Timeline / Data.gov — Environment Datasets
changed Source changed
A new raw object was archived. Both versions are preserved. 3613 line(s) added, 2896 line(s) removed.
Evidence
| Source | Data.gov — Environment Datasets |
|---|---|
| Agency | Data.gov |
| URL | https://api.gsa.gov/technology/datagov/v4/search?q=environment&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY} |
| Observed by | Civic Memory, directly, on 2026-09-14T00:22:56+00:00 |
| Content type | application/json |
| Current object |
dbca26831aeee4a200b2e40013b01500f4d9f6bad9bf11db54eabbe71f17497d
download raw
metadata
|
| Previous object |
0d5f0bf36f0ae0a9183aee09aed2589fc26a49d39f504a6043d7d633b27df54a
download raw
metadata
|
What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-09-14T00:22:56+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 3613 line(s) added, 2896 line(s) removed.
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OPP determines if ESA-listed species or their designated critical habitat may be affected by pesticide products. Pesticide products that “may affect” an ESA-listed species or its designated critical habitat may be subject to additional regulation. Species ranges represent anywhere an individual of the listed species could be found based on the best available information at the time of delineation. As defined in ESA, critical habitat delineates habitat characteristics in specific geographical areas and may be occupied or unoccupied by a threatened or endangered species at the time of listing. These areas must contain physical or biological features essential to conservation of a species and may require special management considerations or protection. Critical habitat may also include areas that are not currently occupied by the species but that may be needed for their recovery. Range areas represent more generalized habitat where species are or could be found based on the best available information. For some species, best available information is based on site specific surveys. For others, it will be historical location information based on political boundaries. These areas are, therefore, less geographically explicit than critical habitat. Consideration of both the species range and critical habitat ensures the conservation of the ecosystems upon which endangered and threatened species depend. To support EPA’s implementation of ESA, critical habitat and range data for species listed under ESA Section 7 were obtained by the US EPA from the USFWS Environmental Conservation Online System (ECOS) database in November 2020. These data were supplemented with areas provided by NOAA’s National Marine Fisheries Service (NMFS) where NOAA has species authority. For NMFS species not found in either location, a request was made directly to the NMFS scientists. 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The data are intended for river-basin level assessment and general analysis and are not suitable for site-specific analyses.", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/p9q9d135", - "description": "Landing page for access to the data", - "format": "XML", - "mediaType": "application/http", - "title": "Digital Data" - }, - { - "@type": "dcat:Distribution", - "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.b5b40ce4-0aca-4cc1-bf76-7e59d46122fa.xml", - "format": "XML", - "mediaType": "text/xml", - "title": "Original Metadata" - } - ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_b5b40ce4-0aca-4cc1-bf76-7e59d46122fa", - "keyword": [ - "Montana", - "USGS:b5b40ce4-0aca-4cc1-bf76-7e59d46122fa", - "Wyoming", - "Yellowstone River", - "Yellowstone River Basin", - "environment", - "geoscientificInformation", - "inlandWaters", - "metals", - "mineral deposits", - "mineralized areas", - "uranium" - ], - "modified": "2004-11-08T00:00:00Z", - "publisher": { - "@type": "org:Organization", - "name": "U.S. Geological Survey" - }, - "spatial": "-110.7513, 42.4787, -105.6860, 45.6279", - "theme": [ - "geospatial" - ], - "title": "Mineral resource areas of the Yellowstone River Basin, Montana and Wyoming" - }, - "description": "Mineral resource areas are defined as those areas with a high likelihood of containing occurrences of valuable mineral deposits. A variety of sources of minerals information were consulted in compiling a