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Developing statistical wildlife habitat relationships for assessing cumulative effects of fuels treatments - Final Report to the Joint Fire Science Program

Author(s): Samuel A. Cushman, Kevin S. McKelvey
Year Published: 2006
Description:

The primary weakness in our current ability to evaluate future landscapes in terms of wildlife lies in the lack of quantitative models linking wildlife to forest stand conditions, including fuels treatments. This project focuses on 1) developing statistical wildlife habitat relationships models (WHR) utilizing Forest Inventory and Analysis (FIA) and National Vegetation Pilot data augmented with specific wildlife sampling at plot locations, and 2) to collect matching data in areas where fuels manipulation and reduction treatments have been applied. Coupled with forest growth models, statistical WHR are being used to estimate habitat occupancy on future landscapes that include extensive fuels treatments. The statistical nature of these models will allow the power of derived cumulative effects understandings to be evaluated. As an additional benefit, for select species we will directly relate abundance-based metrics with presence/absence data to determine the efficacy of using presence/absence data to assess abundance.

Citation: Cushman, Samuel A.; McKelvey, Kevin S. 2006. Developing statistical wildlife habitat relationships for assessing cumulative effects of fuels treatments. Joint Fire Science Project 01-1-3-27. Missoula, MT: USDA Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory. 9 p.
Topic(s): Fire Effects, Ecological - Second Order, Wildlife, Fire & Wildlife, Habitat Assessment, Fuel Treatments & Effects, Fuels
Ecosystem(s): None
Document Type: Technical Report or White Paper
NRFSN number: 11160
FRAMES RCS number: 360
Record updated: May 24, 2018