Ecological network complexity scales with area
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1038/s41559-021-01644-4 http://hdl.handle.net/11449/223259 |
Resumo: | Larger geographical areas contain more species—an observation raised to a law in ecology. Less explored is whether biodiversity changes are accompanied by a modification of interaction networks. We use data from 32 spatial interaction networks from different ecosystems to analyse how network structure changes with area. We find that basic community structure descriptors (number of species, links and links per species) increase with area following a power law. Yet, the distribution of links per species varies little with area, indicating that the fundamental organization of interactions within networks is conserved. Our null model analyses suggest that the spatial scaling of network structure is determined by factors beyond species richness and the number of links. We demonstrate that biodiversity–area relationships can be extended from species counts to higher levels of network complexity. Therefore, the consequences of anthropogenic habitat destruction may extend from species loss to wider simplification of natural communities. |
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Ecological network complexity scales with areaLarger geographical areas contain more species—an observation raised to a law in ecology. Less explored is whether biodiversity changes are accompanied by a modification of interaction networks. We use data from 32 spatial interaction networks from different ecosystems to analyse how network structure changes with area. We find that basic community structure descriptors (number of species, links and links per species) increase with area following a power law. Yet, the distribution of links per species varies little with area, indicating that the fundamental organization of interactions within networks is conserved. Our null model analyses suggest that the spatial scaling of network structure is determined by factors beyond species richness and the number of links. We demonstrate that biodiversity–area relationships can be extended from species counts to higher levels of network complexity. Therefore, the consequences of anthropogenic habitat destruction may extend from species loss to wider simplification of natural communities.Centre for Biodiversity Theory and Modelling Theoretical and Experimental Ecology Station CNRSInstitut de Ciència i Tecnologia Ambientals Universitat Autònoma de BarcelonaDepartment of Biosciences Swansea UniversityMediterranean Institute for Agriculture Environment and Development University of ÉvoraCREAF Bellaterra (Cerdanyola del Vallès)Institute for Multidisciplinary Plant Biology (IMBIV) Faculty of Exact Physical and Natural Sciences National University of Cordoba and CONICETDepartment of Integrative Biology University of GuelphUniversitat Autònoma de Barcelona Bellaterra (Cerdanyola del Vallès)Departament of Ecology Institute of Bioscience São Paulo State University (UNESP) CP 199Departament of Botany University of Pernambuco (UFPE) CP 199Department of Ecology and Evolutionary Biology University of TorontoEcology of Tropical Agricultural Systems University of HohenheimDepartment of Animal Ecology Justus Liebig University GiessenDepartment of Biology Memorial University of NewfoundlandBasque Centre for Climate Change (BC3)IKERBASQUE Basque Foundation for ScienceDepartment of Biological Geological and Environmental Sciences University of CataniaDepartamento de Ecología de la Biodiversidad Instituto de Ecología Universidad Nacional Autónoma de MéxicoDepartment of Animal Ecology and Tropical Biology Biocenter University of Würzburg Am HublandGlobal Change Research Group Inst. Mediterrani d’Estudis Avançats (CSIC-UIB)Evolution of Technology Laboratory Institute of Evolutionary Biology CSIC–Universitat Pompeu FabraEuropean Centre for Living TechnologyArgentine Institute for Dryland Research CONICET and National University of CuyoFaculty of Exact and Natural Sciences National University of CuyoeScience Institute University of WashingtonDépartement de Biologie Université de Sherbrooke SherbrookeDepartment of Ecology Swedish University of Agricultural SciencesDepartment of Agricultural Sciences University of HelsinkiUniv. Grenoble Alpes Univ. Savoie Mont Blanc CNRS LECADepartament of Ecology Institute of Bioscience São Paulo State University (UNESP) CP 199CNRSUniversitat Autònoma de BarcelonaSwansea UniversityUniversity of ÉvoraBellaterra (Cerdanyola del Vallès)National University of Cordoba and CONICETUniversity of GuelphUniversidade Estadual Paulista (UNESP)Universidade Federal de Pernambuco (UFPE)University of TorontoUniversity of HohenheimJustus Liebig University GiessenMemorial University of NewfoundlandBasque Centre for Climate Change (BC3)Basque Foundation for ScienceUniversity of CataniaUniversidad Nacional Autónoma de MéxicoAm HublandInst. Mediterrani d’Estudis Avançats (CSIC-UIB)CSIC–Universitat Pompeu FabraEuropean Centre for Living TechnologyCONICET and National University of CuyoNational University of CuyoUniversity of WashingtonSherbrookeSwedish University of Agricultural SciencesUniversity of HelsinkiLECAGaliana, NúriaLurgi, MiguelBastazini, Vinicius A. G.Bosch, JordiCagnolo, LucianoCazelles, KevinClaramunt-López, BernatEmer, Carine [UNESP]Fortin, Marie-JoséeGrass, IngoHernández-Castellano, CarlosJauker, FrankLeroux, Shawn J.McCann, KevinMcLeod, Anne M.Montoya, DanielMulder, ChristianOsorio-Canadas, SergioReverté, SaraRodrigo, AnselmSteffan-Dewenter, IngolfTraveset, AnnaValverde, SergiVázquez, Diego P.Wood, Spencer A.Gravel, DominiqueRoslin, TomasThuiller, WilfriedMontoya, José M.2022-04-28T19:49:35Z2022-04-28T19:49:35Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1038/s41559-021-01644-4Nature Ecology and Evolution.2397-334Xhttp://hdl.handle.net/11449/22325910.1038/s41559-021-01644-42-s2.0-85122859187Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengNature Ecology and Evolutioninfo:eu-repo/semantics/openAccess2022-04-28T19:49:36Zoai:repositorio.unesp.br:11449/223259Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:26:16.980289Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Ecological network complexity scales with area |
