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Dissimilarity of species interaction networks: quantifying the effect of turnover and rewiringuse asterix (*) to get italics
Timothée PoisotPlease 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"
2022
<p style="text-align: justify;">Despite having established its usefulness in the last ten years, the decomposition of ecological networks in components allowing to measure their β-diversity retains some methodological ambiguities. Notably, how to quantify the relative effect of mechanisms tied to interaction rewiring vs. species turnover has been interpreted differently by different authors. In this contribution, I present mathematical arguments and numerical experiments that should (i) establish that the decomposition of networks as it is currently done is indeed fit for purpose, and (ii) provide guidelines to interpret the values of the components tied to turnover and rewiring.</p>
You 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://
https://doi.org/10.17605/OSF.IO/Y8PJDYou should fill this box only if you chose 'Scripts were used to obtain or analyze the results'. URL must start with http:// or https://
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ecological networks, beta diversity, dissimilarity, rewiring, turnover
NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).
Biodiversity, Interaction networks, Theoretical ecology
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
e.g. John Doe john@doe.com
2021-07-31 00:18:41
François Munoz