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Department of 
Agriculture 


Forest 
Service 


North Central 
Research Station 


Resource Bulletin 
NC-202 


BIA Forest Lands of 
North and South 
Dakota, 1996 


David E. Haugen and Mark H. Hansen 


North Central Research Station 

Forest Service—U.S. Department of Agriculture 
1992 Folwell Avenue ; 
St. Paul, Minnesota 55108 

2002 


www.ncrs.{s.fed.us 


This report includes the most commonly used U.S. Department of Agriculture, Forest 
Service, Forest Inventory and Analysis (FIA) statistics. Additional forest resource data can 
be obtained through FIA staff, an FIA CD-ROM, or through a table generator on the North 
Central Research Station's Internet page. Persons requesting additional information that 
requires FIA staff time are expected to pay the retrieval costs. Requests for information 
may be directed to: 


Program Manager Bureau of Indian Affairs, USDI Billings Area Office 
Forest Inventory and Analysis 316 North 26th Street 

North Central Research Station Billings, MT 59101 

1992 Folwell Avenue Phone: (406) 247-7943 

St. Paul, MN 55108 FAX: (406) 247-7976 


Phone: (651) 649-5139 
FAX: (651) 649-5285 


ET SE AEE TG TEI SRY OY ED 
FOREWORD 


Forest Inventory and Analysis (FIA) is a continuing endeavor as mandated by the Renewable 
Resources Research Act of 1978. The objective of FIA is to periodically inventory the Nation's 
forest resources. Up-to-date resource information is essential to frame forest policies and 
programs. U.S. Department of Agriculture, Forest Service regional research stations are 
responsible for conducting these inventories and publishing summary reports for individual 
States. The North Central Research Station is responsible for inventory and analysis in Illinois, 
Indiana, lowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, South 
Dakota, and Wisconsin. 


Data used in this report were collected during the third North Dakota forest inventory, begun 
in September 1994 and completed in November 1994, and the fourth South Dakota forest 
inventory, begun in 1995 and completed in the spring of 1996. The reported statistics are 
estimates. Users of these data are cautioned to consult the table of sampling errors and the 
inventory methods section of the appendix. Fieldwork for these inventories was expedited 
through the cooperation and assistance of the Bureau of Indian Affairs, U.S. Department of 
the Interior. 


The North and South Dakota inventories were directed by Neal Kingsley (retired), FIA Program 
Manager, North Central Research Station, St. Paul, Minnesota. Robert Sienko, Bureau of 
Indian Affairs, Billings, Montana, Area Office, coordinated the BIA’s participation. 


St. Paul FIA office staff at the time were: Roger Audette, Gary Brand, Beth Collins, Barb 
Fuller, Dan Goodman, Dale Gormanson, Dan Groen, Ron Hackett, Mark Hansen, David 
Haugen, Doug Hecker, Jennifer lole, Barb Johnson, Mike Johnson, Neal Kingsley, Barb 
Knight, Leo Larkin, Earl Leatherberry, Joel Lemberg, Troy Lindgren, Doug Magee, Dennis 
May, Pat Miles, Jerry Ostrom, Ron Piva, Gerhard Raile, Mary Jo Resendez, Thomas Schmidt, 
Jay Solomakos, Dan Wendt, and Suzann Willhite. 


FIA field crew members were: John Benaszeski, Avery Beyer, Nathan Goodrich, Gary 
Inhelder, Lisa McDonald, Peter Koehler, Keith Magnusson, Mark Majewsky, Timothy Miller, 
Daniel Nelson, Wilfred Ortiz, Paul Perdew, Daniel Sherrill, Gary Stachowicz, Kristen Weber, 
and Chris Yonkers. 


CONTENTS 
Page 

FUTIAN GINGS ee eee tet tne Anu deceeanatidebas eanaciidegc seeneusecouacnecsonenens 1 
FOSS ANRSE| eat iad eal aly lara ae i to lees a EEL PO ae a Z 
ORES HAVO SL EOMMOOSIUOM eterna arte abccws nee Ne UM cnin decal catia veces urvesntaies dasa 2 
(CHAU elie ICA OV AY, en Gai eli ea! acta ae Med NENESMLate eeer 3 
ENGIN RO CUS Et Meee Nm emit Gut an annen Caead anciia) emnenat setae taldte ance nnclinee a 3 
NS WE Teta Cyr arn eet em En MA Hn RIAT ILS Lig PI UMCAILANSUT SRY MUN COLE ccc Aiea tenis Steele carted 3 
EI AS N= COMOMVWVOOGh i aceite munntalay wets c tallies oth tea decma ti cde le S 
WIAWIES BES IaDING ments rctean cree nucie dere Mure e: MURR AN AE Pees anita 4 
BO MCCTOSAE ICR ena eaat nuns wiatee Anes io MO Ca Neue Late asa caeld ued dee deinee Se ectusccmeent nee 4 
Same Size Classe cum mmm sawn tent ceutetectensat sl vanied ae onemehnnen nebencere ec rnisrganat 4 
PHOCUEH VIE ZOnMIIMMOS IAM ES. c5 vaathtvansuvacccasc sadiauncsiemeannctuatesaceetecamstmacealck sas 5 

Stocking May Hold the Key to Improved Productivity on BIA 
AMfiteral Glen e Shere sere eee eae eT UCC AE UCU cuca uleclnaity eae eeaelu 5 
Numberottrees==NogthiDakota BlA eee DE eae aceeslassnnemace 6 
Neimberonirecs——South Dakota tee ee oc dheniecuepcenoeaelelevoncnne 6 
AITICiA OE AIT AN AOS RUT aXe set aes trays use te mr eo ee 7 
GRONVAMGROLOCKE VO IIE corer neni ae nate dir eee eee ee ait eas 7 
WHO) ICI ANS PIES pu esas sla eter aah ep eee eine tae Regie eu ey eam 8 
SENATE OSs saseisprtegtece cre eee Ma a iat na Hs es ep ee 8 
STi tpl Ouellet ese ere ok UO ANAM nts CAI Se Aas NUE ey Rk teea canes g 
(GUTON UA ag ee nS REA ae eae ne ee aa NPR Na ER LEEK a A 10 
STOATING ES CTCL GH ONIN a Malate eR a Oa nn EL 10 
SHE NINA aU OX gd! Gil Oh Avie (ase et eae at as rg a 10 
NAICS LW) Aes athe Glee abba Ni ee te GR ST De a RR LO 11 
Woratallity AIM GiOVVIMNGL STOCK. area ater ate an eur nMeauMinne, Soe cueM one bie aul 11 
WO RtaliCV AMES ANVitINIMIOS HieaNieie ty, acco MA Ne, MeMPaiRliy eee Sa ea cal een al 


FCI ARONV EIS WR Eta OE a ea RA RUA MEE UO Oeste A vO a 


ADPOMGixeee 22. Sidsccdccedanedescescocescsans ccaeeceueceaceeenstes Cheese ane eee 12 
Reliabilityiof the: SUBVEY i joe ca)ceaccarc accor tose ere eetae beret eee eee Cece eee eeeeaee 12 
Comparing the 1994 North Dakota and 1996 South Dakota 


Inventories with the 1980 Inventories in These Two States. .................. is 
Survey Procedures). ssiissscaacvag ene cie ok enoeee tes acs Bataan cre ae ee eee 133 
Statistical: DESIQI iescdisec-daamtteansehaeccemock cee eteeen ah. cae Oo See aE 14 
Sample Based on the Remeasurement of the 1980 NCFIA Inventory ...... 14 
1980 NCFIA Inventory Aerial Photo Plots (Phase 1) ...............cccceeeeeeeeeeeeeees 14 
1980) NCEIA Inventony Ground Plots) (Phase)2) esi.) bees eee ee 14 
Remeasurement of the 1980 NCFIA Inventory ................ccceceeeeeeeeeeeeeeees V5) 
Sample: Basedionmptine NRG SNR pane ae rcescnen seamen ce erence ates ane ee ee 16 
Combined Estimate Based on the Two Independent Inventories.............. 17 
Field Measurements: 1980 Inventory Plot DeSIQN .................cceeeeeeeeeeeeeeees 17 
Field Measurements: 1994-1996 Inventory Plot Design ..................ccecceeee 18 
New: linventony Plots: 6. venaiec nec coc: soon ines: unten umetee serch e sas Quant ee eee 18 
Old inventory sPlotse wiivesn ees lace are era ete ease cee oe cece eRe a 18 
Compuitationion Estinmatesy:s.1aecwevaccseoeteee ca tans ae teee eee nee tae eke eee 20 

PSO variate testis dlenageaanu ah eauseedno an! Ure. edaceten tatty dat exer Meee aren ue eee eee Cee eee 20 
AY{0) (Ua a) Panui erate ire rianrs er tides PUMA Ren ind cM ne Minami hager sae seonaet J sucdo 82) 20 
Growithiama: MO ality eesestacsccwass son cuseos cette see eoseeea meee enon oe Eero neces aeneae 20 
Average AnnualiRennowvals inc. )iecs. ce ssesesenensstdesceeeaacee teas acne sieeeenee moe 20 
Tree. an diliogr Grades she eid arcaeee coe MU rateeuaes cael Ce eenete neat ae eens eee 21 
Metiie EG UIVELE RES ice ianaai tee ei te Sarin Me cbeaiccs eteictie csi iuatauleee Abies seamee aCe eran an 24 
Tree Species Groups in North and South Dakota .............ccccceceeeeceeeee ee eeeeees 25 
Definition Of: Te rims icc. of cutabyetee ence mectesena cuckoo teeth est etae ene eee ate ae 26 
Literature: Cited: casita casudlsoh aterm erdeemeatnee reeestoeee tase a eek Sect eee eee 33 
Table Tiles... :.scssvusuebiaetaskidcaseceeeeudesemea (eete cele in sae iaeesee tte att Rete ee eee Cane eee 34 


TAD OS eo ee SRS ace PR a ERT re re re Se 36 


BIA Forest Lands of North and 
South Dakota, 1996 


David E. Haugen and Mark H. Hansen 


HIGHLIGHTS 


BIA forest lands in North Dakota and South 
Dakota amounted to 146.1 thousand acres 
of forest land, and 131.3 thousand acres of 


this land were classified as timberland. 


In addition to the forest land area, BIA 
lands have 56.9 thousand acres of 
nonforest land with trees. Nonforest land 
with trees includes wooded strips, farm 
and field windbreaks, wooded pastures, 


and abandoned cropland. 


Aspen-birch is the most extensive forest 
type found on North Dakota BIA timber- 
lands, accounting for more than 57 
percent, or 22.4 thousand acres of timber- 
land. Ponderosa pine is the most extensive 
forest type found on South Dakota BIA 
timberlands, accounting for more than 44 
percent, or 41.3 thousand acres of timber- 
land. 


Even with the prevalence of adverse 
growing conditions in North and South 
Dakota, over a fifth of BIA timberlands are 
capable of growing more than 50 cubic feet 


of wood per acre per year. 


Growing-stock volume on North Dakota 
BIA timberlands was 21 million cubic feet 
in 1994 and represented 6 percent of the 
States total volume. Growing-stock volume 
on South Dakota BIA timberlands was 62.6 
million cubic feet in 1996 and represented 
14 percent of the State’s total volume 


outside of the Black Hills National Forest. 


Sawtimber volume in 1994 stood at 30.1 
million board feet on North Dakota BIA 
timberlands and at 264.5 million board feet 
on South Dakota BIA timberlands in 1996. 


Eighty-six percent of the total sawtimber 
volume found on North Dakota BIA 
timberlands came from aspen, bur oak, and 
balsam poplar species groups. On South 
Dakota timberlands, 88 percent of the total 
sawtimber volume came from ponderosa 


pine and cottonwood species groups. 


An average of 1.7 million cubic feet of net 
growth of growing stock was added to BIA 
timberlands per year between 1980 and 
1995. In North Dakota, this translates to an 
estimated 17.6 cubic feet per acre of 
average annual net growth on BIA timber- 
lands. On South Dakota BIA timberlands, 
annual net growth averaged 16.5 cubic feet 


per acre per year. 


Note.—The forest land area in this report represents areas identified by the Bureau of 
Indian Affairs (BIA) as “Tribal Trust Land” within the boundaries of reservations in the 
States of North and South Dakota. Tribal Trust Lands outside of reservation boundaries, 


individually owned trust lands, and government-owned lands were not included in this 


report. This report contains information useful for identifying forestry related trends on trust 
lands. Professionals with the Branch of Forest Resource Planning (BOFRP) within the 


Forestry Division of the BIA can use this information in natural resource planning. 


About the Authors: 


David E. Haugen isa 
Forester and Mark H. 
Hansen is a Research 
Forester in the Forest 
Inventory and Analysis 


Program at the North 


Central Research Station, 
St. Paul, Minnesota. 


¢ Ona per acre basis, growing-stock 
mortality averaged 8.8 cubic feet per acre 
per year from 1980 to 1995 on BIA 
timberlands. Thus, nearly 41 percent of the 
annual gross growth of growing stock was 


lost to mortality. 


e Average annual removals of growing stock 
between 1980 and 1995 was 1.1 cubic feet 


per acre per year. 


* BIA forests provide food, cover, and 
protection for a vast array of wildlife 
species from elk to turkey. In addition, they 
improve water quality and control 


streambank erosion and sedimentation. 


FOREST AREA 


In 1994, BIA lands in North Dakota were 
estimated at 246 thousand acres, and 48 
thousand acres or 20 percent were forested. In 
1996, South Dakota BIA lands were estimated 
at 2.6 million acres of which 99 thousand 
acres or 4 percent were forested. Total area of 
timberland on BIA land was estimated at 39 
thousand acres in North Dakota and 93 
thousand acres in South Dakota. Woodland 
area on BIA lands was estimated at 9 thousand 
acres for North Dakota and 6 thousand acres 
for South Dakota. 


Land classified as nonforest with trees was 
estimated at 5 thousand acres on BIA lands in 
North Dakota in 1994 and at 52 thousand 
acres on BIA lands in South Dakota in 1996. 
Examples of nonforest land with trees would 
include windbreaks, wooded strips, improved 
pastures with trees, and wood pastures. 
Typically, nonforest land with trees offers few 
possibilities for commercial use. However, 
such land does offer many benefits including 
soil erosion control (improved water quality), 
rural buildings and land protection (improved 
quality of life), shade for livestock, and shelter 
and food for wildlife. 


FOREST TYPE COMPOSITION 


Hardwood forest types dominate the forest 
landscape on North Dakota BIA timberlands. 
In fact, only three forest types were recorded 
during the inventory on BIA timberlands in 
North Dakota: aspen-birch, oak-hickory, and 
elm-ash-locust (fig. 1). South Dakota BIA 
timberlands have a mix of softwood and 
hardwood forest types (fig. 2). Softwood forest 
types found during the 1996 inventory were 
ponderosa pine and Rocky Mountain juniper. 
Hardwood forest types included oak-hickory, 
elm-ash-locust, elm-ash-cottonwood, and 


maple-beech-birch. 


Elm-ash 
9% 


Figure 1.—Percent of area by 
forest type, North Dakota 


Aspen-birch 
BIA, 1994. 


58% 


Rocky Mountain 
juniper | 
2% 


Oak-Hickory 


The oak-hickory forest type occupied 12.8 
thousand acres or 33 percent of the total BIA 
timberlands in North Dakota and 21.2 
thousand acres or 23 percent of the total BIA 
timberlands in South Dakota. Because bur oak 
is the only native oak species found in North 
and South Dakota, the local type is called bur 
oak. Species commonly associated with the 
bur oak forest type in North and South 
Dakota are basswood and green ash. 


