Outcomes of biotic interactions are dependent on multiple environmental variables
QUESTION : Can variation in the outcome of biotic interactions in relation to environmental severity bemore accurately predictedwhen consideringmultiple stress and/or disturbance variables? LOCATION : Arctic-alpine tundra in Kilpisj€arvi, North Finland. METHODS : To test the impact of including mult...
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Online Access: | http://hdl.handle.net/2263/40860 https://doi.org/10.1111/jvs.12148 |
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ftunivpretoria:oai:repository.up.ac.za:2263/40860 2023-05-15T14:55:46+02:00 Outcomes of biotic interactions are dependent on multiple environmental variables Mod, Heidi K. Luoto, Miska Le Roux, Peter Christiaan 2014-07 http://hdl.handle.net/2263/40860 https://doi.org/10.1111/jvs.12148 en eng Wiley http://hdl.handle.net/2263/40860 Mod, HK, Le Roux, PC & Luoto, M 2014, 'Outcomes of biotic interactions are dependent on multiple environmental variables', Journal of Vegetation Science, vol. 25, no. 4, pp. 1024-1032. 1100-9233 (print) 1654-1103 (online) doi:10.1111/jvs.12148 © 2014 International Association for Vegetation Science. Wiley.This is a preprint of an article published in Journal of Vegetation Science, vol. 25, no.4, pp.1024-1032, 2014.doi : 10.1111/jvs.12148 The definite version is available at : http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1654-1103 Competition Empetrum nigrum subsp.hermaphroditum Facilitation Plant–plant interactions Reproductive effort Stressgradient hypothesis Preprint Article 2014 ftunivpretoria https://doi.org/10.1111/jvs.12148 2022-05-31T10:47:37Z QUESTION : Can variation in the outcome of biotic interactions in relation to environmental severity bemore accurately predictedwhen consideringmultiple stress and/or disturbance variables? LOCATION : Arctic-alpine tundra in Kilpisj€arvi, 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 bestmodel 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 varyingwith 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. CONCLUTIONS : 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 ... Other/Unknown Material Arctic Empetrum nigrum North Finland Tundra University of Pretoria: UPSpace Arctic Journal of Vegetation Science 25 4 1024 1032 |
institution |
Open Polar |
collection |
University of Pretoria: UPSpace |
op_collection_id |
ftunivpretoria |
language |
English |
topic |
Competition Empetrum nigrum subsp.hermaphroditum Facilitation Plant–plant interactions Reproductive effort Stressgradient hypothesis |
spellingShingle |
Competition Empetrum nigrum subsp.hermaphroditum Facilitation Plant–plant interactions Reproductive effort Stressgradient hypothesis Mod, Heidi K. Luoto, Miska Le Roux, Peter Christiaan Outcomes of biotic interactions are dependent on multiple environmental variables |
topic_facet |
Competition Empetrum nigrum subsp.hermaphroditum Facilitation Plant–plant interactions Reproductive effort Stressgradient hypothesis |
description |
QUESTION : Can variation in the outcome of biotic interactions in relation to environmental severity bemore accurately predictedwhen consideringmultiple stress and/or disturbance variables? LOCATION : Arctic-alpine tundra in Kilpisj€arvi, 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 bestmodel 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 varyingwith 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. CONCLUTIONS : 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 |
Other/Unknown Material |
author |
Mod, Heidi K. Luoto, Miska Le Roux, Peter Christiaan |
author_facet |
Mod, Heidi K. Luoto, Miska Le Roux, Peter Christiaan |
author_sort |
Mod, Heidi 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 |
publisher |
Wiley |
publishDate |
2014 |
url |
http://hdl.handle.net/2263/40860 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_relation |
http://hdl.handle.net/2263/40860 Mod, HK, Le Roux, PC & Luoto, M 2014, 'Outcomes of biotic interactions are dependent on multiple environmental variables', Journal of Vegetation Science, vol. 25, no. 4, pp. 1024-1032. 1100-9233 (print) 1654-1103 (online) doi:10.1111/jvs.12148 |
op_rights |
© 2014 International Association for Vegetation Science. Wiley.This is a preprint of an article published in Journal of Vegetation Science, vol. 25, no.4, pp.1024-1032, 2014.doi : 10.1111/jvs.12148 The definite version is available at : http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1654-1103 |
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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1766327783430029312 |