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The impact of tree diversity on different aspects of insect herbivory along a global temperature gradient - A meta-analysis
- Source :
- PLoS ONE, PLoS ONE, Public Library of Science, 2016, 11 (11), 14 p. ⟨10.1371/journal.pone.0165815⟩, Plos One 11 (11), 14 p.. (2016), PLoS ONE, Vol 11, Iss 11, p e0165815 (2016)
- Publication Year :
- 2016
- Publisher :
- Public Library of Science, 2016.
-
Abstract
- International audience; Forests with higher tree diversity are often assumed to be more resistant to insect herbivores but whether this effect depends on climatic conditions is so far poorly understood. In particular, a forest's resistance to herbivory may depend on mean annual temperature (MAT) as a key driver of plant and insect phenology. We carried out a global meta-analysis on regression coefficients between tree diversity and four aspects of insect herbivory, namely herbivore damage, abundance, incidence rate and species richness. To test for a potential shift of tree diversity effects along a global gradient of MAT we applied mixed-effects models and estimated grand mean effect sizes and the influence of MAT, experimental vs. observational studies and herbivores diet breadth. There was no overall effect of tree diversity on the pooled effect sizes of insect herbivore damage, abundance and incidence rate. However, when analysed separately, we found positive grand mean effect sizes for herbivore abundance and species richness. For herbivore damage and incidence rate we found a significant but opposing shift along a gradient of MAT indicating that with increasing MAT diversity effects on herbivore damage tend towards associational resistance whereas diversity effects on incidence rates tend towards associational susceptibility. Our results contradict previous meta-analyses reporting overall associational resistance to insect herbivores in mixed forests. Instead, we report that tree diversity effects on insect herbivores can follow a biogeographic pattern calling for further in-depth studies in this field.
- Subjects :
- Insecta
[SDV]Life Sciences [q-bio]
Population Dynamics
lcsh:Medicine
Plant Science
Forests
Trees
Mathematical and Statistical Techniques
forêt
lcsh:Science
Ecology
Temperature
Biodiversity
Plants
Terrestrial Environments
phénologie
Trophic Interactions
Insects
Community Ecology
Physical Sciences
condition climatique
Statistics (Mathematics)
Research Article
Ecological Metrics
Arthropoda
biogeographie
Research and Analysis Methods
Ecosystems
Host-Parasite Interactions
Plant-Animal Interactions
Dendrology
Animals
Herbivory
structure arboréscente
Statistical Methods
Models, Statistical
Plant Ecology
lcsh:R
Ecology and Environmental Sciences
Organisms
Biology and Life Sciences
Plant-Herbivore Interactions
Species Diversity
insecte herbivore
Invertebrates
Sample Size
lcsh:Q
Animal Distribution
human activities
Mathematics
Meta-Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Database :
- OpenAIRE
- Journal :
- PLoS ONE, PLoS ONE, Public Library of Science, 2016, 11 (11), 14 p. ⟨10.1371/journal.pone.0165815⟩, Plos One 11 (11), 14 p.. (2016), PLoS ONE, Vol 11, Iss 11, p e0165815 (2016)
- Accession number :
- edsair.pmid.dedup....4508852b617417d338dd46141413d561