Daniel, Caroline; Allan, Eric; Saiz, Hugo; Godoy, Oscar (2024). Fast-slow traits predict competition network structure and its response to resources and enemies. Ecology Letters, 27(4) Wiley-Blackwell Publishing 10.1111/ele.14425
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Plants interact in complex networks but how network structure depends on resources, natural enemies and species resource-use strategy remains poorly understood. Here, we quantified competition networks among 18 plants varying in fast-slow strategy, by testing how increased nutrient availability and reduced foliar pathogens affected intra- and inter-specific interactions. Our results show that nitrogen and pathogens altered several aspects of network structure, often in unexpected ways due to fast and slow growing species responding differently. Nitrogen addition increased competition asymmetry in slow growing networks, as expected, but decreased it in fast growing networks. Pathogen reduction made networks more even and less skewed because pathogens targeted weaker competitors. Surprisingly, pathogens and nitrogen dampened each other's effect. Our results show that plant growth strategy is key to understand how competition respond to resources and enemies, a prediction from classic theories which has rarely been tested by linking functional traits to competition networks.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Department of Biology > Institute of Plant Sciences (IPS) |
UniBE Contributor: |
Daniel, Caroline Marianne Véronique, Allan, Eric, Saiz Bustamante, Hugo |
Subjects: |
500 Science > 580 Plants (Botany) 000 Computer science, knowledge & systems |
ISSN: |
1461-023X |
Publisher: |
Wiley-Blackwell Publishing |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
08 Apr 2024 16:27 |
Last Modified: |
08 Apr 2024 23:09 |
Publisher DOI: |
10.1111/ele.14425 |
PubMed ID: |
38577899 |
Uncontrolled Keywords: |
leaf fungal pathogens network structure nitrogen addition plant–plant interactions species diversity specific leaf area |
BORIS DOI: |
10.48350/195722 |
URI: |
https://boris.unibe.ch/id/eprint/195722 |