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Q 


SOUTH DAKOTA 


~ Alan W. Green 


USDA Forest Service Resource Bulletin INT-12 — 
INTERMOUNTAIN FOREST AND RANGE EXPERIMENT STATION 
FOREST. SERVICE, U.S. DEPARTMENT OF AGRICULTURE 


USDA Forest Service 
Resource Bulletin INT-12 
July 1978 


TIMBER RESOURCES 
OF 
WESTERN SOUTH DAKOTA 


Alan W. Green 


INTERMOUNTAIN FOREST AND RANGE EXPERIMENT STATION 
Forest Service 
U.S. Department of Agriculture 
Ogden, Utah 84401 


RESEARCH SUMMARY 


Reports findings of the comprehensive survey of western South 
Dakota's 1.4 million acres of forests, which include 1.2 million 
acres of commercial forest land. Presents statistics on area, 
volume, growth, mortality, and timber use. Also describes species, 
volumes per acre, stocking, site quality, ownership, trends in 
product harvesting and other factors that bear on timber management. 
Opportunities and problems related to future development are discussed. 


THE AUTHOR 


ALAN W. GREEN is Acting Project Leader of Renewable Resources 
Evaluation at Intermountain Station. His career has included 
research in silviculture and regeneration, economics of timber 
production, and foreign forestry resources. In addition toa 
degree in economics, he holds both bachelor and master of 
science degrees in forestry from Purdue University. 


alee 


FOREWORD 


This report presents basic statistics on western South Dakota forest 
area, timber volume, growth, mortality, and removals. It also discusses 
the outlook for future timber supplies from State and privately owned for- 
est land. 


The area covered in this report includes all of Harding, Butte, 
Lawrence, and Fall River Counties, as well as all lands west of the 103rd 
Meridian in Meade, Pennington, and Custer Counties. Timber statistics for 
South Dakota reported by Choate and Spencer (5) were for the entire State 
and so cannot be compared directly with data reported here. 


Data are from timber inventories conducted from 1971 to 1974 by the 
South Dakota State Department of Game, Fish, and Parks, Division of For- 
estry; and the Rocky Mountain Region, Forest Service, in cooperation with 
the Intermountain Forest and Range Experiment Station, Forest Service, 
Ogden, Utah. 


103° 


alata 


A 2-MINUTE SUMMARY 


There are 1,246,800 acres of commercial forest land in western 
South Dakota; 63,200 acres less than in 1970 (7). 


Most of it is in public ownership, but farmers hold over 154,000 
acres, 70,000 acres less than in 1960. 


Land productivity is relatively low, but climate and soils make 
good tree growth possible. Average annual net growth is 32 ft? per 
acre per year. 


There are 1.6 billion ft? of wood, 5.6 billion bd.ft. (International 
1/4-inch rule) of sawtimber. Pennington, Lawrence, and Custer 
Counties have the most timber. 


Mortality is low, but increasing due to greater insect activity. 


Because of prolific regeneration and resultant dense stands, an 
intensive thinning program is required to keep stands in a productive 
condition. 


State and private lands have the potential to produce in excess of 
12 million ft? per year. Only about 192,000 acres are presently 
operable, with a potential output of 8.5 million ft? per year. 


Planned output for State and private lands is about 6.2 million ft3 

per year from the operable area. In order to assure wildlife, grazing, 
recreation, and esthetic goals are achieved, managed stands will have 
fewer trees than would be required to maximize timber output. 


Removals from National Forest and private ownership have increased 
since 1970. 


Maintaining markets for small size material and management money are 


key items for achieving planned goals and objectives for western South 
Dakota's forest resources. 


iv 


SIGNIFICANT CHANGES 


The area of commercial forest land is 63,200 acres less than reported in 


S701 7a) 
Commercial forest land owned by farmers is 70,000 acres less than in 1960 (4). 


Growing stock volume and sawtimber volume increased 6 million ft? and 
2.2 billion bd.ft., respectively, since 1960 (4). 


Sampling techniques, revtsed land classtftcatton, and changes 

tn land status account for much of the reductton tn area. The 
loss of farmer-owned CFL ts due, in large part, to wtthdrawals 
for nontimber uses. 


The tnereases tn volume are due, tn part, to growth rates tn 
excess of removals over the pertod and, tn part, to changes 
tn sampling techntques used in more recent tnventories. 


CONTENTS 


FOREWORD . 
A 2-MINUTE SUMMARY . 
SIGNIFICANT CHANGES 
A BRIEF HISTORICAL FLASHBACK . 
TODAY'S FOREST . 
The Size of It 
Who Owns It ane 
How Productive Is It 
Timber Kinds and Sizes 
How Is It Used 
THE TIMBER RESOURCE 
How Much Wood 
Growth--Mortality . 


Removals 


PROSPECTS FOR FUTURE WOOD SUPPLIES FROM STATE AND 
PRIVATE LAND 


Potential Versus Available Output 
Available Output. 
The Existing Timber Resource 
Stand Age and Size 
Sigerelilitei 1 6 6 6 oe c 
Growth and Mortality 
Opportunities for Increasing Timber Supplies 
In Total 
ABOUT THE BLACK HILLS NATIONAL FOREST 
Resource Use and Management Direction 
Consequences of Timber Management . 
Recreation 
WENEGIR! 6 20. No 6.0 obo te 
Grazing and Wildlife 
OthenvEifiects .. : 
Key Issues for Future . 
PUBLICATIONS CITED . 
APPENDIX . 


Glossary 
Tables 


A BRIEF HISTORICAL FLASHBACK 


Any discussion of western South Dakota forests is primarily one of 
the Black Hills. This 4,500 square mile uplifted granite, limestone, 
and metamorphic rock island in the Great Plains is a major geographic 
landmark of the United States, attracting hundreds of thousands of visit- 
ors each year (12). These visitors are more likely to look at the Black 
Hills as a suitable setting for Gutzon Borglum's transformation of Mt. 
Rushmore than an important source of timber. But although the area is 
heavily used for recreation, significant values are derived from the 
water, wildlife, livestock grazing, and timber associated with the forest. 


The values of the timber and related resources of the Black Hills 
have been recognized for more than a century. Before 1870, these 
were the hunting grounds for Plains Indians. The ponderosa pine forests 
were subject only to the vagaries of nature and to fires set by the 
Indians to drive game. As a consequence, the stands of timber were 
generally sparse or open (10). 


With the discovery of gold and the subsequent opening of the 
area to white settlement came significant changes in the use and nature 
of the forest. The timber resources were exploited for mining and the 
attendant construction of houses and other buildings, and later to 
supply timber needs for construction of railroads (3,10). Fires con- 
tinued to go unchecked. Concern for what was happening to the resources 
of the Black Hills led to much of the area being set aside as a forest 
reserve in 1897. That reserve later became the Black Hills National 
Forest. 


The increased density and vigor of the timber, consequences of 
protection and management of the forest since the turn of the century, 
are clearly seen in the remarkable comparative photographs taken from 
the same locations in 1874 and 1973.1 


1 Photographs courtesy of Agricultural Experiment Station, South Dakota 
State University, Brookings, South Dakota. 


The 1874 photographs were taken by William H. 11lingsworth during 
a 60-day expedition into the Black Hills to gather extensive information 
about the terrain and resources. The expedition of some 1,200 troopers 
of the 7th Cavalry and assigned civilians was under the command of Lt. 
Col. George A. Custer, elevated to the rank of Brevet Major General 
for the occasion (10). Custer and his command left Fort Lincoln for 
the northwestern edge of the Black Hills July 2, 1874. Two years later 
(June 26, 1876), he was to die in the battle of the Little Bighorn. 


The ''today'' pictures were taken by Richard H. Sowell, South Dakota 
State University, for Dr. Donald R. Progulske during a study to show 
man's impact on the environment and resources of the BiltaekeiHiinlulisie amine 
Progulske publication (10) is a delightful and most informative look 
at the history and development of the Black Hills. 


ps VF 3y 
ms ae 


General Custer's 1874 encanpment near Dearfield, looking up Silver Creek, 
near the confluence of Castle Creek.... 


.-.and in 1973 (above). (Below) another 1874 view of the sane encampment area... 


ee 


& 


TODAY'S FOREST 


About 20 percent 
of the land area 
iS) fOtmeSteaee 


and 9] percent 
of the forest is 


classed commercial. 


«ANG in 1973. 


The Size of It 


There are nearly 1.4 million acres of forest land in 
western South Dakota. Over 1.2 million acres are classed as 
commercial forest land (CFL), suitable and available for 
timber-growing activities. About 11,000 acres of productive 
forest land are reserved from cutting because of uses that 
preclude timber harvesting. Most of this land is in Mt. 
Rushmore National Memorial, Wind Cave National Park, and 
Jewel Cave National Monument. 


Land Class Area 
(Thousand acres) 


Commercial timberland 1,246.8 
All other forest land: 
Productive reserved eal 


Other reserved (ats) 
Other forest nonreserved 108.1 
Total forest land MS 367 23 
Nonforest land SoS 
Total land area 6,878.8 


Most of the noncommercial forest land is relatively 
unproductive; either the site conditions are unfavorable 
for economic production of useful wood, or the sites are 
occupied by kinds of trees not commercially useful. 


Who Owns It 


Over 80 percent of the commercial forest land is 
publicly owned or administered: 


Owner Group Area Percent of Total 
(Thousand acres) 
The bulk of the Public: 
CFL is publicly Federal 961.0 TIA 
owned. State 67.0 5.4 
County and 
municipal 3.4 OZ. 
Subtotal 1,034.4 82.7 
Private: 
Forest industry* ar I 
Farmer 154.6 12.4 
Misc. private 60.8 4.9 
215.4 Wia3 
Total 1,246.8 100.0 
The principal owner is the Forest Service. Its 
952.5 thousand acres represent 76 percent of the total 
The Forest Service and 83 percent of the publicly owned commercial forest 
has the most CFL. land. The biggest part of its holdings are the Black 


Hills National Forest in Pennington, Custer, Meade, 
and Lawrence Counties with minor areas in Fall River 
County, and small areas of the Custer National Forest 
in Harding County. 


*Forest industry data have been combined with 
miscellaneous private data to avoid disclosure of 
an individual owner. 


Collectively, private 


individuals own 
more CFL than any 
Owner except the 
Forest Service. 


Some poor soils and 
exposed bedrock 
reduce the average 
productivity of 

the land. 


But the land is well 
suited for growing 
crops of timber. 


Ninety-four percent 


of the CFL is growing 


ponderosa pine. 


The Bureau of Land Management administers most of 
the other federally owned commercial forest land. 


Other publicly owned land belongs to the State, 
administered and managed through the State Department 
of Game, Fish, and Parks, Division of Forestryan es 
biggest single holding is Custer State Park. 


Privately owned commercial forest land is dominated 
by small private owners, largely farmers, who collectively 
control 154,000 acres, or 12 percent of the total and 
72 percent of all privately owned commercial forest land. 
This is 70,000 acres less than reported for 1960 (4). These 
holdings are rather evenly distributed throughout the 
seven counties. 


How Productive Is It 


Compared to other important timber producing areas in 
the West, the commercial forest land in western South Dakota 
is not highly productive. Only about 3 percent of the land 
is capable of growing as much as 60 ft? of wood per acre 
per year. 


Shallow soils with low moisture-holding capacity are 
common. Also, there are many areas where exposed bedrock 
prevents the establishment of trees. In such areas, stands 
tend to be sparse-to-open, and over a given time period 
cannot produce the amount of wood possible with more 
dense stands. 


But although the productive capacity of the CFL is 
limited, the area is well suited to timber culture. As 
Boldt and Van Deusen (3) point out, ''This basic premise 
is neither speculative or theoretical--its validity has 
been demonstrated by actual forest responses to nearly a 
century of consumptive use.''! 


Timber Kinds and Sizes 


Were it not for some 
24,000 acres of spruce type 
(mostly in Lawrence, Penning- 
ton, and Custer Counties), the 
softwood (evergreen) forest 
would appear to be a single 
species, ponderosa pine (Pinus 
ponderosa). As a forest type, 
it occupies nearly 1.2 million 
acres of the CFL. 


Hardwoods are not 
a significant 
resource for 
timber purposes. 


Two-thirds of the 


CFL area is occupied 


by sawtimber stands. 


Hardwoods (broadleaf spe- 
cies) cover only about 50,000 
acres and include localized 
pockets or small stands of 
aspen (Populus tremulotdes) , 
as well as a mixture of oak 
and other species in the hills, 
and considerable cottonwood 
(Populus deltotdes) along major 
streams and rivers. 


Sawtimber stands dominate the commercial forest land in 
all counties. Although Custer, Lawrence, and Pennington 
Counties have the most sawtimber stand area, Lawrence County 
has the highest proportion of sawtimber and none of the coun- 
ties has less than 50 percent of the CFL in that size class. 


This does not mean there are no small trees in these 
stands. Stand-size classification can be misleading in 
terms of the diameter distribution simply because of the 
way stand sizes are defined?. 


Butte, Harding, Meade 


DS 


Custer 


Pereent of commerctal Fall River 
forest land by stand- 
size class. 


Lawrence 


Pennington 


All Counties 


Percent of Total 


0 25 50! :60:" 570) °80)=.90"" 100 


[|] = @Z@ 


SAWTIMBER POLES SEEDLING/ NONSTOCKED 
SAPLING 


3Softwood sawtimber trees need be only 9.0 inches d.b.h. 
(hardwoods, 11.0 inches); sawtimber stands need have only half 
the total stocking in sawtimber and poletimber trees, with 
sawtimber at least equal to pole timber stocking. 