Elm-Ash-Locust 


In the most recent inventory, the elm-ash- 
locust forest type occupied 3.6 thousand acres 
or 9 percent of the total BIA timberlands in 
North Dakota and 12.8 thousand acres or 14 
percent of total BIA timberlands in South 
Dakota. The local forest type is called elm-ash, 
an upland forest type dominated by American 


elm and green ash. 
Aspen-Birch 
The aspen-birch forest type occupied 22.4 


thousand acres or 58 percent of the total BIA 
timberlands in North Dakota. The entire State 


Figure 2.—Percent of area by 
forest type, South Dakota 

Ponderosa BIA, 1996. 
pine 
45% 


of North Dakota has 117.8 thousand acres of 
aspen-birch forest type, which means that 19 
percent of all aspen-birch forest land in the 
entire State is found on North Dakota BIA 


timberlands. 
Elm-Ash-Cottonwood 


The elm-ash-cottonwood forest type, a lowland 
forest type, occupied 11.2 thousand acres or 
12 percent of the total BIA timberlands in 
South Dakota. The elm-ash-cottonwood forest 
type can be broken down into three local forest 
type groups, which are cottonwood (6.7 
thousand acres), elm-ash-cottonwood (2.4 
thousand acres), and willow (2.1 thousand 
acres). A major forestry concern in the Plains 
States is the lack of cottonwood regeneration. 
Two major factors contributing to this problem 
are the construction of flood control dams on 
major rivers and streams and the grazing of 
livestock in riparian areas. Cottonwood seeds 
require a nearly bare mineral soil seedbed to 
germinate. Frequent flooding along the 
streambanks helps prepare a suitable seedbed 
for germination. Reduced periodic flooding 
has decreased the availability of bare mineral 
soils for cottonwood seeds to germinate 
(Haugen et al. 1999). 


Maple-Beech-Birch 


In 1996, the maple-basswood forest type (local 
forest type) occupied 3.9 thousand acres or 4 
percent of BIA timberland in South Dakota. 
The entire State of South Dakota has only 5 
thousand acres of this type, which means that 
78 percent of this particular forest type is 
found on BIA timberlands. 


Ponderosa Pine 


In 1996, the ponderosa pine forest type 


occupied 41.3 thousand acres or 45 percent of 


Forest type 


Elm-ash 


Aspen-birch 


Bur oak 


0) 5 10 15 20 25 
Thousand acres 


Sapling-Seedling GPoletimber M Sawtimber 


Figure 3.—Area of timberland by forest type group/local type and 
stand-size class, North Dakota BIA, 1994. 


Forest type 
Elm-ash 


Basswood 


Rocky Mountain juniper 


Ponderosa pine 


BIA timberland in South Dakota. Much of this 
forest type was found on the Pine Ridge 
Reservation. 


STAND-SIZE CLASSES 


Stand-size class is a classification of stocked 
forest land based on the size class of live trees 
on the area: sawtimber, poletimber, and 


sapling and seedlings (figs. 3 and 4). 


20 30 40 50 


Thousand acres 


BSapling-Seedling @ Poletimber M Sawtimber 


Figure 4.—Area of timberland by forest type group/local type and stana-size Class, 
South Dakota BIA, 1996. 


PRODUCTIVITY OF 
TIMBERLAND 


BIA forest lands are productive: 80 percent of 
all BIA forest lands in North Dakota and 94 
percent of all BIA forest lands in South Dakota 
have the potential to annually produce 20 or 
more cubic feet of wood per acre per year. The 
forest land area can be divided into two major 
land-use classes: timberland and woodland. 
North Dakota BIA forest land consists of 38.8 
thousand acres of timberland and 8.8 
thousand acres of woodland. South Dakota 
BIA forest land consists of 92.5 thousand acres 
of timberland and 6 thousand acres of 


woodland. 


On BIA timberlands, potential productivity 
class is used to evaluate timberland site 
quality as related to potential timber produc- 
tion. Potential productivity is expressed in 
cubic feet of net growth per acre per year on a 
given site. Productivity on BIA timberlands in 
North and South Dakota is lower than in 
other regions due in part to extreme weather 
conditions, including drought, strong winds, 
and widely varying seasonal temperatures. 
Only 4 percent of BIA timberland in North 
Dakota has the potential to produce more 
than 85 cubic feet per acre per year of growth 
and less than | percent of BIA timberland in 
South Dakota can produce this much. Another 
37 percent of the BIA timberland in North 
Dakota has the potential to produce between 
50 and 84 cubic feet per acre per year of 
growth, compared to an average of 22 percent 
for the entire State. Only 14 percent of South 
Dakota BIA timberland has the potential to 
produce between 50 and 84 cubic feet per 
acre per year. Most timberland, 86 percent on 
South Dakota BIA land and 59 percent on 
North Dakota BIA land, has the potential to 
produce less than 50 cubic feet of growth per 


acre per year. 


STOCKING MAY HOLD THE 
KEY TO IMPROVED 
PRODUCTIVITY ON BIA 
TIMBERLANDS 


Stocking is an estimate of occupancy of a given 
site, usually measured by basal area or number 
of live trees required to fully utilize the growth 
potential of the land. In North Dakota, 40 
percent of BIA timberland area is either 
nonstocked or poorly stocked (fig. 5), while in 
South Dakota, 75 percent of BIA timberland 
area is either nonstocked or poorly stocked 
(fig. 6). In comparison, 53 percent of total 
timberland area in North Dakota and 58 
percent in South Dakota is poorly stocked or 
nonstocked. Another 30 percent of the BIA 
timberland area in North Dakota and 20 
percent of BIA timberland area in South 
Dakota is moderately stocked. If stocking is 
increased even to moderate stocking levels on 
poor sites, growth will increase and the 


potential of timberland to grow and hold more 


wood fiber should be realized. 


Non-stocked 
6% 


Figure 5.—Percent of 
Fully stocked 
30% 


timberland by stocking class 
30% 


of growing-stock trees, 
North Dakota BIA, 1994. 


Non-stocked 
10% 
Fully stocked 
5% 


Figure 6.—Percent of 
timberland by stocking class 
of growing-stock trees, 
South Dakota BIA, 1996. 


Poorly Stocked si 
65% Bhai ab Sos 


Species group 
Elm 
Balsam poplar 

Other hardwoods 
Noncommercial species — 
Bur oak 
Green ash 


Quaking aspen 


NUMBER OF TREES—NORTH 
DAKOTA BIA 


In 1994, an estimated 22 million live trees 1 
inch or greater d.b.h. were growing on 38.8 
thousand acres of North Dakota BIA timber- 


lands, an average of 568 trees per acre. Aspen, 


. green ash, and bur oak were the dominant 


species with 39, 19, and 16 percent of the 


5,000 6,000 7,000 


3,000 4,000 


8,000 9,000 


total number of live trees, respectively (fig. 7). 
Of the total number of live trees, growing- 
stock trees (a live tree of commercial species 
that meets specified standards of size, quality, 
and merchantability) accounted for an 
estimated 17 million trees, or 77 percent of all 
live trees. Noncommercial tree species, which 
include eastern hophornbeam (ironwood), 
wild plum, and peachleaf willow, accounted 


for 3 million or 14 percent of all live trees. 


Figure 7.—Number of all 
live trees on timberland by 
species group, North 
Dakota BIA, 1994. 


0 1,000 2,000 10,000 
Thousands of trees 
NUMBER OF TREES—SOUTH the dominant species with 43, 12, and 11 
percent of the total number of live trees, 
DAKOTA BIA 


Figure 8.—Number of all 
live trees on timberland by 
species group, South 
Dakota BIA, 1996. 


In 1996, an estimated 28 million live trees 1 
inch or greater d.b.h. were growing on 92.5 
thousand acres of South Dakota BIA timber- 
lands, an average of 298 trees per acre. 


Ponderosa pine, green ash, and bur oak were 


Species group 
Cottonwood fj 


Basswood oo 


Other hardwoods oe 


; 


Other softwoods a =e 
sats aged 


Bur oak 

Green ash 
Noncommercial species 
Ponderosa pine 


0 2,000 


4,000 


6,000 


respectively (fig. 8). Of the total number of live 
trees, growing-stock trees accounted for an 
estimated 20 million trees, or 72 percent of all 
live trees. Noncommercial tree species, which 
include apple, wild plum, and peachleaf willow, 


accounted for 4 million, or 14 percent of all 


live trees. 


8,000 10,000 12,000 14,000 


Thousands of trees 


TIMBERLAND VOLUME 


Growing-Stock Volume 


Growing-stock volume was estimated at 21 
million cubic feet on North Dakota BIA 
timberland and at 63 million cubic feet on 
South Dakota BIA timberland. On North 
Dakota BIA timberland, 90 percent of all 
growing-stock volume was contained in three 
species: quaking aspen, bur oak, and balsam 
poplar (fig. 9). On South Dakota BIA timber- 
land, more than 79 percent of all growing- 
stock volume was contained in two species: 


ponderosa pine and cottonwood (fig. 10). 


Species group 
Boxelder fi 
Quaking aspen fim — 


Figure 9.—Net volume of Balsam poplar EGG 


growing stock on timberland Green ash F 
by species group, North Elm 


Dakota BIA, 1994. es 
Basswood 


Bur oak F 


0 2,000 4,000 6,000 8,000 10,000 
Thousand cubic feet 


12,000 14,000 


Species group 


Other hardwoods 
Cottonwood 
Green ash Figure 10.—Net volume of 
el growing stock on 
Basswood F timberland by species 
Bur oak group, South Dakota BIA, 
1996. 


Ponderosa pine z 
0 5,000 10,000 15,000 20,000 25,000 30,000 35,000 40,000 
Thousand cubic feet 


Species 


group 


Boxelder 


Quaking aspen 


Balsam poplar 


Volume Per Acre 


Growing-stock volume per acre averaged 542 
cubic feet on North Dakota BIA timberland, 
and 678 cubic feet on South Dakota BIA 
timberland. The aspen-birch forest type had 
the highest average for growing-stock volume 
per acre in North Dakota BIA in 1994 with 
678 cubic feet per acre. On South Dakota BIA 
timberland, the cottonwood forest type had 
the highest average for growing-stock volume 
per acre with 1,140 cubic feet per acre. Other 
forest types with above average volume per 
acre on South Dakota BIA timberland were 
basswood (925 cubic feet per acre), elm-ash 
(914 cubic feet per acre), and elm-ash- 
cottonwood (707 cubic feet per acre). The 


Green ash pay 


Elm 


Basswood 


Figure 12.—Net volume of 
sawtimber on timberland by 
species group, South 
Dakota BIA, 1996. 


Bur oak 


i ait teeTE ft 
Pre eee Passe Pew : 


willow forest type had the lowest per acre 
volume with 158 cubic feet per acre. 


Sawtimber 


Sawtimber volume was estimated at 30 million 
board feet on North Dakota BIA timberlands 
and at 234 million board feet on South Dakota 
BIA timberlands. Quaking aspen, bur oak, and 
balsam poplar represented 86 percent of the 
total sawtimber volume on North Dakota BIA 
timberlands (fig. 11). On South Dakota BIA 
timberlands, 88 percent of the total sawtimber 
volume came from two species: ponderosa 


pine and cottonwood (fig. 12). 


Figure 11.—Net volume of 
sawtimber on timberland by 
species group, North Dakota 
BIA, 1994. 


0 2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000 


Thousand board feet 


Species group 
Other hardwoods 
Cottonwood 
Green ash j 

Eim 

Basswood — 

Bur oak 


Ponderosa pine 


0 20,000 


40,000 


60,000 80,000 


100,000 120,000 140,000 160,000 


Thousand board feet 


Figure 14.—Quality of 
sawtimber by tree grade, 
South Dakota BIA, 1996. 


TIMBER QUALITY 


As a measure of timber quality, field crews 
assigned log grades to softwood sawtimber 
trees and they assigned tree grades to hard- 
wood sawtimber trees. In the Dakotas, the 
most critical factor in determining grade is the 
d.b.h. of the tree. On North Dakota BIA 
timberlands, 84 percent of the hardwood 
sawtimber was given a tree grade of 3 or 
poorer (fig. 13). The bur oak species had more 
than 81 percent of its volume in sawtimber 
less than 15 inches d.b.h. and 92 percent of 


its volume in grades 3 or poorer. On South 


Figure 13.—Quality of 
sawtimber by tree grade, 
North Dakota BIA, 1994. 


Dakota BIA timberlands, ponderosa pine 
(softwood species) had 96 percent of its 
sawtimber volume in log grade 3; hardwood 
species had 39 percent of their sawtimber 
volume in tree grades 3 or poorer. Combined, 
all softwood and hardwood tree species in 
South Dakota BIA had 72 percent of their 
sawtimber volume in grades 3 or poorer (fig. 
14). Three species—cottonwood, bur oak, and 
basswood—accounted for 61 percent of the 
sawtimber volume in tree grades | and 2; 
cottonwood accounted for 86 percent of the 


total volume in tree grades 1 and 2. 


GROWTH 


Growing-Stock Growth 


An average of 1.7 million cubic feet of net 
growth of growing stock was added to BIA 
timberlands per year between 1980 and 1995 
(fig. 15). In North Dakota, this translates into 
an estimated 17.6 cubic feet per acre of 
average annual net growth on BIA timber- 
lands. The average annual growth rate on 
North Dakota BIA timberland is about 3 
percent of the total growing-stock inventory. 
The aspen-birch forest type on North Dakota 
BIA timberlands accounted for 87 percent of 
the average net growth between 1980 and 
1993. On South Dakota BIA timberlands, 
average annual net growth per acre is esti- 
mated at 10.5 cubic feet per year. The average 
annual growth rate on these lands is about 2 
percent of the total growing-stock inventory. 
The ponderosa pine forest type accounted for 
46 percent of the average annual net growth 
between 1980 and 1995. 


Sawtimber Growth 


The average annual net growth of sawtimber 
between 1980 and 1995 was estimated at 850 
thousand board feet for BIA timberlands in 
North Dakota and 3.0 million board feet on 
BIA timberlands in South Dakota per year (fig. 
16). This averages out to be 22 board feet per 
acre per year of growth on North Dakota BIA 
timberland and 33 board feet per acre per year 
of growth on South Dakota BIA timberland. An 
estimated 98 percent of the average annual net 
growth of sawtimber came from the aspen- 
birch forest type on BIA timberlands in North 
Dakota. A little over 60 percent of the average 
annual net growth of sawtimber came from the 
ponderosa pine forest type on South Dakota 
BIA timberlands. The other major forest types 
contributing to average annual net growth of 
sawtimber on South Dakota BIA timberlands 
were elm-ash-cottonwood with 21 percent and 


oak-hickory with 16 percent. 


Thousand cubic feet 


North Dakota 


South Dakota Total 
BIA Suvey Units 


BGrowth mMortality mRemovals _ 


Figure 15.—Average annual net growth, mortality, removals of growing stock 
on timberlands, North Dakota BIA, 1980-1993, and South Dakota BIA, 1980- 
1995. 


Thousand board feet 


South Dakota Total 


North Dakota 
Forest Survey Units 


HGrowth MMortality BRemovals 


Figure 16.—Average annual net growth, mortality, and removals of sawtimber 
on timberland, North Dakota BIA, 1980-1993, and South Dakota BIA, 1980- 
1995. 


MORTALITY 


Mortality in Growing Stock 


Average annual mortality for growing stock on 
BIA timberlands in North and South Dakota 
was estimated at 1.2 million cubic feet between 
1980 and 1995. Average annual mortality as a 
percentage of total volume was 2 percent of the 
total growing-stock volume on North Dakota 
BIA timberlands and 1 percent of the total 
growing-stock volume on South Dakota BIA 
timberlands. On North Dakota BIA timber- 
lands, average annual mortality equaled 11 
cubic feet per acre per year between 1980 and 
1993. On South Dakota BIA timberlands, 
average annual mortality equaled 8 cubic feet 
per acre per year between 1980 and 1995. 
Quaking aspen made up 67 percent of the 
growing-stock average annual mortality on 
North Dakota BIA timberlands, followed by 
balsam poplar with 19 percent of the mortality 
and elm with 12 percent. On South Dakota BIA 
timberlands, cottonwood made up 40 percent 
of the growing-stock average annual mortality, 
followed by ponderosa pine with 27 percent of 
the mortality and elm with 13 percent. 


