality Water quality data for each collection site were taken in the following manner. Three water samples were drawn from a depth of about 15 cm ±n pint-sized Whirl-pak plastic bags labelled with the collection number. Total alkalinity, total hardness, pH and specific conductance of one sample were tested immediately, using a portable Hach DR-EL/2 test kit. At the laboratory, the second sample was tested with the Hach kit for chlorides, total nitrates and nitrites, total phosphates, and sulphates. The third water sample was refrigerated until delivered to the University of Florida Soils Laboratory, which conducted a variety of tests, of which those for copper, potassium and iron were the most im- portant . The methods applied to the water samples were: alkalinity (total) -- titration ; chloride-- titration , mercuric nitrate; copper--atomic absorption spectrophotometer; hardness (total) -- titration , Titra Ver; iron--atomic absorption spectrophotometer; nitrates and nitrites (total) - -cadmium reduction; pH- -calorimetric , wide-range ; phosphates--ascorbic acid, Phos Ver III; potassium-- flame emission spectrophotometer; specific conductance--direc t measurement, conduc- tivity probe; sulphates- -turbidimetric , Sulfa Ver IV. 25 IdenLif ica tion Identification, labelling and cataloging of the thou- sands of specimens collected took place in the laboratory. Of the organisms collected, only aquatic insects were iden- tified. Aquatic insects were defined as those having at least one life stage which spent time in or on the water. This definition excluded insects living inside the water- hyacinth plant and those found on the emergent portion of the plant. I identified the specimens using taxonomic keys and referring to identified specimens at the Florida State Col- lection of Arthropods and to the original species description and other taxonomic papers. Although most groups lacked keys to nymphal stages, I was able to identify the nymphs of al- most all groups after examining many specimens and construct- ing life series . Since there are few keys for larval forms (especially to species level) , I originally attempted to rear many of the larvae collected. However, the lack of adequate facilities and time to rear these many aquatic larvae with their diverse requirements, and the subsequent loss of some specimens and poor quality of others caused the termination of this approach. Subsequently ail larvae were preserved in the field along with the other insects. Some larvae were identified by experts on the groups . I identified the mayfly (Ephemeroptera) nymphs using Berner's (1950, 1968) keys, and Dr. Lev/is Berner of the 26 University of Florida kindly checked the identifications of some representative speciniens. Dragonfly (Odonata : Anisoptera) nymphs were identified using the keys of Wright and Peterson (19A4) and Needham and Westfall (1955). Damselflies (Odonata : Zygoptera) were especially difficult to identify since no comprehensive key to species exists, but by using Walker's (1953) descriptions and other species descriptions as well as characters provided by Dr. Minter J. Westfall of the University of Florida, and by constructing life series, I was able to identify all speci- mens, including very early instars. Dr. VJestfall examined and verified all my odonate specimens. Aquatic Hemiptera were identified using the keys of Herring (1950a, 1950b, 1951a, 1951b) for most families. Velvet water bugs (Hebridae) v/ere identified using Chapman's (1958) key; water-crawling Inigs (Naucoridae) were identified using La Rivers' (1948, 1970) keys and by construction of life series of nymphal stages. Dr. Jon Herring, USDA Syste- matic Entomology Laboratory, confirmed my identifications of representative specimens of different species of aquatic and semi-aquatic Hemiptera except for the giant water bugs (Belostomatidae) , which were checked by Dr. Mencke at the Smithsonian Institution. Caddis fly (Trichoptera) larvae were determined using Wallace's (1968) key. Dr. Oliver Flint at the Smithsonian checked all my caddisfly identifications. Species level determination was frequently impossible. 27 Dobsonfly (Megaloptei-a : Corydalidae) larvae were iden- tified with the keys of Chandler (1956) and Cuyler (1958). Adult water beetles (Coleoptera) , except Hydrochidae, were identified by using Young's keys (1954, 1956, 1963). Hydrochidae were identified by Dr. John L. Hellman of the University of Maryland. The larvae of aquatic beetles could not be easily identified, though Leech and Chandler's (1956) keys in Aquatic Insects of California were of some value in identifying larvae of some families to the generic level. Species level determination was possible only for genera monotypic in Florida. Dr. Paul J. Spangler of the Smithson- ian Institution graciously identified or confirmed my iden- tifications of all aquatic beetle larvae except Helodidae. Helodidae larvae are very poorly knov/n and even the identi- fication of adults \^7as very difficult. I was successful in rearing some larvae to adult stage. Dr. Dale Habeck, Univer- sity of Florida, and I were then able to find characters to discriminate the different genera. Dr. Frank Young at the University of Indiana checked all of my aquatic beetle adults except the adult Hydrophilidae , which vjere checked by Dr. Spangler . Dr. Dale Ilabeck also identified the aquatic Lepidoptera larvae . Mosquito larvae (Culicldae) were readily identified to species using Carpenter and LaCasse (1955). Dr. William Beck of Florida A &. M graciously identified all thousand-odd of my midge (Chironomidae) larvae specimens. Other families of 28 Diptera larvae could be ideatified to the generic level using keys of VJirth and Stone (1956) , while a few (17 specimens) of Diptera larvae and pupae could be placed only at the family level . Analyses After all specimens had been identified and recorded, comparison of the species composition of different collec- tions was desired. With the number of species in a collec- tion ranging from 1-31 and the number of specimens in a col- lection from 3-373, direct comparisons of species composition of collections was difficult. In ecological studies it is common to represent the numbers of species and their relative distribution by a single statistic, an index of species diversity . The choice of diversity indices is enormous, with much confusion about terms and applicability (Hurlbert 1971, Peet 1974) . Much of the confusion results from the dual concepts which most, but by no means all, authorities believe an in- dex of diversity should embody. Almost all agree that species richness, the number of species in a sample (sometimes re- ferred to as species number or species count) , should be re- flected in the species diversity index used. Many research- ers, especially outside the field of ecology, in fact tend to equate diversity with species richness, i.e., a collection has "high diversity" because many species are present. How- ever, this reliance exclusively on species richness does not take into account the relative abundances of each species. 29 The species evenness or equitability concept of diversity stresses these relative abundances, equating high diversity (more properly, high equitability) with an even distribution of individuals among the species present, while low equit- ability implies a few abundant species, other species being relatively rare. Most authorities in this area agree that a proper measure of species diversity includes both species richness and species equitability components (Margalef 1969, Pielou 1969, Peet 1974). Hurlbert (1971), among others, would restrict the term diversity to this dual concept. Because of the preponderance of authoritative opinion favoring a diversity index with both richness and evenness components, classed by Peet (1974) as heterogeneity indices, my investigations were limited to this type. Peet (1974), in his excellent review article on diversity indices, lists 4 commonly used heterogeneity indices. E. H. Simpson proposed a diversity index in 1949 which recognized the dual concept of diversity and which bears his name. Simp- son's index, with slight modifications, is extensively used and is recommended, at least for certain applications, by many authorities (Williams 1964, Ivhittaker 1965, 1972, Sanders 1968, Pielou 1969). Pielou's (1969) restatement of Simpson's index as adjusted for finite sample size is frequently used: D = 1 - Z "^±(^11^ 1=1 ~nXN-1) where N is the total number of specimens in the collection, n. is the number of specimens in the the number of species in the sample. n. is the number of specimens in the i — species, and s is 30 Mcintosh (1967) suggested another index: Mcintosh's index, while receiving attention in review arti- cles on diversity indices (Pielou 1969, Peet 1974), does not appear to be frequently used. Peet (1974) considers it a variation of Simpson's index, xs/hile Bullock (1971) criticizes its applicability and sensitivity. By far the most popular and widely used index is Shannon- Weaver's diversity index: H ■ . Z_ p . log p . , where p. is the proportion of the total specimens comprised by the i— species of p.=n./N. Based on information theory, diversity is equated to uncertainty. As Pielou puts it: Diversity in this connexion means the degree of uncertainty attached to the specific identity of ai:Ly randomly sel- ected individual. The greater the number of species and the more nearly equal their proportions, the greater the uncertaintv and hence the diversity. (1966a, p. 131) Althougli the most popular diversity index, the Shannon- Weaver index is also the most widely criticized. Monk (1967) and Sager and Hasler (1969) believe this index to be insensi- tive to rare species whereas Peet (1974) suggests it is most sensitive to rare species. Fager (1972), Whittaker (1972) and Foole (1974) believe Shamion ' s index most sensitive to 31 species of intermediate importance. Pielou (1966b) believes it is used frequently in situations where it is not appli- cable and questions the validity of equating uncertainty with diversity (1969). Both Pielou (1966a, 1966b) and Feet (1974) agree that the Shannon-Weaver index is applicable only when the collection is a random sample drawn from an infinitely large population pool. For finite collections, such as light-trap collections, Pielou (1966a) suggests the use of Brillouin's (1960) index: H = 1/N log (N!