Biotic interactions boost spatial models of species richness
Biotic interactions are known to aff ect the composition of species assemblages via several mechanisms, such as competition and facilitation. However, most spatial models of species richness do not explicitly consider inter-specifi c interactions. Here, we test whether incorporating biotic interacti...
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ftunivpretoria:oai:repository.up.ac.za:2263/52812 2023-05-15T15:10:11+02:00 Biotic interactions boost spatial models of species richness Mod, Heidi K. Le Roux, Peter Christiaan Guisan, Antoine Luoto, Miska 2016-06-01T07:24:56Z http://hdl.handle.net/2263/52812 https://doi.org/10.1111/ecog.01129 en eng Wiley http://hdl.handle.net/2263/52812 Mod, HK, Le Roux, PC, Guisan, A & Luoto, M 2016, 'Biotic interactions boost spatial models of species richness', Ecography, vol. 38, no. 9, pp. 913-921. 0906-7590 (print) 1600-0587 (online) doi:10.1111/ecog.01129 © 2015 The Authors. Ecography © 2015 Nordic Society Oikos. This is the pre-peer reviewed version of the following article : Biotic interactions boost spatial models of species richness, Ecography vol. 38, no. 9, pp. 913-921, 2015. doi : 10.1111/ecog.01129. The definite version is available at : http://onlinelibrary.wiley.comjournal/10.1111/(ISSN)1600-0587. Biotic interactions Enhanced predictions Impact biodiversity Species richness Postprint Article 2016 ftunivpretoria https://doi.org/10.1111/ecog.01129 2022-05-31T13:23:47Z Biotic interactions are known to aff ect the composition of species assemblages via several mechanisms, such as competition and facilitation. However, most spatial models of species richness do not explicitly consider inter-specifi c interactions. Here, we test whether incorporating biotic interactions into high-resolution models alters predictions of species richness as hypothesised. We included key biotic variables (cover of three dominant arctic-alpine plant species) into two methodologically divergent species richness modelling frameworks – stacked species distribution models (SSDM) and macroecological models (MEM) – for three ecologically and evolutionary distinct taxonomic groups (vascular plants, bryophytes and lichens). Predictions from models including biotic interactions were compared to the predictions of models based on climatic and abiotic data only. Including plant – plant interactions consistently and signifi cantly lowered bias in species richness predictions and increased predictive power for independent evaluation data when compared to the conventional climatic and abiotic data based models. Improvements in predictions were constant irrespective of the modelling framework or taxonomic group used. Th e global biodiversity crisis necessitates accurate predictions of how changes in biotic and abiotic conditions will potentially aff ect species richness patterns. Here, we demonstrate that models of the spatial distribution of species richness can be improved by incorporating biotic interactions, and thus that these key predictor factors must be accounted for in biodiversity forecasts. Academy of Finland (Project Number 1140873) and Research Foundation of the University of Helsinki. http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1600-0587 2016-09-30 hb2016 Plant Science Article in Journal/Newspaper Arctic University of Pretoria: UPSpace Arctic Ecography 38 9 913 921 |
institution |
Open Polar |
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University of Pretoria: UPSpace |
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ftunivpretoria |
language |
English |
topic |
Biotic interactions Enhanced predictions Impact biodiversity Species richness |
spellingShingle |
Biotic interactions Enhanced predictions Impact biodiversity Species richness Mod, Heidi K. Le Roux, Peter Christiaan Guisan, Antoine Luoto, Miska Biotic interactions boost spatial models of species richness |
topic_facet |
Biotic interactions Enhanced predictions Impact biodiversity Species richness |
description |
Biotic interactions are known to aff ect the composition of species assemblages via several mechanisms, such as competition and facilitation. However, most spatial models of species richness do not explicitly consider inter-specifi c interactions. Here, we test whether incorporating biotic interactions into high-resolution models alters predictions of species richness as hypothesised. We included key biotic variables (cover of three dominant arctic-alpine plant species) into two methodologically divergent species richness modelling frameworks – stacked species distribution models (SSDM) and macroecological models (MEM) – for three ecologically and evolutionary distinct taxonomic groups (vascular plants, bryophytes and lichens). Predictions from models including biotic interactions were compared to the predictions of models based on climatic and abiotic data only. Including plant – plant interactions consistently and signifi cantly lowered bias in species richness predictions and increased predictive power for independent evaluation data when compared to the conventional climatic and abiotic data based models. Improvements in predictions were constant irrespective of the modelling framework or taxonomic group used. Th e global biodiversity crisis necessitates accurate predictions of how changes in biotic and abiotic conditions will potentially aff ect species richness patterns. Here, we demonstrate that models of the spatial distribution of species richness can be improved by incorporating biotic interactions, and thus that these key predictor factors must be accounted for in biodiversity forecasts. Academy of Finland (Project Number 1140873) and Research Foundation of the University of Helsinki. http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1600-0587 2016-09-30 hb2016 Plant Science |
format |
Article in Journal/Newspaper |
author |
Mod, Heidi K. Le Roux, Peter Christiaan Guisan, Antoine Luoto, Miska |
author_facet |
Mod, Heidi K. Le Roux, Peter Christiaan Guisan, Antoine Luoto, Miska |
author_sort |
Mod, Heidi K. |
title |
Biotic interactions boost spatial models of species richness |
title_short |
Biotic interactions boost spatial models of species richness |
title_full |
Biotic interactions boost spatial models of species richness |
title_fullStr |
Biotic interactions boost spatial models of species richness |
title_full_unstemmed |
Biotic interactions boost spatial models of species richness |
title_sort |
biotic interactions boost spatial models of species richness |
publisher |
Wiley |
publishDate |
2016 |
url |
http://hdl.handle.net/2263/52812 https://doi.org/10.1111/ecog.01129 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://hdl.handle.net/2263/52812 Mod, HK, Le Roux, PC, Guisan, A & Luoto, M 2016, 'Biotic interactions boost spatial models of species richness', Ecography, vol. 38, no. 9, pp. 913-921. 0906-7590 (print) 1600-0587 (online) doi:10.1111/ecog.01129 |
op_rights |
© 2015 The Authors. Ecography © 2015 Nordic Society Oikos. This is the pre-peer reviewed version of the following article : Biotic interactions boost spatial models of species richness, Ecography vol. 38, no. 9, pp. 913-921, 2015. doi : 10.1111/ecog.01129. The definite version is available at : http://onlinelibrary.wiley.comjournal/10.1111/(ISSN)1600-0587. |
op_doi |
https://doi.org/10.1111/ecog.01129 |
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Ecography |
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38 |
container_issue |
9 |
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913 |
op_container_end_page |
921 |
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1766341232881041408 |