Mortality in Sawtimber 


Average annual sawtimber mortality was 721 
thousand board feet on North Dakota BIA 


timberlands and 2.7 million board feet on South 
Dakota BIA timberlands. Aspen accounted for 
more than half (383 thousand board feet) of all 
sawtimber mortality on North Dakota BIA 
timberlands. Cottonwood accounted for 46 
percent or 1.2 million board feet of all sawtim- 


ber mortality on South Dakota BIA timberlands. 


REMOVALS 


Average annual growing-stock removals for 
North and South Dakota BIA timberlands 
between 1980 and 1995 was 54 and 89 
thousand cubic feet, respectively. This averages 
out to be 0.3 percent of the growing-stock 
volume for North Dakota BIA and 0.1 percent of 
the growing-stock volume for South Dakota BIA 
timberlands. Quaking aspen accounted for 69 
percent of growing-stock removals on North 
Dakota BIA timberlands, and green ash and elm 
accounted for 75 percent of growing-stock 


removals on South Dakota BIA timberlands. 


In 1994, the aspen-birch forest type accounted 
for 58 percent of North Dakota BIA timberland 
area and all of the average annual growing-stock 
removals. The elm-ash-cottonwood forest type, 
which accounted for 12 percent of South Dakota 
BIA timberland area, had the highest amount of 
average annual growing-stock removals with 74 


percent of the total. 


ll 


CE EE FT a a a 
APPENDIX 


RELIABILITY OF THE SURVEY 


Forest Inventory and Analysis information is based on a sampling procedure designed to provide 
reliable statistics at the State level. Consequently, the reported figures are estimates only. A measure 
of reliability of these figures is given by sampling errors (table A). These sampling errors mean that 
the chances are two out of three that if a 100-percent inventory had been made, using the same 


methods, the results would have been within the limits indicated. 


For example, the estimated growing-stock volume in BIA timberlands was 83.7 million cubic feet, 
with a sampling error of + 8.5 percent (+ 7.1 million cubic feet). The growing-stock volume from a 
100-percent inventory would be expected to fall between 90.8 million cubic feet and 76.6 million 


cubic feet (83.7 + 7.1), there being a one in three chance that this is not the case. 


Table A.—Sampling errors for the 1994 and 1996 inventories of North and South 
Dakota's BIA timberlands 


Item BIA totals Sampling error 
Growing stock Million cubic feet Percent 
Volume (1994/1996) 83.7 8.5 

Average annual growth 

(1980-1993/1 980-1995) thal 15.0 
Average annual removals 

(1980-1993/1 980-1995) 0.1 67.8 

Sawtimber Million board feet 

Volume (1994/1996) 264.6 11.9 
Average annual growth 

(1980-1993/1980-1995) 3} 18) 21.9 
Average annual removals 

(1980-1994/1980-1996) 0.3 69.0 


Thousand acres 
Timberland area (1994) likes 6.4 


As survey data are broken down into sections 
smaller than BIA totals, the sampling error 
increases. For example, the sampling error for 
volume for a species group is higher than that 
for total volume on BIA timberland. To estimate 
sampling error for data smaller than BIA totals, 


use the following formula: 


(SE) [(BIA total volume or area) 


i (Volume or area smaller than BIA total) 
Where : 
E = Sampling error in percent. 


SE = BIA total error for volume or area. 


For example, to compute the error on the 

growing-stock volume in the bur oak species 

group for North Dakota BIA timberlands, 

proceed as follows: 

1) Total bur oak GS Volume (North Dakota 
BIA) = 3,792 thousand cubic feet. 

2) Total BIA GS Volume = 83,705 thousand 
cubic feet. 

3) The BIA total error for GS Volume = 8.5 
percent. 


4) Using the above formula: 


0.085 / 83,705 
N 3,792 


E = 39.9 percent sampling error for the bur oak 
species group in North Dakota BIA timberland. 
Sampling errors for area, volume, growth, and 
removals, for both growing stock and sawtim- 
ber, by BIA sampling units are shown in table 
Ke 


COMPARING THE 1994 
NORTH DAKOTA AND 
1996 SOUTH DAKOTA 
INVENTORIES WITH THE 
1980 INVENTORIES IN 
THESE TWO STATES 


All volumes and biomass estimates presented 
in this report are based on methods presented 
in Hahn and Hansen (1984). A different 
volume estimation procedure developed for 
Minnesota's prairie region was used to compute 
the volumes published in the 1980 inventory 
reports. The newer methods were used to 
recompute the 1980 inventories where 
comparisons are presented in this report. 
Although the adjustment will differ by species, 
the recomputed 1980 growing-stock and 
sawtimber volumes will generally be greater 


than those shown in the 1980 report. 


Past surveys used only growing-stock trees to 
determine stand-size class. Current survey 
procedures require that stand-size class be 
determined on the basis of all live trees. 
Therefore, direct comparisons of current 
inventory data to old inventory data by stand- 


size class may be misleading. 


SURVEY PROCEDURES 


The inventory of BIA lands in North and South 
Dakota was part of the statewide inventories of 
the two States, which sampled all forest lands 
across both States, without regard to owner- 
ship. The North Dakota inventory covered all 
lands in the State and the South Dakota 
inventory covered all lands in the State outside 
the Black Hills National Forest. The Black Hills 
National Forest was inventoried at a different 
time. The BIA provided additional funding to 
the Forest Service to measure more plots 
within all reservations in these two States. The 
inventory was designed to provide statewide 


information, but the intensified sampling 


13 


allows a breakdown of this information for BIA 
lands. A summary of the procedures used in 
these two statewide inventories is presented 
here with references to the intensification on 
BIA lands. This summary consists of three 


parts: 


1) A description of the statistical design used 
in the inventory, which deals with the 


methods used for stratification, aerial photo, 


and ground plot selection and estimation. 


2) A description of the ground plot measure- 
ments which focuses on the plot design and 
changes in the design between the 1980 
and the 1994-1996 inventories. 


3) A description of the methods used to 
compute items presented in this report 
(area, number of trees, volume, growth, 
mortality, removals, and biomass) from field 


plot measurements. 


STATISTICAL DESIGN 


The basic design for this inventory consists of 
two independent samples that were combined 
to provide an overall estimate of the forest 
resources of the Dakotas. The first sample is 
based on the remeasurement of the 1980 
NCFIA inventory, and the second sample is 
based on the Natural Resource Conservation 
Services Natural Resources Inventory (NRCS- 
NRI). These samples produced two indepen- 
dent estimates of the total forest resource in the 
two States and were combined, using statisti- 
cally appropriate methods, to provide the best 


overall estimates possible. 


SAMPLE BASED ON THE 
REMEASUREMENT OF THE 
1980 NCFIA INVENTORY 


The first sample was based on the 
remeasurement of aerial photo and ground 
plots taken during the 1980 NCFIA inventories 


of North and South Dakota. These inventories 


used double (two phase) sampling for stratifica- 
tion as presented in various texts on sampling 
such as Cochran (1977) and Loetsch and Haller 
(1964). Aerial photo plots were observed in the 
first phase and ground measurement or field 


plots were measured in the second phase. 


1980 NCFIA INVENTORY 
AERIAL PHOTO PLOTS 
(PHASE 1) 


The first phase of the 1980 inventory was a 
systematic sample of aerial photo plots 
distributed over the entire State. Sampling was 
completed using a grid at the intensity of 121 
photo plots per township (6 miles by 6 miles). 
This provided a phase | sampling rate of one 
photo plot per 190.4 acres. Each photo sample 
plot was classified as forest, nonforest, ques- 
tionable (samples where the photo interpreter 
was unable to make a definite call between 
forest and nonforest), or unproductive. The 
distribution of photo plots by aerial photo 
classification in the 1980 NCFIA forest 


inventory is shown in table B. 


1980 NCFIA INVENTORY 
GROUND PLOTS (PHASE 2) 


A systematic sample of the aerial photo plots 
was selected as ground plots in phase 2 of the 
1980 inventory. Within the two States, a total 
of 24,446 ground plots were selected from the 
478,210 photo plots. These ground plot 
locations were carefully examined stereoscopi- 
cally, pin pricked on the aerial photo, and 
assigned a ground plot identification number. 
Ground plots that definitely were not forest 
land were given a nonforest ground land-use 
classification (more detailed than the photo 
classification done on all photo plots) by the 
photo interpreter and not sent to the field for 
measurement. These plots are referred to as 
office ground plots. Ground plot locations that 
could possibly be forest land (those classified as 


forest, questionable, or unproductive) were 


Table B —Number of aerial photo plots in the 1980 inventory of North 


and South Dakota 


North Dakota 


South Dakota 


Both States, 


statewide inventory BIA lands 
inventory outside BHNF only 
Forest 2,848 4,222 992 
Questionable 247 530 109 
Unproductive 401 5g 65 
Nonforest 223,397 246,506 65,965 
Total 226,893 Zoe oly, 67,131 


Table C_—Number of ground plots in the 1980 inventory of North 


and South Dakota 


North Dakota 


South Dakota Both States, 


statewide inventory BIA lands 
inventory outside BHNF only 
Forest 2S 429 gi 
Questionable 19 75 13 
Unproductive 31 8 5 
Nonforest A7A83 6,085 3,266 
Total AJ AbZ 6,597 3,375 


sent to the field for ground classification. The 
ground plot sampling intensity varied by 
inventory unit and was as low as one ground 
plot per 2,541 acres in North Dakota and as 
high as one ground plot per 6,892 in eastern 
South Dakota. The distribution of ground plots 
by aerial photo classification in the 1980 
NCFIA inventory is shown in table C. 


Estimates of the forest resources presented in 
1980 inventory reports are based on double 
sampling for stratification based on these four 


Strata. 


REMEASUREMENT OF THE 
1980 NCFIA INVENTORY 


The aerial photo classification completed in 
the 1980 inventory was used for stratification 
in the first sample of the 1994-1996 North and 


South Dakota forest resources inventory. These 


478,210 photo plots were used as the phase | 
sample to estimate the area in each of the four 
strata. The second phase used plots that were 
visited by field crews to sample and observe 

ground conditions (land use, volume, growth, 


mortality, removals, etc.) within the four strata. 


The 1980 ground plots measured in the field 
form the second phase of this sample. In the 
forest, questionable, and unproductive strata, 
remeasurement observations of every system- 
atic ground plot location established during the 
1980 inventory were used to estimate average 
ground conditions within each strata in 1994. 
In the nonforest stratum, a cluster sampling 
scheme (using townships as clusters) was used 
to make repeated ground observations of the 


photo plots established in the 1980 inventory. 


This sampling scheme was selected to improve 
our ability to estimate the area of forest, with 
particular emphasis on estimating the actual 


area of land change to and from forest. Because 


all stratification was based on the same photo 
classification used in the previous inventory, 
estimates of change in forest area cannot be 
biased by differences in the quality of the aerial 
photography, the equipment and techniques 
used, and the individual photo interpreters and 
their skills. This design maintained the same 
level of intensity as the previous inventory in 
the strata where most of the forest land was 
found in the 1980 inventory (the forest and 
questionable strata) and in those strata from 
which most of the additional forest land was 
anticipated to come (the unproductive stra- 
tum). The photo plots that were classified as 
nonforest in the 1980 inventory were, by far, 
the largest portion of the 1980 photo sample. 
In addition, on a plot by plot basis, this stratum 
was anticipated to have a low probability of 
currently being forest. Cluster sampling 
provided an efficient sample of this large area 
with a low probability of change, by examining 
a large number of locations at two points in 
ume. 


Where double sampling was used in the forest, 
questionable, and unproductive classifications, 
the ground plot sampling intensity was one 
plot per 2,876 acres in North Dakota and one 
plot per 1,774 acres in South Dakota. In the 
nonforest stratum where cluster sampling was 
used, 155 townships from the total of 3,902 
townships in the region were sampled. The 
ground plot intensity in this region for the 
nonforest without tree stratum was 9,427 acres 
per plot. On BIA lands, additional new plots 
were established at existing aerial photo plots 
to approximately double the ground plot 
intensity. 


Every ground plot in the 1994 inventory was 
classified for disturbance and other changes 
that may have taken place between 1980 and 
1994. Disturbed plots are those plots that 
showed evidence of harvesting, insect or 
disease damage, land-use change, or other 
significant changes since the last inventory. A 
subset of the undisturbed forest ground plots 
was not remeasured. Instead, these plots were 
updated using the Stand and Tree Evaluation 
Modeling System (STEMS) (Belcher et al. 
1982). The undisturbed forest plots that were 
remeasured were used to adjust the STEMS 


model for discrepancies between updated and 


actual remeasurements using methods pre- 
sented in Hansen (1990) that have been used 
in the previous NCFIA inventories in Michigan, 
Minnesota, Iowa, Missouri, and Wisconsin. The 
undisturbed forest plots that were not re- 
measured are referred to as pseudo-remeasure- 
ment plots because they contain all the data 
normally collected on a remeasure-ment plot 
(new plot and tree level data) but without the 
expense of a field visit. This methodology has 
been very efficient in other States inventoried 
by NCFIA. Because these undisturbed forest 
plots were not remeasured, other resources 
were available to establish additional ground 
plots for the second inventory based on the 
NRCS-NRI. 


SAMPLE BASED ON THE 
NRCS-NRI 


Just before this inventory, the Natural Re- 
sources Conservation Service (NRCS) con- 
ducted its National Resources Inventory (NRI) 
in the Plains States (U.S. Department of 
Agriculture, Soil Conservation Service 1991) 
using a two-stage sampling design. This sample 
design consisted of 160-acre and 640-acre 
primary sampling units (PSU) with three 2-acre 
secondary sampling units (SSU) located within 
the PSUs. The NRCS-NRI inventory sampled all 
lands except those owned by the Federal 
government. Estimates of the 1994 forest 
resources on Federal lands (primarily Forest 
Service, Corps of Engineers, and Bureau of 
Indian Affairs lands) come entirely from the 
NCFIA inventory described in the previous 
section. The data collected in the NRI formed 
the basis for stratification of the second 


independent inventory. 


This second portion of the overall inventory of 
the North and South Dakota forest resources 
used the NRCS-NRI area estimates and point 
data as its basis for stratification and ground 
plot location in a double sampling scheme 
similar to the first portion of the inventory (the 
NCFIA remeasurement of the 1980 field 
ground plots). The number of 2-acre SSU plots 
sampled by NRCS-NRI are shown in table D. 


Table D.—Number of NRI-SSU plots available for remeasurement in the inventory of North 


and South Dakota 


North Dakota 


state-wide 
inventory 


Forest (20 percent 


tree cover or greater) Dipe| 
Nonforest (less than 20 

percent tree cover) 234,858 
Total ESTE STES| 


NCFIA photo classified and installed standard 
NCFIA field ground plots on a subset of the 
NRI-SSU plot locations. The selection criteria 
used resulted in a random sample of 5 percent 
of all PSUs and established plots at all three 
SSU points within this 5-percent sample. In 
addition, any SSU having 20 percent or greater 
tree cover was also included in the NCFIA 
sample. This subsampling of the NRI (5 
percent of the less than 20 percent tree cover 
and 100 percent of the 20 percent or more tree 
cover) formed the basis of the estimation of 
means within strata. The average sampling 
intensity was approximately one ground plot 
per 6,000 acres in the forest stratum and one 
ground plot per 60,000 acres in the nonforest 


stratum. 


COMBINED ESTIMATE 
BASED ON THE TWO 
INDEPENDENT 
INVENTORIES 


These two inventories produced two indepen- 
dent estimates of the forest resources. Final 
estimates presented in this report are based on 
weighted averages from these two independent 
estimates. Weighting was proportional to the 
number of ground plots on forest land for the 
estimates of most items including area, 
number of trees, volume, growth, mortality, 
and biomass. Weighting based on the number 
of remeasurement plots on forest land was 


used for estimates of items that can only be 


South Dakota Both States, 
inventory outside BIA lands 
BHNF / only 


841 584 
192,495 70,030 
193,336 70,614 


obtained from remeasurement plots, including 


removals and area change over time. 


