USDA, Forest Service, Southern Forest Experiment Station unknown 20010000 SHAPE USDA, Forest Service, Southern Forest Experiment Station http://www.srsfia.usfs.msstate.edu/ewdata/ewrec.htm# This dataset contains data collected from the forest inventory and analysis sampling points in the State of Florida. Forest inventory plans are designed to meet sampling error standards for area, volume, growth, and removals provided in the Forest Service Handbook. These standards, along with other guidelines, are aimed at obtaining comprehensive and comparable information on timber resources for all parts of the country. In the East, FIA inventories are commonly designed to meet the specified sampling errors at the State level at the 67-percent confidence limit (one standard error). A 3-percent error per 1 million acres of timberland is the maximum allowable sampling error for area. A 5-percent error per 1 billion cubic feet of growing stock on timberland is the sampling error goal for volume, removals, and net annual growth. unknown unknown publication date Complete As needed -87.615716 -79.866835 31.042913 24.546229 None biota ISO 19115 Topic Categories biota None Southeast United States Southeast U.S Florida None 1990s None THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING. THE UNIVERSITY OF FLORIDA GEOPLAN CENTER SHALL NOT BE LIABLE FOR ANY DAMAGES SUFFERED AS A RESULT OF USING, MODIFYING, CONTRIBUTING OR DISTRIBUTING THE MATERIALS A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html Florida Geographic Data Library (FGDL) mailing

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Gainesville Florida 32611-5706 FGDL Mailing Lists: http://www.fgdl.org/fgdl-l.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html Technical Support: http://www.fgdl.org/fgdlfeed.html For FGDL Software: http://www.fgdl.org/software.html Web site: http://www.fgdl.org Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 USDA, Forest Service, Southern Forest Experiment Station unknown Map GeoPlan relied on the integrity of the attribute information within the original data. FIA procedures were completed in Florida during 1995 and summarized for counties, plots, and trees. The data is available to the public on the web at: http://www.srsfia.usfs.msstate.edu/ewdata/ewrec.htm#. Data for Florida (1995) is in the form of three comma-delineated ascii files containing data for county, plot, or tree records. Geoplan downloaded this data from the web in December 1999 and developed a program written in Arc Macro Language to put the data in the form we desired. The Generate command in Arc/Info was used to create a point coverage. The data from the comma-delineated ascii file for plot records was then placed in the coverage point attribute table. The tree records were used to create the FIATREE1.DBF and FIATREE2.DBF tables (see User Notes above). The comma-delieated file for tree records contains data for individual trees. Rather than have a copious amount of records, GeoPlan decided to summarize some of the tree data for each plot. This was done by using the FREQUENCY command in Arc/Info for the SPP (species) data for each tree record. The frequency data was then converted into a percentage of live trees in each species in each plot, and each species code for species that occured in the Florida FIA procedure was turned into an item in either the FIATREE1.DBF or FIATREE2.DBF. Two tables were created in order to place a limit on the number of items in each table (35 species items are in both FIATREE tables). Data does not exist for every plot, so when the tables are linked to the FLFIA.DBF, not every record will be populated in every species field. FIATREE1.DBF and FIATREE2.DBF can be linked to the FLFIA.DBF using the CNTY_PLT item, which is common to all three tables. FIA procedures were completed in Florida during 1995 and summarized for counties, plots, and trees. The data is available to the public on the web at: http://www.srsfia.usfs.msstate.edu/ewdata/ewrec.htm#. Data for Florida (1995) is in the form of three comma-delineated ascii files containing data for county, plot, or tree records. Geoplan downloaded this data from the web in December 1999 and developed a program written in Arc Macro Language to put the data in the form we desired. The Generate command in Arc/Info was used to create a point coverage. The data from the comma-delineated ascii file for plot records was then placed in the coverage point attribute table. The tree records were used to create the FIATREE1.DBF and FIATREE2.DBF tables (see User Notes