Four unreported emperor penguin colonies discovered by satellite

Fretwell, Peter ORCID: https://orcid.org/0000-0002-1988-5844. 2024 Four unreported emperor penguin colonies discovered by satellite. Antarctic Science, 36 (4). 277-279. https://doi.org/10.1017/S0954102023000329

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Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of Antarctic Science Ltd. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
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Abstract/Summary

Predictions of the future emperor penguins population, linked to anthropogenic climate change, are stark. Current models suggest that if CO2 emissions continue to rise at present rates, almost all colonies will be quasi-extinct by the end of the century (Jenouvrier et al. 2021). The monitoring of populations is crucial to tracking these changes and, if possible, implementing conservation measures. Recent work using satellite imagery to discover, track and monitor emperor penguin populations has proved to be a key technology in understanding the locations, numbers and trends of the species (Barbraud & Weimerskirch 2001, Trathan et al. 2020, Jenouvrier et al. 2021). It also enables the discovery of unrecorded breeding sites (Fretwell et al. 2009), although there are inherent difficulties in determining what constitutes a new or undiscovered breeding colony (see Supplemental Material S1). In 2019, eight previously unreported emperor penguin breeding sites were found using the European Space Agency's Sentinel-2 satellite, a medium-resolution satellite with a spatial resolution of 10 m per pixel (Fretwell & Trathan 2021), bringing the number of known extant breeding locations to 61. Here, I report on the discovery of a further four breeding sites using Sentinel-2 and Maxar WorldView-2 imagery.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1017/S0954102023000329
ISSN:	0954-1020
Date made live:	23 Jan 2024 08:42 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/536741

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1017/S0954102023000329

ISSN:

0954-1020

Date made live:

23 Jan 2024 08:42 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/536741