CAZELLES Kevin

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  • Integrative Biology, University of Guelph, Guelph, Canada
  • Biodiversity, Biogeography, Climate change, Coexistence, Community ecology, Food webs, Macroecology, Meta-analyses, Spatial ecology, Metacommunities & Metapopulations, Species distributions, Statistical ecology
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I regard myself as a theoretician/data scientist motivated by a strong desire to apply the results of abstract investigations to tangible challenges such as the impact of land-use change on ecological networks.

During my PhD, I investigated the relationship between biotic interactions and species co-occurrence. Species's range limits are indeed not only affected by abiotic factors (such as precipitations and temperature), but they also are determined by the biological context. Although this was first suggested years ago, researchers are still struggling to find adequate approaches that appropriately include all of these factors which are key towards accurate predictions of tomorrow's biodiversity. I have found some promising research avenues to elucidate the conditions under which biotic factors cannot be neglected to predict species' distribution. In the post-doctoral project I have started in June of 2017, I am striving to apply the results of my PhD on the fish communities of the Ontario's lakes.

1 recommendation

2019-04-01
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The inherent multidimensionality of temporal variability: How common and rare species shape stability patterns
Jean-François Arnoldi, Michel Loreau, Bart Haegeman
10.1101/431296

Recommended by Kevin Cazelles and Kevin Shear McCann based on reviews by Frederic Barraquand and 1 anonymous reviewer
Diversity-Stability and the Structure of Perturbations

In his 1972 paper “Will a Large Complex System Be Stable?” [1], May challenges the idea that large communities are more stable than small ones. This was the beginning of a fundamental debate that still structures an entire research area in ecology: the diversity-stability debate [2]. The most salient strength of May’s work was to use a mathematical argument to refute an idea based on the observations that simple communities are less stable than large ones. Using the formalism of dynamical...

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2 reviews

2019-05-27
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Community size affects the signals of ecological drift and selection on biodiversity
Tadeu Siqueira, Victor S. Saito, Luis M. Bini, Adriano S. Melo, Danielle K. Petsch, Victor L. Landeiro, Kimmo T. Tolonen, Jenny Jyrkänkallio-Mikkola, Janne Soininen, Jani Heino
10.1101/515098

Recommended by Eric Harvey based on reviews by Romain Bertrand and Kevin Cazelles
Toward an empirical synthesis on the niche versus stochastic debate

As far back as Clements [1] and Gleason [2], the historical schism between deterministic and stochastic perspectives has divided ecologists. Deterministic theories tend to emphasize niche-based processes such as environmental filtering and species interactions as the main drivers of species distribution in nature, while stochastic theories mainly focus on chance colonization, random extinctions and ecological drift [3]. Although the old days when ecologists were fighting fiercely over null model...

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2019-01-10
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Inferring macro-ecological patterns from local species' occurrences
Anna Tovo, Marco Formentin, Samir Suweis, Samuele Stivanello, Sandro Azaele, Amos Maritan
10.1101/387456

Recommended by Matthieu Barbier based on reviews by Kevin Cazelles and 1 anonymous reviewer
Upscaling the neighborhood: how to get species diversity, abundance and range distributions from local presence/absence data

How do you estimate the biodiversity of a whole community, or the distribution of abundances and ranges of its species, from presence/absence data in scattered samples?
It all starts with the collector's dilemma: if you double the number of samples, you will not get double the number of species, since you will find many of the same common species, and only a few new rare ones.
This non-additivity has prompted many ecologists to study the Species-Area Relationship. A common theoretical appr...

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