Issue 3.6

mee-3-6-coverlargeIssue 3.6 is now available online, encompassing a variety of articles on animal movement, communities, populations, surveys, and decision-making.

The Editors highlights include the application article Diversitree: comparative phylogenetic analyses of diversification in R byRichard G. FitzJohn, and the research article Projecting species’ range expansion dynamics: sources of systematic biases when scaling up patterns and processes by Greta Bocedi and colleagues.

There are 7 freely available application articles in this issue: GeoLight (processing and analysing light-based geolocator data in R), Treebase (an R package for discovery, access and manipulation of online phylogenies), SPACECAP (software for estimating animal density using spatially-explicit capture-recapture models), FlexParamCurve (an R package for flexible fitting of nonlinear parametric curves), Taxonstand (an R package for species names standardisation in vegetation databases), Diversitree (comparative phylogenetic analyses of diversification in R) and A Gibbs sampler for Bayesian analysis of site-occupancy data. You can view our full archive of freely available application articles here.

There are also 5 videos that accompany articles in this issue, hosted on the Methods website as well as our YouTube channel. There’s an Introduction and Tutorial video for the application FlexParamCurve, a video by John Fieberg on Understanding the causes and consequences of animal movement, a tutorial on how to run the Douglas Argos filter in Movebank, and a video on the application Diversitree, starring Mr Blueberry and Fairly-Small-Yellow-Bird.

About the cover: Networks of species interactions reflect ecologically important processes occurring at a range of timescales. Plant-pollinator interactions, for example, can be understood at very short time-scales corresponding to physical contacts, intermediate timescales reflecting seasonal or yearly associations, or long timescales reflecting co-evolutionary relationships. On this cover, for example, is a stingless bee, Tetragonisca jaty, interacting with a flower in Costa Rica. Understanding the different timescales in a system is necessary for correct inference using network methods. In ‘Temporal dynamics and network analysis‘, Blonder et al. synthesize recent developments in network theory that are important when studying systems that change over time.

To keep up to date with Methods newest content you can have a look at our Early View articles, which will be included in forthcoming issues, and our list of Accepted Articles, which will be available online soon.

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