<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260910</CreaDate>
<CreaTime>09555100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>BLM ID Completed Vegetation Treatment Area VTRT</resTitle>
</idCitation>
<searchKeys>
<keyword>biota</keyword>
<keyword>BLM</keyword>
<keyword>Bureau of Land Management</keyword>
<keyword>Department of the Interior</keyword>
<keyword>Disturbance</keyword>
<keyword>DOI</keyword>
<keyword>Emergency Stabilization and Rehabilitation</keyword>
<keyword>environment</keyword>
<keyword>ESRS</keyword>
<keyword>farming</keyword>
<keyword>Fire</keyword>
<keyword>Forest</keyword>
<keyword>Forest Vegetation Information System</keyword>
<keyword>FORVIS</keyword>
<keyword>Idaho</keyword>
<keyword>Idaho State Office</keyword>
<keyword>ISO</keyword>
<keyword>Land Use Planning</keyword>
<keyword>Management</keyword>
<keyword>MICRO*STORMS</keyword>
<keyword>National Fire Plan Operations and Reporting System</keyword>
<keyword>National Invasive Species Information Management System</keyword>
<keyword>Nevada</keyword>
<keyword>NFPORS</keyword>
<keyword>NISIMS</keyword>
<keyword>Rangeland Improvement Project System</keyword>
<keyword>RIPS</keyword>
<keyword>SCID</keyword>
<keyword>Stewardship Contracting Information Database</keyword>
<keyword>Timber Sale Information System</keyword>
<keyword>TSIS</keyword>
<keyword>Vegetation</keyword>
<keyword>Vegetation Treatments</keyword>
<keyword>Western Oregon&amp;apos</keyword>
<keyword>s Vegetation and Land Management Treatment Database</keyword>
</searchKeys>
<idPurp>This data was created in response to and supportive of BLM WO IM 2011-115, Vegetation Treatment Area Data Standard. The boundaries of vegetation treatments performed by the BLM, are important to the fire community, land health, range improvements, forest management, invasive species control, emergency stabilization, and to the BLM as a whole. They provide the locations of actions that have been taken to meet land health objectives whether through fuels reduction, emergency stabilization, and burned area rehabilitation, changing vegetation composition or controlling weeds. This data will provide the standard template for storage of treatment polygons representing the tract of land where a unique treatment is completed. The intended use of all data in the BLM's GIS library is to support diverse activities including planning, management, maintenance, research, and interpretation.</idPurp>
<idAbs>&lt;div style='text-align:Left;font-size:12pt'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;This data set is a warehouse of completed vegetation treatment areas and associated attribute information for the BLM. Each system that currently maintains vegetation treatments will provide treatment area information on a regular basis to the treatment area data set. Vegetation treatments on BLM-managed land include Invasive Species Treatments, Emergency Stabilization and Rehabilitation Treatments, Range Improvement Treatments, Fuels Treatments and/or Forest Treatments. Vegetation treatments documented in this data set may be categorized by the general type of treatment that is used on the area being treated. These different types of vegetation treatments are Chemical, Physical, Biological, and Prescribed Fire. The first three are further categorized by the treatment sub-type. Chemical treatments are either pesticide or fertilizer; Physical treatments are alteration, planting, or removal; and Biological treatments are either classical or non-classical. Prescribed Fire is the only fire related treatment and has no sub-types. For more information contact us at blm_id_stateoffice@blm.gov.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idCredit>Bureau of Land Management (BLM), Idaho State Office</idCredit>
<resConst>
<Consts>
<useLimit>&lt;div style='text-align:Left;font-size:12pt'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;These data are provided by Bureau of Land Management (BLM) "as is" and might contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the sources from which they were derived, and both scale and accuracy may vary across the data set. These data might not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office from which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This data may be updated by the BLM without notification.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
