Both real-time and long-term environmental data perform well in predicting shorebird distributions in managed habitat

Erin Conlisk, Gregory Golet, Mark Reynolds, Blake Barbaree, Kristin Sesser, Kristin Byrd, Sam Veloz & Matthew Reiter
Highly mobile species, such as migratory birds, respond to seasonal and inter-annual variability in resource availability by moving to better habitats. Despite the recognized importance of resource thresholds, species distribution models typically rely on long-term average habitat conditions, mostly because large-extent, temporally-resolved, environmental data are difficult to obtain. Recent advances in remote sensing make it possible to incorporate more frequent measurements of changing landscapes; however, there is often a cost in terms of model building...
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