A novel individual-based model to predict the impacts of offshore wind farms on seabirds during the non-breeding season, using long-term tracking data from SEATRACK. We demonstrate the model by simul...

Postdoctoral Researcher in Statistical Ecology and Evolution

We invite expressions of interest for a postdoc applicant to the National Intelligence Postdoctoral Grant. The project focuses on forecasting scrub typhus risks in Australia using demographic and ecol...

Context The consequences of human exploitation of animal populations remain poorly understood, particularly for populations experiencing spatially-varying harvesting intensity and exposure. If unaccou...

Abstract. Behavioural diversity is an important but understudied facet of biodiversity that enables wildlife populations to cope with rapidly changing envi

“Decay continues” as Australian Research Council’s Decra scheme announces 13.1 per cent success rate

Conservation prioritisation emphasises currently threatened species, but there are strong arguments for complementary, more proactive approaches based on forecasting future extinction risk for unthreatened species. Forecasting methods vary in the timescale of extinction risk estimation and include established methods such as Population Viability Analysis (PVA) and Early Warning Systems, and emerging ‘Over-the-Horizon’ (OTH) methods. We develop a framework that integrates extinction risk assessment across timescales and outlines tradeoffs between shorter- and longer-term extinction prevention goals. This framework facilitates use of extinction risk forecasting in decision-theoretic conservation prioritisation that explicitly considers alternative time horizons for extinction prevention. Considering extinction risk on extended timescales offers a future-proof approach to conservation planning that may prevent more extinctions than focusing exclusively on currently threatened species.

The Norwegian Institute for Nature Research (NINA) is aiming to further strengthen our dynamic Arctic research group through recruitment of several researchers/senior researchers within Arctic ecology...

Job title: PhD Fellow in Ecology/Ecosystem-Based Management (289259), Employer: UiT The Arctic University of Norway, Deadline: Sunday, December 7, 2025

<div>The candidate will be part of an active and cooperative team of researchers in the Department of Evolutionary Biology. The main research fo...