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20250701
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20260112
15073400
FGDC
Ryan Rock
RedCastle Resources
Analyst
20260112
The Vegetation Departure indicator examines identifies locations where the composition and successional stage of vegetation are departed from the natural range of variation. Vegetation Departure was first included in the TCA Assessment in 2022. This multidimensional dataset contains the departure values used for TCA Assessments in 2022, 2024, and 2025.
<div style='text-align:Left;'><div><div><p style='font-weight:bold;'><a href='https://data.fs.usda.gov/geodata/rastergateway/TCA/TCA_Vegetation_Departure.zip' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Direct Download (Raster Data Gateway)</span></span></a><span style='text-decoration:underline;'><span> </span></span></p><p><span style='font-weight:bold;'><span>Objective:</span></span><span><span> Identify locations where vegetation composition and successional stage are departed from the natural range of variation.</span></span></p><p><span style='font-weight:bold;'><span>Data:</span></span><span><span> </span></span><span><span>Vegetation departure within a TCA landscape ecosystem describes the degree to which the observed proportion (percent, 0-100%) of successional classes (i.e., A through E) derived from Landfire Succession Classes (SClass) dataset, is departed from the proportions one would expect based on the reference condition contained in the Landfire Biophysical Settings (BpS) dataset at each cell location. Departure is calculated as: </span></span></p><p><span><span>Departure = 100 – Similarity </span></span></p><p><span><span>where Similarity = ∑ (min(Ai,Bi)) over all classes i,…n</span></span></p><p><span><span>Departure is determined for each BPS within an LTA, and then weighted average for departure is calculated for the LTA based on the areal extent of the BPS. After being added to the assessment in 2022, the update timeline of the input source data from LANDFIRE did not align with the timing of TCA assessment in 2023, so data from 2022 was reused. The 2024 and 2025 TCA Assessments used updated source data to create new vegetation departure indicator data.</span></span></p><p><span style='font-weight:bold;'><span>Units: </span></span><span><span>Percent</span></span></p><p><span style='font-weight:bold;'><span>Format:</span></span><span><span> Raster data are continuous</span></span></p><p><span style='font-weight:bold;'><span>Resolution:</span></span><span><span> 30m</span></span></p><p><span style='font-weight:bold;'><span>Source: </span></span><span><span>Landfire </span></span><a href='https://www.landfire.gov/vegetation/sclass' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Succession Class</span></span></a><span><span> and </span></span><a href='https://www.landfire.gov/vegetation/bps' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Biophysical Setting</span></span></a><span><span>, methods from </span></span><a href='https://www.mdpi.com/2073-445X/11/1/28' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Swaty et al. 2022</span></span></a></p><p style='font-weight:bold;'><span><span>Additional Resources:</span></span></p><p><span><span>Details on </span></span><a href='https://usfs.box.com/s/79vx1b42xg8u6ivjombxjes36nzfhgml' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Method Changes and Source Data Versions</span></span></a></p><p><span><span>Overview of the Terrestrial Condition Assessment: </span></span><a href='https://terrestrial-condition-assessment-usfs.hub.arcgis.com/' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>TCA Hubsite</span></span></a><span><span> or </span></span><a href='https://www.youtube.com/watch?v=Kf0P3cAq1rs&list=PLwRbAc4x5n94rLca1CXXuugtRDt_G666M&index=19' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Landfire Office Hour Presentation</span></span></a></p><p><span><span>Explore the results of the most recent assessment: </span></span><a href='https://apps.fs.usda.gov/gtac-toolsms/tca/' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>TCA Interactive Data Viewer</span></span></a></p><p><span style='font-size:12pt'>Learn more about the TCA KPI: </span><a href='https://cxodashboard.dl.usda.gov/t/NRE/views/EcologicalConditionOutcomes_17531128629260/EcologicalOutcomes' style='text-decoration:underline;'><span>TCA Dashboard</span></a></p><p><span style='font-size:12pt'>*if you have trouble viewing the Dashboard, please submit a </span><a href='https://usdagcc.sharepoint.com/sites/fs-wo-cdoc/SitePages/Dashboards.aspx?OR=Teams-HL&CT=1688673427525' style='text-decoration:underline;'><span>Tableau Viewer Access Request</span></a></p></div></div></div>
Methods from Swaty, R.; Blankenship, K.; Hall, K.R.; Smith, J.; Dettenmaier, M.; Hagen, S. Assessing Ecosystem Condition: Use and Customization of the Vegetation Departure Metric. Land 2022, 11,28 https://www.mdpi.com/2073-445X/11/1/28; Data from http://www.landfire.gov (S-class and BPS settings, accessed Feb. 6, 2024)
USFS_EDW_TCA_VegetationDeparture
2026-01-12T00:00:00
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Sarah Anderson
Forest Service
Ecologist, Terrestrial Condition Assessment Coordinator
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TCA
Terrestrial Condition Assessment
Vegetation
Departure
Similarity
Composition
Succession
Geospatial Office
USFS
<div style='text-align:Left;'><div><div><p><span><span>The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.</span></span></p><p><span><span>Additionally, The U.S. Forest Service waives copyright and related rights in the work worldwide through the CC0 (which can be found at https://creativecommons.org/public-domain/cc0/).</span></span></p><p style='font-weight:bold;'><span><span>Non-Discrimination Statement</span></span></p><p><span><span>In accordance with Federal civil rights law and U.S. Department of Agriculture (USDA) civil rights regulations and policies, the USDA, its Agencies, offices, and employees, and institutions participating in or administering USDA programs are prohibited from discriminating based on race, color, national origin, religion, sex, disability, age, marital status, family/parental status, income derived from a public assistance program, political beliefs, or reprisal or retaliation for prior civil rights activity, in any program or activity conducted or funded by USDA (not all bases apply to all programs). Remedies and complaint filing deadlines vary by program or incident.</span></span></p><p><span><span>Persons with disabilities who require alternative means of communication for program information (e.g., Braille, large print, audiotape, American Sign Language, etc.) should contact the State or local Agency that administers the program or contact USDA through the Telecommunications Relay Service at 711 (voice and TTY). Additionally, program information may be made available in languages other than English.</span></span></p><p><span><span>To file a program discrimination complaint, complete the USDA Program Discrimination Complaint Form, AD-3027, found online at How to File a Program Discrimination Complaint and at any USDA office or write a letter addressed to USDA and provide in the letter all of the information requested in the form. To request a copy of the complaint form, call (866) 632-9992. Submit your completed form or letter to USDA by: (1) mail: U.S. Department of Agriculture, Office of the Assistant Secretary for Civil Rights, 1400 Independence Avenue, SW, Mail Stop 9410, Washington, D.C. 20250-9410; (2) fax: (202) 690-7442; or (3) email: program.intake@usda.gov.</span></span></p><p><span><span>USDA is an equal opportunity provider, employer, and lender.</span></span></p></div></div></div>
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The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.
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