Importance of the interplay between land cover and topography in modeling habitat selection

Anthropogenic land cover change is one of the greatest threats to the persistence of organisms. Therefore, identifying and safeguarding optimal land covers for declining organisms is a major challenge of the Anthropocene. Priority land covers are typically identified through habitat selection studie...

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Autores: Natsukawa, Haruki, Yuasa, Hiroki, Fujisaki, Masao, Kobayashi, Takayuki, Maruyama, Hiroyoshi, Masukawa, Katsuji, Nunokawa, Kouichi, Saito, Hitoshi, Sato, Ginichi, Sutton, Luke J., Takahashi, Makoto, Toba, Takeshi, Washizawa, Sumio, Yanagawa, Masafumi, Yoshida, Kunihiro, Sergio, Fabrizio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/386882
Acceso en línea:http://hdl.handle.net/10261/386882
https://api.elsevier.com/content/abstract/scopus_id/85210118543
Access Level:acceso abierto
Palabra clave:Ecological niche modeling
Habitat preference
Habitat suitability
Land use
Remote sensing
Resource selection
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spelling Importance of the interplay between land cover and topography in modeling habitat selectionNatsukawa, HarukiYuasa, HirokiFujisaki, MasaoKobayashi, TakayukiMaruyama, HiroyoshiMasukawa, KatsujiNunokawa, KouichiSaito, HitoshiSato, GinichiSutton, Luke J.Takahashi, MakotoToba, TakeshiWashizawa, SumioYanagawa, MasafumiYoshida, KunihiroSergio, FabrizioEcological niche modelingHabitat preferenceHabitat suitabilityLand useRemote sensingResource selectionAnthropogenic land cover change is one of the greatest threats to the persistence of organisms. Therefore, identifying and safeguarding optimal land covers for declining organisms is a major challenge of the Anthropocene. Priority land covers are typically identified through habitat selection studies. These traditionally use land cover and/or topographic features as separate, additive predictors of organismal occurrence, despite the fact that each land cover is superimposed on specific topographic features, such as elevation or slope, which may affect its attractiveness. Here, we tested the importance of considering the largely overlooked interplay between land cover and topography, using as a model a golden eagle Aquila chrysaetos population which is sharply declining due to human-induced land cover alteration. We found that the overlay of a key land cover type (old-growth forest) on underlying terrain known to be favorable for the population (steep slopes at higher elevations than the nest) dramatically increased its attractiveness. Conversely, the matching of the same land cover with unfavorable topography (gentle slopes at lower elevations) deteriorated its attractiveness for the population. Thus, underlying topography acted as the major determinant of land cover suitability for the eagle population. The conservation implications could be profound, because modeling land cover per se could waste conservation resources on low quality sites (old-growth forest on gentle terrain at low elevations) with unlikely benefits for the threatened eagle population. We expect topographic modulators of land cover quality to be more common than previously appreciated in many or most study systems, as numerous organisms inhabiting terrestrial and aquatic environments, regardless of taxonomic group, exhibit selectivity for specific topographic features and specific land cover types. In conclusion, we encourage modelers to take more into account underlying modulators that may drive differences in quality within the same land cover. This would make wildlife-habitat models more realistic, improve their applicability, and enhance the cost-effectiveness of conservation efforts.This study was supported by KAKENHI grant 19J22186 and 24K23920 of the Japan Society for the Promotion of Science to Haruki Natsukawa, and PID2022-138848NB-I00 of the Spanish Ministry of Science and Innovation with Feder Funds to Fabrizio Sergio.Peer reviewedElsevierJapan Society for the Promotion of ScienceMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/386882https://api.elsevier.com/content/abstract/scopus_id/85210118543reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-138848NB-I00The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.1016/j.ecolind.2024.112896https://doi.org/10.1016/j.ecolind.2024.112896Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3868822026-05-22T06:33:51Z
dc.title.none.fl_str_mv Importance of the interplay between land cover and topography in modeling habitat selection
title Importance of the interplay between land cover and topography in modeling habitat selection