above). The comma-delieated file for tree records contains data for individual trees. Rather than have a copious amount of records, GeoPlan decided to summarize some of the tree data for each plot. This was done by using the FREQUENCY command in Arc/Info for the SPP (species) data for each tree record. The frequency data was then converted into a percentage of live trees in each species in each plot, and each species code for species that occured in the Florida FIA procedure was turned into an item in either the FIATREE1.DBF or FIATREE2.DBF. Two tables were created in order to place a limit on the number of items in each table (35 species items are in both FIATREE tables). Data does not exist for every plot, so when the tables are linked to the FLFIA.DBF, not every record will be populated in every species field. FIATREE1.DBF and FIATREE2.DBF can be linked to the FLFIA.DBF using the CNTY_PLT item, which is common to all three tables. This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan USDA, Forest Service, Southern Forest Experiment Station unknown Map 0 None unknown unknown Unknown Unavailable Spatial and Attribute Information The process step describes, in general, the process used in the production of data sets. The originating agencies created the original spatial coverage. GeoPlan, during the QA/QC process included the following aspects: (1) Reprojected data to FGDL Albers (2) Set Precision to DOUBLE (3) Set Tolerances to FGDL Standards. (4) Added the DESCRIPT item based on GLUCUR item (5) Dropped items MDATE, ADFOR, UNIT, and STATE from the original data downloaded from the web. (6) Added item CNTY_PLT based on the FIPS county code and the plot number for each plot. The purpose of this was to get around the fact that plot numbers reapeated in different couties. The CNTY_PLT item is therefore a unique identifier for each plot, and can be used in place of the FLFIA-ID item as such. In fact, to facilitate this, the FLFIA-ID item was calculated to be equal to the CNTY_PLT item. (7) Dropped 175 records from the coverage. These records had no Lattitude or Longitude data and therefore could not be generated as accurate points. The only item fields that were populated for these records were CNTY_PLT, COUNTY, PLTNUM, GLUCUR, GLUOLD and EXPACR (8) Added item DESCRIPT2 based on TYPECUR item unknown Vector Entity point 13537 NAD 1983 HARN Florida GDL Albers 24.0 31.5 -84.0 24.0 400000.0 0.0 coordinate pair 0.0001 0.0001 meter D North American 1983 HARN GRS 1980 6378137.0 298.257222101 DATABASE FILE Database File None CNTY_PLT Unique identifier for every FIA plot in the state. First 1 to 3 digits refer to the county FIPS code and the last three digits refer to the Plot Number (see PLTNUM item below). Unknown Unknown COUNTY County code-The three-digit FIPS code number for each county, parish, or other similar governmental unit in a State. FIPS codes from the Bureau of the Census, 1980, are used. Unknown Unknown PLTNUM Plot number-A four-digit plot number. Plot numbers are unique within counties, but may be repeated within a State or survey unit. Unknown Unknown OWNER Ownership code-Legal owner of the plot land at the time of the current inventory. In addition, this code indicates if private lands have been leased to forest industry. If lease status is unknown, the owner codes for unleased (40, 60, 70) are recorded. If corporate status is unknown, the owner codes for individual are recorded (70, 90). Unknown 11 National Forest, Lands owned or administered by USDA Forest Service, National Forest System. Same 12 Lands owned or administered by Management (BLM) USDI Bureau of Land Management Same 13 Tribal lands held in fee by the Federal Government but administered for Indian tribal groups, and Indian trust allotments. (Indian lands not administered by the BIA are placed in the appropriate private owner class.) Same 14 Lands owned or administered by Federal agencies other than the Forest Service or the BLM. These include military reservations, National Parks, National Fish and Wildlife Service lands, and Corps of Engineers lands. Same 15 Lands owned by State governments, or lands leased by State governmental units for more than 50 years. Same 16 Lands owned by county or municipal agencies, Municipal or lands leased by these agencies for more than 50 years. Same 20 Lands owned by companies or individuals operating wood-using plants. Same 40 Lands owned by an individual who operates a farm (farm operator), either participating in the work or directly supervising the work. A farm is defined as land on which