Issue 6.6

Issue 6.6 is now online!

The June issue of Methods is now online!

This month’s issue contains one Applications article and one Open Access article.

VirtualCom: A simple and readily usable tool that will help to resolve theoretical and methodological issues in community ecology. VirtualCom simulates the evolution of the pool of regionally occurring species, the process-based assembly of native communities and the invasion of novel species into native communities. One of the authors of this Application is the 2014 Robert May Young Investigator Prize Winner, Laure Gallien.

Calibrating animal-borne proximity loggers, this month’s only Open Access article, comes from Christian Rutz et al. The authors calibrated a recently developed digital proximity-logging system (‘Encounternet’) for deployment on a wild population of New Caledonian crows. They show that, using signal-strength information only, it is possible to assign crow encounters reliably to predefined distance classes, enabling powerful analyses of social dynamics. Their study demonstrates that well-calibrated proximity-logging systems can be used to chart social associations of free-ranging animals over a range of biologically meaningful distances.

Our June issue also features articles on Phylogenetic MethodsPhysiological Ecology, Biomonitoring and Conservation, Species Distribution Monitoring and Bioinformatics. Continue reading “Issue 6.6”

In Defence of Satellite Data: The Perfect Companion to Ground-Based Research

Post provided by Dr Nathalie Pettorelli

Nathalie is an Institute Research Fellow at the Zoological Society of London. She heads the Environmental Monitoring and Conservation Modelling (EMCM) team and her main research involves assessing and predicting the impacts of global environmental change on biodiversity and ecosystem services. Nathalie was one of the presenters at the UK half of the Methods in Ecology and Evolution 5th Anniversary Symposium in April. You can watch her talk, ‘Harnessing the Potential of Satellite Remote Research’ here.

If there is one question I hear over and over again, it’s this: “why, oh why, do you use satellite data instead of ground-based data in your research?” People seem to think that I believe satellite data are better than ground-based data. Do I not value fieldwork? Do I not trust ground-based data? My answer to all of this is: you’ll never catch me preaching that satellite remote sensing can solve the entire data collection gap in ecological monitoring.

I use satellite data because a lot of my work happens at relatively large spatial and temporal scales, targets regions where ground-based data are simply unavailable or extremely difficult to gather and relies on being able to access data that have been collected in a systematic and scalable manner.

Yes, satellite-based techniques can address spatial and temporal domains inaccessible to traditional, on-the-ground, approaches, but I am the first to acknowledge that satellite remote sensing cannot match the accuracy, precision and thematic richness of in-situ measurement and monitoring.

©Clare Duncan
The New Generation of Ecologists in Action: Clare Duncan conducting field measurements in the Philippines to be combined with satellite remote sensing information to monitor ecosystem services delivery. ©Clare Duncan

In spite of this, data collected on the ground are currently difficult to use for mapping and predicting regional or global changes in the spatio-temporal distribution of biodiversity (a problem for those of us trying to tackle these kinds of issues). Ground-based data can also be expensive and tend to come from a single annual time period. This makes it difficult to gather information on temporal changes and phenology. Continue reading “In Defence of Satellite Data: The Perfect Companion to Ground-Based Research”

Ten Top Tips for Reviewing Statistics: A Guide for Ecologists

post provided by Dr Mark Brewer.

Mark is a statistician with Biomathematics & Statistics Scotland, based in Aberdeen. His main statistical research interests are Species Distribution Modelling, Compositional Data Analysis, Bayesian Mixture Modelling and Bayesian Ordinal Regression. Mark was one of the presenters at the UK half of the Methods in Ecology and Evolution 5th Anniversary Symposium in April. You can watch his talk, ‘Model Selection and the Cult of AIC’ here.

The level of statistical analysis in ecology journals is far higher than in most other disciplines. Ecological journals lead the way in the development of statistical methodology, necessitated by challenging practical problems involving complex data sets. As a statistician, publishing also in hydrology, soil science, social science and forensic science journals, I’ve found papers in those areas are much more likely to only use well-established methods than papers in ecology.

