climate change
; climate conditions
; ensemble forecasting
; geographical distribution
; Monte Carlo analysis
; probability
; regression analysis
; salmonid
; uncertainty analysis
; weather forecasting
; Columbia Basin
; United States
; Salmonidae
; Salvelinus confluentus
; animal
; article
; bull trout
; climate change
; demography
; ensemble
; forecasting
; Generalized linear model
; model uncertainty
; Monte Carlo method
; salmonid
; Salvelinus confluentus
; species distribution model
; statistical model
; suitable habitat
; theoretical model
; uncertainty
; United States
; bull trout
; ensemble
; generalized linear model
; model uncertainty
; Salvelinus confluentus
; species distribution model
; suitable habitat
; Animals
; Climate Change
; Demography
; Forecasting
; Logistic Models
; Models, Theoretical
; Monte Carlo Method
; Northwestern United States
; Salmonidae
; Uncertainty
Trout Unlimited, Boise, ID, United States; Arcata Fish and Wildlife Office, US Fish and Wildlife Service, Arcata, CA, United States; Rocky Mountain Research Station, US Forest Service, Boise, ID, United States; Forest and Rangeland Ecosystem Service Center, US Geological Survey, Corvallis, OR, United States; Rocky Mountain Research Station, US Forest Service, Missoula, MT, United States; Department of Fish, Wildlife and Conservation Biology, Colorado State University, Fort Collins, CO, United States; Rocky Mountain Research Station, US Forest Service (retired), Seeley Lake, MT, United States
Recommended Citation:
Wenger S.J.,Som N.A.,Dauwalter D.C.,et al. Probabilistic accounting of uncertainty in forecasts of species distributions under climate change[J]. Global Change Biology,2013-01-01,19(11)