Virtually Trekking Across the Pond with the Newest Senior Editor: Aaron M. Ellison

Post Provided by Aaron Ellison

I’m delighted to be the newest member of the diverse team of Senior and Associate Editors who have made Methods in Ecology and Evolution one of the premier journals in the field. After 15 years working on the lead editorial teams of Ecology and Ecological Monographs, I’m really looking forward to applying my editorial energies to the ESA’s friendly competitor on the other side of the ‘pond’.

My background includes:

  • an undergraduate degree in East Asian Philosophy
  • a PhD in evolutionary ecology
  • research and teaching on the natural history and population, community, and landscape ecology of plants and animals (mostly invertebrates) in the marine intertidal and subtidal, among salt marshes and mangroves, tropical and temperate forests, and carnivorous plant bogs
  • extensive forays into statistics, mathematics, and software engineering
  • increasing attention to the history and practice of art and architecture and their relationship to ecological theory
  • a quirky social-media persona
  • and more than two decades of work in editing and publishing journals with scientific societies.

All of these things contribute to my open, catholic approach to scientific research, teaching, and publishing, and their relationship to the broader world.

The editors of Methods are always interested in seeing papers on methodological advances and approaches that lead to new directions. We love reading about creative solutions for new challenges in ecological and evolutionary research and applications in the broadest sense. As a new Senior Editor, I’m especially hoping to encourage more papers in three areas: field methods (about which I’ve published two of my own papers in Methods), reproducibility, and science communication. Continue reading

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2017 Robert May Prize Winner: Jonathan Henshaw

The Robert May Prize is awarded annually for the best paper published in Methods in Ecology and Evolution by an Early Career Researcher. We’re delighted to announce that the 2017 winner is Jonathan Henshaw, for his article ‘A unified measure of linear and nonlinear selection on quantitative traits.

The standard approach to quantifying natural selection, developed by Lande and Arnold, does not allow for comparable metrics between linear (i.e. selection on the mean phenotype) and nonlinear (i.e. selection on all other aspects of the phenotypic distribution, including variance and the number of modes) selection gradients. Jonathan Henshaw’s winning submission provides the first integrated measure of the strength of selection that applies across qualitatively different selection regimes (e.g. directional, stabilizing or disruptive selection). Continue reading

Who to Trust? The IDEA Protocol for Structured Expert Elicitation

Post provided by Victoria Hemming and Mark Burgman

Expert judgement is used to predict current and future trends for Koala populations across Australia

Expert judgement is used to predict current and future trends for Koala populations across Australia

New technologies provide ecologists with unprecedented means for informing predictions and decisions under uncertainty. From drones and apps that capture data faster and cheaper than ever before, to new methods for modelling, mapping and sharing data.

But what do you do when you don’t have data (or the data you have is incomplete or uninformative), but decisions need to be made?

In ecology, decisions often need to be made with imperfect or incomplete data. In these circumstances, expert judgement is relied upon routinely. Some examples include threatened species listing decisions, weighing up the cost and benefit of management actions, and environmental impact assessments.

We use experts to answer questions such as:

These are questions about facts in the form of quantities and probabilities for which we simply can’t collect the data. Continue reading

Resolving Conservation Conflicts: The Nominal Group Technique

Post provided by Jean Hugé

Conservation conflicts are actually conflicts among people with different priorities and values

Conservation conflicts are actually conflicts among people with different priorities.

Conservation issues seem to be getting ever more complex and challenging. Practitioners and society at large agree on the need to gather – and somehow use – as much information as possible before making any conservation-related decisions. Talking to all kinds of people, ranging from local villagers, fishermen and hunters to international experts, community leaders and environmentalists, is now common practice in conservation research. Not everyone will agree on the eventual conservation decisions, but the idea is that decisions should only be made after (almost) everyone’s opinion has been heard.

So far so good. The calls for inclusive conservation are being acknowledged, and we should be ready to move on and make better decisions, right? Well, it’s not always that easy. Conservation conflicts are actually conflicts among people with different priorities and values. Just calling for dialogue and hoping that consensus and effective conservation action will just follow isn’t enough. Continue reading

Issue 9.2

Issue 9.2 is now online!

The February issue of Methods is now online!

This double-size issue contains six Applications articles (one of which is Open Access) and two Open Access research articles. These eight papers are freely available to everyone, no subscription required.

 Temperature Manipulation: Welshofer et al. present a modified International Tundra Experiment (ITEX) chamber design for year-round outdoor use in warming taller-stature plant communities up to 1.5 m tall.This design is a valuable tool for examining the effects of in situ warming on understudied taller-stature plant communities

 ZoonThe disjointed nature of the current species distribution modelling (SDM) research environment hinders evaluation of new methods, synthesis of current knowledge and the dissemination of new methods to SDM users. The zoon R package aims to overcome these problems by providing a modular framework for constructing reproducible SDM workflows.

