Cargando…
Both real‐time and long‐term environmental data perform well in predicting shorebird distributions in managed habitat
Highly mobile species, such as migratory birds, respond to seasonal and interannual 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...
Autores principales: | Conlisk, Erin E., Golet, Gregory H., Reynolds, Mark D., Barbaree, Blake A., Sesser, Kristin A., Byrd, Kristin B., Veloz, Sam, Reiter, Matthew E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286402/ https://www.ncbi.nlm.nih.gov/pubmed/34870360 http://dx.doi.org/10.1002/eap.2510 |
Ejemplares similares
-
Effects of drought on the abundance and distribution of non-breeding shorebirds in central California, USA
por: Barbaree, Blake A., et al.
Publicado: (2020) -
Shorebird Use of Coastal Wetland and Barrier Island Habitat in the Gulf of Mexico
por: Withers, Kim
Publicado: (2002) -
Influenza A virus: sampling of the unique shorebird habitat at Delaware Bay, USA
por: Poulson, Rebecca L., et al.
Publicado: (2017) -
Smartphone-Based Distributed Data Collection Enables Rapid Assessment of Shorebird Habitat Suitability
por: Thieler, E. Robert, et al.
Publicado: (2016) -
Avian BMR in Marine and Non-Marine Habitats: A Test Using Shorebirds
por: Gutiérrez, Jorge S., et al.
Publicado: (2012)