/ni In^ ! . . .n^) . Unfortunately, this involves computing very large numbers. Any integer factorial greater than 69 ! results in a number larger than 10'"°, which exceeds the capacity of even large, modern computers. Thus, direct calculation of this index for larger collections is laborious unless a simplifying method such as Sterling's approximation to the factorial is employed. Hov;ever , the substitution of the Sterling's approx- imation for the factorial results in this index becoming equivalent to the Shannon-Weaver index (Peet 1974) . Hurlbert believes that "... the recent literature on species diversity contains many semantic, conceptual and technical problems", so many problems, in fact, that he con- cludes ". . . species diversity has become a nonconcept." (1971, p. 57 ) He would possibly retain the term if the meaning of species diversity were restricted to those terms wliich combine both species richness and species evenness, 32 i.e., heterogeneity indices. He believes that there are 2 useful indices, one of which is modification of the rarefac- tion index E(S ) proposed by Sanders (1968) . This index calculates the expected number of species, E(S ), the sample would contain if the number of specimens were scaled down, i^.e. , rarefied, to some common number which would allow com- parison with other samples. The scaling, which was done in- correctly by Sanders (Hurlbert 1971, Fager 1972, Siraberloff 1972) , is necessary because larger samples would contain more species than a smaller one even if they v/ere drawn from the same community. Hurlbert (1971) and Simberloff (1972) pro- vide similar, correctly "scaled", calculating formulae for the rarefaction index; E(S ) = E^ [1 - n i=l N - n, / Wliile this results in a scaled estimate of species richness, and Peet (1974) classifies this as a richness index, I be- lieve it can be classified under the heterogeneity indices since the species composition, i.e. the evenness, was used in the scaling. I chose the following species diversity indices: Shannon-Weaver index, H', since it is the most commonly used index in recent ecological literature; Simpson's index, D, since it overcomes some of the shortcomings of H'; and the rarefaction diversity index, E(S ), because of its inherent n rationality and ease of interpretation. I wrote a small Fortran program, shown in Appendix A, which calculates 33 Shannon's H', Simpson's D, and also Brillouin's H when the collection is small enough. For these diversity indices, the choice of the base for the logarithm is left up to the researcher. Since no particular base seems to have become standardized, I chose to use natural logarithms, although the base 2 and base 10 logarithms also are frequently used. For calculating E(S^^), I modified slightly a program cited in Simberloff (19 72) and Heck e^ al. (19 75) and provided by Dr. Heck of Florida State University. As a check on the sensitivity of these 3 indices, I also used a fourth, ex- tremely simple index, the number of specimens per species, in all my analyses of diversity. Efficiency of sampling method and determination of the total number of species in the community sampled are usually unanswered questions in ecological studies. A relatively crude, frequently employed estimate of sample effort (Wilhm 1972, Heck et al . 1975) is the graphical plotting of a species accumulation curve. The cumulative number of new species is plotted versus the cumulative number of specimens, v^7ith each collection being added sequentially, hopefully resulting in a curve such as that shown in Figure 1. The resultant points initially form a straight line, as each collection adds a relatively constant increment of species per specimens collected. However, with increased sampling only rare species remain, and the line rapidly curves to become asymptotic at the value of the total number of species in the community and produces the typical exponential 34 .r^ / Figure 1. Generalized species accumulation curve (iwKiH'iK r>, Spp Figure 2. Lognormal species abundance curve (from Preston, 1948). 35 species accumulation curve. Unf ortunatelv , this asymptote is frequently attained only when the total number of individuals sampled is very large, sometimes only when nearly every in- dividual in the community has been collected and identified. In general practice, most researchers use this method to deter- mine if future sampling will be worthwhile, i.e., whether the crest or some other previously determined point on a species accumulation curve has been reached. This is usually done through simple visual inspection of a graph. The asymptote level, i.e. total number of species, is not usually calculated. For my data from my 3 repetitively sampled study sites, I refined this procedure. A curve such as the one shown in Fig. 1 can be represented by the general exponential equation: y = a(l - e ) , where a is the asymptote for the curve. Rewritten in terms of the species notation previously used, this equation be- comes : c-'- /I "bn s=S"(l-e ). The estimated total number of species in the collecting area, S'-'-', and the constant, b, can be determined from a curve fitted to the data. Although the computer program SAS PROC NLIN will fit this general curve to the data, it requires estimates of both S" and b. While a very general approximation of the value for S-' can be obtained from inspection of the data, the approximate value for b is not readily apparent. However, I 36 v;as able to devise a graphical method for obtaining an esti- mate for the value of b, which in turn allowed an estimation of S-''. First rewriting the equation as: s = S'- - S'^e , then taking the derivative results in: ds = bS-e dn or, in terms of the slope, ds/dn, of the curve: ds/dn = bS"e Taking the natural logarithm of both sides results in the expression : ln(ds/dn) = ln(bS") + (-bn). Thus the logarithm of the slope fits the general equation for a straight line: y = p. n + S 1 X , where the intercept Bg equals ln(bS'''), and the slope Bj equals -b. The slope ds/dn of the original equation can be approxi- mated by AS/An, the increase in the number of cumulative species over the number of specimens added with each additional collection. Thus, plotting ln(As/An) against the cumulative number of specimens, n, approximates plotting ln(ds/dn) versus n. Fitting a straiglit line to the resultant points by using the least squares procedure provides the value Bj, which is a 3 7 good approximation of b. Plugging this value of b and the values of a pair of s and n back in to the original equation results in a point estimate of S-. Using these crude esti- mates of S" and b allows the use of PROC NLIN to fit the curve to the data point, which then gives precise estimation of S- and b. The goodness of fit of the curve to the data points can be demonstrated by noting the level of significance for the F value, calculated by dividing the mean square of the re- gression by the mean square of the residual. Sampling effi- ciency was then simply the actual number of species collected (s) over the expected number of species (S-'O or: sampling efficiency = s/S". Another semigraphical method for determining the total number of species (S-) is by plotting what is termed a species abundance curve. F, W. Preston first presented this method in 1948 and elaborated on it in 1958 and 1962. The data are first arranged according to abundance of individuals in each species. The species are then grouped, each successive group representing species with twice as many individuals as the preceding group or, in other words, on a base 2 logarithmic scale. The third "octave," Preston's term for the groups, represents species which have between h and 8 individuals. Any species which falls on an interval boundary is split equally between both octaves, tlTUs a species containing 4 specimens is counted as contributing one-half to the second octave (2-4 individuals) and one-half to the third octave 38 (4-8 individuals) . Thus t.lie first octave contains half of the species having a single specimen and half of the species having 2 specimens. The number of species per octave is then plotted against the octave, resulting in a curve such as that shovm in Fig. 2, representing the species and abundances of moths caught in a light trap, as presented by Preston (1948). Note that the left-hand portion of the curve ends abruptly at the y-axis , called the "veil line" by Preston. The species to the left of the veil line are those which would be repre- sented by less than a single individual if collected in the same proportion as they exist in the sampling area, and they are. therefore, "hidden by the veil line," to use Preston's terminology. The general equation of the Gaussian curve which Preston fits to this and other data is: s = s^e-^aR) where s is the number of species in the modal octave, R o o (the octave containing the most species), s is the number of species in an octave which is R octaves from, the modal octave, and a is " . . . a constant calculated from the experimental evidence" (p. 258). In practice, a is extremely difficult to determine. It is derived by solving the equation for the curve which has been fitted to the data. Unfortunately, fit- ting a truncated Gaussian curve is a very difficult task. The statisticians in the Department of Statistics at the Univer- sity of Florida are awaiting arrival of some special statis- tical tables to enable them to do this. Although most texts 39 dealing with mathematical ecology (Cody and Diamond 1975, Pielou 1969, Price 1975, Poole 1974) mention Preston and present his graphs, I have found very few authors (Good 1953, Patrick 1954) who are able to apply his techniques to their own data. However, the value of a has been found to be very close to 0.2 for all data analyzed by Preston (1948, 1958, 1962) . The total number of species in the sampling area S* can then be found from the relation: S^'' = s /IT/ a o As Preston (1948) carefully points out, this theoretical total number of species is really the total number of species in the sampling universe, which differs from the total number of species in the sample area. It represents the total number of species which would be found if all individuals collectible by the sampling methods used were collected during the sample period. For example, the number of species estimated from light-trap data represents only those species which are in the vicinity of the light trap and are attracted or blunder into it. It does not represent the total number of species of all moths in the collecting area, just the collectible species. For purposes of comparison, species abundance curves were fitted by eye to the data for my 3 study sites and the value of a was assumed to equal 0.2. IVliile extremely rough, the S" derived by this method can be compared to S" derived from the species accumulation curves. 40 For othei- analyses of my data I used the 76.4 version of a variety of statistical computer programs which collec- tively are known as SAS (Barr e_t al. 1976) . The most commonly used statistical procedures were standard descriptive sta- tistics (PROC MEAN), correlation (PROC CORR) , linear regres- sion (PROC GLM) , stepwise multiple regression (PROC STEPWISE), nonlinear regression (PROC NLIN) , and discriminant analysis (PROC DISCRIM) . Standard printing and plotting programs (PROC PRINT and PROC SCATTER) were also used. All computer analyses were done by the IBM 370/165 computer (later replaced by an AMDAHL 470 V/6) at the Northeast Regional Data Center (NERDC) on the University of Florida campus. Because of the great variety of analyses, the results will be discussed under three separate headings: general, study site comparison, and diversitv studies. RESULTS AND DISCUSSION General Comnients on Species List A total of 5485 aquatic insects were found in 88 collec- tions from 37 sites in 18 Florida counties. Table 1 presents a list of collections, locations and dates. Some immature forms could be identified only to genus level, while 17 speci- mens of immature Diptera could be placed only to family level. Represented in the collections were at least 147 species of aquatic insects belonging to 44 families in 8 orders. Of these 147 species, 38 were represented by more than one life stage. These immature forms were treated as separate classes in all analyses except those involving species counts. An annotated list of all species collected is presented in Table 2. The species are arranged according to taxonomic groups; the orders are arranged in the same evolutionary sequence as in Usinger (1956) . Within the orders the families are ar- ranged alphabetically, as are the genera and species within the families. For each species the number of specimens col- lected, the number of sites and counties, as well as a list of collection numbers is presented. Any significant correla- tions with physical or chemical parameters as well as associ- ations with other insect species are noted. Maximum densities (text continued p. 116) 41 42 Table 2. An annotated list of insects collected in x^7aterhyacinth roots in Florida. Note: All correlations were computed using normalized (log transformed) data. For each species under the cate- gories "water quality preference" and "insect associations" is listed (1) the factor or species with which the species being discussed is correlated; (2) the correlation coeffi- cient, r; (3) p, the probability that the correlation coeffi- cient observed X'/ould occur by chance alone; and (4) n, the number of times the pair of factors or species being con- sidered occurred together. Only associations with a prob- ability less than 0.05 (57o) of occurring by chance are men- tioned. UTiile the probability p takes into account the number of observations, it is overly sensitive at low values of n. Correlations v/hich have less than 5 paired observa- tions (nosterior plvmiose setae and the paired hooks on the next- to-- las t ventral segment. All my specimens were collected either in February or August. 