What’s That Sound? A New Way to Explore Freshwater Soundscapes

Post provided by Katie Turlington I’m Katie Turlington, a soundscape ecologist and PhD candidate at the Australian Rivers Institute, Griffith University. My research explores how we can use sound to monitor freshwater ecosystems, which are incredibly diverse but often under-surveyed. I’ve spent the last few years working on rivers in South-East Queensland, trying to make sense of the many sounds these systems produce—from insect stridulations … Continue reading What’s That Sound? A New Way to Explore Freshwater Soundscapes

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!

Smart cameras in the wild: A centralised solar-powered Raspberry Pi system for automated animal observation and environmental monitoring

Post provided by Marçal Pou-Rossell Many studies of animal behaviour – especially parental care – rely on short, fragmented observations. Whether due to battery limitations, human resources, or remote field conditions, collecting continuous data throughout an entire reproductive cycle is often just not feasible. As a result, key behaviours can go undocumented, and our understanding of how animals make decisions across time remains incomplete. We … Continue reading Smart cameras in the wild: A centralised solar-powered Raspberry Pi system for automated animal observation and environmental monitoring

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

No training necessary: Shark tracking simplified

Post provide Chinmay Keshava Lalgudi. Drone imagery offers an efficient way to gather data on mobile animals. Drones are used for population surveys, creating 3D models of habitat, and even studying how animals move and behave in their environment. While collecting this data is relatively easy, manually annotating it is painstaking and slow. Analysing drone imagery can often mean spending hours in front of a … Continue reading No training necessary: Shark tracking simplified

Our August 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 Empirical ecology to support mechanistic modelling: Different objectives, better approaches and unique benefits Making mechanistic models credible requires empirical studies, but traditional study topics and designs often do not support them well. The models we use for modern problems need … Continue reading Our August issue is out now!

Catching Biodiversity in the Wind: How a Simple Dust Cloth Revolutionizes Airborne eDNA Monitoring

Post provided by Meng Yao Biodiversity is disappearing at an alarming rate worldwide. To protect it, we first need to monitor it—but tracking species traditionally requires significant time, expertise, and often expensive equipment. What if we could detect the presence of plants and animals just by sampling the air around us? As the principal investigator of the molecular ecology and biodiversity laboratory at Peking University, … Continue reading Catching Biodiversity in the Wind: How a Simple Dust Cloth Revolutionizes Airborne eDNA Monitoring

Can we identify animal behaviours from camera traps without training new AI models?

Post provided by Gaspard Dussert. My name is Gaspard Dussert, and I am a PhD student at the Université Lyon 1, working in the Laboratory of Biometry and Evolutionary Biology (LBBE). My research combines artificial intelligence (AI) with ecology, focusing on automating wildlife monitoring from camera trap images. Camera traps are motion-activated cameras placed in the wild. They are incredibly powerful tools in ecology, helping … Continue reading Can we identify animal behaviours from camera traps without training new AI models?

Our July 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 MicroEcoTools: An R package for comprehensive theoretical microbial ecology analysis Authors introduce MicroEcoTools, an R package designed to test ecological framework predictions using microbial community data. It assesses microbial diversity and evaluates the relative impacts of stochastic and deterministic … Continue reading Our July Issue is out now!

False Causes, Meet Attractor Dimension

Post provided by Yair Daon Who am I? I’m Yair Daon, a mathematician-turned-epidemiologist at Bar-Ilan University’s Faculty of Medicine. Most days I stare at time-series curves that claim one thing “drives” another. When those claims are wrong, public-health decisions can drift off course. Our new Methods in Ecology & Evolution paper introduces a fast way to shout “no!” before that happens. A two-minute primer for … Continue reading False Causes, Meet Attractor Dimension