Here’s the big question though: why then do I have the most difficulty with ecological journals when it comes to statistical analyses? Let’s be clear here: when I say “difficulty”, I mean I receive reviews which are just plain wrong. Most statisticians I’ve spoken to who work in ecology have anecdotes from reviews which demonstrate a lack of understanding by the non-statistician reviewer (including the all-too-frequent “perhaps you should consult a statistician”). So, why the apparent disconnect?

The difference seems to be in how non-statisticians in different disciplines treat the statistics in a paper. In many subject areas, reviewers are almost deferential to the statistical analysis; in ecology, reviewers can be forthright in their condemnation, often without justification. Reviewers have every right to question the statistical analysis in a paper, but the authors have the exact same right to expect a high quality review from a genuine expert in the field. Has ecology become blasé about statistics? Continue reading “Ten Top Tips for Reviewing Statistics: A Guide for Ecologists”

Issue 6.5

Issue 6.5 is now online!

The May issue of Methods is now online!

We have two freely available articles this month: one Application and one Open Access Article.

rSPACE: An open-source R package for implementing a spatially based power analysis for designing monitoring programs. This method incorporates information on species biology and habitat to parameterize a spatially explicit population simulation.

Tim Lucas et al. provide this month’s Open Access article: A generalised random encounter model for estimating animal density with remote sensor data. The authors have developed a Generalised Random Encounter Model (gREM) to estimate absolute animal density from count data from both camera traps and acoustic detectors. They show that gREM produces accurate estimates of absolute animal density for all combinations of sensor detection widths and animal signal widths. This model is applicable for count data obtained in both marine and terrestrial environments, visually or acoustically. It could be used for big cats, sharks, birds, echolocating bats, cetaceans and much more. Continue reading “Issue 6.5”

Issue 6.4: Opportunities at the Interface Between Ecology and Statistics

Issue 6.4 is now online!

© Chun-Huo Chiu and Ching-Wen Cheng

The April issue of Methods, which includes our latest Special Feature: “Opportunities at the Interface Between Ecology and Statistics” is now online!

Opportunities ar the Interface Between Ecology and Statistics is a collection of eight articles which arose from the Eco-Stats Symposium at the University of New South Wales (Australia) in July 2013.This Symposium was designed to be a collaborative forum for researchers with interests in ecology and statistics. It brought together internationally recognised leaders in these two fields (such as Jane Elith, Trevor Hastie, Anne Chao and Shirley Pledger) – many of whom have contributed articles to this Special Feature.

The Eco-Stats Symposium was arranged around five special topics, all of which are represented in this issue of Methods. Those five topics are:

In his Editorial for the Special Feature, Guest Editor David Warton suggests that one of the reasons for the success of Methods in Ecology and Evolution may be that it provides a forum for statisticians and ecologists to interact. The articles in this issue, and the conference that gave rise to them, show that these interactions can provide significant benefits for both groups.

There will be another Eco-Stats Symposium at the University of New South Wales in December of this year (8-10 December, 2015).
For more details on this, please click here.
Continue reading “Issue 6.4: Opportunities at the Interface Between Ecology and Statistics”

Associate Editor Profile: LOUISE JOHNSON

Dr Louise Johnson, a population geneticist working on the evolution of genetic systems, has been an Associate Editor for Methods in Ecology and Evolution since October 2013. In that time she has handled a range of manuscripts falling within her areas of expertise (primarily molecular evolution, population genetics and genomes).

Louise Johnson
Dr Louise Johnson

Louise began her academic career with a degree in Genetics at the University of Edinburgh. She then moved south to complete her PhD on the evolution of mating systems in yeast at Imperial College London under the supervision of Professor Austin Burt. Following her successful time in London, she took up post-doctorate positions at the University of Nottingham (working on transposable elements with Professor John Brookfield) and across the Atlantic at the University of Virginia (looking at genome defences with Professor Janis Antonovics and Professor Michael Hood). Louise returned to the UK in 2006 to take up an RCUK Fellowship at the University of Reading and has been there ever since.

