New Elk Habitat Models: Management Applications and Benefits New Landscape Approaches with Multiple Data Sources Presentation Review Preliminary Results. Describe Management Implications. List Potential Applications and Benefits. Identify Potential Products and Tools (Software, User’s Guide). Nutrition Modeling Nutrition model – Regression predictions of elk dietary digestible energy based on data from grazing trials conducted with tame elk across representative environments. Nutrition Modeling The lower the canopy closure, the higher the nutritional value. On forested sites, earlyseral stands provide highest nutrition, as produced through silviculture (clearcuts, selection harvest, thinnings) or likely with wildfire. Resource Selection Modeling Integrate nutrition model with all other factors that affect elk use on landscapes. Use all available telemetry data for model construction & validation. Which Model Best Supports the Telemetry Data and Validates Well? “Best Model” contained 4 covariates: 1. Dietary Digestible Energy of Forage (Nutrition). 2. Distance to Roads Open to Public Use (Human Disturbance). 3. Slope (Nutrition). 4. Distance to Cover-Forage Edge (Nutrition, Human Disturbance, or both). Model Validation Validate predictions with observed data from other study areas. Correlation coefficients of predicted vs. observed use remarkably high (correlation coefficients >0.90 for best model) for the two validation sites tested thus far with “best model.” Management Implications Planning and management for elk habitat is most effective at landscape scales and across ownerships. Elk habitat will benefit substantially from active silviculture (thinnings, selection harvest, clearcuts) to improve nutrition, combined with strategic access management. Management Implications Wildfires are likely to produce highly nutritious elk forage at landscape scales that are biologically meaningful to elk. The degree to which elk will benefit from wildfire-based improvements in nutrition depends on how motorized access is managed in these areas. Benefits Landscapes can be characterized as nutritionally rich, depauperate, or sufficient. Probability of elk use can be estimated and mapped by nutritional condition. Human disturbance factors can be managed to influence elk use in relation to nutritional condition. Benefits Landscapes can be subjected to “what if” scenarios or formal management options to understand potential changes in values of individual covariates and levels of elk use. Benefits Modeling approach can be used as a template for other regions of the West. Products Maps of elk nutrition for all lands across western Oregon and western Washington. Maps of elk nutrition at any desired spatial extents or land ownerships within the region. Supporting GIS files, ArcGIS Programs, and user’s guide to run nutrition model. Products Maps and summaries of predicted elk use for westside study areas and for other westside areas where model covariates are estimated. Maps and summaries of each model covariate for all westside study areas. Supporting GIS files, ArcGIS programs, and user’s guide to run resource selection model. Questions?