PCI Ecology

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Title *

The inherent multidimensionality of temporal variability: How common and rare species shape stability patternsuse asterix (*) to get italics

Authors *

Jean-François Arnoldi, Michel Loreau, Bart HaegemanPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"

Year *

2019

Picture *

Abstract *

<p>Empirical knowledge of ecosystem stability and diversity-stability relationships is mostly based on the analysis of temporal variability of population and ecosystem properties. Variability, however, often depends on external factors that act as disturbances, making it difficult to compare its value across systems and relate it to other stability concepts. Here we show how variability, when viewed as a response to stochastic perturbations, can reveal inherent stability properties of ecological communities, with clear connections with other stability notions. This requires abandoning one-dimensional representations, in which a single variability measurement is taken as a proxy for how stable a system is, and instead consider the whole set of variability values associated to a given community, reflecting the whole set of perturbations that can generate variability. Against the vertiginous dimensionality of the perturbation set, we show that a generic variability-abundance pattern emerges from community assembly, which relates variability to the abundance of perturbed species. As a consequence, the response to stochastic immigration is governed by rare species while common species drive the response to environmental perturbations. In particular, the contrasting contributions of different species abundance classes can lead to opposite diversity-stability patterns, which can be understood from basic statistics of the abundance distribution. Our work shows that a multidimensional perspective on variability allows one to better appreciate the dynamical richness of ecological systems and the underlying meaning of their stability patterns</p>

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https://doi.org/10.1101/431296You should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://

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Indicate the full web address (DOI, SWHID or URL) giving public access to these codes (if you have any problems with the deposit of your codes, please contact contact@ecology.peercommunityin.org). In case all raw codes are included in the preprint, indicate the DOI or URL of the preprint. *

https://www.biorxiv.org/content/10.1101/431296v4.supplementary-materialYou should fill this box only if you chose 'Codes have been used in this study'. URL must start with http:// or https://

Keywords (optional)

diversity-stability relationship, immigration stochasticity, demographic stochasticity, environmental stochasticity, rare species, common species, asymptotic resilience.

Methods that require specific expertise (optional)

NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).

Thematic fields *

Biodiversity, Coexistence, Community ecology, Competition, Interaction networks, Theoretical ecology

Suggested reviewers - Suggest up to 10 reviewers (provide names and Email addresses). (Optional)

e.g. John Doe john@doe.com

No need for them to be recommenders of PCIEcology. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct

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Submission date

2018-10-02 14:01:03

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Kevin Cazelles

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