spellingShingle Importance of the interplay between land cover and topography in modeling habitat selection
Natsukawa, Haruki
Ecological niche modeling
Habitat preference
Habitat suitability
Land use
Remote sensing
Resource selection
title_short Importance of the interplay between land cover and topography in modeling habitat selection
title_full Importance of the interplay between land cover and topography in modeling habitat selection
title_fullStr Importance of the interplay between land cover and topography in modeling habitat selection
title_full_unstemmed Importance of the interplay between land cover and topography in modeling habitat selection
title_sort Importance of the interplay between land cover and topography in modeling habitat selection
dc.creator.none.fl_str_mv Natsukawa, Haruki
Yuasa, Hiroki
Fujisaki, Masao
Kobayashi, Takayuki
Maruyama, Hiroyoshi
Masukawa, Katsuji
Nunokawa, Kouichi
Saito, Hitoshi
Sato, Ginichi
Sutton, Luke J.
Takahashi, Makoto
Toba, Takeshi
Washizawa, Sumio
Yanagawa, Masafumi
Yoshida, Kunihiro
Sergio, Fabrizio
author Natsukawa, Haruki
author_facet Natsukawa, Haruki
Yuasa, Hiroki
Fujisaki, Masao
Kobayashi, Takayuki
Maruyama, Hiroyoshi
Masukawa, Katsuji
Nunokawa, Kouichi
Saito, Hitoshi
Sato, Ginichi
Sutton, Luke J.
Takahashi, Makoto
Toba, Takeshi
Washizawa, Sumio
Yanagawa, Masafumi
Yoshida, Kunihiro
Sergio, Fabrizio
author_role author
author2 Yuasa, Hiroki
Fujisaki, Masao
Kobayashi, Takayuki
Maruyama, Hiroyoshi
Masukawa, Katsuji
Nunokawa, Kouichi
Saito, Hitoshi
Sato, Ginichi
Sutton, Luke J.
Takahashi, Makoto
Toba, Takeshi
Washizawa, Sumio
Yanagawa, Masafumi
Yoshida, Kunihiro
Sergio, Fabrizio
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Japan Society for the Promotion of Science
Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Ecological niche modeling
Habitat preference
Habitat suitability
Land use
Remote sensing
Resource selection
topic Ecological niche modeling
Habitat preference
Habitat suitability
Land use
Remote sensing
Resource selection
description Anthropogenic land cover change is one of the greatest threats to the persistence of organisms. Therefore, identifying and safeguarding optimal land covers for declining organisms is a major challenge of the Anthropocene. Priority land covers are typically identified through habitat selection studies. These traditionally use land cover and/or topographic features as separate, additive predictors of organismal occurrence, despite the fact that each land cover is superimposed on specific topographic features, such as elevation or slope, which may affect its attractiveness. Here, we tested the importance of considering the largely overlooked interplay between land cover and topography, using as a model a golden eagle Aquila chrysaetos population which is sharply declining due to human-induced land cover alteration. We found that the overlay of a key land cover type (old-growth forest) on underlying terrain known to be favorable for the population (steep slopes at higher elevations than the nest) dramatically increased its attractiveness. Conversely, the matching of the same land cover with unfavorable topography (gentle slopes at lower elevations) deteriorated its attractiveness for the population. Thus, underlying topography acted as the major determinant of land cover suitability for the eagle population. The conservation implications could be profound, because modeling land cover per se could waste conservation resources on low quality sites (old-growth forest on gentle terrain at low elevations) with unlikely benefits for the threatened eagle population. We expect topographic modulators of land cover quality to be more common than previously appreciated in many or most study systems, as numerous organisms inhabiting terrestrial and aquatic environments, regardless of taxonomic group, exhibit selectivity for specific topographic features and specific land cover types. In conclusion, we encourage modelers to take more into account underlying modulators that may drive differences in quality within the same land cover. This would make wildlife-habitat models more realistic, improve their applicability, and enhance the cost-effectiveness of conservation efforts.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/386882
https://api.elsevier.com/content/abstract/scopus_id/85210118543
url http://hdl.handle.net/10261/386882
https://api.elsevier.com/content/abstract/scopus_id/85210118543
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-138848NB-I00
The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.1016/j.ecolind.2024.112896
https://doi.org/10.1016/j.ecolind.2024.112896

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