Evaluating the influence of neighborhood connectivity and habitat effects in dynamic occupancy species distribution models

Exploring new approaches and methodologies to characterize species distribution dynamics, instead of solely relying on static spatial patterns, should be a priority for species distribution modelling research. Dynamic occupancy models (here, ‘dynocc models’) are a promising tool to capture temporal...

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Detalhes bibliográficos
Autores: Solà, Oriol, Aquilué, Núria, Fraixedas, Sara, Brotons, Lluís
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/466152
Acesso em linha:https://doi.org/10.1111/ecog.06985
https://hdl.handle.net/10459.1/466152
Access Level:acceso abierto
Palavra-chave:Colonization
Distribution change
Dynamic occupancy models
Extinction
Hierarchical models
Neighborhood connectivity
Presence–absence
Range change
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spelling Evaluating the influence of neighborhood connectivity and habitat effects in dynamic occupancy species distribution modelsSolà, OriolAquilué, NúriaFraixedas, SaraBrotons, LluísColonizationDistribution changeDynamic occupancy modelsExtinctionHierarchical modelsNeighborhood connectivityPresence–absenceRange changeExploring new approaches and methodologies to characterize species distribution dynamics, instead of solely relying on static spatial patterns, should be a priority for species distribution modelling research. Dynamic occupancy models (here, ‘dynocc models’) are a promising tool to capture temporal patterns of distribution change but their spatial accuracy has been shown to be limited. In this study, we evaluated the effectiveness of incorporating neighborhood connectivity effects into the colonization and extinction functions of dynocc models. To accomplish this, we compared dynocc models accounting either for neighborhood connectivity only, for site-level habitat covariates only, or combining both neighborhood and habitat explanations in the models for species extinction and colonization. All models were evaluated for a total of 46 bird species typical of forests and shrublands using data at 1 km2 scale from two Catalan breeding bird atlases (CBBA2: 1999–2002 and CBBA3: 2015–2018). Models’ predictive performance varied across species between dynocc models incorporating habitat covariates alone and those considering neighborhood connectivity alone. Among species, 68% exhibited a predominant response to habitat effects, 24% showed similar responses for habitat and connectivity effects, and 9% were mostly associated with connectivity effects. Dynocc models combining connectivity and habitat covariates achieved the best predictive performance for most species, with bigger gains for species with similar results from habitat-only and connectivity-only models. However, relative performance gains compared to dynocc models using only habitat or connectivity variables were generally modest for most species. This study shows the benefits of considering more spatially explicit formulations in dynocc models, specifically incorporating neighborhood connectivity into the extinction and colonization processes. Our work also highlights the importance of evaluating different model formulations and assessing which aspects of the model are more important depending on the study species.This study was partially funded by MCIN/AEI through the projects GREENRISK (PID2020-119933RB-C22) and CEX2018-000828-S ‘Centro de Excelencia Severo Ochoa’. OS was supported by a pre-doctoral grant no. PRE2020-092082 by the Spanish Ministry of Science, Innovation and Universities. NA was supported by a Juan de la Cierva fellowship of the Spanish Ministry of Science and Innovation (FCJ2020-046387-I). SF was funded by the Beatriu de Pinós postdoctoral program of the Secretariat of Universities and Research, Ministry of Enterprise and Knowledge of the Government of Catalonia (2021 BP 00134) funded by the EU R+I Horizon 2020 program.John Wiley & Sons2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1111/ecog.06985https://hdl.handle.net/10459.1/466152reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119933RB-C22Reproducció del document publicat a https://doi.org/10.1111/ecog.06985Ecography, 2024, art. e06985cc-by (c) The Authors, 2024Attribution 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:recercat.cat:10459.1/4661522026-05-29T05:05:01Z
dc.title.none.fl_str_mv Evaluating the influence of neighborhood connectivity and habitat effects in dynamic occupancy species distribution models
title Evaluating the influence of neighborhood connectivity and habitat effects in dynamic occupancy species distribution models
spellingShingle Evaluating the influence of neighborhood connectivity and habitat effects in dynamic occupancy species distribution models
Solà, Oriol
Colonization
Distribution change
Dynamic occupancy models
Extinction
Hierarchical models
Neighborhood connectivity
Presence–absence
Range change
title_short Evaluating the influence of neighborhood connectivity and habitat effects in dynamic occupancy species distribution models
title_full Evaluating the influence of neighborhood connectivity and habitat effects in dynamic occupancy species distribution models
title_fullStr Evaluating the influence of neighborhood connectivity and habitat effects in dynamic occupancy species distribution models
title_full_unstemmed Evaluating the influence of neighborhood connectivity and habitat effects in dynamic occupancy species distribution models
title_sort Evaluating the influence of neighborhood connectivity and habitat effects in dynamic occupancy species distribution models
dc.creator.none.fl_str_mv Solà, Oriol
Aquilué, Núria
Fraixedas, Sara
Brotons, Lluís
author Solà, Oriol
author_facet Solà, Oriol
Aquilué, Núria
Fraixedas, Sara
Brotons, Lluís
author_role author
author2 Aquilué, Núria
Fraixedas, Sara
Brotons, Lluís
author2_role author
author
author
dc.subject.none.fl_str_mv Colonization
Distribution change
Dynamic occupancy models
Extinction
Hierarchical models
Neighborhood connectivity
Presence–absence
Range change
topic Colonization
Distribution change
Dynamic occupancy models
Extinction
Hierarchical models
Neighborhood connectivity
Presence–absence
Range change
description Exploring new approaches and methodologies to characterize species distribution dynamics, instead of solely relying on static spatial patterns, should be a priority for species distribution modelling research. Dynamic occupancy models (here, ‘dynocc models’) are a promising tool to capture temporal patterns of distribution change but their spatial accuracy has been shown to be limited. In this study, we evaluated the effectiveness of incorporating neighborhood connectivity effects into the colonization and extinction functions of dynocc models. To accomplish this, we compared dynocc models accounting either for neighborhood connectivity only, for site-level habitat covariates only, or combining both neighborhood and habitat explanations in the models for species extinction and colonization. All models were evaluated for a total of 46 bird species typical of forests and shrublands using data at 1 km2 scale from two Catalan breeding bird atlases (CBBA2: 1999–2002 and CBBA3: 2015–2018). Models’ predictive performance varied across species between dynocc models incorporating habitat covariates alone and those considering neighborhood connectivity alone. Among species, 68% exhibited a predominant response to habitat effects, 24% showed similar responses for habitat and connectivity effects, and 9% were mostly associated with connectivity effects. Dynocc models combining connectivity and habitat covariates achieved the best predictive performance for most species, with bigger gains for species with similar results from habitat-only and connectivity-only models. However, relative performance gains compared to dynocc models using only habitat or connectivity variables were generally modest for most species. This study shows the benefits of considering more spatially explicit formulations in dynocc models, specifically incorporating neighborhood connectivity into the extinction and colonization processes. Our work also highlights the importance of evaluating different model formulations and assessing which aspects of the model are more important depending on the study species.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1111/ecog.06985
https://hdl.handle.net/10459.1/466152
url https://doi.org/10.1111/ecog.06985
https://hdl.handle.net/10459.1/466152
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119933RB-C22
Reproducció del document publicat a https://doi.org/10.1111/ecog.06985
Ecography, 2024, art. e06985
dc.rights.none.fl_str_mv cc-by (c) The Authors, 2024
Attribution 4.0 International
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) The Authors, 2024
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,228081

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