FIELD MEASUREMENTS: 
1980 INVENTORY PLOT 
DESIGN 


On plots classified as timberland, wooded 
pasture, or windbreak (at least 120 feet wide), 
a ground plot was established or remeasured, 
or the growth and mortality of its trees were 
predicted using the STEMS models. Old plots 
selected for remeasurement that could not be 
relocated were replaced with new plots at the 
approximate locations of the old plots. Each 
ground plot consisted of a cluster of 10 
subplots collectively covering approximately 1 
acre. Trees 5.0 inches or greater in d.b.h. were 
sampled using 37.5 basal area factor (BAF) 
variable-radius plots, and trees less than 5.0 
inches d.b.h. were sampled on 6.8-foot radius 
(1/300th acre) microplots established at the 
centers of subplots 1, 2, and 3. Under the 
estimation procedures used for this inventory, 
an entire plot was represented by a single 
condition class where condition was deter- 
mined by forest type, stand-size class, land use, 
stand origin, and density. Thus, the arrange- 
ment of the 10 subplots within the plot was 
adjusted if any subplots were located in 
condition classes different from that of subplot 
1. In particular, if a subplot was located outside 
the condition class for the plot, it was re- 
established or rotated into the condition class 


used for the entire plot. For example, if 


17 


subplots | through 9 were located in forest 
land and subplot 10 was located in a pasture, 
then subplot 10 was rotated back into the forest 


land condition class. 


FIELD MEASUREMENTS: 
1994-1996 INVENTORY 
PLOT DESIGN 


Field ground plots were established or 
remeasured, or the growth and mortality of 
their trees were predicted using the STEMS 
models for all forest lands (including reserved 
forest land, unproductive forest land, and 
timberland), wooded pasture, or windbreaks 
(at least 120 feet wide). Establishing ground 
plots on all forest lands represented a major 
change between the 1980 and the 1994-1996 


inventories. 


The new overall plot layout consisted of 10 
subplots arranged in a cluster with 70 feet 
between subplots. The basic locations of plots 
and subplots were the same as in the 1980 plot 
layout. All trees less than 5 inches in d.b.h. 
were measured on 6.8-foot radius (1/300th 
acre) microplots established at the centers of all 
10 subplots. (In 1980, these microplots were 
measured only on subplots 1, 2, and 3). This 
radius was the maximum distance at which a 
5.0-inch-d.b.h. tree would be selected using a 
basal area factor (BAF) of 37.5. Trees with 
diameters between 5.0 and 17.0 inches were 
selected for measurement at each of the 10 
subplots with a BAF of 37.5. All trees greater 
than 17.0 inches d.b.h. located within a 24-foot 
radius macroplot centered at each of the 10 


subplots were selected for measurement. 


In the new plot design, subplots of the same 
plot were not rotated, even if they were located 
in multiple condition classes or straddled 
condition classes. As in 1980, factors determin- 
ing condition class were forest type, stand-size 
class, land use, stand origin, and density. Plots 
with multiple condition classes were mapped in 
the field to record how the boundaries between 


classes split the plot. This procedure identified 


the area of the plot located in each class and 
assigned each tree to a specific class. When 
multiple condition classes occurred on a plot, 
all information normally collected for the plot 
as a whole, such as forest type, site index, stand 
age, and stand-size class, was collected for each 


condition class. 


On remeasured plots, the rotated subplots and 
all trees measured from the 1980 plot design 
were also remeasured to obtain change data 
such as growth and mortality. On new plots, 


subplots were not rotated. 


NEW INVENTORY PLOTS 


New ground plots were selected from the plots 
identified in NCFIAs evaluation of the NRCS- 
NRI inventory. These new ground plots were 
established, and measures of current classifica- 
tion such as land use, forest type, and owner- 
ship, as well as size and condition of all trees 
on the plot, were recorded. These locations 


were monumented for future remeasurement. 


OLD INVENTORY PLOTS 


Old inventory plots are those plots established, 
monumented, and measured as part of the 
1980 field inventory. The Inventory procedures 
used for these old plots were different from 
those used for new plots. Old plots were 
classified as “disturbed” on the basis of aerial 
photo analyses if either: 1) a reduction in 
vegetation on the plot occurred between 
inventories that resulted in a detectable change 
in the structure or function of the plant 
community; or 2) conditions on the plot were 
such that the STEMS models were unable to 
accurately predict growth or mortality. Plots not 
predicted to be disturbed were classified as 
“undisturbed.” All disturbed plots and a one- 
third sample of the undisturbed plots were field 
remeasured to obtain estimates of current 
conditions and changes since the last inventory. 
All remaining live trees measured on these plots 
in 1980 were remeasured, and all new trees 


were identified and measured. 


Of the timberland plots measured in 1980, 
many were not remeasured for the 1996 
inventory. On BIA lands, a total of 6 timber- 
land plots were classified “undisturbed” and 
not remeasured (table E). Growth and 
mortality for these plots were predicted using 
the STEMS models as a means of obtaining 
growth and current volume. A comparison of 
the predicted growth and mortality for these 
undisturbed plots and observations of growth 
and mortality for the one-third sample of 
remeasured undisturbed plots was used to 
adjust the model predictions to accommodate 
local conditions. The adjustment procedure is 
a modified version of the method described by 
Smith (1983). 


The undisturbed timberland plots whose 
growth and mortality were predicted were 
treated in the estimation process as measured 
ground plots, even though they were not 
visited by field crews. The plot records for 
these plots were sent to the field for verification 
of current ownership information. All old plots 
classified as disturbed were selected for 
remeasurement to assess and verify changes 
since the last inventory. Table E summarizes 
the distribution of all ground plots by type and 
plot. 


Table E.—Distribution of ground plots by ground land-use class and type of plot, 1994-1996 inventory of the North Dakota 


and South Dakota forest resources 


Sample base '! 


1980 NCFIA Remeasurement 


NRCS-NRI 


North Dakota statewide inventory 
Timberland 
Other forest land 
Nonforest with trees 
Nonforest without trees 
Water 
Total 


South Dakota inventory outside 
the Black Hills National Forest 

Timberland 

Other forest land 

Nonforest with trees 

Nonforest without trees 

Water 
Total 


Both States, BIA lands only 
Timberland 
Other forest land 
Nonforest with trees 
Nonforest without trees 
Water 

Total 


Remeasured Updated 


WAS 48 
44a 0 
333 13 
8,994 10 
12a 0) 
9,617 7) 
322 10 
33 0 
437 {| 
5,995 0 
101 0 
6,888 11 
63 6 

11 0 
109 0 
ZA, 0 
31 0) 
2,30) 6 


New 


85 
12 
80 
734 
10 
921 


Total plots 


258 

56 

426 
9,733 
131 
10,609 


408 
39 
632 
6,734 
105 
LONG 


131 
AZ 
WAS 
2,677 
36 
3,036 


' Plots that straddle more than one land use are included in this table in the land-use class that occurs first on this list. For example, a plot that straddled 
other forest land and water would be includd in this table as other forest land. 


20 


COMPUTATION OF 
ESTIMATES 


Area 


All area estimates were made using two-phase 
estimation methods. In this type of estimation, 
a preliminary estimate of area by land use is 
obtained from stratification (Phase 1) and 
corrected by plot measurements (Phase 2). A 
complete description of these methods is 

' presented by Loetsch and Haller (1964). 


Volume 


Estimates of volume per acre were made from 
the measurements and predictions for trees on 
each of the 10 subplots per plot. For each 
condition class on a plot, the volume per acre 
estimate was multiplied by the area estimate 
represented by the condition, and these 
products were summed over all plots to obtain 
estimates of total volume for the condition 
class. Net cubic and board foot volumes are 
based on tree measurements (d.b.h., tree class, 
and site index) and volume equations pre- 
sented by Hahn and Hansen (1984). 


Growth and Mortality 


On remeasured plots, estimates of growth and 
mortality per acre were derived from 
remeasurements and observations of trees that 
died between inventories. These estimates were 
based on the remeasurement of the 1980 
inventory plots using the 1980 plot design. 
Growth, reported as average annual net growth 
between the 1980 and 1994 inventories, was 
computed from data for both plots that had 
been remeasured and plots whose growth and 


mortality had been predicted using methods 


presented by Van Deusen et al. (1986). Average 
annual mortality was also calculated for the 


remeasurement period. 


On new plots, estimates of growth and 
mortality were obtained by using the STEMS 
models to predict growth and mortality for 1 
year. Current diameter and living tree estimates 
for old undisturbed plots were predicted using 
growth and mortality predictions and were 
derived in the same manner as for remeasured 
plots. To accommodate local conditions, 
predictions of growth and mortality from the 
STEMS models were adjusted using data from 
the undisturbed remeasured plots. As with 
volume, total growth and mortality estimates 
were obtained by multiplying the plot-level per 
acre estimates by area expansion factors and 
then summing over plots. Current annual net 
growth for 1994 was computed using adjusted, 
1-year STEMS predictions of growth for all 
inventory plots. 


Average Annual Removals 


Average annual growing-stock and sawtimber 
removals (1980-1993) were estimated only 
from the remeasured plots. These estimates 
were based on the remeasurement of the 1980 
inventory plots using the 1980 plot design. 
Measurements for new plots and predictions 
from the STEMS models were not used to 
estimate removals. These estimates were 
obtained from trees measured in the last 
inventory and either cut or otherwise removed 
from the timberland base. Because 
remeasurement plots constitute about one-half 
the total ground plots, and not all remeasured 
plots had cutting, average annual removals 
estimates have greater sampling errors than 


volume and growth estimates. 


TREE AND LOG GRADES 


The Forest Service reports all board foot 
volume in International 1/4-inch rule. In the 
Dakotas, the Scribner log rule is commonly 
used. Scribner log rule conversion factors were 
derived from full tree measurements and an 
equation developed by Wiant and Castenaeda 
(1977). The factors (multipliers) used to 
convert board foot International volumes to 


the Scribner rule are shown in the following 


tabulation: 


D.b.h. Scribner rule conversion factor 
(inches) Softwoods . Hardwoods 
9.0-10.9 0.7830 —_ 
11.0-12.9 0.8287 0.8317 
13.0-14.9 0.8577 0.8611 
15.0-16.9 0.8784 0.8827 
17.0-18.9 0.8945 0.8999 
19.0-20.9 0.9079 0.9132 
21.0-22.9 0.9168 0.9239 
23.0-24.9 0.9240 0.9325 
25.0-26.9 0.9299 0.9396 
27 .0-28.9 0.9321 0.9454 
29.0+ 0.9357 0.9544 


Log grades and tree grades were based on the 
classification of external characteristics as 
indicators of quality. Log grades or tree grades 
were taken on approximately one-third of the 
sample plots. All sawtimber softwood sample 
trees were graded for quality and assigned a 
butt log grade. All sawtimber hardwood sample 
trees were graded for quality and assigned a 
tree grade. The volume yield by log grade or 
tree grade for this sample was used to distrib- 
ute the volume of the ungraded sample trees 


by species group. 


Hardwood sawtimber trees were graded 
according to “Hardwood tree grades for factory 
lumber” (Hanks 1976). The best 12-foot 
section of the lowest 16-foot hardwood log was 
used for grading. Hardwood sawtimber trees 
that did not meet minimum tree grade 
specifications for grades | through 3 were 
assigned grade 4 according to Forest Service 
standard specifications for hardwood construc- 
tion logs described in “A guide to hardwood 
log grading” (Rast et al. 1973). 


Ponderosa pine and other softwood sawtimber 
trees were graded according to USDA Forest 
Service specifications. For all softwoods, the 
first merchantable 16-foot log or shorter 


lengths down to 12 feet were used for grading. 


21 


x 
N 


N 


Hardwood Tree Grade for Factory Lumber ? 


Grade factor Tree grade 1 Tree grade2 Tree grade 3 


Length of grading zone (feet) Butt 16 Butt 16 Butt 16 
Length of grading section ° (feet) Best 12 Best 12 Best 12 
D.b.h., minimum (inches) 16° 13 11 


D.i.b., minimum at top of grading 


section (inches) 13° 16 920 Ae 2 8 
Clear cuttings (on the 3 best faces) ° 

Length, minimum (feet) Y eh ae) 3 3 2 

Number on face (maximum) 2 2 3 Unlimited 

Yield in face length (minimum) 5/6 4/6 3/6 


Cull deduction (including crook and 
sweep, but excluding shake) 
maximum within grading 


section (percent) 


® 


Hanks (1976) 

Whenever a 14- or 16-foot section of the butt 16-foot log is better than the best 12-foot section, 
the grade of the longer section will become the grade of the tree. This longer section, when used, 
is the basis for determining the grading factors such as diameter and cull deduction. 

© /n basswood and ash, d.i.b. at top of grading section must be 12 inches and d.b.h. must be 15 
inches. 

Grade 2 trees can be 10 inches d.i.b. at top of grading section if they otherwise meet surface 
requirements for small grade 1's. 

A clear cutting is a portion of a face free of defects, extending the width of the face. A face is one- 
fourth of the surface of the grading section as divided lengthwise. 

Fifteen percent crook and sweep or 40 percent total cull deduction are permitted in grade 2 trees, 
if size and surface of grading section qualify as grade 1. If rot shortens the required clear cuttings 
to the extent of dropping the butt log to grade 2, do not drop the tree's grade to 3 unless the cull 
deduction for rot is greater than 40 percent. 


oo 


Q 


) 


Forest Service Standard Specifications for Hardwood Construction Logs 
(tie and timber logs) 7" 


Position in tree Butts and uppers 

Minimum diameter, small end 8 inches 

Minimum length without trim 8 feet 

Clear cuttings No requirements 

Sweep allowance One-fourth of the diameter at the small 
end for each 8 feet of length. 


Sound surface defects: 
Single knots Any number, if no one knot has an average 
diameter above the callus in excess of one-third 
of the log diameter at point of occurrence. 


Whorled knots Any number, if the sum of knot diameters above 
the callus does not exceed one-third of the log 


diameter at point of occurrence. 


Holes Any number, provided none has a diameter 
over one-third of the log diameter at point of 
occurrence and none extends more than 3 
inches into included timber °. 
Unsound surface defects: Same requirements as for sound defects if 


they extend into included timber. 


No limit if they do not. 


? Rast et al. (1973). 

© These specifications are minimum for the class. If, from a group of logs, factory logs are selected first, 
thus leaving only nonfactory logs from which to select construction logs, then the quality range of the 
construction logs so selected is limited, and the class may be considered a grade. If selection for 
construction logs is given first priority, it may be necessary to subdivide the class into grades. 

© Included timber is always square, and dimension is judged from small end. 


24 


Log Grades for Ponderosa Pine and Other Softwoods 


Grade 1 


1. Trees must be 16 inches in diameter or larger, grading section 12 feet in length or longer, 
and with deduction for defect not over 30 percent of gross scale. 


2. Trees must be at least 75 percent clear on each of three faces. 
3. All knots outside clear cutting must be sound and not more than 2-1/2 inches in size. 


Grade 2 

1. Trees must be 12 inches in diameter or larger, grading section 12 feet in length or longer, 
and with a net scale after deduction for defect of at least 50 percent of the gross scale 
deducted for defect. 


2. Trees must be at least 50 percent clear on each of three faces or 75 percent clear on two 
faces. 


Grade 3 

1. Trees must be 6 inches in diameter or larger, grading section 12 feet in length or longer, and 
with a net scale after deduction for defect of at least 50 percent of the gross contents of 
the log. 


Note: Diameters are diameter inside bark (d.i.b.) at small end of grading section. 


Percent clear refers to percent clear in one continuous section. 


METRIC EQUIVALENTS 


1 acre = 4,046.86 square meters or 0.405 
hectare. 

