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Linking biotic homogenisation with large-scale changes of species associations

Stanislas Rigal, Vincent Devictor, Pierre Gaüzère, Sonia Kéfi, Jukka T. Forsman, Mira H. Kajanus, Mikko Mönkkönen, Vasilis Dakos
doi: https://doi.org/10.1101/2020.11.13.380956
Stanislas Rigal
1ISEM, Université de Montpellier, CNRS, IRD, EPHE, Montpellier, France
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  • For correspondence: stanislas.rigal@ens-lyon.fr
Vincent Devictor
1ISEM, Université de Montpellier, CNRS, IRD, EPHE, Montpellier, France
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Pierre Gaüzère
2Université Grenoble Alpes, CNRS, University of Savoie Mont Blanc, LECA, Laboratoire d’Écologie Alpine, Grenoble, France
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Sonia Kéfi
1ISEM, Université de Montpellier, CNRS, IRD, EPHE, Montpellier, France
3Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
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Jukka T. Forsman
4Department of Ecology and Genetics, University of Oulu, Oulu, Finland
5Natural Resources Institute Finland, Oulu, Finland
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Mira H. Kajanus
4Department of Ecology and Genetics, University of Oulu, Oulu, Finland
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Mikko Mönkkönen
6University of Jyvaskyla, Department of Biological and Environmental Science, P.O. Box 35, 40014 Jyväskylä, Finland
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Vasilis Dakos
1ISEM, Université de Montpellier, CNRS, IRD, EPHE, Montpellier, France
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Abstract

Aim The impact of global change on biodiversity is commonly assessed in terms of changes in species distributions, species richness and species composition across communities. Whether and how much interactions between species are also changing is much less documented and mostly limited to local studies of ecological networks. Moreover, we largely ignore how biotic homogenisation (i.e. the replacement of a set of diverse and mainly specialist species by a few generalists) is affecting or being affected by changes in the structure of species interactions. Here, we approximate species interactions with species associations based on the correlation in species spatial co-occurrence to understand the spatio-temporal changes of species interactions and their relationship to biotic homogenisation.

Location France.

Time period 2001-2017.

Major taxa studied Common breeding birds.

Methods We use network approaches to build three community-aggregated indices to characterise species associations and we compare them to changes in species composition in communities. We evaluate the spatial distribution and temporal dynamics of these indices in a dataset of bird co-abundances of more than 100 species monitored for 17 years (2001-2017) from 1,969 sites across France. We finally test whether spatial and temporal changes of species associations are related to species homogenisation estimated as the spatio-temporal dynamics of β-diversity.

Results We document a non-random spatial distribution of both structure and temporal changes in species association networks. We also report a directional change in species associations linked to β-diversity modifications in space and time, suggesting that biotic homogenisation affects not only species composition but also species associations.

Main Conclusions Our study highlights the importance of evaluating changes of species association networks, in addition to species turnover when studying biodiversity responses to global change.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted November 15, 2020.
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Linking biotic homogenisation with large-scale changes of species associations
Stanislas Rigal, Vincent Devictor, Pierre Gaüzère, Sonia Kéfi, Jukka T. Forsman, Mira H. Kajanus, Mikko Mönkkönen, Vasilis Dakos
bioRxiv 2020.11.13.380956; doi: https://doi.org/10.1101/2020.11.13.380956
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Linking biotic homogenisation with large-scale changes of species associations
Stanislas Rigal, Vincent Devictor, Pierre Gaüzère, Sonia Kéfi, Jukka T. Forsman, Mira H. Kajanus, Mikko Mönkkönen, Vasilis Dakos
bioRxiv 2020.11.13.380956; doi: https://doi.org/10.1101/2020.11.13.380956

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