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...
| Autores: | , , , , , , , , , , , , , , , |
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| 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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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 |
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info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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http://hdl.handle.net/10261/386882 https://api.elsevier.com/content/abstract/scopus_id/85210118543 |
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http://hdl.handle.net/10261/386882 https://api.elsevier.com/content/abstract/scopus_id/85210118543 |
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Inglés |
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Inglés |
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#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 Sí |
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