Outcomes of biotic interactions are dependent on multiple environmental variables
Question: Can variation in the outcome of biotic interactions in relation to environmental severity be more accurately predicted when considering multiple stress and/or disturbance variables? Location: Arctic-alpine tundra in Kilpisjarvi, North Finland. Methods: To test the impact of including multi...
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ftunivlausanne:oai:serval.unil.ch:BIB_F98C9741A68C 2024-02-11T10:00:54+01:00 Outcomes of biotic interactions are dependent on multiple environmental variables Mod, H.K. le Roux, P.C. Luoto, M. 2014 https://serval.unil.ch/notice/serval:BIB_F98C9741A68C https://doi.org/10.1111/jvs.12148 eng eng info:eu-repo/semantics/altIdentifier/doi/10.1111/jvs.12148 info:eu-repo/semantics/altIdentifier/pissn/1654-1103 https://serval.unil.ch/notice/serval:BIB_F98C9741A68C doi:10.1111/jvs.12148 urn:issn:1100-9233 Journal of Vegetation Science, vol. 25, no. 4, pp. 1024-1032 Competition Empetrum nigrum subsp hermaphroditum Facilitation Plant-plant interactions Reproductive effort Stress-gradient hypothesis info:eu-repo/semantics/article article 2014 ftunivlausanne https://doi.org/10.1111/jvs.12148 2024-01-22T00:54:22Z Question: Can variation in the outcome of biotic interactions in relation to environmental severity be more accurately predicted when considering multiple stress and/or disturbance variables? Location: Arctic-alpine tundra in Kilpisjarvi, North Finland. Methods: To test the impact of including multiple environmental variables in analyses of the outcomes of biotic interactions, we modelled reproductive effort and cover of 17 arctic-alpine species as a function of Empetrum nigrum subsp. hermaphroditum cover, geomorphological disturbance and soil moisture with statistical interactions of the explanatory variables included. We implemented a best-subset approach using generalized linear models (GLM) and selected the best model for each species based on Akaike's information criterion (AIC). Results: For the majority of species, models including multiple environmental variables were selected as best. Reproductive effort depended on one or both environmental variables for all species, and 14 species were additionally influenced by Empetrum, with the impact of Empetrum varying with abiotic conditions in all but one of those species. Moreover, the three-way interaction of three explanatory variables was included in the best-fit models for six species. The impact of Empetrum on species cover showed a similar pattern, with 11 species affected by Empetrum and its statistical interactions with one or both abiotic variables. Conclusions: Biotic interactions have an important role in arctic-alpine vegetation, but to fully understand variation in their effects multiple environmental factors should be explicitly considered. In this study, the outcome of biotic interactions was frequently dependent on two abiotic variables (and occasionally additionally on their statistical interaction). Therefore, we demonstrate that studies based on only one environmental factor may cause misleading interpretations of the nature of biotic interactions in plant communities where there are multiple independent variables underlying the habitat ... Article in Journal/Newspaper Arctic Empetrum nigrum North Finland Tundra Université de Lausanne (UNIL): Serval - Serveur académique lausannois Arctic Journal of Vegetation Science 25 4 1024 1032 |
institution |
Open Polar |
collection |
Université de Lausanne (UNIL): Serval - Serveur académique lausannois |
op_collection_id |
ftunivlausanne |
language |
English |
topic |
Competition Empetrum nigrum subsp hermaphroditum Facilitation Plant-plant interactions Reproductive effort Stress-gradient hypothesis |
spellingShingle |
Competition Empetrum nigrum subsp hermaphroditum Facilitation Plant-plant interactions Reproductive effort Stress-gradient hypothesis Mod, H.K. le Roux, P.C. Luoto, M. Outcomes of biotic interactions are dependent on multiple environmental variables |
topic_facet |
Competition Empetrum nigrum subsp hermaphroditum Facilitation Plant-plant interactions Reproductive effort Stress-gradient hypothesis |
description |
Question: Can variation in the outcome of biotic interactions in relation to environmental severity be more accurately predicted when considering multiple stress and/or disturbance variables? Location: Arctic-alpine tundra in Kilpisjarvi, North Finland. Methods: To test the impact of including multiple environmental variables in analyses of the outcomes of biotic interactions, we modelled reproductive effort and cover of 17 arctic-alpine species as a function of Empetrum nigrum subsp. hermaphroditum cover, geomorphological disturbance and soil moisture with statistical interactions of the explanatory variables included. We implemented a best-subset approach using generalized linear models (GLM) and selected the best model for each species based on Akaike's information criterion (AIC). Results: For the majority of species, models including multiple environmental variables were selected as best. Reproductive effort depended on one or both environmental variables for all species, and 14 species were additionally influenced by Empetrum, with the impact of Empetrum varying with abiotic conditions in all but one of those species. Moreover, the three-way interaction of three explanatory variables was included in the best-fit models for six species. The impact of Empetrum on species cover showed a similar pattern, with 11 species affected by Empetrum and its statistical interactions with one or both abiotic variables. Conclusions: Biotic interactions have an important role in arctic-alpine vegetation, but to fully understand variation in their effects multiple environmental factors should be explicitly considered. In this study, the outcome of biotic interactions was frequently dependent on two abiotic variables (and occasionally additionally on their statistical interaction). Therefore, we demonstrate that studies based on only one environmental factor may cause misleading interpretations of the nature of biotic interactions in plant communities where there are multiple independent variables underlying the habitat ... |
format |
Article in Journal/Newspaper |
author |
Mod, H.K. le Roux, P.C. Luoto, M. |
author_facet |
Mod, H.K. le Roux, P.C. Luoto, M. |
author_sort |
Mod, H.K. |
title |
Outcomes of biotic interactions are dependent on multiple environmental variables |
title_short |
Outcomes of biotic interactions are dependent on multiple environmental variables |
title_full |
Outcomes of biotic interactions are dependent on multiple environmental variables |
title_fullStr |
Outcomes of biotic interactions are dependent on multiple environmental variables |
title_full_unstemmed |
Outcomes of biotic interactions are dependent on multiple environmental variables |
title_sort |
outcomes of biotic interactions are dependent on multiple environmental variables |
publishDate |
2014 |
url |
https://serval.unil.ch/notice/serval:BIB_F98C9741A68C https://doi.org/10.1111/jvs.12148 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Empetrum nigrum North Finland Tundra |
genre_facet |
Arctic Empetrum nigrum North Finland Tundra |
op_source |
Journal of Vegetation Science, vol. 25, no. 4, pp. 1024-1032 |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1111/jvs.12148 info:eu-repo/semantics/altIdentifier/pissn/1654-1103 https://serval.unil.ch/notice/serval:BIB_F98C9741A68C doi:10.1111/jvs.12148 urn:issn:1100-9233 |
op_doi |
https://doi.org/10.1111/jvs.12148 |
container_title |
Journal of Vegetation Science |
container_volume |
25 |
container_issue |
4 |
container_start_page |
1024 |
op_container_end_page |
1032 |
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1790596632288428032 |