CONTENTS
Page I. II. Sampling Codebook Format Contents Record Record Record Record Record Record Record Index III. IV. Stored Example and estimation procedures ....... 3 4 4 5 9 12 17 20 20 21 22 23 26 29 40 40 52 57
definition explanation
.............. ..............
................... I (PLOTALL) 2 (PLOTFOR) 3 (TREE) 4 (SHRUB'r) 5 (SHRUBL) 6 (SITETR) 7 (POINT) .............. .............. ............... .............. .............. .............. ...............
.................... procedures retrievals ............... ...............
Appendix A. B.
...................... of codes .............. ...............
Definitions Glossary
of terms
Bibliography
....................
DATA
BASES
FOR
FOREST
INVENTORY
IN
THE
NORTH
CENTRAL
REGION
Jerold
T.
Hahn,
Principal
Mensurationist,
and
Mark
H.
Hansen,
Mensurationist
z Data
Base
Manaser
work
The Forest unit (FIA)
Inventory and Analysis research at the North Central Forest
available to develop
data base a set of
management data bases
system was to enhance
used data
Experiment Station, U.S. Department of Agriculture, Forest Service, collects information on various renewable natural resources in the ll-State North more efficiently them available Central Region (fig. use these data and to outside users, a i). To to make commercially
storage and retrieval. This report is designed to be used by the managers, researchers, or planners who want to know what information is available from FIA data. only commonly available of reports that were Until recently, information was a when a State the series
published
FOREST SURVEY UNITS AND DATA BASE BOUNDARIES NORTH CENTRALFOREST EXPERIMENTSTATION FOREST SERVICE-- U.S. DEPARTMENT AGRICULTURE OF 1984
HO'A_ UNITED CENTRAL STATES
STATE. ILUNOIS
DATA
BASE
AND
UNIT
NAMES
MINNESOTA V MINNOR 2 Northern Plno W MINSOU 3 C_tral HarDwood 4 Prairie MmSOUm xlr MOZARK I ea=,*,n Oza,, 2 sou,hw_m,n Oz,,k 3 Northwestern ozark Xm _ORBNW 4 PraJde $ Riverboroer NEBRASKA tx NEBRASK , E.lltem 2 Western NORTH DAKOTA VII NDAKOTA SOUTH DAKOTA VtltESOAKOTA ' astern WISCONSIN I1_WISNOR I Northe_Istern 2 Northwestern Iv w_ssou 3 Cenlrat 4 Soumwester_ $ Southeastern
XI¥sILLINII OUthern 2 Clay-Pan 3 Prairie INDIANA XV INDIANA 1 Lower w,b_,h 2 Knobs a u_la.e R,), 4 NOrthern IOWA X_ _OWA • Northeasterr 2 Sou|heastern 3 Southwesle rn 4 Nocf;lwestern KANSAS X KANSAS 1 Nonheaster;n 2 Southeaslerr 3 Wester_ MICHIGAN 4 Northwestern ...... Unit boundaries Data base boundaries M=CHUP , easlern IJDDer Peninsula 2 w_tern ii MICNLP 3 No.h,,m Upper Peninsula Lower penln*ula
4 SOUthernf.owe, Pet_n_la
Figure
l.--Forest
Survey
units
and
data
base
boundaries.
Table
l.--Data Geographic covered
base area
date Ltoken___and
size b_a_hic
c0verage Forest plots
Date
Token I/
Bytes
Cases
Trees
Records
I II III IV V VI VII VIII IX X XI XII Xill
Michigan Upper Peninsula Michigan Lower Peninsula Northern Wisconsin Southern Wisconsin Northern Minnesota Southern Minnesota North Dakota South Dakota (eastern) Nebraska Kansas Iowa Missouri Ozarks Missouri Riverborder and Prairies
1980 1980 1983 1983 1977 1977 1980 1980 1983 1981 1974 1972 1972 1967
MICHUP MICHLP WISNOR WISSOU MINNOR MINSOU NDAKOTA SDAKOTA NEBRASK KANSAS IOWA MOZARK MORBNW INDIANA
14,034,143 11,027,555 15,060,621 6,576,303 17,014,071 5,702,142 2,704,102 3,333,173 2,314,016 5,371,730 2,562,666 4,323,264 2,403,360 1,500,725
5,719 8,871 7,151 8,768 13,696 22,807 18,214 23,206 14,449 23,705 12,607 4,042 6,569 1,058
189 744 125 794 200 351 89 651 235 885 49 060 5 339 2 928 5 004 36 306 16,276 67,956 27,145 24,124
246,088 190,840 274,679 135,884 274,804 96,843 45,164 50,747 35,906 93,931 43,303 78,148 41,470 28_028
4,709 3,671 5,425 2,790 8,345 2,169 604 518 535 1,807 756 2,108 884 1,058
XV
indian_7
!/Token used for data base name, password, and security passwords. _/Data for Illinois are not expected to be available until 1985. _/The Indiana data base contains data for forest plots only. inventory was completed. Because of the extensire area covered by the inventories and the large variety of information gathered, only a small portion of the available information gets published. Persons needing different or more detailed data had to contact F!A personnel directly to see if the data were available and if so how they could obtain it. This report describes the FIA data available so that interested persons can decide whether or not those data can help satisfy their needs. In addition, it serves as a data base description for persons wishing to access the data bases directly, it is not meant to be a complete user's manual for the data base management system, The FIA data bases are available through the University of Minnesota Computer Center (UCC) using the Scientific Information Retrieval (SIR) data base management system (Robinson et al. 1980). SIR is a hierarchical system designed for use with scientific data. Compared with other data base management systems available at UCC, SIR is the easiest, most economical, and most flexible system available for storing and retrieving FIA data. Interested users can directly access the FIA set of data bases and make their own data retrievals, or they can request the FIA data base manager to develop a Table Record number 1 2 3 4 5 6 7 2.--North central FIA data base specialized data retrieval for them. Users accessing the data bases will need to have a UCC user account, access to a computer terminal, knowledge of the SIR data base management system, and a basic understanding of FIA sampling and estimating procedures. The data base manager can assist anyone seeking a UCC account or information about SIR. Persons requesting _he data base manager to access the data bases for them will be charged for computer and personnel costs. The North Central FIA data base collection is stored in 15 separate SIR data bases, each covering a State or portion of a State (fig. i, table i). Within each data base is a data case for each inventory plot. Each case consists of up to seven data record types (table 2). These seven record types relate closely to the way data are collected and used in the FIA inventory. This report is divided into four sections plus an appendix. The first section briefly describes FIA sampling and estimation procedures as they relate to the seven record types. The second section describes the data base, providing names, descriptions, formats, and data type codes for each variable in the data base. record types
Record name PLOTALL PLOTFOR TREE SHRUBT SHRUBL SITETR POINT
Record occurrence All ground plots Forest plots and nonforest plots with Measured trees on a plot Measured tall shrubs on a plot Measured low shrubs on a plot Site index trees recorded on a plot Nonstocked points on a plot
trees
plots
A table of contents and an index of variable names are included_ The third section lists the stored proced_res contained in the data bases and instructions on their use. The fourth section contains examples of retrievals that can be made from the data bases and demonstrates how interested users may access the data bases° The appendix describes those codes that vary between data bases or whose descriptions are too long to include in section II. The appendix also contains a glossary of terms and definitions used in this and other FIA publications_
second, the remeasurement expander (EXPREMEA), is recorded only for remeasurement plots and is used to make estimates based on the remeasured sample. On plots that are currently classified as forest or nonforest with trees, and on remeasurement plots that were forest at the previous measurement, additional plot information is recorded in record type 2 (PLOTFOR). This information includes ownership, total basal area, forest type, stand age, site index, and a volume expander (EXPVOL). The volume expander is similar to the area expander, and in most States the two are equal; however, in some States the inventory design necessitated pander. The volume expander expand plot volumes per acre volume. a different exmust be used to to estimate total
SECTION
Io--SAMPLING
AND ESTIMATION
PROCEDURES
Users of the FIA data bases need to understand FIA sampling procedures in order to know the type of information that can be obtained from the data bases, how to go about obtaining this information, and the value and accuracy of the information° Specific FIA sampling procedures differ somewhat from State to State; however, the general description of the sampling procedure given here applies to all States. The FIA inventory begins with an aerialphoto sample that estimates the area of land by various classes. These classes are based on land-use and, for forested land, forest type, volume, size and/or density. Also, as part of the aerial-photo sample, ground plots are located on the aerial photos and similarly classified. Ground plots may be remeasurement plots, transferred to the aerial photos from old photos or maps, or new plots, selected by systematic sampling. The photo classification of these ground plots, together with the area estimates from the photo sample, is used to assign area expansion factors to the ground plots. If 25 ground plots in the same sampling area have a photo interpretation classification that was observed for 50,000 acres in the sampling area, then each of these 25 ground plots would be given an expansion factor of 2,000 acres (50,000/25). The sampling area, or level at which expansion factors are assigned, is different from State to State, as is the classification scheme used to assign photo-interpretation classes. Sampling areas may be forest survey units (fig. i), counties, groups of counties, or national forests. Persons interested in the details of how these expansion factors were assigned to the ground plots for a particular area should contact the data base manager, Once a ground plot location has been selected on an aerial photograph, it is established and measured in the field. On all ground plots the information recorded includes plot location, land use, date of aerial photography, and date of ground measurement. This information is collected for all plots and is stored in record type 1 (PLOTALL), along with two expansion factiors. The first, the area expander (EXPAREA), is recorded for all plots and is used to estimate area based on all sample plots. The
The basic FIA plot is a 10-point cluster that covers a 1-acre sample area. At each sample point a 37.5 BAF (English) prism plot is established, and all live trees with a diameter breast height (d.b.h.) 5 inches or greater are sampled, as well as salvagable dead trees or those that have died in the past 3 years. Trees with a d.b.h, less than 5 inches but at least 1 inch are sampled on fixed-radius (6.8 feet) plots. Stumps cut in the past 3 years are recorded on ten 1/50-acre plots. Each tallied tree or stump is identified by a unique point and tree number. Items tallied include species d.b.h., crown ratio, and other tree information. This information is stored in record type 3 (TREE). There is one occurrence of this record for each tree. Some of the items in this record, such as tree volume, are computed from basic tree measurements. There is also an expander for each tree (EXPANDR) that expresses the number of trees per acre represented by the sample tree. Shrubs are sampled on the northeast quarter of a 6.8-foot fixed-radius plot located at each of the first three cluster sample points. Shrubs are tallied as tall or low. Tall shrub species and stem diameter are recorded in record type 4 (SHRUBT), and low shrub species and percent cover are recorded in record type 5 (SHRUBL). Also, for each forest plot a number of additional trees are measured to determine site index. This information is recorded in record type 6 (SITETR) and occurs once for each site index tree that was measured. In addition, when one of the 10-point cluster sample points is observed to be nonstocked (no trees or seedlings present), an explanation of why it is nonstocked is recorded in record type 7 (POINT). For remeasurement plots additional information is recorded for each tree, such as original tree d_b.h, and other original tree data. This information may be used to estimate growth, mortality, and removals on these remeasurement plots. On new plots removals can be estimated using the measured stumps and assuming these
3
stumps were cut in the past 3 years. Mortality on new plots can be estimated from the dead trees tallied, also assuming these trees died in the past 3 years, Another method to estimate mortality using new plots is by using the mortality factor, an estimate of the number of trees per acre represented by the tally tree that will die in the next duct year. This mortality factor is the proof the tree expander and the probability will die in the next year. Growth is estimated using data stored as data. For new plots, the original an estimate of the trees' condition
explanation of this codebook can be found in the SIR user's manual (Robinson et al_ 1980). We present a brief explanation of this format using the definition of sample kind as an example. R2. SAMPKND , Sample FORMAT: DATA TYPE: LABELS: New 10-Point Full Remeasurement Remeasurement NF New 10-Point Full Kind II I*I
VALUE
that the tree on new plots original tree tree data are
(I) (2) (3) (4)
NF
I year before being measured, based on growth functions. These growth functions and the functions used to compute probability of mortality are derived from remeasurement plots. Details about these functions for a particular data base can be obtained by contacting the data base Each Finally, the data bases also contain pronumber jected plot and tree data that are periodically updated using the Stand and Tree Evaluation and Modeling System (STEMS) (Belcher et al. 1982) growth model. The system used to update the manager. data simulates natural growth and mortality but does not account for removals, land-use change, regeneration, fire, management, or any other major changes that could occur. Methods are being developed to incorporate these major changes into the update process, Not all data were collected for all sur-
(5) Reserve [Phantom] (6) Remeasurement Partial (7) (8) (9) (0) definition New lO-Point Partial Remeasurement Partial Remeasurement Updated Stereo dots [not grock] starts with a variable
consisting
of a letter
(C or R) and one
or more digits. A description of the difference between C (common information record) and R (record) variables can be found in Robinson et al. 1980. In the example the variable number is R2. Next is the variable name, one to eight characters all upper case, SAMPKND in the example. The name is followed by the variable label. This label can be of any length and consists of two parts: A short label of up to 40 characters followed by a semi-colon and as many 80-character lines separated by semi-colons as desired. The example has a short label only. This short label is the label transferred with the variable during retrievals. The next line shows the data input format for the variable, in this case a one-digit integer number, followed by the data type and data base storage requirement, in the example an integer variable using one byte of storage. Finally, the value labels are listed. These labels are up to 20 characters long and are listed for each legal value. of the In the example, we have labels for each I0 possible values. In general, if a label does not exist, are illegal it means that the values for that variable.
veys. For example, shrub data were first collected during the 1980 Michigan survey and are only available for this and subsequent surveys, If a data item is not available for all surveys, this is noted in the codebook (section II).