 BEIN R Package: The Botanical Information and Ecology Network (BIEN) database comprises an unprecedented wealth of cleaned and standardised botanical data. The bien r package allows users to access the multiple types of data in the BIEN database. This represents a significant achievement in biological data integration, cleaning and standardisation.

Continue reading

Issue 9.1: Qualitative Methods for Eliciting Judgements for Decision Making

Issue 9.1 is now online!

Our first issue of 2018, which includes our latest Special Feature – “Qualitative methods for eliciting judgements for decision making” – is now online!

This new Special Feature is a collection of five articles (plus an Editorial from Guest Editors Bill Sutherland, Lynn Dicks, Mark Everard and Davide Geneletti) brings together authors from a range of disciplines (including ecology, human geography, political science, land economy and management) to examine a set of qualitative techniques used in conservation research. They highlight a worrying extent of poor justification and inadequate reporting of qualitative methods in the conservation literature.

As stated by the Guest Editors in their Editorial “these articles constitute a useful resource to facilitate selection and use of some common qualitative methods in conservation science. They provide a guide for inter-disciplinary researchers to gauge the suitability of each technique to their research questions, and serve as a series of checklists for journal editors and reviewers to determine appropriate reporting.”

All of the articles in the ‘Qualitative methods for eliciting judgements for decision making‘  Special Feature are all freely available.
Continue reading

Satellite Data Fusion for Ecologists and Conservation Scientists

What is satellite data fusion, and how can it benefit ecologists and conservation scientists? In a new Methods in Ecology and Evolution video, Henrike Schulte-to-Bühne answers this question using whiteboards and questionable drawing skills.

The availability and accessibility of multispectral and radar satellite remote sensing (SRS) imagery are at an unprecedented high. However, despite the benefits of combining multispectral and radar SRS data, data fusion techniques, including image fusion, are not commonly used in biodiversity monitoring, ecology and conservation. To address this, the authors provide an overview of the most common SRS data fusion techniques, discussing their benefits and drawbacks, and pull together case studies illustrating the added value for biodiversity research and monitoring.

This video is based on the review article ‘Better together: Integrating and fusing multispectral and radar satellite imagery to inform biodiversity monitoring, ecological research and conservation science by Schulte to Bühne and Pettorelli.

Methods in Ecology and Evolution 2017: The Year in Review

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.

The Articles

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 for Technological 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.

Continue reading

Making YOUR Code Reproducible: Tips and Tricks

When we were putting together the British Ecological Society’s Guide to Reproducible Code we asked the community to send us their advice on how to make code reproducible. We got a lot of excellent responses and we tried to fit as many as we could into the Guide. Unfortunately, we ran out of space and there were a few that we couldn’t include.

Luckily, we have a blog where we can post all of those tips and tricks so that you don’t miss out. A massive thanks to everyone who contributed their tips and tricks for making code reproducible – we really appreciate it. Without further ado, here’s the advice that we were sent about making code reproducible that we couldn’t squeeze into the Guide:

Organising Code

©Leejiah Dorward

“Don’t overwrite data files. If data files change, create a new file. At the top of an analysis file define paths to all data files (even if they are not read in until later in the script).” – Tim Lucas, University of Oxford

“Keep one copy of all code files, and keep this copy under revision management.” – April Wright, Iowa State University

“Learn how to write simple functions – they save your ctrl c & v keys from getting worn out.” – Bob O’Hara, NTNU

For complex figures, it can make sense to pre-compute the items to be plotted as its own intermediate output data structure. The code to do the calculation then only needs to be adjusted if an analysis changes, while the things to be plotted can be reused any number of times while you tweak how the figure looks.” – Hao Ye, UC San Diego Continue reading

A Guide to Reproducible Code in Ecology and Evolution

Post provided by Natalie Cooper and Pen-Yuan Hsing

Cover image by David J. Bird

The way we do science is changing — data are getting bigger, analyses are getting more complex, and governments, funding agencies and the scientific method itself demand more transparency and accountability in research. One way to deal with these changes is to make our research more reproducible, especially our code.

Although most of us now write code to perform our analyses, it’s often not very reproducible. We’ve all come back to a piece of work we haven’t looked at for a while and had no idea what our code was doing or which of the many “final_analysis” scripts truly was the final analysis! Unfortunately, the number of tools for reproducibility and all the jargon can leave new users feeling overwhelmed, with no idea how to start making their code more reproducible. So, we’ve put together the Guide to Reproducible Code in Ecology and Evolution to help. Continue reading