1,000 acres = 405 hectares. 

1 cubic foot = 0.0283 cubic meter. 

1 foot = 30.48 centimeters or 0.3048 meter. 

1 inch = 25.4 millimeters, 2.54 centimeters, or 
0.0254 meter. 

1 pound = 0.454 kilograms. 


1 ton = 0.907 metric tons. 


TREE SPECIES GROUPS IN NORTH AND SOUTH DAKOTA 
(LITTLE 1981) 


Hardwoods 

Silvergmiayyleigeee tease cence eines eat Aon eit 1dsVeaisvuce.catuce cecussgePtinesnee,ciebesseeeteds Acer saccharinum 

IPPATOETe | OVTRELAL 2 a acl ac racee etnias so reelserscee car Rec Seen Eerie Beep cee ae SOR Hee Nar Betula papyrifera 

JRUNGEIC I ONE OV lees a oat ANC oa A ee ee aoe aK i an aaa ea B. nigra 

ECG MOYEN A a Re aco eR LSC RE ay ue rt oe aa Celtis occidentalis 

Navies Note: Many additional tree 
Bi ACheaS es ects tcc ee eR A Heide aS cance vetted ata seeh ase SM, GS. beset Bac Fraxinus nigra species have been planted 
(GT ES ea a ne ce a carer ee CL eRe ne ee eR E pennsylvanica around homesteads and 

Cottonwoods 2 farm headquarters in rural 
BASLERMYCOLLOTIW OO CIA tere i ausivesy atta trust lew aeert teen Pl taisee tes, sae URMLane a Populus deltoides North and South Dakota, in 
Blainsycovton wooden seme cham twin, ms, i. sit) Reena erty haa Soe ye P. sargentii urban settings, and in tree 

Balsatiyiop lata ye. tremascertie ty tere Ak co Mroiee oti. ER alle. Meade) MTU eid exons BO P balsamifera plantings. However, only 

@yWalcim SEAS De Mia eee terete ee Bens anee aca na A i ac ce saeco cceuee ceueiree ic. eats woth tes P. tremuloides those species encountered 

JB Yee Ch OVA a a a LS ee APRN a ee a I RR Prunus serotina during the third inventory 

SEIS HENS CLES | of the forest resources of 
IBYUGe (Oil Serck ea eda eta cA US ted ORR ACen IER eR ne ee eR IR a ae a Quercus macrocarpa Non and South Dakota 

Blaclavvnillowiacat ave rtee ieiiarten tem anil Went acta ute a Nua tS Veatch witeias aueca/apatedeusa tt Salix nigra 

PATTIE TH CAT ASS WOO Ceca teense Uae (hin nib Ee eh ee eae NMUlD eee AlIANIL LG Tilia americana die Stee tere fore 

Elms complete list of all of the 
STING TLC ATANC INARA eters MOE testes dit cine seeds Meteosat Mtl Meateate ek eect nne Ulmus americana He soles, alee 
Sibenianyelmntase tence Meee nn meen Ree 2 a eile Pensa here He Scat Weetde sa U. pumila contact the North or South 
Soy ayer, CaaS AEE IS a a MN U. rubra Dakota Forest Service or 

Other hardwoods your local Extension 
Boxe | cleigaperen aut OMe ese Mis genni aa. bat Ratt tials coh Gauss Acer negundo Service office. 
NAVIES OO) DIET ee anes ae ake Nach te Ab ara a A RS ne ey ee Populus alba 

Softwoods * 

ROCK ya Mo um tainty Ut er, cee etereeteh tate. stec-tnect sateen da ne teesteas een saleciedev vest: Juniperus scopulorum 

BAStenmiereC Ce aluet aso men nt ata awe a Ne eine Abt mu od 2 eee e eet oe J. virginiana 

ROM GlenOsaypinlepe meester: Re heretic dl aid ven isret 0 Ube owen ae teehee Pinus ponderosa 

NMA AUIS SOLELY SS spe separa Ne Rat og ee ate ae ge ea flo MP ap 2 ie Picea glauca 


Other softwoods 


BINERS Pmt Cope eee cet teem fam tarts mie Macs tet eRe Mapa dA ho erat an Mt es eebe seman P. pungens 


Noncommercial species 


EASTGIMENO PM OLMOCATI rest cs eent o.c: Dmteeds t Sahtea Wiaaia a ean ca vat, gens aaa ates Seah ear ee Ostrya virginiana 
[BIER LOO LAAT cey <Cedbe yor ec ae Se SUG ae ye Nn a eee Ue BR APE ee Crataegus spp. 
AVGIIGGE Jo) IDO g a aa ce unr Ue Seep cM Ew 3 Prunus spp. 
@hTOK CEI Te ig gery ee sd Seats BREN Ea AR Na do an ei see RIN Ue aS iE bcs hae P virginiana 
[Pith CLITA? octet sential ic cnc aacn preg so Se soch aE RRA Ei Ren BLE Ee i Pee Ce ae one PET tee P pensylvanica 
KE ATIAG Aap | Uunanes ereee tee eee eh aia nd ee GS nts ate oR Jee caress a0 Me te mine aah ni gdm 2 hae a P. nigra 
IDV Tineupval iin VOSS aa es Pee ee re ae a a eee eee Oe Salix bebbiana 
IAAT vuRL LT @ yigeione cee ee A a AN NEE 8 pe SR a MAM dea gre Pet ee ae MU ee ne S. alba 
Reachileatawpllowsrmbuianeen mteee Moria nak 1s cA eie ee ake TIM siete Ure eens S. amygdaloides 


' This species or species group is considered a hard hardwood, with an average specific gravity greater than or 
equal to 0.50. 
* This species or species group is considered a softwood or a soft hardwood, with an average specific gravity of 
less than 0.50. 


DEFINITION OF TERMS 


Average annual mortality of 
growing stock 

The average cubic foot volume of sound 
wood in growing-stock trees that died in 
one year. Average annual mortality is the 
average for the years between inventories 


(1980 through 1993 in this report). 


Average annual mortality of 
sawtimber 

The average board foot volume of sound 
wood in sawtimber trees that died in one 
year. Average annual mortality is the 
average for the years between inventories 


(1980 through 1993 in this report). 


Average annual removals from 
growing stock 

The average net growing-stock volume in 
growing-stock trees removed annually for 
roundwood forest products, in addition to 
the volume of logging residues and the 
volume of other removals. Average annual 
removals of growing stock is the average 
for the years between inventories (1980 
through 1993 in this report) and is based 
on information obtained from remeasure- 
ment plots (see Survey Procedures in the 


appendix). 


Average annual removals from 
sawtimber 

The average net board foot sawtimber 
volume of live sawtimber trees removed 
annually for roundwood forest products, 
in addition to the volume of logging 
residues, and the volume of other 
removals. Average annual removals of 
sawtimber is the average for the years 


between inventories (1980 through 1993 


26 


in this report) and is based on information 
obtained from remeasurement plots (see 


Survey Procedures in the appendix). 


Average annual net growth of 
growing stock 

The annual change in cubic foot volume 
of sound wood in live sawtimber and 
poletimber trees, and the total volume of 
trees entering these classes through 
ingrowth, less volume losses resulting 
from natural causes. Average net annual 
growing stock is the average for the years 
between inventories (1980 through 1993 


in this report). 


Average annual net growth of 
sawtimber 

The annual change in the board foot 
volume of live sawtimber trees, and the 
total volume of trees reaching sawtimber 
size, less volume losses resulting from 
natural causes. Average net annual growth 
of sawtimber is the average for the years 
between inventories (1980 through 1993 


in this report). 


Basal area 

Tree area in square feet of the cross section 
at breast height (4.5 ft) of a single tree. 
When the basal areas of all trees in a stand 
are summed, the result is usually ex- 
pressed as square feet of basal area per 


acre. 


Biomass 
The aboveground volume of all live trees 
(including bark but excluding foliage) 
reported in green tons (i.e., green weight). 
Biomass has four components: 
Bole.—Biomass of a tree from | foot 
above the ground to a 4-inch top 


outside bark. 


Tops and limbs.—Total biomass of a tree 
from a 1-foot stump minus the bole. 

1- to 5-inch trees.—Total aboveground 
biomass of a tree from 1 to 5 inches in 
diameter at breast height. 

Stump.—Biomass of a tree 5 inches 
d.b.h. and larger from the ground to a 


height of 1 foot. 


Bolts 

Roundwood logs of less than 8 feet in 
length that are converted into shingles, 
cooperage stock, dimension stock, blocks, 
blanks, excelsior, etc. No minimum 
diameter limits. Does not include logs 
used for the manufacture of pulp or 


veneer. 


Commercial species 

Tree species presently or prospectively 
suitable for industrial wood products. 
(Note: Excludes species of typically small 


size, poor form, or inferior quality.) 


Cord 

One standard cord is 128 cubic feet of 
stacked wood, including bark and air 
space. Cubic feet can be converted to 
solid wood standard cords by dividing by 


79. 


Corporate 
Lands owned by a private corporation not 
in the business of operating primary 


wood-using plants. 


County and municipal land 

Land owned by counties and local public 
agencies or municipalities, or land leased 
to these governmental units for 50 years 


or more. 


Cropland 

Land under cultivation within the last 24 
months, including cropland harvested, 
crop failures, cultivated summer fallow, 
idle cropland used only for pasture, 
orchards, active Christmas tree plantations 
indicated by annual shearing, nurseries, 
and land in soil improvement crops, but 
excluding land cultivated in developing 


improved pasture. 


Cull 

Portions of a tree that are unusable for 
industrial wood products because of rot, 
missing or dead material, form, or other 


defect. 


Current annual net growth of 
growing stock 

The annual change in volume of sound 
wood in live sawtimber and poletimber 
trees, and the total volume of trees 
entering these classes through ingrowth, 
less volume losses resulting from natural 
causes, reported for a single year (1993 in 
this report). Current growth is based on 
an estimate of the current annual incre- 
ment of each growing-stock tree in the 


inventory. 


Current annual net growth of 
sawtimber 

The annual change in the volume of live 
sawtimber trees, and the total volume of 
trees reaching sawtimber size, less volume 
losses resulting from natural causes, 
reported for a single year (1993 in this 
report). Current growth is based on an 
estimate of the current annual increment 


of each growing-stock tree in the inven- 


tory. 


Current annual removals from 
growing stock 

The current net growing-stock volume in 
growing-stock trees removed annually for 
roundwood forest products, in addition to 
the volume of logging residues, and the 
volume of other removals. Current annual 
removals of growing stock is reported for 
a single year (1993 in this report); it is 
based on a survey of primary wood 
processing mills to determine removals for 
products and on information from 
remeasurement plots (see Survey Proce- 
dures in the appendix) to determine 


removals due to land-use change. 


Current annual removals from 
sawtimber 

The current net board foot sawtimber 
volume of live sawtimber trees removed 
annually for roundwood forest products, 
in addition to the volume of logging 
residues, and the volume of other 
removals. Current annual removals of 
sawtimber is reported for a single year 
(1993 in this report); it is based on a 
survey of primary wood processing mills 
to determine removals for products and 
on information from remeasurement plots 
(see Survey Procedures in the appendix) 
to determine removals due to land-use 


change. 


Diameter class 

A classification of trees based on diameter 
outside bark, measured at breast height 
4.5 feet 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 Inventory 
and Analysis, 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. 


Diameter at breast height (d.b.h.) 
The outside bark diameter at 4.5 feet 
(1.37 m) above the forest floor on the 
uphill side of the tree. For determining 
breast height, the forest floor includes the 
duff layer that may be present, but does 
not include unincorporated woody debris 


that may rise above the ground line. 


Forest industry land 
Land owned by companies or individuals 


operating primary wood-using plants. 


Forest land 

Land at least 10 percent stocked (Note: 
historically, 16.7 percent was used based 
on full stocking equaling 167 percent. 
Consequentially, this equaled a standard 
of 10 percent based on the 100-percent 
scale that is now used) by forest trees of 
any size, or formerly having had such tree 
cover, and not currently developed for 
nonforest use. (Note: Stocking is mea- 
sured by comparing specified standards 
with basal area and/or number of trees, 
age or size, and spacing.) 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 feet 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 if less than 120 feet wide. (See Tree, 
Land, Timberland, Reserved forest land, 


Other forest land, Stocking, and Water.) 


Forest type 

A classification of forest land based on the 
species forming a plurality of live tree 
stocking. The associated species for each 
forest type are based on net volume of 
growing stock and all live biomass by 


species group and forest type from the 


27 


1994-1996 inventory of North and South 
Dakota forests. Major forest types found 


are: 


Ponderosa pine.—Forests in which 
ponderosa pine comprises a majority of 


the forest stocking. 


Rocky Mountain juniper.—Forests in 
which Rocky Mountain juniper comprises 
a majority of forest stocking. A common 
associate of the Rocky Mountain juniper 


forest type is green ash. 


Bur oak.—Forests in which bur oak 
comprises a majority of forest stocking. 
Species commonly associated with the bur 
oak forest type in North and South Dakota 


include basswood and green ash. 


Cottonwood.—Forests in which cotton- 
wood comprises a majority of the forest 
stocking. A common associate of the 
cottonwood forest type in North and 


South Dakota is green ash. 


Elm-ash-cottonwood.— 

Lowland forests in which cottonwood, 
green ash, and elm comprise a plurality of 
the forest stocking. A common associate of 
the elm-ash-cottonwood forest type in 


North and South Dakota is bur oak. 


Basswood.—Forests in which hardwoods 
comprise a plurality of the forest stocking. 
Species commonly associated with the 
basswood forest type in North and South 


Dakota include bur oak and green ash. 


Aspen-birch.—Forests in which quaking 
aspen, paper birch, and river birch, singly 
or in combination, comprise a plurality of 


forest stocking. Species commonly 


28 


associated with the aspen-birch forest type 
in North and South Dakota include 


balsam poplar, bur oak, and green ash. 


Elm-ash.—Upland forests in which elm 
and green ash comprise a plurality of the 
forest stocking. Species commonly 
associated with the elm-ash forest type in 
North and South Dakota include cotton- 


wood and bur oak. 


Growing-stock tree 

A live tree of commercial species that 
meets specified standards of size, quality, 
and merchantability. (Note: Excludes 


rough, rotten, and dead trees.) 


Growing-stock volume 

Net volume in cubic feet of growing-stock 
trees 5.0 inches d.b.h. and over, from 1 
foot above the ground to a minimum 4.0- 
inch top diameter outside bark of the 
central stem or to the point where the 


central stem breaks into limbs. 


Hard hardwoods 
Hardwood species with an average 
specific gravity greater than 0.50 such as 


oaks, hard maple, hickories, and ash. 


Hardwoods 
Dicotyledonous trees, usually broad- 
leaved and deciduous. (See Soft hard- 


woods and Hard hardwoods.) 


Improved pasture 

Land currently improved for grazing by 
cultivating, seeding, irrigating, or clearing 
trees or brush and less than 10 percent 


stocked with trees. 


Indian land 
Land held in trust by the United States for 


tribes or individual Indians. 


Industrial wood 
All roundwood products except residen- 


tial fuelwood. 


Land 

(a) Bureau of the Census.—Dry land 
and land temporarily or partly covered by 
water such as marshes, swamps, and river 
flood plains, streams, sloughs, estuaries, 
and canals less than one-eighth of a 
statute mile wide; and lakes, reservoirs, 
and ponds less than 40 acres in area. 

(b) Forest Inventory and Analysis.— 
The same as the Bureau of the Census, 
except minimum width of streams, etc., is 
120 feet and minimum size of lakes, etc., 


is l acre. 


Live trees 
Growing-stock, rough, and rotten trees 
1.0 inch d.b.h. and larger. 


Log grade 

A log classification based on external 
characteristics as indicators of quality or 
value. Log grade was assigned to a sample 
of softwood sawtimber trees throughout 
the States during the 1994 inventory. 
Also see Tree grade. (See appendix for 


specific grading factors used.) 