Only @,700 acres 
are classed as 
nonstocked. 


Visitors won't 


find grizzly bears 


or wolves... 


but they may see 
some 60 varieties 
of other animals, 
as well as birds 
and fish. 


Major nontimber 


uses of the forest 


include outdoor 
recreation. 


There is little nonstocked area and most of it is 
in Fall River County. This attests to the ease with which 
natural regeneration becomes established following har- 
vesting activities. 


How Is It Used 


The grizzly and the grey wolf are gone and the black 
bear and mountain lion are rarely seen. But, there is abun- 
dant wildlife to be seen by the hundreds of thousands of 
people who annually visit the Black Hills. 


Deer, elk, wild turkey, 
antelope, beaver, buffalo, 
and even Rocky Mountain 
goats and Big Horn sheep can 
be found. Many of these 
animals and birds have been 
introduced or reestablished 
over the past 50 years or 
so. (12). In the streams and 
lakes, fishermen find several 
varieties of trout, most of 
which have been introduced 
and maintained by the State. 


Outdoor recreation is the dominant use of much of the 
forest today. Management of the forest is designed to in- 
tegrate recreation opportunities, esthetics, protection of 
wildlife habitat, and production of usable wood. Tree har- 
vesting is a necessary part of maintaining wildlife habitat 
and a varied landscape, as well as a healthy forest. 


The diverse recreation opportunities of the Black Hills 
National Forest are used at the rate of about 2 million 
visitor-days annually. Much of the recreational activity is 
in developed sites for camping, picnicking, and boating. 
However, about 70 percent of the present use is for dispersed 
activities such as hiking, hunting, and sightseeing, the most 
common activity (12). 


Livestock grazing, 
though sometimes a contro- 
versial issue, is a con- 
trolled use on the Black 
Hills National Forest during 
the summer. In 1975, 26,900 
cattle and horses and 4,700 
sheep grazed over 125,000 
animal unit months on the 
National Forest (12). 


THE TIMBER RESOURCE 


Although only about 
1.6 percent of the 


total wood volume 
in the Rocky 
Mountain States is 
in western South 
Dakota, it is an 
important resource. 


Custer, Lawrence, 
and Pennington 
Counties are the 
most heavily 
timbered. 


Nearly three-fourths 


the volume is in 
trees less than 15 
inches d.b.h. 


Volume by 


dtameter class 


How Much Wood 


In 1974, CFL in western South Dakota contained an esti- 
mated volume of 1.7 billion ft°,1.6 billion of it in growing 


stock trees, most of it softwood timber. 


About 1.25 billion 


ft? are in sawtimber size trees (9.0 inches d.b.h. and larger 
for softwoods and 11.0 inches for hardwoods), estimated at 


5.6 billion bd.ft. 
bd. ft. more than in 1960 (4). 


The bulk of the standing volume is in 
and Pennington Counties, the latter having 
Lawrence County accounts for 
hardwood volume (8.6 million ft?). 
cubic foot volume 


million ft. 


VOLUME (Thousand cubic feet) 


300 


250 


200 


150 


100 


50 


in trees less than 15 


DIAMETER CLASS 


(International 1/4-inch rule), 2.2 billion 


Custer, Lawrence, 
the most, 589 
about half the 

73 percent of the 
inches d.b.h. 


22, 24°26) 28) 290i 


Net annual growth 

is higher than the 
average of the Rocky 
Mountain States. 


Ninety percent of the 


growth occurs on 
90 percent of the 
Clrika gs 


but growth rates 
vary by county. 


Insect activity 
is increasing in 
some areas... 


and mortality may be 
underestimated in 
terms of current 
conditions, 


Growth — Mortality 


In spite of the low productivity of the forest land, 
relative to the rest of the Nation, growth of timber in 
western South Dakota is above average for the Rocky Moun- 
tain States. Gross annual growth is about 43.7 million 
ft? or 35 ft? per acre. That is about the average for the 
other States. However, a low estimated mortality rate 
(3 ft? per acre compared to 11 ft? for all the Rocky 
Mountain States and about 9 ft? for the Nation), results 
in a net annual growth of growing stock of 32 ft? per 
acre, 8 ft* more than the average. 


About 90 percent of the net annual growth is in 
Custer, Lawrence, and Pennington Counties, about the same 
proportion as CFL area, but that does not mean all the 
counties are equally productive: 


County Average 
net annual growth 
(ft3/A/yr) 

Butte, Harding, 32 

Meade 
Custer 28 
Fall River 21 
Lawrence 36 
Pennington 34 

All counties 32 


Recent increases in mountain pine beetle activity 
indicate that current tree mortality is probably somewhat 
higher than that found during the last inventory. Hardest 
hit seems to be Lawrence County, but no current accurate 
estimate of the amount of damage is available. There is a 
real need for damage survey in areas of most severe 
infestations. 


Western red rot and other fungi have caused sub- 
stantial volume losses in older stands (8). But, the 
continuing conversion of older stands to faster growing 
young stands will significantly reduce the impact of 
thesendiliseasesuasi welll vasimthatmon; insects is) se 


lt should be noted also that in contrast to ponderosa 
pine areas in other parts of the West, the Black Hills 
ponderosa pine is free of dwarf mistletoe (1, 3). 


Snowbend and windthrow losses vary from year to year, 
but currently are the third ranked cause of mortality. 
Snowbend and breakage occur more often in sapling and 
small pole-size stands; windthrow is a more common hazard 
to large pole and small sawtimber sizes (3). 


10 


A record high 


volume of 17.9 
million ft? 


WaSmeut mimi O74 2. 


but, 700,000 ft? 
were left as 
logging residues. 


Seventy-five percent 


came from National 
Forests, the rest 
from private land. 


Output from all 
lands is expected 
to increase. 


Removals 


In 1974, 17.9 million ft? of roundwood products were 
harvested (11), two-thirds of which were saw logs, amounting 
to 76.7 million bd.ft. (International 1/4-inch rule). The 
remainder, about 6 million ft? were pulpwood, poles, posts, 
and fuelwood. 


Removals from grow- 
ina stock were 17.7 mil- 
lion ft? (or 44 percent 
of net growth) and about 
0.114 million ft? came 
from dead trees. The 
latter represents only 
about 0.2 percent of the 
salvable dead volume and 
9 percent of the annual 
estimated mortality. 


Three-fourths of the total output came from National 
Forest and almost all the rest from private land. More 
than half the total came from Lawrence County. 


The estimated output for 1977 (appendix tables 10 
and 11) is about 19.7 million Fteoanick present trends continue. 
That would represent an increase of 31 percent over 1970. 


Sawtimber removals are expected to total] 82 million 
bd.ft. for saw logs and account for about the same proportion 
as in 1974. "Other removals'' associated mainly with land 
withdrawn from timber use, are expected to account for 
about 1 percent. 


PROSPECTS FOR FUTURE WOOD SUPPLIES FROM 
STATE AND PRIVATE LAND 


The future timber supplies from western South Dakota will be influenced by (a) the 
management goals of the owners or managers of the resource; (b) the potential of the 
land to grow wood; (c) the condition of the existing resource; and (d) the amount of 
money available for silvicultural treatment. 


The major supplier will, of course, be the Black Hills National Forest. The 


planned cut through 1986 is in excess of 36 million ft? per year (5). 


Because the bulk 


of the remaining CFL ts tn State and private ownershtp, the remainder of the report 
will examine the timber resource on those lands, an area of about 242,000 acres, 
excluding Custer State Park.* 


State and private 


CFL has the potential 


for producing about 
12.4 million ft? 


of wood annually. 


Even if achieving the 


potential were 
considered desirable, 


that level of output 


would be impossible 


to reach at present... 


because not all the 
land is operable... 


Potential Versus Available Output 


Potential output of timber is a function of land pro- 
ductivity and the level of management or silvicultural 
practices applied to the timber resource (5). Given 
current and prospective future on-site costs for silvi- 
cultural treatments, State and private lands have the 
capacity of producing 12.4 million ft? per year under a 
management program of a precommercial thinning at 10 
years, commercial thinnings every 20 years, and a final 
harvest at the end of a 110-year period. Stand density 
would have to be maintained between 120 and 140 ft? of 
basal area per acre. 


That output could be reached only if (a) the 
entire CFL area were operable; (b) the forest resource 
were managed strictly for timber production; (ec) the forest 
were fully regulated, and (d) suffictent funds were avatl- 
able for on-site cultural activities when needed. 


The fact is, however, nearly 20 percent of the CFL 
is now considered ''tnoperable.'' Along with a prudent 
logging operation that would protect the soil and other 
associated resources, steep slopes and other conditions 
make harvesting and management impossible or unwise with 
present harvesting techniques. 


*Custer State Park is excluded from much, but not all, of 
the more detailed examination of the resource that follows. 
Although timber will be harvested from the Park, such removals 
will be requirements to enhance the other values and meet the 
overall management goals of the Park, rather than representing 
any specific timber production goal. 


ANNUAL OUTPUT (Million cubic feet) 


50 


Timber output foregone in favor of 
nontimber values generated by 
planned management. 


LAND POTENTIAL 


AVAILABLE POTENTIAL 


oo™™ 
eo” 
P\ 
ry 
| L@ 
le? 
® 
2] | 
a | 
| 
| 
PRESENTLY | 
eo” | INOPERABLE 
ag 90,339 ACRES 
| 
| 
| 
OPERABLE 
192,209 ACRES l 
| 
| 
| 
| 


100 150 200 250 300 350 400 


ANNUAL MANAGEMENT COSTS ON-SITE (Thousand dollars) 


Potenttal output and avatlable output, State and privately owned CFL, 


and more management 
money is needed. 


To grow the potential 
of the operable area 
would cost about 
$245,000 a year. 


Managing the currently 


inoperable area will 
cost more. 


Management plans 
propose levels of 
output less than the 
land's potential... 


western South Dakota. 


There are over 30,000 acres of dense young stands 
needing thinning. The State has placed these lands in the 
inoperable category because present and prospective future 
(short term) management money available is insufficient to 
realistically include them in its management plans. (The 
Black Hills National Forest has a similar situation; such 
lands are included in the Marginal land component) . 


At current costs, potential output on the operable 
area is estimated at 8.5 million ft2, and would cost 
$245,000 annually for on-site management activities. For 
the 192,000 operable acres, this would amount to about 
$1.28 per acre per year. 


Should the entire 90,000 acres of inoperable area 
become available for harvest and management, an additional 
3.9 million ft? of wood could be produced annually at an 
estimated additional cost of $140,000 or $1.55 per acre 
per year. 


The State Division of Forestry has timber management 
plans for each county. 
technical and financial assistance to private owners and 
coordinated programs with other public agencies, these 
plans include a proposed target timber harvest for all 


The likelihood of this happening is small, however. 


Because its forestry program includes 


non-Forest Service lands. The timber management objectives 
outlined in these plans are much the same as the Forest 
Service's multiple use goals. Timber is considered to 

be an important available commodity to be grown and 
utilized along with other commodity and noncommodity goods 
and services. Therefore, there is no intention to assume 

a management posture to maximize timber output on State- 
owned land or to recommend such a program to private owners. 


Maximizing timber output would require stand densities 
to favor other forest nearly twice those planned. Only with a more open forest 
resources and values. can the nontimber objectives for livestock range, wildlife 

habitat, water production, esthetics, and other recreational 
uses of the forest land be achieved. 


Planned output could Available Output -- The difference between potential 

be achieved by and available output (planned for period following achieve- 
intensively managing ment of full regulation) indicates the trade-off between 
fewer acres... timber and the nontimber values achieved. 


Because of uncertainty as to whether private owners 
will in fact act in accordance with plans, the ''available 
output'' has to be considered as the probable upper limit. 


8 LOW SITE LAND 


HIGH SITE LAND | 


x 
4 ‘ Wy 
\2 
er 
randy 


ANNUAL OUTPUT (Million cubic feet) 
on 


10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 
CUMULATIVE ACRES (Thousands) 


Potential and planned output for operable area, State and private Lands. 


Looking again at the potential and planned output, by 
intensively managing all the high-site land now operable 
but the overall manage- and an additional 42,000 acres of low-site land, the total 
ment objectives would planned output could be achieved. In other words, only 
not be met. 136,000 acres would need to be intensively managed rather 


than 192,000 to get the same annual output. This would 


result in a savings of about $66,000 annually. But, in 
terms of overall management objectives, that would be a 
false saving. 

The 56,000 acres of unmanaged land would not provide 
the water, wildlife, range and esthetic value objectives; 
nor would the intensively managed areas. Why? Because 
maximizing timber output on the 136,000 managed acres 
would require stand densities so high that good wildlife 
browse and herbage production would not be possible. The 

unmanaged areas would soon grow into such densities that 
they would provide about the same nontimber values as the 


high density, managed stands and little timber. They would 
also look worse. 


Herbage Production ——» 


Basal Area/Acre —> 


To achieve the planned Achieving the available potential timber output is 
potential output of not just a matter of scheduling intermediate cuts and 

timber and nontimber harvesting. There are specific conditions that exist now, 
values, the manager with respect to timber stands and to the forest in general, 
must begin with that need to be examined. The manager must begin with 
existing timber the current timber resource and manipulate it during the 

and nontimber next few decades in a manner that will result in a timber 
resources. resource of a kind and condition that will allow both future 


timber and nontimber goals and objectives to be met. 


The Existing Timber Resource 


Softwood timber Stand Age and Size -- Although there are some stands as 
stands are old as 240 years, the bulk of CFL is occupied by stands in 
relatively young... the 50- to 130-year class, with heaviest concentration in 


the 50- to 100-year-old class. 