SECTION Codebook The
II.--CODEBOOK Format
DEFINITION
Explanation detailed base. definitions A detailed
codebook
contains
value
of the variables
in the data
remaining
NORTH
CENTRAL
FIA
DATA
BASE CODEBOOK
DEFINITION
TABLE RECORD Variable name IDENT STATE UNTCO SAMPKND DISTURB PICODE PISTRAT GLUCUR GLUORG GLUPRJ CHANGE UTREND STDHIST PRJSTDH PHOTAGE SURDATE PRJDATE GROPER USESET USEAREA USEPOST SOILCLS EXPAREA PRJAREAI PRJAREA2 UTMZONE UTMNORTH UTMEAST TOWNSHIP RANGE SECT ION EXPREMEA Variable type & numberl/ C6_ RI_ CI° R2. R3. R4° R5° C2° R6, R7, R8. R9° R I0_ RIIo RI2o RI3_ RI4° RI5, RI6. RI7. RI8, RI9. C 7. R20. R21. R22. R23. R24° R25. R26. R27. R28,
OF CONTENTS 1 (PLOTALL) Page 9 9 9 9 9 9 i0 I0 I0 i0 I0 i0 I0 I0 10 i0 i0 10 i0 ii ii 11 ii II ii 11 ii 11 11 11 11 II
Definition Case Identifier State Code Unit and County Sample Kind Disturbance Code Photo Interpretation Code Photo Stratification Code Ground Land Use Current Ground Land Use Original Ground Land Use Projected Reason for GLU change Use Trend Stand History Projected Stand History Photo Age Survey Date Projected Date Remeasurement Period Use Setting-Recreation Use Area-Recreation Use Posted-Recreation Soil Classification Area Expander Projected Area Expander 1 Projected Area Expander 2 UTM Zone Code UTM Northing To Nearest 1000 Meters UTM Easting To Nearest i000 Meters Township Range Sec t ion
Remeasurement RECORD
Expander 2 (PLOTFOR)
Variable name IDENT DWT DWS DWV DRT DRV NATFOR RANDI ST OWNGP PRJOWN ASPECT POSITION SLOPE PHYCLS STDORG SEEDSOR CUNCOND CUNSPP BACUR BAORG BAPRJ FORTCUR FORTPRJ SZDNCUR ---_/C= Common R = Record
Variable type & number C6° RI. R2. R3. R4. R5. R6. R7. C3. R8. R9. RI0. RII. RI2. RI3. RI4. RI5° RI6. RI7. RI8. RI9. C4. R20. R21. Information variable. Definition Case Identifier Distance Distance Distance Distance Distance National to Water Type to Water Size of Water to Water Value to Road Type of Road to Road Value Forest Code Page 12 12 12 12 12 12 12 12 12 13 13 13 13 13 13 13 13 13 13 13 14 14 14 14
Ranger District Ownership Group Projected Owner Group Aspect of Plot Center Position on Slope Slope Angle at Plot Center Physiographic Class Stand Origin Seed source Conifer Understory Conifer Understory Basal Area Current Condition Species Value
Basal Area Original Value Basal Area Projected Value Current Forest Type Projected Forest Type Current Stand Size-Density Record (CIR) variable
5
RECORD Variable name SZDNPRJ FORTORG SZDNORG STDAGE PRJAGE SITECLS SITEIND SISPP EXPVOL GSCUVS GSCUVH PRJSVOL PRJHVOL STDAREA AREACOND GRSTKPC ROUGHPC ROTENPC PRJGSPC PRJRGPC PRJRTPC SG01 SG02 SG03 SG04 SG05 SG06 SG07 SG08 SG09 SGI0 SGII SGI2 SGI3 SGI4 SGI5 SGI6 SGI7 SGI8 SGI9 SG20 SG21 SG22 SG23 SG24 SG25 SG26 SG27 SG28 SG29 SG30 SG31 SG32 SG33 SG34 SG35 SG36 SG37 SG38 SG39 SG40 SG41 SG42 SG43 !/C = Common R = Record Variable type & number I/ R22. R23. R24. R25. R26. R27. C5. R28o R29. R30. R31. R32. R33. R34. R35. R36. R37. R38. R39. R40. R41. C8. C9. CI0. CII. C12. C13. C14. C15. C16. C17. C18. C19. C20. C21. C22. C23. C24. C25. C26. C27. C28. C29. C30. C31. C32. C33. C34. C35. C36. C37. C38. C39. C40o C41. C42. C43. C44. C45. C46. C47. C48. C49. C50. Information variable Definition
2 (PLOTFOR)
-(continued) Page 14 14 14 14 14 14 14 14 14 15 15 15 15 !5 15 15 16 16 16 16 16 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 16 16 16 16 16 16 16 16 16 16 16 16 16 !6 16 16 16 16 16 16 16 16 16
Projected Stand Size-Density Original Forest Type Original Stand Size-Density Stand Age Projected Stand Age Site Class Site Index Site Index Species Volume Expander Growing Stock CuFt Volume Softwoods Growing Stock CuFt Volume Hardwoods Projected G.S. CuFt Volume Softwoods Projected G.S. CuFt Volume Hardwoods Stand Area Stocking Level Class Growing Stock Tree Stocking Rough Tree Stocking Rotten Tree Stocking Projected GoS. Tree Stocking Projected Rough Tree Stocking Projected Rotten Tree Stocking Presence or Absence of Jack Pine Presence or Absence of Red Pine Presence or Absence of White Pine Presence or Absence of Ponderosa Pine Presence or Absence of Loblolly Pine Presence or Absence of Shortleaf Pine Presence or Absence of Other Yellow Pines Presence or Absence of White Spruce Presence or Absence of Black Spruce Presence or Absence of Balsam Fir Presence or Absence of Hemlock Presence or Absence of Tamarack Presence or Absence of Bald Cypress Presence or Absence of E. Red Cedar Presence or Absence of N. white-cedar Presence or Absence of (not assigned) Presence or Absence of Other Softwoods Presence or Absence of Select White Oak Presence or Absence of Other White Oak Presence or Absence of Select Red Oak Presence or Absence of Other Red Oak Presence or Absence of Select Hickory Presence or Absence of Other Hickory Presence or Absence of Basswood Presence or Absence of Beech Presence or Absence of Yellow Birch Presence or Absence of Hard Maple Presence or Absence of Soft Maple Presence or Absence of Elm Presence or Absence of Black Ash Presence or Absence of White-Green Ash Presence or Absence of Sycamore Presence or Absence of Cottonwood Presence or Absence of Willow Presence or Absence of Hackberry Presence or Absence of Balsam Poplar Presence or Absence of Bigtooth Aspen Presence or Absence of Quaking Aspen Presence or Absence of Paper Birch Presence or Absence of River Birch Presence or Absence of Sweetgum Presence or Absence of Blackgum and Tupelo Presence or Absence of Black Cherry Record (CIR) variable
6
RECORD Variable name SG44 SG45 SG46 SG47 SG48 SG49 SG50 Variable name IDENT TRNUM TRHIST PRJHIST SPECIES DBHORG DBHCUR DBHPRJ SOUND LOGGR CAVIT CRRAT PRJCRRAT CRCLS DAMDETH TRCLS PRJTRCLS PTOCC EXPANDR PRJEXPD MORTFAC NCSPGP TRSZCLS PRJTRSZ TRSIND NETCUVL PRJNCVL Variable type & number I/ C51. C52. C53° C54. C55° C56. C57o
2 (PLOTFOR)
-(continued) pafme_ 16 16 16 16 16 16 16
Definition Presence or Absence Presence or Absence Presence or Absence Presence or Absence Presence or Absence Presence or Absence Presence or Absence RECORD 3 (TREE) Definition
of of of of of of of
Black Walnut-Butternut Yellow Poplar (not assigned) (not assigned) Other Hardwoods Noncommercial
Variable type & numberlzi C6, RI. R2. R3, R4. R5. R6. R7° R8o R9° RIO. RII. RI2. RI3. RI4. RI5. RI6. RI7. RI8, RI9. R20. R21. R22. R23. R24. R25° R26° Page 17 17 17 17 17 17 17 17 17 18 18 18 18 18 18 18 18 18 18 18 18 19 19 19 19 19 19 Page 20 20 20 20 20 20 Page 20 20 20 21 21 Page 21 21 21 21 21 21 21
Case Identifier Tree Number Tree History-Status Projected Tree History-Status Tree Species Original Diameter Breast High Current Diameter Breast High Projected Diameter Breast High Soundness Code Log Grade Cavities Code Crown Ratio Projected Crown Ratio Crown Class Damage Cause Tree Class of Death
Projected Tree Class Point Occupancy Number of Trees Per Acre Projection Factor Mortality Factor North Central Species Tree Size Class Projected Tree Site Net Cubic
Group
Tree Size Class Index Foot Volume in Tree in Tree
Projected Net CuFt Volume RECORD 4 (SHRUBT) Case Identifier Shrub Number-Tall
IDENT SBTNUM SHRUBSP DIACLS COUNT EXPSHUT
C6. RI, R2. R3. R4. R5.
Shrub Spec ies-Tall Diameter Class Count of Number of Individuals Expander for Shrub RECORD 5 (SHRUBL) Case Identifier Shrub Number-Low Shrub Spec ies-Low Percent Ground Cover Expander for Low Shrub RECORD 6 (SITETR) Case Tree Identifier Number Tall
IDENT SBLNUM SHUSPL COVER EXPSHUL
C6, RI° R2° R3. R4.
IDENT TRNUM DBHSI SPPSI HTSI AGESI YRSADD I/C = Common R = Record
C6. RI° R2. R3. R4. R5. R6, Information variable.
Diameter Breast High Site Index Tre Species Site Index Tree Height Site Index Tree Total Age Site Index Tree Years Added to DBH Age for Total Ag Record (CIR) variable
7
RECORD Variable name IDENT PTNUM PTCLS Variable / ty_p_e number 1 & C6. RI. R2.
7 (POINT) Page 22 22 22
Definition Case Identifier Point Number Point Class
INDEX
23
I/C = Common R = Record
Information variable.
Record
(CIR)
variable
This The one data code
data book
base
contains
data for the
for an entire entire State.
State
or a portion contains
of State. the data plot from
is the same in seven types
Each case 1 and
survey
plot
record
types.
Record tree
types
2 contain data.
level
and record
3 through
7 contain
and shrub
***
RECORD
1 (PLOTALL)
DEFINITION
***
Record
type
1 (PLOTALL)
contains
data
gathered
for all plots.
MAXIMUM RECS/CASE: CASE IDENTIFIER: C6_ IDENT
1 IDENT
(A)
, Case Identifier (XYYYYY where; X = FIA unit number yYYYY = Plot number. Every plot within a data base has a unique case identifier. See appendix for unit codes.) FORMAT : 16 DATA TYPE : 1"4
RI.
STATE
, State Code FORMAT : 12 DATA TYPE : 1"2 LABELS: (17) (18) (19) (20) Illinois Indiana Iowa Kansas (26) (27) (29) (31) Michigan Minnesota Missouri Nebraska (38) North Dakota (46) South Dakota (55) Wisconsin
VALUE
C I.
UNTCO
, Unit and County (XYY where; X = Unit Number YY = County See appendix FORMAT : 13 DATA TYPE : 1"2 number. for codes)
R2.
SAMPKND
, Sample Kind FORMAT : I1 DATA TYPE : I*i VALUE LABELS : (I) New lO-Point Full (2) Remeasurement (3) Remeasurement NF (4) New lO-Point Full (5) Reserve[Phantom] , Disturbance Code
NF
(6) (7) (8) (9) (0)
Remeasurement Partial New 10-Point Partial Remeasurement Partial Remeasurement Updated Stereo dots [not gr.ck]
R3.
DISTURB
Not used prior to 1982 FORMAT : I1 DATA TYPE : I* 1 VALUE LABELS : (I) Forest to forest undisturbed (2) Nonforest to forest disturbed (3) Nonforest to forest R4. PICODE , Photo Interpretation Code (See appendix for codes) FORMAT : 12 DATA TYPE : 1"2
(4) Forest to nonforest (5) Nonforest to nonforest
9
R5.
PISTRAT
, Photo Stratification Code (See appendix for codes) FORMAT : i2 DATA TYPE : 1"2 , Ground Land Land Land 12 1"2 Use Current Use Original Use Projected
C2. R6. R7.
GLUCUR GLUORG GLUPRJ
, Ground , Ground FORMAT : DATA TYPE: LABELS:
VALUE
(20) Commercial Forest (22) Plantation (41) Reserved Forest (46) (52) (54) (56) (58) (61) (64) (66) (68) (71) (80) Christmas Tr.Plant. Pasture With Trees Idle Farmland W-T Narrow Windbreaks Windbreaks Cropland Wo-T Idle Farmland Wo-T Other Farmland Rights-of-way Urban For. Reserved Noncensus Water
(21) (40) (45) (51) (53) (55) (57) (59) (62) (65) (67) (69) (72) (90)
Pastured Com. Fore_ Unproductive Forest Reserved For.Prod. Cropland With Trees Wooded Strip Marsh With Trees Wide Windbreaks Wooded Pasture Improved Pasture Woo Marsh Wo-T Urban and Other Nonforest Reserve Urban With Trees Census Water
RS.
CHANGE
, Reason FORMAT : DATA TYPE : , Use
for GLU change I1 I*i
R9.
UTREND
Trend for deff.
See appendix FORMAT : 13 DATA TYPE : 1"2 RI0. STDHIST
, Stand History See appendix for deff. FORMAT : 12 DATA TYPE : 1"2
RII.
PRJSTDH
, Projected Stand History See appendix for deff. FO 2_IAT: 12 DATA TYPE : 1"2 , Photo Age (years) FORMAT : I 1 DATA TYPE : I*i , Survey FORMAT: DATA TYPE : Date A4 WITH 1"4
RI2.
PHOTAGE
RI3.
SURDATE
DATE
MAP:
'MMYY'
RI4.
PRJDATE
, Projected Date FORMAT: A4 WITH DATA TYPE : 1"4 , Remeasurement (years) FORMAT : 12 DATA TYPE : 1"2
DATE
MAP:
'MMYY'
RI5.
GROPER
Peroid
RI6.
USESET
, Use Not FORMAT DATA TYPE LABELS:
Setting-Recreation used prior to 1982 : Ii : I*i (i) Primitive (3) Semi-prim. (5) Rural motor (2) Semi-prim. non-mot (4) Roaded natural (6) Urban
VALUE
I0
RI7_
USEAREA
, Use Not FORMAT DATA TYPE , Use Not FORMAT DATA TYPE
Area-Recreation used prior to 1982 : I1 : I*i posted-Recreation used prior to 1982 : I1 : I*l
RI8.
USEPOST
RI9°
SOILCLS
, Soil Classification Available for future FORMAT " I8 DATA TYPE : 1"4 , Area Expander (acres) FORMAT : 15 DATA TYPE : 1"4 Projected Area (acres) FORMAT : 15 DATA TYPE : 1"4 Projected Area (acres) FORMAT : 15 DATA TYPE : 1"4 , UTM Zone Code FORMAT : 12 DATA TYPE : 1"2 UTM Northing FORMAT : 15 DATA TYPE : 1"4 , UTM Easting FORMAT : 15 DATA TYPE : 1"4 Township FORMAT : A4 DATA TYPE : A*6 , Range FORMAT : DATA TYPE :
use
C7.
EXPAREA
R20.
PRJAREAI,
Expander
1
R21.
PRJAREA2,
Expander
2
R22.
UTMZONE
R23.
UTMNORTH,
To Nearest
i000
Meters
R24.
UTMEAST
To Nearest
I000 Meters
R25.
TOWNSHIP,
_26o
RANGE
A4 A*6
R27.
SECTION
, Section FORMAT : 12 DATA TYPE : 1"2 Remeasurement (acres) FORMAT : 16 DATA TYPE : 1"4 Expander
R28.
EXPREMEA,
RECORD
2 (PLOTFOR)
DEFINITION
***
Record
type 2 (PLOTFOR) occasion trees.
contains
data
for plots plots,
classified
as forest, classified
at either as _on-
measuretaent forest with
for remeasurement
or for plots
MAXIMUM RECS/CASE : CASE IDENTIFIER: C6. IDENT
I IDENT
(A)
, Case Identifier (Unit & Seq. Plot FORMAT : 16 DATA TYPE : 1"4
Num.)
RI.
DWT
, Oistance to Water Type Not used prior to 1974 FORMAT : I I DATA TYPE : I*i LABELS: (i) Streams (3) Swamps of Water (2) Lakes (4) Farm ponds
VALUE
R2.
DWS
, Distance to Water Size (acres) Not used prior to 1982 FORMAT: 13 DATA TYPE : 1"2 , Distance to Water Value (chains) Not used prior to 1974 FORMAT : 14 DATA TYPE : 1"2
R3.
D_'
R4.
DRT
, Distance to Road Type of Road Not used prior to 1974 FORMAT : I I DATA TYPE : I*I LABELS: (i) Paved-4 lane (3) Improved-gravel (2) Paved-2 lane
VALUE
R5.
DRV
, Distance to Road Value (chains) Not used prior to 1974 FORMAT : 14 DATA TYPE : 1"2 , National Forest FORMAT : 13 DATA TYPE: 1"2 LABELS: (902) (904) (907) (909) (911) Code
R6.
NATFOR
VALUE
Chequamegon Huron-Manistee Ottawa Superior Wayne-Hoosier
(903) Chippewa (906) Nicolet (908) Shawnee (9i0) Hiawatha (918) Mark Twain
R7.
RANDIST
, Ranger FORMAT : DATA TYPE :
District 12 1"2
C3.
OWNGP
, Ownership Group FORMAT : I I DATA TYPE : 1"1 VALUE LABELS: (I) National (3) Private
forest
(2) Other
public
12
R8o
PRJOWN
, Projected Owner Group FORMAT : I 1 DATA TYPE : I*i VALUE LABELS: (I) National forest (3) Private , Aspect of Plot (degrees) Not used prior FORMAT : 13 DATA TYPE: 1"2 Center to 1973
(2) Other
public
R9o
ASPECT
RI0.
POSITION,
Position on Slope Not used prior to 1973 FORMAT : I 1 DATA TYPE: I*l LABELS: (i) Top quarter (3) Lower quarter (2) Upper (4) Level quarter or lowest quarter
VALUE
RIIo
SLOPE
, Slope Angle at Plot Center (percent) Not used prior to 1973 FORMAT : 12 DATA TYPE : 1"2
RI2.
PHYCLS
, Physiographic Class (Degree of Wet-Dryness) FORMAT : I 1 DATA TYPE: I*l VALUE LABELS: (3) Xeric (5) Mesic (7) Hydric , Stand Origin (Plant e d-Natur a I ) I1 I* 1 (i) Natural (3) LT 40 percent
(4) Xeromesic (6) Hydromesic
Rl3.
STDORG
FORMAT : DATA TYPE : VALUE LABELS:
(2) GE 40 percent artificial
artificial
RI4.
, Seed Source (Degree of Conifer Seed Source) FORMAT : I 1 DATA TYPE : I*l VALUE LABELS (i) Adequate softwood (3) Adeq.soft & hard CUNCOND , Conifer Understory FORMAT : I 1 DATA TYPE : I* 1 LABELS: Condition
SEEDSOR
(2) Adequate hardwood (4) Inadequate all spp.
RI5.
VALUE
(I) None or inadequate (3) Planted needs treat. (5) Natural needs treat.
(2) Planted (4) Natural
adequate adequate
RI6°
CUNSPP
, Conifer Understory Species (See appendix for codes) FORMAT : I3 DATA TYPE : 1"2 , Basal Area Current (sq feet) FORMAT : 13 DATA TYPE : 1"2 , Basal Area Original (sq feet) FORMAT : 13 DATA TYPE : 1"2 Value
RI7.
BACUR
RI8.
BAORG
Value
RI9.
BAPRJ
, Basal Area Projected (sq feet) FORMAT : 13 DATA TYPE : 1"2
Value
C4.
FORTCUR
, Current Forest Type (See appendix for codes) FORMAT : 12 DATA TYPE : 1"2
R20.
FORTPRJ
, Projected Forest Type (See appendix for codes) FORMAT: 12 DATA TYPE : 1"2 , Current Stand Size-Density Size-Density
R21. R22.
SZDNCUR SZDNPRJ
, Projected Stand FORMAT : 12 DATA TYPE : 1"2 LABELS: (ii) (12) (13) (31) (32) (33)
VALUE
Sawtimber-Good Sawtimber-Medium Sawtimber-Poor Seed-Saps-Good Seed-Saps-Medium Seed-Saps-Poor
(21) (22) (23) (40)
Poletimber-Good Poletimber-Medium Poletimber-Poor Nonstocked
R23.
FORTORG
, Original Forest Type (See appendix for codes) FORMAT : 12 DATA TYPE : 1"2 , Original Stand FORMAT : 12 DATA TYPE : 1"2 LABELS: Size-Density
R24.
SZDNORG
VALUE
(i0) Sawtimber (30) Sapling & seedling
(20) (40)
Poletimber Nonstocked
R25.
STDAGE
, Stand Age ( year s ) FORMAT : 13 DATA TYPE : 1"2 , Projected Stand (years) FORMAT : 13 DATA TYPE : 1"2 , Site Class FORMAT : 11 DATA TYPE : I*I LABELS: (i) (2) (3) (4) (5) (6) 225+ cu.ft. 165 to 225 cu.ft. 120 to 165 cu.ft. 85 to 120 cu.ft. 50 to 85 cu.ft. Less than 50 cu.ft. Age
R26.
PRJAGE
R27.
SITECLS
VALUE
C5.
SITEIND
, Site Index (feet at age 50) FORMAT : 12 DATA TYPE : 1"2
R28.
SISPP
, Site Index Species (See appendix for codes) FORMAT : 13 DATA TYPE : 1"2 , Volume Expander (acres) FORMAT : 15 DATA TYPE : 1"4 14
R29.
EXPVOL
R30.
GSCUVS
, Growing Stock CuFt Volume (cubic feet per acre) FORMAT: 16 DATA TYPE: 1"4 , Growing Stock CuFt Volume (cubic feet per acre) FORMAT: 16 DATA TYPE: 1"4 , Projected G.S. CuFt Volume (cubic feet per acre) FORMAT: 16 DATA TYPE: 1"4 , Projected G.S. CuFt Volume (cubic feet per acre) FORMAT: 16 DATA TYPE: 1"4 , Stand Area (acres) FORMAT: 13 DATA TYPE: 1"2
Softwoods
R31_
GSCUVH
Hardwoods
R32.