Logging residue 
The unused portions of the merchantable 
central stem of growing-stock trees cut or 


killed by logging. 


Marsh 

Nonforest land that characteristically 
supports low, generally herbaceous or 
shrubby vegetation, and that is intermit- 


tently covered with water. 


Merchantable 
Refers to a pulpwood or saw log section 
that meets pulpwood or saw log specifica- 


tions, respectively. 


Miscellaneous Federal land 

Federal land other than national forest 
and land administered by the Bureau of 
Land Management, Corps of Engineers, or 


Bureau of Indian Affairs. 


National forest land 

Federal land that has been legally 
designated as national forest or purchase 
units, and other land administered by the 
USDA Forest Service. For example, the 
administrative unit in North Dakota is 
named “Dakota Prairie Grasslands,” and 
the administrative unit in South Dakota is 


the Black Hills National Forest. 


Net volume 
Gross volume less deductions for rot, 
sweep, or other defect affecting use for 


timber products. 


Noncommercial species 

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


industrial wood products. 


Nonforest land 

Land that has never supported forests, 
and land formerly forested where use for 
timber management is precluded by 
development for other uses. (Note: 
Includes areas used for crops, active 
Christmas tree plantations as indicated by 
annual shearing, orchards, nurseries, 
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 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 feet wide 
and more than | acre in area to qualify as 
nonforest land. 

Nonforest land without trees.— 

Nonforest land with no live trees 

present. 

Nonforest land with trees.—Nonforest 

land with one or more trees per acre at 


least 5 inches d.b.h. 


Nonstocked land 
Timberland less than 10 percent stocked 


with all live trees. 


Other forest land 

Forest land not capable of producing 20 
cubic feet per acre per year of industrial 
wood crops under natural conditions and 
not associated with urban or rural 
development. Many of these sites contain 
tree species that are not currently used for 
industrial wood production or trees of 
poor form, small size, or inferior quality 
that are unfit for most industrial products. 
Unproductivity may be the result of 
adverse site conditions such as sterile soil, 
dry climate, poor drainage, high elevation, 
and rockiness. This land is not withdrawn 


from timber use. 


Other removals 

Growing-stock trees removed but not used 
for products, or trees left standing but 
“removed” from the timberland classifica- 
tion by land-use change. Examples are 
removals from cultural operations such as 
timber stand improvement work and land 
clearing, and the standing volume on land 
classified originally as timberland but later 
designated as reserved from timber 
harvesting (such as a newly established 


State park). 


Pasture 
Land presently used for grazing or under 


cultivation to develop grazing. 


Plant byproducts 
Plant residues used for products such as 


mulch, pulp chips, and fuelwood. 


Plantation 

An artificially reforested area sufficiently 
productive to qualify as timberland. The 
planted species is not necessarily pre- 
dominant. Christmas tree plantations, 
which are considered cropland, are not 


included. 


Plant residues 
Wood and bark materials generated at 
manufacturing plants during production 


of other products. 


Poletimber stand 


(See Stand-size class.) 


Poletimber tree 
A live tree of commercial species at least 
5.0 inches d.b.h., but smaller than 


sawtimber size. 


Potential productivity class 

A classification of forest land in terms of 
inherent capacity to grow crops of 
industrial wood. The class identifies the 
potential growth in merchantable cubic 
feet/acre/year at culmination of mean 
annual increment of fully stocked natural 


stands. 


Private individual land 

Privately owned land not owned by forest 
industry. This class includes the formerly 
used Farmer and Miscellaneous private 


classes. 


Reserved forest land 

Forest land withdrawn from timber use 
through statute, administrative regulation, 
or designation. Note: historically, Christ- 
mas tree plantations were classified as 
reserved forest land. However, Christmas 
tree plantations are now classified as 


cropland. 


Rotten tree 

Live trees of commercial species that do 
not contain at least one 12-foot saw log or 
two saw logs 8 feet 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. 


Rough tree 

(a) Live trees of commercial species 
that do not contain at least one merchant- 
able 12-foot saw log or two saw logs 8 feet 
or longer, now or prospectively, and/or do 
not meet regional specifications for 
freedom from defect primarily because of 
roughness or poor form, and 

(b) all live trees of noncommercial 


species. 


Roundwood products 

Logs, bolts, or other round sections 
(including chips from roundwood) cut 
from trees for industrial or consumer uses. 
(Note: Includes saw logs, veneer logs, and 
bolts; cooperage logs and bolts; pulp- 
wood; fuelwood; pilings; poles; posts; 
hewn ties; mine timbers; and various 


other round, split, or hewn products.) 
Salvable dead tree 


A standing or down dead tree considered 


merchantable by regional standards. 


30 


Sapling 
A live tree 1.0 to 5.0 inches d.b.h. 


Sapling-seedling stand 


(See Stand-size class.) 


Saw log 

A log meeting minimum standards of 
diameter, length, and defect, including logs 
at least 8 feet long, sound and straight and 
with a minimum diameter outside bark 
(d.o.b.) for softwoods of 7.0 inches (9.0 
inches for hardwoods) or other combina- 
tions of size and defect specified by 


regional standards. 


Saw log portion 
That part of the bole of sawtimber trees 


between the stump and the saw log top. 


Saw log top 

The point on the bole of sawtimber trees 
above which a saw log cannot be pro- 
duced. The minimum saw log top is 7.0 
inches d.o.b. for softwoods and 9.0 inches 


d.o.b. for hardwoods. 


Sawtimber stand 


(See Stand-size class.) 


Sawtimber tree 

A live tree of commercial species contain- 
ing at least a 12-foot saw log or two 
noncontiguous saw logs 8 feet or longer, 
and meeting regional specifications for 
freedom from defect. Softwoods must be at 
least 9.0 inches d.b.h. Hardwoods must be 
at least 11.0 inches d.b.h. 


Sawtimber volume 
Net volume of the saw log portion of live 
sawtimber in board feet, International 1/4- 


inch rule (unless specified otherwise), from 


stump to a minimum 7.0 inches top 
d.o.b. for softwoods and a minimum 9.0 


inches top d.o.b. for hardwoods. 


Seedling 

A live tree less than 1.0 inch d.b-h. that is 
expected to survive. Only softwood 
seedlings more than 6 inches tall and 
hardwood seedlings more than | foot tall 


are counted. 


Short-log (rough tree) 

A sawtimber-size tree of commercial 
species that contains at least one 
merchantable 8- to 11-foot saw log but 


not a 12-foot saw log. 


Shrub 
A woody, perennial plant differing from a 
perennial herb in its persistent and 
woody stem(s) and less definitely from a 
tree in its lower stature and/or the 
general absence of a well-defined main 
stem. For this report, shrubs were 
separated somewhat arbitrarily into tall 
and low shrubs as follows: 
Tall shrubs.—Normally taller than 1.6 
to 3.2 feet 
Low shrubs.—Normally shorter than 
1.6 to 3.2 feet. (Woody perennial 
vines, such as grape, were included 


with low shrubs.) 


Shrub and tree seedling biomass 
The total aboveground weight of trees 
less than 1.0 inch in diameter and all 


shrubs. 


Site index 

An expression of forest site quality based 
on the height of a free-growing dominant 
or codominant tree of a representative 


species in the forest type at age 50. 


Soft hardwoods 

Hardwood species with an average 
specific gravity less than 0.50, such as 
cottonwood, red maple, basswood, and 


willow. 


Softwoods 
Coniferous trees, usually evergreen, 


having needles or scale-like leaves. 


Stand 
A group of trees on a minimum of 1] acre 
of forest land that is stocked by forest 


trees of any size. 


Stand-age class 
A classification based on age of the main 
stand. Main stand refers to trees of the 


dominant forest type and stand-size class. 


Stand-size class 

A classification of stocked (see Stocking) 
forest land based on the size class of live 
trees on the area; that is, sawtimber, 


poletimber, or seedlings and saplings. 


Sawtimber stands. —Stands with half or 
more of live tree stocking in sawtim- 
ber or poletimber trees, and with 
sawtimber stocking at least equal to 
poletimber stocking. 

Poletimber stands —Stands with half or 
more of live tree stocking in 
poletimber and/or sawtimber trees, 
and with poletimber stocking 
exceeding that of sawtimber. 

Sapling-seedling stands —Stands with 
more than half of the live tree 


stocking in saplings and/or seedlings. 


State land 
Land owned by the State of North or 
South Dakota or leased to it for 50 years 


or mote. 


Stocking 

The degree of occupancy of land by all live 
trees, measured by basal area and/or the 
number of trees in a stand by size or age 
and spacing, compared to the basal area 
and/or number of trees required to fully 
use the growth potential of the land; that 
is, the stocking standard. A stocking 
percent of 100 indicates full use of the site 
and is equivalent to 80 square feet of basal 
area per acre in trees 5.0 inches d.b.h. and 
larger. In a stand of trees less than 5 inches 
d.b.h., a stocking percent of 100 would 
indicate that the present number of trees is 
sufficient to produce 80 square feet of 
basal area per acre when the trees reach 5 


inches d.b.h. 


Stands are grouped into the following 
stocking classes: 

Overstocked stands.—Stands in which 
stocking of live trees is 100 percent or 
more. 

Fully stocked stands —Stands in which 
stocking of live trees is from 60 to 100 
percent. 

Medium stocked stands. —Stands in 
which stocking of live trees is from 35 
to 60 percent. 

Poorly stocked stands. —Stands in which 
stocking of live trees is from 10 to 35 
percent. 

Nonstocked areas —Timberland on 
which stocking of live trees is less 


than 10 percent. 


Timber products output 

All timber products cut from roundwood 
and byproducts of wood manufacturing 
plants. Roundwood products include logs, 
bolts, or other round sections cut from 
growing-stock trees, cull trees, salvable 
dead trees, trees on nonforest land, 


noncommercial species, sapling-size trees, 


and limbwood. Byproducts from primary 
manufacturing plants include slabs, 
edging, trimmings, miscuts, sawdust, 
shavings, veneer cores and clippings, and 
screenings of pulpmills that are used as 


pulpwood chips or other products. 


Timberland 

Forest land that is producing, or is 
capable of producing, more than 20 cubic 
feet per acre per year of industrial wood 
crops under natural conditions, that is not 
withdrawn from timber use, and that is 
not associated with urban or rural 
development. Currently inaccessible and 
inoperable areas are included. (Timber- 
land was formerly called commercial 


forest land.) 


Tree 

A woody plant usually having one or 
more erect perennial stems, a stem 
diameter at breast height of at least 3 
inches, a more or less definitely formed 
crown of foliage, and a height of at least 


13 feet at maturity. 


Tree biomass 

The total aboveground weight (including 
the bark but excluding the foliage) of all 
trees from | to 5 inches in d.b.h., and the 
total aboveground weight (including the 
bark but excluding the foliage) from a 1- 
foot stump for trees more than 5 inches in 


diameter. 


Tree grade 

A classification of the lower 16 feet of the 
bole of standing trees based on external 
characteristics as indicators of the quality 
and quantity of lumber that could be 
produced from the tree. Tree grade was 


assigned to a sample of hardwood 


sawtimber trees during the 1994 inven- 
tory. Also see Log grade. (See appendix for 


specific grading factors used.) 


Tree size class 

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


seedlings. 


Upper stem portion 

That part of the bole of sawtimber trees 
above the saw log top to a minimum top 
diameter of 4.0 inches d.o.b. or to the 
point where the central stem breaks into 


limbs. 


Urban and other areas 

Areas within the legal boundaries of cities 
and towns; suburban areas developed for 
residential, industrial, or recreational 
purposes; school yards; cemeteries; roads; 


railroads; airports; beaches; powerlines 


32 


and other rights-of-way; or other nonforest 
land not included in any other specified 


land-use class. 


Urban forest land 

Land that would otherwise meet the 
criteria for timberland, but that is in an 
urban-suburban area surrounded by 
commercial, industrial, or residential 
development and not likely to be managed 
for the production of industrial wood 
products on a continuing basis. Wood 
removed would be for land clearing, 
fuelwood, or esthetic purposes. Such forest 
land may be associated with industrial, 
commercial, residential subdivision, 
industrial parks, golf course perimeters, 
airport buffer strips, and public urban 


parks that qualify as forest land. 


Water 
(a) Bureau of the Census.—Perma- 


nent inland water surfaces, such as lakes, 


reservoirs, and ponds at least 40 acres in 
area; and streams, sloughs, estuaries, and 
canals at least one-eighth of a statute 
mile wide. 

(b) Noncensus.—Permanent inland 
water surfaces, such as lakes, reservoirs, 
and ponds from 1 to 39.9 acres in area: 
and streams, sloughs, estuaries, and 
canals from 120 feet to one-eighth of a 


statute mile wide. 


Wooded pasture 

Improved pasture with more than 10 
percent stocking in live trees, but less 
than 25 percent stocking in growing- 
stock trees. Area is currently improved 
for grazing or there is other evidence of 


grazing. 


Wooded strip 

An acre or more of natural continuous 
forest land that would otherwise meet 

survey standards for timberland except 


that it is less than 120 feet wide. 


LITERATURE CITED 


Belcher, D.W,; Holdaway, M.R.; Brand, 
GJ. 1982. A description of STEMS the 
stand and tree evaluation and modeling 
system. Gen. Tech. Rep. NC-79. St. 
Paul, MN: U.S. Department of Agricul- 
ture, Forest Service, North Central 


Forest Experiment Station. 18 p. 


Cochran, WG. 1977. Sampling tech- 
niques. New York, NY: John Wiley & 
Sons, Inc. 413 p. 


Hahn, J.T.; Hansen, M.H. 1984. Cubic 
and board foot volume models for the 
Central States. Northern Journal of 
Applied Forestry. 8(2): 47-57. 


Hanks, L.F 1976. Hardwood tree grades 
for factory lumber. Res. Paper NE-333. 
Broomall, PA: U.S. Department of 
Agriculture, Forest Service. Northeast- 


ern Forest Experiment Station. 81 p. 


Hansen, M.H. 1990. A comprehensive 
sampling system for forest inventory 
based on an individual tree growth 
model. St. Paul, MN: University of 
Minnesota, College of Natural Re- 


sources. 256 p. Ph.D. dissertation. 


Haugen, David E.; Piva, Ronald J.; 
Kingsley, Neal P; Harsel, Robert A. 
1999. North Dakota’ forest resources, 
1994. Res. Pap. NC-336. St. Paul, MN: 


U.S. Depatment of Agriculture, Forest 


Service, North Central Research Station. 


LOL. p: 


Little, E.L. 1981. Checklist of native and 
naturalized trees of the United States. 
Agric. Handb. 541. Washington, DC: 
U.S. Department of Agriculture, Forest 


Service. 385 p. 


Loetsch, F; Haller, K.E. 1964. Forest 
inventory, volume 1, Statistics of forest 
inventory and information from aerial 


photographs. Vienna: BLV 


Verlagsgesellschaft Munch Basle. 436 p. 


Rast, E.D.; Sonderman, D.L.; Gammon, 
G.L. 1973. A guide to hardwood log 
grading. Gen. Tech. Rep. NE-1. Upper 
Darby, PA: U.S. Department of Agricul- 


ture, Forest Service, Northeastern Forest 


Experiment Station. 31 p. 


Smith, WB. 1983. Adjusting the STEMS 


regional growth models to improve 
local predictions. Res. Note NC-297. St. 
Paul, MN: U.S. Department of Agricul- 
ture, Forest Service, North Central 


Forest Experiment Station. 5 p. 


U.S. Department of Agriculture, Soil 


Conservation Service. 1991. Instruc- 
tions for collecting 1992 National 
Resources Inventory sample data. 
Washington, DC: U.S. Department of 
Agriculture, Soil Conservation Service. 
69 p. 


Van Deusen, PC.:; Dell, T.R.; Thomas, C.E. 


