BLM - National Landscape Monitoring Framework - Plants
Project name: Trinational Monarch Knowledge Network
Dataset summary : This table contains monitoring data collected nationally for the BLM Landscape Monitoring Framework. Data are collected in accordance with the BLM AIM (Assessment, Inventory, and Monitoring) Strategy. The AIM Strategy specifies a probabilistic sampling design, standard, core indicators and methods, and electronic data capture and management. Attributes (columns) include plant species occurrence information collected using the Plant Census protocol generalized to the county level (see Entity/Attribute section). Species occurrences inform the AIM core indicators of vegetation composition, plant species of management concern, and invasive species. Data were collected and managed through agreements with the USDA-Natural Resources Conservation Service and the Iowa State University Center for Survey Statistics and Methodology. Purpose: This dataset was created to monitor the status, condition and trend of national BLM resources in accordance with BLM policies. Specifically, species occurrences inform the BLM AIM core indicators of vegetation composition, plant species of management concern, and invasive species.