digital map of mineral resource areas for metallic minerals in the Yellowstone River Basin. Source scales varied, but were no smaller than 1:500,000. The data are intended for river-basin level assessment and general analysis and are not suitable for site-specific analyses.", - "distribution_titles": [ - "Digital Data", - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/a3d27819-ec90-4667-8a66-cafb0727f543", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/a3d27819-ec90-4667-8a66-cafb0727f543/raw", - "has_download": true, - "has_spatial": true, - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_b5b40ce4-0aca-4cc1-bf76-7e59d46122fa", - "keyword": [ - "Montana", - "USGS:b5b40ce4-0aca-4cc1-bf76-7e59d46122fa", - "Wyoming", - "Yellowstone River", - "Yellowstone River Basin", - "environment", - "geoscientificInformation", - "inlandWaters", - "metals", - "mineral deposits", - "mineralized areas", - "uranium" - ], - "last_harvested_date": "2026-09-12T23:41:59.359148", - "organization": { - "aliases": [ - "dept" - ], - "code_repo_exempt": false, - "code_repo_url": null, - "description": null, - "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", - "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", - "name": "Department of the Interior", - "organization_type": "Federal Government", - "slug": "doi" - }, - "parent_identifier": null, - "popularity": 1, - "publisher": "U.S. Geological Survey", - "slug": "mineral-resource-areas-of-the-yellowstone-river-basin-montana-and-wyoming", - "spatial_centroid": { - "lat": 43.73838, - "lon": -108.72518 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -110.7513, - 42.4787 - ], - [ - -110.7513, - 45.6279 - ], - [ - -105.686, - 45.6279 - ], - [ - -105.686, - 42.4787 - ], - [ - -110.7513, - 42.4787 - ] - ] - ], - "type": "Polygon" - }, - "theme": [ - "geospatial" - ], - "title": "Mineral resource areas of the Yellowstone River Basin, Montana and Wyoming", - "type": "dataset" - }, - { - "_score": 6.2700806, + "_score": 6.2693143, "_sort": [ 1789254573703, - 6.2700806, + 6.2693143, 1, "c1f9c3d4-e831-4f3d-988f-0bc0f169215e" ], @@ -2532,10 +5775,10 @@ "type": "dataset" }, { - "_score": 6.3396373, + "_score": 6.337139, "_sort": [ 1789254471726, - 6.3396373, + 6.337139, 1, "aa28d4b4-722e-4c1c-9bb9-f2759beda16f" ], @@ -2708,10 +5951,10 @@ "type": "dataset" }, { - "_score": 6.6169777, + "_score": 6.615804, "_sort": [ 1789254471353, - 6.6169777, + 6.615804, 2, "c0094acd-76e8-4918-a778-545c3ca3692b" ], @@ -2870,10 +6113,10 @@ "type": "dataset" }, { - "_score": 6.609128, + "_score": 6.6085334, "_sort": [ 1789254470993, - 6.609128, + 6.6085334, 2, "2db6d847-cff1-4339-8273-432cc90c7737" ], @@ -3030,10 +6273,10 @@ "type": "dataset" }, { - "_score": 6.6169777, + "_score": 6.615804, "_sort": [ 1789254402934, - 6.6169777, + 6.615804, 1, "42278bed-ef59-41ac-8c42-ababcb8e99fc" ], @@ -3192,10 +6435,10 @@ "type": "dataset" }, { - "_score": 5.6917143, + "_score": 5.6904163, "_sort": [ 1789254327870, - 5.6917143, + 5.6904163, 6, "d4f53c92-ef00-4049-9da6-8fab8b7501a3" ], @@ -3390,10 +6633,10 @@ "type": "dataset" }, { - "_score": 5.9641223, + "_score": 5.9632196, "_sort": [ 1789254268132, - 5.9641223, + 5.9632196, 1, "9430b1c1-d8d0-4fa9-986d-1d82ebe00eaf" ], @@ -3572,10 +6815,10 @@ "type": "dataset" }, { - "_score": 7.9001017, + "_score": 7.8993974, "_sort": [ 1789254182450, - 7.9001017, + 7.8993974, 3, "d5510ca0-8b5e-416f-bcbf-e3c284305059" ], @@ -3718,307 +6961,10 @@ "type": "dataset" }, { - "_score": 3.4193058, - "_sort": [ - 1789242261432, - 3.4193058, - 2, - "6c61f8c3-5627-4086-af57-00e6e537f626" - ], - "dcat": { - "accessLevel": "public", - "bureauCode": [ - "010:24" - ], - "contactPoint": { - "@type": "vcard:Contact", - "fn": "NPS IRMA Help", - "hasEmail": "mailto:NRSS_DataStore@nps.gov" - }, - "description": "Inventory of intertidal fish in Ebey's Landing National Historical Reserve tabular data 2001-2005.Coastal and Fisheries staff from Olympic National Park conducted a 3-day inventory of intertidal fishes adjacent to the shoreline of Ebey’s Landing National Historical Reserve. 