1986. Volume growth estimation from 
permanent horizontal points. Forest 
Science. 32: 415-422. 


Wiant, H.V, Jr.; Castenaeda, F 1977. 


Mesavage and Girard’s volume tables 
formulated. BLM4. Denver, CO: U.S. 
Department of the Interior, Bureau of 
Land Management, Denver Service 
Center: 1-4. 


TABLE TITLES 


Table 1.—Area of land by major land-use 
class, North and South Dakota, BIA lands, 
1994 and 1996 


Table 2.—Area of timberland by forest 
type group/local type and stand-size class, 
North Dakota BIA, 1994 


Table 2a.—Area of timberland by forest 
type group/local type and stand-size class, 
South Dakota BIA, 1996 


Table 3.—Area of timberland by Forest 
Survey Unit and potential productivity 
class, North and South Dakota BIA, 1994 
and 1996 


Table 4.—Area of timberland by stocking 
class of growing-stock trees, North and 
South Dakota BIA, 1994 and 1996 


Table 5—Number of all live trees on 
timberland by species group and diameter 
class, North Dakota BIA, 1994 


Table 5a—Number of all live trees on 
timberland by species group and diameter 
class, South Dakota BIA, 1996 


Table 6.—Net volume of growing stock on 
timberland by species group and diameter 
class, North Dakota BIA, 1994 


Table 6a.—Net volume of growing stock 
on timberland by species group and 


diameter class, South Dakota BIA, 1996 


Table 7.—Net volume of growing stock 
and sawtimber on timberland by major 
species group, North and South Dakota 


BIA, 1994 and 1996 


Table 8.—Net volume of growing stock on 
timberland by species group and local 
forest type, North Dakota BIA, 1994 


Table 8a.—Net volume of growing stock 
on timberland by species group and local 
forest type, South Dakota BIA, 1996 


Table 9.—Net volume of sawtimber on 
timberland by species group and diameter 
class, North Dakota BIA, 1994 


Table 9a.—Net volume of sawtimber on 
timberland by species group and diameter 
class, South Dakota BIA, 1996 


Table 10.—Net volume of sawtimber on 
timberland by species group and grade, 
North Dakota BIA, 1994 


Table 10a.—Net volume of sawtimber on 
timberland by species group and grade, 
South Dakota BIA, 1996 


Table 11.—Average annual net growth of 
growing stock and sawtimber on timber- 
land by Forest Survey Unit and major 
species group, North and South Dakota 
BIA, 1980-1993 


Table 12.—Average annual removals of 
growing stock and sawtimber on timber- 
land by Forest Survey Unit and major 
species group, North and South Dakota 
BIA, 1980-1993 


Table 13.—Average annual net growth 
and average annual removals of growing 
stock and sawtimber on timberland by 
species group, North Dakota BIA, 1980- 
1993 


Table 13a—Average annual net growth 
and average annual removals of growing 
stock and sawtimber on timberland by 
species group, South Dakota BIA, 1980- 
1993 


Table 14.—Average annual mortality of 
growing stock and sawtimber on timber- 
land by species group, North Dakota BIA, 
1980-1993 


Table 14a—Average annual mortality of 
growing stock and sawtimber on timber- 
land by species group, South Dakota BIA, 
1980-1993 


Table 15.—Average annual net growth and 
average annual removals of growing stock 
and sawtimber on timberland by forest type 
group/local type and major species group, 
North Dakota BIA, 1980-1993 


Table 15a.—Average annual net growth 
and average annual removals of growing 
stock and sawtimber on timberland by 
forest type group/local type and major 
species group, South Dakota BIA, 1980- 
1993 


Table 16.—All live aboveground tree 
biomass on timberland by major species 
group, and tree biomass component, North 


and South Dakota BIA, 1994 and 1996 


Table 17.—Sampling errors for Forest 
Survey Unit totals for area of timberland, 
volume, average annual net growth, and 
average annual removals on timberland, 
North and South Dakota BIA, 1994 and 
1996 


TABLES 


35 


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682-0 Le 602-061 6'8L-0°Z1 6 91-0'S1 6 VL-O'EL 6cL-O LL 6 01-0'6 6'8-0'2 6'9-0'S 6 b-0'€ 62-0 S9eSse|9 |IV dnouBb saisads 


(jyBiey yseeiq ye Sayou!) ssejo Ja}OWeIG 


(sead] puesnou} u}) 


P66L ‘VIG BIOYeG YUON ‘ssejo Jajawelp pue dnoJb saisads Aq puejequil] UO S8al} AAl| |/B JO JA@QWNN--"s a\qe 


4 
op 


JEPJEXOQ S$! BWIN/OA 490}S-BulMoB poompsey JEYjO |/\7_, 


GLL'? clo 68S'c 691 '9 ve9ol 096'9 €6c'8 6EL'8 ZLL'6 yess 69°29 salsads j7 

GLL?* 879? Zék CoS S BSS'E ELL? Legs €6E'S 680'S ZIV'e 02882 SPOOMpJeyY |E}O | 

-- -- -- -- -- =- LLL gL LZe 661 6r9 , SPOOMpPJeY 19Y}O 

-- -- = a ee = = a = L6 16 Aueyo yoeg 

-- -- = -- = - ce - OS - ol Aueqyoey 

= Sa a se == vit OOL ce = 09 vLé MOI! 

900°2 900°2 = 900°2 €86'2 9SZ'L OVE’ lL =e 680°2 259 1 Evs'Sl poomuoyog 

ZLL ZLL Se Hin c8e LL? 9S1 €SS G99 VEL cS9'% yse Ueeld 

ss = Ss = 2s OLE 8SE c6 €ES gL 6er'l wW|> 

S9E S9E = G9 OLL ZOL SS6 L6P 6c1 LOL €S0'€ poomsseq 

282 O9L Ze ve ZLL SSI €8S 6E7 | Z0€' | vel 208‘ yeo ing 
spoompeH 

ca 796'L cove Lv9'€e 990‘ Lvov Z99'V 9rve'9 €c20'V LO0v'e ve8'ce SPOOM}JOS |e}0 | 

-- -- -- ~ = - -- - -- ez ez SPOOMIJOS 18YIO 

25 y96'1 cove LV9'S 990'v Lvov c99'r 9ve'9 €c0'r v8? LOg‘ee auld esosepuod 

spoomyo 


682-0 le 6°0¢-0'61 681-021 6'9L-0'SI 6VL-O'EL 6CL-O' LL 6 0L-0'6 68-0°2 6'9-0'S S9Sse|d |IV dnoub saiseds 


(jyBiey yseaiq ye Sauou!) ssejo sajaWeIG 


(Jaa, DIGND puesnoy} u) 


966L ‘VIG B1loy¥eG YINOS ‘ssejo sajoweIp pue dnoib saiseds Aq puejyequil] UO yOoO}Ss Hulmosb JO BWINJOA JaN--"eg a\Ge | 


‘JEP|AXOg S! AWIN|OA ¥90}S-BulmosB poompsey JAYJO II, 


= Bre 8zl = 26 erl't Shr 8E7'S 789'r G2e'r LLO'LZ sajseds |I¥ 

=e Sve 8zl 5 26r SrZ't esky 8Ee's r389'r G2e'v LLO‘L? spoompiey [e101 

cc = -- -- -- vel ZZh -- ZOL 6L rang f SPIT NN HAL ENO) 

Bs = = = 89 ely SvS‘2 vz0'e LL6‘2 E19'% vZs'bh uadse Buryend 

= = = = LSL LLY 1S9 Lv6 EL 862 LLL‘€ sejdod wesjeg 

= = = = = 61 = ZZ ost 69€ 286 yse Use! 

= Bre = = = = ss = = 6E2 8S wiz 

= = = = 9h . = = = Ee 9 poomsseg 

= z 8zl zs Olt 9ze Ses £66 ELL £29 26L'E yeo ing 
spoompJeyH 


6'82-0'1Z 6'02-0'61 6'SL-0'Z1 6'91-0'SL 6'Vl-O'EL 6'ZL-O' LL 6'9-0'S SOSSP|9 |IV dnoib saiseds 


(WyBiay yseeiq ye Sayoul) ssejo 1aj}aWeIG 


(108) DINO Puesnoy} uj) 


P66L ‘VIG BlOYeG YON ‘ssejo sajawelp pue dnos6 saiseds Aq pueyaquul] uo y¥90}s Huimo6 Jo AWNIOA JAaN--"9 B|GeL 


‘Q/NI YOUI-p/, [BUONPUJA}U] 
imma 


LLO'6L €06'601 = 8v0'SEL c9S' 92 1230} Vig 


1 a a 


8L6cl 82S'98 ae 8v0'SEL v6r' ve? Vid Bj0xeq YINOS 


€69'9 GLEE? Ss = 890'0€ Vig e}oNeG ULON 
(12a) pueog puesnoU} uj) 


L 


spoompieu spoompiey SPpOOMYOS auld saldeds ||V yun Aeains jse104 
PpjeH WHOS A9UIO 
dnoub saiseds soley 
JaquiljMes 
Ea ck 8r9'ZE €¢ LOg'ce SOZ‘E8 12319} Vid 
6Sr'Z LLv'L2 €?e LO8'€€ 69°29 Vid e}0oxeq YyINOS 
vLl'v LE? OL = = LLO'L? vig ejoyeG YON 
(18a) DIGNd puesnou} uj) 


spoompiey spoompiey SPOOMYOS adUld saldeds ||V yun Aeains ysa104 
pieH yos 49410 


dnoub saiseds soley 
yoo}s Hulmoisy 


9661 PUR PEEL ‘VIG BIOYeG YINOS pue yLON ‘dnoib saiseds sofew 


Aq puepaquil] uo Jaquijmes puke YyOoO}S Bulmosbh JO BWNIOA JAN--'Z a\GeL 


43 


JEPJ@XO S} BWNJ|OA POOMpPJeY JEYjJO ||7 


eee nnneeeeeeeeeEeeennTEET UIE 


= 6LL'SL z L€6 = S687 = = LLO'L2 salseds |IV 
= 6LL'SL a 16 = S68'P = = LLO'Le SpooMmpsey }e}0 | 
SS EE | Se eS ee ae ee a a aa ee cbr se ae = = Aan , SPOOMPIeY JOYIO 
= Orr tt = a = ver = Es yZ8' th uedse Bupjend 
= 60L'2 = = = Ov = = LLL re\dod wesjeg 
= 69 = Ott - L6v = = 86 yse Ueel5 
= 802 = 6ZE = = = = 28S wi 
= x = = = €91 = = 91 poomsseg 
= Sp = = = 6EE'e = a Z6L'€ yeo ing 
spoompieH 


yse-wiy Ppoomuo}jo9 poomuo}jo9 yeo ing Jodiun[ euid dnoib saiseds 
-yse-wiy ulejunoW esolapuod 
Ayooy 


adAj }Sa10} [e907 


(Jaa, DIGNO puesnoy} uj) 


P6G6L ‘vig eloyeg YON ‘edA} Jsas0J je00; Ue dno/B saloads Aq puepyaquul] UO yI0}S Bulmosb JO BWINJOA JaN--"8 8\GeL 


JEPlaxOg SI BWNJOA poompsey JeyjO ||, 


90L' Lt 909'€ 969'1 ELE LE9'L €SS'6 8L9 GOS‘Zz 769'29 saideds |v 

90r' lt 909°E 969'L Ele LE9'L QZ6'€ ae 9ez 028'82 spoompiey je}O | 

€0S LLL GE = = = = = 679 SE OE ee) 

- = L6 = = = = zz 16 Auayo yor|g 

OS = = = = ce ae = ol AusaqyoeH 

- = = ble = 2 = vl2 MO|IIM 

eco L == LZL‘L == 66r'Z = = == €vs'St poomuoyoD 

286 ely 00r = BEL GPs = 601 cS9'S yse UsaI5H 

Ges EL vl 6€ = 89€ - = 6cr |b wIS 

Soe Src = = se = = x €S0'€ poomsseg 

€0S'1 LOL Ge = == LvO'e == IRA L08't yeo ing 
spoompiey 

o0€ = = = = LLS‘S 829 69222 ve8'ee SPOOMYOS |e}O | 

- - - -- -- - ral 6 €c SPOOMYOS JEYIO 

00€ = = a = LLS'S 799 09¢'22 Log‘ee auld eSOJBpUudd 
spoo Oo 


yse-w|5 poomsseg poomuo}j09 MOJIIAA poomuo}y09 yeo ing Jodiunf{ ould dnoib saisads 
-yse-wy uleyuno| eSoJapuod 


Ayo0y 


ad} }Ssa10j [e907 


(Jaa DIGND PuesNnou} u]) 


9661 ‘Vig B1loyeg YINOS ‘edf} }sa/OJ je90/ Due dnoJB sajaeds Aq puejyiaquuil} UO yOo}s Hulmosb JO AWNIJOA JEN--"eg sIGeL 


“UOP/AXO SI BUINJOA POOMpIeY JBYJO || ~ 
‘O(N YOUI-p/| [BUONCUJAJU] 


LoL 'ov vr6'9€ OO€'eL 7c6 £2 Zee 9c 800'22 €09°SE 79762 v6r' VE? saisads IV 

Lebov €8S'92 vLS 8k G vOL'S L709 Loeb Pe 9bv 66 spoompley Je}OL 

-- -- -- -- -- -- GSP -- SGGr 2 SPOOMPIeY J9YIO 

a G8v 3 fe = = = = S8v Aisayo yor|g 

= = z zB = = 66 5 66 AuaqyoeH 

Z = = = = Lev eSE = vll MOH 

62's 8rr'Se = 298 | vel’? 6SS'L VEL = 9S6'0L Ppoomuo}oD 

= ZLE = €6S GLE'L 686 069 5 2S6°€ Yyse U9eal£) 

ce ss = = 55 6r9'L ELG'L es ZOLe wig 

- - = QLS‘2 vis Ord 29¢'9 = 26S'01 poomsseg 

cZB€ eee vLS LSI L6Z 069 oss'2 =a L96°8 eo Ing 
spoompJeH 

rs LOE‘OL 9eL'cl OvZ'8t 829'02 296'02 C9E ce 79%'6¢ 870'SEL SPOOMYOS |E}O | 

= LOE OL 92L'cl OrZ'8t 82902 296'02 Z9E ‘CS 9762 8v0'SEL auld esoJapuod 


SPOOMYOS 


6'8L-0' ZL 691-0'SL 6VL-O'EL 6 cL-O' LE 601-06 SOSSB/9 |IV dnoib sajseds 


(WyBiey yseaiq ye Seoul) ssejo 1a}OWeIG 


6'82-0'l¢ 6'0¢c-0'61 


, (Jaa, pseog Puesnoy] uj) 


9661 ‘vig B10¥eq YINOS ‘ssejO JaJaWeIp pue dnoib saizads Aq pueLJEquil] UO JOQUIIJMES JO BLUNIOA JAaN--"e6 9\GeL 


JOP/@XO S} BUINJOA POOMpILY J9YJO ||, 


‘9/M YOUI-p/}, JEUOHeUWAIU] 


= QIZ'L eT) = LEE‘? G82 GeS‘Z1 890'0€ saldads |IV 

= QLZ'L G19 = LEE‘? GZ8'L GZS‘ Zh 890'0€ spoompiey |2}0 | 

= 2 = = = 96S esr 6L0't DST DANO 

-- -- S = Oce 9l2'€ 6r8'0L Svr'vl uedse Burjend 

-- -- = cf vil Sre'h 88Z'Z Lye's sejdod wesjeg 

-- -- -- = “ GLZ = GtZ yse Uses 

ct QLZ'L = = = s = QLZ't wiz 

= =e = = 88Z -- -- 8gZ poomsseqg 

& = SI9 = SIS err t GOvr‘e 826'S yeo ing 
spoompJey 


682-0 Le 6'0¢-0'61 681-0 ZI 6'91-0'SL 6VlL-O'EL 6 cL-O LL S9Sse[9 |IV dnoib saiseds 


