
Loess Hills Conservation through DST Integration
This project developed baseline data and species-habitat models to guide strategic habitat conservation in Nebraska's Central Loess Hills.
The RWBJV science staff develops models and decision support tools essential to strategic habitat conservation. View summaries below, or download complete documents.
This project developed baseline data and species-habitat models to guide strategic habitat conservation in Nebraska's Central Loess Hills.
The RWBJV science office describes development of a DSS that helps prioritize geographic areas in which to pursue conservation practices, while maximizing the likelihood of achieving multiple stakeholder objectives.
Species Distribution Models help guide strategic conservation efforts for RWBJV priority species.
A model that weighs cumulative effects of various landscape features. This analysis helps identify potential areas of high-quality waterfowl habitat, thus allowing prioritization of conservation efforts.
A synthesis of information on habitat use by the High Plains Flock of Trumpeter Swans. Analysis may be used to identify areas of potentially suitable habitat for nesting swans.
A habitat suitability index to help identify potential sites for whooping crane habitat, based on characteristics of wetlands where whooping crane use has been documented.
A model to help address the questions of "where" and "how much" in protecting and restoring tallgrass prairie habitat for greater prairie-chicken and other grassland species.
Burrowing owls have a symbiotic relationship with prairie dogs and often use their burrows for nests. This habitat suitability index helps identify potential available habitat for burrowing owls in Nebraska.
Description and assessment of predictive spatial species-occurrence models for greater prairie-chicken, sharp-tailed grouse and long-billed curlew throughout Nebraska.
Models to help identify habitat variables contributing to nest site selection, and to identify areas where these two species may be especially vulnerable.