agricultural operations are being conducted and sale of agricultural products totals $1,000 or more during the year. Same 50 Lands owned by a farm operator but leased to forest industry. Same 60 Lands owned by private corporations other than forest industry or farmers. Same 70 ands owned by individuals other than farmers. Same 80 Lands owned by corporations but leased to forest industry Same 90 Lands owned by other private individuals but leased to forest industry. Same DESCRIPT2 Based on TYPECUR, if none listed 'UNKNOWN' value entered. Unknown Unknown TYPECUR Current forest type-The predominant forest type of the area where the plot is located. This type is based on the tree species that form a plurality of all live stocking within the stand. In this two-digit coded element, the first digit represents a general type group and the second digit specifies an Eastwide standard type, as shown below. These types come from the standard set of local forest types in the Forest Service Handbook, with several types added. Not every type is recognized in every State, and type names used in published reports may differ from State to State. For example,the 1986 Indiana report shows area in a type called lowland oak. In the data base, the plots that represent this area are coded 61-swamp chestnut oak-cherrybark oak. The assignment of a forest type to a stand depends on the determination of stocking. Each FIA project has somewhat different methods of assigning stocking. Information on how data are assigned to these types for a particular State can be obtained directly from the FIA project responsible for the inventory and from the following web site: http://www.srsfia.usfs.msstate.edu/ewman.htm#Chap2 Unknown 00 00 White - Red - Jack Pine 01 Jack pine 02 Red pine 03 White pine 04 White pine - hemlock 05 Hemlock 06 Scotch pine 07 Ponderosa pine Same 10 10 Spruce - Fir 11 Balsam fir 12 Black spruce 13 Red spruce - balsam fir 14 Northern white-cedar 15 Tamarack 16 White spruce 17 Norway spruce 18 Larch 19 Red spruce Same 20 20 Longleaf - Slash Pine 21 Longleaf pine 22 Slash pine Same 30 30 Loblolly - Shortleaf Pine 31 Loblolly pine 32 Shortleaf pine 33 Virginia pine 34 Sand pine 35 Eastern redcedar 36 Pond pine 37 Spruce pine 38 Pitch pine 39 Table-mountain pine Same 40 40 Oak - Pine 41 White pine - northern red oak - wash 42 Eastern redcedar - hardwood 43 Longleaf pine - scrub oak 44 Shortleaf pine - oak 45 Virginia pine - southern red oak 46 Loblolly pine - hardwood 47 Slash pine - hardwood 49 Other oak - pine Same 50 50 Oak - Hickory 51 Post oak - black oak - bear oak 52 Chestnut oak 53 White oak - red oak - hickory 54 White oak 55 Northern red oak 56 Yellow-poplar - white oak - northern red oak 57 Southern scrub oak 58 Sweetgum - yellow-poplar 59 Mixed central hardwoods Same 60 60 Oak - Gum - Cypress 61 Swamp chestnut oak - cherrybark oak 62 Sweetgum - Nuttall oak - willow oak 63 Sugarberry - American elm - green ash 65 Overcup oak - water hickory 66 Atlantic white cedar 67 Baldcypress - water tupelo 68 Sweetbay - swamp tupelo - red maple 69 Palm-mangrove - other tropical Same 70 70 Elm - Ash - Cottonwood 71 Black ash - American elm - red maple 72 River birch - sycamore 73 Cottonwood 74 Willow 75 Sycamore - pecan - American elm 76 Red maple - lowland 79 Mixed lowland hardwoods Same 80 80 Maple - Beech - Birch 81 Sugar maple - beech - yellow birch 82 Black cherry 83 Black walnut 84 Red maple - northern hardwood 87 Red maple - upland 88 Northern hardwood - reverting field 89 Mixed northern hardwoods Same 90 90 Aspen - Birch 91 Aspen 92 Paper birch 93 Gray birch 94 Balsam poplar Same 99 Nonstocked Same STDAGE Stand age-The age (in years) of the stand the plot is in. If actual age is unavailable or the stand has a mix of ages, 999 is entered. Any inventory dated 1983 or later will contain stand ages recorded to the nearest year. For some older inventories, stand age was recorded in 10- or 20-year age classes and the value recorded is the center of the age class. Unknown Unknown STDSIZE Stand size class-A classification of forest land based on the predominant stocking by the size of all live trees present on the plot. The d.b.h. range for poletimber trees is from 5.0 to 8.9 inches for softwoods and from 5.0 to 10.9 inches for hardwoods. Sawtimber trees are 9 inches d.b.h. or larger for softwoods and 11 inches d.b.h. or larger for hardwoods. Seedling and sapling trees are smaller than 5 inches d.b.h. Stand size class is determined by the percent stocking represented by various size trees. For more information, visit the following