title |
Ecological network complexity scales with area |
spellingShingle |
Ecological network complexity scales with area Galiana, Núria |
title_short |
Ecological network complexity scales with area |
title_full |
Ecological network complexity scales with area |
title_fullStr |
Ecological network complexity scales with area |
title_full_unstemmed |
Ecological network complexity scales with area |
title_sort |
Ecological network complexity scales with area |
author |
Galiana, Núria |
author_facet |
Galiana, Núria Lurgi, Miguel Bastazini, Vinicius A. G. Bosch, Jordi Cagnolo, Luciano Cazelles, Kevin Claramunt-López, Bernat Emer, Carine [UNESP] Fortin, Marie-Josée Grass, Ingo Hernández-Castellano, Carlos Jauker, Frank Leroux, Shawn J. McCann, Kevin McLeod, Anne M. Montoya, Daniel Mulder, Christian Osorio-Canadas, Sergio Reverté, Sara Rodrigo, Anselm Steffan-Dewenter, Ingolf Traveset, Anna Valverde, Sergi Vázquez, Diego P. Wood, Spencer A. Gravel, Dominique Roslin, Tomas Thuiller, Wilfried Montoya, José M. |
author_role |
author |
author2 |
Lurgi, Miguel Bastazini, Vinicius A. G. Bosch, Jordi Cagnolo, Luciano Cazelles, Kevin Claramunt-López, Bernat Emer, Carine [UNESP] Fortin, Marie-Josée Grass, Ingo Hernández-Castellano, Carlos Jauker, Frank Leroux, Shawn J. McCann, Kevin McLeod, Anne M. Montoya, Daniel Mulder, Christian Osorio-Canadas, Sergio Reverté, Sara Rodrigo, Anselm Steffan-Dewenter, Ingolf Traveset, Anna Valverde, Sergi Vázquez, Diego P. Wood, Spencer A. Gravel, Dominique Roslin, Tomas Thuiller, Wilfried Montoya, José M. |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
CNRS Universitat Autònoma de Barcelona Swansea University University of Évora Bellaterra (Cerdanyola del Vallès) National University of Cordoba and CONICET University of Guelph Universidade Estadual Paulista (UNESP) Universidade Federal de Pernambuco (UFPE) University of Toronto University of Hohenheim Justus Liebig University Giessen Memorial University of Newfoundland Basque Centre for Climate Change (BC3) Basque Foundation for Science University of Catania Universidad Nacional Autónoma de México Am Hubland Inst. Mediterrani d’Estudis Avançats (CSIC-UIB) CSIC–Universitat Pompeu Fabra European Centre for Living Technology CONICET and National University of Cuyo National University of Cuyo University of Washington Sherbrooke Swedish University of Agricultural Sciences University of Helsinki LECA |
dc.contributor.author.fl_str_mv |
Galiana, Núria Lurgi, Miguel Bastazini, Vinicius A. G. Bosch, Jordi Cagnolo, Luciano Cazelles, Kevin Claramunt-López, Bernat Emer, Carine [UNESP] Fortin, Marie-Josée Grass, Ingo Hernández-Castellano, Carlos Jauker, Frank Leroux, Shawn J. McCann, Kevin McLeod, Anne M. Montoya, Daniel Mulder, Christian Osorio-Canadas, Sergio Reverté, Sara Rodrigo, Anselm Steffan-Dewenter, Ingolf Traveset, Anna Valverde, Sergi Vázquez, Diego P. Wood, Spencer A. Gravel, Dominique Roslin, Tomas Thuiller, Wilfried Montoya, José M. |
description |
Larger geographical areas contain more species—an observation raised to a law in ecology. Less explored is whether biodiversity changes are accompanied by a modification of interaction networks. We use data from 32 spatial interaction networks from different ecosystems to analyse how network structure changes with area. We find that basic community structure descriptors (number of species, links and links per species) increase with area following a power law. Yet, the distribution of links per species varies little with area, indicating that the fundamental organization of interactions within networks is conserved. Our null model analyses suggest that the spatial scaling of network structure is determined by factors beyond species richness and the number of links. We demonstrate that biodiversity–area relationships can be extended from species counts to higher levels of network complexity. Therefore, the consequences of anthropogenic habitat destruction may extend from species loss to wider simplification of natural communities. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-28T19:49:35Z 2022-04-28T19:49:35Z 2022-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1038/s41559-021-01644-4 Nature Ecology and Evolution. 2397-334X http://hdl.handle.net/11449/223259 10.1038/s41559-021-01644-4 2-s2.0-85122859187 |
url |
http://dx.doi.org/10.1038/s41559-021-01644-4 http://hdl.handle.net/11449/223259 |
identifier_str_mv |
Nature Ecology and Evolution. 2397-334X 10.1038/s41559-021-01644-4 2-s2.0-85122859187 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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Nature Ecology and Evolution |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
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UNESP |
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UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
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1808129202128420864 |