Nearly 60 percent of the CFL is occupied by sawtimber 


stands: 
Stand stze Area % Cumulative % 
class 
but over half Old growth sawtimber 21,493 9 9 
are sawtimber Young growth sawtimber 116,601 48 57 
size. Poletimber 62,129 26 83 
Seedling-sapling 36,629 15 98 
Nonstocked 5,424 2 100 


Even though such a large proportion of the CFL is 
classed as sawtimber, board foot volumes per acre are 
relatively low; 96 percent of the area is carrying stands 
with volumes less than 10,000 bd.ft. per acre. The board 
foot-cubic foot ratio of 4.4 indicates that the average 
size of trees in these stands is relatively small. 


Ninety-eight 
percent of the 
CFL is stocked 
with trees... 


but some acres 
have too few 
trees, some 
have too many. 


Inadequate stocking 


is tough to deal 
with except over a 
longer time frame. 


Much of the CFL 
will be under 

some even-aged 
management system, 
with a two-cut 


shelterwood harvest 


to regenerate the 
stand. 


Stocking -- Only 5,400 acres (2 percent of the total) 
are considered nonstocked. No doubt part of the non- 
stocked area is unable to support trees and its burned 
sections lack sufficient seed to naturally restock such 
areas within a reasonable period. 


However, having 98 percent of the CFL area classed as 
stocked doesn't mean there are just the right number of 
trees nor that only good trees are included. Eleven percent 
of the area actually capable of growing trees is either bare 
or is occupied by cull trees: 


Area occupted by 


Stockable Growtng stock 

area trees Cull trees lo trees” 
Nr INCOSE 3S 
211,482 188,110 3,490 19,882 
% of total 89 2 9 


Both situations are equally unproductive for timber. 


An acre 60 percent stocked with growing stock trees 
is considered to have an adequate number of trees. About 
33,000 acres of CFL are less than 50 percent stocked with 
live trees and some 64,000 acres are less than 60 percent 
stocked with growing stock trees. An estimated 40,000 
acres have more growing stock trees than are needed to 
use the site effectively. 


The latter condition is somewhat easier to deal with 
in a short time frame. A thinning program can bring over- 
stocked stands into a more productive condition rather 
quickly and is consistent with other management goals. 
Understocked areas are not so easily dealt with, especially 
small treeless areas scattered through the forest. Over 
time, many such areas will ''grow'' into a more desirable 
condition and better utilize the site. They can also be 
planted, but at considerable cost. Planting, however, is 
much used to restock larger areas without a sufficient seed 
source. 


Stand Denstty and Structure.--One of the objectives of 
the State's planned forestry program is to bring the State 
and privately owned CFL under full management and ful] 
regulation within 30 years through its public assistance 
program. Although many kinds of silvicultural treatments 
can be used (depending on the nature and condition of 
existing unmanaged stands), most will take advantage of 
the tendency of ponderosa pine to establish itself in 
even-aged stands. Intermediate harvest every 20 years 
with a two-cut shelterwood regeneration cut at final 
harvest is the system generally thought most appropriate 
for ponderosa pine in the Black Hills (1, 3). 


“This area represents open areas in sparse stands in 
which trees could grow. 


Average stand 
density is 
about 80 ft2 
of basal area 
per acre... 


but, there is 
more in small- 
size trees 
than desired. 


Square-foot basal 
area by diameter 
class for the 
average acre. 


When fully regulated, 


only 30 percent of the 


total basal area 
will be in trees 
less than 10 
inches in 
diameter. 


A continued 
thinning program, 
emphasizing removal 
of smaller trees, 
is needed. 


Once the acreage of CFL is all under management, 
it would be occupied by individual stands of different 
ages and tree sizes. On a per-acre basis, the average of 
all these stands would have a density of about 80 ft? 
basal area distributed among the diameter classes as shown 
by the dotted line. 


Currently, the average of all stands (some managed 
and some not), is about 80 ft? of basal area but dis- 
tributed by diameter classes as shown by the solid line. 


The apparent imbalance in basal area distribution 
indicates both the existence of stands needing thinning 
and the fact that the forest is not yet ina fully 
regulated condition. 


— 
£ 


12 
10 e 
g 
C2 
8 a 
& 
A Under full 
6 “<<—_— Management 
& regulation 


BASAL AREA (Square feet per acre) 


& 
& 
a 
C4 
& 
o 
& 


2 4 6 8 1OI IZ 4 16)" 18). 20 


D.B.H. CLASS (Inches) 


In a fully regulated situation where a variety of 
roundwood materials (pulp, poles, and saw logs) are pro- 
duct objectives, the basal area in trees less than 10 
inches d.b.h. should be about 40 percent of that in trees 
10 inches d.b.h. and larger; or, 30 percent of the total 
basal area’ (6). 


Currently the average stand has 40.6 ft* basal area 
(about 50 percent) in trees less than 10 inches d.b.h. 


Removing more of the smaller diameter trees (thinning 
from below) automatically will increase average stand 
diameter. Normal tree growth, during the period between 
thinnings will increase the diameter of residual trees 
and, therefore, the basal area in each diameter class. 


iy) 


Nontimber benefits 
achieved through 
timber management 
activities stretch 
the nontimber 


resource management 


dollars. 


Heavy thinning in 
stagnated stands 
can produce some 
startling results. 


There is a good 
case for thinning 
investments. 


If the annual harvest 


could be increased 
at the same rate 
as volume growth... 


Fewer but larger trees will be the result and will 
create a more open forest capable of meeting both timber 
production and other management objectives. In addition, 
maintaining the vigor of young stands will help control 
mountain pine beetles and reduce mortality losses. 


As an example of what thinning stagnated stands can 
do, Boldt (2) reported in a case study in 1970 some 
startling results of a sequential thinning effort. 

A 70-year-old stand containing 2,000 trees per acre, 
with an average diameter of 4.2 inches was thinned 

from below to 476 trees, then 7 years later to 105 trees. 
The result: in an 1]l-year period, removal of smaller 
trees increased diameter growth of remaining trees, and 
a stagnated sapling stand was transformed into a smal] 
sawtimber stand averaging 9.1 inches d.b.h. 


Such a thinning program may not always be prudent, 
however, because of the susceptibility of residual trees 
to damage from snow or wind. A series of lighter cuts 
is usually recommended to reduce the likelihood of such 
losses 163). 


How good is an investment in precommercial and 
commercial thinnings? Although the forest land is not 
as productive as that of other timber-producing areas 
in the West, there are opportunities for generating 
both timber and nontimber values. 


The major silvicultural requirement for growing 
timber is stocking control. The average cost for pre- 
commercial thinning in young stands is about $60 per acre. 
On an average site, a management regimen consisting of 
one precommercial thinning and three commercial thinnings 
to a growing stock level of 80 ft? would generate a total 
output of some 4,600 ft? per acre over a 100-year rotation. 
That is about 30 ft? per acre per year more than if no 
thinning were done. Also, an additional 20 cents per 
acre per year worth of forage would be produced. There 
are several ways to look at and interpret such an 
"opportunity." 


First, if there is sufficient old-growth sawtimber 
reserve, the ''allowable cut effect'' would indicate that 
an additional 30 ft? per year could be harvested for 
each acre brought under such a management regimen. 
Assuming a stumpage value of $0.25 per ft3, that represents 
an increase in income per acre of $7.50 per year, in 
addition to the annual income from grazing estimated at 
$0.20 per acre per year. 


If the rotation were 110 years and the thinning 
were done at 20 years, there are 90 years in which the 
grazing income and the additional wood values would be 
captured. 


the rate of return on 
the $60 thinning is 


about 11 percent. 


If capturing the 
"allowable cut 
effect'' is not 
possible, the rate 
of return is about 
5 percent. 


A: With management. 


Year Stand Age 

0 20 
20 40 
40 60 
60 80 
80 100 Harvest 
90 110 Harvest 

All All Grazing 
B: With no management. 

0 20 Nothing 
80 100 Harvest 
90 110 Harvest 

All All Graze 


Activity 


The rate of return on the initial $60 investment 


generating this series of annual 


But, again, 


incomes 
remember this rate of return could be earned 


is 11.05 percent. 


only tf the annual cut could be tnereased at the same 
rate as the expected average annual yteld tnecrease. 


Given the following management schedules, 


in terms 


of the difference in yield between such a management program 
and the ''do nothing but harvest'' plan, the rate of return 
is about 5.05 percent: 


Precommercial thin 
Commercial thin 
Commercial thin 


Commercial thin 


Total 


Total 


Volume Removed Cost Income* 
cu. £t. 
0 $60 0 
400 20 $100 
500 20 125 
700 20 175 
1,500 30 375 
1,500 30 375 
4,600 ain = 
10 AUM 0 20 
0 0 0 
700 $30 $475 
600 30 150 
1, 300 
03 AUM 0 06 


*Assume stumpage value of $0.25/cubic foot. 


Gross growth is 
now 8 million 
— 
ft?’ per year 


but could be 
increased. 


Mortality is probably 


understated... 


and so net 
growth may be 


less than estimated. 


Difference in: 


Volume Removed Net Cost or 


CUSSsEtr Income* 
0 -$60 
400 + 80 
500 +105 
700 +155 
800 +200 
900 +225 


Even though they cannot be measured in monetary terms, 


other key values--scenery, water yield, 
and fire hazard reduction--are also generated. 


recreation, 


Growth and Mortality -- Gross 


private land 


is about 8 million ft 


wildlife habitat, 


aeOweh on State and 
per year. 


A program 


to adequately stock the nonstocked or understocked ance 
could increase the gross growth to about 11 million ft3 


annually. 


Mortality is difficult to estimate, especially with 


the inventory procedures used. 


Also, 


increased insect 


activity since the inventory has made a substantial 
increase in the number of trees dying, and therefore, a 


reduction in net growth. 


There 


is some evidence that 


mortality actually may be 3 or 4 times that calculated 
from the basic inventory data. 


19 


Future timber supplies 
will be influenced 


by land use objectives 
of owners and by 
bringing additional 
areas of CFL under 
management. 


Management objectives 
for State-owned 

land have been 
established. 


Objectives of non- 
industrial private 
owners vary, and 
can change. 


Increased wood prices 
could bring inoperable 
areas under manage- 
ment. 


The estimated annual mortality of softwood growing 
stock and major causes are: 


UM fe? 


Insects V2 
Disease 56 
Weather 36 
Other 2D) 

Total 189 


Opportunities for Increasing Timber Supplies 


Basic factors that will influence future timber 
supplies from State and private lands include: (a) land 
use policies and programs for joint resource use on State 
lands; (b) objectives of nonindustrial private timberland 
owners; (c) technical advances in logging and utilization 
to bring currently inoperable areas under management; and 
(d) management money for stocking control. 


A fully integrated resource use and protection posture 
is State policy, and land use policies and management 
objectives are already established. Management will be 
directed toward enhancing scenic values, recreation 
opportunities, and critical winter range for deer and elk, 
toward protecting the critical watersheds, reducing 
wildfire hazards, controlling mountain pine beetles, and 
maintaining the timber stands in a productive condition. 
Proposed timber supplies that reflect these nontimber land 
use objectives have been established for these lands and 
are included in the county timber management plans. 


The intent of small private 
owners, largely farmers, who hold 
much of the non-Federal CFL is an 
important matter. Although cut- 
ting has been increasing on such 
lands, substantial areas of other- 
wise productive forest land are 
being withdrawn from timber use 
in favor of summer or year-round 
homesite development. In 1960, 
the area of CFL in farmer owner- YY Yl 
ship was estimated at 224,000 1960 1977 
acres, some 70,000 acres more 


than V977> (Cb). 


Farmer Owned CFL 


yf 
YU 


The CFL now considered inoperable supports a good 
supply of timber. Harvesting it without damage to other 
important resources is not possible at the present. The 
price of wood will influence the speed with which cable, 
balloon, or helicopter techniques wil] 


* 


20 


invade the Black Hills. 


Access to timber is 
good. 


Regeneration is a 
naturale 


but usually comes 
in too great numbers. 


Continued thinnings 
will be necessary... 


and much material 
will be available 


for pulp, posts, 


and poles. 


A major increase 
in timber output 
would mean giving 
up other forest 
values. 


Markets for 
merchantable 
material and 
management money 
are key items for... 


Access is not much of a problem. Almost all the CFL 
is within 5 miles of a haul road and 90 percent is less 
than 1.5 miles of an existing road. In addition, 90 
percent of the CFL is within 35 miles of a sawmill or 
other wood-processing plant. Access to railroads is not 
quite as good. 


Probably the most critical issue for future timber 
supplies has to do with stocking control. Regeneration in 
cutover stands is generally of little concern to managers 
after harvest. The frequent heavy seed crops combined with 
timely and abundant spring and summer precipitation make 
overstocking of seedlings the rule (1, 2, 3). Forty 
thousand seedlings per acre are not uncommon. 


Such constant and heavy regeneration makes thinning 
a necessity for sustaining a reasonable growth rate and 
concentrating the growth on larger more valuable trees. 


Intermediate thinnings pay 
for themselves through pulp, 
posts, and pole sales. The 
usual management regimen is a 
precommercial thinning, addi- 
tional entries for commercial 
thinning every 20 years, and 
ending with two shelterwood 
cuts for regeneration. 


InTotal -- Aside from 
making maximum timber output 
the sole objective of forest 
management (which would mean 
giving up much, if not all, 
the nontimber values now 
being generated), there are 
only a few ways supplies from 
State and private forest lands 
will be increased. First, 
there needs to be a... 