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These differences likely reflect the physical habitat differences between the open coastline of Admiralty Inlet and the protected Penn Cove.", - "distribution": [ - { - "@type": "dcat:Distribution", - "description": "NCCN EBLA intertidal fish inventory 2001-2005 tabular data: NCCN_IntertdlFish_FIa07_2001-2005_DISTRIBUTION.zip", - "downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/530666?Reference=2206422", - "format": "zip", - "mediaType": "application/zip", - "title": "NCCN_IntertdlFish_FIa07_2001-2005_DISTRIBUTION.zip" - }, - { - "@type": "dcat:Distribution", - "description": "Original FGDC metadata used to create this reference. Be aware that some of the fields, including file paths, may be out of date. 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The primary purpose of this dataset is to inform potential fire and fuels response during wildland fires by resource advisors to ensure GRSG habitat is considered during fire response efforts. The consolidated data dissolves the BLM 2025 Greater Sage-Grouse Approved Resource Management Plan (RMP) Amendment/Records of Decision (ROD) with the USFWS GRSG Priority Areas for Conservation (PACs), and the GRSG Current Range.\n\nThe consolidated data dissolves the following datasets together to represent a maximum extent of GRSG range. Please see the associated metadata for each source dataset for additional details on these agency datasets:\n\n(1) BLM 2025 Greater Sage-Grouse Approved Resource Management Plan (RMP) Amendment/Records of Decision (ROD). The dataset represents the westwide habitat management areas as defined in the associated RMP Amendment. Full dataset can be found here: https://services1.arcgis.com/KbxwQRRfWyEYLgp4/arcgis/rest/services/BLM_Natl_WesternUS_GRSG_ROD_HabitatMgmtAreas_Feb_2026/FeatureServer/0 \n\n(2) USFWS GRSG Priority Areas for Conservation (PACs), which includes Bi-State GRSG. Full dataset can be found here: https://gis-fws.opendata.arcgis.com/datasets/grsg-priority-areas-for-conservation-pacs/explore?location=43.446373%2C-112.913086%2C5 \n\n(3) GRSG Current Range used by the USFWS during the 2015 Status Review. Current Range is defined as areas believed to be currently occupied. Data map can be found here: https://www.usgs.gov/media/images/greater-sage-grouse-range; and current GRSG range data is available from multiple sources including here: https://www.sciencebase.gov/catalog/item/56f96693e4b0a6037df06034 \n\nThe following habitat management areas were used in the creation of this feature class: \n\nPHMA: Areas identified as having the highest habitat value for maintaining sustainable GRSG populations and include breeding, late brood-rearing, and winter concentration areas. \n\nGHMA: Areas that are occupied seasonally or year-round and are outside of PHMAs. \n\nIHMA: Areas in Idaho that provide a management buffer for and that connect patches of PHMAs. IHMAs encompass important areas of generally moderate to high habitat value habitat or populations but that are not as important as PHMAs. \n\nLCHMA: Areas in Colorado that have been identified as broader regions of linkage connectivity important to facilitate the movement of GRSG and maintain ecological processes. \n\nCHMA: Part of the Unique Habitat Management Area (UHMA) as identified in the MT/DK 2025 GRSG Approved RMP Amendment/ROD. Connectivity HMA (CHMA) are areas that provide regions of connectivity important to facilitate long-distance movements of GRSG and maintain ecological processes, including between priority populations, adjacent states, and across international borders, including but not limited to Montana Connectivity areas. This HMA boundary represents where stopover sites may exist, likely within a matrix of degraded or converted habitat or non-habitat (such as in Montana general habitat within the HiLine). Areas are delineated using results from analyses of seasonal migratory movements and habitat characteristics conducive to movements, particularly between silver sagebrush and big sagebrush habitats. \n\nLMHMA: Part of the Unique Habitat Management Area (UHMA) as identified in the MT/DK 2025 GRSG Approved RMP Amendment/ROD. Little Missouri HMA (LMHMA) is an identified core area by the states of Montana and North Dakota. This area contains high-quality GRSG habitat in Montana and encompasses the remaining GRSG habitat in North Dakota. A substantial portion of the area is the Cedar Creek Anticline unitized oil and gas field. Formerly occupied habitat has been converted or degraded, an outbreak of West Nile Virus impacted bird numbers, and GRSG are challenged by being on the periphery of their range. Unique management and a focus on restoration efforts is needed to maintain connectivity of sagebrush and GRSG habitat between Montana and North Dakota. \n\nSCHMA: Part of the Unique Habitat Management Area (UHMA) as identified in the MT/DK 2025 GRSG Approved RMP Amendment/ROD. South Carter HMA (SCHMA) is an identified core area by the state of Montana. This area has a high density of bentonite mining. 