CAZELLES Kevin
- 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
- recommender
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  | 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... |
2 reviews
2019-05-27  | 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... |
2019-01-10  | 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? |