Precommercial 
and commercial thinnings are requirements to maintain or 


a Continued program of stocking control. 


increase output. Again, maintaining and expanding markets 
now for merchantable small materials are necessary to 
avoid a slowdown in otherwise commercial thinnings. Such 
thinnings on behalf of growing sawtimber trees make total 


2) 


continued and in- 
creased stocking 
Teontnolle 


Better utilization... 


and cutting more 
usable dead wood 
will help. 


Three-fourths of 

CFL area is 

producing all the 
growing stock growth. 


Replacing slow or no- 
growth trees with 

GS trees would 
theoretically 
increase output 

about 4 million 


S252 6 4M eee 
ft?’ per year. 


But it probably 
won't happen for 
at least 30 years. 


Logging techniques 
not now being used 
in western South 
Dakota... 


and more management 
money are the keys 
to capturing wood 
from the now 
inoperable area. 


management less expensive (net income rather than net 
cost action) and reduce the volume of usable wood left 
lying in the woods. Which brings up... 


MB Increased utilization. Better utilization of 
usable wood during logging operations could increase 
wood supplies. Present logging residues are estimated 
to be about 700,000 ft? per year. 


Mill residues are being well utilized at the present 
except for sawdust and shavings. Slabs, edgings, and 
trimmings are being converted into chips and most of the 
bark is being utilized (11). But, meanwhile, back in 
the woods, there are lots of... 


MB Salvable dead trees. The volume of products realized 
from dead trees could be increased. -In 1974, the total 

of such volume was 114,000 ft? for all ownerships. That 
represents only 0.2 percent of the total volume of salvable 
dead material. If more such trees could be economically 
removed, not only would timber supplies be increased, 

but there would also be room for... 


WB More growing stock trees. It is estimated that only 
about 183,000 acres (75 percent of total) of State and 
private CFL are occupied with growing stock (GS) trees. The 
Open area and that occupied by cull or dead trees and stag- 
nated stands contribute little to current growth. In effect 
then, the approximately 8 million ft? of gross growth 

is being generated on three-fourths of the area. It would 
seem reasonable that getting the nonproducing area stocked 
with growing stock trees would increase growth and there- 
fore supplies of timber. The theoretical possibility is that 
the potential of 12 million ft? per year can be achieved. 


Here is a situation that is, however, probably only 
masquerading as a 4 million ft? opportunity. Nearly a 
third of the CFL is now inoperable and the acreage of the 
inoperable area not stocked with GS trees is not known. Also, 
establishing more GS trees on understocked operable areas can 
only happen gradually over the next 30 years, the planned 
period for achieving regulation. In the long run, the biggest 
opportunity for increasing supplies is to... 


|| Bring as many inoperable areas as possible under 
management. The areas totaling 90,000 acres now included 
in the ''inoperable'' category have the potential to grow 
nearly 3 million ft? per year. Probably not all such 
areas can be brought under management. But, getting even 
part of the potential will require two important things: 
logging techniques not now being used to manage the new 
stands and money. 


Such high-priced methods as balloon, cable, or heli- 
copter logging will result in higher prices for the 
products generated. More management money will be required. 
It costs more to operate on steep slopes than on flat 
ground. Also, there will be more acres to treat annually 
once the steeper slopes in the inoperable area are opened up. 


22 


ABOUT THE BLACK HILLS NATIONAL FOREST 


Planned management 
of the timber 
resources of the 


Black Hills National 


Forest will... 


increase timber 


output to 190 
milion IbdEh eee: 


provide more varied 
and pleasing land- 
scapesy.. 


Resource Use and Management Direction 


Use and management of the resources of the Black Hills 
National Forest are directed toward sustaining the high 
quality environment while capturing the multiple benefits 
potentially available from the existing resources (12). 


Major objectives are to enhance key values of scenery, 
recreation, and wildlife, as well as providing timber, 
watershed, and range values. And one of the most important 
vehicles for achieving these goals is manipulating the 
timber resource. 


Consequences of Timber Management 


The timber management proposed 
for the Black Hills National Forest® 
will result in an annual output of 
36 million ft? of roundwood, (190 
million bd.ft. Scribner rule or 213 
million, International 1/4-inch rule), 
a substantial increase over current 
output (152 million bd.ft. Scribner). 
All associated resource values will 
be affected in a positive way, even 
though planned timber output will not 
reach as high a level as would be 1977 2000 
possible if the goal were to maximize 
timber production. 


Wood Output 


Recreation 


Recreational use of the National 
Forest is expected to rise to an 
estimated 3 million visitor-days by 
1990. Scenery is important to Black 
Hills visitors, else they would not 
be there. Increased harvesting and 
thinning will reduce the visual 
monotony of dense stands and 
create a more varied landscape. 


Visual Quality —> 


1977 2000 


6The effects of management are from the final Environ- 
mental Impact Statement for the timber management plan 
on the Black Hills National Forest (12). 


23 


Water 


increase water Reducing stand densities will provide more water. 
supplies by 7,500 Planned management is estimated to increase surface flow 
acre feet... by 2,000 acre-feet per year and subsurface water by about 


5,500 acre-feet during a year of average rainfall. More 
snow will reach the ground and drift. This will result in 
a slower and larger addition to streamflows in the spring. 


Grazing and Wildlife 


Planned management activ- 
ities for the timber will in- 
crease both the acreage avail- 
able for livestock arazina and 
the amount of herbage produced. 
Also, wildlife habitat will 
increase in area and quality. 
The values so generated by 
increased tree removals are 
substantial. 


Water Quantity 


1977 2000 


To maximize wood output, stands should be maintained 
double big game browse at about 120 to 140 ft2 of basal area per acre. At such 


and provide a three- density, herbage production is only about 60 pounds per 
fold increase in acre (9, 12). If a cow could walk through such a stand, 
grazing potential... she would need about 32 acres of it to feed herself and 


her calf for a month, at the recommended utilization rate 
of 40 percent. 


At the planned stand 
density of about 80 ft? 
of basal area, there will 
be 260 pounds of herbage 
per acre (9, 12), requir- 
ing only about 10 acres to 
feed them for a month. That 
is more than a threefold 
increase in qrazing capac- 
ity over that from a program 
to maximize wood output. In 
addition, wildlife browse 
production will double to 
40 pounds per acre per year. 


Available Forage 


1977 2000 


Other Effects 
The proposed timber management plan would also help 
and reduce mortality control the present mountain pine beetle outbreak and 
from pine beetles reduce chances for future losses by increasing the vigor 
and potential loss of stands susceptible to attack. The overall effect would 
to wildfires. be to reduce mortality and increase net growth. 


24 


The key issues are 


maintaining markets 


for small-size 
GRrEES. .. 


and adequate 
management money. 


In addition, the poten- 
tial for destructive wild- 


> 
fires will be reduced and 3 
so also the probability of s 
loss of timber and associ- 2 
ated resource values. 2 
ie 
o 
Ww 

1977 2000 


Key Issues for Future 


The prospects for the future of the resources of the 
Black Hills National Forest pivot on the same basic 
issues as for State and private lands: markets and manage- 
ment money. 


If lack of markets for small trees slack off, thinning 
may become more costly. Fewer acres would be treated 
annually and the total benefits associated with the sched- 
uled thinning would be reduced. 


25 


PUBLICATIONS CITED 


Alexander, Robert R. 

1974. Silviculture of central and southern Rocky Mountain forests: a summary of 
our knowledge by timber types. USDA For. Serv. Res. Pap. RM-120, 36 p. Rocky 
Mt. For. and) Range: Exp. (Stne. Pty Collins; toile: 

Boldt, Charles E. 

1970. Sequential thinnings boost productivity of a ponderosa pine stand in the 
Black Hills of South Dakota. USDA For. Serv. Res. Note RM-172, 7 p. Rocky 
Mt. For. and Range Exp. Stn., Ft. Collins, Colo. 

Boldt, Charles E., and James L. Van Deusen. 

1974. Silviculture of ponderosa pine in the Black Hills, the status of our 
knowledge. USDA For. Serv. Res. Pap. RM-124, 45 p. Rocky Mt. For. and Range 
Exp Stk, Bt.7 Coliduns, Coliox 

Caporaso, A. P. 

1964. Forest area and timber volume in western South Dakota. USDA For. Serv. 

Res. Note INT-20, 4 p. Intermt. For. and Range Exp. Stn., Ogden, Utah. 
Choate, Grover A., and John S. Spencer, Jr. 

1969. Forests in South Dakota. USDA For. Serv. Resour. Bull. INT-8, 40 p. 

Intermt. For. and Range Exp. Stn., Ogden, Utah. 
Green, Alan W. 

1976. Assessing the timber situation on a working circle using inventory data. 
USDA For. Serv. Res. Pap. INT-183, 43 p. Intermt. For. and Range Exp. Stn., 
Ogden, Utah. 

Green, Alan W., and Theodore S. Setzer. 

1974. The Rocky Mountain timber situation, 1970. USDA For. Serv. Resour. Bull. 

INT=105 75°p.." intermts For. and Range: Exp, Stni.5).0gden),, Utah. 
Hinds, Thomas E. 

1971. Decay of ponderosa pine sawtimber in the Black Hills. USDA For. Serv. 

Res. Pap. RM-65, 11 p. Rocky Mt. Fon~ and Range Exp. Stme, Ft. Collins, Colo. 
Pase, Charles P., and Richard M. Hurd. 

1957. Understory vegetation as related to basal area, crown cover, and litter 
produced by immature ponderosa pine stands in the Black Hills. Im Proc. Soc. 
Nile IOlko8 SPECS y Weiag 5) [es 

Progulske, Donald R. 

1974. Yellow ore, yellow hair, yellow pine--a photographic study of a century 
of forest ecology. South Dakota State Univ. Agric. Exp. Stn. Bull. 616, 169 p. 
Brookings. 

Setzer, Theodore S., and Michael K. Barrett. 

1977. Western South Dakota timber products output and plant residues. USDA For. 

Serv. Res. Note INT-233, 7 p. Intermt. For. and Range Exp. Stn., Ogden, Utah. 
USDA Forest Service. 

1977. Environmental statement for timber management plan for the Black Hills 

National Forest. USDA For. Serv., RM Reg., Lakewood, Colorado. 


26 


APPENDIX 


Glossary and Tables 


Forest land 


Commercial 
forest land. 


Deferred 
forest land 


Unregulated 
forest land 


Noncommercial 
forest land 


Productive- 


reserved forest 


land 


Unproductive 
forest land 


Nonforest land 


Glossary 
Land Use Classes 


Land at least 16.7 percent stocked by forest trees 
of any size, or formerly having had such tree cover, and not 
currently developed for nonforest use. (Note: Stocking is 
measured by comparison of basal area and/or number of trees, 
by age or size and spacing with specified standards. The 
minimum area for classification of forest land is 1 acre. 
Roadside, streamside, and shelterbelt strips of timber must 
have a crown width of at least 120 ft to qualify as forest 
land. Unimproved roads and trails, streams, or other bodies 
of water or clearings in forest areas shall be classed as 
forest ho lessmthanm!|ZOeftonnmwidthy) Also see definitions 
for land area, commercial forest land, stocking, unproductive 
forest land, and water. 


Forest land producing or capable of producing crops 
of industrial wood and not withdrawn from timber utilization 
(Note: Areas qualifying as commercial forest land have the 
capability of producing in excess of 20 ft3 per acre per year 
of industrial wood under management. Currently inaccessible 
and inoperable areas are included, except when the areas 
involved are small and unlikely to become suitable for 
production and industrial wood in the foreseeable future. ) 


National Forest lands that meet productivity standards 
for commercial forest, but are under study for possible 
inclusion in the Wilderness System. 


Portions of commercial forest land and the noncommercial 
forest land that will not be utilized for sustained timber 
production. 


(1) Unproductive forest land incapable of yielding 
crops of industrial wood because of adverse site conditions, 
and (2) productive-reserved forest land. 


Forest land sufficiently productive to qualify as 
commercial forest land, but withdrawn from timber utiliza- 
tion through statute, administrative designation, or 
exclusive use for Christmas tree production. 


Forest land incapable of producing 20 ft? per acre 
of industrial wood under natural conditions, because of 
adverse site conditions. (Note: Adverse conditions include 
sterile soils, dry climate, poor drainage, high elevation, 
steepness, and rockiness.) 


Land that has never supported forests and lands formerly 
forested where use for timber management is prevented by 
development for other uses. (Note: Includes areas used 
for crops, improved pasture, residential areas, city parks, 
improved roads of any width and adjoining clearings, 
powerline clearings of any width, and 1- to 40-acre areas 


28 


Ownership 


National Forest 


land 


Bureau of Land 


Management lands 


Miscellaneous 
Federal lands 


Other Federal 
lands 


State, county, 
and municipal 
lands 


Other public 


Farmer-owned 
lands 


Forest industry 


lands 


Forest types 


Major forest 


type 


Commercial 
species 


of water classified by the Bureau of the Census as land. 

If intermingled in forest areas, unimproved roads and 
nonforest strips must be more than 120 ft wide and clear- 
ings more than | acre in size to qualify as nonforest land.) 


Qunershtp Classes 


Property owned by one owner, regardless of the 
number of parcels in a specified area. 


Federal lands that have been legally designated as 
National Forest or purchase units and other lands under 
the administration of the Forest Service, including 
experimental areas and Bankhead-Jones Title II! lands. 


Federal land administered by the Bureau of Land 
Management. 


Federal lands other than National Forest lands, lands 
administered by the Bureau of Land Management, and Indian 
lands. 


Federal lands other than National Forest lands, 
including lands administered by the Bureau of Land 
Management, Bureau of Indian Affairs, and other Federal 
agencies. 