web site: http://www.srsfia.usfs.msstate.edu/ewman.htm# Unknown 1 Sawtimber : Stands with an all live stocking value of at least 16.7 on which more than 50 percent of the stocking is in trees 5 inches d.b.h. or larger, and the stocking of sawtimber size trees is equal to or greater than the stocking of poletimber size trees. Same 2 Poletimber : Stands with an all live stocking value of at least 16.7 on which more than 50 percent of the stocking is in trees 5 inches d.b.h. or larger, and the stocking of sawtimber size trees is less than the stocking of poletimber size trees. Same 3 Seedling-sapling : Stands with an all live stocking value of at least 16.7 on which at least 50 percent of the stocking is in trees less than 5 inches d.b.h. Same 4 Non-stocked : Stands with an all live stocking value of less than 16.7. Same STORCUR Current stand origin-The origin of the stand in which the plot is located (planted or natural). In a planted stand, most of the trees that define the stand size class and forest type must have originated from planting or direct artificial seeding. Unknown 1 Natural stands Same 2 Planted stands Same STOROLD Old stand origin-Same as STORCUR at the time of the last inventory. STOROLD is zero for new or temporary plots. Unknown 1 Natural stands Same 2 Planted stands Same SITECL Site productivity class-A classification of timber land in terms of inherent capacity to grow crops of industrial wood. The class identifies the average potential growth in cubic feet/acre/year (trees 5 inches d.b.h. or larger to a 4-inch top) and is based on the culmination of mean annual increment of fully stocked natural stands. Unknown 1 225+ cubic feet/acre/year Same 2 165-224 cubic feet/acre/year Same 3 120-164 cubic feet/acre/year Same 4 85-119 cubic feet/acre/year Same 5 50-84 cubic feet/acre/year Same 6 20-49 cubic feet/acre/year Same SI Site index-Site index (in feet) of the stand in which the plot is located. A site index of 100 or more is recorded as 99. Unknown Unknown SIAGE Site index base age-The base age of the site index curves used to get Site index. Unknown Unknown GLUCUR Current land use class-A classification that indicates the basic biological potential of the land and its current use and legal status. Initially, land is broken into two broad classes (forest and nonforest). These broad classes are separated into the more specific classes that are actually coded. Unknown 20 Timberland Forest land that is producing or capable of producing crops of industrial wood. This land should be capable of producing 20 cubic feet of industrial wood per acre per year. Thisincludes all land formerly called commercial forest land. Same 25 Reserved Timberland Forest lands that have statutory or administrative restrictions prohibiting the harvest of trees. Examples include land within the National Wilderness Preservation System, Research Natural Areas, National Parks and Monuments, and State Parks. In National Forests, reserved forest lands are referred to collectively as withdrawn forest land. This classification of reserved can be given to either timberland or other forest land. Same 40 Other Forest Land Forest land not capable of producing crops of industrial wood. This may be the result of adverse site conditions such as sterile soils, dry climate, poor drainage, high elevation, and rockiness. Trees on these sites are usually of poor form, small size, or inferior quality and consequently are not used for industrial products. These sites often contain tree species that are not currently used for industrial wood production. (These lands were called unproductive forest in previous reports.) Same 45 Reserved Other Forest Land Forest lands that have statutory or administrative restrictions prohibiting the harvest of trees. Examples include land within the National Wilderness Preservation System, Research Natural Areas, National Parks and Monuments, and State Parks. In National Forests, reserved forest lands are referred to collectively as withdrawn forest land. This classification of reserved can be given to either timberland or other forest land. Same 60 Nonforest Land Land that has never supported forests or land formerly forested but now developed for uses such as agriculture, residence, commerce, industry, city parks, or improved roads. If located within forest areas, unimproved roads and nonforested strips must be more than 120 feet wide, and clearings and other openings in a forest area must be more than 1 acre to qualify as nonforest land. Nonforest land also includes streams, sloughs, estuaries, and