Is community ecology a thing?

I was talking with a friend about a conversation they had, where someone questioned the fact that “community ecology” was a field/concept/thing. My own opinion of this, as a sometimes self-described community ecologist, is obviously “yes it is”. But let’s entertain the idea that it is not, and justify its existence.

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Julia in ecology: why multiple dispatch is good

In what is going to be the most technical note so far, I will try to reflect on a few years of using the Julia programming language for computational ecology projects. In particular, I will discuss how multiple dispatch changed my life (for the better), and how it can be used to make ecological analyses streamlined. I will most likely add a few entries to this series during the fall, leading up to a class I will give in the winter.

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Responding to reviewers, part 1

One of the thing that made publishing easier for me was to learn how to reply to reviewer comments adequately. This can easily be overlooked, and yet understanding how it works and how to react makes a significant difference. A good response can make you skip a round of review, or can convince the editor to not reject the paper in the reviewers have strong criticisms. Everything that follows is what worked for me, and it might not work for you, and you may want to approach the problem differently. Feel free to discuss in the comments.

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Science Bioblitz, data quality, and crowd-sourcing

Thanks to support from the Canadian Wildlife Federation, the Québec Centre for Biodiversity Sciences, and the Federation of Students Associations at the Université de Montréal, we have organized a science bioblitz at the Laurentians biology field station, operated by the Université de Montréal. Now that a good fraction of the data are online, I wanted to have a look at the results.

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We can’t see the forest for the bird.

A little while ago, I gave a talk about the promises and challenges of high performance computing for biodiversity sciences. Because I wanted to go beyond “having more cores means we can run more model replicates”, I started by discussing the availability of data on Canadian’s biodiversity, and how we can do data-driven research. Long story short, unless we like birds, we can’t.

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