(jyBHiay yseaiq ye SaYydul) SSsejd Ja}OWeIG 


, (128) pleog puesnoy} uj) 


P66 ‘VIG B10%eq YLION ‘ssejo Jajawelp pue dnoib saivads Aq puepaquil] UO JOQUIJMES JO BUINJOA JAN--"6 PIGeL 


‘JAP|exOg S] BINJOA poompsey 4JAYjO IV; 
‘QJM YOUI-p/f [BUOHeUsa}U] 


Sera 206 cl Gere v0S'2 890'0€ saideds IV 

Leacl 206 cl Gove vOS'2 890'0€ SpOOMpJeY |e}OL 

6L0'L = x es 6/0'1 , SPOOMPJeY JBYIO 

9s9‘e 601 ‘OL 089 -- Spry uadse Buryend 

GE6c OLL't 962¢ | == LVE'S se\dod wesjeg 

ae Gr == -- GLZ use Use’) 

= = -- QLL'L QIL'L wi 

= - -- gel gel poomsseg 

L9G‘ c96 6VV ie 86'S yeo Ing 
spoompleyH 


JOQUII} dnoib6 saiseds 


8 oll 


te 


apeib 9011 


, (12a) pueog puesnoy} uj) 


r66l ‘Vig B10O4eq YON 


‘gpei6 pue dnoib seloads Aq pueyequil] UO Jaques JO BUIN/OA JON--"Ol SIGE L 


46 


7 


JEP|EXO S| BWINJOA poompsey JBYjJO IV. 
‘O/N YOUI-p/|. [EUOHCUJO}U] , 


269'6 c6c 8S1 800 cc gle vv v6v ve? saldeds ||V 

2696 Srl '6e EvZ'9l 8S8'Er 9vr'66 Spoompiey |e}O] 

SGP ca = oe GG 2 SPOOMPIeY JOUIO 

oe S8r oe = S8V Auiayo yorlq 

=: 66 ae zs 66 Auaqyoey 

Lov ese 25 rs vLL MO|IIM 

682'€ ZOL'SL ov 8 8S8 EV 95602 POOMUO}NOD 

QLZ'L Lrl'é = es LS6'€ YSe UBdIE) 

= OL € ss 26 ZOLe wu|5 

ie ce8 9 GOL'E ES 26S OL poomsseq 

9IBE 60€ 9E8r i 1968 yeo ing 
SpoompieH 


JOQuII} dnouib saiseds 


8 3 
apeib sai 


(ED 


oe vv 6cl G8rS BLL 8v0 SEL SPOOMYOS |e}O | 
a vv l'6cl S8r's SLY 80 SEL auld esosapuod 
SPOOMYOS 


rd dnoib saiseds 


apeib 607 


(JaaJ Pseog Puesnou} uj) 


1 


9661 ‘VIG B]oyeq YINOS 


‘apei6 pue dnoib saivads Aq puepaquil] UO JAQUIIJMES JO BWINJOA JON--"eOL BIGeL 


‘ Q/NI YOUI-p/] JBUONCUIA}U] , 
meee e eee errr rere eK 


vO9 S06 € GLES 288°€ 1210} Vid 


10) 9GS¢ € GLE? LEO'E spue| Vid B}oxeq YINOS 


LO? 69 = zs 0S8 spue| VIG 2]}04eq YON 

, (leaf ps00q puvsnoy} Uy) 
spoompiey spoompieu Sspoomyos auld saldads ||V yiupm Aaains ysei04 
pieH yWOoS 49410 


dnoib saiseds sofey 
JaQuiIyMes 


vV6E 969 Ol 6SS 6S9 | 1230} Vid 
8S¢ 8rl Ol 6SS GL6 spue| Vid Boxed YINOS 


9EL 8rS 2 = vs9 spue| Vig 2}04eq YON 
(laaf anqno puvsnoy} uy) 


spoompiey spoompiey Spoomyos Ould saldeds iV yup Aeains ysa104 
pieH yW0S 42410 


dno.6 saiseds soley 


eee ee eee ee en ee 


yoo}s Hulmol5 


S66L-O86L ‘vig e]oyeg YyInos pue YON ‘dnoJ6 saiseds Jofew pue yup A@AINS JSe/04 


Aq pueyiaquil] uo sequijmes pue y90}s Buimos6 Jo yymosb Jeu jenuue abelaAV--" | | BIGeL 


48 


Old YUUI-G/f JEULHEUIEJU] | 


vS 861 4 Z 9S¢ 1€}0} Vid 


vS 861 v ae 9G¢ spue| Vig B}oxeq YynoS 


2 ‘ i 5 = spue| Vig eloyeq YON 
, (Jaa, pseog puesnoy] uj) 


spoompiey spoompieu Spoomyos auld salads |iVv yup Aaains jsai04 
pseH 0S 19410 
dnoib saiseds soley; 


JaquUIyMes 


9S L8 L G evl 1210} Vid 

6€ vv L G 68 spue| Vig ejoyeq YyInoS 

Ly Ze 55 =< vS spue| Vig ejoyeq YON 
(J9QJ DIGND puesnoU] uj) 


spoompiey spoompuey Spoomyos auld saiseds |v yun Asains jse104 
PpjeH WOS 49410 


dnoub saiseds soley; 
yoo0}s Bulmoi5 


€66L-086L ‘VIG B10¥eGq YINOS pue YON ‘dnoib saiveds sofew pue 
yun Aeaing jses04 Aq pueyaquil] uo Jaquijmes pue YOo}s Bulmos6 Jo sjeaoweas /enuue ebesany--'Z| ajqeL 


49 


s|eAows. 
jenuue sbeisay 


‘JEPJ@XO SI BWNI|OA POOMPIEY 4JEUYJO IV z 
‘Q/M YOUI-p/| [BUOEUJEIU] , 


i saldeds lI 
saivads ||V 


oe 0S8 vS v89 
se 0S8 vS v89 spoompiey |ej}O | 
ee ae Be a eee oe Lp = 61 , SPOOMpJeY 184IO 
Oe ges ZS SV uedse Bulyeno 
a ele == vl Jejdod wesjeg 
BS 9 Zt c¢ yse usal5 
aa €0¢c- a G- wy 
< 3 oF = poomsseg 
Ze S6l ae L8 yeo ing 
spoompJeH 
, (1904 pseog puesnoy} Uj) (Jaa) 21GNO puesnoU} uj) 


4yyMob jou s|PAOWSI yymoib jou dnoib saiseds 
jenuue sbeisAy jenuue obeisvy jenuue obeiaay 


i El 


JOQUIITMeS yoo}s Huimois5 


€661-0861 ‘vig BIoYeG YON ‘dnoJb sajveds Aq puejiequil} UO 
Jaquiymes pue yoo}s Bulmolb Jo sjeAowas jenuue abeane pue yymolb jau jenuue ebeleay--"E} 3|GeL 


90 


‘JOP|EXOG SI BWINJOA pOOMpsey JEYJO || z 
‘QIN YOUI-p/] JEUOHEUE]U] 


92 LE0'E 68 GZ6 sa1dads |IV 
PASTA 699 €8 907 SspoompJey |ejO]L 
Sv Sv LL € 2 SPOOMpIeY JEUIO 
ca = > L Aisayo yorg 
== v == v Aueqyoey 
= LY -- Zt MO|IIM 
= ElL- = OS poomuo}oD 
vv 96¢ LG LOL yse U9eI5 
Bel Sis 0€ G Ww|5 
Si 062 € 89 poomsseg 
OL ZOL c ZSl yeo ing 
spoompieH 
v SLE? 9 69S SPOOMIJOS |e}0 | 
v € L OL SPOOMYOS JOUIO 
= GLE? G 6SS ould esojapuod 
SPOOMYOS 
, (209 pseog puesnouy} Uj) (12a) 21nd puesnoy} Uj) 


sjeAOWDI yymoib jou S|PAOUWDI yymob jou dnouib saiseds 
jenuue aobeisAy jenuue aebelisay jenuue obelisvay jenuue abeisAy 


JOQUIIMeS yoo}s Buimoly 


C661-0861 ‘vig eB10%eq YINos ‘dnoJ6 saiseds Aq pueyaquul] uo 


Jaquiiymes pue y20}s Buimos6 Jo sjeaowas jenuue ebesenre pue Yyymosb Jou jenuue abelaAy--"eS | ajGeL 


‘JOPJ@XO S$] BLINJOA poompsey JAYIO |IV z 
‘Q/NJ YOUI-p/| [EUOHEUA}U] , 


ee — eaiqade lly 
salsads |iV 


bol LLV 
vl 9 , SPOOMPIeY J8UIO 
€8e Lieé uadse BuryenD 
ZOl ZL Jejdod wesjeg 
C yse Usdl5) 
Lie 6V Ww 
a = poomsseg 
= yeo ing 


, (19a) pseog puesnouy} U}) (jae) 2IGno puesnoy] uj) 
Ayyeyow jenuue sbeisae Ayyeyow jenuue abeseae dno.6b saiseds 


JOQuwIyMes yoo}s Huimoi5 


€661-086L ‘Vig B10¥eG YON ‘dnoJ6 salzads Aq pueyaquil! UO 
yaquijmes pue y00}s buimos6 jo Ayjeyow yenuue abelaAV--"vl 9IGeL 


‘JEP/@XOQ SI BWINJOA pOOMpseY JOJO || z 


‘QIN YOUI-p/| [EUONCUJOJU] , 
_——— sss EEE aa 


LeL'2 6rZ saiseds | IV 
962 GvS spoompley |ej0 | 
a a a ee 9z 2 SPOOMpseY JBYIO 
| L AiaqyoeH 
€?e le MO|IIM 
vSc 00€ poomuoyoy 
OS cS yse uaas5 
96¢ 66 wWjF 
LEE LV poomsseg 
eS Lh yeo ing 
SpoompeH 
Sc6 vO? SPOOMYOS |e}]O] 
Gc6 b0zd auld eSOJapUuod 
SpOOMYOS 


, (Jaa) pseog pueSNOY] Uj) (Jaa 2IGND puesnoY} Uj) 
Ayyjeyow jenuue ebesane Ayjeyow jenuue obesane dnoi6 saiseds 


Jaquiijmes yo0}s Bulmoiy 


€661-086L ‘vig BI0y¥eq YINOg ‘dnoJ6 saisads Aq puelaquil] uO 
Jaquijmes pue 490}s Buimoi6 jo Ayjeuow jenuue ebesery--"ey| ajqel 


‘Q/NJ YOUI-p/| [PUONPUJA}U] 


z a ae = - LOZ 69 sad} S210} [IV 
2 es = 2 = fs Zh b- s a ZL be (EIOL 
= = = = = = obs = == ZL L- yse-w|3 


\SNdo|-usSe-W}y 


CO 
= oh a ve re ne €€8 aa =% €88 jB]O] 
cE =" ae a o = €€8 = =o €€8 ydsiq-uedsy 
yolig-uedsy 
as = = == = 102 ol = 2 6ck JE}OL 
= = - = = LOZ ol: 2 =a 621 eo ing 
Aoyo14-42O 
(Jaaj pseog puesnou} Uj) , (19a pseog puesnoy} uj) 


spoompiey spoompiey spoomj}jos so1oeds spoompiey spoompiey spoomjyjos saioeds adAy je90} 
pieH yos 4910 Th pseH yoS 19410 Th /dnosb adj yse104 


i S 


dno.b saiseds sole dnoi6b saiseds soley 


ee SS 


Jaquiiymes jo sjeAowa, jenuue ebessay Jaquiiymes jo yymoilb you jenuue ebesaAy 


Lt Ze vS sadA} 3Sa10} |IV 
= = -- OL Ol- © = 9 Jey} 


= = = = = 91 Ol = = 9 yse-w)3 
snooj-yse-w|y 


a 
ZL ZE a ae vS Lv LSS ne = c6S [E}OL 
Zt ZE i 25 vS Lv LSS = = c6S youlg-uedsy 
yosig-uedsy 
62 Jb Ee =a 98 JE}OL 
== = = S = 62 Z = == 98 yeo ing 
M1oy91Y-42O 


spoompiey spoompiey spoomjjos soiseds spoompiey spoompiey spoomyjos sai9eds ad} je90| 
pseH yos 40u10 Td pseH yos 4910 Th /dnoaB adj ysa1035 


Se 


dnoi6é saiseds soley dnoi6é saiseds soley 


8 | SS 


yoo}s BulmoJb jo sjeaowa, jenuue ebesay yoo}s Buimosb jo yymosb jou jenuue ebony 


£661-0861 ‘vig B1I0¥eG YON ‘dnolb salgads sofew pue ad} jeo0j/dnos6 adh} jsasoj Aq 


pueaquil] UO Jaquuymes pue yI0}s Hujmob Jo sjeAowas /eNuUUe abeane pue yymolb jau jenuue abelary--'S} a|qel 


‘a/nd YOUI-p/L JBUONeCUJAJU]  , 


vS 861 v = 9S2 0) 4 9S2 € GLE? ZE0'€ sad} }sas0) IV 
vS Sk = a 69 cle 66S- a 09 Lée- Je10). 
”S Si = = 69 FG == CSCS ge seen r= fee ee CO EOE Y/ cor” Oma yse-wig 
}SNOOj-Yse-WI|y 
= = = = > Qt. fo ee ic elo 
yoig-yoaseq-ajdey\ 
= €8 a ea €8 JE vv9 = = LE9 fe}, 
- 81 - = 81 7 ee | ee ne = en ee ee POOMUO}}O9-Yse-WW|R 
-- -- = = = a Lv = = Lv MOI 
- - -- - -- -- v6r - -- v6r poomuoyog 
POOMUO}j090-Yse-W]4A 
-- - = = = 28 L = gle Lov Je}OL 
= - os = = 28 L = BLE Lov eo ing 
Mox914-4eO 
= = v = v = ra € eSh ZS1 fE}O] 
- - v a v - Z € rac ZL Jediunf ureyunoy Ay90Y 
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6 


The U.S. Department of Agriculture (USDA) prohibits 
discrimination in all its programs and activities on the 
basis of race, color, national origin, gender, religion, age, 
disability, political beliefs, sexual orientation, and marital 
or family status. (Not all prohibited bases apply to all 
programs.) Persons with disabilities who require 
alternative means for communication of program 
information (Braille, large print, audiotape, etc.) should 
contact USDA's TARGET Center at (202) 720-2600 (voice 
and TDD). 


To file a complaint of discrimination, write USDA, 
Director, Office of Civil Rights, Room 326-W, Whitten 
Building, 14th and Independence Avenue, SW, 
Washington, DC 20250-9410, or call (202) 720-5964 
(voice or TDD). USDA is an equal opportunity provider 
and employer. 


ae Printed on recyclable paper 


MISSION STATEMENT 
SE a SS rae TS | 
We believe the good life has its roots in clean air, sparkling water, rich soil, 
healthy economies and a diverse living landscape. Maintaining the good 

life for generations to come begins with everyday choices about natural 
resources. The North Central Research Station provides the knowledge 
and the tools to help people make informed choices. That's how the 
science we do enhances the quality of people's lives. 


For further information contact: 
North Central Research Station 
USDA Forest Service 
1992 Folwell Ave. 
St. Paul, MN 55108 


Or visit our web site: 
www.ncrs.fs.fed.us 


The Forest Inventory and Analysis web site is: 


www. fia.fs.fed.us 


* U.S. GOVERNMENT PRINTING OFFICE: 2002-757-170 


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Haugen, David E.; Hansen, Mark H. 

2002. BIA forest lands of North and South Dakota, 1996. Resour. Bull. NC- 
202. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North 
Central Research Station. 56 p. 

An estimated 146 thousand acres of forest land are under BIA jurisdiction, 
and 131 thousand acres of that are forest land and timberland. This bulletin 
contains detailed tables of area, volume, growth, removals, and mortality on 
timberland. i 


KEY WORDS: Forest area, timber volume, growth, removals, mortality, BIA.