canals more than 120 feet wide but less than one- eighth of a mile (660 feet) wide, or lakes, reservoirs, and ponds 1 to 40 acres in size. Same 91 Census Water Streams, sloughs, estuaries, and canals more than one- eighth of a statute mile (660 feet) wide, and lakes, reservoirs, and ponds more than 40 acres in size. Same GLUOLD Old land use class-Same as GLUCUR at the time of the last inventory. GLUOLD is zero for new or temporary plots. Unknown 20 Timberland Same 25 Reserved Timberland Same 40 Other Forest Land Same 45 Reserved Other Forest Land Same 60 Nonforest Land Same 91 Census Water Same BA Basal area-The summed-cross sectional area at breast height of all live trees 1.0 inches d.b.h. or larger on the plot. This item is usually measured by variable radius plot (prism) sampling and recorded in square feet per acre. Unknown Unknown SLOPE Slope-The average percentage of the deviation from the horizontal over the sample acre. Valid values are 0 through 99. Unknown Unknown ASPECT Aspect-The direction of drainage for most of the plot, recorded as the azimuth of this direction. Valid values are 0 through 360. 0 is only valid when slope is also 0. Unknown Unknown PHYSIO Physiographic class-A measure of soil and water conditions that affect tree growth on the plot. Unknown 3 Xeric Very dry soils where excessive drainage seriously limits both growth and species occurrence. Same 4 Xeromesic Moderately dry soils where excessive drainage limits growth and species occurrence to some extent. Same 5 Mesic Deep, well-drained soils. Growth and species occurrence limited only by climate. Same 6 Hydromesic Moderately wet soils where insufficient drainage or infrequent flooding limits growth and species occurrence to some extent. Same 7 Hydric Very wet sites where excess water seriously limits both growth and species occurrence. Same TREATOP Treatment opportunity class-Identifies the physical opportunity to improve stand conditions by applying management practices. The 11 classes are defined as follows: Unknown 1 Regeneration without site preparation The area is characterized by the absence of a manageable stand because of inadequate stocking of growing stock. Growth will be much below the potential for the site if the area is left alone. Prospects are not good for natural regeneration. Artificial regeneration will require little or no site preparation. Same 2 Regeneration with site preparation The area is characterized by the absence of a manageable stand because of inadequate stocking of growing stock. Growth will be much below the potential for the site if the area is left alone. Either natural or artificial regeneration will equire site preparation. Same 3 Stand conversion The area is characterized by stands of undesirable, chronically diseased, or off-site species. Growth and quality will be much below the potential for the site if the area is left alone. The best prospect is for conversion to a different forest type or species. Same 4 Thinning seedlings and saplings The stand is characterized by a dense stocking of growing stock. Stagnation appears likely if left alone. Stocking must be reduced to help crop trees attain dominance. Same 5 Thinning poletimber The stand is characterized by a dense stocking of growing stock. Stocking must be reduced to prevent stagnation or to confine growth to selected, high quality crop trees. Same 6 Other stocking control The stand is characterized by an adequate stocking of seedlings, saplings, and/or poletimber growing stock, mixed with competing vegetation either overtopping or otherwise inhibiting the development of crop trees. The undesirable material must be removed to release overtopped trees; to prevent stagnation; or to improve composition, form, or growth of the residual stand. Same 7 Other intermediate treatments The stand would benefit from other special treat- ments such as fertilization to improve the growth potential of the site, and pruning to improve the quality of individual crop trees. Same 8 Clearcut harvest The area is characterized by a mature or over- mature sawtimber stand of sufficient volume to justify a commercial harvest. The best prospect is to harvest the stand and regenerate. Same 9 Partial cut harvest The stand is characterized by poletimber or saw- timber size trees with sufficient merchantable volume for a commercial harvest, which will meet intermediate stand treatment needs or prepare the stand for natural regeneration. The stand is of a favored species composition and may be even or uneven aged. Included are such treatments as commercial