As part of our series of Editor Profiles, we asked Louise to tell us about some of her current research:

There are three projects which I am currently working on that I would like to outline. I’ll be discussing the cancer project – or at least the story so far – at the Methods in Ecology and Evolution 5th Anniversary Symposium later this month. Do check out the programme, and I hope to see you there! The whole point of a methods journal is to help each other do our research as well and easily as possible, so there’s a built-in community spirit about MEE, which bodes well for a fun and useful meeting. Before I start I should also say that I’m lucky to have amazing collaborators at Reading and beyond: for the projects below, credit is particularly due to my colleagues Rob Jackson and Tiffany Taylor, who had a huge input, and to Mike Brockhurst at York. Continue reading “Associate Editor Profile: LOUISE JOHNSON”

Towards a More Reproducible Ecology

The following post has been provided by Dr Nick Isaac.

Nick is organising the OpenData and Reproducibility Workshop at Charles Darwin House, London on 21 April 2015 (more information below). He is also an Associate Editor for Methods in Ecology and Evolution.

Macro_finalThe open science movement has been a major force for change in how research is conducted and communicated. Reproducibility lies at the heart of the open science agenda. It’s a broad topic, covering how data are shared, interpreted and reported.

Reproducibility has been advanced by a coalition of publishers (who have been embarrassed by a series of high-profile retractions), funding agencies keen that data should be re-useable after the life of a grant, and young researchers taking a more collaborative attitude than previous generations.

There is now a vast range of tools and platforms to help scientists share data and other materials (e.g. Dryad, Github, Figshare) and to create efficient and reproducible workflows (e.g. Sweave, Markdown, Git and, of course, R). There’s even a MOOC (Massive Open Online Course) in Reproducible Research, run out of Johns Hopkins University.

Ecology has lagged behind wet-lab biology and other disciplines in the adoption of reproducibility concepts and there are few examples of ecological studies that are truly reproducible. To address this, we’re running a one-day workshop at Charles Darwin House, London on Tuesday 21 April entitled OpenData & Reproducibility Workshop: the Good Scientist in the Open Science era. Continue reading “Towards a More Reproducible Ecology”

Issue 6.3

Issue 6.3 is now online!

The March issue of Methods is now online!

We have three freely available Applications articles in this issue. Anyone can access these with no subscription required and no charge to download.

TR8: This R package was built to provide plant scientists with a simple tool for retrieving plant functional traits from freely accessible online traitbases.

StereoMorph: A new R package for the rapid and accurate collection of 3D landmarks and curves using two standard digital cameras.

MotionMeerkat: A new standalone program that identifies motion events from a video stream. This tool reduces the time needed to review videos and accommodates a variety of inputs.

This month we have a total of FIVE Open Access articles. That makes eight articles in this issue of Methods in Ecology and Evolution that you can read for free!

Continue reading “Issue 6.3”

Our 5th Anniversary Symposium

Charles Darwin House, London, UK: 10:00 – 18:00 (GMT) Alberta Room, Dining Centre, University of Calgary, Canada: 08:30 – 17:00 (MST) 22 April 2015 Methods in Ecology and Evolution, the British Ecological Society’s youngest journal, turns five this year. To celebrate we will be holding a joint Symposium – beginning in the UK and concluding in Canada. We will be hearing what’s in store for … Continue reading Our 5th Anniversary Symposium

Flawed Method puts Tiger Rise in Doubt

The following is a press release about the Methods paper ‘An examination of index-calibration experiments: counting tigers at macroecological scales‘ taken from the University of Oxford News and Events page:

Flaws in a method commonly used in censuses of tigers and other rare wildlife put the accuracy of such surveys in doubt, a new study suggests.

A team of scientists from theNH_QT_K2934024 University of Oxford, Indian Statistical Institute, and Wildlife Conservation Society exposes, for the first time, inherent shortcomings in the ‘index-calibration’ method that means it can produce inaccurate results. Amongst recent studies thought to be based on this method is India’s national tiger survey (January 2015) which claimed a surprising but welcome 30 percent rise in tiger numbers in just four years.

The team urges conservation practitioners to guard against these sources of error, which could mislead even the best conservation efforts, and suggests a constructive way forward using alternative methods of counting rare animals that avoid the pitfalls of the index-calibration approach.

A report of the research is published this week in the journal Methods in Ecology and Evolution.

Continue reading “Flawed Method puts Tiger Rise in Doubt”