PRJSVOL
Softwoods
R33.
PRJHVOL
Hardwoods
R34_
STDAREA
R35.
AREACOND,
Stocking Level Class (See appendix for codes) FORMAT: I2 DATA TYPE: 1"2 , Growing Stock (percent) FORMAT: I3 DATA TYPE: 1"2 Tree Stocking
R36.
GRSTKPC
Variables a particular presence was were jack
C8 (SG01) species
through
C57
(SG50)
indicate
the presence SG01
or absence the pine
of
group of jack
on the plot.
For example, If SG01
indicates
or absence
pine on the plot. is 1 when jack
is 0, then and/or SGOI
no jack sapling is 2,
found on the plot. found, pine but jack
SG01
pine
seedling was not.
trees
pine
poletimber
or sawtimber
poletimber, was present. SG01 SG02 SG03 SG04 SG05 SG06 SG07 SG08 SG09 SGI0 SGII SGI2 SGI3 SGI4 SGI5 SGI6 SGI7 SGI8 SGI9 SG20 , , , , , , , , , , , , , , , , , , , ,
but not
sawtimber,
was present;
if SG01
is 3, jack
pine
sawtimber C8. C9. CI0. CII. C12. C13. C14. C15. C16. C17. C18. C19. C20. C21. C22. C23. C24. C25. C26. C27.
Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence
or or or or or or or or or or or or or or or or or or or or
Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence
of of of of of of of of of of of of of of of of of of of of
Jack Pine Red Pine White Pine Ponderosa Pine Loblolly Pine Shortleaf Pine Other Yellow Pine White Spruce Black Spruce Balsam Fir Hemlock Tamarack Bald Cypress E. Red Cedar N. White-cedar (not assigned) Other Softwoods Select White Oak Other White Oak Select Red Oak
15
C28. C29. C30. C31. C32. C33. C34. C35. C36. C37. C38. C39. C40. C41. C42. C43. C44. C45. C46. C47. C48. C49. C50. C51. C52. C53. C54. C55. C56. C57.
SG21 SG22 SG23 SG24 SG25 SG26 SG27 SG28 SG29 SG30 SG31 SG32 SG33 SG34 SG35 SG36 SG37 SG38 SG39 SG40 SG41 SG42 SG43 SG44 SG45 SG46 SG47 SG48 SG49 SG50
, Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or , Presence or FORMAT: Ii DATA TYPE: I*l
Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence
of of of of of of of of of of of of of of of of of of of of of of of of of of of of of of
Other Red Oak Select Hickory Other Hickory Basswood Beech Yellow Birch Hard Maple Soft Maple Elm Black Ash White-Green Ash Sycamore Cottonwood Willow Hackberry Balsam Poplar Bigtooth Aspen Quaking Aspen Paper Birch River Birch Sweet Gum Black Gum and Tupelo Black Cherry Black Walnut Butternut Yellow Poplar (not assigned) (not assigned) Other Hardwoods Noncommercial
VALUE LABELS:
(i) Sapling
& seedling
(2) Poletimber
(3) Sawtimber
R37.
ROUGHPC
, Rough Tree Stocking (percent) FORMAT : 13 DATA TYPE : 1"2 , Rotten Tree (perc ent) FORMAT : 13 DATA TYPE : 1"2 Stocking
R38.
ROTENPC
R39.
PRJGSPC
, Projected G.S. Tree (percent) FORMAT : 13 DATA TYPE : 1"2 , Projected Rough (percent) FORMAT : 13 DATA TYPE : 1"2 , Projected Rotten (perc ent) FORMAT : 13 DATA TYPE : 1"2 Tree
Stocking
R40.
PRJRGPC
Stocking
R4i.
PRJRTPC
Tree
Stocking
16
*** Record ploto group The
RECORD
3 (TREE)
DEFINITION
*** tree data tallied on each if a species that
type 3 (TREE) species group
contains variable
the individual
is set at i_ 2_ or 3 on the CIR it is blank or missing_
is present
on the plot_ present._
otherwise
indicating
the species
is not
MAXIMUM RECS/CASE : 250 CASE IDENTIFIER: IDENT SORT IDENTIFIER: (i) TRNUM C6_ IDENT
(A) (A)
, Case Identifier (Unit & Seq. Plot FO RMAT : 16 DATA TYPE : 1"4 _ Tree Number FO _MAT : I4 DATA TYPE : 1"2
Num.)
RIo
TRNUM
R2.
TRHIST
_ Tree History-Status On remeasurement plots the first digit is original status, the second digit is current status FORMAT : 12 DATA TYPE : 1"2 VALUE LABELS: (0) No status (2) Cull live (4) Dead[salvable] (6) Ongrowth (8) Stump[utilized] , Projected Tree FORMAT : I 1 DATA TYPE : I* 1 LABELS: History-Status
(i) (3) (5) (7) (9)
Growing stock live Ingrowth Dead[mortality] Stump[ salvaged] Stump[not utilized]
R3.
PRJHIST
VALUE
(0) No status (2) Cull live (5) Dead[mortality]
(i) Growing stock live (3) Ingrowth (8) Stump[utilized]
R4°
SPECIES
_ Tree Species (See appendix FORMAT : I3 DATA TYPE ° I* 2
for
codes)
R5o
DBHORG
, Original Diameter ( inches ) FORMAT : D4.2 DATA TYPE : R*8 _ Current Diameter (inches) FORMAT : D4.2 DATA TYPE : R*8 , Projected Diameter ( inches ) FORMAT : D4.2 DATA TYPE : R*8 , Soundness Code FORMAT : I 1 DATA TYPE : I*i , Log Grade FO RMAT : I 1 DATA TYPE : I*i
Breast
High
R6.
DBHCUR
Breast
High
R7o
DBHPRJ
Breast
High
R8.
SOUND
R9°
LOGGR
17
RI0.
CAVIT
, Cavities Code not used prior (See appendix for codes) FORMAT : 12 DATA TYPE : 1"2 , Crown Ratio (percent live crown) FORMAT : I 1 DATA TYPE : I*I Projected Crown Ratio (percent live crown) FORMAT : I 1 DATA TYPE : 1"i
to 1981
RII.
CRRAT
RI2.
PRJCRRAT,
RI3.
CRCLS
, Crown Class FORMAT : I 1 DATA TYPE : 1"i LABELS: (i) Open grown (3) Codominant (5) Overtopped (2) Dominant (4) Intermediate
VALUE
RI4.
DAMDETH
, Damage FORMAT : DATA TYPE : LABELS:
Cause 12 1"2
of Death
VALUE
(0) None (ii) Poplar borer (21) Phellinus tremulae (23) Other cankers (25) (27) (29) (40) (42) (44) (50) (70) (72) (81) (84) Dwarf mistletoe Butternut canker Eutypella canker Animal Cattle Porcupine Weather Unknown Poor form Logging Land clearing
(I0) Insect (20) Disease (22) Hypoxylon canker (24) Blister rust (26) (28) (30) (41) (43) (45) (60) (71) (80) (82) (85) Shoot blights Nectria canker Fire Beaver Deer Sapsuckers Suppression Missing or dead top Logging Timber stand imp. Conversion
RI5. RI6.
TRCLS , Tree Class PRJTRCLS, Projected Tree FORMAT : 12 DATA TYPE : 1"2 VALUE LABELS:
Class
(i0) Growing stock (30) Cull rough (40) Cull rotten
des.
(20) Growing stock acc. (31) Cull short-log
R17.
PTOCC
, Point Occupancy FORMAT : 11 DATA TYPE : 1"1 , Number FORMAT : DATA TYPE : of Trees D4.2 R*8 Per Acre
RI8.
EXPANDR
R19.
PRJEXPD
, Projection Factor (num. trees per acre) FORMAT : D4.2 DATA TYPE : R*8
R20.
MORTFAC
, Mortality Factor (num. trees per acre FORMAT : D4.2 DATA TYPE : R*8
per year)
18
R21.
NCSPGP VALUE
, North FORMAT: LABELS:
Central 12
Species
Group (2) Red pine (4) Ponderosa pine (6) Shortleaf pine (8) White spruce (I0) Balsam fir (12) Tamarack (14) Eastern redcedar (16) (18) Select white oak (20) Select red oak (22) Select hickory (24) Basswood (26) Yellow birch (28) (30) (32) (34) Soft maple Black ash Sycamore Willow
(I) Jack pine (3) White pine (5) Loblolly pine (7) Other yellow pines (9) Black spruce (11) Hemlock (13) Bald cypress (15) Northern white-cedar (17) Other softwoods (19) Other white oak (21) Other (23) Other (25) Beech (27) (29) (31) (33) red oak hickory
Hard maple Elm White & green Cottonwood
ash
(35) Hackberry (37) Bigtooth aspen (39) Paper birch (41) Sweetgum (43) Black cherry (45) Butternut (47) (49) Other R22° TRSZCLS , Tree Size Class FORMAT: II DATA TYPE: I*i LABELS: (i) Sapling & seedling (3) Sawtimber Size Class hardwoods
(36) Balsam poplar (38) Quaking aspen (40) River birch (42) Blackgum and tupelo (44) Black walnut (46) Yellow (48) poplar spp.
(50) Noncommercial
VALUE
(2) Poletimber
R23.
PRJTRSZ
, Projected Tree FORMAT: II DATA TYPE: I*i LABELS:
VALUE
(I) Seeds & saps (2) Poletimber (3) Sawtimber Site Index
R24.
TRSIND
, Tree
(feet age 50) FORMAT: 12 DATA TYPE : 1"2 R25. NETCUVL , Net Cubic Foot Volume acre) in Tree
(cubic feet per FORMAT : 16 DATA TYPE: 1"4
R26.
PRJNCVL
, Projected Net CuFt Volume (cubic feet per acre) FORMAT: 16 DATA TYPE: 1"4
in Tree
19
RECORD Record forest type 4 (SHURBT)
4 (SHRUBT) the data
DEFINITION tallied
*** for tall woody shrubs on
contains
plots. i00 IDENT (A) (i) SBTNUM (A) :
MAXIMUM RECS/CASE CASE IDENTIFIER: SORT IDENTIFIER: C6. IDENT
, Case Identifier (Unit & Seq.Plot FORMAT: I6 DATA TYPE : 1"4 , Shrub Number-Tall FORMAT : 14 DATA TYPE : 1"2
Num.)
RI.
SBTNUM
R2.
SHRUBSP
, Shrub Species-Tall (See appendix for codes) FORMAT : 13 DATA TYPE : 1"2 , Diameter Class (inches) FORMAT : 12 DATA TYPE : 1"2 LABELS: (i) 0.0-0.19 (3) 0.3-0.39 (5) 0.5-0.99 (15) 1.5-1.99 (25) 2.5-2.99 etc. i
R3.
DiACLS
VALUE
(2) 0.2-0.29 (4) 0.4-0.49 (1.0) 1.O-1.49 (20) 2.0-2.49 (30) 3.0-3.49
R4.
COUNT
, Count of Number FORMAT : 13 DATA TYPE : 1"2
of Individuals
R5.
EXPSHUT
, Expander for Shrub (shrubs per acre) o4.2 R*8
Tall
FORMAT : DATA TYPE :
*** RECORD Record forest type 5 (SHRUBL)
5 (SHRUBL) the
DEFINITION data tallied
*** for low herbaceous shrubs on
contains
plots. : 30 IDENT
MAXIMUM RECS/CASE CASE IDENTIFIER: SORT IDENTIFIER: C6. IDENT
(A) (A)
(i) SBLNUM
, Case Identifier (Unit & Seq. Plot FORMAT : 16 DATA TYPE: 1"4 , Shrub Number-Low FORMAT : 14 DATA TYPE : 1"2
Num.)
RI.
SBLNUM
R2.
SHUSPL
, Shrub Species-Low (See appendix for codes) FORMAT : 13 DATA TYPE : 1"2
20
R3o
COVER
_ Percent Ground Cover FORMAT : I i DATA TYPE : 1"i VALUE LABELS: (I) Solitary Plant (3) Numerous Plants (5) 25-50 percent (7) 90-100 percent , Expander for Low Shrub (shrubs per acre) FORMAT: D4.2 DATA TYPE : R*8
(2) Few Plants LT 5 percent (4) 5-25 percent (6) 50-90 percent
R4o
EXPSHUL
*** Record
RECORD
6 (SITETR) data
DEFINITION tallied
*** on forest plots.
type 6 (SITETR)
contains
for site trees
MAXIMUM RECS/CASE : CASE IDENTIFIER: SORT C6o IDENTIFIER: IDENT
I0 IDENT
(A) (A)
(i) TRNUM
, Case Identifier (Unit & SeqoPlot FORMAT : 16 DATA TYPE : 1"4 , Tree Number FORMAT : 14 DATA TYPE : 1"2 , Diameter Breast (inches) FORMAT : D3.1 DATA TYPE : R*8 , Species Site (See appendix FORMAT : 13 DATA TYPE : 1"2 _ Height (feet) FORMAT : DATA TYPE: Site 13 1"2
Num.)
RI.
TRNUM
R2.
DBHSI
High
Site
Index
Tree
R3.
SPPSI
Index Tree for codes)
R4o
HTSI
Index
Tree
R5.
AGESI
, Total Age Site (years) FORMAT : 13 DATA TYPE : 1"2 , Years Added FORMAT : 12 DATA TYPE : 1"2
Index
Tree
R6.
YRSA_DD
to DBH Age
for Total
Age
21
RECORD Record plots. MAXIMUM RECS/CASE: CASE IDENTIFIER: SORT IDENTIFIER: C6. IDENT I0 IDENT (I) PTNUM type 7 (POINT)
7 (POINT) data
DEFINITION tallied
*** points on forest
contains
for nonstocked
(A) (A)
, Case Identifier (Unit & Seq.Plot FORMAT: I6 DATA TYPE: 1"4 , Point FORMAT: DATA TYPE: , Point FORMAT: DATA TYPE: LABELS: Number 14 1"2 Class 12 1"2 (50) (51) (52) (53) (54) (60) (70) (80) (81) (82) (83)
Num.)
RI.
PTNUM
R2.
