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Trait-based responses to forestry and reindeer husbandry modify long-term changes in forest understories

View ORCID ProfileKonsta Happonen, Lauralotta Muurinen, View ORCID ProfileRisto Virtanen, Eero Kaakinen, View ORCID ProfileJohn-Arvid Grytnes, View ORCID ProfileElina Kaarlejärvi, Philippe Parisot, Matias Wolff, View ORCID ProfileTuija Maliniemi
doi: https://doi.org/10.1101/2020.04.30.069708
Konsta Happonen
1Department of Geosciences and Geography, University of Helsinki, Finland
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  • For correspondence: konsta.happonen@helsinki.fi
Lauralotta Muurinen
2Ecology and Genetics Research Unit, University of Oulu, Finland
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Risto Virtanen
2Ecology and Genetics Research Unit, University of Oulu, Finland
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Eero Kaakinen
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John-Arvid Grytnes
3Department of Biological Sciences, University of Bergen, Norway
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Elina Kaarlejärvi
4Research Center for Ecological Change, Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki
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Philippe Parisot
5Geography Research Unit, University of Oulu, Finland
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Matias Wolff
2Ecology and Genetics Research Unit, University of Oulu, Finland
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Tuija Maliniemi
3Department of Biological Sciences, University of Bergen, Norway
5Geography Research Unit, University of Oulu, Finland
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  • ORCID record for Tuija Maliniemi
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Abstract

Aim Land use is the foremost cause of global biodiversity decline, but species do not respond equally to land-use practices. Instead, it is suggested that responses vary with species traits, but long-term data on the trait-mediated effects of land-use on communities is scarce. Here we study how forest understory communities have been affected by common land-use practices during 4–5 decades, and whether changes in plant diversity are related to changes in functional composition.

Location Finland

Time period 1968–2019

Major taxa studied Vascular plants

Methods We resurveyed 245 vegetation plots in boreal herb-rich forest understories, and used hierarchical Bayesian linear models to relate changes in diversity, species composition, average plant size, and leaf economic traits to reindeer abundance, forest management intensity, and changes in climate, canopy cover and composition.

Results Forestry decreased species richness and increased turnover, but did not affect functional composition. Increased reindeer densities corresponded with decreased height and specific leaf area, and increased leaf dry matter content, evenness and diversity. Successional changes in the canopy were associated with increased specific leaf area and decreased leaf dry matter content and height over the study period. Effects of reindeer abundance and canopy density on diversity were partially mediated by vegetation height, which had a negative relationship with evenness. Climate change had no discernible effect on any variable.

Main conclusions Functional traits are useful in connecting vegetation changes to the mechanisms that drive them, and provide unique information compared to turnover and diversity metrics. These trait-dependent selection effects could inform whether species benefit or suffer from land use changes and explain observed vegetation shifts under global change.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Models completely rewritten to account for spatial confounders.

  • https://doi.org/10.5281/zenodo.3784332

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 4.0 International license.
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Posted January 13, 2021.
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Trait-based responses to forestry and reindeer husbandry modify long-term changes in forest understories
Konsta Happonen, Lauralotta Muurinen, Risto Virtanen, Eero Kaakinen, John-Arvid Grytnes, Elina Kaarlejärvi, Philippe Parisot, Matias Wolff, Tuija Maliniemi
bioRxiv 2020.04.30.069708; doi: https://doi.org/10.1101/2020.04.30.069708
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Trait-based responses to forestry and reindeer husbandry modify long-term changes in forest understories
Konsta Happonen, Lauralotta Muurinen, Risto Virtanen, Eero Kaakinen, John-Arvid Grytnes, Elina Kaarlejärvi, Philippe Parisot, Matias Wolff, Tuija Maliniemi
bioRxiv 2020.04.30.069708; doi: https://doi.org/10.1101/2020.04.30.069708

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