Highly variable species distribution models in a subarctic stream metacommunity: patterns, mechanisms and implications

Special Issue: Metacommunities in river networks: The importance of network structure and connectivity on patterns and processes. International audience Metacommunity theory focuses on assembly patterns in ecological communities, originally exemplified through four different, yet non-exclusive, pers...

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Published in:Freshwater Biology
Main Authors: de Mendoza, Guillermo, Kaivosoja, Riikka, Grönroos, Mira, Hjort, Jan, Ilmonen, Jari, Kärnä, Olli-Matti, Paasivirta, Lauri, Tokola, Laura, Heino, Jani
Other Authors: Centre d'Estudis Avançats de Blanes (CEAB), Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC), Géographie de l'environnement (GEODE), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), University of Oulu, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Natural Environment Centre Oulu, Finnish Environment Institute (SYKE), This study is part of the project “Spatial scaling, metacommunity structure and patterns in stream communities” that was supported financially by a grant from the Academy of Finland. Further support was provided by grants (no: 273557, no: 267995 and no: 285040) from the Academy of Finland.
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2018
Subjects:
Online Access:https://univ-tlse2.hal.science/hal-02450949
https://univ-tlse2.hal.science/hal-02450949/document
https://univ-tlse2.hal.science/hal-02450949/file/deMendoza_etal_2018_FWB.pdf
https://doi.org/10.1111/fwb.12993
id ftunivtoulouse2:oai:HAL:hal-02450949v1
record_format openpolar
institution Open Polar
collection Université Toulouse 2 - Jean Jaurès: HAL
op_collection_id ftunivtoulouse2
language English
topic beta regression
comparative analysis
insects
metacommunity theory
single-species 61 distribution models
stream macroinvertebrates
subarctic streams
[SDV.EE]Life Sciences [q-bio]/Ecology
environment
[SDE.MCG]Environmental Sciences/Global Changes
spellingShingle beta regression
comparative analysis
insects
metacommunity theory
single-species 61 distribution models
stream macroinvertebrates
subarctic streams
[SDV.EE]Life Sciences [q-bio]/Ecology
environment
[SDE.MCG]Environmental Sciences/Global Changes
de Mendoza, Guillermo
Kaivosoja, Riikka
Grönroos, Mira
Hjort, Jan
Ilmonen, Jari
Kärnä, Olli-Matti
Paasivirta, Lauri
Tokola, Laura
Heino, Jani
Highly variable species distribution models in a subarctic stream metacommunity: patterns, mechanisms and implications
topic_facet beta regression
comparative analysis
insects
metacommunity theory
single-species 61 distribution models
stream macroinvertebrates
subarctic streams
[SDV.EE]Life Sciences [q-bio]/Ecology
environment
[SDE.MCG]Environmental Sciences/Global Changes
description Special Issue: Metacommunities in river networks: The importance of network structure and connectivity on patterns and processes. International audience Metacommunity theory focuses on assembly patterns in ecological communities, originally exemplified through four different, yet non-exclusive, perspectives: patch dynamics, species sorting, source-sink dynamics, and neutral theory. More recently, three exclusive components have been proposed to describe a different metacommunity framework: habitat heterogeneity, species equivalence, and dispersal. Here, we aim at evaluating the insect metacommunity of a subarctic stream network under these two different frameworks. We first modelled the presence/absence of 47 stream insects in northernmost Finland using binomial generalised linear models (GLMs). The deviance explained by pure local environmental (E), spatial (S), and climatic variables (C) was then analysed across species using beta regression. In this comparative analysis, site occupancy, as well as taxonomic and biological trait vectors obtained from principal coordinate analysis, were used as predictor variables. Single-species distributions were better explained by in-stream environmental and spatial factors than by climatic forcing, but in a highly variable fashion. This variability was difficult to relate to the taxonomic relatedness among species or their biological trait similarity. Site occupancy, however, was related to model performance of the binomial GLMs based on spatial effects: as populations are likely to be better connected for common species due to their near ubiquity, spatial factors may also explain better their distributions. According to the classical four-perspective framework, the observation of both environmental and spatial effects suggests a role for either mass effects or species sorting constrained by dispersal limitation, or both. Taxonomic and biological traits, including the different dispersal capability of species, were scarcely important, which undermines the patch ...
author2 Centre d'Estudis Avançats de Blanes (CEAB)
Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC)
Géographie de l'environnement (GEODE)
Université Toulouse - Jean Jaurès (UT2J)
Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)
University of Oulu
Helsingin yliopisto = Helsingfors universitet = University of Helsinki
Natural Environment Centre Oulu
Finnish Environment Institute (SYKE)
This study is part of the project “Spatial scaling, metacommunity structure and patterns in stream communities” that was supported financially by a grant from the Academy of Finland. Further support was provided by grants (no: 273557, no: 267995 and no: 285040) from the Academy of Finland.