114 Unidentified Strationiidae larvae--2 specimens from 2 collections at Lake Alice, Alachua Co. Collections: 32, 35. Stratiorayid larvae which were too poorly preserved (after rearing attempts) to identify V7ere placed in this group . Syrphidae (Flower Flies) Larvae 144. Eristalis sp . larvae--9 specimens in 6 collections from 3 locations in Alachua Co. Collections: 13, 33, 35, 36, 91, 94. Maximum density: . 10 /plant at #36; S/m^ at #94. Rat- tailed maggots, as the larvae of this genus are known, were collected only occasionally between July and October. Katz (1967) also reports this genus from one of her collections. Tabanidae (Horse Flies) Larvae Only 3 larvae belonging to 2 different genera were col- lected of this family. 145. Chrysops sp. larva--l larva collected in June at a culvert in Charlotte Co. Collection: 79. 9 Density: .010 /plant or 5/m . 146. Tabanus sp. larvae- -2 specimens from 2 locations in 2 counties . Collections: 79, 83. Maximum density: .059 /plant or 5/m^ at #83. 115 Tipulidae Larvae 147. Tipulidae larvae (unidentified) - -6 larvae in 5 collections from 4 locations in 2 counties. Collections: 34, 37, 42, 43, 44. These larvae were never common and x^7ere collected only in October and December. Although several were reared to adult stage, none have yet been identified. Katz (1967) reports the genus Helius from 2 of her collections. Diptera- -Unidentified Unidentified Diptera pupae--5 specimens in 4 collections from 3 locations in Alachua Co. Collections: 49, 57, 72, 81. These pupae, belonging to the suborder Cyclorrapha, could not be identified. Since I was not sure even if they repre- sented aquatic species, as opposed to having been washed in from shore or overhanging vegetation, these forms were omitted from my analyses. 116 per plant and per square meter are also ^iven. Similarities or discrepancies with the lists of aquatic insects presented by O'Hara (1961, 1968) and Katz (1967) are mentioned. Any apparent seasonal or locality preferences are also noted. Due to the length of the list, I will include here some general observations on its content. Mayfly nymphs and dobsonfly larvae v;ere uncommon, while moth and caddisfly larvae were rare. Aquatic Hemiptera, comprising 9.27c of the total specimens, were frequently col- lected but usually were not particularly abundant at any site. Of the Diptera, which comprised 23.1% of all specimens, only the chironomid and stratiomyid larvae were frequently collected v/ith the former sometimes being extremely abundant. Several species of damselfly nymphs were frequent, with one species, Ischnura posita , being the most frequently collected aquatic insect species. Sixty- four species of beetles, comprising 45 . 57o of the specimens, were present, with the noterids and several species of dytiscids being abundant and frequent. Table 3 lists the 10 most abundant species (greatest number of specimens) , while Table 4 presents the 10 most frequent species (present in the greatest number of different collections) . The species marked with asterisks obtain oxygen directly from the water. Since waterhyacinth mats frequently have been noted for the complete absence of dissolved oxygen (DO) beneath them (Lynch et al. 1947, Ultsch 1971, 1973), few such forms would be expected. Yet almost 33X of the specimens belonging to the 10 most abundant species utilize DO. This indicates 117 Table 3. Ten most ahundanL insects collected from wa terliyaci nth roots (from 88 collectinns, 1972-1974). Rank 1, 2. 3, 4. 5. 6. 7. 8. 9. 10. Sj)ecJ^es :»Chironomus attenuattis Wali-rpr (Diptera :Ch1 ronomidae) Suphigellus insularis (Sharp) (Col eoptera : Noteridae' Supl-iisellus gibbulus ( A u b e ) ( C o 1 e o p t e r a : N o t e r i. d a e ) *Iscdm_ura posita (HaKen) (Odonata: Coenagri onidae) Hydrovatus compressus Sharp (ColeopteraiDy ti.scidae) ^■Telebasis byersi WestfaJl (Odonata :Coenagrionidae) ii!^iL!:£iiLS iiiy^tus (LeConte) (Coleoptera: Noteridae) "Polypedilum illinoense (Malloch) (Diptera : Chironom. ^ ^■Enallagma s^i_gjij^uin-£ollu_tam complex (Odonata: Coenagri onidae) ''Miathyria marcella (Selys) (Odonata : Libellulidae) % N Col. Total 760 25 13.9 549 33 10.0 3 32 36 6.1 319 47 5.8 2 76 36 5.0 2 20 26 4.0 1 77 23 3.2 ] 56 13 2.8 1 19 22 2.2 116 30 2.1 55.1 ^Denotes dissolved oxygen-breathing form Table 4. Ten most frequent insects collected from wa terbvacint h roots (from 88 collections, 1972-1974). Rank Species 1. '''Iscjrnura pqsj^ta (Hagen) (Odonata :Coenagrionidae) 2- Suphigellus gibbulus (Aube) (Coleoptera :Noteridae) 2. Hydrovatus compressus Sharp (Coleoptera : Oytiscj dae) 2. lixdji'Ciil'Jl^^llH-S. regius Young (Coleoptera : Noteridae) 5. Su2hJ;Se_^us ins_ul£ris (Sharp) (Col eoptera : Noteridae) 6. Pelocoris balius La Rivers (Hemiptera rNaucoridae) 7. '^^Pachj/dipjLax longipennis (Burmeister) (Odonata . -Li bellul . ) 8. Pelocoris femoratu^ (Pallsot-Beauvois) (Hemiptera: Naiicoridae) Myxosargus sp. larvae (Dip tera : Strat iomyidae) Hydrocanthus oblongus Sharp (Coleoptera :Nolerldae) 9. 10. Col. 47 319 36 332 36 276 36 104 33 549 31 107 30 111 29 87 27 79 26 60 ^Denotes dissolved oxygen-breathing form 118 that either the DO measurements are in error or that these insects locate oxygen in some manner, perhaps from gas bubbles on waterhyacinth roots. Insect populations beneath waterhyacinLhs were generally high. Only 7 collections contained less than 10 specimens, whereas one beetle (Suphisellus insularis) was found at a density of 'i'il /m.'^ of waterhyacinth mat and a chironomid 9 (Chironomus attenuatus) was found at a density of 580/m . While certain species had significant correlations with water chemistry parameters, no general water quality prefer- ences xvere noted for larger taxonomic groups. Congeneric species sometimes had completely different x-jater quality pref- erences, perhaps indicating that these parameters act as isolating mechanisms for these species. Usually the biological significance of correlations be- tween pairs of species was ambiguous since direct observa- tions of interaction between the species would be necessary to elucidate the reasons for the relationships. Comparison of my species list with O'PIara's (1961) list, which usually identified aquatic insects only to family level, was noteworthy for O'Hara's omission of certain groups such as noterids, which I found to be extremely frequent and abundant. I believe that he misidentif ied Noteridae as Omophronidae . Inspection of Katz 's (1967) list, where most insects were identified to genera, revealed quite a few probable misidenti- fications, probably due to her reliance on a single set of identification keys (Pennak 1953) which omits many Florida genera, 119 Some species shov/ed definite seasonality in their abun- dance. However, seasonal abundance seemed to vary with the species and generalizations about higher taxon levels such as families or orders do not appear to be valid. For instance^ one beetle species, Hydrovatus compressus , reached peak den- sities during late winter while its congener, H. peninsularis , reached peak densities in late summer. Physical and Chemical Variable Interrelationshi p_s Correlation analyses were run on the physiometric plant measurements and the chemical water quality data. All the numeric data were "normalized" by taking the natural loga- rithms of the values, this log transformation being common in multivariate analyses of aquatic data (Green 1971, Stimac and Leong 1977) . The height of waterhyacinth plants v/as highly signifi- cantly correlated (the p level for significance of the r correlation statistic was .01 or less) with depth and water temperature; had highly significant negative correlations with chlorides, sulphate and sodium; and had significant (p level less than .05) negative correlations with hardness, iron and conductivity. Root length had a negative significant correla- tion with depth, which was positively correlated with height. Thus deeper waters were more likely to have taller waterhya- cinths with shorter roots. This is directly opposite to Coin's (1943) statement that root length varies directly with water depth. The depth of the water had a highly significant 120 correlation with the number of specimens and species, a sig- nificant correlation with magnesium, and significant negative correlations with iron and potassium. As can be seen from Table 5, which presents the correla- tion matrix for the water quality data, almost all the water chemistry parameters are interrelated. This makes analyses of the relationships of these parameters very difficult, since most multivariate statistical procedures assume that the in- dependent variables are linear (orthogonal) in respect to each other, i.e., the independent variables are assumed to be un- correlated. Regression Analyses Stepwise multiple regression analyses of the data for all collections did not reveal any variable or combination of variables which were significant in their effects on the numbers of species or specimens collected. Comparison of Study Sit e s Description Three sites in Alachua County were sampled repetitively during the duration of the study. The most intensively studied area was Camps Canal, which drains a portion of Payne's Prairie into Orange Lake. Located northeast of Micanopy on State Road 234, about 10 meters wide, with steep sides quickly dropping to a depth of 2+ meters, this site had a jam of water- hyacinths at the SR 236 bridge. At the beginning of the o 121 >-, CTl 4d 4J m w 1-3 0) c >-i en o r-< •H 0) y^^ > •rH QJ C r^ tiO 122 growing season this jam consisted of a few patches of plants in front of the bridge, but by early fall the jam stretched over 100 meters upstream. A preliminary collection of aquatic insects was made in August of 1972, with intensive sampling begun in June of 1973. With the exception of late winter and early spring when the waterhyacinths had almost disappeared, another 28 collections were made at 2- to 3-week intervals until the end of 1974. Lake Alice, a shallow lake of about 33 hectares on the University of Florida campus, was the second most intensively sampled site, with 12 collections. A preliminary collection was made in August of 1972, with the others made at odd inter- vals throughout