This month’s issue contains three Applications articles and two Open Access articles, all of which are freely available.
– CODYN: New analytical tools applied to long-term data demonstrate that ecological communities are highly dynamic over time. The R package, library(“codyn”), helps ecologists implement these tools and gain insi–ghts into ecological community dynamics.
– Geometric Morphometrics: A tool for the R statistical environment that optimises the smoothing procedure for 3D surfaces used in Geometric Morphometrics.
– TRAPPER: Open source, multi-user software that facilitates analysis of videos and images, provides spatial filtering and web-mapping, allows flexible implementation of specific data collection protocols, and supports data re-use and (re)discovery.
This week is Peer Review Week, the slightly more popular academic celebration than pier review week. Peer review is an essential part of scientific publication and is – like Churchill’s democracy – the worst system to do it. Except for all of the others. The reason it’s imperfect is mainly that it’s done by people, so there is a natural desire to try to improve it.
One suggestion for improvement is to us double blind reviews. At the moment most journals (including Methods in Ecology and Evolution) use single blind reviewing, where the author isn’t told the identity of the reviewers. The obvious question is whether double blind reviewing does actually improve reviews: does it reduce bias, or improve quality? There have been several studies in several disciplines which have looked at this and related questions. After having looked at them, my summary is that double blind reviewing is fairly popular, but makes little or no difference to the quality of the reviews, and reviewers can often identify the authors of the papers.
For many academics, especially Early Career Researchers, writing a review can seem like quite a daunting task. Direct training is often hard to come by and not all senior academics have the time to act as mentors. As this week is Peer Review Week, we wanted to provide some advice on what makes a good review and what makes a bad review. This advice has been kindly provided by the Methods in Ecology and Evolution Associate Editors – all of whom are authors and reviewers as well.
The BES Guide to Peer Review in Ecology and Evolution
Before we dive into the tips from our Editors though, we want to highlight one of the best resources for anyone looking for peer review guidance – the BES Guide to Peer Review in Ecology and Evolution. This booklet is intended as a guide for Early Career Researchers, who have little or no experience of reviewing journal articles but are interested in learning more about what is involved. It provides a succinct overview of the many aspects of reviewing, from hands-on practical advice about the actual review process to explaining less tangible aspects, such as reviewer ethics. You can get the PDF version of the guide (and the other BES guides) for free on the BES website. Continue reading “What Makes a Good Peer Review: Peer Review Week”
As many of you will already know, this week is Peer Review Week (19-25 September). Peer Review Week is a global event celebrating the vital work that is done by reviewers in all disciplines. To mark the week, we will be having a series of blog posts about peer review. The theme for this year’s Peer Review Week is recognition for review and we’re starting … Continue reading Thank You to All of Our Reviewers: Peer Review Week 2016
– ctmm: An R package which implements all of the continuous-time stochastic processes currently in use in the ecological literature and couples them with powerful statistical methods for autocorrelated data adapted from geostatistics and signal processing.
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.
Michael Morrissey
“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.”
This month’s issue contains two Applications articles and two Open Access articles, all of which are freely available.
– Plant-O-Matic: A free iOS application that combines the species distribution models with the location services built into a mobile device to provide users with a list of all plant species expected to occur in the 100 × 100 km geographic grid cell corresponding to the user’s location.
– RClone: An R package built upon genclone software which includes functions to handle clonal data sets, allowing:
Checking for data set reliability to discriminate multilocus genotypes (MLGs)
Ascertainment of MLG and semi-automatic determination of clonal lineages (MLL)
Genotypic richness and evenness indices calculation based on MLGs or MLLs
Describing several spatial components of clonality
This month’s issue contains two Applications articles and two Open Access articles, all of which are freely available.
– MO-Phylogenetics: A software tool to infer phylogenetic trees optimising two reconstruction criteria simultaneously and integrating a framework for multi-objective optimisation with two phylogenetic software packages.
– PHYLOMETRICS: An efficient algorithm to construct the null distributions (by generating phylogenies under a trait state-dependent speciation and extinction model) and a pipeline for estimating the false-positive rate and the statistical power of tests on phylogenetic metrics..
Our 5th Anniversary Special Feature is a collection of six articles (plus an Editorial from Executive Editor Rob Freckleton) that highlights the breadth and depth of topics covered by the journal so far. It grew out of our 5th Anniversary Symposium – a joint event held in London, UK and Calgary, Canada and live-streamed around the world in April 2015 – and contains papers by Associate Editors, a former Robert May prize winner and regular contributors to the journal.
The six articles are based on talks given at last May’s Symposium. They focus on:
In his Editorial for the Special Feature, Rob Freckleton looks to the future. In his words: “we hope to continue to publish a wide range of papers on as diverse a range of topics as possible, exemplified by the diversity of the papers in this feature”.
If you are attending Evolution, as well as attending the fabulous talks mentioned by Hélène below, do stop by booth 125 to see our BES colleague Simon Hoggart. Simon is the Assistant Editor of Journal of Animal Ecology and would be happy to answer your questions about any of our journals or any of the other work we do here at the BES.
RPANDA: a time machine for evolutionary biologists
Imagine “Doc”, Marty’s friend in Back to the Future, trying to travel back millions of years in an attempt to understand the history of life. Instead of building a time machine from a DeLorean sports car powered by plutonium, he could dig fossils, or more likely, he would use molecular phylogenies.
Molecular phylogenies are family trees of species that can be built from data collected today: the genes (molecules) of present-day species (Fig 1). They are often thought of as trees, in reference to Darwin’s tree of life. The leaves represent the present: species that can be found on Earth today. The branches represent the past: ancestral species, which from time to time split, giving rise to two independent species. The structure of the tree tells us which species descend from which ancestors, and when their divergence happened.
Fig 1: The phylogenetic tree of all birds (adapted from Jetz et al. 2012). Each bird order is represented by a single bird silloutter and a specific colour (the most abundant order of Passeriformes, for example is represented in dark orange). Each terminal leaf represents a present-day bird species, while internal branches represent the evolutionary relationships among these species.
The October issue of Methods is now online!
Methods Blog 