Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

BLM Natl FIAT Southern Great Basin Greater Sage-Grouse Wildfire Invasive Annual Grasses and Conifer Expansion Assessment (SGB) Document

Metadata Updated: June 24, 2024

Southern Great Basin - Greater Sage-Grouse Wildfire, Invasive Annual Grasses, and Conifer Expansion Assessment Document, March 2015. The FIAT assessments were developed using methods described in the FIAT Report (Fire and Invasive Assessment Team June 2014). This process is designed to identify strategies that ameliorate threats to Greater Sage-Grouse (Centrocercus urophasianus) and their habitats. It incorporates emerging science, regional findings, and local data in identifying management opportunities that counter detrimental ecological trends in wildfire, invasive annual grasses, and conifer expansion. The Bureau of Land Management issued an Instruction Memorandum in August 2014 to guide interagency partners in completing the wildfire and invasive species assessments. These assessments focus on five priority landscapes in Greater Sage-Grouse (GRSG) habitats. Three threats: wildfire, invasive annual grasses, and conifer expansion were analyzed for implementing the following management strategies or conservation activities: habitat restoration, fuels management, fire operations, and post-fire rehabilitation. These assessments are non-decisional and encompass portions of Idaho, Nevada, Oregon, and Utah. Potential treatment areas in project planning areas represent an initial starting point that will need further analysis and refinement under the National Environmental Policy Act (NEPA) planning process. During the development of project planning areas, no constraints due to funding or consideration of landownership were taken into account. This assessment document was Step 2 in the completion of the wildlife and invasive species assessments for priority landscapes in the Greater Sage-Grouse habitats.  Point of Contact: Bureau of Land Management, National Operations Center, Fire Resource Data Liaison (BLM_OC_Fire_Geospatial@blm.gov)

Access & Use Information

Public: This dataset is intended for public access and use. License: us-pd

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date June 24, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date June 24, 2024
Publisher Bureau of Land Management
Maintainer
@Id http://datainventory.doi.gov/id/dataset/f975bb85fda3bfb4aaedf66b6a9e443d
Identifier https://www.arcgis.com/home/item.html?id=292aad82963b4446800b4a15b764d637
Data First Published 2022-04-29T08:37:25Z
Data Last Modified 2024-06-22T08:30:10Z
Category non-geospatial
Public Access Level public
Bureau Code 010:04
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 3065788f-f4a8-44bb-9552-987e5551f16e
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Homepage URL https://gbp-blm-egis.hub.arcgis.com/documents/BLM-EGIS::blm-natl-fiat-southern-great-basin-greater-sage-grouse-wildfire-invasive-annual-grasses-and-conifer-expansion-assessment-sgb-document
License http://www.usa.gov/publicdomain/label/1.0/
Old Spatial -124.4783,29.0842,-82.6747,49.0004
Program Code 010:000
Publisher Hierarchy White House > U.S. Department of the Interior > Bureau of Land Management
Source Datajson Identifier True
Source Hash 070a77062a6a742910d6947d56b178783d06fa23cc27f3a8764f12492e65dadd
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -124.4783, 29.0842, -124.4783, 49.0004, -82.6747, 49.0004, -82.6747, 29.0842, -124.4783, 29.0842}

Didn't find what you're looking for? Suggest a dataset here.