Lands owned by States, counties, and local public 
agencies or municipalities, or lands leased to these 
governmental units for 50 years or more. 


All Federal lands other than National Forest lands, 
and State, county, and municipal lands. 


Lands owned by farm operators. (Note: These exclude 
land leased by farm operators from nonfarm owners, such as 
railroad companies and States.) 


Lands owned by companies or individuals operating 
wood-using plants. 


Forest Type and Tree Spectes 


A classification of forest land based upon the species 
forming a plurality of live-tree stocking. (Note: Types 
shall be determined on the basis of species plurality of 
all live trees that contribute to stocking; that is, up to 
a maximum of 16 percent at each plot point based upon a 10- 
point location.) 


A grouping of local forest types into about 10 eastern 
and 10 western groups. The groupings are based upon 
similar and associated species. 


Tree species presently or prospectively suitable for 
industrial wood products. (Note: Excludes species of 
typically small size, poor form, or inferior quality, such 
as hawthorn and sumac, scrub willow, and alder.) 


29 


Noncommercial 


Species 


Sof twoods 


Hardwoods 


Growing stock 


trees 


Rough trees 


Rotten trees 


Cull 


Salvable dead 


trees 


Mortality trees 


Diameter classes 


Tree size 
class 


Seedlings 


Saplings 


Tree species of typically small size, poor form, 
or inferior quality that normally do not develop into 
trees suitable for industrial wood products. 


Coniferous trees, usually evergreen having needles 
or scalelike leaves. 


Dicotyledonous trees, usually broad-leaved and 
deciduous. 


Class of Timber 


Live trees of commercial species meeting specified 
standards of quality or vigor; excludes cul] trees. 


(1) Live trees of commercial species that do not 
contain at least one 12-foot saw log or two noncontiguous 
saw logs, each 8 ft long or longer--now or prospectively-- 
and/or do not meet regional specifications for freedom 
from defect primarily because of roughness or poor form; 
(2) all live trees of noncommercial species. 


Live trees of commercial species that do not contain 
at least one 12-foot saw log, or two noncontiguous saw logs, 
each 8 ft long or longer--now or prospectively--and/or do 
not meet regional specifications for freedom from defect 
primarily because of rot; that is, when more than 50 percent 
of the cull volume in a tree is rotten. 


Portions of a tree that are unusable for industrial 
wood products because of rot, form, or other defect. 


Standing or down dead trees that are considered 
merchantable by regional standards. 


Growing stock trees dying from natural causes 
during a specified period, usually annually. 


Diameters and Size Classes 


A classification of trees based on diameter outside 
bark, measured at breast height (4-1/2 ft above the ground). 
(Note: ''d.b.h.'' is the common abbreviation for diameter at 
breast height. Two-inch diameter classes are commonly used 
in Forest Survey, with the even inch the approximate 
midpoint for a class. For example, the 6-inch class includes 
trees 5.0 through 6.9 inches d.b.h., inclusive.) 


A classification of trees based on diameter at breast 
height, including sawtimber trees, poletimber trees, and 
saplings and seedlings. 


Live trees less than 1.0 inch d.b.h. 


Trees 1.0 to 5.0 inches d.b.h. 


30 


Poletimber 
trees 


Sawt imber 
trees 


Net volume 


Growing stock 


volume 


International 


1/4-inch rule 


Gross growth 


Net annual 
growth 


Mortality 


Allowable cut 


Timber 
removals 


Timber 
products 


Trees at least 5.0 inches d.b.h., but smaller than 
sawtimber size. 


Trees exceeding poletimber size. In the Intermountain 
States, the minimum d.b.h. for softwood sawtimber is 9.0 
inches and for hardwoods 11.0 inches. 


Volume 


Gross volume less deductions for rot, sweep, or other 
defect affecting use for timber products. 


Net volume in cubic feet of live sawtimber trees and live 
poletimber trees from stump to a minimum 4.0 inch top (of 
central stem) outside bark. Net volume equals gross volume 
less deduction for rot and missing bole sections. 


The standard board-foot log rule adopted nationally 
by the Forest Service for the presentation of Forest 
Survey volume statistics. 


Growth and Mortaltty 


Annual increase in net volume of trees in the 
absence of cutting and mortality. The total includes 
ingrowth and accretion. 


The increase in net volume of a specified size 
class for a specific year. (Note: Components of net 
annual growth include the increment in net volume of trees 
at the beginning of the specific year that survive to the 
year's end, plus the net volume of trees that reach the 
size class during the year, minus the net volume of trees 
that died during the year, minus the net volume of trees 
that became rough or rotten during the year.) 


Number of sound-wood volume growing stock trees 
dying from natural causes during a specified period. 


Timber Cut 


The volume of timber that could be cut on commercial 
forest land during a given period under specified manage- 
ment plans aimed at sustained production of timber products. 


The net volume of growing stock trees, removed from 
the inventory by harvesting, or by such cultural operations 
as timber-stand improvement, land clearing, or changes in 
land use. 


Roundwood products and plant byproducts. (Note: Timber 
products output includes roundwood products cut from 
growing stock on commercial forest land, and from other 
sources, such as cull trees, salvable dead trees, limbs, and 
saplings, or from trees on noncommercial and nonforest lands, 
and from plant byproducts. ) 


SHI 


Roundwood 
products 


Plant 
residues 


Logging residues 


Other 
removals 
Rotation 


Industrial wood 


Site class 


Stand-size 
class 


Sawt !mber 
stands 


Poletimber 
stands 


Logs, bolts, or other round sections cut from trees 
for industrial or consumer uses. (Note: Includes saw logs, 
veneer logs, and bolts, cooperage logs and bolts, pulpwood, 
fuelwood, piling, poles, hewn ties, mine timbers, and 
various other round, split, or hewn products.) 


Wood materials from manufacturing plants not utilized 
for some product. (Note: Includes slabs, edgings, trimmings, 
miscuts, sawdust, shavings, veneer cores and clippings, and 
pulp screenings.) 


The unused portions of trees cut or killed by logging. 


The net volume of growing stock trees removed from 
the inventory by cultural operations, such as timber stand 
improvements, land clearing, and changes in land use. 


The period of years between establishment of a 
stand of timber and the time when it is considered to be 
ready for cutting and regeneration. 


Qualtty 
All roundwood products, except fuelwood. 
Site 


A classification of forest land in terms of inherent 
capacity to grow crops of industrial wood. 


Site classifications are based upon the mean annual 
growth of growing stock (not including thinnings) attain- 
able in fully stocked stands at culmination of mean annual 
growth. Height-age relationships are usually used as 
indicators of the specified volume-site class. 


Stand Stze Classes 


A classification of forest land based on the size 
class of growing stock trees on the area, that is, saw- 
timber, poletimber, or seedlings, and saplings. (Note: 
Only those trees that contribute to no more than 16 percent 
stocking at a plot point, based upon a 10-point location, 
will be considered in determining stand-size class.) 


a. Stands at least 16.7 percent stocked with 
growing stock trees, with half or more of total stocking 
in sawtimber or poletimber trees, and with sawtimber 
stocking at least equal to poletimber stocking. 


b. Stands at least 16.7 percent stocked with 
growing stock trees in which half or more of this 
stocking is in poletimber and/or sawtimber trees, and 
with poletimber stocking exceeding that of sawtimber. 


B2 


Sapl ing-seedling c. Stands at least 16.7 percent stocked with 
stands growing stock trees in which more than half of the 
stocking is saplings and/or seedlings. 


Nonstocked d. Commercial forest land less than 16.7 percent 
land stocked with growing stock trees. 


Stand Denstty and Stocking 


Stand density A quantitative measure of a stand in terms of square 
feet of basal area, number of trees, or volume per acre. 
It reflects the degree of crowding of stems within the area. 


Stocking A relative term used to describe the adequacy of a 
given stand density in meeting the management objectives. 


Basal area The cross-sectional area of a tree stem, in Square 
feet, at a point 4.5 ft above the ground. Basal area per 
acre is the sum of the basal areas of all the trees on the 
acre. 


Growing stock Basal area (square feet) per acre that will remain after 
level thinning when average stand diameter is 10 inches or more. 


33 


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S* 782 O°LEz beep =z =- -- 0°02 L°st ep -- -- -- = -- -- -- -- -- zt 6° Os -- -- == €*192 bozz BBE 14 = oo 
s°9 6" oT == == = =- == = == a= == ae = == == = == = = Sy) ep oT = = = 
(iP Lt -- -- —_ me on a os me as a = =e os = = a = =e a ya a we “ “ et ex ae ae 
evr el -- -- -- -- = -- -- eas =a Soe -- on 2 ee a = ae a = = cert €°T = = = a5 
S*b 62 90 == =- -- = -- -- -- -- -- =- == -- -- = -- Ss = _ a os Sor 5 6'Z 9°T as om -- 


Swe 6° Se Cam == = 9 == Ey == == = == == = == == 

S*L 6 Sees Wat -- -- 9° -- 3° -- -- -- =e -- -- -- -- -- () -- () -- -- -- 69 6 6'b Let == == 
SS6e S956 O88 O'T == == 6 BE QrbemeceS == == = == == = = == oz ard ca == == == O° bSE (ESOC GianeLe Ema OME == == 
> or = = = = Ss = == = = == = = = = = = = = = = = Tags or = =e = = 
Z°LT 9°9T 9° -- -- -- Bre cE o -- -- -- = -- -- -- -- -- z z (oy) -- -- --  7eT wet = -- -- -- 
CLOT EL IOl) | tte = -- -- LST 2 -- -- -- -- -- -- -- -- at UT Ty -- -- -- £706 €°06 == -- -- -- 
Score, acsOeup —w'696) SO°T -- -- eT ZS eee -- -- -- = -- -- -- -- -- cand 6'0 £°0 -- -- --  6*6b2 9°92 e°ze- 0° -- -- 


Sau0D | pUuDEnoyy i=" =a = Se Te Ee. ag orcad ae oo aaa me 
$8-0S =6TT-S8*P9T-OZT*+S9T * 6v-07 + p8-OS *6TT-SB?P9T-OZT?+S9T* d 
SSETO 9397S Tee OLRTs SSeTO 0397S UE 

Aaysnpuy yser10g 5 OFtqnd 20430 : 


= 6b-07 b8-OS =6T1-S8*P9T-OZT#+S9T? [eI0L + 6-02 = PB-O0S *6TT-S8:b9T-OCT?+S9T: : 


g SSPTO 39TS f : SSPTO 99TS 2 ESBS 
sdtyszeumo T1W azeATAd 29430 


6p-07 ¢ 


Te3OL 6p-07 = bB8-OS *6TI-SB8*b9T-OZT*+S9T 
: SSETO 99TS 


4SeI0qZ TEUOCTIEN 


TeqoL 
pex03SUON 
Bbuy{Tpees pue buttdes 
Tequtzetod 
zaquyrqzaes 
:sedAZ 4sez103 TIW 


TeIOL 
pex203SUON 
buyTpees pue buttdes 
ZequyzeTod 
xequyqwes 
= Spoomp1zeH 


TeqOL 
pex03SUON 
BurTpees pue butTdes 
ZequytjzeTod 
TSMUTAMES 
seonads-aTg 


TeqOL 
pax03SUON 
but{Tpess pue BbuttTdes 
zaqutzeTod 
Zaquyrqaes 
:eutd esozrepuog 


Te;0L 
pexd09SuON 
5uttTpees pue burtdes 
tequyzeTod 
TEqUTZMeS 
:sedAQZ 4Se103 TI 


TeIOL 
pex903SUON 
buy {pees pue buttdes 
ZequtzeTod 
AOqUT AMES 
: SPOOMP2eH 


TeIOL 
pex03SuON 
HuttTpees pue burtdes 
zequt3eTod 
ZEqUTAMeS 
saonids-1ata 


TeqOL 
pex203SuON 
Sut Tpees pue buttdes 
zequyzeTod 
ZequtqMes 
:eutTd esozepuog 


SSPTO ezTs—pueqs 
pue adA3 yse10g 


saT}UNOS TTW 


uojbutuued 


Ajuno9 


a —@®HAYD 


(*uoo) "Ee eTqeL 


‘a[TNA YOUT-P/T TeuoTzeureAUl 


ZES‘9D9 = ZZLIOLZ v10‘869'P 897'ST9‘S ZES ‘607 -- T99‘6L LoB‘Ese'T 090‘E79'T setoads [tv 


vEO'OT ae Tc6 98e'L Tve‘ ST yss'9 = vS8 €88'8 T6z‘9T SPOOMp1AeH 
86P'9E9 == T08 ‘692 879‘ 069'D L£76‘96S°S 8L6‘ 7202 == L£08‘8L V86‘PPE'T 69L‘979'T SpooMmy gos 


SeTqUNOS TIw 


7Sv'6TT Sa Ts6‘9 SPL‘ LL8'T 8rT‘7o0’z 400'SP == 66L'2 €00‘ TPS 608‘88S setoeds TIy 
96L =5 80 6tS‘z SEE 800 == 87 O8T’€ 959'€ spoompizeH 
9S9'8TT == €06'9 9T7‘SL8‘T SLL‘000'2 6SS‘ bP == TOLLS? €7e‘Les €ST‘S8S Spoom 730s 
uojbutuueg 
OT9‘EPE == ZET‘6P ZVL‘Ove'’T VEP‘eceL'T LT6‘'96 == L8T‘vT O7T‘OBE p77‘ tev setoeds TIy 
£90'Z == ITE OLT‘? 8ys‘9 cpe‘e == OSS v77'v 9T9'8 SPOOMpATeK 
€vVS‘ TE ae 128’sP ZLS‘9EE‘T 9€6‘97L‘T SLO‘ £6 => LEQ‘ET 968'SLE 809'780 SPOOMAIOS 
aouermMey 
6PL‘ er == 000‘S Z9v'PL TCAISTALY GLE‘OT == sTs‘T OET ‘Ez €ze' Tp setoeds TIv 
OLT == Le 6 90¢ leks) == 8 80 90T spoompzeH 
6LS‘€D == €L6‘'D €SP'PL SOO‘ EzT SZe ‘OT == ots ‘T Z80°E7 LTz‘Tv SpOOM4soOs 


