Ecological network complexity scales with area
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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Springer Nature
2022-03
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Online Access: | http://hdl.handle.net/10261/272037 http://dx.doi.org/10.13039/501100001665 http://dx.doi.org/10.13039/501100000781 http://dx.doi.org/10.13039/501100001807 http://dx.doi.org/10.13039/501100001871 http://dx.doi.org/10.13039/501100004837 |
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dig-ibe-es-10261-2720372022-10-21T08:37:49Z Ecological network complexity scales with area Galiana, Núria Lurgi, Miguel Bastazini, Vinicius A. G. Bosch, Jordi Cagnolo, Luciano Cazelles, Kevin Claramunt-López, Bernat Emer, Carine Fortin, Marie-Josée Grass, Ingo Hernández-Castellano, Carlos Jauker Frank Leroux, Shawn 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. Agence Nationale de la Recherche (France) Région Midi-Pyrénées European Research Council Ministerio de Ciencia e Innovación (España) Fundação de Amparo à Pesquisa do Estado de São Paulo Fundação para a Ciência e a Tecnologia (Portugal) 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. This work was supported by the TULIP Laboratory of Excellence (ANR-10-LABX-41 and 394 ANR-11-IDEX-002-02) to J.M.M., by a Region Midi-Pyrenees project (CNRS 121090) to J.M.M., and by the FRAGCLIM Consolidator Grant (726176) to J.M.M. from the European Research Council under the European Union’s Horizon 2020 Research and Innovation Program. The study was also supported by Spanish MICINN projects CGL2009-12646, CSD2008-0040 and CGL2013-41856 to J.B. and A.R. C.E. was funded through the São Paulo Research Foundation (FAPESP 2015/15172-7). V.A.G.B. was funded by National Funds through FCT—Foundation for Science and Technology under the Project UIDB/05183/2020. W.T. received funding from the ERA-Net BiodivERsA—Belmont Forum, with the national funder Agence National pour la Recherche (FutureWeb: ANR-18-EBI4–0009 and BearConnect: ANR-16-EBI3-0003). Peer reviewed 2022-06-09T08:54:37Z 2022-06-09T08:54:37Z 2022-03 artículo Nature Ecology and Evolution 6: 307-314 (2022) http://hdl.handle.net/10261/272037 10.1038/s41559-021-01644-4 2397-334X http://dx.doi.org/10.13039/501100001665 http://dx.doi.org/10.13039/501100000781 http://dx.doi.org/10.13039/501100001807 http://dx.doi.org/10.13039/501100001871 http://dx.doi.org/10.13039/501100004837 en #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/726176 info:eu-repo/grantAgreement/MINECO//CGL2009-12646 info:eu-repo/grantAgreement/MINECO//CSD2008-0040 info:eu-repo/grantAgreement/MINECO//CGL2013-41856-P/ES/HETEROGENEIDAD ESPACIAL EN COMUNIDADES PLANTA-POLINIZADOR: EFECTOS SOBRE LAS REDES DE INTERACCION Y CONSECUENCIAS FUNCIONALES PARA LA POLINIZACION/ https://doi.org/10.1038/s41559-021-01644-4 Sí none Springer Nature |
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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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Agence Nationale de la Recherche (France) Galiana, Núria Lurgi, Miguel Bastazini, Vinicius A. G. Bosch, Jordi Cagnolo, Luciano Cazelles, Kevin Claramunt-López, Bernat Emer, Carine Fortin, Marie-Josée Grass, Ingo Hernández-Castellano, Carlos Jauker Frank Leroux, Shawn 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. |
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artículo |
author |
Galiana, Núria Lurgi, Miguel Bastazini, Vinicius A. G. Bosch, Jordi Cagnolo, Luciano Cazelles, Kevin Claramunt-López, Bernat Emer, Carine Fortin, Marie-Josée Grass, Ingo Hernández-Castellano, Carlos Jauker Frank Leroux, Shawn 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. |
spellingShingle |
Galiana, Núria Lurgi, Miguel Bastazini, Vinicius A. G. Bosch, Jordi Cagnolo, Luciano Cazelles, Kevin Claramunt-López, Bernat Emer, Carine Fortin, Marie-Josée Grass, Ingo Hernández-Castellano, Carlos Jauker Frank Leroux, Shawn 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. Ecological network complexity scales with area |
author_sort |
Galiana, Núria |
title |
Ecological network complexity scales with area |
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 |
publisher |
Springer Nature |
publishDate |
2022-03 |
url |
http://hdl.handle.net/10261/272037 http://dx.doi.org/10.13039/501100001665 http://dx.doi.org/10.13039/501100000781 http://dx.doi.org/10.13039/501100001807 http://dx.doi.org/10.13039/501100001871 http://dx.doi.org/10.13039/501100004837 |
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