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}, - "spatial": "-118.0169,46.0219,-110.5686,41.1925", - "theme": [ - "geospatial" - ], - "title": "BLM Natl WesternUS GRSG Range for Fire Response" - }, - "description": "This dataset represents multiple consolidated submissions of Greater Sage-Grouse (GRSG) data to represent habitat management areas, range, and potential habitat from the Department of Interior (DOI) Bureau of Land Management (BLM) and US Fish and Wildlife Service (USFWS). The primary purpose of this dataset is to inform potential fire and fuels response during wildland fires by resource advisors to ensure GRSG habitat is considered during fire response efforts. The consolidated data dissolves the BLM 2025 Greater Sage-Grouse Approved Resource Management Plan (RMP) Amendment/Records of Decision (ROD) with the USFWS GRSG Priority Areas for Conservation (PACs), and the GRSG Current Range.\n\nThe consolidated data dissolves the following datasets together to represent a maximum extent of GRSG range. Please see the associated metadata for each source dataset for additional details on these agency datasets:\n\n(1) BLM 2025 Greater Sage-Grouse Approved Resource Management Plan (RMP) Amendment/Records of Decision (ROD). The dataset represents the westwide habitat management areas as defined in the associated RMP Amendment. Full dataset can be found here: https://services1.arcgis.com/KbxwQRRfWyEYLgp4/arcgis/rest/services/BLM_Natl_WesternUS_GRSG_ROD_HabitatMgmtAreas_Feb_2026/FeatureServer/0 \n\n(2) USFWS GRSG Priority Areas for Conservation (PACs), which includes Bi-State GRSG. Full dataset can be found here: https://gis-fws.opendata.arcgis.com/datasets/grsg-priority-areas-for-conservation-pacs/explore?location=43.446373%2C-112.913086%2C5 \n\n(3) GRSG Current Range used by the USFWS during the 2015 Status Review. Current Range is defined as areas believed to be currently occupied. Data map can be found here: https://www.usgs.gov/media/images/greater-sage-grouse-range; and current GRSG range data is available from multiple sources including here: https://www.sciencebase.gov/catalog/item/56f96693e4b0a6037df06034 \n\nThe following habitat management areas were used in the creation of this feature class: \n\nPHMA: Areas identified as having the highest habitat value for maintaining sustainable GRSG populations and include breeding, late brood-rearing, and winter concentration areas. \n\nGHMA: Areas that are occupied seasonally or year-round and are outside of PHMAs. \n\nIHMA: Areas in Idaho that provide a management buffer for and that connect patches of PHMAs. IHMAs encompass important areas of generally moderate to high habitat value habitat or populations but that are not as important as PHMAs. \n\nLCHMA: Areas in Colorado that have been identified as broader regions of linkage connectivity important to facilitate the movement of GRSG and maintain ecological processes. \n\nCHMA: Part of the Unique Habitat Management Area (UHMA) as identified in the MT/DK 2025 GRSG Approved RMP Amendment/ROD. Connectivity HMA (CHMA) are areas that provide regions of connectivity important to facilitate long-distance movements of GRSG and maintain ecological processes, including between priority populations, adjacent states, and across international borders, including but not limited to Montana Connectivity areas. This HMA boundary represents where stopover sites may exist, likely within a matrix of degraded or converted habitat or non-habitat (such as in Montana general habitat within the HiLine). Areas are delineated using results from analyses of seasonal migratory movements and habitat characteristics conducive to movements, particularly between silver sagebrush and big sagebrush habitats. \n\nLMHMA: