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. 

Our December issue is out now!

This issue contains the latest methods in ecology and evolution. Read the last issue of the year to find out about this month’s featured articles and the article behind our cover! Featured Fast‐tracking ecological interpretation using bespoke quantitative large language models There is untapped potential to apply large language models (LLMs) to quantitative ecological and environmental datasets. Here, authors present a roadmap for designing and … Continue reading Our December issue is out now!

Our November 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 Current frontiers in the passive acoustic monitoring of bats Passive acoustic monitoring of bats is used in a growing number of studies in applied and basic research. Despite the publication of good-practice recommendations, several unsettled debates persist about the … Continue reading Our November issue is out now!

Modelling approaches in meta-analysis: from sandwich estimators to correlated hierarchical models

Post provided by Coralie Williams Conducting a meta-analysis involves a series of decisions, from choosing what data to extract to selecting the outcome measure. But then comes the model specification – how should it be formulated? At its simplest, a meta-analysis can be expressed as a simple linear regression model where the outcome is an effect size (yi), which is a quantitative measure derived from … Continue reading Modelling approaches in meta-analysis: from sandwich estimators to correlated hierarchical models

Listening to trees: uncovering the seismic fingerprint of wind-induced tree sway

Post provided by Josefine Umlauft. We are a group of geophysicists, mathematicians, and ecologists who normally speak quite different scientific languages. This project brought us together through a shared curiosity: could the instruments and analytical tools originally developed for studying earthquakes also help us understand how trees move in the wind? The result, The Seismic Fingerprint of Wind-Induced Tree Sway, grew out of conversations between … Continue reading Listening to trees: uncovering the seismic fingerprint of wind-induced tree sway

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

Our October 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 Advancing causal inference in ecology: Pathways for biodiversity change detection and attribution Here, authors address key challenges of biodiversity change detection and conservative causal attribution and propose solutions to overcome barriers in (1) biodiversity and driver data characteristics, (2) detection of change within both data types and (3) linking driver and biodiversity … Continue reading Our October issue is out now!

Our September 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 DeepDiveR—A software for deep learning estimation of palaeodiversity from fossil occurrences The incompleteness of the fossil record presents a barrier to estimating changes in biodiversity which standard statistical methods struggle to account for. Here authors present DeepDiveR, an R package … Continue reading Our September issue is out now!

Citizen scientist coders for wildlife conservation – a MoveApps story

Post provided by Andrea Kölzsch. I am a movement ecologist and have until recently worked as a PostDoc at the Max Planck Institute of Animal Behavior in Radolfzell, Germany. My research focusses, on the one hand, on the tracking of waterbird movement, but in a more general capacity on the empowering of ecologists to gain knowledge from complex data. The background story of our presently … Continue reading Citizen scientist coders for wildlife conservation – a MoveApps story