No Cover Image

Journal article 578 views 87 downloads

The spatial scaling of food web structure across European biogeographical regions

Núria Galiana, Ceres Barros, João Braga, Gentile Francesco Ficetola, Luigi Maiorano, Wilfried Thuiller, José M. Montoya, Miguel Lurgi Rivera Orcid Logo

Ecography, Volume: 44, Issue: 5, Pages: 653 - 664

Swansea University Author: Miguel Lurgi Rivera Orcid Logo

  • 57684.pdf

    PDF | Version of Record

    © 2021 The Authors. This is an open access article under the terms of the Creative Commons Attribution License

    Download (2MB)

Check full text

DOI (Published version): 10.1111/ecog.05229

Abstract

The species–area relationship (SAR) is one of the most well-established scaling patterns in ecology. Its implications for understanding how communities change across spatial gradients are numerous, including the effects of habitat loss on biodiversity. However, ecological communities are not mere co...

Full description

Published in: Ecography
ISSN: 0906-7590 1600-0587
Published: Wiley 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa57684
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2021-08-25T08:59:13Z
last_indexed 2023-01-11T14:37:45Z
id cronfa57684
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-10-26T13:48:44.7188003</datestamp><bib-version>v2</bib-version><id>57684</id><entry>2021-08-24</entry><title>The spatial scaling of food web structure across European biogeographical regions</title><swanseaauthors><author><sid>947df89d116a1ab75515e421089e0443</sid><ORCID>0000-0001-9891-895X</ORCID><firstname>Miguel</firstname><surname>Lurgi Rivera</surname><name>Miguel Lurgi Rivera</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-08-24</date><deptcode>SBI</deptcode><abstract>The species&#x2013;area relationship (SAR) is one of the most well-established scaling patterns in ecology. Its implications for understanding how communities change across spatial gradients are numerous, including the effects of habitat loss on biodiversity. However, ecological communities are not mere collections of species. They are the result of interactions between these species forming complex networks that tie them together. Should we aim to grasp the spatial scaling of biodiversity as a whole, it is fundamental to understand the changes in the structure of interaction networks with area. In spite of a few empirical and theoretical studies that address this challenge, we still do not know much about how network structure changes with area, or what are the main environmental drivers of these changes. Here, using the meta-network of potential interactions between all terrestrial vertebrates in Europe (1140 species and 67 201 feeding interactions), we analysed network&#x2013;area relationships (NARs) that summarize how network properties scale with area. We do this across ten biogeographical regions, which differ in environmental characteristics. We found that the spatial scaling of network complexity strongly varied across biogeographical regions. However, once the variation in SARs was accounted for, differences in the shape of NARs vanished. On the other hand, the proportion of species across trophic levels remained remarkably constant across biogeographical regions and spatial scales, despite the great variation in species richness. Spatial variation in mean annual temperature and habitat clustering were the main environmental determinants of the shape of both SARs and NARs across Europe. Our results suggest new avenues in the exploration of the effects of environmental factors on the spatial scaling of biodiversity. We argue that NARs can provide new insights to analyse and understand ecological communities.</abstract><type>Journal Article</type><journal>Ecography</journal><volume>44</volume><journalNumber>5</journalNumber><paginationStart>653</paginationStart><paginationEnd>664</paginationEnd><publisher>Wiley</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0906-7590</issnPrint><issnElectronic>1600-0587</issnElectronic><keywords>food webs; geographical variation; metaweb; network&#x2013;area relationship; spatial scale; species&#x2013;area relationship; terrestrial vertebrate communities</keywords><publishedDay>3</publishedDay><publishedMonth>5</publishedMonth><publishedYear>2021</publishedYear><publishedDate>2021-05-03</publishedDate><doi>10.1111/ecog.05229</doi><url/><notes/><college>COLLEGE NANME</college><department>Biosciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SBI</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This work was supported by the TULIP Laboratory of Excellence (ANR-10-LABX-41 and 394 ANR-11-IDEX-002-02), by a Region Midi-Pyrenees project (CNRS 121090) and by the FRAGCLIM Consolidator Grant (726176) to JMM from the European Research Council under the European Union&#x2019;s Horizon 2020 Research and Innovation Program. WT and LM also received funding from the ERA-Net BiodivERsA-Belmont Forum, with the national funder Agence Nationale de la Recherche (ANR-18-EB14-0009), part of the 2018 Joint call BiodivERsA-Belmomt Forum call (project 'Future web').