ABATY TTed 


OTP’ s9 = eve’ Let 7S8‘Tre'T S09‘ 70S‘T pSe'Sz == 922/95 OTP‘ 9SE 068‘LEP setoeds [tv 

06 == S T6E€ 980 BET a Tt TS aE OTP‘T SpoompireH 

oze’s9 =. BEE LET Ton‘ Te7'T 61IT‘POS‘T 9T0'Sz == S8T‘9S 6L7‘'SGE O8b'‘9ED Spoomyzyos 
ze4sno 

TIE! vl == 962‘ZT ET?‘ E9T 028‘ 6b2 6L6‘'SZ co Te9'P voc‘ es pis‘es setosds TTy 

T16'9 SS O€sS L82 SCLEE 9L6‘T == Lee OO€ €0S‘zZ SPOOMPAPH 

007‘L9 =5 99L‘TT 976‘Z9T 760‘ 77 €00‘ PC == vor’? v06‘7S TEES Spoomzyos 


apesy, ‘burpzey ‘oqqnd 


Se a a PO SOG PUR SNOU IT a =i eae eng eet ------- - - gaaf o1gnd puosnoyzs - -------- 
eqzeatad : Azjsnput : STrTqna =: qsert0y : sdnoib > e3eatTad : AazQRsnput : oOT{Tqnd : 4serog : sdnozb : Renna 
Z3yUI0 > 4sezo0qg : 23uA0 > [eRUOTIeEN + ZeumMo [Tv : Z3y30 :  4sez0q : 239u30 : TeuotjeN : ZauMO [Ty : at 3 


L261 *220yNDG yZnoOg Usezsan SdnodB aaumo pup “spoompany pun spoomzfos 


‘Hqunoo Aq DU] aqui, 7JoOLOTauUOD UO AEquLZrDS pun yooys Burmoab fo aumzoa qey--*y eTAeL 


39 


ee ed 


O€ ZOT’ LZ 761‘ LZ Lv6‘€ gge'c SEE‘9 978’PT 6bT’PT Sl6'8z T6éz‘9T 694'979'T O090‘EP9'T PE0‘SE 89h’0L9'T 729S‘SOL‘T Set jUNOD TTY 
-- Lv9‘0T Lv9‘0T sSSe‘T £98 81z‘c ZLo’e BECET. 6P6‘L 999'€ €ST‘S8S 608/886 €89‘8 0P6'009 €79‘609 uojbutuuedg 
€T 6@P'L pp‘ L €vs‘T 9LL 619‘Z 8s8'9 9Sb'P PIE‘TIT 919'8 809‘78P pee‘ 6p O€e'LI 697'S6D 66S‘71S SOueTMeT 
-- ZvE ZvE ST 0z SE L8 €6S 089 90T Liz‘ tv €ze‘ Tp 80z TLT‘tP ose'zp ZeATY TTed 
-- ple’L pL8‘L 66P 979 Stila LEV se 866‘E 680‘L OTp‘T O8p‘9ED 068‘LED O0P‘S 826‘8bP BLE‘ PSP zeqsnD 
LT 0L8 L88 SEZ €0T BEE BTL Sze €vS‘T €0S‘z Tie ‘Ts vIs‘€s ELv‘E€ 60T’ES z78S'98 epeow 
‘putpazeH /9q9ng 
-------------------------- - Zaaf aignd pupsnoyy - ----------------- - ee ee eee eee 
SPpOOM : SpoOmM :SeToOSsdsS : SPOOM : SpOOM :SaTOedsS: SpoOM : SPpOOM : SeTOeds : SpOOM : : SetToeds +: spoom : : Setoeds : 
, : 3 5 s SPOOMA FOS : SPpOOM}A FOS : Ajunop 
-pzeH } -330S : TTIW ? -pzeH : -330S : TTIW = -pazeH : -a30S : TIW ? -pazeH : : TTw : -pazeH : : TTIW : 


$o00z} peep eTqeaTtes 


$9023 [TNO ueqQ joy 


s90a3 TINO punos 


yoo 3S HutMor5 


SasseTO AequT? TIv 


2261 %DZOADg YyZnOg uUsezEsem Sspoompavy pub spoomgzfos pun “ssp]a dequiz *Aqunoo fq pun] dequiq 1oLoteuuoD uo caquiz fo eumjzoa Zay--"S eTAeL 


4O 


VI8‘€s €0S“Z TOE’ z Z0Z TLE tS 8L6 eee ‘os TeIOL 
819 v6S v6S ae vz -- vz +0°67 
GE -- == == SE = GE 6°8¢ = 0° L< 
OLD 707 vO? == 997 2S 997 6°97 = 0° SZ 
619 L6 L6 -- 72S 6 €TS 6°02 = O°€Z 
9Z0‘T CEL CEL -- 06 Tv €98 6°GC = 0s ic 
€8P‘Z OS 0S =~ €€p'Z ev o6e‘z 6°0Z - O°6T 
G97‘? raat GEL == EST‘? OL €80‘'P 6°8T - 0°21 
Oe L NES, TE om 68T‘L 08 60T‘L 6°91 = 07ST 
Z7S9‘TT LOT LOT == SvS‘TT BET LOv." Lt 6°VT - O°ET 
Z6L‘ET €0Z TOz Z 68S‘ET 9ZT €9p‘ET ich = OF tb 
TSO‘ LT BETZ Ozz 8T €18‘9T O8T €€9‘9T 6°OT - 0°6 
LO8‘vT CVE 982 9S GOn‘PT S8T O8z‘PT 6°8 - O°L 
OLL‘6 €0D LG 92T ELE‘6 90T L9z‘'6 6°9 = O'S 
epeow ‘butpazey ‘o44n¢g 

-------------- - Zaaf o1gno pupsnoyy --------------- 

setoeds [Te spoompzey : spoompzey : ocee 2 SpoOmMRyFOS : s9oOnAds : SuTd | 3 (SSUudoUT) 
TeqoL Te30L ° 23430 ° : TeI30L ° o4TUM > eBSOASPUOd =: sseTo azsjoWweTp 

SGOOMadAUWH : Sede OUR as OLS : pue Ajunop 


ZZ6I *D2ONDd YyAnog uUsozsem fsa1oeds pun ‘ssv70 AeqZowv1p 
‘Aqunoo fq puvj,Aequrq. 7DLoteWUOD UO YyooZSs bu1modb fo eumMjoa 4ey--° 9 eTAeL 


4] 


068‘LEP ORY AL OL9 OPL O87 ‘9E7 9TO‘OT por ‘97P TeIOL 

G9E 9 9 -- 6SE -- 6SE +0°6Z 

L¥9 -- -- -- Lv9 -- Lv9 6°87 - O°LZ 
BEO‘E € € ~- Geo‘Ee -- Geo‘Ee 6°97 - 0°SZ 
gg8e‘s -- -- -- G8E‘S €€7 ZSGT‘S 6°P2 - O°E? 
SSSeaat S S -- ZE8‘TT STS LTe‘TT 6°72 - O°TZ 
90S‘E€Z Z Z -- VOS‘EZ 819 988‘7Z 6°07 - O°6T 
Pee‘cE L iL a LESEES T99 9IL‘ZE 6°8T - O°LT 
690‘ 6P Z Zz -- LOv‘6P Ope’T Ltt‘ 8P 6°9T - O°ST 
GE9‘E9 OT OT -- Gz79‘€9 68e‘T 9€7'79 6°PI - O°ET 
POS‘EL 09 9S v DPD‘EL €6T‘T TG CAGE Sra = Orr 
896‘PL 61Z Aig (Epa 6PL‘PL Geo‘T TULAeL 6°OT - 0°6 
Z7E6‘E9 LEV VIE €cT G6p‘ £9 VGL' T TVlL‘T9 6°8 - O°L 

O77‘ Ee 659 €7Z 9€0 TOG‘ EE BLL E8L‘ZE 6°9 - 0°S 

azeasng 
-------------- - gaaf o1gnd pupsnoyy --------------- 
setoeds [Te : Spoompzey spoompizeyu usdsy SPOOM}FOS aonads outd (seyoutT) 
moe : TeIr0L : Z9UIO ; 8 TeIaoOL > OQTUM > eSOTBpPUog sseTO ZoOjoWeTp 
: SGOOMaGCUWH : SGT OLOeM DeasOnsS pue AjuNoD 
(*Uu0d) 9g eTqeL 


42 


"JeeF OTGNO puesnoy? c*O ueyI sseT, 


ECE EL 90T ZL VE ELEY, TES 989‘0P Teq0L 
TS =- -- -- TS -- TS +0°6Z 
69 -- -- -- 69 -- 69 6°82 - O°LZ 
621 LE LE -- 76 -- 76 6°97 - 0°SZ 
€62 -- -- -- €67 6 V8z 6°0Z - O°EZ 
S9G -- -- -- S9G 6€ 97S 6°72 - O°TZ 
os7‘T -- -- -- OS7‘T Oz O€c‘T 6°0% - O°6T 
LSE‘ -- -- -- LSE‘Z 6T BEEtT 6°8T - O°LT 
9720‘'P -- -- -- 9720‘ 79 Z796‘E 6°9T - O°ST 
TL8‘S (7) (1) -- TL8°S 80 €78°S 6s Vile =. Omak 
vOL‘9 T iD -- €0L‘9 LL 979'9 6°@T - O°TT 
O¢r’s 62 €Z 9 T6e‘8 vOT L8z’8 6°OT - 0°6 
VeD‘L OT L € PLD‘L per ose‘ 6°8 - O°L 
VOT‘? 67 v G2 SLO‘? LZ 800’? 6°9 - 0°S 
ZPATY [Ted 

-------------- - gaaf o1gned pupsnoyg ---------- er rr oe 

ee ods tte SPOOMpzey spoompizey eae Spoomyyos aonads : autd (SeyoUT) 
Tea01 9 TeWIOL 4 z2y430 8 : TeIOL > = SaTUM : esozepuog : sseTO As Vouetp 

2 SGdOOMadGUWH : SGdOOMLaAOS : pue Ajunop 


(*uod) 9 eTqez 


43 


pes’ Isp 


VCC‘ 16P c{s"*t POT’S 809‘78P PLL‘ OE TeIOL 
TZ6 OLT OLT -- TSL =~ TSL +0°6Z 
vL9 -- -- -- vL9 08 6S 6°82 - O°LZ 
918'2 88 88 -_- 88L‘Z 9E7z CSG ‘2 6°97 = 0°SZ 
SSS 66 6S -- €6P'S STE BLT*S 6° = O°EZ 
tO" Ti Let LET -~ v86‘OT 0L8 VIt’OT 6°72 - O°TZ 
69L‘ Te €S eS -- QTL" Tz LIv‘T 667'0Z 6°0@ = O0°6T 
OEL"* BE LOZ LOZ -- 67S‘ 8E Ete" 2% LTz’9€ 6°8T = O°LT 
TES"ES €L EL -- BLT‘ES Zot‘ 920‘0S 6°9T = O°SGT 
9GS‘0L OST Ost -- 90P‘OL Bg9'€ 8PL‘99 6°vT - O°ET 
€8t’cs €62 8Tt GLT 068‘?8 6777S T99‘6L 6°¢Tt = Ott 
L81‘88 T60‘T L6OE 769 960'L8 1tt'S $86'T8 6°OT - 0°6 
GLE‘ OL veo’z 85S OLb'T Tre ’s9 O6£‘P TS6*¢9 6°8 + O°4% 
€ZO'CP 192" ZOOS" T 6SL‘Z ZOL" LE p00’? BGL‘EE 6°9 = 0°S 
sduUaeAMeT 

-- ee ee ee ee ee + + = Goal O1gnNd pupsnoyg - - -------- - ee ee 

setoads tte : Spoompzey : Spoompzey uedsy SPOOM}zFOS eonads sutd 3 (seyout) 
e707 : Ter0L : A940 : $ TeAOL :  8aTUM 2 esozepuog : sse[O Zoe ZoueTp 

: SGdo0oOoMaGUWH : SGO0OOMLaOS : pue AjuNoD 


(*UOd) 9 STIL 


Kl 


Sa ac a a nee et 


608‘88S 9g9"€ GSe"T TOE"? €ST‘’SBS ZECS ET T76‘S9S TeAoL 
0z9 06 v6 — 92S ~< 9%S +0°6Z 
Ges — -~ -- ses “+ GE8 6°82 - O°LZ 
9ZL‘E 80 8P -= 8L9‘E -- 8L9‘'E 6°97 = O°SZ 
Z0L‘9 as —— sa ZOL‘9 80€ vee'9 67 = 0 eZ 
T86‘€T SL SL -- 906‘ET ZLO PEC "ET 6°7Z =~ 0°12 
009‘ Lz tL ae oS 87S‘ LZ QTT’T Zlv ‘92 6°0¢ + 0°6T 
RGR A S8 Ss 3 209‘'CV €60'T 671’ TP 6 6T = O°LT 
Z9L’7Z9 OV Ov ene ZZL* 79 Ely? 672/09 6°9T = O°ST 
69T’ Ee 92 97 = €vl‘es CLL S TEr’os C°Vt = Glet 
671“ ZOT Z6T T6 TOT Lee" TOT T98'Z 9L0"66 Get = Onte 
€97'SOT DPS Z6T ZSE 616 ‘POT 666'Z 026‘ TOT 6°OT = 0°6 
Z7S0‘68 TO06 E82 819 TST’88 Gti < 6E0'S8 ae} eS (O72 
€v0'0S 6LS'T 6rEe O€7"T v9" 8T 988‘T 8LS'9P 6°9 = O°S 
uojbutuuedg 
------------+ - - Gaaf o1gnd pupsnoyy - - ----------+--- 
a ee ie eer ee 
: SGdOOMadAUWH : Sdoomaibaos : pue AjunoD 