thinning, seed tree or shelterwood regeneration, and use of the selection system to maintain an uneven age stand. Same 10 Salvage harvest The stand is characterized by excessive damage to merchantable timber because of fire, insects, disease, wind, ice, or other destructive agents. The best prospect is to remove damaged or threatened material. Same 11 No treatment Stand is characterized by an adequate stock of growing-stock trees in reasonably good condition. Same INHIBPC Percent inhibiting vegetation-Percent of the area covered by inhibiting vegetation. A value of 99 is recorded for areas that are entirely (100 percent) covered with inhibiting vegetation. This item is not available for States inventoried by the Northeastern Forest Experiment Station. Unknown Unknown NONSTPC Percent nonstocked-Percent of the area in which the plot is located that is nonstocked with all live trees (0-100 percent basis). A value of 99 is re- corded for plots that have no live stocking (100 percent nonstocked). This item is not available for States inventoried by the Northeastern Forest Experiment Station. Unknown Unknown GRSTKPC Growing stock stocking-Stocking of the plot by growing-stock trees. Data are in the form of an absolute stocking value (0-167). More detailed information on how stocking values are determined from plot data in a particular State can be obtained directly from the FIA project. Unknown Unknown ALSTKPC All live stocking-Stocking of the plot by live trees of any species. Data are in the form of absolute stocking value (0-167). See element 26, GRSTKPC, for a list of publications that describe how stocking values are determined from plot data. The following classification of plots based on the stocking value (all live and/or growing stock) is common in FIA reports. Unknown Overstocked Fully stocked Stands in which stocking of all live trees is 130.0 or more. Stands in which stocking of all live trees is from 100.0 to 129.9. Same Medium stocked Stands in which stocking of all live trees is from 60.0 to 99.9. Same Poorly stocked Stands in which stocking of all live trees is from 16.7 to 59.9. Same Nonstocked Stands in which stocking of all live trees is less than 16.7. Same REMPER Remeasurement period-The number of years between measurements of remeasured plots. This item is zero for new or temporary plots. Re- measurement period is based on the number of growing seasons between measurements. Allocation of parts of the growing season by month is different for each FIA project. Contact the individual FIA project for information on how this is done for a particular State. Unknown Unknown EXPACR Area expansion factor-The number of acres the plot represents for estimating area variables such as ownership and land cover class. The sum of EXPACR over all record 20's in a file is the total land and water area of the State. Unknown Unknown EXPVOL Volume expansion factor-The number of acres that the plot represents for estimating current volume and number of trees. Volume will be "expanded" over the appropriate acreage by multiplying EXPVOL x each volume/acre element on the tree record (record type 30). Total volume in a State is calculated by summing the expanded volume estimates from all trees on all plots in an EWDB file. Number of trees is expanded in a similar way. Unknown Unknown EXPGRO Growth expansion factor-The number of acres that the plot represents for estimating growth. Growth will be "expanded" over the appropriate acreage by multiplying EXPGRO x each growth/acre element on the tree record (record type 30). Total growth in a State is calculated by summing these expanded estimates from all trees on all plots in an EWDB file. Some plots will not have a value in this field. In some State inventories, growth is only estimated on remeasured plots. In such cases, this item would be zero for new or temporary plots. Unknown Unknown EXPMOR Mortality expansion factor-The number of acres that the plot represents for estimating mortality. Mortality will be "expanded" over the appropriate acreage by multiplying EXPMOR x each mortality/acre element on the tree record (record type 30). Total mortality in a State is calculated by summing these expanded estimates from all trees on all plots in an EWDB file. Some plots will not have a value in this field. In some State inventories, mortality is only estimated on remeasured plots. In such cases, this item would be zero for new or temporary plots. Unknown Unknown OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. EXPREM Removals expansion factor-The number of acres