Part of the Unique Habitat Management Area (UHMA) as identified in the MT/DK 2025 GRSG Approved RMP Amendment/ROD. Little Missouri HMA (LMHMA) is an identified core area by the states of Montana and North Dakota. This area contains high-quality GRSG habitat in Montana and encompasses the remaining GRSG habitat in North Dakota. A substantial portion of the area is the Cedar Creek Anticline unitized oil and gas field. Formerly occupied habitat has been converted or degraded, an outbreak of West Nile Virus impacted bird numbers, and GRSG are challenged by being on the periphery of their range. Unique management and a focus on restoration efforts is needed to maintain connectivity of sagebrush and GRSG habitat between Montana and North Dakota. \n\nSCHMA: Part of the Unique Habitat Management Area (UHMA) as identified in the MT/DK 2025 GRSG Approved RMP Amendment/ROD. South Carter HMA (SCHMA) is an identified core area by the state of Montana. This area has a high density of bentonite mining. Unique management is needed to balance GRSG habitat and mineral development in the short term, while planning for longer-term reclamation. \n\nOHMA: Areas in Nevada and Northeastern California, identified as other unmapped habitat in the Proposed RMP/Final EIS, that are within the Planning Area and contain seasonal or connectivity habitat areas. \n\nSHMA: GRSG stewardship habitat areas in Wyoming that are generally characterized by large percentages of private land, existing disturbance and prior and existing rights, and fragmented landscapes that continue to support substantial populations of GRSG, provide important connections between populations, and are important for maintaining GRSG populations.", - "distribution_titles": [ - "ISO-19139 metadata", - "CSV", - "Excel", - "Feature Collection", - "File Geodatabase", - "GeoJSON", - "GeoPackage", - "KML", - "Shapefile", - "SQLite", - "ArcGIS Hub Dataset", - "ArcGIS GeoService" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/546fabce-b61f-4a83-9ec4-38bc11a45a38", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/546fabce-b61f-4a83-9ec4-38bc11a45a38/raw", - "has_download": false, - "has_spatial": true, - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=7a3378b8ba4040238384c36695c40256&sublayer=0", - "keyword": [ - "Adaptive Management", - "Allocation Decision Analysis", - "Anthro Mountain", - "BLM", - "Bureau of Land Management", - "CA", - "CO", - "California", - "Colorado", - "Core Areas", - "GHMA", - "GRSG", - "Geospatial", - "Greater sage-grouse", - "HUB-GRSG", - "ID", - "IHMA", - "Idaho", - "LCHMA", - "MT", - "Management", - "Montana", - "ND", - "NV", - "Nevada", - "North Dakota", - "OHMA", - "OR", - "Oregon", - "PHMA", - "Plan", - "Public Lands", - "RHMA", - "ROD", - "Record of Decision", - "SD", - "Sage-Grouse", - "South Dakota", - "UDH", - "US", - "USFS", - "UT", - "Undesignated Habitat", - "United States", - "Update", - "Utah", - "WA", - "WY", - "Washington", - "Wildlife", - "Wyoming", - "biota", - "boundaries", - "environment", - "location" - ], - "last_harvested_date": "2026-09-12T18:54:42.806422", - "organization": { - "aliases": [ - "dept" - ], - "code_repo_exempt": false, - "code_repo_url": null, - "description": null, - "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", - "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", - "name": "Department of the Interior", - "organization_type": "Federal Government", - "slug": "doi" - }, - "parent_identifier": null, - "popularity": 0, - "publisher": "Bureau of Land Management", - "slug": "blm-natl-westernus-grsg-range-for-fire-response", - "spatial_centroid": { - "lat": 44.090140000000005, - "lon": -115.03758 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -118.0169, - 46.0219 - ], - [ - -118.0169, - 41.1925 - ], - [ - -110.5686, - 41.1925 - ], - [ - -110.5686, - 46.0219 - ], - [ - -118.0169, - 46.0219 - ] - ] - ], - "type": "Polygon" - }, - "theme": [ - "geospatial" - ], - "title": "BLM Natl WesternUS GRSG Range for Fire Response", - "type": "dataset" - }, - { - "_score": 7.9001017, - "_sort": [ - 1789239268168, - 7.9001017, - 0, - "514dcd0a-9cf0-4a97-89b7-868caaabfb6c" - ], - "dcat": { - "accessLevel": "public", - "bureauCode": [ - "010:04" - ], - "contactPoint": { - "@type": "vcard:Contact", - "fn": "Bureau of Land Management, blm_co_info", - "hasEmail": "mailto:blm_co_info@blm.gov" - }, - "description": "<div style='text-align:Left;'><div><div><p><span>This data set consists of digital mapping data describing polygon geometry and linked attribute data for BLM Colorado's Quarterly Oil and Gas Lease Sale Parcels in the State of Colorado, BLM. 