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

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

From lost Wood Thrushes to scientific breakthroughs: How a fieldwork challenge sparked a new way to think about occupancy models

Post provided by Vitek Jirinec In 2013, I found myself knee-deep in the marshes and forests of southeastern Virginia, USA, embarking on what would become an unpredictable journey in my career. Fresh into my graduate thesis at the College of William & Mary under the guidance of Matthias Leu, the plan was studying the habitat use of Wood Thrushes—a species that is often researched, but … Continue reading From lost Wood Thrushes to scientific breakthroughs: How a fieldwork challenge sparked a new way to think about occupancy models

Bringing UV into the Light: A New Tool for Monitoring Ultraviolet Light Exposure Over Time

Post provided by Matthew Lattanzio. Hello there! My name is Matthew Lattanzio, and I am an Associate Professor at Christopher Newport University where I study how reptiles and amphibians interact with and respond to environmental variability. I grew up as a nature enthusiast, and so it is exciting to still carry that curiosity through to my career, constantly challenging myself and my students to think … Continue reading Bringing UV into the Light: A New Tool for Monitoring Ultraviolet Light Exposure Over Time

Improving Reporting Standards For Simulation Studies

Post provided by Coralie Williams Have you ever wondered if your simulation study could be replicated? The replication crisis has been a hot topic in empirical research for years, but it’s only recently that we’ve started discussing it in statistical method research (Boulesteix et al., 2020; Luijken et al., 2024). Methodological research often relies on simulations – computer experiments that assess how well statistical methods … Continue reading Improving Reporting Standards For Simulation Studies

Introducing ‘Life on the edge’, a new toolbox for predicting population responses to global change

Post provided by Chris Barratt Chris is a Researcher in the Animal Breeding and Genomics group (Centre for Genetic Resources Netherlands) at Wageningen University and Research, and a guest researcher at Naturalis Biodiversity Center in Leiden. Caught somewhere between being a quantitative geneticist, a spatial modeller and a conservationist, he is committed to finding new and interesting ways to integrate genomic data and predictive modelling … Continue reading Introducing ‘Life on the edge’, a new toolbox for predicting population responses to global change

Tackling uncertainty in landscape connectivity

Post provided by Maëlis Kervellec  An Increased Interest Towards Landscape Connectivity Human activities not only contribute to climate change by producing greenhouse gases, but also directly degrade habitats. According to the 2019 IPBES report , about 75% of the Earth’s land surfaces have been heavily modified. Moreover, in Europe, 50% of the land is within 1.5 kilometres of a road (Torres, Jaeger, and Alonso, 2016 ). This … Continue reading Tackling uncertainty in landscape connectivity

Introducing sabinaNSDM: A New R Package for Improved Species Distribution Modeling based on Spatially-Nested Hierarchical models

Post provided by Teresa Goicolea and Alejandra Zarzo Esta publicación también está disponible en español. Species Distribution Models (SDMs) are essential tools for scientists and conservationists to predict where species are likely to be found, where they have existed in the past, and where they might appear in the future. As we face urgent issues like climate change and biodiversity loss, producing accurate predictions is … Continue reading Introducing sabinaNSDM: A New R Package for Improved Species Distribution Modeling based on Spatially-Nested Hierarchical models

Opening Ecology to Local, Traditional, and Indigenous Knowledge

Post provided by James T. Thorson Ecologists have a social responsibility to document, interpret, and forecast how human activities are impacting our shared world.  There’s an ongoing movement to open ecology to new voices: for example, the Biden-Harris Administration has directed US agencies to incorporate Indigenous Knowledge through ethical and mutually beneficial relationships with tribal nations.  This direction is clearly important, and requires developing new … Continue reading Opening Ecology to Local, Traditional, and Indigenous Knowledge