Journal ArticleDOI
Inferring biotic interactions from proxies
Ignacio Morales-Castilla,Ignacio Morales-Castilla,Miguel G. Matias,Miguel G. Matias,Miguel G. Matias,Dominique Gravel,Miguel B. Araújo,Miguel B. Araújo,Miguel B. Araújo +8 more
TLDR
This work proposes a conceptual framework to infer the backbone of biotic interaction networks within regional species pools, and concludes that preliminary descriptions of the web of life can be made by careful integration of data with theory.Abstract:
Inferring biotic interactions from functional, phylogenetic and geographical proxies remains one great challenge in ecology. We propose a conceptual framework to infer the backbone of biotic interaction networks within regional species pools. First, interacting groups are identified to order links and remove forbidden interactions between species. Second, additional links are removed by examination of the geographical context in which species co-occur. Third, hypotheses are proposed to establish interaction probabilities between species. We illustrate the framework using published food-webs in terrestrial and marine systems. We conclude that preliminary descriptions of the web of life can be made by careful integration of data with theory.read more
Citations
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How to make more out of community data? A conceptual framework and its implementation as models and software.
Otso Ovaskainen,Otso Ovaskainen,Gleb Tikhonov,Anna Norberg,F. Guillaume Blanchet,F. Guillaume Blanchet,Leo L. Duan,David B. Dunson,Tomas Roslin,Nerea Abrego,Nerea Abrego +10 more
TL;DR: HMSC is operationalise the HMSC framework as a hierarchical Bayesian joint species distribution model, and is implemented as R- and Matlab-packages which enable computationally efficient analyses of large data sets.
Journal ArticleDOI
So Many Variables: Joint Modeling in Community Ecology.
David I. Warton,F. Guillaume Blanchet,Robert B. O'Hara,Otso Ovaskainen,Otso Ovaskainen,Sara Taskinen,Steven C. Walker,Francis K. C. Hui +7 more
TL;DR: This work demonstrates the potential of a new class of multivariate models for ecology to specify a statistical model for abundances jointly across many taxa, to simultaneously explore interactions across taxa and the response of abundance to environmental variables, and discusses recent computation tools and future directions.
Journal ArticleDOI
Co-occurrence is not evidence of ecological interactions
TL;DR: A series of arguments based on probability, sampling, food web and coexistence theories supporting that significant spatial associations between species (or lack thereof) is a poor proxy for ecological interactions are presented.
Journal ArticleDOI
Lags in the response of mountain plant communities to climate change
James Alexander,James Alexander,Loïc Chalmandrier,Jonathan Lenoir,Treena I. Burgess,Franz Essl,Sylvia Haider,Christoph Kueffer,Keith L. McDougall,Ann Milbau,Martin A. Nuñez,Aníbal Pauchard,Wolfgang Rabitsch,Lisa J. Rew,Nathan J. Sanders,Nathan J. Sanders,Nathan J. Sanders,Loïc Pellissier +17 more
TL;DR: A mechanistic community model is developed to illustrate how species turnover in future communities might lag behind simple expectations based on species' range shifts with unlimited dispersal, and support the view that accounting for disequilibrium range dynamics will be essential for realistic forecasts of patterns of biodiversity under climate change.
Journal ArticleDOI
Species co-occurrence networks: Can they reveal trophic and non-trophic interactions in ecological communities?
Mara Freilich,Mara Freilich,Mara Freilich,Evie A. Wieters,Bernardo R. Broitman,Pablo A. Marquet,Sergio A. Navarrete +6 more
TL;DR: Co-occurrence networks provide information about the joint spatial effects of environmental conditions, recruitment, and, to some extent, biotic interactions, and among the latter, they tend to better detect niche-expanding positive non-trophic interactions.
References
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Book
Networks: An Introduction
TL;DR: This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.
Journal ArticleDOI
Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?
TL;DR: In this paper, a hierarchical modeling framework is proposed through which some of these limitations can be addressed within a broader, scale-dependent framework, and it is proposed that, although the complexity of the natural system presents fundamental limits to predictive modelling, the bioclimate envelope approach can provide a useful first approximation as to the potentially dramatic impact of climate change on biodiversity.
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Journal ArticleDOI
Let the concept of trait be functional
Cyrille Violle,Marie-Laure Navas,Denis Vile,Elena Kazakou,Claire Fortunel,Irène Hummel,Eric Garnier +6 more
TL;DR: An unambiguous definition of plant trait is given, with a particular emphasis on functional trait, and it is argued that this can be achieved by developing "integration functions" which can be grouped into functional response (community level) and effect (ecosystem level) algorithms.
Journal ArticleDOI
The merging of community ecology and phylogenetic biology
TL;DR: Several key areas are reviewed in which phylogenetic information helps to resolve long-standing controversies in community ecology, challenges previous assumptions, and opens new areas of investigation.
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