Tag: Ecology

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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Conferences and Meetings

From Personal Reflections to Emerging Ecological Methods: My BES2024 Experience

Post provided by Sthandiwe Nomthandazo Kanyile The British Ecological Society (BES) held its Annual Meeting in Liverpool in December last year, attracting over 1,600 delegates from around the world! As the oldest ecological society in the world, the BES has a rich history of promoting ecological research, serving as a vital hub for scientists, practitioners, and conservationists across the globe. So, when plans were set … Continue reading From Personal Reflections to Emerging Ecological Methods: My BES2024 Experience

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Ecology, Methods papers

The photo that got away: Camera traps may monitor less space than we think

Post provided by Brendan Carswell. Brendan (he/him/his) is currently a PhD student in Biology at the University of Calgary in the Weaving Wildlife and Land Based Knowledges lab. This paper, however, came from Brendan’s Masters work at the Memorial University of Newfoundland and Labrador in the Wildlife Evolutionary Ecology Lab. Motivation Our research team is interested in facilitating inclusive and accessible wildlife management across Canada. … Continue reading The photo that got away: Camera traps may monitor less space than we think

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Ecology, Field Methods

From lab tanks to river banks: taking fish cognition research into the wild

Post provided by Catarina Vila Pouca This post is also available in Portuguese Hello there! My name is Catarina Vila Pouca and I study how and why animals behave and learn in different ways. I have had a passion for sharks and swimming for as long as I can remember, and so in my career I have mostly focused on sharks and fish. My latest … Continue reading From lab tanks to river banks: taking fish cognition research into the wild

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Journal Issues

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!

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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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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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Ecology

Avoiding Confusion: Modelling Image Identification Surveys with Classification Errors

Post provided by Jon Barry We are a group comprised of statisticians, ecologists and a computer scientist. Back in 2021 when this work started, we were all employed at the Centre for Environment, Fisheries and Aquacultural Science (Cefas) at Lowestoft, U.K. Since then, Robert, our computer scientist, has ‘jumped ship’ (no pun intended) to the Alan Turing Institute. We were aware that AI image recognition … Continue reading Avoiding Confusion: Modelling Image Identification Surveys with Classification Errors

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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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