the latter part of 1973 and until August of 197A. Almost all my collections were made from the boardwalk at the east end of the lake where depth vjas usually about 1- l\ meters. Suitability for sampling varied with the season and, more importantly, with the extent of the mechanical and chemical waterhyacinth control measures being used at the time. My third study site was a drainage ditch on the east side of Interstate 75, 3.0 miles north of the Micanopy inter- change. Consisting essentially of a small pond less than 10 meters wide surrounding a 2% meter deep hole, this site was sampled 9 times beginning in July of 1973 when I first dis- covered it. Unfortunately, the encroachment by the water- penny, Hydrocotyle sp., was very rapid and by February 1974 there were few waterhyacinths left. When my last sample was taken in August of 1974, there was only a tiny stand of pure 123 waterhyacinths remaining. Today the site is terrestrial grasses and shrubs with a few cattails in the deep hole. Species List Comparisons Camps Canal was my most intensively studied site and produced 2100 specimens of aquatic insects belonging to 96 species. Table 6 shows the 10 most abundant species and Table 7 shows the 11 most frequently collected species. Diptera larvae, especially chironomids , were exceptionally abundant. Both species of naucorids were frequently col- lected here. Ischnura posita was the most common damselfly here, as it was at many collecting sites, but members of the Enallagma signatum-pollutum complex were also common. By common I mean both abundant and frequent. The noterid Colpius inf latus was the most abundant beetle, and 3 other embers of this family were frequently collected here. This was the only site where hydrophilid beetles were frequent. Caddisfly larvae as well as Megaloptera were collected almost exclusively at Camps Canal. Lake Alice (see Tables 8 and 9) , with 1283 specimens and 55 species, had the greatest percentage of DO-breathing insects of the 3 study sites. It v/as the only study site at which mayfly nymphs made up more than VL of the insects found there. Odonata nymphs were abundant and among the damselfly species, I. posita nymphs were common, although not as common as those of Telebasis byersi , which was uncommon elsewhere. Beetles were the most common group, with Suphisellus m 124 Table 6. Ten most abundant insects collected froni wn terhvacint h roots, Camps Canal (from 29 collections, 1972-197^0. Rflilk Species 10 !• "CALIo^LOFIILS attenuatus Walker (DipterarCIri ronomidae) 2- "Ischnura p_oj3ita (Hagen) (Odonota :Coenagrionidae) 3 . "To lyped 11 urn illinoense ( Ma 1 1 o c h ) ( I) i p t e r a : C 1 1 i r o n o ni . ) 4. Colpius inf latus (LeConte) (Col eoptera : Noteridae) 5. Z_^o_c_oris ballus La Rivers (Hemiptera : Naucoridne) ^ • Suphisell us gibbulus ( Au h r ) ( C o 1 e o p t e r a : N t ) t e r l d a e ) ^- Pelocoris femoratus (Pali sot-Beauvois) (Hemiptera: Naucoridae) 8. "Enallagma signatum-pollutum complex (Odonata: 68 12 3.2 Coenagrionidae) 9. "Parachironomus sp. (Diptera:Chironomidae) Hydrovatus peninsularls Young (Coleoptera :Dy tisc Ldae) % N Col. Totjsl 346 11 16.5 209 16 9.9 ] 38 6 6.6 105 16 5 . 0 8/t 17 4.0 73 11 3.5 71 19 3.4 67 3 3.2 5 7 8 2.7 5 8 J) ^Denotes dissolved oxygen breathing forr Table 7. Ten most frequent insects collected from wa terlivaci nth roots, Camps Canal (from 29 collections, 1972-1974). Rank Species Col^ J^ 1. HvdrQ_eantlms regius Young (Coleoptera : Noteridae) 21 73 2- Pelocoris femoratus (Palisot-Beauvois) (Hemiptera: 19 71 Naucoridae) 3. Pelocoris balius La Rivers (Hemiptera :Naucoridae) 17 84 4. '^Ischnura posita (Hagen) (Odonata:Coenagr i onidae) 16 209 4. Colpius inflatus (LeConte) (Coleoptera:Noteridae) 16 105 6. Myxosargus sp. (Diptera: Stratiomyidae) 14 46 7. *Ejijy-la_gma slgruj_tum-p_ol^^^ complex (Odonata: 12 68 Coenagrionidae) 7. HjoijrocanJ^huj; oy.ojigiJs Sharp (Coleoptera : Noter idae) 12 23 9. *Chironomus attenuatus Walker (Diptera : Ch i ronomidae) 11 346 9. Suphisellus g^ibbulus (Aube) (Coleoptera : Noter idae) 11 52 9. Phaenotum exstriatus Say (Coleoptera :Hydrophi lldae) 11 20 '■Denotes dissolved oxygen breathing form 125 Table 8. Tpii most abundant insects collected from waterhyacinth roots, Lake Alice (from 12 collections, 1972-1974). Rank Species ■'■• Suphlsellus insularis (Sharp) (ColeopterarNoterldae) 2. Hydrovatus compressus Sharp (Coleoptera:Dytiscidae) 3. *Telebasis byersi Westfall (Odonnta: Coenagrionidae) ^- '^-Chironomus aj^tenuatus Walker (Dip tera: Chironomidae) 5. Mesonoterus add end us (Blatclnley) (Coleoptera: Noteridae) ^- *lschnura posita (Ilagen) (Odonata :Coenagrionidae) 7. '''Pachydlplax longipennis (Burmeister) (Odonata: Libel lulidae) ^- Suphlsellus sp. larvae (Coleoptera :Noteridae) 9. ^Callibaetis f loridanus Banks (Ephemeroptera : Baetidae) 10. Myxosargus sp. larvae (Diptera: Stratiomyidae) % N Col. Total 420 12 32.7 175 11 13.6 169 3 13.2 111 9 8.6 62 10 4.8 39 9 3.0 25 4 1.9 23 4 1.8 18 3 1.4 15 7 1.2 82.2 *Denotes dissolved oxygen breathing form Table 9. Ten most frequent insects collected from v.'n terhyacin th roots. Lake Alice (from 12 collections, 1972-1974). Rank S])ecies Col. -'-• Suplrisellus insularis (Sharp) (Coleoptera :NoterIdae) 1. '-'^lelebasis byersi Westfall (Odonata: Coenagrionidae) 3 . Hydrovatus compressus Sharp ( C ( "> 1 c o p t e r a : D y t i s c j d a (.^ ^' Mesonoterus add end us (Blatchley) (Coleoptera :Noteridae) 5. "Ischnura p_osi_ta (Hagen) (Odonata :Coenagrionidae) -' ' Hydrocanthus regius Young (Coleoptera :Noteridae) 7. Myxosargus sp. (Diptera : Stra ti omyi dae) 7. T_c'_itH;or^.Ls baliu^ La Rivers (Hemipt era :Naucor idne) 9. *Chironomus attenuatus Walker (D ip tera : Chironomidae) 10. Celina sp. larvae (Coleoptera :I)ytiscidae) 12 420 12 169 11 175 10 62 9 39 9 14 7 15 7 9 6 111 5 10 *Denotes dissolved oxygen hreattiing. fi 126 insularis the most common insect at this site. Almost 90% of all the specimens of another noterid, Mesunoterus addenclus , were collected here. A total of 661 specimens belonging to UG species was collected at the 1-75 drainage ditch site. Table 10 presents the 10 most abundant species and Table 11 shows the 10 most frequently collected species at this site. Probably the most noteworthy point is the frequency and abundance of the Helodi- dae beetle larvae belonging to the genus Ora. This genus was not found at any other site. The larvae of Sc_irt_es, another helodid, were also common here but uncommon everyvjhere else. The relatively high abundance of Culex tx^rritans , a genus of mosquito which was not collected elsewhere, is probably due to the hatching of a single egg raft. The noterid beetle, Suphisellus puncticollis , was also relatively abundant here, with almost half of the 44 specimens of this species being collected at this site. This site had relatively fewer DO- breathing forms (noted with an asterisk), perhaps indicating a greater tendency towards anaerobic conditions. The use of discriminant analysis demonstrated that the different abundances of these various species of insects were not due to chance. By performing a liotelling T"^ test on the generalized squared distance to the group, an F-value for testing the significance of difference between any 2 groups could be evaluated (Morrison 1967) . In this manner it was found that the abundances of the insect species at Camps Canal were highly significantly different from those at both Lake Alice and the drainage ditch. Lake Alice was significantly 127 Table 10. Ten most abundant insects coJlectcd from wnterlivac i ntli roots, 1-75 drainage ditch (from 9 collections, J 972-1 974). Rank I'PA'^jes Suphlsellijs gibbulus (Aube) (Coleopt era: Noteridae) C^ra spp. larvae (Coleoptera rllelodidae) *lschnura poslta (Hagen) ((Hlonata: Coenagr ionidae) Belostoma sp. nymphs (Hem i ptera :Belos toma tidae) Scirtes sp. larvae (Coleoptera rHelodidae) Culex territans Walker (D,i pt erarCulic idae) Suphisellus puncticollis Crotch (Coleoptera rNoteridae) Colpius inf latus (LeConte) (ColeopterarNoteridae) Hydrovatus peninsularis Young (Coleoptera : Dytisr idae) Belostoma testaceum (Leidy) (llemipterarBelostomat idae) % N_ Col. Total 233 7 35.2 92 8 13.9 39 6 5.9 34 4 5.1 25 5 3.8 24 1 3.6 2 1 5 3.2 20 3 3.0 16 5 2.4 ]5 6 2.3 ''"Denotes dissolved oxygen breathing form Table 11. Ten most frequent Insects collected from wa ter hvac i n th roots, 1-75 drainage ditch (from 9 collections, 1972-1974). Rank Species 1. Ora spp. larvae (Coleoptera :Helod idae) 2. Suphisellus gibbulus (Aube) (Coleopte ra :Noteridae) 3. >'clschnura posita (Hagen) (Odonata:Coenagrionidae) 3. -ATelebasis byersi Westfall (Odonata rCoenagrlonidae) 3. Belostoma testaceum (Leidy) (Hemlptera rBelostomatidae) 6. Scirtes sp. larvae (Coleoptera:Helodidae) 6. Suphisellus puncticollis Crotch (Coleoptera :Noteridae) 5. Hydrovatus peninsularis Young (Col eoptera :Dytiscidae) 9. Belostoma sp . nymphs (Hemiptera:Belos tomatldae) 10. "'I'illXEfL^iliEl illinoense (Malloch) (Diptera rChironomidae) Col. N 8 92 7 233 6 39 6 13 6 11 5 25 5 21 5 16 4 34 4 4 'Denotes dissolved oxygen breathing form 128 different (and just shy of being highly significantly differ- ent) from the drainage ditch. These comparisons were based on the abundances of only the 10 most frequent species overall (see Table 3). As the last part of the discriminant analysis, the SAS program classifies each collection as to which site it should have come from based on the abundances of these 10 species. Only 3 collections (2 from the drainage ditch, 1 from Lake Alice) out of the 50 were classified incorrectly. This technique with its ability to discriminate between 3 similar, eutrophic, waterhyacinth-f illed , aquatic sites, based just on the abundances of 10 species of insects, could have a very real practical value for those engaged in monitoring and classifying aquatic ecosystems. Only a relatively few fre- quently-encountered species would have to be identified in order to compare an aquatic ecosystem witli others or with pre- vious collections from the same site. The need for locating certain bioindicators of water quality or the measurement of dynamic, rapidly fluctuating water chemistries would be elim- inated. Estimation of Total Number of Spe c i e s Plots of the cumulative number of species versus the cumulative number of specimens were made for each of the study sites. After obtaining estimates of b and of S--, the estimated number of species in the study area, through the procedure discussed in the methods section, an exponential curve was fitted to the data using SAS PROG NLIN. The Marquardt method, 129 a least-squares approach, was used for the fitting of the curve, although the other optional methods gave virtually identical curves. The F-value for the goodness of fit was over 150, extremely significant, for all 3 curves fitted in this manner. As can be seen from Fig. 3, the species accumulation curve for Camps Canal becomes asymptotic at a value of 90.2 species. The standard error for the estimated asymptote is 1.78, V7ith the 957o confidence interval being S- + 2 standard error. Since 96 species were actually found at Camps Canal, this gives a sampling efficiency of 106.57.. Several factors help explain why the predicted number of species is lower than the actual number of species found. The least squares approach and most other statistical methods of curve fitting will usually, if the variation in the data is similar, result in a line where approximately an equal number of points are above and below the curve. In this case some of the points above the curve are near the end where the curve becomes asymptotic. This statistical approach to fitting a curve makes no assumptions as to the distribution of specimens among species or minimum level for the asymptote. Another factor leading to a low estimate of total species is the abrupt addition of seasonal and possibly even succes- sional forms. As can be seen from Fig. 3, the number of species begins to increase in the beginning of May (point A), starts to level off by late June (point B) , and stays at a steady level of species until the end of August (point C) . The new species, 130 .