Author: plydtanthera

Ecology, Statistical methods

Simple, intuitive tool for population management decision-making

Post provided by Izzy McCabe Predictions of insect populations from phenology models and sampling can help growers manage pests and beneficial insects on their farms. Phenology models relate accumulated heat units after winter to pest development and thereby inform timing of control actions, while sampling relies on regular on-site data collection (daily, weekly, etc.) to measure pest population densities and estimate potential damage. A drawback … Continue reading Simple, intuitive tool for population management decision-making

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Conservation and management, Ecology, Field Methods

The Ground Beneath Their Feet: Listening in on Africa’s wildlife using seismic sensors

Post provided by René Steinmann Hi, I’m a geophysicist by training, but I’ve recently shifted my focus from studying the solid Earth to some of its living inhabitants. I now work at the intersection of geophysics, wildlife biology, and machine learning. My recent research brings together these seemingly distant worlds in a project that’s all about listening—not to singing birds, but to the subtle vibrations … Continue reading The Ground Beneath Their Feet: Listening in on Africa’s wildlife using seismic sensors

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Field Methods, Practical Tools

From Kenya to Ohio – the inspiration for WildWing: an open-source, autonomous and affordable unmanned aerial system for animal behavioural video monitoring

Post provided by Jenna Kline, PhD Candidate, Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA The story of the WildWing project began in 2022 when I enrolled in the Experiential Introduction to Imageomics course. For the fieldwork component of the course, I travelled to the Mpala Research Centre in Laikipia, Kenya. My course project advisors, Dr Tanya Berger-Wolf and Dr … Continue reading From Kenya to Ohio – the inspiration for WildWing: an open-source, autonomous and affordable unmanned aerial system for animal behavioural video monitoring

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Ecology

From a frustrated undergraduate to a motivated PhD: The story of YOLO-Behaviour for automated behavioural coding from videos

Post provided by Alex Chan Hoi Hang, PhD student, Centre for the Advanced Study of Collective Behaviour, University of Konstanz The story of this project can be traced back to 2019, as a second-year undergraduate in biological sciences at Imperial College London, UK, where I took an animal behaviour course. For one of the hands-on sessions, Dr. Julia Schroeder (who later became my undergraduate and … Continue reading From a frustrated undergraduate to a motivated PhD: The story of YOLO-Behaviour for automated behavioural coding from videos

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Ecology, Methods papers

Addressing observational biases in data-driven approaches of zoonotic hazard prediction

Post provided by Andrea Tonelli Over the past five decades, more than half of emerging infectious diseases in humans originated from animals, with zoonotic pathogens posing a growing threat to global health. Shifts in land use, climate change, direct use of wildlife and biodiversity loss all influence human exposure to pathogens of wild animals, shaping the likelihood of zoonotic spillover events. In the wake of … Continue reading Addressing observational biases in data-driven approaches of zoonotic hazard prediction

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Evolution, Phylogenetic analysis, Statistical methods

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

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Code and Applications, Ecology, Statistical methods

Into the Swarm-Verse: quantifying collective motion across species and contexts

Post provided by Marina Papadopoulou Authors We are three researchers interested in collective animal behaviour. Marina Papadopoulou is a postdoctoral researcher at Tuscia University in Italy, Simon Garnier is a Professor at the New Jersey Institute of Technology (USA), and Andrew King is an Associate Professor at Swansea University (UK). As a Greek-French-Welsh team with empirical, mathematical, and computational backgrounds in different study systems, we … Continue reading Into the Swarm-Verse: quantifying collective motion across species and contexts

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Code and Applications, Statistical methods

It is only by understanding what causes sampling bias that we can correct it

Post provided by Rob J. Boyd Colleagues and I recently published a paper in MEE, and its title might induce a bit of head scratching: “Using causal diagrams … to correct geographic sampling biases in biodiversity monitoring data” (Boyd et al., 2025). If you’re familiar with causal inference, you might be wondering, “What have causal diagrams got to do with sampling biases?” And if you’re … Continue reading It is only by understanding what causes sampling bias that we can correct it

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