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Annual air temperature variability and biotic interactions explain tundra shrub species abundance
Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
Dokumenter
- Annual air temperature variability and biotic interactions explain tundra
Accepteret manuskript, 1,92 MB, PDF-dokument
DOI
- https://doi.org/10.1111/jvs.13009
Forlagets udgivne version
- Jonathan von Oppen
- Signe Normand
- Anne D. Bjorkman, Gothenberg Global Biodiversity Centre, University of Gothenburg, Sverige
- Anne Blach-Overgaard
- Jakob Johann Assmann ,
- Mads C. Forchhammer, University Centre in Svalbard, Københavns Universitet, Norge
- Maya Guéguen, Universite Grenoble Alpes, Université Savoie Mont Blanc, Frankrig
- Jacob Nabe-Nielsen
Questions
Shrub vegetation has been expanding across much of the rapidly changing Arctic. Yet, there is still uncertainty about the underlying drivers of shrub community composition. Here, we use extensive vegetation surveys and a trait‐based approach to answer the following questions: Which abiotic and biotic factors explain abundance of shrub species and functional groups in the Arctic tundra, and can we interpret these relationships using plant traits related to resource acquisition?
Location
Nuup Kangerlua (Godthåbsfjord), Western Greenland.
Methods
We tested the power of nine climatic, topographic and biotic variables to explain the abundances of nine shrub species using a Bayesian hierarchical modelling framework.
Results
We found highly variable responses among species and functional groups to both abiotic and biotic environmental variation. The overall most important abiotic explanatory variable was annual air temperature variability, which was highly correlated with winter minimum air temperature. Functional community composition and graminoid abundance were the most influential biotic factors. While we did not find systematic patterns between shrub abundances and abiotic variables with regard to resource acquisition traits, these traits did explain relationships between shrub abundances and biotic variables.
Conclusions
Shrub abundance responses to abiotic variables rarely aligned with expectations based on plants’ resource acquisition traits or functional groups. Our results therefore indicate that approaches exclusively based on resource acquisition traits might be limited in their ability to predict abundances of individual groups and species, particularly in response to complex abiotic environments. However, integrating community theory and functional trait concepts represents a promising pathway to better predict biotic interactions and ultimately responses of dominant shrub vegetation to rapid environmental changes across the arctic tundra biome.
Shrub vegetation has been expanding across much of the rapidly changing Arctic. Yet, there is still uncertainty about the underlying drivers of shrub community composition. Here, we use extensive vegetation surveys and a trait‐based approach to answer the following questions: Which abiotic and biotic factors explain abundance of shrub species and functional groups in the Arctic tundra, and can we interpret these relationships using plant traits related to resource acquisition?
Location
Nuup Kangerlua (Godthåbsfjord), Western Greenland.
Methods
We tested the power of nine climatic, topographic and biotic variables to explain the abundances of nine shrub species using a Bayesian hierarchical modelling framework.
Results
We found highly variable responses among species and functional groups to both abiotic and biotic environmental variation. The overall most important abiotic explanatory variable was annual air temperature variability, which was highly correlated with winter minimum air temperature. Functional community composition and graminoid abundance were the most influential biotic factors. While we did not find systematic patterns between shrub abundances and abiotic variables with regard to resource acquisition traits, these traits did explain relationships between shrub abundances and biotic variables.
Conclusions
Shrub abundance responses to abiotic variables rarely aligned with expectations based on plants’ resource acquisition traits or functional groups. Our results therefore indicate that approaches exclusively based on resource acquisition traits might be limited in their ability to predict abundances of individual groups and species, particularly in response to complex abiotic environments. However, integrating community theory and functional trait concepts represents a promising pathway to better predict biotic interactions and ultimately responses of dominant shrub vegetation to rapid environmental changes across the arctic tundra biome.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | e13009 |
| Tidsskrift | Journal of Vegetation Science |
| Vol/bind | 32 |
| Nummer | 2 |
| Antal sider | 15 |
| ISSN | 1100-9233 |
| DOI | |
| Status | Udgivet - mar. 2021 |
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