</funders><projectreference/><lastEdited>2022-10-26T13:48:44.7188003</lastEdited><Created>2021-08-24T13:29:10.8176285</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Biosciences</level></path><authors><author><firstname>N&#xFA;ria</firstname><surname>Galiana</surname><order>1</order></author><author><firstname>Ceres</firstname><surname>Barros</surname><order>2</order></author><author><firstname>Jo&#xE3;o</firstname><surname>Braga</surname><order>3</order></author><author><firstname>Gentile Francesco</firstname><surname>Ficetola</surname><order>4</order></author><author><firstname>Luigi</firstname><surname>Maiorano</surname><order>5</order></author><author><firstname>Wilfried</firstname><surname>Thuiller</surname><order>6</order></author><author><firstname>Jos&#xE9; M.</firstname><surname>Montoya</surname><order>7</order></author><author><firstname>Miguel</firstname><surname>Lurgi Rivera</surname><orcid>0000-0001-9891-895X</orcid><order>8</order></author></authors><documents><document><filename>57684__20964__463d2c8f698e4adebe256728cbbebe1a.pdf</filename><originalFilename>57684.pdf</originalFilename><uploaded>2021-09-22T12:07:20.9670800</uploaded><type>Output</type><contentLength>2098264</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9; 2021 The Authors. This is an open access article under the terms of the Creative Commons Attribution License</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/3.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2022-10-26T13:48:44.7188003 v2 57684 2021-08-24 The spatial scaling of food web structure across European biogeographical regions 947df89d116a1ab75515e421089e0443 0000-0001-9891-895X Miguel Lurgi Rivera Miguel Lurgi Rivera true false 2021-08-24 SBI The species–area relationship (SAR) is one of the most well-established scaling patterns in ecology. Its implications for understanding how communities change across spatial gradients are numerous, including the effects of habitat loss on biodiversity. However, ecological communities are not mere collections of species. They are the result of interactions between these species forming complex networks that tie them together. Should we aim to grasp the spatial scaling of biodiversity as a whole, it is fundamental to understand the changes in the structure of interaction networks with area. In spite of a few empirical and theoretical studies that address this challenge, we still do not know much about how network structure changes with area, or what are the main environmental drivers of these changes. Here, using the meta-network of potential interactions between all terrestrial vertebrates in Europe (1140 species and 67 201 feeding interactions), we analysed network–area relationships (NARs) that summarize how network properties scale with area. We do this across ten biogeographical regions, which differ in environmental characteristics. We found that the spatial scaling of network complexity strongly varied across biogeographical regions. However, once the variation in SARs was accounted for, differences in the shape of NARs vanished. On the other hand, the proportion of species across trophic levels remained remarkably constant across biogeographical regions and spatial scales, despite the great variation in species richness. Spatial variation in mean annual temperature and habitat clustering were the main environmental determinants of the shape of both SARs and NARs across Europe. Our results suggest new avenues in the exploration of the effects of environmental factors on the spatial scaling of biodiversity. We argue that NARs can provide new insights to analyse and understand ecological communities. Journal Article Ecography 44 5 653 664 Wiley 0906-7590 1600-0587 food webs; geographical variation; metaweb; network–area relationship; spatial scale; species–area relationship; terrestrial vertebrate communities 3 5 2021 2021-05-03 10.1111/ecog.05229 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University This work was supported by the TULIP Laboratory of Excellence (ANR-10-LABX-41 and 394 ANR-11-IDEX-002-02), by a Region Midi-Pyrenees project (CNRS 121090) and by the FRAGCLIM Consolidator Grant (726176) to JMM from the European Research Council under the European Union’s Horizon 2020 Research and Innovation Program. WT and LM also received funding from the ERA-Net BiodivERsA-Belmont Forum, with the national funder Agence Nationale de la Recherche (ANR-18-EB14-0009), part of the 2018 Joint call BiodivERsA-Belmomt Forum call (project 'Future web'). 