Using geolocator tracking data and ringing archives to validate citizen-science based seasonal predictions of bird distribution in a data-poor region

Using geolocator tracking data and ringing archives to validate citizen-science based seasonal predictions of bird distribution in a data-poor region

Unstructured citizen-science data are increasingly used for analysing the abundance and distribution of species. Here we test the usefulness of such data to predict the seasonal distribution of migratory songbirds, and to analyse patterns of migratory connectivity.We used bird occurrence data from e...

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Bibliographic Details
Main Authors: Wieland Heim, Ramona J. Heim, Ilka Beermann, Oleg A. Burkovskiy, Yury Gerasimov, Pavel Ktitorov, Kiyoaki Ozaki, Ilya Panov, Martha Maria Sander, Sissel Sjöberg, Sergei M. Smirenski, Alexander Thomas, Anders P. Tøttrup, Ivan M. Tiunov, Mikkel Willemoes, Norbert Hölzel, Kasper Thorup, Johannes Kamp
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Global Ecology and Conservation
Subjects:
East Asian flyway
eBird
MaxEnt
Migration
Species distribution model
Tracking
Online Access:http://www.sciencedirect.com/science/article/pii/S2351989420307563

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http://www.sciencedirect.com/science/article/pii/S2351989420307563

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