Cooperative Research Units
Education, Research And Technical Assistance For Managing Our Natural Resources
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Advancing Adaptive Management in the Riverside East Solar Energy Zone

The Steps of Structured Decision Making

Duration

April 2015 - January 2019

Narrative

The goal of the Assessment, Inventory, and Monitoring (AIM) Strategy is to provide the BLM and its partners with the information needed to understand terrestrial resource location and abundance, condition, and trend, and to provide a basis for effective adaptive management.

The Strategy supports an integrated approach that includes three components. The first component is a standard set of field-measurement indicators and associated methods for terrestrial vegetation and soils. These indicators reflect the status of key attributes of ecosystem sustainability, and include: amount of bare ground, vegetation composition, non-native invasive species, plant species of concern, vegetation height, and the proportion of a site within large canopy gaps.

The second component of the AIM strategy is a statistically valid sampling framework that allows datasets collected in different areas and for different objectives to be aggregated at different scales to meet regional and national information needs.

The third component involves integration of remote sensing and ground-based technologies to maximize BLM’s capacity to cost-effectively address management questions at multiple spatial scales.

While a significant amount has been written about the process of adaptive management, in practice it can be difficult to understand how to implement an adaptive management program that seamlessly integrates data collection, models, decision making, analysis, and outputs. BLM needs technical assistance to develop methodologies to integrate an adaptive management framework into the agency’s land use and natural resource management plans.

The goal of this study is develop a rapid prototype framework for linking AIM data with a data analysis and decision making framework. This will framework will be informed by a case study in the BLM-administered Riverside East Solar Energy Zone in Riverside County, California. The open source software program, R, is the primary vehicle for developing tools that will enable rapid analysis and reporting of data.

This project is a collaboration of BLM, the Vermont Cooperative Fish and Wildlife Research Unit, and the UVM IGERT SMART program.

 

Current Staff

Federal Staff: 2

Masters Students: 1

Phd Students: 5

Post Docs: 1

University Staff: 2

5 Year Summary

Students graduated: 5

Scientific Publications: 20

Presentations: 22

 

Personnel

Funding Agencies

  • Bureau of Land Management

Links

Vermont Cooperative Fish and Wildlife Research Unit Cooperators

  1. U.S. Geological Survey
  2. University of Vermont
  3. Vermont Department of Fish and Wildlife
  4. Wildlife Management Institute