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These data are consolidated from Field Office inputs.</span></p></div></div></div>", - "distribution_titles": [ - "ISO-19139 metadata", - "CSV", - "Excel", - "Feature Collection", - "File Geodatabase", - "GeoJSON", - "GeoPackage", - "KML", - "Shapefile", - "SQLite", - "ArcGIS Hub Dataset", - "ArcGIS GeoService" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/2b276f0c-6dbe-4934-80a8-71cd0830af2f", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/2b276f0c-6dbe-4934-80a8-71cd0830af2f/raw", - "has_download": false, - "has_spatial": true, - "identifier": "https://blm-egis.maps.arcgis.com/home/item.html?id=f93231c6242d493e9390d142858e3256&sublayer=0", - "keyword": [ - "Administration", - "Authorization", - "BLM", - "Bureau of Land Management", - "CO", - "Colorado", - "DOI", - "Department of the Interior", - "Energy", - "Expression of Interest", - "Fluid Minerals", - "Gas", - "Geology", - "Geospatial", - "Minerals", - "Oil", - "Renewables", - "boundaries", - "environment", - "geoscientificInformation" - ], - "last_harvested_date": "2026-09-12T18:54:28.168939", - "organization": { - "aliases": [ - "dept" - ], - "code_repo_exempt": false, - "code_repo_url": null, - "description": null, - "id": "143529f7-2eef-4a07-b227-93ac9e84fad8", - "logo": "https://raw.githubusercontent.com/GSA/logo/master/doi.png", - "name": "Department of the Interior", - "organization_type": "Federal Government", - "slug": "doi" - }, - "parent_identifier": null, - "popularity": 0, - "publisher": "Bureau of Land Management", - "slug": "blm-co-oil-and-gas-lease-sale-q1-march-2027", - "spatial_centroid": { - "lat": 40.6789, - "lon": -106.69128 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -108.3854, - 40.9949 - ], - [ - -108.3854, - 40.2049 - ], - [ - -104.1501, - 40.2049 - ], - [ - -104.1501, - 40.9949 - ], - [ - -108.3854, - 40.9949 - ] - ] - ], - "type": "Polygon" - }, - "theme": [ - "geospatial" - ], - "title": "BLM CO Oil and Gas Lease Sale Q1 (March) 2027", - "type": "dataset" - }, - { - "_score": 11.096727, - "_sort": [ - 1789172782067, - 11.096727, - 4, - "da2aaec4-62bc-4c37-8d6c-4b518821d658" - ], - "dcat": { - "accessLevel": "public", - "bureauCode": [ - "010:12" - ], - "contactPoint": { - "@type": "vcard:Contact", - "fn": "Center for Large Landscape Conservation", - "hasEmail": "mailto:tyler@largelandscapes.org" - }, - "description": "Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife, 2) estimate how wildlife species of concern are expected to respond to these changes, 3) develop climate-smart strategies to help stakeholders manage public and private lands in ways that allow wildlife to continue to move in response to changing conditions, and 4) explore how well existing management plans and conservation efforts are expected to support crucial connections for wildlife under climate change. We assessed vulnerability of eight wildlife species and four biomes to climate change, with a focus on potential impacts to connectivity. Our assessment provides some insights about where these species and biomes may be most vulnerable or most resilient to loss of connectivity and how this information could support climate-smart management action. We also encountered high levels of uncertainty in how climate change is expected to alter vegetation and how wildlife are expected to respond to these changes. This uncertainty limits the value of our assessment for informing proactive management of climate change impacts on both species-specific and biome-level connectivity (although biome-level assessments were subject to fewer sources of uncertainty). We offer suggestions for improving the management relevance of future studies based on our own insights and those of managers and biologists who participated in this assessment and provided critical review of this report.", - "distribution": [ - { - "@type": "dcat:Distribution", - "accessURL": "https://doi.org/10.5066/F7VM49FN", - "description": "Landing