PTCLS
VALUE
Inhibiting Vegetation Inhib. Veg.-Grass Inhib. Vego-Shrubs Inhib. Veg.-Vines Inhib. Vego-Other Nonstocked Overtopped Nonstockable Nonstockable-Rocks Nonstockable-Water Nonstockable-Other
22
INDEX Variable name AGESI AREACOND ASPECT BACUR BAORG BAPRJ CAVIT CHANGE COUNT COVER CRCLS CRRAT CUNCOND CUNSPP DAMDETH DBHCUR DBHORG DBHPRJ DBHSI DIACLS DISTURB DRT DRV DWS DWI' DWV EXPANDR EXPAREA EXPREMEA EXPSHUL EXPSHUT EXPVOL FORTCUR FORTORG FORTPRJ GLUCUR GLUORG GLUPRJ GROPER GRSTKPC GSCUVH GSCUVS HTSI IDENT IDENT IDENT IDENT IDENT IDENT IDENT LOGGR MORT FAC NATFOR NCSPGP NETCUVL OWNGP PHOTAGE PHYCLS PICODE PISTRAT POSITION PRJAGE PRJAREAI PRJAREA2 PRJCRRAT PRJDATE Record numbe r 6 2 2 2 2 2 3 1 4 5 3 3 2 2 3 3 3 3 6 4 1 2 2 2 2 2 3 1 1 5 4 2 2 2 2 1 1 1 1 2 2 2 6 1 2 3 4 5 6 7 3 3 2 3 3 2 1 2 1 i 2 2 l 1 3 1 Variable numb e r R5. R35. R9o RI7. RI8. RI9o RIO. RS_ R4. R3_ RI3. RIIo RI5. RI6. RI4. R6. R5. R7. R2. R3. R3o R4. R5. R2. RI. R3. RI8. C 7. R28. R4. R5. R29. C4. R23. R20. C2. R6. R7° RI5. R36. R31. R30. R4. C6, C6. C6. C6o C6. C6. C6. R9. R20. R6. R21. R25. C3. RI 2. R12. R4. R5. RIO. R26. R20. R21. RI2. RI4. De f in ition Total Age Site Index Tree Stocking Level Class Aspect of Plot Center Basal Area Current Value Basal Area Original Value Basal Area Projected Value Cavities Code Reason for GLU change Count of Number of Individuals Percent Ground Cover Crown Class Crown Ratio Conifer Understory Condition Conifer Understory Species Damage Cause of Death Current Diameter Breast High Original Diameter Breast High Projected Diameter Breast High Diameter Breast High Site Index Diameter Class Disturbance Code Distance Distance Distance to Road Type of Road to Road Value to Water Size of Water Page__ 21 15 13 13 13 14 18 i0 20 21 18 18 13 13 18 17 17 17 21 20 9 12 12 12 12 12 18 11 ii 21 20 14 14 14 14 i0 I0 I0 i0 15 15 15 21 9 12 17 20 20 21 22 17 18 12 19 19 12 i0 13 9 I0 13 14 ii II 18 on next i0 page)
Tree
Distance to Water Type Distance to Water Value Number of Trees Per Acre Area Expander Remeasurement Expander Expander for low shrubs Expander for tall shrubs Vo lume Expander Current Forest Type Original Forest Type Projected Forest Type Ground Land Use Current Ground Land Use Original Ground Land Use Projected Remeasurement Period Growing Stock Tree Stocking Growing Stock CuFt Volume Hardwoods Growing Stock CuFt Volume Softwoods Height Site Index Tree Case Identifier Case Identifier Case Identifier Case Identifier Case Identifier Case Identifier Case Identifier Log Grade Mortality Factor National Forest Code North Central Species Net Cubic Foot Volume Ownership Group Photo Age Physiographic Class Photo Interpretation Photo Stratification Position on Slope Projected Projected Projected Projected
Group in Tree
Code Code
Stand Age Area Expander Area Expander Crown Ratio
1 2
Pro iected Date (continued
23
INDEX Variable name PRJEXPD PRJGSPC PRJHIST PRJHVOL PRJNCVL PRJOWN PRJRGPC PRJRTPC PRJSTDH PRJSVOL PRJTRCLS PRJTRSZ PTCLS PTNUM PTOCC RANDIST RANGE ROTENPC ROUGHPC SAMPKND SBLNUM SBTNUM SECT ION SEEDSOR SG01 SG02 SG03 SG04 SG05 SG06 SG07 SG08 SG09 SGI0 SGII SGI2 SGI3 SGI4 SGI5 SGI6 SGI7 SGI8 SGI9 SG20 SG21 SG22 SG23 SG24 SG25 SG26 SG27 SG28 SG29 SG30 SG31 SG32 SG33 SG34 SG35 SG36 SG37 SG38 SG39 SG40 SG41 SG42 Record number 3 2 3 2 3 2 2 2 1 2 3 3 7 7 3 2 1 2 2 1 5 4 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 Variable numbe r RI9, R39° R3. R33. R26° R8. R40_ R41° RII. R32. RI6. R23. R2_ RI° RI7. R7. R26. R38. R37o R2. RI. RI. R27 ° RI4. C8. C9. CIO. C If. C12. C13. C14° C15. C16° C17° C18o C19. C20. C21. C22. C23. C24. C25° C26. C27. C28. C29. C30. C31. C32. C33° C34. C35. C36. C37. C38. C39. C40. C41o C42. C43° C44. C45. C46° C47. C48. C49, De fin it ion Projection Factor Projected G°S. Tree Stocking Projected Tree History-Status Projected G°S. CuFt Volume Hardwoods Projected Net CuFt Volume in Tree Projected Owner Group Projected Rough Tree Stocking Projected Rotten Tree Stocking Projected Stand History Projected G.S. CuFt Volume Softwoods Projected Tree Class Projected Tree Size Class Point Class Point Number Point Occupancy Ranger District Range Rotten Tree Stocking Rough Tree Stocking Sample Kind Shrub Number-Low Shrub Number-Tall Sect ion Seed source Presence or Absence Presence or Absence Presence or Absence Presence or Absence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence Presence or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence Absence P age__ 18 16 17 15 19 13 16 16 i0 15 18 19 22 22 18 12 11 16 16 9 20 20 11 13 15 15 15 15
of of of of
Jack Pine Red Pine White Pine Ponderosa Pine
of Loblolly Pine 15 of Shortleaf Pine 15 of Other Yellow Pines 15 of White Spruce 15 of Black Spruce 15 of Balsam Fir 15 of Hemlock 15 of Tamarack 15 of Bald Cypress 15 of E_ Red Cedar 15 of N. white-cedar 15 of (not assigned) 15 of Other Softwoods 15 of Select White Oak 15 of Other White Oak 15 of Select Red Oak 15 of Other Red Oak 16 of Select Hickory 16 of Other Hickory 16 of Basswood 16 of Beech 16 of Yellow Birch 16 of Hard Maple 16 of Soft Maple 16 of Elm 16 of Black Ash 16 of White-Green Ash 16 of Sycamore 16 of Cottonwood 16 of Willow 16 of Hackberry 16 of Balsam Poplar 16 of Bigtooth Aspen 16 of Quaking Aspen 16 of Paper Birch 16 of River Birch 16 of Sweetgum 16 of Tupelo 16 (Continued on next page)
24
INDEX Variable name SG43 SG44 SG45 SG46 SG47 SG48 SG49 SG50 SHRUBSP SHUSPL SISPP SITECLS SITEIND SLOPE SOILCLS SOUND SPECIES SPPSI STATE STDAGE STDAREA STDHIST STDORG SURDATE SZDNCUR SZDNORG SZDNPRJ TOWNSHIP TRCLS TRHIST TRNUM TRNUM TRSIND TRSZCLS UNTCO USEAREA USEPOST USESET UTMEAST UTMNORTH UTMZONE UTREND YRSADD Record number 2 2 2 2 2 2 2 2 4 5 2 2 2 2 1 3 3 6 1 2 2 1 2 1 2 2 2 1 3 3 3 6 3 3 1 l 1 i 1 1 1 1 6 Variable number C50. C51° C52o C53, C54o C55o C56o C57o R2, R2. R28_ R27_ C5o RIIo Rlgo R8o R4o R3_ RI. R25o R34_ RI0_ RI30 RI3. R21_ R24o R22° R25, RI5o R2° RIo RIo R24o R22, CIo RI7. RI8. RI6. R24o R23. R22. R9_ R6. Definit ion Presence or Absence Presence or Absence Presence or Absence Presence or Absence Presence or Absence Presence or Absence Presence or Absence Presence or Absence Shrub Species-Tall Shrub Species-Low Site Index Species Site Class Site Index Slope Angle at Plot Soil Classification Soundness Code Tree Species Species Site Index State Code Stand Age Stand Area Stand History Stand Origin Survey Date of Black Cherry of Black Walnut of Butternut of of of of of yellow Poplar (not assigned) (not assigned) Other Hardwoods Noncommercial Pase 16 16 16 16 16 16 16 16 20 20 14 14 14 13 ii 17 17 21 9 14 15 I0 13 i0 14 14 14 11 18 17 17 21 19 19 9 II ii I0 II II 11 I0 21
Center
Tree
Current Stand Size-Density Original Stand Size-Density Projected Stand Size-Density Township Tree Class Tree History-Status Tree Number Tree Number Tree Site Index Tree Size Class Unit and County Use Area-Recreation Use Posted-Recreation Use Setting-Recreation UTM Easting To Nearest i000 Meters UTM Northing To Nearest I000 Meters UTM Zone Code Use Trend Years Added to DBH Age for Total Age
25
!
SECTION
Ill.--STORED
PROCEDURES
We
have
created
three
families
of
proce-
_ ili iii ! _ii !i ) ll _
The Procedure File is a part of a SIR data base. "This file contains members which may be texts of commands, data or anything a user wishes to store with the data base. Typically, these texts will be frequently used SIR retrieval programs or other SIR command sequences, "Each member in the Procedure File is tified by a member name and, optionally, a ily name. Members are said to belong to a ily and must have a unique name within the ily._'(Robinson et al. 1980). idenfamfamfam-
ii
dures that we believe will be useful to users: COEF, LABEL, and VOLUME° Family COgF contains the coefficients needed to compute gross and net volumes using the equations presented by Hahn 1984, Smith and Weist 1982, Hahn 1976, Hahn 1975 Family LABEL contains procedures useful in making tables indexed by various data items. Family VOLUME contains the procedures for computing volumes in board feet, cubic feet or green tons°
l;i
ii
COEF.BDFT: T COEF.CUFT:T COEF.CUSL:T COEF.GRTONS:T COEF_HEIGHT:T VOLUME.BDFT20:T VOLUME.BDFT31:T VOLUME.CUFT20:T VOLUME_CUFT30:T VOLUME.CUFT40:T VOLUME GRTONS:T VOLUME.HEIGHT'T These volume procedures compute the gross and net cubic or board foot volume for the indicated tree class from the tree d.b.h, top diameter outside bark and species group. They are implemented by CALL VOLUME.xxxxxx(Dbh,tdob,sp°gp.) Computes biomass in green tons Computes total or merchantable height.
i
_i
_i
i ;i
!: ii,
26
Procedure LABEL. BACLAS$ :T
Description Computes an index basal area using
and
labels
in variable BACUR. in variable CUNCOND. in variables class
BACLS
for stand
the variable and labels
LABEL_CONUNS:T
Computes understory
an index using an index for
CONUN
for conifer
the variable and labels
LABELoDBHCLS:T
Computes
DIACLSI,
DIACLS5,
and DIACLS9 DBHCUR. LABELoDEATH:T Computes death LABEL. LANDCLS :T
2-inch
diameter
using
the variable
an index
and
labels
in variable
DEATH
for cause
of
using
the variable and
DAMDETH. in variable GLUCUR LANDUSE for ground
Computes
an index
labels
land use using LABEL.LIVE:T Computes history LABEL.LOGGRD:T Computes grade LABEL.OWNER:T
the variables and labels using
and FORTCUR. LIVE for tree
an index of live
in variable the variable _.nvariable
trees
TRHISTCU. LOGGRD for tree log
an index
and labels
using
the variable
LOGGR. in variable OWNGPo In variable SITEIND. in variables species SPECIEC and and SICLS for stand OWNER for stand
Computes owner
an index using
and labels the variable and labels the variable and labels tree
class
LABEL. SICLS :T
Computes site
an index using
index
LABEL_SPECIES:T
Computes SPECIESN
an index for
individual species,
of commercial using
noncommercial SPECIES o LABEL.STCLGR:T Computes basal LABELoSTDAGE:T
respectively,
the variable
an index using
and
labels
in variable BACURo in variable
BACLS
for stand
area
the variable and labels STDAGE.
Computes age using
an index the
STDAGECL
for stand
variable
LABELoSTDVOL:T
Computes volume
an index using
and
labels
in variable GSCUVS
STDVOLCL
for stand
class
the variables and labels
and GSCUVH. SWDHWD for major
LABELoSWDHWD:T
Computes tree
an index group
in variable
species
using and
the variable
SPECIES. TRCLASS for tree
LABELoTRCLASS:T
Computes class
an index
labels
in variable
using
the variable
TRCLS_
27
LABEL_TYPESZ:T
Computes
an index type
and
labels
in variables class_
FORTYPE
and
SZCLS the
ili
for forest variables LABEL°UICOUNTY:T LABEL_U2COUNTY:T LABEL.U3COUNTY:T LABEL.U4COUNTY:T LABEL. U5COUNTY :T
and
stand
size
respectively,
using
FORTCUR
and
SZDNCUR.
These procedures compute an index and labels in variable COUNTY for county code using the variable UNTCO.
i
28
SECTION
IVo--EXAMPLE
RETRIEVALS
printer. basically
This part of the submit file will the same for all retrievals_ For
be in-
The following is a simple retrieval that will produce a table of area of commercial forest land by ownership group and forest type for a five-county area in central Wisconsin. The submit file shown below has two main parts, the Cyber control statements and the SIR retrieval statements. The Cyber control statements are the first part of the file, up through "/EOR" statement_ These statements identify the user number, set time limits, execute SIR, save output files, and send the output files to the
*********************************************************************************
formation on these commands, see the University of Minnesota Computer Center User's Manual° The remainder of the submit file contains SIR retrieval statements that are used to retrieve the needed data and construct the output table. This part of the submit file will be different for every retrieval. For information on these commands, see the SIR Version 2 User's Manual and SIR/DBMS TABLE Procedure Reference Guide.
/JOB /NOSEQ MHH, T 20.
/USER
FETCH, SIRo SIRo RETAIN, EXAM ITB. GOFO, COST. EXIT COST. DAYF I LE. RETAIN, OUTPUT=EXAM lOT. ROUTE, OUTPUT, DC=PR, T ID=BC, B IN=R69, EC=A9. ROUTE, EXAM IOT, DC=PR, T ID=BC, BIN=R69, EC=A9.
/EOR
OLD FILE PAS SWORD SECURITY PAGES IZE RETRIEVAL PROCESS CASE INCLUDE WISSOU WI S SOU WISSOU ,WISSOU 63 ,89 LIST = 300000 THRU 399999
FORTYPE, OWNGP, EXPAREA
o .
IF
(GLUCUR
GT 22) NEXT CASE 301 OR 308 OR 310 OR 311 OR 312 ) NEXT CASE
IFNOT (UNTCO EQ PROCESS REC 2
o MOVE VARS OWNGP,EXPAREA o CALL LABEL.TYPESZ . END PROCESS REC . PERFORM PROCS END PROCESS CASE TABLE FORTYPE.T, OWNGP_T BY EXPAREA.O/ F ILENAME =EXAM ITB / PAGELENGTH=63 /PAGEW IDTH= 89/HEADE RWI DTH= 12/ STUBTITLE = 'Forest type'/ WAFERT ITLE = _Example l.--Area of commercial forest land by ownership' 'and forest type, Adams, Marquette, Portage, Waupaca, and' tWaushara counties, Wisconsin, 1983.' 'North Central Forest Experiment Station FI&A Data Base o'
! !
(In acres)'/ NOOVE RPRINT ING/NOBOLDPRINT END RETRIEVAL FINISH
ING
29
The EXAMITB.
following
table
was
produced
by this
retrieval
and retained
in the
file
************************************************************************************
/DBMS Table
Procedure Example and l.--Area of commercial forest land by ownership Waupaca, 1983. FI&A Data
Page
1
forest
type, Adams, Waushara
Marquette,
Portage,
and
counties, Experiment
Wisconsin, Station
North
Central
Forest
Base.
(In acres) TOTAL Forest type Area TOTM ................ Jack pine ........... Red pine ............ White pine ........... Balsam fir .......... White spruce ........ Black spruce ........ Northern white-cedar Tamarack ............ Oak-hickory ......... Elm-ash-soft maple.. Maple-birch ......... Aspen ............... Paper birch ......... Exotic .............. Nonstocked .......... expander 821100 51500 85700 25100 7200 0 0 13900 13700 290300 100400 103400 91100 18300 2200 18300 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Area expander 31600 0 0 2300 0 0 0 0 0 11500 2200 4400 11200 0 0 0 789500 51500 85700 22800 7200 0 0 13900 13700 278800 98200 99000 79900 18300 2200 18300 National forest Other public Private
30
The EXAM IOT.
following
listing
was produced
in example
i and retained
in the file
R / D B M S
2 . i _ i
(SIR/DBMS WISSOU XXXXXXXXXXXXXXX XXXXXXXXXKXXXXX 63 ,89 LIST
2.1.1)
01/12/84
].6:15:52
PAGE
1
5
OLD FILE PASSWORD SECURITY PAGES IZE RETRIEVAL PROCESS CASE
= 300000
THRU
399999
i0
INCLUDE FORTYPE, OWNGP, EXPAREA IF (GLUCUR GT 22) NEXT CASE . IFNOT (UNTCO EQ 301 OR 308 OR 310 OR 311 OR . PROCESS REC 2 o . . MOVE VARS OWNGP, EXPAREA CALL LABEL. TYPESZ RECODE FORTYPE=FORTCUR(
312
) NEXT
CASE
i. I0 i.20 1o 30 1.40 I.50 1.60 i.70 1.80 1.90 1.i00 1.Ii0 i.]20 1.130 1.140 1.150 1.160 1.170 1.180 1.190 1.200 1.210 1.220 1.230 1.240 1.250 1.260 1.270 1.280
_ o
IF COMPUTE VAR RANGES VAR LABELS VALUE LABELS
. .
I=I)(2=2) (3=3) (6=14) (13=4) (12=6) (16=5)(14=7) (15=8)(50=9)(70=10) (80=11)(91=12) (92=13) (SZDNCUR EQ 40) FORTYPE = 15 STDSZCLS = TRUNC(SZDNCUR/10) STDSZCLS( I,4)/ FORTYPE (i, 15) STDSZCLS Stand size class/ FORTYPE STDSZCLS Forest type (i) Sawtimber (2) Poletimber (3) Sapling & seedling (4) Nonstocked/ (I) Jack pine (2) Red pine (3) White pine (4) Balsam fir (5) White spruce (6) Black spruce (7) Northern white-cedar (8) Tamarack (9) Oak-hickory (I0) Elm-ash-soft maple (11) Maple-birch (12) Aspen (13) Paper birch (14) Exotic (15) Nonstocked
FORTYPE
15
, END PROCESS REC . PERFORM PROCS END PROCESS CASE TABLE FORTYPE.T, OWNGP.T BY EXPAREA.O/
20
F I LENAiME=EXAM ITB / PAGELENGTH=63/PAGEWIDTH=89 /HEADERWIDTH = 12/ STUBTITLE = 'Forest type'/ WAFE RT ITLE = 'Example l.--Area of commercial forest land by ownership' 'and forest type, Adams, Marquette, Portage, Waupaca, and' 'Waushara counties, Wisconsin, 1983.' 'North Central Forest Experiment Station FI&A Data Base.' ' ' '(In acres)'/ NOOVE RPRINT ING/NOBOLDP END RETRIEVAL FINISH RINT ING
25
31
FULL
DAYFILE.
84/01/12.
16.19.19.*
AKZIBDK*
PAGE
1
AKZIBDK. 84/01/12.UOFM CYBER A (01/02-BO). 16.15.44.MHH,T20. 16.15.44. $USER(WXL6007, ) 16.15.44. FAMILY PARAMETER MISSING. FAMILY 16.15.46.FETCH,SiR. 16.15.52.SIR. 16.15.53.*** REMARK 16.15.55.*** REMARK 16.15.55.*** REMARK 16.15.56.*** REMARK 16.16.05.*** REMARK 16.19.17.*** REMARK 16.19.18.*** REMARK 16.19.189"** REMARK 16.19.18.*** REMARK 16.19.18.*** REMARK 16.19.18.*** REMARK 16.19.18.*** REMARK
CA ASSUMED.
*** *** *** *** *** *** *** *** *** *** *** ***
BEGIN SIR/DBMS 2.1.1 RUN. TASK TABLE SPACE USED: 126 TOTAL CPU TIME USED (MS): 37 START RETRIEVAL TRANSLATION. START RETRIEVAL EXECUTION. RETRIEVAL COMPLETE. TASK TABLE SPACE USED: 4355 TOTAL CPU TIME USED (MS): 7845 END SIR RUN: 0 TOTAL CPU TIME (MS): 7855 TABLE SPACE USED: 4355 FIELD LENGTH USED: 36800
16.19.19. RETAIN,EXAMITB. 16.19.19. EXAMITB PURGED. 16.19.19. PERMANENT FILE EXAMITB, 7 PRUS. 16.19.19. GOFO,COST. 16.19.19.COST. 16.19.19. ACCUMULATED JOB COST - UNIVERSITY 16.19.19. CP 7.906 SEC. 16.19.19. MS 57.732 KUN. 16.19.19. PF .108 KUN. 16.19.]9. CM 69.470 KWD. 16.19.19. SR 21.555 UNS. 16.19.19. CURRENT JOB COST = $ 3.23 16.19.19.DAYFILE.
