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Updated: Jun 16, 2025
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Quantifying Corticolous Arthropods Using Sticky Traps
Published on: January 19, 2020
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Vegetation structure and climate shape mountain arthropod distributions across trophic levels
Camille Martinez-Almoyna1, Irene Calderòn-Sanou1, Clément Lionnet1
1Laboratoire d'Ecologie Alpine, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France.
The Journal of Animal Ecology
|August 16, 2024
Summary
Understanding arthropod distribution in mountains is crucial. This study reveals vegetation structure and climate significantly influence arthropod populations, with nectarivores showing unique landscape and water sensitivity.
Area of Science:
- Ecology
- Biodiversity Science
- Environmental Science
Background:
- Arthropod distribution is poorly understood, especially in mountainous regions, despite their vital ecosystem roles.
- Mountain ecosystems face increasing pressure from global change, necessitating better predictive models for their inhabitants.
Purpose of the Study:
- To model the distribution of 31 foliar arthropod genera in the French Alps.
- To identify key environmental drivers shaping arthropod community composition across different trophic levels.
Main Methods:
- Utilized multi-trophic sampling and community DNA metabarcoding for comprehensive arthropod identification.
- Employed random forest models to analyze the relationships between environmental variables and arthropod distributions.
Main Results:
- Vegetation structure (herbaceous density, forest density/heterogeneity) and climate were primary drivers for most arthropod distributions.
- Nectarivore distributions were uniquely influenced by landscape structure and water availability.
- Responses to environmental gradients were consistent across most trophic groups.
Conclusions:
- Community DNA metabarcoding offers novel insights into arthropod distribution drivers.
- Modelling across diverse trophic groups is essential for predicting arthropod responses to global change.
- Conservation strategies in mountainous regions should consider vegetation structure and climate dynamics.
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