Return to search results
💡 Advanced Search Tip
Search by organization or tag to find related datasets
BLM ID Greater Sage-Grouse Mid-scale HAF Boundaries poly
As stated in the HAF about mid-scale spatial extents “Second-order habitat descriptions are linked to bird dispersal capabilities in population and subpopulation areas” (page 11, Stiver et al. 2015). A mid-scale boundary is not intended to represent a (sub)population boundary; rather, it provides a spatial extent that is appropriate for assessing habitat characteristics that may influence second-order habitat selection, such as patch size and connectivity (see Table 2 in the HAF TR). The scale at which that occurs is driven by the dispersal distances/behavior of the birds in the (sub)population. A mid-scale boundary may include only part of or an entire (sub)population depending on the size of the population in the area of interest. Likewise, the mid-scale boundary may need to extend beyond a (sub)population boundary to adequately assess indicators of second-order habitat selection. The extent of the boundary is more important than the boundary line itself. The mid-scale boundary should encompass the fine-scale boundaries and the site-scale assessment areas. Mid-scale boundaries are required to calculate and examine mid-scale habitat indicators as defined in the HAF, such as habitat availability, patch size and number, patch connectivity, and density of anthropogenic disturbance within patches. The boundary provides an ecologically-driven geographic extent at which these metrics will be measured.
Complete Metadata
| @id | http://datainventory.doi.gov/id/dataset/8cd242ceed2328fd33dad46078091b84 |
|---|---|
| bureauCode |
[ "010:04" ] |
| identifier | https://blm-egis.maps.arcgis.com/home/item.html?id=7f80a4ab99e74fcb9820aefb2d80e6fc&sublayer=0 |
| issued | 2024-10-04T05:28:13Z |
| landingPage | https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-id-greater-sage-grouse-mid-scale-haf-boundaries-poly |
| programCode |
[ "010:000" ] |
| spatial | -119.5003,45.6889,-110.5519,39.8065 |
| theme |
[ "geospatial" ] |