%ALouthan, Allison [Biology Department Duke University Durham North Carolina 27708 USA, Division of Biology Kansas State University Manhattan Kansas 66506 USA]%AWalters, Jeffrey [Department of Biological Sciences Virginia Tech Blacksburg Virginia 24061 USA]%ATerando, Adam [U.S. Geological Survey Southeast Climate Adaptation Science Center Raleigh North Carolina 27607 USA, Department of Applied Ecology North Carolina State University Raleigh North Carolina 27695 USA]%AGarcia, Victoria [U.S. Fish and Wildlife Service Florida Ecological Services Field Office Vero Beach Florida 32960 USA]%AMorris, William [Biology Department Duke University Durham North Carolina 27708 USA]%BJournal Name: Ecosphere; Journal Volume: 12; Journal Issue: 9; Related Information: CHORUS Timestamp: 2023-08-28 23:26:22 %D2021%IWiley Blackwell (John Wiley & Sons) %JJournal Name: Ecosphere; Journal Volume: 12; Journal Issue: 9; Related Information: CHORUS Timestamp: 2023-08-28 23:26:22 %K %MOSTI ID: 10390519 %PMedium: X %TShifting correlations among multiple aspects of weather complicate predicting future demography of a threatened species %X
Most studies of the ecological effects of climate change consider only a limited number of weather drivers that could affect populations, though we know that multiple weather drivers can simultaneously affect population growth rate. Multiple drivers could simultaneously increase/decrease one vital rate, or one may increase a vital rate while another decreases the same vital rate. Considering the impact of multiple weather drivers on vital rates is particularly important in a changing climate, in which correlations among drivers may not be preserved in the future. We used a long‐term dataset on the endangered red‐cockaded woodpecker (