that the plot represents for estimating removals. Removals will be "expanded" over the appropriate acreage by multiplying EXPREM x each removals/acre element on the tree record (record type 30). Total removals in a State is calculated by summing these expanded estimates from all trees on all plots in an EWDB file. Some plots will not have a non-zero value in this field. In some State inventories, removals are only estimated on remeasured plots. In such cases, this item would be zero for new or temporary plots. Unknown Unknown LAT Latitude-The latitude of the plot recorded to the nearest 100 seconds. Unknown Unknown DESCRIPT Based on GLUCUR item. Unknown Unknown TYPOLD LONG_ AUTOID SHAPE Feature geometry. ESRI Coordinates defining the features. FIATREE1.TAB and FIATREE2.TAB Database File None CNTY_PLT Unique identifier for every FIA plot in the state. First 1 to 3 digits refer to the county FIPS code and the last three digits refer to the Plot Number Unknown Unknown SPP_### The percentage of "live" trees of species ### in the plot (data does not exist for every plot). Each species is given a code of up to 3 digits, as follows: Unknown SPP Common name Genus Species SPPGRP group NC NE SO SE 043 Atlantic white-cedar Chamaecyparis thyoides 9 2 . X X X 060 redcedar Juniperus sp. 9 2 . X . X 107 sand pine Pinus clausa 3 1 . . X X 110 shortleaf pine Pinus echinata 2 1 X X X X 111 slash pine Pinus elliottii 1 1 . . X X 115 spruce pine Pinus glabra 3 1 . . X X 121 longleaf pine Pinus palustris 1 1 . . X X 128 pond pine Pinus serotina 3 1 . X X X 131 loblolly pine Pinus taeda 2 1 X X X X 221 baldcypress Taxodium distichum 8 2 X X X X 222 pondcypress Taxodium distichum 8 2 . X . X var. nutans 311 Florida maple Acer barbatum 16 4 . . X X 313 boxelder Acer negundo 26 3 X X X X 316 red maple Acer rubrum 17 3 X X X X 341 ailanthus Ailanthus altissima 28 3 X X X X 370 birch sp. Betula sp. 27 4 . . . X 391 American hornbeam, Carpinus caroliniana 28 4 X X X X musclewood 400 hickory sp. Carya sp. 14 4 . X X X 451 southern catalpa Catalpa bignonioides 28 4 . . . X 460 hackberry sp. Celtis sp. 26 3 . . . X 471 eastern redbud Cercis canadensis 28 3 X X X X 491 flowering dogwood Cornus florida 27 4 X X X X 521 common persimmon Diospyros virginiana 27 4 X X X X 531 American beech Fagus grandifolia 18 4 X X X X 540 ash Fraxinus sp. 21 4 . X . X 552 honeylocust Gleditsia triacanthos 27 4 X X X X 555 loblolly-bay Gordonia lasianthus 26 3 . . . X 591 American holly Ilex opaca 27 4 . X X X 602 black walnut Juglans nigra 25 4 X X X X 611 sweetgum Liquidambar styraciflua 19 3 X X X X 621 yellow-poplar Liriodendron tulipifera 24 3 X X X X 652 southern magnolia Magnolia grandiflora 26 3 . . X X 653 sweetbay Magnolia virginiana 26 3 . X X X 660 apple sp. Malus sp. 28 4 X X X X 680 mulberry sp. Morus sp. 27 4 . . . X 691 water tupelo Nyssa aquatica 20 3 X X X X 692 ogeechee tupelo Nyssa ogeche 28 4 . . . X 693 blackgum Nyssa sylvatica 20 3 X X X X 694 swamp tupelo Nyssa sylvatica var. 20 3 X . X X biflora 701 eastern hophornbeam, Ostrya virginiana 28 4 X X X X ironwood 711 sourwood Oxydendrum arboreum 28 4 . X X X 721 redbay Persea borbonia 26 3 . . X X 731 sycamore Platanus occidentalis 26 3 X X X X 740 cottonwood Populus spp. 22 3 . X X X 762 black cherry Prunus serotina 26 3 X X X X 802 white oak Quercus alba 10 4 X X X X 812 southern red oak Quercus falcata var. 13 4 X X X X falcata 813 cherrybark oak, swamp red oak Quercus falcata var. 11 4 X X X X pagodaefolia 819 turkey oak Quercus laevis 28 4 . . X X 820 laurel oak Quercus laurifolia 13 4 . X X X 822 overcup oak Quercus lyrata 12 4 X X X X 824 blackjack oak Quercus marilandica 13* 4 X X X X 825 swamp chestnut oak Quercus michauxii 10 4 X X X X 826 chinkapin oak Quercus muehlenbergii 10 4 X X X X 827 water oak Quercus nigra 13 4 X X X X 831 willow oak Quercus phellos 13 4 X X X X 834 Shumard oak Quercus shumardii 11 4 X X X X 835 post oak Quercus stellata 12 4 X X X X 838 live oak Quercus virginiana 12 4 . . X X 840 bluejack oak Quercus incana 28 4 . X X X 899 scrub oak Quercus sp. 28 4 . . . X 920 willow Salix sp. 26 3 . X X X 931 sassafras Sassafras albidum 26 3 X X X X 950 basswood Tilia sp. 23 3 . X . X 970 elm Ulmus sp. 26 3 . X . . 983 chinaberry Melia azedarach 28 4 . . X X 984 water-elm Planera aquatica 28 4 . . X X 985 smoketree Cotinus obovatus 28 4 . . X . 999 unknown or not listed 28 4 X . X X *Blackjack oak is given a species group code of 28 in States inventoried by the Southeastern FIA project. Operator mailing

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