< c m OJ n hd n3 •H o a OJ CO (X a w Id m >u C) n M yi o 0) >-!■-( X) H Q) ::) > d M :i cu o > 3 d H r-l d d u H d o a, ;3Toads jo .i.-xjuinu nAriie^nuirrj 131 a I- •r 1 u IJ cl 0 B o o cfl soioacis o a- ."jiiinu OA J :)i? [luii;;-) 132 c 0) 0) M B •rl C U •H 0) nJ Q- >-i w x) M-J m O r~- U H 0) XI !-( E o B iw c Q) (U > > U •H ^) u o cfl 1— 1 c :3 o K •r-( d •U u CT) ,-( ::) 0 (J o rt w c t a v G Number of specimens per species ')! Figure 7. Species abundance curve for Lake Alice, visually fitted. 137 10 K) O U m S 1 ;' i •'; S f> / ;; ocl. nvf 2 /i 8 ic r' r,,'', ];'!; ■>',(, Number of specimens per species Figure 8. Species abundance curve for 1-75 drainage ditch, visually fitted. 138 niately 9, resuJ. Ling in a value of 79.8 species for the esti- mate of S*. This also is much higher than the 52 species estimated by the previous method or the 5 3 species actually collected. The calculated sampling efficiency now drops to 68.97o. The species abundance for the 1-75 drainage ditch is shown in Fig. 8. The number of species in the modal octave is approximately 8, which results in an estimated 70.9 species This again is much more than the previously estimated S" of 5]. .5 species or the 46 species actually collected. Sampling efficiency for this site then becomes 64.97o. While previously the estimated sampling efficiency was nearly 100% for all 3 sites, this figure drops down to under 707o using this crude approximation of Preston's lognormal curve method. If the actual value of a had been 0.227 (a value observed by Preston, 1948), then sampling efficiency would have increased to around 75%. Thus the high estima- tion of total species present at the sites may be partly due to assuming a low value of a. Another reason why species abundance mettiod yields such high estimates of S-'' may be be- cause a static relation between abundances of the various species is implicitly assumed. Thus, in estimates based on short-term collecting, seasonal and other variations affect- ing the relative proportioTis of species are magnified, result- ing in a higher S"--. Also, no doubt, there are probably some extra species in the collections v;hich could not be deter- mined because they v;ere larval forms or pupae. However, these 139 few species would have a. minimal effect. A long-term study of many years, like most of the data analyzed by Preston, would smooth out seasonal variations and add new species and help confirm or refute the validity of this method. Both the species abundance curve metliod and especially the species accumulation curve method could be employed to answer some interesting general ecological questions concern- ing species-area relationships as well as problems about the aquatic insect community of x-zaterhyacinths . By collecting aquatic insects fairly intensively at 10 or more v/aterhya- cinth communities in Florida whose area of infestation is kno\^7n , an estimate of the number of species at each site could be made. Plotting the number of species versus the log of the area would allow comparison with MacArthur and Wilson's (1967) predicted relationship between the number of species and the size of islands. If this procedure were then repeated in Argentina, the probable point of origin for waterhyacinths , and the slopes of the lines compared, evidence would be provided of whether the aquatic entomofauna of waterhyacinths has reached species saturation, since the introduction of wa terhyacinth approxi- mately 90 years ago. Saturation would be indicated if the number of species of aquatic insects in v/aterhyacinth communi- ties in Florida was approximately the same as the number of species in Argentinian waterhyacinth communities of the same size. Strong (1974a) has indicated that tree insects in Britain reach saturation levels of species on trees within 140 300 years of their introduction of a new tree species. He (1974b) also has shovm that the insect pests of cacao probably saturate within 72 years of the introduction of this plant to a nexv' geographical area. Thus saturation of the number of aquatic insect species beneath v;aterhyacinths could have occurred in less than 100 years. Factors Affecting the Number of Species and Genera I\^ile stepwise multiple regression analyses of the data from all 88 collections revealed no significant variable or combination of variables which affected the number of species or specimens found, when the sites were considered separately this was no longer the case. Stepwise multiple regression analysis differs from simple multiple regression analysis in that each variable being considered is entered one at a time and its contribution to explaining the variation is then tested. Simple multiple regression forms a model consisting of all the variables being considered and then tests for sig- nificance. Since many variables do not liave a significant effect, their addition to the model just adds "noise" and reduces the amount and significance of the variation explained. 2 The maximum R improvement method of stepv;Lse regression, the method I used, calculates the amount of variation ex- 0 plained, R'- , tor all possible models having that many vari- ables before adding another variable to the model (see Barr et al. 1976) . Using this method, a liighly significant model for the number of species found at Camps Canal v/as : 141 species = 14.229 + 16.448(iron) - .323(root length). This model of the dependence of the number of species on the level of iron in the water and shorter root length explained 58.21 of the variation and was significant at p=.0083 level. The number of genera present at Camps Canal was significantly dependent only on the level of iron: genera = 12.307 + 13 . 538 (iron) . At Lake Alice the number of species present was dependent at a highly significant level (p=.0016) on the height and root length of the waterhyacinths : species = 15.873 - .133(height) + .216(root length). The number of genera at Lake Alice was similarly explained: genera = 17.083 - .136 (height) + .158 (root length). No significant combination of variables was found to explain the number of species and genera at the drainage ditch site. Diversity Studies General If one assumes that the distribution of individuals among species, i.e., the relative abundances of species, is significant, it would be of interest to determine what factors influence it. As I have demonstrated in the previous section that the differences in the numbers of individuals 142 among different species at different sites were highly sig- nificant, a single statistic which expresses that relation- ship between number of individuals and number of species would be of great value in determining what factors influence this difference between distributions. An obvious choice is the use of a species diversity index, especially one that in- cludes components for both richness and equitablility . Such indices are commonly used to determine the effects of various factors on the species composition of a community. Wilhm and Dorris (1968, Uilhm 1972) liave demonstrated the use of Shan- non's diversity index for stream insects in determining stream pollution, while Allan (1975) has used diversity of aquatic insects as a means of detecting the effects of altitude and substrate size. Because the controversy about the choice and applicabil- ity of the various diversity indices m.ade an a priori selection of a single index difficult, I used Shannon-Weaver's H', Simp- son's D, and the rarefaction index E(S^). The rarefaction in- dex was calculated at two levels, n=10 and n=25 . As a check and for comparison purposes, the number of specimens per species, SPCMII/SPP, was also used. Table 12 presents the aver- age values for these diversity indices at my 3 study sites and for all 88 collections. Duncan's multiple range test revealed no significant differences betv\'een the means of any single in- dex at the 3 studv sites. Dependence on Sample Size In order to facilitate comparison between different col- lections, a diversity index should be independent of the 143 0) oi :3 o > O -I- 1 0) to CO C.J :i W) r-l c 01 ■H > 4J a w QJ p; ^ :^ -^ 0) o Q ■<^ ^j- LTl m -.t o m o 1) o> .-1 CO W tH • a> • CnI • CO d a o> ^ a) QJ )-> x) CTJ d - o d o en ■ r^ en CJ +1 II LO d en LO CO d Oi OJ (X) •oo en \D +1 II +1 II o d CO CO d • 30 ,-( OJ o c» • OJ Or-I en C-J ■ r-l r-l 00 + 1 II -h II +' II +1 II OJ d LO r- d OJ •OJ • CO o OJ O ,-f cr> C7^ O CO +1 11 +1 II +1 11 +1 II in d en d r- d cr^ 4-) ,—1 QJ r-l r-t a B CO O 00 O v_x 144 numbei- of specimens. However, inspection of the correla- tions between the indices I used and the number of specimens revealed that this was not always the case. Shannon's in- dex had a significant correlation and specimens per species were highly significantly correlated ivith the log-transformed values of the number of specimens, while the 2 rarefaction indices both had high negative correlations. When the un- transformed values for the number of specimens was used, the significances of the correlations were the same except for Shannon's index, which no longer showed a significant relation to the number of specimens. Only Simpson's index consistently showed no correlation to sample size. Relations to Plant Part Size, Depth, and Time of Year Stepwise multiple regression of the waterhyacinth morpho- metric measurements (root length, height, root-shoot ratio), time of year and depth, on the various diversity indices re- vealed no significant relationships v/hen the data from all 88 collections were used. However, when the data for each study site were considered separately, several significant and highly significant relations were discovered. This would indicate that the effects of any variable upon a diversity index are not constant but vary from location to location. Thus the length of waterhyacinth roots had a significant negative effect on Shannon's index at Camps Canal but a highly signifi- cant positive effect on this same index at Lake Alice. No significant relation to Shannon's index with any combination of the 5 variables being tested was found for the 1-75 ditch 145 study site. However, at this site, depth had a significant effect on Simpson's index, which showed no significant rela- tionships to any of these variables at the other 2 sites. The rarefaction indices were found to be negatively related at a highly significant level with depth of water at Camps Canal, positively related at a highly significant level with root length at Lake Alice, while no significant relationships were revealed at the 1-75 ditch study site. The number of specimens per species was not significantly related to any combination of the 5 variables at Lake Alice. At Camps Canal a 2-variable model, positive root length and depth, showed a highly significant effect in explaining the variation in specimens per species, while at the 1-75 ditch this variation was explained at a highly significant level by a model influ- enced positively bv root length and negatively by height. It should be noted that even highly correlated variables such as depth and root length were used in these analyses. Stepwise regression analysis, in effect, compensates for cor- related variables. If a variable is entered into the model, the variation explained by that variable is similar to that explained by the variables correlated with it. Thus a cor- related variable would explain little additional variation and is usually not entered into the model until much later steps. For (.his reason, the statisticians at the University of Florida advise me that the use of all variables, including correlated ones, is justified in stepv;ise regression analysis (Dr. Ramon Lit tell, Ilr . I^alter Of fen , personal communications.) 