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BLM Natl AIM Lotic Public Geodatabase
<p>The AIM Strategy provides a standard, quantitative approach to assessing the health of uplands (terrestrial), rivers and streams (lotic), and riparian and wetland ecosystems to inform management of public lands. AIM data are a reliable, high-quality data source that meets Council on Environmental Quality and Data Quality Act Guidelines. The AIM dataset is also one of the largest available datasets to inform resource management decisions on public lands. AIM data may be used alone or in conjunction with other types of data in a “multiple lines of evidence” approach to inform decision-making. For example, AIM data can provide a snapshot of current conditions and a means of tracking resource changes over time across a Land Use Plan (LUP) Planning area or a National Environmental Policy Act (NEPA) project area, while other data may provide more detailed analysis of specific areas and land uses (e.g., land health evaluations and determinations, land treatment and restoration effectiveness reports). Assessments such as BLM’s Technical References (TR) Interpreting Indicators of Rangeland Health (IIRH) (TR 1734-6), Proper Functioning Condition (PFC) (TR 1737-15 and TR 1737-16), or Greater Sage-Grouse (GRSG) Habitat Assessment Framework (HAF) (TR 6710-1) should be used to augment status and trend information and should incorporate AIM indicators and methods to complete the assessments when possible. In addition, other high-quality information that describes terrestrial, lotic, and riparian and wetland conditions, including satellite-derived maps, can be used to inform assessments.</p>
Complete Metadata
| @id | http://datainventory.doi.gov/id/dataset/5196c823cacb5a29acad09a846f7bf6d |
|---|---|
| bureauCode |
[ "010:04" ] |
| identifier | https://www.arcgis.com/home/item.html?id=75c88dfc2c30497aa343f4c2a170c46d |
| issued | 2024-10-25T09:28:25Z |
| landingPage | https://gbp-blm-egis.hub.arcgis.com/datasets/BLM-EGIS::blm-natl-aim-lotic-public-geodatabase |
| programCode |
[ "010:000" ] |
| spatial | -157.514,32.0226,-102.3656,70.7611 |
| theme |
[ "geospatial" ] |