2022-10-26T13:48:44.7188003 2021-08-24T13:29:10.8176285 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Núria Galiana 1 Ceres Barros 2 João Braga 3 Gentile Francesco Ficetola 4 Luigi Maiorano 5 Wilfried Thuiller 6 José M. Montoya 7 Miguel Lurgi Rivera 0000-0001-9891-895X 8 57684__20964__463d2c8f698e4adebe256728cbbebe1a.pdf 57684.pdf 2021-09-22T12:07:20.9670800 Output 2098264 application/pdf Version of Record true © 2021 The Authors. This is an open access article under the terms of the Creative Commons Attribution License true eng http://creativecommons.org/licenses/by/3.0/
title The spatial scaling of food web structure across European biogeographical regions
spellingShingle The spatial scaling of food web structure across European biogeographical regions
Miguel Lurgi Rivera
title_short The spatial scaling of food web structure across European biogeographical regions
title_full The spatial scaling of food web structure across European biogeographical regions
title_fullStr The spatial scaling of food web structure across European biogeographical regions
title_full_unstemmed The spatial scaling of food web structure across European biogeographical regions
title_sort The spatial scaling of food web structure across European biogeographical regions
author_id_str_mv 947df89d116a1ab75515e421089e0443
author_id_fullname_str_mv 947df89d116a1ab75515e421089e0443_***_Miguel Lurgi Rivera
author Miguel Lurgi Rivera
author2 Núria Galiana
Ceres Barros
João Braga
Gentile Francesco Ficetola
Luigi Maiorano
Wilfried Thuiller
José M. Montoya
Miguel Lurgi Rivera
format Journal article
container_title Ecography
container_volume 44
container_issue 5
container_start_page 653
publishDate 2021
institution Swansea University
issn 0906-7590
1600-0587
doi_str_mv 10.1111/ecog.05229
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
document_store_str 1
active_str 0
description The species–area relationship (SAR) is one of the most well-established scaling patterns in ecology. Its implications for understanding how communities change across spatial gradients are numerous, including the effects of habitat loss on biodiversity. However, ecological communities are not mere collections of species. They are the result of interactions between these species forming complex networks that tie them together. Should we aim to grasp the spatial scaling of biodiversity as a whole, it is fundamental to understand the changes in the structure of interaction networks with area. In spite of a few empirical and theoretical studies that address this challenge, we still do not know much about how network structure changes with area, or what are the main environmental drivers of these changes. Here, using the meta-network of potential interactions between all terrestrial vertebrates in Europe (1140 species and 67 201 feeding interactions), we analysed network–area relationships (NARs) that summarize how network properties scale with area. We do this across ten biogeographical regions, which differ in environmental characteristics. We found that the spatial scaling of network complexity strongly varied across biogeographical regions. However, once the variation in SARs was accounted for, differences in the shape of NARs vanished. On the other hand, the proportion of species across trophic levels remained remarkably constant across biogeographical regions and spatial scales, despite the great variation in species richness. Spatial variation in mean annual temperature and habitat clustering were the main environmental determinants of the shape of both SARs and NARs across Europe. Our results suggest new avenues in the exploration of the effects of environmental factors on the spatial scaling of biodiversity. We argue that NARs can provide new insights to analyse and understand ecological communities.
published_date 2021-05-03T04:13:36Z
_version_ 1763753922829221888
score 11.012678

Similar Items