Scale and Landscape Features Matter for Understanding Waterbird Habitat Selection

Clarifying species-environment relationships is crucial for the development of efficient conservation and restoration strategies. However, this work is often complicated by a lack of detailed information on species distribution and habitat features and tends to ignore the impact of scale and landsca...

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Autores principales:	Jinya Li, Yang Zhang, Lina Zhao, Wanquan Deng, Fawen Qian, Keming Ma
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	species distribution models satellite tracking multiscale model landscape composition and configuration variance partitioning analysis Science Q
Acceso en línea:	https://doaj.org/article/4ba2ad2de09c4cc781c68655af2ff9e1
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id	oai:doaj.org-article:4ba2ad2de09c4cc781c68655af2ff9e1
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spelling	oai:doaj.org-article:4ba2ad2de09c4cc781c68655af2ff9e12021-11-11T18:55:29ZScale and Landscape Features Matter for Understanding Waterbird Habitat Selection10.3390/rs132143972072-4292https://doaj.org/article/4ba2ad2de09c4cc781c68655af2ff9e12021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4397https://doaj.org/toc/2072-4292Clarifying species-environment relationships is crucial for the development of efficient conservation and restoration strategies. However, this work is often complicated by a lack of detailed information on species distribution and habitat features and tends to ignore the impact of scale and landscape features. Here, we tracked 11 Oriental White Storks (<i>Ciconia boyciana</i>) with GPS loggers during their wintering period at Poyang Lake and divided the tracking data into two parts (foraging and roosting states) according to the distribution of activity over the course of a day. Then, a three-step multiscale and multistate approach was employed to model habitat selection characteristics: (1) first, we minimized the search range of the scale for these two states based on daily movement characteristics; (2) second, we identified the optimized scale of each candidate variable; and (3) third, we fit a multiscale, multivariable habitat selection model in relation to natural features, human disturbance and especially landscape composition and configuration. Our findings reveal that habitat selection of the storks varied with spatial scale and that these scaling relationships were not consistent across different habitat requirements (foraging or roosting) and environmental features. Landscape configuration was a more powerful predictor for storks’ foraging habitat selection, while roosting was more sensitive to landscape composition. Incorporating high-precision spatiotemporal satellite tracking data and landscape features derived from satellite images from the same periods into a multiscale habitat selection model can greatly improve the understanding of species-environmental relationships and guide efficient recovery planning and legislation.Jinya LiYang ZhangLina ZhaoWanquan DengFawen QianKeming MaMDPI AGarticlespecies distribution modelssatellite trackingmultiscale modellandscape composition and configurationvariance partitioning analysisScienceQENRemote Sensing, Vol 13, Iss 4397, p 4397 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	species distribution models satellite tracking multiscale model landscape composition and configuration variance partitioning analysis Science Q
spellingShingle	species distribution models satellite tracking multiscale model landscape composition and configuration variance partitioning analysis Science Q Jinya Li Yang Zhang Lina Zhao Wanquan Deng Fawen Qian Keming Ma Scale and Landscape Features Matter for Understanding Waterbird Habitat Selection
description	Clarifying species-environment relationships is crucial for the development of efficient conservation and restoration strategies. However, this work is often complicated by a lack of detailed information on species distribution and habitat features and tends to ignore the impact of scale and landscape features. Here, we tracked 11 Oriental White Storks (<i>Ciconia boyciana</i>) with GPS loggers during their wintering period at Poyang Lake and divided the tracking data into two parts (foraging and roosting states) according to the distribution of activity over the course of a day. Then, a three-step multiscale and multistate approach was employed to model habitat selection characteristics: (1) first, we minimized the search range of the scale for these two states based on daily movement characteristics; (2) second, we identified the optimized scale of each candidate variable; and (3) third, we fit a multiscale, multivariable habitat selection model in relation to natural features, human disturbance and especially landscape composition and configuration. Our findings reveal that habitat selection of the storks varied with spatial scale and that these scaling relationships were not consistent across different habitat requirements (foraging or roosting) and environmental features. Landscape configuration was a more powerful predictor for storks’ foraging habitat selection, while roosting was more sensitive to landscape composition. Incorporating high-precision spatiotemporal satellite tracking data and landscape features derived from satellite images from the same periods into a multiscale habitat selection model can greatly improve the understanding of species-environmental relationships and guide efficient recovery planning and legislation.
format	article
author	Jinya Li Yang Zhang Lina Zhao Wanquan Deng Fawen Qian Keming Ma
author_facet	Jinya Li Yang Zhang Lina Zhao Wanquan Deng Fawen Qian Keming Ma
author_sort	Jinya Li
title	Scale and Landscape Features Matter for Understanding Waterbird Habitat Selection
title_short	Scale and Landscape Features Matter for Understanding Waterbird Habitat Selection
title_full	Scale and Landscape Features Matter for Understanding Waterbird Habitat Selection
title_fullStr	Scale and Landscape Features Matter for Understanding Waterbird Habitat Selection
title_full_unstemmed	Scale and Landscape Features Matter for Understanding Waterbird Habitat Selection
title_sort	scale and landscape features matter for understanding waterbird habitat selection
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4ba2ad2de09c4cc781c68655af2ff9e1
work_keys_str_mv	AT jinyali scaleandlandscapefeaturesmatterforunderstandingwaterbirdhabitatselection AT yangzhang scaleandlandscapefeaturesmatterforunderstandingwaterbirdhabitatselection AT linazhao scaleandlandscapefeaturesmatterforunderstandingwaterbirdhabitatselection AT wanquandeng scaleandlandscapefeaturesmatterforunderstandingwaterbirdhabitatselection AT fawenqian scaleandlandscapefeaturesmatterforunderstandingwaterbirdhabitatselection AT kemingma scaleandlandscapefeaturesmatterforunderstandingwaterbirdhabitatselection
_version_	1718431643188854784

Scale and Landscape Features Matter for Understanding Waterbird Habitat Selection

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