format Article in Journal/Newspaper
author de Mendoza, Guillermo
Kaivosoja, Riikka
Grönroos, Mira
Hjort, Jan
Ilmonen, Jari
Kärnä, Olli-Matti
Paasivirta, Lauri
Tokola, Laura
Heino, Jani
author_facet de Mendoza, Guillermo
Kaivosoja, Riikka
Grönroos, Mira
Hjort, Jan
Ilmonen, Jari
Kärnä, Olli-Matti
Paasivirta, Lauri
Tokola, Laura
Heino, Jani
author_sort de Mendoza, Guillermo
title Highly variable species distribution models in a subarctic stream metacommunity: patterns, mechanisms and implications
title_short Highly variable species distribution models in a subarctic stream metacommunity: patterns, mechanisms and implications
title_full Highly variable species distribution models in a subarctic stream metacommunity: patterns, mechanisms and implications
title_fullStr Highly variable species distribution models in a subarctic stream metacommunity: patterns, mechanisms and implications
title_full_unstemmed Highly variable species distribution models in a subarctic stream metacommunity: patterns, mechanisms and implications
title_sort highly variable species distribution models in a subarctic stream metacommunity: patterns, mechanisms and implications
publisher HAL CCSD
publishDate 2018
url https://univ-tlse2.hal.science/hal-02450949
https://univ-tlse2.hal.science/hal-02450949/document
https://univ-tlse2.hal.science/hal-02450949/file/deMendoza_etal_2018_FWB.pdf
https://doi.org/10.1111/fwb.12993
genre Subarctic
genre_facet Subarctic
op_source ISSN: 0046-5070
EISSN: 1365-2427
Freshwater Biology
https://univ-tlse2.hal.science/hal-02450949
Freshwater Biology, 2018, 1 (63), pp.33-47. ⟨10.1111/fwb.12993⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1111/fwb.12993
hal-02450949
https://univ-tlse2.hal.science/hal-02450949
https://univ-tlse2.hal.science/hal-02450949/document
https://univ-tlse2.hal.science/hal-02450949/file/deMendoza_etal_2018_FWB.pdf
doi:10.1111/fwb.12993
op_rights http://creativecommons.org/licenses/by/
info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.1111/fwb.12993
container_title Freshwater Biology
container_volume 63
container_issue 1
container_start_page 33
op_container_end_page 47
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spelling ftunivtoulouse2:oai:HAL:hal-02450949v1 2024-05-19T07:49:10+00:00 Highly variable species distribution models in a subarctic stream metacommunity: patterns, mechanisms and implications de Mendoza, Guillermo Kaivosoja, Riikka Grönroos, Mira Hjort, Jan Ilmonen, Jari Kärnä, Olli-Matti Paasivirta, Lauri Tokola, Laura Heino, Jani Centre d'Estudis Avançats de Blanes (CEAB) Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC) Géographie de l'environnement (GEODE) Université Toulouse - Jean Jaurès (UT2J) Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS) University of Oulu Helsingin yliopisto = Helsingfors universitet = University of Helsinki Natural Environment Centre Oulu Finnish Environment Institute (SYKE) This study is part of the project “Spatial scaling, metacommunity structure and patterns in stream communities” that was supported financially by a grant from the Academy of Finland. Further support was provided by grants (no: 273557, no: 267995 and no: 285040) from the Academy of Finland. 2018-01 https://univ-tlse2.hal.science/hal-02450949 https://univ-tlse2.hal.science/hal-02450949/document https://univ-tlse2.hal.science/hal-02450949/file/deMendoza_etal_2018_FWB.pdf https://doi.org/10.1111/fwb.12993 en eng HAL CCSD Wiley info:eu-repo/semantics/altIdentifier/doi/10.1111/fwb.12993 hal-02450949 https://univ-tlse2.hal.science/hal-02450949 https://univ-tlse2.hal.science/hal-02450949/document https://univ-tlse2.hal.science/hal-02450949/file/deMendoza_etal_2018_FWB.pdf doi:10.1111/fwb.12993 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 0046-5070 EISSN: 1365-2427 Freshwater Biology https://univ-tlse2.hal.science/hal-02450949 Freshwater Biology, 2018, 1 (63), pp.33-47. ⟨10.1111/fwb.12993⟩ beta regression comparative analysis insects metacommunity theory single-species 61 distribution models stream macroinvertebrates subarctic streams [SDV.EE]Life Sciences [q-bio]/Ecology environment [SDE.MCG]Environmental Sciences/Global Changes info:eu-repo/semantics/article Journal articles 2018 ftunivtoulouse2 https://doi.org/10.1111/fwb.12993 2024-04-22T00:18:59Z Special Issue: Metacommunities in river networks: The importance of network structure and connectivity on patterns and processes. International audience Metacommunity theory focuses on assembly patterns in ecological communities, originally exemplified through four different, yet non-exclusive, perspectives: patch dynamics, species sorting, source-sink dynamics, and neutral theory. More recently, three exclusive components have been proposed to describe a different metacommunity framework: habitat heterogeneity, species equivalence, and dispersal. Here, we aim at evaluating the insect metacommunity of a subarctic stream network under these two different frameworks. We first modelled the presence/absence of 47 stream insects in northernmost Finland using binomial generalised linear models (GLMs). The deviance explained by pure local environmental (E), spatial (S), and climatic variables (C) was then analysed across species using beta regression. In this comparative analysis, site occupancy, as well as taxonomic and biological trait vectors obtained from principal coordinate analysis, were used as predictor variables. Single-species distributions were better explained by in-stream environmental and spatial factors than by climatic forcing, but in a highly variable fashion. This variability was difficult to relate to the taxonomic relatedness among species or their biological trait similarity. Site occupancy, however, was related to model performance of the binomial GLMs based on spatial effects: as populations are likely to be better connected for common species due to their near ubiquity, spatial factors may also explain better their distributions. According to the classical four-perspective framework, the observation of both environmental and spatial effects suggests a role for either mass effects or species sorting constrained by dispersal limitation, or both. Taxonomic and biological traits, including the different dispersal capability of species, were scarcely important, which undermines the patch ... Article in Journal/Newspaper Subarctic Université Toulouse 2 - Jean Jaurès: HAL Freshwater Biology 63 1 33 47