146 Relationships to Water Quality Parameters Stepwise multiple regression analvsis was also used to ascertain possible relations of water quality parameters to the various diversity indices. All 13 water quality param- eters were included in the analyses. The 5 plant and site variables previously analyzed and the number of petioles per plant and the number of plants per meter were also included in the analyses. In this manner not only would the indirect effect of plant-water quality interactions be taken into ac- count, but the relative importance of any variable could be judged by when it appeared in the model. As in the previous stepv/ise regression analyses, a model was considered significant if the amount of variation ex- plained was significant, i.e. the p-level for r was less than .05, and if the coefficients for all the parameters in- cluded in the model were also significant. The model chosen as the "best" model was one which had the lowest p-level for r" and still had significant coefficients for all the param- eters included in the model. VJater quality data were available only for 34 of my collec- tions. Camps Canal had 12 collections with these data , while Lake Alice and the 1-75 ditch did not have enough to be ana- lyzed separately. Klien all 34 collections having water quality data were analyzed, the results were not particularly enlightening. Either no significant model was found or a great number of parameters were included in the "best" model, making 1A7 interpretation difficult. As noted in the previous analysis, a variable does not necessarily have the same effect on diversity at different locations. I^Jhen Camps Canal was con- sidered separately, fewer variables were required to provide the "best" model. Table 13 lists the 4 most important param- eters affecting diversity at Camps Canal and overall. In- spection of the list provides some interesting generaliza- tions. Most noteworthy was the importance of alkalinity (or one of the variables, such as pH or hardness, highly corre- lated with alkalinity) in its effects on diversity indices. Higher diversity was associated with loxi/ levels of alkalinity or one of its correlated parameters. Higher diversity was associated with high levels of iron, at least at Camps Canal. Root length and plant height were less important than water quality parameters, not appearing anj^where on the list. Conclusions- -Choice of Indices All of the diversity indices showed extremely high correlations (p=.0001 or less) with one another, yet they did not respond the same way. The rarefaction diversity indices V7ere most sensitive to environmental parameters but, unfortunately, also to sample size. None of the indices was adequate in distinguishing between the three study sites. Since discriminant analysis could distinguish these sites on the basis of just the abun- dance of 10 species, this would indicate that the information lost by combining the species distributions into one statis- tic negates its usefulness as an analytical tool. 14 r, ,_, n C •r-l c/0 CJ W X 01 OJ >-l T3 en r; oi 1— 1 r 1 ClJ 1 — 1 ■r) II a C w ,-\ - Q ^ c c IJ t/i •H n ro B u XI a m _ t~ pr) r, Cl c r. fl Ul Oi O a> o 149 Van Emden and VJilliains (1974) , Pielou (1969) and others have questioned the wisdom of combining species richness and species equitability into one statistic. Thus, species rich- ness may be decreasing, but because the rare species are disappearing, species evenness may be rising, resulting in no change in the value of the index. A separate calculation for richness component would be recommended, especially with the use of a richness index such as the rarefaction index. However, most of the existing measures of evenness have been criticized, with especially concise arguments being offered by Sheldon (1969), DeBendictis (1973) and Peet (1974, 1975). Edden (1971) offers an intuitively appealing measure of even- ness based on the lognormal distribution. However, the dif- ficulty of fitting a lognormal curve has already been discussed. Stout and Vandermeer (1975) , who calculated the total number of species expected at a site using species-area rela- tionships, state "Vie can see no justification for computation of H or equitableness or evenness in spite of the current popularity of such computations in the ecological literature" (p. 269). I basically agree with them. Calculating the estimated total number of species at the collecting site would be the recommended approach. However, if some type of diversity index is necessary, such as for comparing single collections for v;hich total number of species cannot be cal- culated, I would choose the rarefaction index primarily be- cause of its ease of interpretation and intuitive appeal. SUMIARY A total of 5485 aquatic insects were collected from 37 different tnonotypic waterhyacinth communities in 18 Flor- ida counties. At least 147 species of insects were identi- fied and the identifications confirmed by experts. Aquatic insects were numerous at most sites and although the low level of dissolved oxygen (DO) beneath waterhyacinth mats has often been noted, DO-breathing forms were frequent and abundant. The most abundant families of insects were midge larvae (Chironomidae) and the burrowing v/ater beetles (Noter- idae) . The abundances of individuals in each species has biological significance since discriminant analysis dis- tinguished the 3 repetitively sampled study sites from each other based on the abundances of the 10 most frequent in- sect species. The estimated total number of species at each of the 3 study sites v;as approximately equal to or less than the total number of species actually collected when the species accumulation curve method xv-as used for the estimates. Using Preston's (1948) lognormal distribution method of construct- ing a species abundance curve to estim.ate the total number of species resulted in estimates which indicated that approx- im.ately 707.^ of the available species actually had been col- lected. 150 15: Three different diversity indices were calculated with the hope that reduction of relative species abundances to a single statistic would help in determining the effects of various environmental parameters on these abundances. All 3 indices indicated a relation betv/een increased diversity and lower values of alkalinity and the parameters strongly correlated with it. Higher levels of iron increased diver- sity, at least at the Camps Canal site. Hov/ever , these in- dices were incapable of distinguishing the 3 study sites, indicating a loss of information in combining species abun- dance information into a single statistic. The utility of diversity indices appears to be limited. If the total num- ber of species in the sample area cannot be estimated, the use of a diversity index to compare collections may be jus- tified. In such a case I would recommend the rarefaction diversity index E(Sj^) because of its intuitive appeal, ease of interpretation and sensitivity to effects of environmental parameters . REFERENCED CITED Agostini, G. 1974. El genero Eichhornia (Pontederiaceae) in Venezuela. Acta Bot . VenezueTTca 9 (1 =4) : 303-310 . Allan, J. David. 1975. The dis Lributional ecology and diversity of benthic insects in Cement Creek ,'' Colorado Ecology 56:1040-1053. Andres, L. A., and F. D. Bennett. 1975. Biological control of aquatic weeds. Annu . Rev. Entomol. 20:31-45. Anonymous. 1896. Clogged by hyacinths - Navigation on the St. Johns, Florida, seriously obstructed. The Sun [newspaper], New York, Sept. 20, 1896. Anonymous. 1966. Composite list of weeds. Weeds 14(4)- 347-386. Barber, M. A., and T. R. Hayne. 1925. l/ater hvacinth and the breeding of Anopheles. U. S. Public Health Serv Rep. 40(47) : 2557-2562. Barr, A. J., J. H. Goodnight, J. P. Sail and J. T. Helwig. 1976. A user's guide to SAS 76. SAS Institute, Raleigh N. C. 329 pp. Bennett, F. D. 1967. Notes on the possibility of biological control of the water hyacinth Eichhornia crassipes. PANS 13(40:304-309. — Bennett, F. D. 1968a. Insects and mites as potential con- trolling agents of water hyacinth (Eichhornia crassipes (Mart.) Solms.). Proc. 9th Brit. Wee^^ontrol ConFT 832-835. Bennett, F. D. 1968b. Investigations on insects attacking water hyacinths in Florida, British Honduras and Jamaica. C.I. B.C. Report (unpublished). 9 pp. Bennett, F. D. 1970. Insects attacking water hyacinth in the West Indies, British Honduras and the U.S.A. Hya- cinth Control J. 8(2): 10-14. Bennett, F. D. 1972. Survey and assessment of the natural enemies of water hyacinth, Eichhornia crassipes. PANS 18(3) :310-311. ^ 15; 153 Bennett, F. D. 1974. Biolof;;ical control. Pages 99-106 in D. S. Mitchell, ed. Aquatic vegetation and its use arid control. UNESCO, Paris. Bennett, F. D., and H . Zwolfer. 1968. Exploration for natur- al enemies of the water hyacinth in northern South Amer- ica and Trinidad. Hyacinth Control ,J . 7:44-52. Berner, Lewis. 1950. The mayflies of Florida. Univ. of Florida Press, Gainesville, Fla. 267 pp. Berner, Lewi.s . 1968. Ephemeroptera . Pages Hl-ri9 in Frank K. Parrish, ed. Keys to water quality indicative organ- isms (Southeastern United States) . Federal Hater Pollu- tion Control Admin. U. S. Dept. Agri . Blackburn, R. D. 1974. Chemical control. Pages 85-98 in D. S. Mitchell, ed. Aquatic vegetation and its use~and control. UNESCO, Paris. Blatchley, W. S. 1914. Notes on the winter and early spring Coleoptera of Florida, with descriptions of new species. Canad. Entomologist 45:61-66, 88-92, 140-144, 247-251. Blatchley, W. S. 1925. Notes on the dis tril^ution and habits of some Florida Coleoptera, v;ith descriptions of new species. Canad. Entomologist 57:160-168. Blatchley, W. S. 1932. In days agone : Notes on the fauna and flora of subtropical Florida in the days when most of its area was primeval wilderness. Nature Publ. Co., Indianapolis. 338 pp., 14 pis. Bock, J. H. 1966. An ecological study of Eichhornia eras- si pes_ with special emphasis on its reprocTucEive^biology . Ph.D. dissertation in botany, Univ. of California. 175 pp. Boyd, C. E. , and E. Scarsbrook. 1975. Influence of nutrient additions and initial density of plants on production of vjaterhyacinth, Eichhornia crassipes. Aquatic Bot. 1(3):253-261. ' Brillouin, L. 1960. Science and information theory. 2nd ed. Academic Press, New York. 320 pp. Buckman , H. H. 1930. A report on an investigation of the water hyacinth for the City Commission of Jacksonville, Florida. Buckman and Co., Engineers, Jacksonville, Fla. 41 pp. Bullock, J. A. 1971. The investigation of samples contain- ing many species. I. Sample description. Biol. J. Linn. Soc. 3:1-21. 15A Burkhnlter, Alva P. 19 7<^i. Aquatic weed identification and control manual. Bureau of Aquatic Plant Research and Control. Florida Dept. Natural Resources. 