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Published on: January 19, 2020
Saproxylic beetles' morphological traits and higher trophic guilds indicate boreal forest naturalness
Ross Wetherbee1,2, Tone Birkemoe2, Ryan C Burner2,3
1Department of Environmental Sciences Western Norway University of Applied Sciences Sogndal Norway.
Near-natural forests harbor distinct beetle communities compared to managed forests. Trait-based biodiversity measures, like predator abundance and body size, better indicate forest naturalness than simple species richness.
Area of Science:
- Ecology
- Conservation Biology
- Forestry
Background:
- Forests provide critical ecosystem services and harbor significant biodiversity.
- Anthropogenic activities negatively impact forest ecosystems.
- Near-natural forests, characterized by old-growth traits, support distinct species assemblages compared to managed forests.
Purpose of the Study:
- To determine differences in beetle community composition between near-natural and managed forests.
- To identify biodiversity measures that best indicate forest naturalness.
- To evaluate the conservation value of near-natural forests.
Main Methods:
- Utilized a large dataset of 339 obligate saproxylic beetle species collected over a decade in southern Norway's boreal region.
- Employed ordination techniques to analyze differences in community composition between forest types.
- Tested various biodiversity metrics, including species richness and trait-based measures, for their predictive power of forest naturalness.
Main Results:
- A significant difference in beetle community composition was observed between near-natural and managed forests.
- Proportional abundance of predators, community weighted mean (CWM) of wing length, and CWM of body roundness were the most predictive indicators of forest naturalness.
- Higher species richness in near-natural forests was not statistically significant.
Conclusions:
- Near-natural forests possess significant conservation value due to their unique biodiversity.
- Trait-based biodiversity measures offer a more sensitive assessment of forest quality and naturalness than species richness.
- Findings support the use of specific biodiversity metrics for evaluating forest management strategies and conservation efforts.
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