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Remote sensing of emperor penguin abundance and breeding success

by Mainka, Astrid , Morinay, Jennifer , Ménard, Delphine , Cornec, Clément , Zitterbart, Daniel P. , Cristofari, Robin , Eiselt, Claire , Barracho, Téo , Winterl, Alexander , Boureau, Matthieu , Krellenstein, Adélie , Houstin, Aymeric , Le Bohec, Céline , Mark, Christoph , Schloesing, Elodie , Fabry, Ben , Pottier, Susie , Couet, Douglas , Richter, Sebastian

in 631/114/2397 / 631/158/672 / 639/766/747 / Animal breeding / Animals / Antarctic Regions / Aptenodytes forsteri / Aquatic birds / Breeding / Breeding seasons / Breeding success / Data points / Female / Hatching / Humanities and Social Sciences / Juveniles / Light levels / multidisciplinary / Population Density / Population Dynamics / Population statistics / Remote monitoring / Remote sensing / Remote Sensing Technology - methods / Reproduction - physiology / Satellite imagery / Science / Science (multidisciplinary) / Seasons / Spheniscidae - physiology

2024

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Remote sensing of emperor penguin abundance and breeding success

2024

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2024

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Journal Article

Remote sensing of emperor penguin abundance and breeding success

Mainka, Astrid,

Morinay, Jennifer,

Ménard, Delphine,

Cornec, Clément,

Zitterbart, Daniel P.,

Cristofari, Robin,

Eiselt, Claire,

Barracho, Téo,

Winterl, Alexander,

Boureau, Matthieu,

Krellenstein, Adélie,

Houstin, Aymeric,

Le Bohec, Céline,

Mark, Christoph,

Schloesing, Elodie,

Fabry, Ben,

Pottier, Susie,

Couet, Douglas,

Richter, Sebastian

2024

Overview

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. Emperor penguins colony occupancy is variable and chiefly estimated with remote sensing images at end of the breeding season. Here, the authors provide a phenological model that can extrapolate occupancy from sparse data and can predict phenological events, breeding pairs and fledging chicks.

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Publisher

Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio

Subject

/ Animals

/ Aptenodytes forsteri