Demographic modeling data (including code) at various sites in the Great Basin, USA
These data were compiled to determine whether transient population dynamics substantially alter population growth rates of sagebrush after disturbance, impede resilience and restoration, and in turn drive ecosystem transformation. Data were collected from 2014-2016 on sagebrush population height distributions at 531 sites across the Great Basin that had burned and were subsequently reseeded by the BLM. These data include field data on sagebrush density in 6 size classes and site attributes (seeding year, sampling year, random site designation, elevation, seeding rate). Also included are modeled spring soil moisture data at each site from the year of seeding to sampling. This data release includes associated software code allows the inference of demographic rates (survival, reproduction, and individual growth) of sagebrush using Hamiltonian Monte Carlo approaches in Stan (https://mc-stan.org/).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Robert K Shriver",
"@type": "vcard:Contact",
"hasEmail": "mailto:rshriver@usgs.gov"
}
|
| description | These data were compiled to determine whether transient population dynamics substantially alter population growth rates of sagebrush after disturbance, impede resilience and restoration, and in turn drive ecosystem transformation. Data were collected from 2014-2016 on sagebrush population height distributions at 531 sites across the Great Basin that had burned and were subsequently reseeded by the BLM. These data include field data on sagebrush density in 6 size classes and site attributes (seeding year, sampling year, random site designation, elevation, seeding rate). Also included are modeled spring soil moisture data at each site from the year of seeding to sampling. This data release includes associated software code allows the inference of demographic rates (survival, reproduction, and individual growth) of sagebrush using Hamiltonian Monte Carlo approaches in Stan (https://mc-stan.org/). |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P944D1YU",
"mediaType": "application/http",
"description": "Landing page for access to the data"
},
{
"@type": "dcat:Distribution",
"title": "Original Metadata",
"format": "XML",
"mediaType": "text/xml",
"description": "The metadata original format",
"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5c76b371e4b0fe48cb4c28d3.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_5c76b371e4b0fe48cb4c28d3 |
| keyword |
[
"California",
"Great Basin",
"Idaho",
"Nevada",
"Oregon",
"USGS:5c76b371e4b0fe48cb4c28d3",
"Utah",
"Western United States",
"Wyoming sagebrush",
"big sagebrush",
"biological sampling",
"biota",
"demographic rates",
"demographics",
"demography",
"drylands",
"ecosystem resilience",
"ecosystem transformation",
"ecosystems",
"elevation",
"field observation",
"field sampling",
"random",
"rangeland ecosystems",
"restoration",
"sagebrush",
"sagebrush counts",
"sampling year",
"scrubland ecosystems",
"seeding",
"seeding rate",
"seeding year",
"shrubland ecosystems",
"site attributes",
"terrestrial ecosystems",
"transect sampling",
"transient population dynamics"
]
|
| modified | 2020-08-27T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -120.500, 37.750, -111.500, 44.750 |
| theme |
[
"Geospatial"
]
|
| title | Demographic modeling data (including code) at various sites in the Great Basin, USA |