100 pp. Byers. C. Francis. 1930. A contribution to the knowledge of Florida Odonata. Univ. of Florida Press, Biological Science Series, 1(1):3.?7 pp. Carpenter, Stanley J., and Walter J. LaCasse. 1955. Mosqui- toes of North America (north of Mexico) . Univ. of California Press, Berkeley. 360 pp., 127 pis. Cason, James H. 1970. Lake Alice--A studv of potential pol- lution of Florida aquifer. The Compass 47 (4) : 206-210 . Center, Ted. D. 1976. Pot;ential of Arzama dens a (Leipdoptera Noctuidae) for the control of watcrKyacinth with special reference to the ecology of waterhyacinth (Eichhornia crassipes (Mart.) Solms) . Ph.D. dissertation, Univ. of Florida, Gainesville. 334 pp. Center, Ted D., and J. K. Balciunas. 1975. The effects of water quality on the distribution of alligator weed and v/ater hyacinth. Integrated program for alligator weed management. U. S. Army Engineer, Waterways Experiment Sta., Vicksburg, Miss." Tech. Report No. 10:B1-B13. Chadwick, J. J., and M. Obeid. 1966. A comparative study of the growth of Eichhornia crassipes ami Pistia stratiotes in water culture. J. Ecol.' 54:563-575. Chandler, Harry P. 1956. Mcgaloptera. Pages 229-233 in R. L. Usinger, ed. Aquatic insects of California. Univ. of California Press, Berkeley. Chapman, H. C. 1958. Notes on the identity, habitat and distribution of some semi-aquatic Hemiptera of Florida. Fla. Entomol. 41 (3) : 117- 124 . Charudattan, P. 1975. Use of plant pathogens for control of aquatic weeds. Ecol. Res. Serv. , U. S. E.P.A. 660-3-75- 001:127-153. Cody, Martin L., and Jarcn M. Diamond. 1975. Ecology and evolution of communities. Belhnap Press of Harvard Univ. Press, Cambridge, Mass. 545 pp. Cook, C. D. K. , B. J. Gut, K. M. Rix, J. Schneller, and M. Seitz. 19 74. Water plants of the world. A manual for identification (if t:he genera of freshwater macro- phytes. Dr. W. Junk b.v.. Pub., The Hague. 561 pp. 155 Coulson, Jack R. 1971, Proj'.nosis for control of water hya- cinth by arthropods. Hyacinth Control J. 9(1): 31-3-^. Cuyler, R. Duncan. 1958. The larvae of Chauliodcs latreille (Megaloptera ; Corydalidae) . Ann. Entomol . Soc7 AmeF^ 51(6) :582-586. DeBenedictis , Paul A. 1973. On the correlations between certain diversity indices. Amer . Natur. l''^7(954)- 295-302. Del Fosse, Ernest S. 1975. Interaction between the waterhy- acinth mite, Orthogalumna terebrantis Wallwork, and the mottled weevil^ Neochetina eichhorniae Warner. Ph.D. dissertation, UnTv'. of Florida, GaTne¥ville. 193 pp. DeLoach , C. J. 1975. Identification and bioloj^ical notes on the species of Neochetina that attack Pontederiaceae in Argentina. Coleop. BuIT. 29 (4) : 25 7-265 . Dymond. G. C. 1948. The water-hyacinth: a Gindcrella of the plant world. Pages 221-227 in .1 . P. J. Van Vurens , ed. Soil fertility and sewage. Faber and Faber, Ltd., London . Edden, A. C. 1971. A measure of species divorsitv related to tlie lognormal distribution of individuals among species J. Exper. Mar. Biol. Ecol. 6:199-20^5. Fager, E. VJ. 1972. Diversity: a sampling studv. Amer. Natur, 106(949) :293-310. Ferguson, Frederick F. 1968. Aquatic v;eeds and man's well- being. Hyacinth Control J. 7:7-11. Freeman, T. E., F. W. Zettler and R. Charudattan, 1974. Phytopathogens as biocontrols for aquatic v.^eeds . PANS 20(2)':181-184. Coin, C. J. 1943. The lower vertebrate fauna of the water hvacinth community in northern Florida. Proc . Fla. Acad. Sci. 6 (3-4) : 143- 153 . Good, I. J, 1953. The population frequencies of species and the estimation of population parameters. Biometrika 40:237-264. Gordon, Robert D., and J. R. Coulson. 1969. Report on field observations of arthropods on water hyacinth in Fla., La., Tex. Aquatic Plants Control Prog., U. S, Army Engineer, Vicksburg, Miss. Tech. Rep. 6:B3-B37. 156 Gowanloch. James Nelson. 19A4. The economic status of the water hyacinth in Louisiana. La. Con.servationis t 2- 3, 6, 8. Green, Roger H. 1971. A multivariate statistical approach to the Hutchinsonian niche: bivalve mulluscs of Central Canada. Ecology 52 (4) : 543-556 . Haller, William T., and D. L. Sutton. 1973. Effect of pH and high phosphorus concentrations on growth of water- hyacinth. Hyacinth Control J. 11:59-61. Haller, W. T., E. B. Knipling and S. H. West. 1970. Phos- phorous absorption by and distribution in water hya- cinths. Proc. Fla. Soil and Crop Sci. Soc . 30:65-68. Hansen, K. L., E. G. Ruby and R. L. Thompson. 1971. Trophic relationships in the water hyacinth community. Ouart. J. Fla. Acad. Sci. 34(2) : 107-113 . Heck, K. L. , Jr., G. van Belle and D. Simberl of f . 1975. Explicit calculation of the rarefaction diversitv mea- surement and the determination of sufficient sample size Ecology 56:1459-1461. Herring, Jon L. 1948. Taxonomic and distributional notes on the Hydrometridae of Florida (Hemiptera) . Fla. Entomol. 31(4) :112-116. Herring, Jon L. 1950a. The aquatic and semiaquatic Hemiptera of northern Florida. Part 1. Gerridae. Fla. Entomol. 33(1) :23-32. Herring, Jon L. 1950b. The aquatic and semiaquatic Hemiptera of northern Florida. Part 2: Veliidae and flesoveliidae . Fla. Entomol. 33(4) : 145- 150 . Herring, Jon L. 1951a. The aquatic and semiaquatic Hemiptera of northern Florida. Part 3: Nepidae, Belos tomatidae , Notonectidae , Pleidae and Corixidae. Fla. Entomol. 34(1) :17-29. Herring, Jon L. 1951b. The aqiaatic and semiaquatic Hemiptera of northern Florida. Part 4: Classification of habi- tats and keys to the species. Fla. Entomol. 34(4) :146- 161. Hitchcock, A. E., P. W. Zimmerman, H. Kirkpatrick, Jr. and T. T. Earle. 1949. Water hyacinth: its growth, repro- duction and practical control by 2,4-D. Contrib. Boyce Thompson Inst. 15 ( 7) : 363-401 . 157 Hitchcock, A. E., P. \-l . Zinmierman , II. Kirknatrick, Jr., and T. T. Earle. 1950. Growth and reproduction of water hyacinth and alligator weed and their control by means of 2,4-D. Contrib. Boyce Thompson Inst. 16 (3) : 91- 130 . Holm, L. G. , L. W. Weldon, and R. D. Blackburn. 1969. Aquatic weeds. Science 166:699-709. Horn, G. H. 1880. Synopsis of the Dascyllidae of the United States. Trans. Amer. Entomol . Soc . 8 : 76-114 . Hurlbert, Stuart H. 1971. The nonconcept of species diver- sity: a critique and alternative parameters. Ecoloev 54:577-585. Ingersoll, Jean M. 1964. Historical examples of ecological disaster: The water hyacinth; the copper basin. Office of Civil Defense, Dept. of Defense, Report HI-360-RR/A1- 2 . Johnson, Clifford, and Minter J. Westfall, Jr. 1970. Diag- nostic keys and notes on the daniselflies (Zvgoptera) of Florida. Bull. Fla. State Hus. 15(2):45-89. Katz, Edith E. 1967. Effects of the chemical eradication of water hyacinths on associated aquatic fauna. M.S. thesis, Stetson Univ., Deland, Fla. 52 pp. Kelsey, H. P., and W. A. Dayton. 1942. Standardized plant names J. Horace McFarland Co., Harrisburg, Pennsylvania. 675 pp. Klorer, J. 1909. The water hyacinth problem. J. Assoc. Eng . Soc. 42:33-48. Knipling, E. B., S. H. West and W. T. Haller. 1970. Growth characteristics, yield potential, and nutritive content of water hyacinths. Proc. Fla. Soil and Crop Sci. 30: 51-63. La Rivers, Ira. 1948. A new species of Pelocoris from Nevada, with notes on the genus in the United States. Ann. Entomol. Soc. Amer. 41:371-376. La Rivers, Ira. 1970. A new species of Pelocoris femoratus (Pal isot-Beauvois) from Florida (Hemiptera : Naucoridae}".' Biol. Soc. Nev. Occas. Papers 26:1-''^-. Leech, H. B., and H. P, Chandler. 1956. Aquatic Coleoptera. Chap. 13 in R. L. Usinger, ed. Aquatic insects of Cali- fornia. Univ. California Press, Berkeley. Lynch, J. J., J. E. King, T. K. Chamberlain, and A. L. Smith, Jr. 1947. Effects of aquatic vjeed infestations on the fish and wildlife of the Gulf states. U. S. Dept. Interior, Fish/Wildlife Serv., Special Sci. Report No. 39. 158 MacArthur, R. H., and E. 0. VJilson. 1967. The tlieory of island biogeography . Princeton Univ. Press, Princeton N. J. 204 pp. Margalef, R. 1969. Diversity and stability: a practical proposal and a model of interdependence. Brookhaven Symp. Biol. 22:25-37. May, Robert M. 1975. Patterns of species abundance and diversity. In, M. L. Cody and J. M. Diamond, eds . Ecology and evolution of communities. Belknap Press of Harvard Univ, Press, Cambridge, Mass, McFadden, Max W. 1967. Soldier flv larvae in America north of Mexico. Proc. U. S. Nat. Mus . 121 (3569) : 1-62 . Mcintosh, Robert P. 1967. An index of diversity and the relation of certain concepts to diversity. Ecology 48(3) :392-404. Mitchell, D. S. 19 74. Aquatic vegetation and its use and control. UNESCO, Paris. 135 pp. Monk, C. D. 1967. Tree species diversity in the eastern deciduous forest with particular reference to north central Florida. Am. Natur. 101:173-187. Montgomery, B. E. 1944. The distribution and relative sea- sonal abundance of the Indiana species of Agrionidae Proc. Ind. Acad. Sci. 51:273-278. Morris, R. F. 1960. Sampling insect populations. Annu. Rev. Entomol. 5:243-264. Morris, Thomas L. 1974. Water hyacinth Eichliornia crassipes (Mart.) Solms : Its ability to invade aquatic ecosys- tems of Payne's Prairie Preserve. M.S. "thesis, Univ. of Florida, Gainesville. 135 pp. Morrison, Donald F. 1967. Multivariate statistical methods. McGraw-Hill, New York. Muenscher, W. C. 1967. Aquatic plants of the United States. Comstock Publ. Co., Inc., Ithaca, New York. 374 pp. Mulrennan, John A. 1962. The relationship of mosquito breeding to plant production. Hyacinth Control J. 1:6-7. Needham,' J. C, and M. J. Westfall, Jr. 1955. A manual of the dragonflies of North America (Anisoptera) including the Greater Antilles and the provinces of the Mexican border. Univ. California Press, Berkeley. 615 pp. 159 O'Hara, James. 1961. The i nvertGhrate fauna associated with water hyacinths in South Florida. M.S. thesis, Univ. Miami, Florida. 66 pp. O'Hara, James. 1968. Invertebrates found in water hyacinth mats. Quart. J. Fla. Acad. Sci. 30 (1) : 73-80 . Patrick, R. 1954. Diatoms as indication of river change. Proc. Ind. Waste Conf. 9th, Purdue Univ. Eng . Exten Serv. 87:325-330. Peet, Robert K. 1974. The measurement of species diversity. Annu. Rev. Ecol. and Syst. 5:285-307. Peet, Robert K. 1975. Relative diversity indices. Ecoloev 56:496-498. Penfound, VJ. T., and T. T. Earle. 1948. The biology of the water hyacinth. Ecol. Monog. 18:447-472. Pennak, Robert W. 1953. Fresh-water invertebrates of the United States. Ronald Press Co., New York. 769 pp. Perkins, B. D. 19 72. Potential for waterhyacinth management with biological agents. Proc. Annu. Tall Timbers Conf. on Ecol. Anim. Control by Habitat Management, Feb. 24-25 1972:53-64. Perkins, B. D. 1973. Preliminary studies of a strain of the waterhyacinth mite from Argentian. C.I. B.C. Misc Publ 6:179-184. Perkins, B. D. 1974. Arthropods that stress waterhyacinth PANS 29(3) :304-314. Pielou, E. C. 1966a. The measurement of diversity in differ- ent types of biological collections. J. Theoret. Biol. 13:131-144. Pielou, E. C. 1966b. Shannon's formula as a measure of species diversity: its use and misuse. Amer . Natur 100:463-465. Pielou, E. C. 1969. An introduction to mathematical ecology. Willey-Interscience, New York. 286 pp. Pieterse, A. H. 1974. The water hyacinth. Trop . Abstr. 29(2) :X263-X483. Poole, R. W. 1974. An intorduction to quantitative ecology. McGraw, New York. 532 pp. Preston, F. W. 1948. The commonness, and raritv, of species Ecology 29(3) :254-2S3. 