estar: An R package to measure ecological stability

Post provided by Ludmilla Figueiredo Nature is very dynamic: forests transform through the seasons and regrow after fire, insect plagues happen with little to no forewarning, and animals like the Fernandina giant tortoise and the leopard-spotted fish come back from the dead decades after apparent extinction. Some of these changes are part of the natural behaviour of these systems, but some are a response to … Continue reading estar: An R package to measure ecological stability

DImodelsMulti: Making Advanced DI Modelling Accessible.

Post provided by Laura Byrne. I am a researcher at University College Cork, Ireland, working with statistical models for use with biodiversity data. My research is driven by my interests in sustainability, the facilitation of natural ecosystems alongside necessary urbanisation, statistical modelling, and coding. You can find out more about our work on Diversity-Interactions models (including video introductions, maths and coding tutorials, and an archive … Continue reading DImodelsMulti: Making Advanced DI Modelling Accessible.

Students, software, and soil flux: lessons learned from development of a package to estimate soil carbon flux at National Ecological Observatory Sites across the United States

By Naupaka Zimmerman and John Zobitz We (Naupaka and John) are faculty at primarily undergraduate institutions (PUIs) where our lives are a blend of teaching and scholarship. We’re always looking for projects that impact our teaching, mentoring, and scholarship duties simultaneously—those sweet spots where one effort advances multiple aims. Due to higher teaching loads and institutional missions that focus on undergraduate research, it can be … Continue reading Students, software, and soil flux: lessons learned from development of a package to estimate soil carbon flux at National Ecological Observatory Sites across the United States

Studying social transmission using STbayes

Post provided by Michael Chimento. When studying animal culture, it’s important to establish whether novel behaviours or information have spread through social contact, or are rather innovated or personally discovered. Unfortunately, we can’t give animals a survey asking how they learned something! While many methods for studying social transmission have been proposed over the years, network-based diffusion analysis (NBDA), first introduced in Franz and Nunn … Continue reading Studying social transmission using STbayes

CMiNet: Building Reliable Microbiome Networks Through Consensus. 

Post provided by Rosa Aghdam I am a scientist at the Solís-Lemus Lab at the University of Wisconsin–Madison, working at the intersection of microbiome networks and computational biology. My research focuses on understanding the invisible world inside and around us. Microbial communities form intricate social systems, and my goal is to build tools that help researchers study those systems more clearly and more reliably. You … Continue reading CMiNet: Building Reliable Microbiome Networks Through Consensus. 

Peering through the shell: tracking stress with heartbeats

Post provided by Lima F. P.; Pereira F. L.; Loureiro B.; Humet M.; Seabra R. How can we tell when an animal is stressed, long before it dies? For marine invertebrates like mussels, limpets, oysters, or crabs, one of the clearest signals comes from their hearts. Heart rate can vary in response to changes in the environment (such as temperature or oxygen), offering a non-invasive … Continue reading Peering through the shell: tracking stress with heartbeats

An easy-to-manage tool for forest ecosystem modeling—The pnetr R package

Post provided by Xiaojie Gao I am a remote sensing ecologist currently working as a postdoctoral researcher at Harvard Forest department of Harvard University. My research focuses on mapping and understanding the impacts of climate change and human activities on the terrestrial vegetation ecosystems. The development of the pnetr R package for forest ecosystem modeling was inspired by my own research interest in understanding how … Continue reading An easy-to-manage tool for forest ecosystem modeling—The pnetr R package

Nicolas Mongiardino Koch: Chronospaces: An R package for the statistical exploration of divergence times promotes the assessment of methodological sensitivity

Throughout March and April, we are featuring articles shortlisted for the 2024 Robert May Prize. The Robert May Prize is awarded by the British Ecological Society each year for the best paper in Methods in Ecology and Evolution written by an early career author. Nicolas Mongiardino Koch’s article ‘Chronospaces: An R package for the statistical exploration of divergence times promotes the assessment of methodological sensitivity‘ is one … Continue reading Nicolas Mongiardino Koch: Chronospaces: An R package for the statistical exploration of divergence times promotes the assessment of methodological sensitivity

Our March issue is out now!

This issue contains the latest methods in ecology and evolution. Read to find out about this month’s featured articles and the article behind our cover! Featured Bayesian views of generalized additive modelling This study aims to highlight useful links (and differences) between Bayesian and frequentist approaches to smoothing, as detailed in the statistical literature, in an accessible way, with a focus on the mgcv implementation. By … Continue reading Our March issue is out now!

Unde Venis Species? RRphylogeography, a new accurate method finds the area of origin of species

Post provided by Pasquale Raia (he/him), Alessandro Mondanaro (he/him) and Silvia Castiglione (she/her) Quo Vadis? Latin for Where Are You Going? was a huge 1951 box office hit produced by Metro Goldwyn Mayer. The film (which is based on an 1896 book wrote by the Polish novelist Henryk Sienkiewicz) was set in ancient Rome during Nero’s reign and is credited for saving MGM from bankruptcy … Continue reading Unde Venis Species? RRphylogeography, a new accurate method finds the area of origin of species