RATE.
*******************************************************************************
Exa_ple
I.
This is a simple retrieval that produces a commonly requested table for a specific area. The retrieval uses the PROCESS CASE command to restrict the retrieval to the desired forest survey unit. An IF statement is used to further restrict the retrieval to only commercial forest land and an IFNOT statement is used to restrict it to the desired five-county area. Becasuse the retrieval requires only data stored in record type 2 , only that record is accessed. Two of the variables required to construct the table (OWNGP and AREA EXP) are stored as needed in the data base and can be moved to the summary record with a MOVE VARS command. A stored procedure TYPESZ is called to compute FORTYPE from FORTCUR to reduce the space needed to produce the output table. The cost shown for this example is based on daytime rates for university or affiliated users. Higher rates are charged to private and corporate users; lower rates are charged for jobs submitted to be run in the evening or overnight. Two more example retrievals follow. Although these retrievals are more complicated, they are basically extensions of the first example. Only the SIR retrieval statements section of the submit file are shown for these examples because the Cyber control statements do not differ.
32
Example
2_
This retrieval produces two different outputs, a table and a data file, for a single county. The table presents number of ground plots, area of commercial forest land, and average softwood and hardwood volume per acre by forest type. The data file contains two types of records: (i) a plot record that is identified by a 1 in the first column and (2) tree records that have a 2 in column orle ******************************************************************************** OLD FILE PASSWORD SECURITY PAGESIZE RETRIEVAL PROCESS CASE INCLUDE o , WISSOU WISSOU WI SSOU, WI S SOU 63,89 LIST = 300000 THRU 399999
IDENT, FO RTCUR, EXPAREA, OWNGP, SITE IND, TRNUM, DBHCUR, TRH I ST, NC SPGP, EXPAND R,GSCUVS, GSCUVH IFNOT (UNTCO EQ 302) NEXT CASE IF (GLUCUR GT 22) NEXT CASE PROCESS REC 2
, MOVE VARS IDENT_FORTCUR,OWNGP,SITEIND,GSCUVS,GSCUVH,EXPAREA COMMENT ................. COMPUTE FOREST TYPE ==.................. , CALL LABEL,TYPESZ COMMENT ROUND ACRES FOR TABLE . COMPUTE MACRE S = RND (EXPAREA/i00) /i0 VAR LABEL MACRES Area (Thousand acres)/ COMMENT GENERATE A PLOT RECORD . 'I ' IDENT (16), UNTCO (13), O_GP (13), SITEIND (15) END PROCESS REC PROCESS REC 3 VARS WRITE FORTCUR (14), EXPAREA (17),
°
. MOVE COMMENT WRITE
IDENT, TRNUM, DBHCUR, TRHI ST, NCSPGP, EXPANDR GENERATE A TREE RECORD (13),
'2 _ IDENT (16), TRNUM (15), DBHCUR (F5.1), TRHIST NCSPGP (13), EXPANDR (13) END PROCESS REC PERFORM PROCS END PROCESS CASE TABLE FORTYPE THEN TOTFT, N THEN MACRES.O THEN (GSCUVS THEN GSCUVH) F ILENAME =EXAM 2T B / PRINTFOP_.MAT = N(C,0) MACRES(C,I) CSUVS(C,O) GSCUVH(C,0)/ TOTAL = N 'Number of plots' TOTFT 'All types'/ MEAN = MEAN '(cubic feet per acre)'/ PAGETITLE = 'Example 2. '/ PAGELENGT H = 63/ PAGEWiDTH = 89/ HEADERDIVIDER = ' '/ STUBDIVIDER = _-'/ STUBFILLER = ' '/ HEADERWIDTH = 12/ STUBTITLE = 'Forest WAFERTITLE = type'/ land,'
BY MEAN/
'Example 2o--Number of plots, area of commercial forest _and average softwood and hardwood volume per acre,' 'Chippewa County, Wisconsin, 1983'/ NOLE FTBORDER/NORIGHT BORDER/ NOZEROS/NOEMPTYROWS / NOOVERPRINT ING/NOBOLDPRINT END RETRIEVAL FINISH ING
33
The EXAM2TB.
following
table
was
produced
by this
retrieval
and retained
in the file
******************************************************************************* Example 2. Example 2.--Number of plots, area of commercial forest land, and average softwood and hardwood volume per acre, Chippewa County, Wisconsin, 1983 Growing stock cubic foot volume softwood (cubic feet Growing stock cubic foot volume hardwood (cubic per feet Page 1
Number plots Forest type
of
Area (Thousand acres)
per acre) Jack pine White pine Black spruce Tamarack Oak-hickory Elm-ash-soft Maple-birch Aspen Paper birch Nonstocked All The EXAM2OT. this t_pes following The data listing was maple i 2 I 3 Ii 16 32 19 6 1 92 produced 2.5 5.0 2.4 7.3 27.1 39.4 77.8 47.0 14.7 2.5 225.7 in example 2 and 631 1496 72 520 87 15 31 34 114 95 retained
acre)
148 263 1,071 596 938 1,040 749 133 835 in the file and is part of
file was Only
written
by the
two WRITE file
statements
output
file.
a portion
of the
data
is shown•
S I R / D B M S
2 . I . i
(SIR/DBMS
2.1.1)
01/23/84
16:25:07
PAGE
1
5
OLD FILE PASSWORD SECURITY PAGESIZE RETRIEVAL PROCESS CASE INCLUDE
WlSSOU XXXXXXXXXXXXXXX XXXXXXXXXXXXXXX 63,89
I0
i.i0 1.20 1.30 1.40 1.50 1.60 1.70 1.80 1.90 1.100 i.ii0
.
. . . .
LIST = 300000 THRU 399999 IDENT,FORTCUR,EXPAREA,OWNGP,SITEIND, TRNUM,DBHCUR,TRHIST,NCSPGP,EXPANDR,GSCUVS,GSCUVH • IFNOT (UNTCO EQ 302) NEXT CASE . IF (GLUCUR GT 22) NEXT CASE • PROCESS REC 2 • MOVE VARS IDENT,FORTCUR,OWNGP,SITEIND,GSCUVS,GSCUVH,EXPAREA COMMENT .......... COMPUTE FOREST TYPE .................... • CALL LABEL.TYPESZ • CALL LABEL.TYPESZ RECODE FORTYPE=FORTCUR(I=I)(2=2)(3=3)(6=14)(13=4)(12=6) (16=5)(14=7)(15=8)(50=9)(70=10) (80=11)(91=12)(92=13) IF (SZDNCUR Ee 40) FORTYPE = 15 COMPUTE STDSZCLS = TRUNC(SZDNCUR/10) VAR RANGES STDSZCLS(I,4)/ FORTYPE(I,15) VAR LABELS STDSZCLS Stand size class/ FORTYPE Forest type VALUE LABELS STDSZCLS (I) Sawtimber (2) Poletimber
34
io120 .1.130 1,140 1o150 1,160 1,170 Io180 i_190 I_200 1.210 Io220 1,230 i_240 1.250 I_260 io270 1,280 15
FORTYPE
(3) Sapling & seedling (4) Nonstocked/ (I) Jack pine (2) Red pine (3) White pine (4) Balsam fir (5) White spruce (6) Black spruce (7) Northern white-cedar (8) Tamarack (9) Oak-hickory (i0) Elm-ash-soft maple (ii) Maple-birch (12) Aspen (13) Paper birch (14) Exotic (15) Nonstocked
COMMENT . COMPUTE VAR LABEL COMMENT o WRITE . END PROCESS . PROCESS REC . MOVE VARS COMMENT
20
ROUND ACRES FOR ]?ABLE --MACRE S = RND (EXPAREA/i00) / I0 MACRES Area (Thousand acres)/ GENERATE A PLOT RECORD 'i ' IDENT (16), UNTCO (13), FORTCUR (14), EXPAREA OWNGP (13), SITEIND (15) REC 3 IDENT ,TRNUM,DBHCUR,TRHIST ,NCSPGP ,EXPANDR GENERATE A TREE RECORD (F5.1), TRHIST
(17),
25
'2 ' IDENT (16), TRNUM (15), DBHCUR NCSPGP (13), EXPANDR (13) . END PROCESS REC . PERFORM PROCS END PROCESS CASE TABLE
.
WRITE
(13),
30
35
40
FORTYPE THEN TOTFT, N THEN MACRES.O THEN (GSCUVS THEN GSCUVH) F ILENAME =EXAM 2TB / PRINTFORMAT = N(C,0) MACRES(C, I) CSUVS(C,0) GSCUVH(C,0)/ TOTAL = N 'Number of plots' TOTFT 'All types'/ MEAN = MEAN '(cubic feet per acre)'/ PAGETITLE = 'Example 2.'/ PAGELENGTH = 63/ PAGEWIDTH = 89 / HEADERDIVIDER = ' '/ STUBDIVIDER = '-'/ STUBFILLER = ' '/ HE_DERWIDTH = 12/ STUBTITLE = 'Forest type'/ WAFE RTITLE = land,'
BY MEAN/
'Example 2.--Number of plots, area of commercial forest 'and average softwood and hardwood volume per acre,' 'Chippewa County, Wisconsin, 1983'/ NOLEFTBORDER/NORIGHTBORDE R/ NOZE ROS/NOEMPTYROWS / NOOVE RP RINT ING/NOBOLDPRINT ING 50 END RETRIEVAL 1 300197302 50 2500 4 84 2 300197 I01 6.0 1 20 19 2 300197 102 4.3 1 20100 2 300197 201 13.3 I 38 4 2 300197 202 7.3 1 21 13 2 300197 203 6.0 1 18 19 2 300197 301 13.9 1 38 4 2 300197 302 9.1 I 21 8 2 300197 401 1.5 2 50 0 2 300197 402 I. 7 2 50 0 45
1 354220302
91
2400
4
64
35
2 354220 2 2 2 2 2 354220 354220 354220 354220 354220
i01 102 201 301 302 303 401 402 601 701 702 703 704 705 706 707 801
0°0 0.0 1.0 0.0 0.0 0.0
31 38100 31 31 31 31 31 38100 381100 38100 38100 38100 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 354220 2 354220 2 354220 2 354220 2 354220 2 2 2 2 354220 354220 354220 354220
0.0 31 38 2.2 31 38 1.6 61 38 0.0 0.0 0.0 0.0 0.0 0.0 31 38 31 38 31 31 31 31 38 38 38 38
2 354220 2 354220 2 354220 2 354220 2 354220
0.0 31 38 1.7 61 38
901 0.0 31 39 902 0.0 31 28 903 0.0 31 28 FINISH
******************************************************************************* This processing example time, was run and cost at normal $4.21 rates, used 10.995 rates. seconds of central
at university
i
Example 3.
The
following area
retrieval defined
extracts
the
data
for all
plots
located
in a
geographic Transverse of arrays, area
as a circle
or a convex This
polygon,
using also
Universal the use
Mercator a FOR
(UTM)
coordinates. loop
retrieval data
demonstrates
loop,
and a WHILE
to extract Only using the
for a pentagon-shaped is shown; plots and any
in the Upper tables
Peninsula could
of Michigan.
retrieval
appropriate previously
be constructed procedures.
the selected
the
described
TABLE
OLD FILE PASSWORD SECURITY PAGES IZE RETRIEVAL CALL COEF. HE IGHT CALL COEF.CUFT EXCLUDE
MICHUP MICHUP MICHUP ,MICHUP 58 ,136
COMMENT
Procedure
C2AI TO C2A50,C2B1 TO C2B50,C2C1 TO C4CI TO C4C50,HTAI TO HTAS0,HTBI TO HTDI TO HTD50,HTE1 TO HTE50,HTF1 TO to determine if a given UTM location
C2C50,C3CI HTBS0,HTCI HTF50 is within
TO C3C50, TO HTC50,
a specified variables NCORNER
circle are used.
or convex
polygon.
The
following
= The
number
of sides(corners/vertices) = 1 a circle retrieval
of the
polygon. if NCORNER
If NCORNER
is assumed. is assumed.
= 0 a county
36
NZONE XCORDI
= The UTM zone TO XCORDIO = Up coordinate
for the supplied coordinates. to I0 values for the EASTING of the verticies. for the NORTHING
of each
YCORDI
TO YCORDI0
= Up
to I0 values
coordinate If NCORNER = I XCORDI,
of each YCORDI
of the verticieso is the coordinate of
the center NCORNER = 0 XCORD
of the circle° Unit,County(UNTCO) codes
contains
for counties contains RADIUS = Radius of the
to be retrieved
and RADIUS to be retrieved, for a circle for a county
the number circle
of counties
in kilometers of counties
retrieval retrieval, SET
or the number
COMMENT
Enter data
NCORNER,RADIUS,XCORDI TO XCORDI0,YCORDI TO YCORDI0, XMAX,XMIN,YMAX,YMIN,XTI TO XT3,YTI TO YTB,AI TO A3, B1 TO B3,VI TO V3(0) to define search area. NCORNER = 5 ; RADIUS = 80 ; NZONE = 16
COMPUTE
COMMENT .
Enter YCORD COMPUTE
o
IFTHEN
coordinates of verticies XCORD are Easting are northing. XCORD 1 = 323 ;YCORDI = 5194, XCORD2 = 350 ;YCORD2 = 5160, XCORD3 = 330 ;YCORD3 = 5101, XCORD4 = 200 ;YCORD4 = 5140, XCORD5 = 290;YCORD5 = 5180, XCORD6 = 0 ;YCORD6 = 0, XCORD 7 = 0 ;YCORD7 = 0, XCORD8 = 0 ;YCORD8 = 0 XCORD9 = O;YCORD9 = 0 XCORDI0 = O;YCORDI0= 0 (NCORNER GE 3) square containing subject polygon. Y_MAX = XCORDI ; YMAX = YCORDI ; XMIN = XCORDI ; YMIN = YCORDI I = 2,NCORNER XTEST = XCORDI TO XCORDI0(1); YTEST = YCORDI TO YCORDI0(I) (XTEST GT XMAX) XMAX = XTEST (XTEST LT XMIN) XMIN = XTEST (YTEST GT YMAX) YMAX = YTEST (YTEST LT YMIN) YMIN = YTEST
and
COMMENT Define o COMPUTE . . o , . , . ° o FOR COMPUTE IF IF IF IF END FOR ELSE ENDiF
SET NPLTS ,NTRS, NSUM(0) PROCESS CASES SAMPLE = . 20,31 COMMENT Select commercial forest plots . IFNOT (GLUCUR LE 29) NEXT . PROCESS REC 1 , . COMPUTE MOVE VARS UTME=UTMEAST UNTCO
only. CASE
;UTMN=UTMNORTH
COMMENT OUT = 1 is true; 0 is false. . IFTHEN (NCORNER EQ O)
37
COMMENT Search . COMPUTE . . . FOR IF END FOR
is a county retrieval• OUT = 1 I = 1,RADIUS (UNTCO EQ XCORDI (NCORNER EQ I) is a circle• used for TO XCORDI0(1)) OUT = 0
. ELSEIF COMMENT Search
area
. . • . • • • • • • • •
Correct casting for zone change• 460 kilometers northern Michigan and Wisconsin. IFTHEN (UTMZONE NE NZONE) IFTHEN (UTMZONE LT NZONE) COMPUTE UTME = UTME - 460 ELSE COMPUTE UTME = UTME + 460 END 1F ELSE ENDIF COMPUTE OUT = 1 COMPUTE IF ELSE DISTANCE ((RADIUS
= (UTME-XCORDI)**2 + (UTMN-YCORDI)**2 - DISTANCE) GE 0.0) OUT = 0
COMMENT
• . • . • • • •
Search area is a polygon• Correct easting for zone change. northern Michigan and Wisconsin• IFTHEN (UTMZONE NE NZONE) IFTHEN (UTMZONE LT NZONE) COMPUTE UTME = UTME - 460 ELSE COMPUTE ENDIF ELSE ENDIF IFTHEN COMPUTE ELSE COMPUTE UTME = UTME + 460
460 kilometers
used
for
(UTME GT XMAX UTMN GT YMAX OUT = 1
OR UTME OR UTMN
LT XMIN OR LT YMIN)
OUT = I; ICOUNT = O; NCORNERT = NCORNER-2 (ICOUNT LT NCORNERT AND OUT EQ I) ICOUNT = ICOUNT + I ; ICOUNI = ICOUNT + I; ICOUN2 = ICOUNT + 2; XTI = XCORDI; XT2 = XCORDI TO XCORDI0(ICOUNI); XT3 = XCORDI TO XCORDI0(ICOUN2); YTI = YCORDI; YT2 = YCORDI TO YCORDI0(ICOUNI); YT3 = YCORDI TO YCORDI0(ICOUN2); A1 = (YT3-YT2) / (XT2*YT3 -XT3*YT2); A2 = (YT3-YTI) / (XTI*YT3XT3*YTI); A3 = (YT2-YTI) / (XTI*YT2XT2*YTI); B1 = (XT3-XT2) / (XT2*YT3XT3*YT2); B2 = (XT3-XTI) / (XTI*YT3XT3*YTI); B3 = (XT2-XTI) / (XTI*YT2XT2*YTI); V1 = (AI*UTME + BI*UTMN1.0) * (AI*XTI + BI*YTI - 1.0); V2 = (A2*UTME + B2*UTMN1.0) * (A2*XT2 + B2*YT2 - 1.0); V3 = (A3*UTME + B3*UTMN - 1.0) * (A3*XT3 + B3*YT3 - 1.0) (VI GE 0.0 AND V2 GE 0.0 AND V3 GE 0•0) OUT
•
WHILE COMPUTE
•
IF END WHILE ENDIF ENDIF
= 0
COMMENT If plot is not in specified region IFNOT (OUT EQ 0) NEXT CASE END PROCESS REC PROCESS REC 2 . MOVE VARS BACUR, SITEIND
reject
case.
