Pan-Antarctic analysis aggregating spatial estimates of Adélie penguin abundance reveals robust dynamics despite stochastic noise

Adélie penguins are a key Antarctic indicator species, but data patchiness has challenged efforts to link population dynamics to key drivers. Che-Castaldo et al. resolve this issue using a pan-Antarctic Bayesian model to infer missing data, and show that spatial aggregation leads to more robust infe...

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Autores principales:	Christian Che-Castaldo, Stephanie Jenouvrier, Casey Youngflesh, Kevin T. Shoemaker, Grant Humphries, Philip McDowall, Laura Landrum, Marika M. Holland, Yun Li, Rubao Ji, Heather J. Lynch
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/be8f73b8824a4730b07f8cb1defa9aec
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spelling	oai:doaj.org-article:be8f73b8824a4730b07f8cb1defa9aec2021-12-02T14:40:34ZPan-Antarctic analysis aggregating spatial estimates of Adélie penguin abundance reveals robust dynamics despite stochastic noise10.1038/s41467-017-00890-02041-1723https://doaj.org/article/be8f73b8824a4730b07f8cb1defa9aec2017-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-00890-0https://doaj.org/toc/2041-1723Adélie penguins are a key Antarctic indicator species, but data patchiness has challenged efforts to link population dynamics to key drivers. Che-Castaldo et al. resolve this issue using a pan-Antarctic Bayesian model to infer missing data, and show that spatial aggregation leads to more robust inference regarding dynamics.Christian Che-CastaldoStephanie JenouvrierCasey YoungfleshKevin T. ShoemakerGrant HumphriesPhilip McDowallLaura LandrumMarika M. HollandYun LiRubao JiHeather J. LynchNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-8 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Christian Che-Castaldo Stephanie Jenouvrier Casey Youngflesh Kevin T. Shoemaker Grant Humphries Philip McDowall Laura Landrum Marika M. Holland Yun Li Rubao Ji Heather J. Lynch Pan-Antarctic analysis aggregating spatial estimates of Adélie penguin abundance reveals robust dynamics despite stochastic noise
description	Adélie penguins are a key Antarctic indicator species, but data patchiness has challenged efforts to link population dynamics to key drivers. Che-Castaldo et al. resolve this issue using a pan-Antarctic Bayesian model to infer missing data, and show that spatial aggregation leads to more robust inference regarding dynamics.
format	article
author	Christian Che-Castaldo Stephanie Jenouvrier Casey Youngflesh Kevin T. Shoemaker Grant Humphries Philip McDowall Laura Landrum Marika M. Holland Yun Li Rubao Ji Heather J. Lynch
author_facet	Christian Che-Castaldo Stephanie Jenouvrier Casey Youngflesh Kevin T. Shoemaker Grant Humphries Philip McDowall Laura Landrum Marika M. Holland Yun Li Rubao Ji Heather J. Lynch
author_sort	Christian Che-Castaldo
title	Pan-Antarctic analysis aggregating spatial estimates of Adélie penguin abundance reveals robust dynamics despite stochastic noise
title_short	Pan-Antarctic analysis aggregating spatial estimates of Adélie penguin abundance reveals robust dynamics despite stochastic noise
title_full	Pan-Antarctic analysis aggregating spatial estimates of Adélie penguin abundance reveals robust dynamics despite stochastic noise
title_fullStr	Pan-Antarctic analysis aggregating spatial estimates of Adélie penguin abundance reveals robust dynamics despite stochastic noise
title_full_unstemmed	Pan-Antarctic analysis aggregating spatial estimates of Adélie penguin abundance reveals robust dynamics despite stochastic noise
title_sort	pan-antarctic analysis aggregating spatial estimates of adélie penguin abundance reveals robust dynamics despite stochastic noise
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/be8f73b8824a4730b07f8cb1defa9aec
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Pan-Antarctic analysis aggregating spatial estimates of Adélie penguin abundance reveals robust dynamics despite stochastic noise

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