page for access to the data", - "format": "XML", - "mediaType": "application/http", - "title": "Digital Data" - }, - { - "@type": "dcat:Distribution", - "description": "The metadata original format", - "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5867d90de4b0cd2dabe7c756.xml", - "format": "XML", - "mediaType": "text/xml", - "title": "Original Metadata" - } - ], - "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5867d90de4b0cd2dabe7c756", - "keyword": [ - "Connectivity", - "Environment and Conservation", - "Idaho", - "Montana", - "Rocky Mountains", - "USGS:5867d90de4b0cd2dabe7c756", - "United States", - "Wyoming", - "climate change", - "environment", - "forest ecosystems", - "natural resource management" - ], - "modified": "2026-09-09T00:00:00Z", - "publisher": { - "@type": "org:Organization", - "name": "U.S. Geological Survey" - }, - "spatial": "-117.049289, 41.894474, -108.528169, 49.005950", - "theme": [ - "geospatial" - ], - "title": "Potential climate change impacts on forest connectivity in the U.S. Northern Rockies" - }, - "description": "Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. 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We used five species distribution models (SDM) including Generalized Linear Model, Random Forest, Boosted Regression Tree, Maxent, and Multivariate Adaptive Regression Splines (MARS) and ensembles to develop the present day distributions of the species based on climate-driven models alone. We then projected future distributions of the species using data from four climate models: Community Climate System Model version 4 (CCSM4), Hadley Centre Global Environment Model version 2-Earth System (HadGEM2-ES), Model for Interdisciplinary Research on Climate version 5 (MIROC5), and Max Planck Institute Earth System Model, low resolution (MPI-ESM-LR). We ran the climate models according to two greenhouse gas concentration pathways (RCP2.6 and RCP8.5). Datasets in this file are the results for models RCP2.6 and RCP8.5 for the years 2050 and 2070. It shows a comparison of ensembles of suitable bioclimatic conditions between present day and future day. 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The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife, 2) estimate how wildlife species of concern are expected to respond to these changes, 3) develop climate-smart strategies to help stakeholders manage public and private lands in ways that allow wildlife to continue to move in response to changing conditions, and 4) explore how well existing management plans and conservation efforts are expected to support crucial connections for wildlife under climate change. We assessed vulnerability of eight wildlife species and four biomes to climate change, with a focus on potential impacts to connectivity. Our assessment provides some insights about where these species and biomes may be most vulnerable or most resilient to loss of connectivity and how this information could support climate-smart management action. We also encountered high levels of uncertainty in how climate change is expected to alter vegetation and how wildlife are expected to respond to these changes. This uncertainty limits the value of our assessment for informing proactive management of climate change impacts on both species-specific and biome-level connectivity (although biome-level assessments were subject to fewer sources of uncertainty). 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We assessed vulnerability of eight wildlife species and four biomes to climate change, with a focus on potential impacts to connectivity. Our assessment provides some insights about where these species and biomes may be most vulnerable or most resilient to loss of connectivity and how this information could support climate-smart management action. We also encountered high levels of uncertainty in how climate change is expected to alter vegetation and how wildlife are expected to respond to these changes. This uncertainty limits the value of our assessment for informing proactive management of climate change impacts on both species-specific and biome-level connectivity (although biome-level assessments were subject to fewer sources of uncertainty). 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