38
o
END PROCESS REC PROCESS REC 3 STATUS = MOD (TRH!ST, i0) trees only (STATUS LE 2) NEXT REC pole sized and larger trees only (TRSZCLS GE 2) NEXT REC NTRS = NTRS + 1 (TRCLS LE 20) CUFTORG = 0.0 live
. COMPUTE COMMENT Select . IFNOT COMMENT Select . IFNOT COMPUTE IFTHEN . COMPUTE CALL .
VOLUME. CUFT 20 (DBHORG, 4.0, NCSPGP ) COMPUTE CUFTORG = CUFTNET
CALL VOLUME. CUFT 20 (DBHCUR, 4.0, NCSPGP ) COMMENT Compute net growth . COMPUTE NETGRO = ( (CUFTNET-CUFTORG)*EXPANDR-CUFTNET*MORTFAC)*EXPAREA . CALL . CALL . ELSEIF (TRCLS EQ 40) VOLUME. CUFT40 (DBHCUR, 4.0 ,NCSPGP) ELSE VOLUME. CUFT 30 (DBHCUR, 4.0, NCSPGP ) ENDIF number of trees NUMT RS = EXPANDR*EXPAREA
COMMENT Compute o COMPUTE
COMMENT Compute cubic foot volume . COMPUTE NETVOL = CU FTN ET*EXPANDR*EXPAREA . COMPUTE NSUM = NSUM + 1 • PERFORM PROCS o END PROCESS REC END PROCESS CASES BLANK LINES i0 COMMENT List records processed in retrieval WRITE 10X'PLOTS PROCESSED = ',NPLTS/10X,'TREES /10X'SUMMARY RECORDS = ',NSUM PROCESSED = ',NTRS
39
APPENDIX
A. --DEF IN ITION OF CODES
Codes
for variable
CI UNTCO State code = 26 and name (I) MICHUP Code County name Code County name Code County name
State = Michigan Data base number Code County name
Eastern Upper (I01) Alger (105) Mackinac Western Upper (201) Baraga (205) Iron Data base
Peninsula (102) Chippewa (106) Menominee Peninsula (202) (206) and name
(103) (107)
Delta Schoolcraft
(104) Luce
Dickinson Keweenaw (II) MICHLP
(203) (207)
Gogebic Marquette
(204) Houghton (208) Ontonagon
number Lower
Northern (301) (305) (309) (313) (317) (321) (325) (329) (333)
Peninsula Alpena Benzie Crawford losco Leelanau Midland Oceana Otsego (303) (307) (311) (315) (319) (323) (327) (331) Antrim Charlevoix Emmet Isabella Manistee Missaukee Ogemaw Presque Isle (304) (308) (312) (316) (320) Arenac Cheboygan Gladwin Kalkaska Mason
Alcona (302) Bay (306) Clare (310) Grand Traverse(314) Lake (318) Mecosta Newaygo Oscoda Wexford Lower (322) (326) (330)
(324) Montmorency (328) Osceola (332) Roscommon
Southern (401) (405) (409) (413) (417) (421) (425) (429) (433)
Peninsula (402) (406) (410) (414) (418) (422) (426) (430) (434) State and name Barry Cass Gratiot Ionia Lapeer Monroe Ottawa Sanilac Washtenaw code = 55 (III) WISNOR (403) (407) (411) (415) (419) (423) (427) (431) (435) Berrien Clinton Hillsdale Jackson Lenawee Montcalm Saginaw Shiawassee Wayne (404) (408) (412) Branch Eaton Huron
Allegan Calhoun Genesee Ingham Kent Macomb Oakland St. Joseph Van Buren
(416) Kalamazoo (420) Livingston (424) Muskegon (428) St. Clair (432) Tuscola
State = Wisconsin Data base number Northeast Unit
(I01) Florence (105) Menominee (109) Shawano Northwest Unit
(102) (106) (II0)
Forest Marinatte Vilas
(103) (107)
Langlade Oconto
(104) (108)
Lincoln Oneida
(201) Ashland (205) Douglas (209) Rusk
(202) (206) (210)
Barton Iron Sawyer
(203) Bayfield (207) Polk (211) Taylor
(204) (208) (212)
Burnett Price Washburn
40
Code Data
County base
name
Code and name
County
name
Code
County
name
Code
County
name
number
(IV) WISSOU
Central
Unit (302) (306) (310) Chippewa Juneau Portage (303) Clark (307) (311) Marathon Waupaca (304) (308) (312) Eau Claire Marquette Waushara
(301) Adams (305) Jackson (309) Monroe (313) Wood Sout_hwest Unit (401) Buffalo (405) Iowa (409) Pierce (413) Tempeleau Southeast (501) (505) (509) (513) (517) (521) Unit
(402) Crawford (406) La Crosse (410) Richland (414) Vernon
(403) (407) (411)
Dunn Lafayette St. Croix
(404) Grant (408) Pepin (412) Sauk
Brown Dodge Green Lake Manitowoc Racine Washington
(502) Calumet (506) Door (510) Jefferson (514) Milwaukee (518) Rock (522) Waukesha code = 27 (V) MINNOR
(503) Columbia (507) Fond du Lac (511) Kenosha (515) Outagamie (519) Sheboygen (523) Winnebago
(504) (508) (512) (516) (520)
Dane Green Kewaunee Ozaukee Walworth
State = Minnesota State Data base number and name Aspen-Birch Unit
(i01) Carlton (105) St. Louis Northern (201) (205) (209) (212) Data Pine Unit
(102) Cook
(103) Koochiching
(104) Lake
Aitkin (202) Clearwater (206) Lake of the Woods Wadena base number and Unit (302) (306) (310) (314) (318) (322) (326) name
Becker Crow Wing
(203) Beltrami (207) Hubbard (210) Mahnomen
(204) (208) (211)
Cass Itasca Roseau
(VI) MINSOU
Central (301) (305) (309) (313) (317) (321) (325)
Hardwood
Anoka Dakota Hennepin Le Sueur Otter tail Scott Wabasha Unit
Benton Douglas Houston Mille Lacs Pine Sherburne Washington
(303) Carver (307) Fillmore (311) Isanti (315) Morrison (319) Ramsey (323) Stearns (327) Winona
(304) (308) (312) (316) (320) (324) (328)
Chisago Goodhue Kanabec Olmsted Rice Todd Wright
Prairie (401) (405) (409) (413) (417) (421) (425) (429) (433) (437) (441)
Big Stone Clay Freeborn Kittson McLeod Mower Norman Pope Rock Swift Wilkin
(402) (406) (410) (414) (418) (422) (426) (430) (434) (438) (442)
Blue Earth (403) Brown Cottonwood (407) Dodge Grant (411) Jackson Lac qui Parle (415) Lincoln Marshall (419) Martin Murray (423) Nicollet Pennington (427) Pipestone Red Lake (431) Redwood Sibley (435) Steele Traverse (439) Waseca Yellow Medicine
(404) (408) (412) (416) (420) (424) (428) (432) (436) (440)
Chippewa Fairbault Kandiyohi Lyon Meeker Nobles Polk Renville Stevens Watonwan
41
Code
Count_
name
Code
County
name
Code
Count_
name
Code
Count_
name
State = North Dakota State code = 38 Data base number and name (VII) NDAKOTA (I01) (105) (109) (113) (117) (121) (125) (129) (133) (137) (141) (145) (149) (153) Adams Bottineau Cass Dunn Golden Valley Hettinger McHenry Mercer Oliver Ransom Sargent Stark Traill Williams (102) (106) (ii0) (114) Barnes Bowman Cavalier Eddy (103) Benson (107) Burke (iii) Dickey (115) Emmons (119) (123) (127) (131) (135) (139) (143) (147) (151) Grant LaMoure McKenzie Mountrail Pierce Richland Sheridan Stutsman Ward (104) Billings (108) Burleigh (112) Divide (116) Foster (120) (124) (128) (132) Griggs Logan McLean Nelson
(118) Grand Forks (122) Kidder (126) Mclntosh (130) Morton (134) Pembina (138) Ren_ille (142) Slope (146) Steele (150) Walsh
(136) Ramsey (140) Rolette (144) Sioux (148) Towner (152) Wells
State = South Dakota State code = 46 Data base number and name (VIII) SDAKOTA Eastern Unit (102) (106) (ii0) (114) (118) (122) (126) (130) (134) (138) (142) (146) (150) (154) (158) (162) Beadle Brown Charles Corson Deuel Faulk Hamlin Hutchinson Jones Lyman Mead Woody Roberts Stanley Turner Yankton (103) (107) (IIi) (115) (119) (123) (127) (131) (135) (139) (143) (147) (151) (155) (159) (163) Bennet Brule Clark Custer Dewey Grant Hand Hyde Kingsbury Marshall Mellette Pennington Sanborn Sully Union Ziebach (104) (108) (112) (116) (120) (124) (128) (132) (136) (140) (144) (148) (152) (156) (160) Bon Homme Buffalo Clay Davison Douglas Gregory Hanson Jackson Lake McCook Miner Perkins Shannon Todd Walworth
(I01) Aurora (105) Brookings (109) Campbell (113) Codington (117) (12[) (125) (129) (133) (137) (141) (145) (149) (153) (157) (161) Day Edmunds Haakon Hughes Jerauld Lincoln McPherson Minnehaha Potter Spink Tripp Washabaugh
42
Code
County
name
Code
County
name
Code
County
name
Code
County
name
State = Nebraska Data base number Eastern Unit
State code = 31 and name (IX) NEBRASK
(i01) Adams (105) Butler (109) Colfax (113) (117) (121) (125) (129) (133) Dawson Fillmore Gage Hamilton Jefferson Madison
(102)
Boone
(103)
Buffalo
(104) (108) (112) (116) (120) (124) (128) (132) (136) (140) (144) (148) (152) (156)
Burt Clay Dakota Douglas Furnas Hall Howard Lancaster Nemaha Phelps Red Willow Saunders Thayer Wayne
(106) Cass (Ii0) Cuming (114) Dixon (118) Franklin (122) Gosper (126) Harlan (130) Johnson (134) Merrick (138) Otoe (142) Platte (146) Saline (150) Sherman (154) Valley (158) York
(107) Cedar (111) Custer (115) Dodge (119) Frontier (123) Greeley (127) Hitchcock (131) Kearney (135) Nance (139) (143) (147) (151) (155) Pawnee Polk Sarpy Stanton Washington
(137) Nuckolls (141) Pierce (145) Richardson (149) Seward (153) Thurston (157) Webster Western (201) (205) (209) (213) (217) (221) (225) (229) (233) Data Unit
Antelope Box Butte Cherry Dundy Hayes Keya Paha Logan Perkins Sioux base number Unit
(202) (206) (210) (214) (218) (222) (226) (230) (234) and name
Arthur Boyd Cheyenne Garden Holt Kimball Loup Rock Thomas (XI) IOWA
(203) (207) (211) (215) (219) (223) (227) (231) (235)
Banner Brown Dawes Garfield Hooker Knox McPherson Scotts Bluff Wheeler
(204) Blaine (208) Chase (212) Deuel (216) Grant (220) Keith (224) Lincoln (228) Morrill (232) Sheridan
Northeast
(101) Allamakee (105) Buchanan (109) (113) (117) (121) Clayton Fayette Jackson Mitchell Unit
(102) (106)
Benton Butler
(103) (107)
Black Cedar
Hawk
(104) (108) (112) (116) (120) (124)
Bremer Chicksaw Dubuque Howard Linn Winneshiek
(ii0) Clinton (114) Floyd (118) Johnson (122) Scott
(iii) Delaware (115) Grundy (119) Jones (123) Tama
Southeast (201) (205) (209) (213) (217) (221) (225)
Appanoose Davis Hamilton Jasper Louisa Marion Polk
(202) (206) (210) (214) (218) (222) (226) (230)
Boone Decatur Hardin Jefferson Lucas Marshall Poweshiek Warren
(203) Clark (207) Des Moines (211) Henry (215) Keokuk (219) Madison (223) Monroe (227) Story (231) Washington
(204) Dallas (208) Guthrie (212) Iowa (216) Lee (220) Mahaska (224) Muscatine (228) Van Buren (232) Wayne
(229) Wapello (233) Webster Southwest (301) Adair (305) Cass (309) Harrison (313) Page (317) Taylor Northwest (401) (405) (409) (413) (417) (421) Unit Unit
(302) (306) (310) (314) (318)
Adams Crawford Mills Pottawattami Union
(303) Audubon (307) Fremont (311) Monona (315) Ringgold (319) Woodbury
(304) (308) (312) (316)
Carroll Greene Montgomery Shelby
Buena Vista Clay Hancock Lyon Plymouth Winnebago
(402) Calhoun (406) Dickinson (410) Humboldt (414) O'Brien (418) Pocahontas (422) Worth
(403) (407) (411) (415) (419) (423)
Cerro Sordo Emmet Ida Osceola Sac Wright
(404) Cherokee (408) Franklin (412) Kossuth (416) Palo Alto (420) Sioux
43
Code
County
name
Code
County
name
Code
Count X name
Code
County
name
State = Missouri Data base number Eastern (i01) (105) (IO9) (113) Ozarks
State code = 29 and name (XII) MOZARK
Unit (102) (106) (Ii0) (114) Unit (202) (206) (210) Christian Newton Texas (203) Douglas (207) Ozark (211) Webster (204) (208) Howell Stone Butler Iron Ripley Wayne (103) Carter (107) Madison (111) St,Francois (104) Crawford (108) Oregon (112) Shannon
Bollinger Dent Reynolds Washington Ozarks
Southwest
(201) Barry (205) McDonald (209) Taney Northwest (301) (305) (309) (3i3) Data Ozarks
(212) Wright
Unit (302) Camden (306) Laclede (310) Phelps (303) Cedar (307) Maries (311) Polk (304) (308) (312) Dallas Miller Pulaski
Benton Hickory Morgan St. Clair base number
and
name
(XIII) MORBNW
Prairie (401) (405) (409) (413) (417) (421) (425) (429) (433) (437) (441)
Unit (402) Andrew (406) Bates (410) Cass (414) Clinton (418) De Kalb (422) Harrison (426) Jasper (430) Lawrence (434) Livingston (438) Monroe (442) Platte (446) (450) Ray Shelby (403) (407) (411) (415) (419) (423) (427) (431) (435) (439) (443) (447) (451) Atchison Buchanan Chariton Cooper Gentry Henry Johnson Lewis Macon Nodaway Putnam Saline Sullivan (404) (408) (412) (416) (420) (424) (428) (432) (436) (440) (444) Audrain Caldwell Clark Dade Greene Holt Knox Lincoln Marion Pettis Rallis
Adair Barton Carroll Clay Daviess Grundy Jackson Lafayette Linn Mercer Pike
(445) Randolph (449) Scotland (4.53) Worth Riverborder (501) Boone (505) Dunkin Unit
(448) Schuyler (452) Vernon
(502) (506)
Callaway Franklin Mississippi Osage Saint Louis Stoddard
(503) Cape Girardeau(504) (507) Gasconade (508)
Cole Howard
(509) Jefferson (510) (513) New Madrid (514) (517) Saint Charles (518) (520) Scott (521) (523) City of Saint Louis Southern Unit (102) (106) (Ii0) (114)
(511) Moniteau (512) Montgomery (515) Pemiscot (516) Perry (519) Sainte Genevie (522) Warren
(IDI) Alexander (105) Hardin (109) Perry (113) Saline Claypan Unit
Franklin Jackson Pope Union
(i03) Gallatin (107) Johnson (111) Pulaski (115) White
(104) Hamilton (108) Massac (112) Randolph (116) Williamson
(201) Bond (205) Clinton (209) (213) (217) (221) (225) Effingham Jefferson Madison Richland Washington
(202) (206)
Calhoun Crawford
(203) Clark (207) Cumberland (211) (215) (219) (223) Greene Lawrence Monroe Shelby
(204) (208)
Clay Edwards
(210) Fayette (214) Jersey (218) Marion (222) St. Clair (226) Wayne
(212) Jasper (216) Macoupin (220) Montgomery (224) Wabash
44
Code
County ham e Unit
Code
County
name
Code
County
name
Code
County
name
Prairie (301) (305) (309) (313) (317) (321) (325) (329) (333) (337) (341) (345) (349) (353) (357)
Adams Carroll Coles Douglas Fulton Henry Kankakee La Salle Macon McHenry Morgan Piatt Sangamon Stephenson Whiteside
(302) (306) (310) (314) (318) (322) (326) (330) (334) (338) (342) (346) (350) (354) (358)
Boone Cass Cook Dupage Grundy Iroquois Kendall Lee Marshall McLean Moultrie Pike Schuyler Tazewell Will
(303) (307) (311) (315) (319) (323) (327) (331) (335) (339) (343) (347) (351) (355) (359)
Brown Champaign De Kalb Edgar Hancock Jo Daviess Knox Livingston Mason Menard Ogle Putnam Scott Vermillion Winnebago
(304) (308) (312) (316) (320) (324) (328) (332) (336) (340) (344) (348) (352) (356) (360)
Bureau Christian Dewitt Ford Henderson Kane Lake Logan McDonough Mercer Peoria Rock Island Stark Warren Woodford
State = Indiana Data base number Lower Wabash Unit
State code = 18 and name (XV) INDIANA
(I01) Clay (105) Knox (109) Posey (113) Vermillion Knobs (201) (205) (209) (213) (217) Unit Brown Floyd Monroe Perry Washington Flats Unit
(102) Daviess (106) Martin (ii0) (114) Putnam Vigo
(103) (107) (111)
Gibson Parke Sullivan
(104) (108) (112)
Greene Pike Vanderburg
(202) (206) (210) (214)
Clark Harrison Morgan Scott
(203) (207) (211) (215)
Crawford Jackson Orange Spencer
(204) Dubois (208) Lawrence (212) Owen (216) Warrick
Upland
(301) Dearborn (305) Jefferson (309) Union Northern Unit
(302) (306)
Fayette Ohio
(303) (307)
Franklin Ripley
(304) (308)
Jennings Switzerland
(401) Adams (405) Blackford (409) Clinton (413) Elkhart (417) (421) (425) (429) (433) (437) (441) (445) Hamilton Howard Johnson La Porte Miami Porter Sto Joseph Tippecanoe
(402) (406) (410) (414) (418) (422) (426) (430) (434) (438) (442) (446)
Allen Boone Decatur Fountain Hancock Huntington Kosciusko Madison Montgomery Pulaski Shelby Tipton
(403) Bartholomew (407) Carroll (411) De Kalb (415) Fulton (419) Hendricks (423) Jasper (427) La Grange (431) Marion (435) Newton (439) Randolph (443) Starke (447) Wabash (451) White
(404) Benton (408) Cass (412) Delaware (416) Grant (420) (424) (428) (432) (436) (440) (444) (448) Henry Jay Lake Marshall Noble Rush Steuben Warren
(449) Wayne Codes for variables use of these
(450) Wells R4 PICODEj variables R5 PISTRAT was
(452) Whitley
The
described codes vary
in section from State
I sampling to State.
and PICODE (50 or a not
estimation generally
procedures. indicates (30) type
The actual
a broad
land use and
category
such as (I0 or 20) forest, PISTRAT similar indicates to but
60) nonforest, broad forest
questionable,
(80 or 90) water. class using
and stand-size C4 FORTCUR
density and
codes
identical
to variables
R21SZDNCUR.
