Let’s get real: translating species distribution models into conservation practice

Post provided by Veronica F. Frans

Species distribution models (SDMs) are popular methods for identifying important habitats for species, but what does it take to translate SDMs into conservation practice? In this post, Veronica Frans discusses the applications of iSDMdb as featured in the paper, “Integrated SDM database: enhancing the relevance and utility of species distribution models in conservation management”, recently published in Methods in Ecology and Evolution.

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A new tool to identify important sites for conservation using tracking data

Post provided by Martin Beal, Steffen Oppel, Jonathan Handley, Richard Phillips, Paulo Catry, and Maria Dias.

Identifying areas around the world that can best contribute to the conservation of wild animals is a major challenge. Historically, this required conducting extensive surveys in the field, but with the advent of miniature tracking technology we can now follow animals and allow them to indicate which areas they depend on most. In this collaborative post, international researchers from ISPA – Instituto Universitário in Lisbon, the Royal Society for the Protection of Birds, BirdLife International, and British Antarctic Survey present a new conservation tool as outlined in the paper “track2KBA: An R package for identifying important sites for biodiversity from tracking data” recently published in Methods in Ecology and Evolution.    

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Smart genetic analysis made fast and easy

Post provided by: Salvador Herrando-Pérez

If you use genetics to differentiate populations, the new package smartsnp might be your new best friend. Written in R language and available from GitHub and CRAN, this package performs principal component analysis with control for genetic drift, projects ancient samples onto modern genetic space, and tests for population differences in genotypes. The package can load big datasets and run complex stats in the blink of an eye.

In this post, Salvador Herrando-Pérez discusses the features of this new package which is fully described in the new paper “smartsnp, an R package for fast multivariate analyses of big genomic data” recently published in Methods in Ecology & Evolution.

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A new evolutionary simulation R package sheds light on the metaphor of genomic islands of divergence

Robert May Prize Shortlisted Article

Post provided by Claudio S. Quilodrán and Ashley T. Sendell-Price

Nesting eggs of silvereyes (Zosterops lateralis). Heron Island, Australia. Picture: Erik Sandvik.

Each year Methods in Ecology and Evolution awards the Robert May Prize to the best paper in the journal by an author at the start of their career. Claudio S. Quilodrán has been shortlisted for his article ‘The multiple population genetic and demographic routes to islands of genomic divergence’. In this blog, Claudio and co-author Ashley T. Sendell-Price discuss how their paper came to be and how their individual‐based simulation can be used to explore the dynamics of diverging genomes.

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10th Anniversary Volume 10: Evidence synthesis technology and automating systematic reviews

Post provided by Eliza M. grames

To celebrate the 10th Anniversary of the launch of Methods in Ecology and Evolution, we are highlighting an article from each volume to feature on the Methods.blog. For Volume 10, we have selected ‘An automated approach to identifying search terms for systematic reviews using keyword co‐occurrence networks’ by Grames et al. (2019).

In this post, Eliza Grames shares the motivation behind the litsearchr search approach, and developments since the article’s publication.

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10th Anniversary Volume 3: paleotree: A Retrospective

Post provided by David bapst

To celebrate the 10th Anniversary of the launch of Methods in Ecology and Evolution, we are highlighting an article from each volume to feature on the Methods.blog. For Volume 3, we have selected ‘paleotree: an R package for paleontological and phylogenetic analyses of evolution‘ by David W. Bapst (2012). In this post, David discusses the background to the Application he wrote as a graduate student, and how the field has changed since.

I was a fourth year graduate student when I first had the idea to make an R package. Quite a few people thought it was a bit silly, or a bit of a time-waste, but I thought it was the right thing to do at the time, and I think it has proven to be the right decision in hindsight.

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MInOSSE: all you need to reconstruct past species geographic range is in the fossil record!

Post provided by Francesco Carotenuto

A very important ecological feature of a species is its geographic range, which can be described by its size, position and shape. Studying the geographic range can be useful to understand the ecological needs of a species and, thereby, to plan conservation strategies. In ecological studies, mathematical models are the new standard to reconstruct the distribution of living species on Earth because of their accuracy in predicting a species presence or absence at unsampled locations. These methods are able to reconstruct the climatic niche of a species and to project it onto a geographic domain in order to predict the species’ spatial distribution. To do this, besides the occurrences of a species, the models necessarily require the spatial maps of environmental variables, like temperature and precipitation, for all the study area.

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Uma breve história sobre o pacote R ‘metan’

Post ESCRITO POR Tiago Olivoto

This post is also available in English

Em nosso recente artigo na Methods in Ecology and Evolution, Alessandro D. Lúcio e eu descrevemos um novo pacote R para análise de ensaios multi-ambientes chamado metan. Ensaios multi-ambientes são um tipo de ensaio em programas de melhoramento de plantas, onde vários genótipos são avaliados em um conjunto de ambientes. A análise desses dados requer a combinação de várias abordagens, incluindo manipulação, visualização e modelagem de dados. A versão estável mais recente do metan (v1.5.1) está disponível agora no repositório CRAN. Então, pensei em compartilhar a história da minha primeira incursão no uso do R criando um pacote e submetendo um artigo para uma revista que nunca havia submetido antes.

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A brief history about the R package ‘metan’

Post provided by Tiago Olivoto

Este post também pode ser lido em Português

In our recent paper in Methods in Ecology and Evolution, Alessandro Lúcio and I describe a new R package, metan, for multi-environment trial analysis. Multi-environment trials are a kind of trial in plant breeding programs where several genotypes are evaluated in a set of environments. Analyzing such data requires the combination of several approaches including data manipulation, visualization and modelling. The latest stable version of metan (v1.5.1) is now on CRAN. So, I want to share the history about my first foray into using R, creating an R package, and submitting a paper to a journal that I’ve never had submitted before.

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Issue 10.12: Statistical Ecology, UAVs, Invasive Species and More

The December issue of Methods is now online!

The final 2019 issue of Methods in Ecology and Evolution is online now.

To close out another brilliant year, we’ve got papers on invasive species, convolutional neural networks, rapid spatial risk modelling, species distribution models and much more.

You can find out more about our Featured Articles (selected by the Senior Editor) below. We also discuss this month’s Open Access and freely available papers we’ve published in our latest issue (Practical Tools and Applications articles are always free to access, whether you have a subscription or not) .

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