Overcoming data gaps using integrated models to estimate migratory species' dynamics during cryptic periods of the annual cycle

Overcoming data gaps using integrated models to estimate migratory species' dynamics during cryptic periods of the annual cycle

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 unst...

Full description

Bibliographic Details
Main Authors: Matthew T. Farr, Erin R. Zylstra, Leslie Ries, Elise F. Zipkin
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:Methods in Ecology and Evolution
Subjects:
data integration
hierarchical modelling
integrated modelling
migratory species
monarch butterfly
Online Access:https://doi.org/10.1111/2041-210X.14282

Internet

https://doi.org/10.1111/2041-210X.14282

Similar Items