45
Codes
for variable first or
R9 UTREND describe the land class change that took to be place used between for the
The surveys
two digits
the change are
since divided
the date into the
of photography. following
Codes
first two digits When land class on both
two categories: forest land on
is not commercial occasions: first present digit digit land
For commercial both occasions: First
forest First
two digits--The for the second
two digits--The any major
codes
are used in the
is the code class. code The
to indicate stand date since
changes
is the
the last
survey
or the
of the
land class last survey
at the or the
of photography.
time of the
date of photography.
Code
Land
Use
Class
If there sampling
has been area
a disturbance the date of
in the
since
I 2 3 4
Commercial Productive Unproductive Cropland
forest reserved forest forest
photography stand-size
but class
the forest has
type
or it
not changed,
will be recorded disturbance stand could
as no change. be recorded
This under
history.
5 6 7 8
Pasture, Idle
rangeland
farmland pasture recreation, rights and marsh wooded other Code I0 01 02 03 indicates the process Stand changes
Wooded Urban, strips,
of way,
9
Water
No change Forest type change Stand-size change Forest type and size the change
change one of
The
third
digit codes:
that caused
and uses
the following
Code 0 1 2 3 4 5 6
Cause
of Land
Use Change
No change Definition Legislation Natural Herbicide Clearing (land cleared by mechanical or hand means but timber not utilized) Clearcut (includes land clearing where timber is utilized)
46
7 8 9
Partial
cut (includes fencing to exclude
Planting Other man livestock)
Examples:
i.
Commercial was idle
forest farmland,
land use
(Red Pine trend code
Plantation) 168. was marsh
now,
on the photo
2.
Marsh code
without 990.
trees
now,
on photo
with
trees,
use trend
3.
Cleared forest
powerline land.
right
of way
now, use
on photo trend code
was commercial 816.
Timber
utilized,
Codes
for variables history the
RIO
STDHIST,
RII
PRJSTDH of disturbance on five or more of the sample
Stand points
reflects last
the kind
within
20 years. and extent of any disturbance code in the "Notes" to record (how stand on the back history:
Explain of the plot First digit 1 2 3 4 5 6 7 8 9
the kind sheet.
Use
the following
2-digit
(what happened)
Second
digit 0 1 2 3 4
long ago)
No disturbance Timber stand improvement Clearcut Partial harvest cut Natural--fire, insects, disease Man caused--drainage, spraying Planting of forest land Planting of nonforest land Natural regeneration of nonforest land R35 AREACOND stocked stocked with with desirable desirable trees trees
No disturbance 1-4 years 5-10 years 11-15 years 15-20 years
Codes
for variable fully fully
(I0) Areas (20) Areas trees. (30) Areas
but but
not overstocked. overstocked with all live
medium
to fully
stocked
with
desirable trees
trees
and with
less than
30
percent
of the area conditions
controlled that will stocked
by other prevent
and/or
inhibiting
vegetation trees. or
or surface (40) Areas more
occupancy trees and/or trees.
by desirable and with conditions
medium
to fully
with
desirable trees
30 percent that
of the area
controlled occupancy with
by other
ordinarily (50) Areas
prevent
by desirable
poorly
stocked trees.
desirable
trees but
fully
stocked
with
growing-stock
47
(60) Areas
poorly
stocked
with
desirable
trees
but with
medium
to full stocking
of growing-stock (70) Areas poorly
trees. with desirable trees and poorly stocked with
stocked trees.
growing-stock
Codes
for variable
RIO CAVIT
At each sample point, each live tree 5.0 inches DBH and larger is examined for cavities used for nesting, resting or storage by birds or mammals. For the largest cavity a 2-digit code is recorded to indicate the size of the cavity entrance hole and location of the cavity in the tree. The first digit indicates the cavity hole size, the second digit indicates the location of the cavity. To qualify as a cavity, the entrance limb. (A large limb must be greater item is zero or missing. mi ssing. First Code 1 2 3 4 5 6 7 8 9 Codes for variables (For detailed C4 FORTCUR, definitions digit Size of openin$ (inches) 1 2 3 4 5 6 7 8 9+ R20 FORTPRJ_ of these Code i 2 3 4 5 6 7 8 9 R23 FORTORG types see page 14 ) Second digit hole than must be 1.0 inch or larger in the main stem, fork, or larger 8.0 inch in diameter o.b.). If no cavity is present, this
Location of cavity (feet) 0-i 2-5 6-9 10-19 20-29 30-39 40-49 50-59 60+
forest
States = Michigan, Wisconsin, Data base numbers and names (1)MICHUP, (V)MINNOR, Code (I) (3) (12) (14) (16) (70) (91) Forest (II)MICHLP, (VI)MINSOU type
Minnesota State (IV)WISSOU, = Missouri and names (XII)MOZARK, Data base numbers (XI I I )MORBNW Code (32) (42) (51) (53) (60) (73) (80) Forest type
(III)WISNOR,
Code (2) (6) (13) (15) (50) (80) (92)
Forest
type
Code (35) (44)
Forest
type
Jack pine White pine Black spruce Northern white-cedar White spruce Elm-ash-soft maple Aspen = North Dakota, South Kansas base numbers and names
Red pine Exotic Balsam fir Tamarack Oak-hickory Maple-birch Paper birch Nebraska,
Shortleaf pine Redcedar-hardwood Post-blackjack oak Black-scarlet oak Oak-gum-cypress Cottonwood Maple-beech
Eastern redcedar Shortleaf pine-oak (54) White oak (70) Elm-ashcottonwood
States Data
Dakota,
States = Illinois,Indiana Data base numbers and names (XV)INDIANA (30) (50) (70) (80) (90) Loblolly-shortleaf Oak-hickory Elm-ash-cottonwood Maple-beech-birch Aspen-birch pine
(XIV)ILLINI, (40) Oak-pine (60) Oak-gum-cypress
(VII)NDAKOTA, (VIII)SDAKOTA, (IX)NEBRASK, (X)KANSAS (42) Cedar-hardwood (50) Oak-hickory (51) Post-blackjack oak (59) Upland plains (70) Elm-ash-cottonwood hwds. (73) Cottonwood (74) Willow (77) Lowland State Data = Iowa base number and name (XI)IOWA (50) Oak-hickory (59) Bur oak (73) Cottonwood (91) Aspen 48 plains hwds. (87) Upland elm-ash-loc.
(42) E.redcedar-hardwood (54) White oak (70) Elm-ash-cottonwood (80) Maple-basswood
Codes
for
species
variables
RI6
CUNSPP,
R28 SISPP,
R4 SPECIES,
R3 SPPSI
Commercial species Code Common name 012 068 070 071 091 093 094 095 096 105 113 122 125 129 130 133 202 241 261 300 313 314 316 317 318 331 371 372 Balsam fir
Scientific Abies
name var.
balsamea
Eastern redcedar European larch Tamarack Norway spruce Engelmann spruce White spruce Black spruce Col. blue spruce Jack pine Limber pine Ponderosa pine Red pine White pine Scotch pine Austrian pine Douglas fir N. white-cedar Hemlock Acacia Boxelder Black maple Red maple Silver maple Sugar maple Ohio buckeye Yellow birch Sweet birch birch birch
Juniperus virginiana Larix dec idua Larix laricina Picea abies Picea engelmannii Picea glauca Picea mariana Picea pungens Pinus banksiana Pinus flexilis Pinus ponderosa Pinus resinosa Pinus strobus Pinus sylvestris Pinus nigra Pseudotsuga menziesii Thuja occ identalis Tsuga canadensis Acacia spp. Acer negundo Acer nigrum Acer rubrum Acer saccharinum Acer saccharum Aesculus glabra Betula alleghaniensis Betula lenta Betula Betula nigra occidentalis
373 River 374 Water 375 402 403 404 405 407 408 409 421 452 461 462 491
Paper birch Bitternut hickory Pignut hickory Pecan Shellbark hickory Shagbark hickory Black hickory Mockernut hickory American chestnut Northern catalpa Sugarberry Hackberry Flowering dogwood
Betula papyrifera Carya cordiformis Carya glabra Catya illinoensis Carya laciniosa Carya ovata Carya texana Carya tomentosa Castanea dentata Catalpa Celtis Celtis Comus speciosa laevigata occidentalis florida
521 Persimmon 531 Beech 541 _ite ash 543 544 546 552 571 601 602 621 660 681 682 693 731 741 742 743 Black ash Green ash Blue ash Honeylocust Ky. coffee tree Butternut Black walnut Yellow poplar Apple White mulberry Red mulberry Black tupelo Sycamore Balsam poplar East. cottonwood Bigtooth aspen
Diospyros virginiana Fagus grandifolia Fraxinus americana Fraxinus nigra Fraxinus pennsylvanica Fraxinus quadrangulata Gleditsia triacanthus Gymnocladus dioicus Juglans cinerea Juglans nigra Liriodendron tulipifera Malus spp. Morus alba Morus rubra Nyssa sylvatica Platanus occidentalis Populus balsamifera Populus de ltoides Populus grandidentata Populus Populus Populus sargentii tremuloides alba
745 Plains cottonwood 746 Quaking aspen 752 Silver poplar
49
Code 753 762 802 804 806 809 817 823 824 826 830 832 833 834 835 837 901 922 931 951 972 974 975 977
Common
name
Scientific
name
Narrowleaf ctnwd. Black cherry White oak Swamp white oak Scarlet oak Northern pin oak Shingle oak Bur oak Blackjack oak Chinkapin oak Pin oak Chestnut oak Northern red oak Shumard oak Post oak Black oak Black locust Black willow Sassafras American basswood American elm Siberian elm Slippery elm Rock elm species
Populus angustifolia Prunus serotina Quercus alba Quercus bicolor Quercus coccinea Quercus ellipsoidalis Quercus imbricaria Quercus macrocarpa Quercus marilandica Quercus muehlenbergii Quercus palustris Quercus prinus Quercus rubra Quercus shumardii Quercus stellata Quercus velutina Robinia pseudoacacia Salix nigra Sassafras albidum Tilia americana Ulmus americana Ulmus Ulmus Ulmus pumila rubra thomasii
Noncommercial 066 315 319 321 333 341
Rocky mt. juniper Striped maple Mountain maple Rocky mt. maple Western buckeye Ailanthus
Juniperus scorplorum Acer pensylvanicum Acer spicatum Acer glabrum Aesculus glabra Ailanthus altissima Carpinus caroliniana Cercis canadensis Crataegus species Maclura pomifera Ostrya virginiana Prunus pensylvanica Prunus virginiana Prunus nigra Prunus americana Sorbus Salix Salix amygdaloides eriocephala
391 Am. hornbeam 471 Eastern redbud 500 641 701 761 763 765 766 851 Hawthorn Osage orange Ironwood Pincherry Chokecherry Canada plum Wild plum Mountain ash
921Peachleaf willow 923 Diamond willow
Codes Code 351
for record Common name
type 4 variable Scientific Alnus
R2 SHRUBSP name
tall
woody
shrubs
Red alder
rubra
352 Green alder 353 Speckled alder 380 Swamp birch 381 Dwarf birch 463 Dwarf hackberry 490 Dogwood 592 Black alder 593 Mountain holly 594 Deciduous holly 603 Spice bush 764 Sandeherry 76? Pawpaw 768 Devils wlk. stick 769 Chickasaw plum 850 Sweet gale 852 Common barberry
Alnus crispa Alnus rugosa Betula pumila Betula glandulosa Celtis tenuiflolia Cornaceae flex verticillata Nemopanthus mucronata llex decidua Lindera benzoin Prunus pumila Asimina triloba Asimina triloba Prunus angustlfolia Myrica gale Berberis vulgaris
50
853 854 855 856 857 859
Witch hazel Common ninebark Juneberry Beaked hazenut Prickly ash Buckthorn
Hamamelis virginiana Physocarpus opulifolius Amelanchier Corylus cornuta Zanthoxylum americanum Rhamnus Ceanothus sanguineus Dirca palustris Viburnum Sambucus Rhus Ptelea trifoliata Shepherdia canadensus Rhus vernix Ceanothus americanus Cephalanthus occidentalis Elaeagnus Pyrus ioensis Amorpha Euonymus atropurpurea Sapindus drummondii Salicaceae Amarix gallica Umelia lanuginosa Chrysothamnus pulchell (tall, perennials)
860 Mountain laurel 861Leatherwood 862 Vibernum 863 Elderberry 864 Sumac 869 Shrubby trefoil 880 Buffaloberry 903 Poison sumac 907 912 913 915 916 917 919 920 925 926 927 997 New Jersey tea Buttonbush Russian olive Wild crabapple Lead plant Wahoo Soapberry Willow Tamarisk Buckthorn Rabbitbush Other species
Codes
for record
type
5 variable
R2 SHUSPL
low herbaceous
shrubs.
059 Creeping juniper 069 Common juniper 230 Yew 590 712 748 749 750 751 849 865 866 867 868 870 871 872 873 874 875 876 877 878 902 908 909 918 Holly Virginia creeper Spirea Labrador tea Leatherleaf Bog laurel Sweetfern Gooseberry Chokeberry Raspo-blackberry Rose Am. bladdernut Willow herb Privet andromeda Black huckleberry Bil.-blueberry Bush honeysuckle Honeysuckle Buckbrush Shrb. cinquefoil Poison ivy St.johns wort Bearberry Bittersweet
Juniperus horizontalis Juniperus communis Taxus canadensis llex Parthenocissus Spiraea Ledum groenlandicum Chamaedaphne calyculat Kalmia polifolia Comptonia peregrina Ribes Aronia Rubus Rosa Staphylea trifolia Decodon verticillatus Lyonia liqustrina Gaylussacia baccata Vaccinium Diervilla lonicera Lonicera Symphoricarpus Potentilla fruticosa Rhus radicans Hypericum Arctosttaphylos uva-ur Celastrus scandens Ampelopsis Artemisia Smilax Andromeda Vitis Vitis cordata filifolia glaucophylla
924 Raccoon grape 929 Sandhill sage 932 Greenbriar 978 Bog rosemary 982 Grape 983 Clematis 984 Strawberry 998 Other species
Fragaria spp. (other perennials)
51
APPENDIX
B.--GLOSSARY
OF TERMS in Forest Survey, with the even inch the approximate midpoint for a class. For example, the 6-inch class includes trees 5°0 through 6°9 inches d.b.h°) Farm.--Either a place operated as a unit or i0 or more acres from which the sale of agricultural products totals $50 or more annually, or a place operated as a unit of less than I0 acres from which the sale of agricultural products for a year amounts to at least $250. Places having less than the $50 or $250 minimum estimated sales in a given year are also counted as farms if they can normally be expected to produce goods in sufficient quantity to meet the requirements of the definition. Farmer-owned land.--Land owned by farm operators_ (Note: Excludes land leased by farm operators from nonfarm owners, such as railroad companies and States.) Forest land.--Land at least 16.7 percent stocked by forest trees of any size, or formerly having had such tree cover, and not currently developed for nonforest use_ (Note: Stocking is measured by comparison of basal area and/or number of trees, by age or size and spacing with specified standards.) The minimum area for classification of forest land is one acre. Roadside, streamside, and shelterbelt strips of timber must have a 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. Also see definitions for land area, commercial forest land, noncommercial forest land, productive-reserved forest land, stocking, unproductive forest land, and water. Forest industr_ land.--Land owned by companies or individuals operating primary wood-using plants. Forest trees.--Woody plants having a well-developed stem and usually more than 12 feet tall at maturity. Forest type.--A classification of forest land based on the species forming a plurality of live tree stocking_ Major forest types are: Jack i_.--Forests in which jack pine comprises a plurality of the stocking. (Common associates include eastern white red pine, aspen, birch, and maple.) Red pine.--Forests in which red pine comprises a plurality of the stocking. (Common associates include eastern white pine, jack pine, aspen, birch, and maple.) White pine.--Forests in which eastern white pine comprises a plurality of the stocking. (Common associates include red pine, jack pine, aspen, birch, and maple.) Balsam fir.--Forests in which balsam fir and white spruce comprise a plurality of stocking with balsam fir the most common. (Common associates include white spruce, aspen, maple, birch, northern white-cedar, and tamarack.) pine,
Acceptable trees.--Growing-stock trees of tommercial species that meet specified standards of size and quality but do not qualify as desirable trees, Basal area_--The area in square feet of the cross section at breast height of a single tree. When the basal area of all trees in a stand are summed, the result is usually expressed as square feet of basal area per acre. Biomass.--The above-ground volume of all live trees (including bark and foliage) reported in green tons. Biomass is made up of five components: Growing-stock bole.--Biomass of a growing-stock tree from a [-foot stump to a variable 4-inch top. Growing-stock tops and limbs.--Biomass of a growing-stock tree from a 1-foot stump minus the growing-stock bole. Cull bole.--Biomass of a cull tree from a l-foot stump to a variable 4-inch top. Cull tops and limbs.--Biomass of a cull tree from a 1-inch stump minus the cull bole. i- to 5-inch trees.--Biomass of all live trees I to 5 inches in diameter at breast height, Commercial forest land.--Forest land producing or capable of producing crops of industrial wood and not withdrawn from timber utilization. (Note: Areas qualifying as commerial forest land are capable of producing more than 20 cubic feet per acre per year of annual growth under management. Currently inaccessible and inoperable areas are included, except when the areas involved are small and unlikely to become suitable for producing industrial wood in the foreseeable future.) Also see definition of pastured commercial forest land. Commercial species.--Tree species presently or prospectively suitable for industrial wood products. (Note: Excludes species of typically small size, poor form, or inferior quality such as hophornbeam and hawthorn.) 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. Cull.--Portions of a tree that are unusable for industrial wood products, because of rot, form, or other defect. Desirable tree.--Growing-stock tree that has no serious defects in quality limiting present or prospective use, having relatively high vigor, and containing no pathogens that may kill or seriously deteriorate it before rotation age. These trees would be favored by forest managers in silvicultural operations. Diameter classes.--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
52
White spruceo--Forests in which white spruce and balsam fir comprise a plurality of the stocking with white spruce the most common. (Common associates include balsam fir, aspen, maple, birch, northern white-cedar, and tamarack.) Black spruce.--Forests in which swamp conifers comprise a plurality of the stocking with black spruce the most common. (Common associates include tamarack and northern white-cedar.) Northern white-cedar.--Forests in which swamp conifers comprise a plurality of the stocking with northern white-cedar the most common. (Common associates include tamarack and black spruce.) Tamarack.--Forests in which swamp conifers comprise a plurality of the stocking with tamarack the most common. (Common associates include black spruce and northern white-cedar.) Shortleaf pine.--Forests in which shortleaf pine comprises a plurality of the stocking. (Common associates include oak, hickory, and gum.) Loblolly-shortleaf pine.--Forests in which loblolly, shortleaf, and Virginia pines, singly or in combination, comprise a plurality of the stocking. (Common associates include gum, hickory, sassafras, and yellow-poplar.) Eastern redcedar.--Forests in which eastern redcedar comprises a plurality of the stocking. (Common associates are oak and hickory.) Eastern redcedar-hardwood.--Forests in which hardwoods comprise a plurality of the stocking but in which eastern redcedar comprises 25 percent or more of the stocking, Found on dry uplands, usually abandoned pastures or fields, Shortleaf pine-oak.--Forests in which upland oaks comprise a plurality of the stocking, but in which shortleaf pine comprises 25 to 50 percent of the Stocking. Oak-hickory.--Forests in which northern red oak, white oak, bur oak, or hickories, singly or in combination, comprise a plurality of the stocking. (Common associates include jack pine, beech, yellow-poplar, elm, and maple.) Post-blackiack oak.--Forests in which post oak or blackjack oak, singly or in combination, comprise a majority of the stocking. Occurs on dry uplands and ridges, Black-scarlet oak.--Forests in which upland oaks or hickory, singly or in combination, comprises a plurality of the stocking except where shortleaf pine or redcedar comprises 25 to 50 percent, or where white oak or post and blackjack oak comprise a plurality. (Common associates include yellow-poplar, elm, maple, and black walnut.) White oak.--Forests in which white oak comprises more than 50 percent of the primary typing species for the oak-hickory type. (Common associates are black oak, northern red oak, bur oak, shagbark and bitternut hickories, white ash, and bigtooth aspen.)
