Fast–slow traits predict competition network structure and its response to resources and enemies

Author:

Daniel Caroline1ORCID,Allan Eric12ORCID,Saiz Hugo13ORCID,Godoy Oscar45ORCID

Affiliation:

1. Institute for Plant Sciences (IPS) Bern University Bern Switzerland

2. Centre for Development and Environment University of Bern Bern Switzerland

3. Departamento de Ciencias Agrarias y Medio Natural, Escuela Politécnica Superior, Instituto Universitario de Investigación en Ciencias Ambientales de Aragón (IUCA) Universidad de Zaragoza Huesca Spain

4. Departamento de Biología, Instituto Universitario de Investigación Marina (INMAR) Universidad de Cádiz Puerto Real Spain

5. Estación Biológica de Doñana, EBD‐CSIC Sevilla Spain

Abstract

AbstractPlants 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.

Funder

European Social Fund

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Ministerio de Economía y Competitividad

Publisher

Wiley

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