160 Preston, F. W. 1958. Analysis of the Audohon Christmas counts in terms of the lognormal curve. Ecolopy 39(A)- 620-624. " Preston, F. W. 1962. The canonical distribution of common- ness and rarity. Ecology 43:185-215, 410-432. Price, Peter W. 1975. Insect ecology. John Wiley and Sons, New York. 514 pp . Raynes , J. J. 1964. Aquatic plant control. Hyacinth Control J. 3:2-4. Robson, T. 0. 1974. Mechanical control. Pages 72-84 in D. S. Mitchell, ed. Aquatic vegetation and its use~~and control. UNESCO, Paris. Sager, P. E., and A. D. Hasler. 1969. Species diversity in lacustrine phy toplankton. I. The components of the index of diversity from Shannon's formula. Amer . Natur. 103:51-59. Sanders, H. L. 1968. Marine benthlc diversity: a compara- tive study. Amer. Natur. 102:243-232. Seabrook, E. L. 1962. The correlation of mosquito breeding to hyacinth plants. hyacinth Control J. 1:18-19. Sheldon, Andrew L. 1969. Equitability indices: dependence on the species count. Ecology 50:466-467. Simberloff, D. 1972. Properties of the rarefaction diver- sity measurement. Amer. Natur. 106:414-418. Simpson, E. H. 1949. Measurement of diversity. Nature 163: 688. Small, J. K. 1933. Manual of the southeastern flora. Univ. North Carolina Press, Chapel Hill. 1554 pp. Spencer, N. R. 1973. Insect enemies of aquatic weeds. Proc . 3rd Int. Symp. Biol. Control of Weeds: 39-47. Spencer, N. R. 1974. Insect enemies of aquatic weeds. PANS 20(4) : 444-450. Stimac, J. L., and K. L. Leong. 1977. Factors affecting chironomid larval abundances in three vertical aquatic weed habitats. Environ. Entomol. 6 (4) : 595-600 . Stodola, Jiri. 1967. Encyclopedia of water plants. T. F. H. Publications, Jersey City, New Jersey. 368 pp. 161 Stout, Jean, and JoHtt Vandermeer . 19 75. Coniparison of species richness for stream- inhabit] ng insects in tropical and mid-latitude streams. Amer . Natur. 1 09 (967) : 263-280 . Strong, Donald R. , Jr. 1974a. The insects of British trees: Community equilibration in ecological time. Ann. Missouri Bot. Card. 61:692-701. Strong, Donald R. , Jr. 1974b. Rapid asymptotic species accumulation in phytophagous insect communities: the pests of cacao. Science 185 : 1064-1966 . Sutton, D. L. , and R. D. Blackburn. 1971a. Uptake of copper by water hyacinth. Hyacinth Control J. 9(l):18-20. Sutton, D. L., and R. D. Blackburn. 1971b. Uptake of copper by parrotfeather and water hyacinth. Proc . 24th Annu. S. Weed Sci. Soc . : 331. Tabita, Angelo, and John W. Woods. 1962. History of hyacinth control in Florida. !{yacinth Control J. 1:19-23. Tilghman, Noah J. 1962. The value of water hyacinth in the propogation of fish. Hyacinth Control J. 1:8. Ultsch, Gordon R. 1971. The relationship of dissolved carbon dioxide and oxygen to mi.crohabitat selection in Pseudo- branchus striatus. Copeia 1971 (2) : 247-252 . Ultsch, Gordon R. 1973. The effects of water hyacinths on the microenvironment of aquatic communities. Arch. Hydrobiol. 72 (4) : 460-473 . Usinger, R. L., ed. 1956. Aquatic insects of California. Univ. California Press, Berkeley. 508 pp. van Emden, H. F., and G. F. Williams. 1974. Insect stabil- ity and diversity in agro-ecosystems. Annu. Rev. Entomol. 19:455-475. Viosca. Percy, Jr. 1924. Report of the entomologist. Page 43 in Annual report of the Board of Health, Parish of New Orleans and the City of New Orleans. Wahlquist, Harold. 1969. Effect of water hyacinths and fer- tilization on fish-food organisms and production of blue- gill and redear sunfish in experimental ponds. Proc. 23rd Annu. Conf. Southeastern Assoc. Game and Fish Commrs: 373-384. VJahlquist, Harold. 1972. Production of waterhyacinths and resulting water quality in earthen ponds. Hyacinth Con- trol J. 10:9-11. 162 Wakefield, John W. , and William M. Reck, Jr. 1962. Effects of water pollution on aquatic vegetation. Hvacinth Con- trol J. 1:10. Walker, Edmund M. 195 3. The Odonata of Canada and Alaska, Vol. 1, Part 1, General Part II, The Zygoptera- -damsel- flies . Univ. Toronto Press. 292 pp. Wallace, J. B. 1968. Trichoptera. Pages S1-S19 in Frank K. Parrish, ed. Keys to water quality indicative organisms (Southeastern United States). Fed. Water Pol- lution Control Admin. U. S. Dept. Agric. Webber, H. J. 1897. The water hyacinth and its relation to navigation in Florida. U. S. Dept. Agric. Bull 18:1-20. Weber, Hans. 1950. Morphologische und anatomische Studien uber Eichhornia crassipes (Mart.) Solms. Abhandlunger der Mathematisch-Naturwisserschaf tlicher Klasse. Aca- demic der Wissenshaf ten und div Literature. Mainz. 1950(6) :135-161. Westfall, Minter J., Jr. 1957. A new species of Telebasis from Florida (Odonata : Zygoptera) . Fla. EntomoTT 40(1) : 19-24. Westlake. D. F. 1963. Comparisons of plant productivity. Biol. Rev. 38:385-425. Whittaker, R. H. 1965. Dominance and diversity in land plant communities. Science 147:250-260. I«Jhittaker, R. H. 1972. Evolution and measurement of species diversity. Taxon 21:213-251. Wilhm, Jerry L., and Troy C. Dorris . 1968. Biological param- eters for water quality criteria. Bioscience 18(6): 477-481. Wilhm, Jerry L. 1972. Graphic and mathematical analyses of biotic communities in polluted streams. Annu. Pvev. Entomol. 17:223-252. Williams, C. B. 1964. Patterns in the balance of nature. Academic Press. London. 324 pp. VJirth, Willis W. , and Alan Stone. 1956. Aquatic Diptera. Chapter 14 in R. I,. Usinger, ed. Aquatic insects of California. Univ. California Press, Berkeley. 163 Wright, Mike, and Alvan Peterson. 1944. A key to the genera of anisopterous dragonfly nymphs of the United States and Canada (Odonata, suborder Anisoptera) . Ohio J. Sci. 44(4) . -151-166. Young, Frank N. 1954. The water beetles of Florida. Univ. Florida Press, Gainesville. 238 pp. Young, Frank N. 1955. The type locality and habitat of Hydroporus dixianus Fall (Coleoptera : Dytiscidae) . Coleop. BulTT~9TTyT7-9. Young, Frank N. 1956. A preliminary key to the species of Hydrovatus of the eastern United States ^Coleoptera : Dytiscidae). Coleop. Bull. 10(3):53-54. Young, Frank N. 1961. Pseudosibling species in the genus Peltodytes (Coleopte Amer. 5^ni) : 214-222 . Peltodytes (Coleoptera :Haliplidae) . Ann. Entomol. Soc. Young, Frank N. 196 3. Two new North American species of Hydrovatus with notes on other species (Coleoptera: DytiscTdae). Psyche 70 (3) : 184- 192 . Zeiger, Charles F. 1962. Hyacinth--obs truction to naviga- tion. Hyacinth Control J. 1:16-17, Zettler, F. W. , and T. E. Freeman. 1972. Plant pathogens as biocontrols of aquatic weeds. Atiiui. Pvev. Phytopathol 10:455-470. APJMiMDTX A Fortrnn program foi Shannon's ;um.\ r.iin|i;;on indices (and Bri I] oiii n ' s , whon possihlf). s di ver." i f: 0000 C SHAIINCiN-UEAi-'ER t'lVf. (• '. I T r 00)1 C (rtLSJ I'MIAOIM-S INIil > f 0002 C 000 3 •CIIIDFF-r. 0O'.)4 Vim H'-U)N Ml 1000) .N( MO'if invix e. (ii; NroF' iiMrsoN's DiviF.sirr ltu't> OOOj 1 M..V . OLl.NO.NKir .:, (.:1LS 0004 I ■ N 1 ' i 0007 K"EfL 1 t 3 OOOB SUH=0 0009 K r. >> D > ( N ( I ) . I - 1 . K ) 0010 1 = 1 con liQ 8 M^l .K OOIJ SliM=yiintN( I ) 00 1.1 !• in 001 4 8 r:cMT I'lLir 0015 If (SUM. to. I i&o to '0 0016 Wf;nE<6,2i ) 0017 21 FORMAT ( 'UrtLUL or 1 HAL NUfinER OF 0018 IRtrl [ .SUH OOi 9 GO 10 1 0020 20 FflNl f CDLl.NiJ.NK) I r 1' Cits oori f RINT. (N( I ) . 1=1 .^ ) 0022 J=l 002J ['=1 0024 SUM=^0 0025 DO 12 M=l .K 0026 SIIH^SHMtN( n»(N< I ) 1 ) 00/7 1 = I n 002B 12 CONTIHOE 00 27 n i-t;iiH/(T«(T-i ) ) CC10 3llf1 0 Oi 11 I'] 00J2 no 10 M=<1.K 0033 F =N( I )/T 00 31 ■-|IM; ftrtl OG(P) »51JM OOJ'i I' I + l 0036 10 CIl'JT INUE 003 7 M'J--SIIM C038 J-1 0039 H'l OO'O 1=1 0041 TF-r 0042 2 \l =Tf »( T-J) 0043 J ^ J ( 1 00 14 I ( < T ■ 1)3.3.3 00 5 5 3 NF ( I 1 N( I ) 0044 II ( m 1 ) n ) 1 4 . I 6 . 1 7 0047 16 NF ( I ) 1 004D ciO (0 3 0049 17 ,)= 1 0050 4 HF I I ) = NF( I )t (N( I ) ■ 1) 0051 J-JFl 0052 IF (Nil) -J) 3. 3. 4 003 1 5 I'^H 1 0054 IF ( ' E.K)GO TO 3 0055 PkC ; 1 0034 I'l 005 7 ro 11 M=1,K 005S proH'CI ID*NF < I ) OO'.V I " 1 1 1 0060 11 CIINI IHIIt 0061 H M f M) 0042 IF ( ( TF /rum.) .1 T .NSh IF ) no TO 100 0063 Hli--a / T ) Xftl. Ol.( FF 1 i.nri) ) 0064 f F, INT .ir, .Hb. II 0045 94 no 9 7 ' 1.4 00.'.6 Ul, I II. ( 6. 99 I 'jItClMtNS INCDI; CO'II IllUE 164 rrENinx b Fcirtran program for rarefaction d'^ v ,^Jll' 300) f r (^oo) .f<3oo) tin 10 1= 1 r ■(V9 Ar.~,t ( 1 ; ' ■ Af A':( n 1 ) = '.' AC( I ) i/,i or, (n . .vr < n ) ) ) KImP. ICR 1 Mlf NtU . MAX CRUjr iCDLI.rlL!.;). ^ . . ',v., KF'-itl. (NU< J) . J a .MAO NCUK-=0 no 9" J- 1 f M.^x w .ir: =(ji H. unn J) t.j LVtn I-i:ii F {'!■ Mr, . Hf . N 1(10 rci Vh KV^ 1 DO 370 J'l .f1A< If (H'" I) .f a.O)GO TU WO HIUt\7 I J MU( Jl- Ml', J) -1 GO ri) 3Bj c(jNi i"ni: REfiti.M IFIM.r C).0)iiO TO 0 1 If « < I -P ( I ) ) riiin iiJ'iE I'O 1 ! II ,f.;.. FF 1 N i I .LF .OltlO Itl a K»l F I ;mi- iim< I ) Ntl J -F.'IK J) f I I- f . IF ni tim I.N, I M.i I 0 'do in 11 Fll A. AldJ Ndl ill-ID AfACdl nm-NIJJ- MMAl ACCii -M) - AF A( (FO F- I 1 F 11 < F- I 1) '..'..k '■ F, F. t I iF IJ) F ( n»F'< J) ) C'NF iiiUt C 1"! I li-rt uffi f? ill r.ncihi'ir.; is in tF^KfiFc) F Ml (If UOh 165 BIOGRAPHICAL SKETCH Juozas (Joseph) Kestutis Balciunas was born 3 October 1946 at Wurtzbiirg, Bavaria, Germany. The son of Drs . Jurgis and Brone Balciunas, he emigrated to the United States in 1950 and became a naturalized citizen in 1960. Upon graduation from St. Joseph's High School, Dover, Ohio, in 1964, he entered John Carroll University, Cleveland, Ohio, where, in 1969, he received his Bachelor of Science in biology with a minor in chemistry. He then accepted a teach- ing assistantship in the Biology Department at John Carroll University and received his Master of Science degree in biol- ogy in 1972. His Master's project involved the distribution of odonate nymphs in an Ohio county. In August of 19 71 he accepted a research assistantship at the University of Florida, where he is currently fulfill- ing the requirements for the degree of Doctor of Philosophy. His dissertation project involves the abundance and diversity of aquatic insect species found beneath v;aterhyacinths . Joseph K. Balciunas is single. He is a member of the Ecological Society of America and the Florida Entomological Society. 166 I certify that I have read this study and that in my opinion it conforms to acceptable standards of scholarly presentation and is fully adequate, in scope and quality, as a dissertation for the degree of Doctor' of Philosophy. }:^^ Mi^^c.^ Dale H. Habeck, Chairman Professor of Entomology I certify that I have read this study and that in my opinion it conforms to acceptable standards of scholarly presentation and is fully adequate, in scope and quality, as a dissertation for the degree of Doctor of Philosophy. /? C" J(%ities E . Lloyd ^^ Professor of Entomology I certify that I have read this study and that in my opinion it conforms to acceptable standards of scholarly presentation and is fully adequate, in scope and quality, as a dissertation for the degree of Doctor of Philosophy. Carr Professor of Zoology I certify that I have read this study and that in my opinion it conforms to acceptable standards of scholarly presentation and is fully adequate, in scope and quality, as a dissertation for the degree of Doctor of Philosophy. Thomas J. IjJ^lker Professor of Entomology I certify that I have read this study and that in my opinion it conforms to acceptable standards of scholarly presentation and is fully adequate, in scope and quality, as a dissertation for the degree of Doctor of Philosophy. Minter J., Westfaly, Jr. '/ Prof essor'-bf Eiitoniology''and Zoology This dissertation was submitted to the (Graduate Faculty of the College of Agriculture and to the Graduate Council, and was accepted as partial fulfillment of the requirements for the degree of Doctor of Philosophy. December 1977 cA. o^ ■