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Pré-Publication, Document De Travail Année : 2023

Remote sensing of emperor penguin abundance and breeding success

Alexander Winterl
Sebastian Richter
Aymeric Houstin
Téo Barracho
Matthieu Boureau
  • Fonction : Auteur
Clément Cornec
Douglas Couet
  • Fonction : Auteur
Robin Cristofari
Claire Eiselt
  • Fonction : Auteur
Ben Fabry
Adélie Krellenstein
  • Fonction : Auteur
Christoph Mark
Astrid Mainka
  • Fonction : Auteur
Delphine Ménard
  • Fonction : Auteur
Jennifer Morinay
Susie Pottier
  • Fonction : Auteur
Elodie Schloesing
  • Fonction : Auteur
Daniel P Zitterbart

Résumé

Emperor penguins (Aptenodytes forsteri) are under increasing environmental pressure. Monitoring colony size and trends of this Antarctic seabird relies primarily on satellite imagery recorded near the end of the breeding season, when illumination 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 accurately predicts 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 very rare or unavailable. Teaser The Emperor penguin becomes the Southern Ocean's canary in a coal mine through remote sensing its annual breeding success.
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Winterl-BioRxiv-2023.08.24.554580v1.full.pdf (1.16 Mo) Télécharger le fichier
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Dates et versions

hal-04307139 , version 1 (25-11-2023)

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Alexander Winterl, Sebastian Richter, Aymeric Houstin, Téo Barracho, Matthieu Boureau, et al.. Remote sensing of emperor penguin abundance and breeding success. 2023. ⟨hal-04307139⟩
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