(*u0d) 9 eTqeL 


BS 


nnn EEE Tt SSS 


090‘E€79'T T6Z‘9T OT6‘L T8e“8s 69L‘979'T TEs‘ T9 BE7‘S9G‘T TeIOL 


GLS‘Z 798 798 -- ea eee -- WEY +0°6Z 

097‘Z -- -- -- 097‘z 08 OsT‘z 6°82 - O°LZ 

6E7‘OT O8€ Ose -- 6S8‘6 9EZ €79'6 6°97 - 0°SZ 

TSS‘8T 9ST 9ST -- S6e‘8Tt vL8 KAGE 6°72 - O°E7% 

OS‘ 8E 6EE 6E£ -- T6T‘8E LETS 7SO‘9E€ 6°22 - O°TZ 

809‘9L (bf EEG -- TEp‘OL pIz‘e CHEE 6°02 - O°6T 

697‘ TZT Il? Tl? -- 8S0‘TZT GGG‘? €0S‘9TT 6°8T - O°LT 

B7L‘9OLT OPT OPT -- 78S‘9OLT 600‘/L ELS‘69T 6°9T - O°ST 
\O 
=> 

€88‘PEZ €62 €62 -- 06S’PEZ Gp6‘L Gv9‘97Z 6°PVT - O°ET 

ZTE‘ T8z 60L LOD 782 €9S‘08Z 9876 LEOSEL? 6°7@L - O°TT 

680‘ 6Z AE e¢e VL8 LUC 896‘T6z 67Z0’OT 6£€6‘T8Z 6°OT - 0°6 | 

0S9‘SPZ GIL 8tP'T 9L7‘Z 976‘ Trz S9T‘6 LOLS? 6°8 -O°L 

99T‘ OPT TE6‘9 GSe’zZ OLS‘ GET‘EET T08‘9 PEv‘9OZT 6°9 - 0°S 


soTtqzunod TTIW 
-------------- - gaaf o1gnd pupsnoyg - -------------- 


sotoeds [Te + Spoompzey SPOOMpreY i See > Spoom3yos : oonads : outd : (seyouT) 
Teq,OL SI RSRIONG eR a eNO) SUE Ane eas MeO weer Riciee it SSCTD TeZoOWeTpP 
: SEG5O) OuMeG Mia cH : Sd2O7OuMelndeOas : pue AQuNoD 


(*U0d) 9 eTqeL 


078‘6PZ 87L‘L STL‘L ET ANOMEA LA L720‘ G90‘8EZ 
6L7‘E OVT‘e OVT‘E -- 6E€T == 6E€T 
661 -- -- -- 661 -- 66T 
L8S‘Z Tvo'T TvO'T -- 97S‘T == 97S‘T 
KASES LLY LLY -- PVO‘E 6S G86‘Z 
6L9'S €09 €09 -- 90'S 0Sz 978'P 
DEG‘ PT Dre DET -- 069‘PT 092 O€P' PT 
60S‘ bz 99S 99S -- €86‘EZ O@P €9G‘EZ 
900‘6€ GST SST -- TS8‘8E€ LLD PLE‘8E 
UOETES L2s Les -- V6T‘LS LT8 LLE‘9G 
L60‘9S SLE 796 €T ZZT‘SS EEL 68E' PS 
807‘ 7P ) @) 0) 8bc'7P eLOnmE BEG. LY, 


---- - - - - 87nd Yout-p/T TDUO14DUAeZUT *Zeef Pavog puwpsnoyg - - - ---- - 


TeIOL 

+0° 67 
teas <0) (Le 
639 Ca Ome 
Gave sO RES 
65C. Ca = OME 
650 /Ca= SOR 
638E =) OAT 
629 =F OmSir 
Gavile=sOR er 
6k ORE 
6°OT - 0°6 


epeo, ‘Hbutpzey /944ng 


: a eu Ss : fore) 2 nad 5 3 ou 
setoeds {Te spoompizeu spoompizey moder SpOomM3 FOS sonads utd (SSyoUuT) 
TeAOT : Te AOL : Z39uUI0 3 A TeqIOL > «O8aTUM 2 eSOZepUuog sse[TO ZeRZoweTp 
: SGOOMdAUWH : S°a0 O ML 4 OS pue AjunoD 


ZZ6L *DLOND YANog uUsojzsem fsai1oeds pup ‘*ssv7a deqzouw1p 
‘fiqunoo Aq pun] dequz2 JDLateuuoD uo daquiqzaws fo aUNzOA 7eN--* 12 eTAeL 


A 


S09’P0S‘T 980 890 8T 6TT‘POS‘T 960‘0P €Z0’09P‘T TeIOL 


age te ve ve == 96T‘Z che 96T‘Z +0°6Z 
TZE€ -- -- -- Reese == lene 6°ee = 0° £e 
6S2'LT aT. [AE -- eve 20 =~ Cte LE 6°9% - O°GZ 
ofr‘ oe -- -- -- Of‘ O€ OLP‘T 096‘8z 6°PZ - O°E% 
LOL‘ S9 vz PZ -- EPL‘S9 LOT‘E 9Lg'z9 6°ee = O'le 
T8S‘8ET OT OT -- TLS‘8€T GELo© Svs ‘PET 6°0% = O°4T 
066‘88T OV Ov -- 0S6‘88T 796‘E 986‘P8T 6°8T - O°LT 
L7L‘ 792 VT vT =- STE C9 GOv‘L 80€‘SSZ 6°9T = O°ST 
999‘90€ 0S 7S -- Z09‘90€ 672‘8 ELE‘86Z 6°?T - O°ET 
9L8‘L6Z €6Z SLZ 8T €89‘L6Z L76‘9 9S9‘06Z 6° eéL = Ont 
89€‘O6T ) ) fo) 89€ ‘O6T 807 ‘6 O9T‘ TST 6°OT - 0°6 
zeysnod 


-- - - + = - - 87M YOUI-f/[ TDUO1ZDUAEQUT “Zoef Pavog pupsnoyy - - ----- - 


soetoeds tre 7 Spoompzey > Spoompzey : uedsy + SPOOMAFOS : sonads 3 outd : (seyoutT) 
ener $ TeI0L : Z39UI0 : : TeI20L > O3TUM : eBSOZTepuog : sseToO zs jeueTp 
: SGdOOMdCUYVH 3 Sd O70. M ht O0S 2 pue AjunoD 


(*uoo) £ eTqeL 


48 


Tte*eer 902 902 -= GOO’ECT v7z'Z T8L‘O7T TeIOL 
6PE -- -- -- 6PE -- 6PE +0°6Z 
TS? oa ated -- TS? = ISP 6°8Z - O° Le 
LTé L6T L6T ~ OzS ~ OzS 6°9Z - O°SZ 
BOLT 7 = —- 89L‘T LS REESE 6°VS = O°EZ 
osz‘€ == = =~ ogz*e GEZ STO‘E 6°22 - O°T2 
ETS *é -- == ald eta’ sé Eat Té6ée‘L 6°0Z - O°6T 
€tS‘ET -- -- -- ESET SIT GOP‘ET 6°8T - O°LT 
969 TZ “= -= == 969‘ TZ P8e ETE ‘TZ 6°9T - O°ST 
Sv9'8z Z Z ~~ €79'8z v8z 6SE‘8Z 6°PT - O°ET 
6EE‘9Z £ L -- ZEE ‘OZ CUP 068 ‘Sz 6°eT = OTT 
196‘8T 3) @) 0 T96‘8T €8S 8Le‘ST 6°OT - 0°6 
ZOATA TTed 

-~- 7 > mm ONL YOUL-p/] TOUO1ZDUAeZUT Sqeaf Ppabog pupsnoyy ---~---- - 

setoeds TTe : Spoompzey =: spoompzey =: gods 2 SpoomZyjos : eonazds : eutd 3 (seyouT) 
Ter04 : TeWOL : Z24I40 2 3 TeIOL 2 O83TUM R esorzepuod : sseToO ZSjRoueTp 

: SGOOMGUWH ; SGOOMBLaAOS ; pue Aqunop 


(7uQd) 4 eTAeL 


49 


p8P‘EeL’T 87S‘9 979'¢ 776 9€6‘97L‘T LOZ‘ ECT 699‘€09'T TeIOL 


€9S°¢ 786 786 (Re T8s‘P == T8s‘?P +0°6Z 
L06‘€ -- -- -- LO06‘€ ISv 9G7‘E 6°82 - O°LZ 
Go7‘9T 897 897 -- BGLAGit v6C‘T Cpr’ vr 6°97 - 0°SZ 
OL6‘TE LL LTE -- €S99‘TE 876‘T G7L‘6Z2 Ove = "Oe 
L8S‘7c9 OOL OOL -- L88‘T9 600‘S 8L8‘9¢S 626ée = Ol Ke 
O7S‘OET €672 €62 -- L7Z‘OET GvO’8s ZS GCE 6°07 - O°6T 
99L‘ CZ 8CT'T 8zZT‘T -- B8E9‘E7 OVO’ ET 86S‘0TZ 6°8T - O°LT 
(o>) 
LN 
€89‘06Z2 S6E S6E -- 887 ‘062 Oke8T 8L0‘ZLZ 6°9T - O°ST 
v98‘7SE 99L 99L -- 860‘ 7ZSE 719/072 98P7‘TEE 6°7VT - O°ET 
V86‘OLE 660‘T LLS 776 G87‘ 69€ E7767 797‘ OVE 6°ZT - O°TT 
Gv‘ ere 0 0 0 GEv‘ Eve GSP‘Sz 086‘LTZ 6°OT - 0°6 
SOUSIMET 


----- - - = 87nd YOUI-fF/IT [DUOLZDULEZUT “4Zoaf pPavog pupsnoyy, - - - - - - - - 


: Spoompaey : Spoompzey : 2 SpOOMAjOS : oonads : outd : Soyout ! 
setoeds [Te eee i eal geaae! - uedsy | Reon ; F : : (seyouT) | 
eae : TEAL eee cLSUI@ I a: : Tea | f. Oa kUM. e: keSOTopUOd a: SSPTO ZzeVOUeTp 
: SGiOs Or MiG. at WH . SaGSOFOR Meh ORS: : pue AjunoD 


(°uod) L eTqer, 


81‘ 7007 ELE *e L98'Z 90S GLL‘000'Z vvr'sSs LES" St6s 4 TeIOL 


Tt9%e OvS OPS == TLO‘E -- TLO“€ +0°6Z 
66L‘P -- -- == 66L‘P -- 66L‘? 628C = OF 
8Z0‘TZ 8SZ 8SZ -- OLLA0¢ -- OLL‘0Z 6°92 - 0°SZ 
PEL‘ LE -- -- -- V6L‘LE Sv6'T 678‘SE 6°PS - O°EZ 
SEP‘ LL PSE VBE -- ZSOLL Tvl’? TI6‘ZL 6°22 - O°TZ 
VEL‘ POT G8E G8E -- 6SE ‘POT Z09'9 LTLLEGT 6°02 - O°6T 
ZLO0‘SHZ UL, TLV a T09‘vPT OT6’8 T69‘SET 6 Oil = 021 
ZGL‘ LEE LUZ LUC = GEG‘ LEE 0S9‘PT G88‘7ze 6,91 = O04GiE 
788‘SOP Led LO ao LVL‘SOP S68‘ST 758 ‘68€ 6570 = 0; en 
p08‘9¢P T86 GLY 90S €78‘S7P SLb‘9T BE ‘60P 6561 = OLE 
77‘ 6LZ 0 ) 0 V27‘6LZ 98L‘9T BER‘ 79Z 6°0OT - 0°6 
uo but uueg 


- - - - - - - = 87nd YOUL-F/[T TOUO1ZDUAeUL SZeef Pavog pupsnoyy - - - - --- - 


setoeds [Te ; SPpoomprzey Spoompzey uedsy spoom3jos : eonads : eutd (seyout) 
TeaOn : TeIOL : ZEUIAO : 3 TeIOL > O8QTUM 2 esOotepuog : sseTO ZojeweTp 
: > @)0-O0 M @ eV : SdOOMMLuaAOS : pue Ajuno) 


