Overcoming data gaps using integrated models to estimate migratory species' dynamics during cryptic periods of the annual cycle
Matthew T. Farr,
Erin R. Zylstra,
Leslie Ries
et al.
Abstract:Environmental and anthropogenic factors affect the population dynamics of migratory species throughout their annual cycles. However, identifying the spatiotemporal drivers of migratory species' abundances is difficult because of extensive gaps in monitoring data. The collection of unstructured opportunistic data by volunteer (citizen science) networks provides a solution to address data gaps for locations and time periods during which structured, design‐based data are difficult or impossible to collect.
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