Statistical and quantitative methods within ecology have increased substantially in recent years. This rise can be attributed both to the growing need to address global environmental change issues, as well as the increase in data sources to address these challenges. Continue reading →
Happy New Year! We hope that you all had a wonderful Winter Break and that you’re ready to start 2018. We’re beginning the year with a look back at some of our highlights of 2017. Here’s how last year looked at Methods in Ecology and Evolution.
We published some amazing articles in 2017, too many to mention them all here. However, we would like to take a moment to thank all of the Authors, Reviewers and Editors who contributed to the journal last year. Your time and effort make the journal what it is and we are incredibly grateful. THANK YOU for all of your hard work!
Technological Advances at the Interface between Ecology and Statistics
Our first Special Feature of the year came in the April issue of the journal. The idea forTechnological Advances at the Interface between Ecology and Statistics came from the 2015 Eco-Stats Symposium at the University of New South Wales and the feature was guest edited by Associate Editor David Warton. It consists of five articles based on talks from that conference and shows how interdisciplinary collaboration help to solve problems around estimating biodiversity and how it changes over space and time.
Evolutionary quantitative genetics provides formal theoretical frameworks for quantitatively linking natural selection, genetic variation, and the rate and direction of adaptive evolution. This strong theoretical foundation has been key to guiding empirical work for a long time. For example, rather than generally understanding selection to be merely an association of traits and fitness in some general way, theory tells us that specific quantities, such as the change in mean phenotype within generations (the selection differential; Lush 1937), or the partial regressions of relative fitness on traits (direct selection gradients; Lande 1979, Lande and Arnold 1983) will relate to genetic variation and evolution in specific, informative ways.
These specific examples highlight the importance of the theoretical foundation of evolutionary quantitative genetics for informing the study of natural selection. However, this foundation also supports the study other critical (quantification of genetic variation and evolution) and complimentary (e.g., interpretation when environments, change, the role of plasticity and genetic variation in plasticity) aspectsof understanding the nuts and bolts of evolutionary change.Continue reading →
Today, we are pleased to be welcoming a new member of the Methods in Ecology and Evolution Associate Editor Board. Michael Morrissey joins us from the University of St Andrews in Scotland and you can find out a little more about him below.
“I am an evolutionary quantitative geneticist. I am interested in the selection, genetics, and evolutionary trajectories of traits in natural populations. I typically work at the interface of statistics, evolutionary theory, and empirical problems.”
Lots of exciting content has recently gone online.
Firstly, two interesting new applications (as always free): simapse, simulation maps for ecological niche modelling in Python and nadiv, an R package for estimating non-additive genetic variances in animal models.