Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/19776
Title: A common framework for identifying linkage rules across different types of interactions
Contributor(s): Bartomeus, Ignasi (author); Gravel, Dominique (author); Tylianakis, Jason M (author); Aizen, Marcelo A (author); Dickie, Ian A (author); Bernard-Verdier, Maud (author)
Publication Date: 2016
Open Access: Yes
DOI: 10.1111/1365-2435.12666Open Access Link
Handle Link: https://hdl.handle.net/1959.11/19776
Abstract: 1. Species interactions, ranging from antagonisms to mutualisms, form the architecture of bio- diversity and determine ecosystem functioning. Understanding the rules responsible for who interacts with whom, as well as the functional consequences of these interspecific interactions, is central to predict community dynamics and stability. 2. Species traits 'sensu lato' may affect different ecological processes by determining species interactions through a two-step process. First, ecological and life-history traits govern species distributions and abundance, and hence determine species co-occurrence and the potential for species to interact. Secondly, morphological or physiological traits between co-occurring potential interaction partners should match for the realization of an interaction. Here, we review recent advances on predicting interactions from species co-occurrence and develop a probabilistic model for inferring trait matching. 3. The models proposed here integrate both neutral and trait-matching constraints, while using only information about known interactions, thereby overcoming problems originating from undersampling of rare interactions (i.e. missing links). They can easily accommodate qualitative or quantitative data and can incorporate trait variation within species, such as values that vary along developmental stages or environmental gradients. 4. We use three case studies to show that the proposed models can detect strong trait matching (e.g. predator - prey system), relaxed trait matching (e.g. herbivore - plant system) and barrier trait matching (e.g. plant - pollinator systems). 5. Only by elucidating which species traits are important in each process (i.e. in determining interaction establishment and frequency), we can advance in explaining how species interact and the consequences of these interactions for ecosystem functioning.
Publication Type: Journal Article
Source of Publication: Functional Ecology, 30(12), p. 1894-1903
Publisher: Wiley-Blackwell Publishing Ltd
Place of Publication: United Kingdom
ISSN: 1365-2435
0269-8463
Fields of Research (FoR) 2008: 060202 Community Ecology (excl. Invasive Species Ecology)
Fields of Research (FoR) 2020: 310302 Community ecology (excl. invasive species ecology)
Socio-Economic Objective (SEO) 2008: 960804 Farmland, Arable Cropland and Permanent Cropland Flora, Fauna and Biodiversity
960805 Flora, Fauna and Biodiversity at Regional or Larger Scales
960806 Forest and Woodlands Flora, Fauna and Biodiversity
Socio-Economic Objective (SEO) 2020: 180606 Terrestrial biodiversity
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article

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