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Geographical variation of multiplex ecological networks in marine intertidal communities
Ecology, Volume: 101, Issue: 11
Swansea University Author: Miguel Lurgi Rivera
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DOI (Published version): 10.1002/ecy.3165
Abstract
Understanding the drivers of geographical variation in species distributions, and the resulting community structure, constitutes one of the grandest challenges in ecology. Geographical patterns of species richness and composition have been relatively well studied. Less is known about how the entire...
Published in: | Ecology |
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ISSN: | 0012-9658 1939-9170 |
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Wiley
2020
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URI: | https://cronfa.swan.ac.uk/Record/cronfa55349 |
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Our results suggest that structural properties of multiplex ecological networks are affected by local species richness and modulated by factors influencing productivity and environmental predictability. Our results show that non‐trophic negative interactions are more sensitive to spatially structured temporal environmental variation than feeding relationships, with non‐trophic positive interactions being the least labile to it. We also show that environmental effects are partly mediated through changes in species richness and partly through direct influences on species interactions, probably associated to changes in environmental predictability and to bottom‐up nutrient availability. 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2021-03-08T09:44:53.9346637 v2 55349 2020-10-06 Geographical variation of multiplex ecological networks in marine intertidal communities 947df89d116a1ab75515e421089e0443 0000-0001-9891-895X Miguel Lurgi Rivera Miguel Lurgi Rivera true false 2020-10-06 BGPS Understanding the drivers of geographical variation in species distributions, and the resulting community structure, constitutes one of the grandest challenges in ecology. Geographical patterns of species richness and composition have been relatively well studied. Less is known about how the entire set of trophic and non‐trophic ecological interactions, and the complex networks that they create by gluing species together in complex communities, change across geographical extents. Here, we compiled data of species composition and three types of ecological interactions occurring between species in rocky intertidal communities across a large spatial extent (~970 km of shoreline) of central Chile, and analyzed the geographical variability in these multiplex networks (i.e., comprising several interaction types) of ecological interactions. We calculated nine network summary statistics common across interaction types, and additional network attributes specific to each of the different types of interactions. We then investigated potential environmental drivers of this multivariate network organization. These included variation in sea surface temperature and coastal upwelling, the main drivers of productivity in nearshore waters. Our results suggest that structural properties of multiplex ecological networks are affected by local species richness and modulated by factors influencing productivity and environmental predictability. Our results show that non‐trophic negative interactions are more sensitive to spatially structured temporal environmental variation than feeding relationships, with non‐trophic positive interactions being the least labile to it. We also show that environmental effects are partly mediated through changes in species richness and partly through direct influences on species interactions, probably associated to changes in environmental predictability and to bottom‐up nutrient availability. Our findings highlight the need for a comprehensive picture of ecological interactions and their geographical variability if we are to predict potential effects of environmental changes on ecological communities. Journal Article Ecology 101 11 Wiley 0012-9658 1939-9170 central Chile; coastal upwelling; ecological interactions; environmental predictability; foodwebs; latitudinal gradient; network structure; non-trophic negative interactions; non-trophic positive interac-tions; productivity; rocky shore intertidal communities; sea surface temperature 3 11 2020 2020-11-03 10.1002/ecy.3165 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University 2021-03-08T09:44:53.9346637 2020-10-06T14:28:22.5637746 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Miguel Lurgi Rivera 0000-0001-9891-895X 1 Núria Galiana 2 Bernardo R. Broitman 3 Sonia Kéfi 4 Evie A. Wieters 5 Sergio A. Navarrete 6 55349__18339__33af563d8c7540fe856935ae5e54b939.pdf ecy.3165.pdf 2020-10-06T14:38:18.5955446 Output 1086645 application/pdf Version of Record true © 2020 The Authors. This is an open access article under the terms of the Creative Commons Attribution License true eng http://creativecommons.org/licenses/by/4.0/ |
title |
Geographical variation of multiplex ecological networks in marine intertidal communities |
spellingShingle |
Geographical variation of multiplex ecological networks in marine intertidal communities Miguel Lurgi Rivera |
title_short |
Geographical variation of multiplex ecological networks in marine intertidal communities |
title_full |
Geographical variation of multiplex ecological networks in marine intertidal communities |
title_fullStr |
Geographical variation of multiplex ecological networks in marine intertidal communities |
title_full_unstemmed |
Geographical variation of multiplex ecological networks in marine intertidal communities |
title_sort |
Geographical variation of multiplex ecological networks in marine intertidal communities |
author_id_str_mv |
947df89d116a1ab75515e421089e0443 |
author_id_fullname_str_mv |
947df89d116a1ab75515e421089e0443_***_Miguel Lurgi Rivera |
author |
Miguel Lurgi Rivera |
author2 |
Miguel Lurgi Rivera Núria Galiana Bernardo R. Broitman Sonia Kéfi Evie A. Wieters Sergio A. Navarrete |
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Journal article |
container_title |
Ecology |
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101 |
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11 |
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2020 |
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Swansea University |
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0012-9658 1939-9170 |
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10.1002/ecy.3165 |
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Wiley |
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Faculty of Science and Engineering |
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School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences |
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Understanding the drivers of geographical variation in species distributions, and the resulting community structure, constitutes one of the grandest challenges in ecology. Geographical patterns of species richness and composition have been relatively well studied. Less is known about how the entire set of trophic and non‐trophic ecological interactions, and the complex networks that they create by gluing species together in complex communities, change across geographical extents. Here, we compiled data of species composition and three types of ecological interactions occurring between species in rocky intertidal communities across a large spatial extent (~970 km of shoreline) of central Chile, and analyzed the geographical variability in these multiplex networks (i.e., comprising several interaction types) of ecological interactions. We calculated nine network summary statistics common across interaction types, and additional network attributes specific to each of the different types of interactions. We then investigated potential environmental drivers of this multivariate network organization. These included variation in sea surface temperature and coastal upwelling, the main drivers of productivity in nearshore waters. Our results suggest that structural properties of multiplex ecological networks are affected by local species richness and modulated by factors influencing productivity and environmental predictability. Our results show that non‐trophic negative interactions are more sensitive to spatially structured temporal environmental variation than feeding relationships, with non‐trophic positive interactions being the least labile to it. We also show that environmental effects are partly mediated through changes in species richness and partly through direct influences on species interactions, probably associated to changes in environmental predictability and to bottom‐up nutrient availability. Our findings highlight the need for a comprehensive picture of ecological interactions and their geographical variability if we are to predict potential effects of environmental changes on ecological communities. |
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2020-11-03T07:57:12Z |
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11.3254 |