Table 3.
Criteria for evaluating potential indicators, datasets and methods to quantify landscape-level patterns of ecological resources to inform agency management decisions
Criteria | Description |
---|---|
Landscape relevance | 1. Indicator quantifies the amount or spatial pattern of an ecological resource. |
Policy relevance | 2. Indicators can be used to assess compliance with foundational laws and policies relevant to agency management. |
Spatial relevance | 3. Indicator is relevant and can be quantified using available datasets, across lands managed by the agency and its partners. |
Interpretability and usability | 4. Indicator is responsive to disturbances or management actions on time scales relevant to major management decisions (e.g., 5–15 years). |
5. Indicators can be used by managers to identify goals and set quantitative objectives in land use plans and other decision documents. | |
6. Quantitative reference or desired conditions for the indicator are feasible to identify. | |
Scientific foundation | 7. Indicator is well documented in the peer-reviewed scientific literature as useful for landscape-level assessment, inventory, and monitoring. |
Compatibility | 8. Indicator, analysis methods, and source datasets are consistent with, compatible with, or informed by those currently used by the agency and its management partners. |
Response variability | 9. Environmental factors controlling the natural temporal and spatial variability of the indicator are well understood. |
Data quality and feasibility of implementation | 10. Indicators can be quantified using widely accepted and used datasets with complete coverage across the western US (including Alaska) that are of consistent quality and are regularly updated. |
11. Indicators can be quantified using well-accepted and documented analysis methods in a minimal number of steps. | |
12. Indicator results are likely to be of sufficient quality (i.e., within acceptable error/uncertainty tolerances) to be scientifically credible and useful for management. | |
13. Indicators can be quantified using existing datasets with acceptable accuracy and precision. | |
14. Time and cost needed to quantify the indicator across spatial extents relevant to agency planning and management actions are reasonable. |