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Plant physical and chemical defence variation along elevation gradients: a functional trait-based approach

Overview of attention for article published in Oecologia, May 2018
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Title
Plant physical and chemical defence variation along elevation gradients: a functional trait-based approach
Published in
Oecologia, May 2018
DOI 10.1007/s00442-018-4162-y
Pubmed ID
Authors

Alan Kergunteuil, Patrice Descombes, Gaetan Glauser, Loïc Pellissier, Sergio Rasmann

Abstract

Predicting variation in plant functional traits related to anti-herbivore defences remains a major challenge in ecological research, considering that multiple traits have evolved in response to both abiotic and biotic conditions. Therefore, understanding variation in plant anti-herbivore defence traits requires studying their expression along steep environmental gradients, such as along elevation, where multiple biotic and abiotic factors co-vary. We expand on plant defence theory and propose a novel conceptual framework to address the sources of variations of plant resistance traits at the community level. We analysed elevation patterns of within-community trait dissimilarity using the RaoQ index, and the community-weighted-mean (CWM) index, on several plant functional traits: plant height, specific leaf area (SLA), leaf-dry-matter-content (LDMC), silicium content, presence of trichomes, carbon-to-nitrogen ratio (CN) and total secondary metabolite richness. We found that at high elevation, where harsh environmental conditions persist, community functional convergence is dictated by traits relating to plant growth (plant height and SLA), while divergence arises for traits relating resource-use (LDMC). At low elevation, where greater biotic pressure occurs, we found a combination of random (plant height), convergence (metabolite richness) and divergence patterns (silicium content). This framework thus combines community assembly rules of ecological filtering and niche partition with plant defence hypotheses to unravel the relationship between environmental variations, biotic pressure and the average phenotype of plants within a community.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 20%
Researcher 13 12%
Student > Master 10 9%
Student > Bachelor 9 8%
Student > Doctoral Student 5 5%
Other 15 14%
Unknown 34 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 37%
Environmental Science 20 19%
Chemistry 3 3%
Computer Science 2 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 2 2%
Unknown 39 36%