Bur oak.--Forests in Which bur oak comprises more than 50 percent of the stocking of the primary typing species for the oakhickory type. (Common associates are northern pin oak, northern red oak, white oak, black oak, basswood, American elm, green ash, boxelder, hackberry, cottonwood, and hophornbeam.) Upland_p_lains hardwoods.--Forests in which black walnut, hackberry, and bur oak, singly or in combination, comprise a plurality of the stocking. Commonly found on slopes and uplands. Oak-gum-cy_press.--Bottomland forests in which bottomland oaks such as pin, swamp white, and shingle oaks, along with tupelo, blackgum, sweetgum, and cypress, singly or in combination, comprise a plurality of the stocking. (Common associates include cottonwood, willow, ash, elm, hackberry, and maple.) Elm-ash-soft maple.--Forests in which lowland elm, ash, cottonwood, and red maple, singly or in combination, comprise a plurality of the stocking. (Common associates include birches, spruce, and balsam fir.) Elm-ash-cottonwood.--Lowland forests in which elm, ash, cottonwood, and willow, singly or in combination, comprise a plurality of the stocking, except for those in which cottonwood or willow comprise a majority of the stocking. Found on first or second bottoms of major streams. Cottonwood.--Forests in which cottonwood comprises a majority of the stocking. Willow.--Forests in which willow comprises a majority of the stocking. Lowland plains hardwoods.--Forests in which black walnut, hackberry, bur oak, soft maple, and boxelder, singly or in combination comprise a plurality of the stocking. Commonly found in coves and bottomlands. Maple-birch.--Forests in which sugar maple, basswood, yellow birch, upland American elm, and red maple, singly or in combination, comprise a plurality of the stocking. (Common associates include white pine, elm, hemlock, and basswood.) Maple-beech.--Forests in which hard maple or beech, singly or in combination, comprises a plurality of the stocking. (Common associates include elm and basswood.) Hard maple-basswood.--Forests in which sugar maple or basswood, singly or in combination, comprise a plurality of the stocking. (Common associates are American elm, green ash, yellow birch, white pine, and northern red oak.) Upland elm-ash-locust.--Upland forests in which elm, ash, and honeylocust, singly or in combination, comprise a plurality of the stocking. Includes shelterbelts and windbreaks on sites drier than those comassociated with lowland species. Aspen.--Forests in which quaking aspen or bigtooth aspen, singly or in combination, comprise a plurality of the stocking. (Common associates include balsam poplar, balsam fir, and paper birch.) and red maple, singly monly
53
or in combination, comprise a plurality of the stocking. (Common associates include birches, spruce, and balsam fir.) Pa_er birch.--Forests in which paper birch comprises a plurality of the stocking. (Common associates include maple, aspen, and balsam fir.) Exotic.--Forests in which species not native to the State comprise a plurality of the stocking. (Mostly Scotch pine plantations.) Gross area.--The entire area of land and water as determined by the Bureau of the Census, 1970. Growing-stock trees.--Live trees of commercial species qualifying as desirable and acceptable trees. (Note: Excludes rough, rotten, and dead trees.) Gro_in_-stock volume.--Net volume in cubic feet of growing-stock trees 5.0 inches d.b.h, and over, from a 1-foot stump 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. Cubic feet can be converted to cords by dividing by 79 cubic feet per solid wood cord. Hardwoods.--Dicotyledonous trees, usually broadleaved and deciduous, Idle farmland.--Includes former cropland, orchards, improved pastures, and farm sites not tended within the past 2 years and presently less than 16.7 percent stocked with trees, ImR!0ved_Rasture.--Land currently improved for grazing by cultivating, seeding, irrigating or clearing of trees or brush and less than 16.7 percent stocked with live trees, Indian land.--All lands held in trust by the United States for individual Indians or tribes, or all lands, titles to which are held by individual Indians or tribes, subject to Federal restrictions against alienation, Land area.--A. Bureau of the Census. The area area of dry land and land temporarily or partly covered by water such as marshes, swamps, and river flood plains (omitting tidal _lats below mean high tide); 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 1 acre. Live trees.--Growing-stock, rough, and rotten trees 1 inch d.b.h, and larger, Log _rades.--A classification external characteristics of logs based on as indicators of
Marsh.--Nonforest land that characteristically supports low, generally herbaceous or shrubby vegetation and that is intermittently covered with water° Merchantable.--Refers to a pulpwood or saw log section that meets pulpwood or saw log specfications, respectively_ Miscellaneous federal land_--Federal land other than National Forest, land administered by the Bureau of Land Management, and Indian land. Miscellaneous private land.--Privately owned land other than forest-industry and farmerowned land. Mortality.--The volume of sound wood in growingstock and sawtimber trees that die annually_ 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. annual growth of growi uS-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 resuiting from natural causes. annual 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. volume.--Gross volume less deductions for rot, sweep, or other defect affecting use
Net
Net
Net
for timber products. Noncommercial forest land.--(a) Unproductive forest land and (b) productive-reserved forest land. 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, improved pasture, residential areas, city parks, improved roads of any width and adjoining clearings, powerline clearings of any width, and i- 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 1 acre in area to qualify as nonforest land.) a. Nonforest land without trees.--Nonforest land with no live trees present. b. Nonforest land with trees.--Nonforest land with one or more at least 5 inches d.b.h. trees per acre
quality or value. (See Appendix for specific grading factors used.) _@g_in$ residues.--The unused growing stock portions of trees cut or killed by logging. Maintained road.--Any road, hard-topped or other surfaces, that is plowed or graded at least once a year. Includes rights-of-way that are cut or treated to limit herbaceous growth,
Nonstocked land.--Commercial forest land less than 16.7 percent stocked with growingstock trees. Other removals.--Growing-stock trees removed but not utilized for products, or trees left standing but "removed" from the commercial forest land classification by land use change. Examples are removals from cultura operations such as timber stand improvement work, land clearing, and changes in land use. 54
OwnershiE°--Property owned by one owner, regardless of the number of parcels in a specified area. O_¢nershi_ size class.--The amount of commmercial forest land owned by one owner, regardless of the number of parcels, Owner tenure.--The length of time a property has been held by the owner, Physio$__aphic class.--A measure of soil and water conditions that affect tree growth on a site. The physiographic classes are: Xeric sites.--Very dry soils where excessive drainage seriously limits both growth and species occurrence. Example: sandy jack pine plains. Xeromesic sites.--Moderately dry soils where excessive drainage limits growth and species occurrence to some extent. Example: dry oak ridge, Mesic sites.--Deep, well-drained soils, Growth and species occurrence are limited only by climate. Hydromesic sites.--Moderately wet soils where insufficient drainage or infrequent flooding limits growth and species occurrence to some extent. Example: better drained bottomland hardwood sites, Hydric sites.--Very wet sites where excess water seriously limits both growth and species occurrence. Example: extra spruce wet, frequently flooded river bottoms and spruce bogs. Plant byproducts.--Plant residues used for products such as mulch, pulp chips, and fuelwood, Plant residues.--Wood and bark materials generated at manufacturing plants during production of other products, Poletimber stands.--(See stand-size class.) Poletimber trees.--Growing-stock trees of commercial species at least 5 inches d.b.h. but smaller than sawtimber Productive-reserved forest land.--Forest land sufficiently productive to qualify as commercial forest land but withdrawn from timber utilization through statute, administration regulation, designation, or e×clusive use for Christmas tree production, as indicated by annual shearing, Productive-deferred.--Forest land sufficiently productive to qualify as commercial forest land but presently withdrawn from timber utilization because it is being considered for possible inclusion into the Wilderness system. Rotten trees.--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 cations for freedom from defect primarily because of rot; that is, when more than 50 percent of extra cull volume in a tree is rotten. Rough trees.--(a) Live trees cies that do not contain of commercial speat least one met-
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; pulpwood; fuelwood; piling; poles; posts; hewn ties; mine timbers; and various other round, split, or hewn products.) Salvable dead trees.--Standing or down dead trees that are considered merchantable by regional standards. Saplings.--Live trees I- to 5 inches d.b.h. Sapling-seedlin$ stands.--(See standsize 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 inches (9 inches for hardwoods) or other combinations 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 Io_ top.--The point on the bole of sawtimber trees above which a saw log cannot be produced. The minimum saw log top is 7 inches d.o.b, for softwoods and 9 inches d.o.b. for hardwoods. Sawtimber stands.--(See stand-size class.) Sawtimber trees.--Growing-stock trees of commercial species containing at least a 12foot 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 inches d.b.h. Hardwoods must be at least Ii inches d.b.h. Sawtimber volume.--Net volume of the saw log portion of live sawtimber in board feet, International i/4-inch rule, from stump to a minimum 7 inches top diameter outside bark (d.o.b.) for softwoods and a minimum 9 inches top d.o.b, for hardwoods. Seedlings.--Live trees less than i inch d.b.h. that are expected to survive. Only softwood seedlings more than 6 inches tall and hardwood seedlings more than i foot tall are counted. Short-lo_ (ro__h tree).--Sawtimber-size trees of commercial species that contain at least one merchantable 8- to ll-foot saw log but not a 12-foot saw log. Shrub biomass.--The total aboveground weight (including the bark) of selected shrubs and trees less than I inch d.b.h. Site class°--A classification of forest land in terms of inherent capacity to grow crops of industrial wood based on fully stocked natural stands. Site index.--An expression of forest site quality based on the growing dominant total height of freeor codominant trees of a
chantable 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
representative specles in the forest type at age 50. Softwoods.--Coniferous trees, usually evergreen, having needles or scale-like leaves. Stand.--A growth of trees on a minimum of I acre
55
•
•
of forest land that trees of any size.
is stocked
by forest Main forest
Timber removals foot volume
from sawtimber.--The net boardof live sawtimber trees removed and
Stand-age class.--Age of the main stand. stand refers to trees of the dominant
for forest products annually (including roundwood products and hogging residues)
type and stand-size class, Stand-area class.--The extent of a continuous forested area of the same forest type, stand-size class, and stand-density class, Stand-size class.--A classification of forest land based on the size class of growingstock trees on the area; that is, sawtimber, poletimber, or seedlings and saplings, a. Sawtimber stands.--Stands at least 16.7 percent stocked with growing-stock trees, with half or more of total stocking in sawtimber or poletimber trees, and with sawtimber stocking at least equal to poletimber stocking, b. Poletimber stands.--Stands at least 16.7 percent stocked with growing-stock trees of which half or more of this stocking is in poletimber and/or sawtimber trees, and with poletimber stocking exceeding that of sawtimber, c. Sa_ing-seedling stands.--Stands at least 16.7 percent stocked with growingstock trees of which more than half of the stocking is saplings and/or seedlings, d. Nonstocked stands.--Stands in which stocking of growing-stock trees is less than 16.7 percent, State land.--Land owned by States, or land leased to these governmental units for 50 years or more. Stocking.--The degree of occupancy of land by 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 utilize the growth potential of the land; that is, the stocking standard. A stocking percent of I00 indicates full utilization of the site and is equivalent to 80 square feet of basal area per acre in trees 5 inches d.b.h, and larger. In a stand of trees less than 5 inches d.b.h., a stocking percent of of i00 would indicate that the present humber 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 trees is 134.0 percent or more. in which 133.9 in which Fully stocked stands.--Stands stocking of trees is from I01.0 to percent. Medium stocked stands.--Stands
for other removals. 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. Tree biomass.--The total aboveground weight (including the bark) inches in d.b.h., of all trees from I to 5 and the total aboveground
weight (including the bark) from a l-foot stump for trees more than 5 inches in diameter. size class.--A classification of trees based on diameter at breast height, including sawtimber trees, poletimber trees, saplings, and seedlings. U_Un_productive forest land.--Forest land incapable of producing 20 cubic feet per acre of annual growth or of yielding crops of industrial wood under natural conditions because of adverse site conditions. (Note: Adverse conditions include shallow soils, dry climate, poor drainage, high elevation, steephess, and rockiness). U___perstem portion.--That part of the bole of sawtimber trees above the saw log top to a minimum top diameter of 4 inches outside bark 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; schoolyards, cemeteries, roads; railroads; airports; beaches; powerlines; and other rights-of-way; or other nonforest land not included in any other specified land use class. Water.--(a) Bureau of the Census.--Permanent inland water surfaces, such as lakes, reservoirs, and ponds having 40 acres or more of area; streams, sloughs, estuaries, and canals one-eighth of a statute mile or more in width. (b) Noncensus.--Permanent inland water surfaces, such as lakes, reservoirs, and ponds having i to 39.9 acres of area; streams, sloughs estuaries, and canals 120 feet to one-eighth of a statute mile wide. Wooded pasture.--Improved pasture with more than 16.7 percent stocking in live trees but less than 25 percent stocking in growingstock trees. Area is currently improved for grazing or there is other evidence of grazing. Wooded stri_.--An acre or more of natural continuous forest land that would otherwise meet survey standards for commercial forest land except that it is less than 120 feet wide. Tree
stocking of trees is from 61.0 to 100.9 percent, Poorly stocked stands.--Stands in which stocking of trees is from 16.7 to 60.9 percent, Nonstocked areas.--Commercial forest land on which stocking of trees is less than 16.7 percent, Timber removals from growing stock.--The volume of sound wood in growing-stock trees removed annually for forest products (including roundwood products and logging residues) and for other removals,
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BIBLIOGRAPHY Belcher, David L.; Holdaway, Margaret R.; Brand, Gary J_ A description of STEMS--the stand and tree evaluation and modeling system. Gen. Tech. Rep. NC-79o St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station; 1982. 18 p. Hahn, Jerold Missouri° MN: U.S. Service, Station; T. Local net volume equations for Gen. Tech. Rep. NC-15. Sto Paul, Department of Agriculture, Forest North Central Forest Experiment 1975. 8 p.
Hahn, Jerold T. A local net volume equation for Iowa. Reso Note NC-199. St. Paul, MN: UoSo Department of Agriculture, Forest Service s North Central Forest Experiment Station; 1976. 4 p. Hahn, Jerold T. Tree volume and biomass equations for the Lake States. Res. Pap. NC-250. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station; 1984. I0 p. Robinson, Barry N.; Anderson, Gary D.; Cohen, Eli,; Gazdzik, Wally F.; Karpel, Lenny C.; Miller, Alan H.; Stein, Jack R. SIR scientific information retrieval users manualversion p. 2. Evanston, ILL: SIR Inc., 1980.
Smith, W. Brad and Weist, Carol A. A net volume equation for Indiana. Resour. Bull. NC-63. St. Paul, MN: U.S. Department of Agriculture, Forest Service, NorthCentral Forest Experiment Station; 1982. 7 p.
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