by Alexander Winterl, Sebastian Richter, Aymeric Houstin, Téo Barracho, Matthieu Boureau, Clément Cornec, Douglas Couet, Robin Cristofari, Claire Eiselt, Ben Fabry, Adélie Krellenstein, Christoph Mark, Astrid Mainka, Delphine Ménard, Jennifer Morinay, Susie Pottier, Elodie Schloesing, Céline Le Bohec, Daniel P. Zitterbart
Abstract:
Abstract Emperor penguins ( Aptenodytes forsteri ) are under increasing environmental pressure. Monitoring colony size and population trends of this Antarctic seabird relies primarily on satellite imagery recorded near the end of the breeding season, when light conditions levels are sufficient to capture images, but colony occupancy is highly variable. To correct population estimates for this variability, we develop a phenological model that can predict the number of breeding pairs and fledging chicks, as well as key phenological events such as arrival, hatching and foraging times, from as few as six data points from a single season. The ability to extrapolate occupancy from sparse data makes the model particularly useful for monitoring remotely sensed animal colonies where ground-based population estimates are rare or unavailable.
Reference:
Alexander Winterl, Sebastian Richter, Aymeric Houstin, Téo Barracho, Matthieu Boureau, Clément Cornec, Douglas Couet, Robin Cristofari, Claire Eiselt, Ben Fabry, Adélie Krellenstein, Christoph Mark, Astrid Mainka, Delphine Ménard, Jennifer Morinay, Susie Pottier, Elodie Schloesing, Céline Le Bohec, Daniel P. ZitterbartRemote sensing of emperor penguin abundance and breeding successIn Nature Communications, volume 15, 2024.
Bibtex Entry:
@article{winterl_remote_2024,
title = {Remote sensing of emperor penguin abundance and breeding success},
volume = {15},
issn = {2041-1723},
url = {Winterl Nat Comm 2024.pdf},
doi = {10.1038/s41467-024-48239-8},
abstract = {Abstract
Emperor penguins (
Aptenodytes forsteri
) are under increasing environmental pressure. Monitoring colony size and population trends of this Antarctic seabird relies primarily on satellite imagery recorded near the end of the breeding season, when light conditions levels are sufficient to capture images, but colony occupancy is highly variable. To correct population estimates for this variability, we develop a phenological model that can predict the number of breeding pairs and fledging chicks, as well as key phenological events such as arrival, hatching and foraging times, from as few as six data points from a single season. The ability to extrapolate occupancy from sparse data makes the model particularly useful for monitoring remotely sensed animal colonies where ground-based population estimates are rare or unavailable.},
language = {en},
number = {1},
urldate = {2024-07-03},
journal = {Nature Communications},
author = {Winterl, Alexander and Richter, Sebastian and Houstin, Aymeric and Barracho, Téo and Boureau, Matthieu and Cornec, Clément and Couet, Douglas and Cristofari, Robin and Eiselt, Claire and Fabry, Ben and Krellenstein, Adélie and Mark, Christoph and Mainka, Astrid and Ménard, Delphine and Morinay, Jennifer and Pottier, Susie and Schloesing, Elodie and Le Bohec, Céline and Zitterbart, Daniel P.},
month = may,
year = {2024},
pages = {4419},
file = {Volltext:C:\Users\lovis\Zotero\storage\3HV9AF69\Winterl et al. - 2024 - Remote sensing of emperor penguin abundance and br.pdf:application/pdf},
}