The concepts and methodologies of machine learning are increasingly used to create semi-
autonomous programmes capable of adapting to a multitude of problems and decision …

Implementing effective, affordable and ethical conservation management will be crucial for
minimising future biodiversity losses. Such management requires reliable foundational …

Reintroduction efforts are increasingly used to mitigate biodiversity losses, but are frequently
challenged by inadequate planning and uncertainty. High quality information about …

Threatened species managers are often required to make swift decisions in the face of
considerable uncertainty. We tested a structured approach for evaluating conservation …

Conservation decision makers must negotiate social and technical complexities to achieve
desired biodiversity outcomes. Quantitative models can inform decision making, by …

Emergency conservation interventions will be increasingly necessary to prevent extinctions
or severe population bottlenecks as extreme events become more frequent. We detail the …

Small, fragmented, or isolated populations are at risk of population decline due to fitness
costs associated with inbreeding and genetic drift. The King Island scrubtit Acanthornis …

Monitoring is needed to assess conservation success and improve management, but naïve
or simplistic interpretation of monitoring data can lead to poor decisions. We illustrate how to …

Captive breeding programs are an increasingly important tool for species' conservation
efforts, but not all species reproduce well in captivity. Identifying factors that affect the …

Areas beyond national jurisdiction, or the high seas, are vital to life on Earth. However, the
conservation of these areas, for example, through area‐based management tools (ABMTs) …