(*u0d) , eTqeL 


51 


897‘ ST9“S Tre ST 788‘9T 6SP7‘T L76‘96S'S 8S50‘6SZ 698‘LEE'S TeIOL 


a 


ZEO‘ST 969'P 969'7 -- 9€€‘OT -- 9€€‘OT +0°6Z 
LLO‘ET == == —= LVOTET TSP 979’ZT 6 8a = Oe 
96L‘LS T86‘T T86‘T -- S18‘SS v6z‘T T7s‘ bs 6°9% - 0°SZ 
€8p‘SOT v6L v6L aS 689‘ POT 6507'S O€7 ‘66 6° = O° EZ 
6TL‘ PTZ tee © bie t -- 800‘ETZ Z08 ‘ZT 902002 6°22 = 0°12 
T6z'9SP ZE6 ZE6 -- 6SE ‘SSP P6L‘8T G9S‘9EP 6°02 - O°6T 
006‘ 969 GO7‘Z SOz‘Zz == G69‘ 69 ZSP'92 €vz‘899 6°8L = O'LT 
798‘ TS6 T8L T8L =< €80‘TS6 97T' TP LS6‘606 6-94, = OUGt 
OA TSt 1 987‘T 98b‘T -- P8z‘OST‘T LE8‘SP Lby'vOT‘T 6°0T - O°ET 
COT 8Z1-T GGL‘E 967'Z 6S0‘T Gve‘PLI‘T 008‘€¢ SPS‘OCT‘T 6°2T - O°TT 
9ET‘ PLL ©) ©) 0) 9ET‘ PLL EVO'ES €61T’ Ted 6°OT - 0°6 


seTquNOD TTy 
------ - - 87nd YOUI-p/T ToDUCLZoOULaZUL Szeaf pabvog pupsnoyy - - - --- - - 


a ee eee ee (seyour) 
TeqOL ioe geen eaten UO, oe ia SUED OM SAU ets Seo Te bu eds: SSeTO TejeUeTP 
: SadOOMaGUWH ; SdOOMLaOS : pue Aquno9 


(*u0d) 2 eTqeL 


52 


"43 puesnoy; g*o ueYR sseq, 
‘QZ “pq puesnouy ¢s‘o ueuy sseq, 


"OTNA YOUT-p/T Teuotzeuzequr, 


Tv8‘9z -- 870"L 766‘ PET 188/89T 9189 = ppe‘T 6eT‘ TE 656'6€ setoeds Ttw 
ZLS _ LL v19 €97‘T SOS == pL 9L9 Ss7c't SpoompieH 
69792 = TL6‘9 BLE‘ PET 819‘ LOT TLe‘9 == 0L8‘T €9p'O€ DOL‘ 8E SPOOMAZOS 


sstTqunoos [Iw 


zZ0z‘S == 662 v6z'ES S6L'8S 6LP‘T = 66 Soe’et €88/eT setoeds [Iv 
est oad 6 ce? S6E cot = 6 cvc €Se SpoompizeH 
6970'S Re 062 T90‘ES oor‘ ss BEET -- 06 £90’2T OES‘ET Spoom3zos 
uoqbutuueg 
06€'ET == z00’Z L98‘6€ 6S7'SS €06‘Z -- 6£P 9€L'8 8L0'ZT setosds [Iv 
8TE aS 6S BLT SSS 90€ == os Pte 0L9 SPOOMpPAeH 
ZLO‘ET == €76‘T 689‘6E VOL‘ DS L6S‘Z == 68E t7v‘s8 80P‘TT SPOOMAzOS 
SOUSAMET 
67S‘T = PLT 9E7'Z 6ET'P O€S -- 8S Log S6l'T setoeds TIy 
Zz -- (3) L 6 T _ (¢) v S SPOOMPAeH 
Lzs‘T -- PLT 6cb'Z OfT’b 67S -- 8s £09 O6T'T SPOOM}AzFOS 
Zeaty [Ted 
9692 == 0S8‘€ ELT VE 61L‘ OP 688 -- PET‘T 6ST‘8 Z6T‘OT setoseds [Iw 
€ -- (2) Sst 88T LZ -- z 96 ScT SPOOMpP1AePH 
€69'Z == 0se‘€ 886‘EE TEs’OV z798 -- ZUL‘T £90'8 L90‘0T spoom3yos 
ze ysno 
pc0'P -= ECL 7272'S 696'6 SLO'T -- PO? Asso T19'Z setoeds T1W 
96 aS 6 TL 9TT 69 -- €T 0z ZOT SPOOMPAeH 
876'E -- DIL T1z’s €58'6 900‘T -- I6T eTe‘T 60S‘Z SPOOMAZOS 


epeow ‘butpzey ‘944ng 


---------- 1 29et panoqg pupsnoyy - - - ------- --------- - jaaf o1gnv punsnoyy - --------- 
azeatad > Azysnput : otTqnd : 4seit04 : sdnoib : azeatid : AaAsnput : oTTqQnd > 4sert0g sdnoib k 
zeui0 2 4ser04 : 23uI0 > TBUCTReEN +: ZeUMO TTIW : z9u10 : 4selr0j : zeu30 : TBUOTIEN : ZaUMO TTIW : Be) 


ZZ6L ‘dD ZOYDg YRZNOg Usazsam Sdnoub azaumo pun “spoompavy pun spoomfos 
‘Aqunoo fq pup] dequiz 1DLateuuoe uo dequi_mvs pun yoo4s Burmoab fo yzmoub zonuuv 2eN--"8 eTaeL 


55 


"33 "Pq puesnoyz s*Q ueYR SseT, 
*,33 puesnoyz g*o ueyy sseT, 


“OTN YOUT-p/T TeuoTIeureAUT, 


a ee ee 
899 SS 6SS STP ‘ST Sv9'9T SLE = PCL Té6p’e T6L‘E setoeds [tv 
Sz oo T =I 97% 8 oS T -- 6 SpoompireH 
£09 mS 8Ss 8Ip‘sST 619‘9T 89T —— eer Tép‘e z7BL‘€ Spoomzyos 


seTqUNOD TTIW 


ST = (¢) e819 86T'9 TI == T ZOP‘T pr‘ T setoeds TIv 


=r == ae == = a == cai -- -- SpoompieH 
ST == (¢) €8t‘9 86T‘9 TT == iL zOP‘T vIp'T Spoom3zyos 
uojbutuuedg 
Se a ee ee eS eee 
£90 2 6S ose‘? 7L8'V STTt == 91 796 €60‘T setoeds TIv 
So a == oS ao € aS T — i] SpoomMpreH 
£90 a 6S ose’y Z7L8'0 ert = ST 796 680‘T Spoomzyos 
sOUdsIMeT 
nnn. — s 
€S oS 9 Z9OT WAG cr = ie 6€ cs setoeds [Iv 
ae a == = eo aS ae -- -- SPOOMPAeH 
€S a 9 cot T22 ZT oe oe T 6E£ Zs SPpOOMAJOS 
aeaTeY TTed 
6é == 980 PST’ 699'P 6 == pot OS6 €90'T setoeds [Iv 
oe me = =O a aa a eee -- -- spoompiely 
62 a 98D ST‘? 699'DP 6 ay pot 0S6 €90‘T SPOOM4FOS 
Zeysnp 
80T = 8 69S S89 6¢ So a BET 69iE setoeds [Iv 
14 =o T ES 92 S == (2) == S SpoomMpizeH 
€8 == L 69S 6599 ve ame G 8eT pot SPOOMAFOS 
opeow ‘butpzey ‘e94nd 
See asia, 9001 DuDOG) PUDSNOY Ta = ie = = --------- - gaaf o1qno pupsnoyy - --------- 
= Sq enTIdae i mATTSNpUT ME OTTand) =. 2 = 4seiounn 1-5 sdioabyismp OAPATAC MES EARISNPUT) 59) OE TENG! -s)ucqSeo timc tinh) (SMO yen :eeenn ee mn gC 
zey420 B 4sort04 : 22430 2 TePUOCTIeEN +: ZeUMO TTY : zaui0 : 4sot0g 2z9uz0 : TRUOTIEN : ZeUMO TTV : ENTE) 


Z2Z6L ‘“v2OYDd YyAnog utozsem Sdnoub daumo pup Sspoompany puv spoomsos 
‘Agunoo fiq pun, dequiz 7DoueuuoD uo Aaequizmps puv yoo7s burmo0ub fo h3z127pzAOW JONUUy--*6 ETICL 


54 


Table 10.--Projected output of roundwood projects from timberlands by county, 
softwoods and hardwoods, and owner group; western South Dakota, 1977 


:All owner : National : Other) (9) Forest: Other 


County groups |: Forest : public : industry :. private 


-------- Thousand cubte feet -------- 


Butte, Harding, Meade 


Softwoods 1,076 672 i! -- 403 
Hardwoods Sam Sie: ie So te 
All species 1,076 672 1 -- 403 

Custer 
Softwoods 3,451 2,982 85 -- 384 
Hardwoods Sie = a = Es 
All species 3,451 2,982 85 -- 384 


Fall River 
Softwoods -- -- == ie ss 
Hardwoods -- -- es eu par 
All species -- -- = aes ae 


Lawrence 
Softwoods 10,329 7,085 81 oe 3,163 
Hardwoods aS me mS == -- 
All species 10,329 7,085 81 Sc 3,163 
Pennington 
Softwoods 4,800 3,922 49 -- 829 
Hardwoods -- -- -- -- -- 
All species 4,800 3,922 49 -- 829 


All counties 


Softwoods 19,656 14,661 216 oi 4,779 
Hardwoods a os S= == =e 
All species 19,656 14,661 216 =a 4,779 


2p) 


soetqunos TIw 
uojbutuued 
aousIMeT 

aeaATy ITPA 
ZeA4sNnD 


apeew ‘Hutpzey ‘eqqng 


setqunoo TI 
uo jbutuuedg 
QoUusIMeT 

aeaTy [Ted 
zaqysno 


epeew ‘Hbutpzey ‘eaqqng 


6Tb‘T O€0’T STL’9 == -- 809‘z soe ‘ez aS €60‘78 Pel‘ PIT €LT‘LIT 

6PE 857 T8z‘T == == ZvS St6‘'P eS LSv‘ Tz STZ ‘82 778‘ 87 

8PL 7S 76L‘E = a p6c'T STE‘PT => SS9'TP 9SP'09 9PL‘T9 

DC ZLT 8S6‘T [> == EGE €8S‘7Z =o OLP‘PT BEL‘6I VST‘ Oz 

BL 8S p8z =e a Sv SLY‘T == TIS‘? ste'9 TSsp'9 
------------- - - - = = = 87nd YOUL-p/T TOUOLZDUAaZUT ‘zeal Puvog pupsnoyy - - - - - -------------- 

Ov~ TO8 SEL'T A aS 6SS OOT‘? a S86‘7T 69€‘6T OTr’0z 

8S 002 6ZE ae = OTT 898 == poe‘e LOL‘? S96‘? 

L72T €cD 078 == == 8L7 81S‘z oS 8859 voz‘OT VSL‘OT 

(Ad GE €0S airs == 9ST SSD — 687‘Z €0p‘€ BLS‘E 

€T Sv €L —— = 6 6SZ mo DIL SSO‘T ELEAT 

--- ------------------- - 4aaf o1gnea pupsnoy, - - - - - ---- --- ----- --- 

: : szequtjZ wtezy : poom : : : 3 : : : 5 : 

sTeaousaz : senptset : snosueTTeostu : Terzqsnpur : srequty : setod eT rooonc nat SbOT isco cc sj9onpoad ; sTeaowuert : 

Zaui0 butbboy ouTW , Te TFOTEUNIOD ZVaua/\ TI TeOL 


‘poompteny 


4sqSOq: SNOSsULTTSOSTW: 


2261 “D20YDG YAZNOG UdezseMm fs_DAOWet AeYyZO PuD Ssanprsed bu1bb07 *sqonpoud poompunou 
‘Aqunoo Aq pup] 4equ2z4 1DLeceMUOD UO Aaqu1zmps pub yooZs burm0eab worf s_vaower peqoelodg--"TI eTaqeL 


Ajunoo 


56 


[ 


! 


; aK 


2 sayy pes 
4) . 


Green, Alan W. 
1978. Timber resources of western South Dakota. USDA For. 
Serv. Resour. Bull. INT-12, 56 p. Intermt. For. and Range 
Exp. Stn., Ogden, Utah 84401. 


Reports findings of the comprehensive survey of western South 
Dakota's 1.4 million acres of forests, which include 1.2 million acres 
of commercial forest land. Presents statistics on area, volume, 
growth, mortality, and timberuse. Also describes species, volumes 
per acre, stocking, site quality, ownership, trends in product har- 
vesting and other factors that bear on timber management. Oppor- 
tunities and problems related to future development are discussed. 


KEYWORDS: timber supplies, forest land, statistics. 


Green, Alan W. 
1978. Timber resources of western South Dakota. USDA For. 
Serv. Resour. Bull. INT-12, 56 p. Intermt. For. and Range 
Exp. Stn., Ogden, Utah 84401. 


Reports findings of the comprehensive survey of western South 
Dakota's 1.4 million acres of forests, which include 1.2 million acres 
of commercial forest land. Presents statistics on area, volume, 
growth, mortality, and timberuse. Also describes species, volumes 
per acre, stocking, site quality, ownership, trends in product har- 
vesting and other factors that bear on timber management. Oppor- 
tunities and problems related to future development are discussed. 


KEYWORDS: timber supplies, forest land, statistics. 


yy U.S. GOVERNMENT PRINTING OFFICE:1978—777-095 / 16 


Headquarters for the Intermountain Forest and 
Range Experiment Station are in Ogden, Utah. 
Field programs and research work units are 
maintained in: 


Billings, Montana 

Boise, Idaho 

Bozeman, Montana (in cooperation with 
Montana State University) 

Logan, Utah (in cooperation with Utah State 
University) 

Missoula, Montana (in cooperation with 
University of Montana) 

Moscow, Idaho (in cooperation with the 
University of Idaho) 

Provo, Utah (in cooperation with Brigham 
Young University) ; 

Reno, Nevada (in cooperation with the 
University of Nevada) 


‘ 


ay 


» 
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