Timeline / Data.gov — Environment Datasets
changed Source changed
A new raw object was archived. Both versions are preserved. 5486 line(s) added, 6191 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 2026-09-12T00:29:39+00:00 |
| Content type | application/json |
| Current object |
31d31186c976998bd0eef6b7e8e17dbee8498773ee473fecc8b0e01a9690efa9
download raw
metadata
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| Previous object |
b447ab737235391e0dc02575898a237b1b3166b6c246f506057e0385d133a20c
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metadata
|
What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-09-12T00:29:39+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 5486 line(s) added, 6191 line(s) removed.
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The dataset shows areas where ensembles agree and suitable conditions are stable (stable represented in green), future ensemble projects new suitable conditions (gain represented in yellow), present ensemble may be converted to unsuitable in the future (loss represented in red), and areas where conditions are unsuitable in the future (non represented in gray).", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "http://doi.org/10.5066/F7XS5SJH", + "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.583324a0e4b046f05f211a7d.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_583324a0e4b046f05f211a7d", + "keyword": [ + "Aspidoscelis dixoni", + "Gray-Checkered Whiptail", + "Pseudemys gorzugi", + "Rio Grande Cooter", + "USGS:583324a0e4b046f05f211a7d", + "bioclimatic-envelope", + "biota", + "climatologyMeteorologyAtmosphere", + "ecology", + "geospatial datasets", + "herpetofauna", + "modeling" + ], + "modified": "2026-09-09T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-112.586128217, 31.332172208, -106.486128241, 35.4988388585", + "theme": [ + "geospatial" + ], + "title": "Projected future bioclimate-envelope suitability for reptile species in South Central USA" + }, + "description": "This dataset contains the result of the bioclimatic-envelope modeling of the two reptile species -- Rio Grande Cooter (Pseudemys gorzugi) and Gray-Checkered Whiptail (Aspidoscelis dixoni) -- in the South Central US using the downscaled data provided by WorldClim. 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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). 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.5867e1a1e4b0cd2dabe7c76c.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5867e1a1e4b0cd2dabe7c76c", + "keyword": [ + "Connectivity", + "Environment and Conservation", + "Idaho", + "Montana", + "Rocky Mountains", + "USGS:5867e1a1e4b0cd2dabe7c76c", + "United States", + "Wyoming", + "climate change", + "environment", + "natural resource management", + "shrubland ecosystems" + ], + "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 shrub 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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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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