Research
Our research is at the interface of ecology and conservation.
We aim to provide science-based evidence to conserve wildlife and landscapes for nature and people.
Preventing extinction
Science to recover endangered species
We provide science-based evidence to reduce extinction risk for several imperiled species. Much of this work focuses on interpreting conservation and management actions and their effects on populations. One major project involves delivering much needed information on the dynamics and trends of the endangered snail kite, a spatially structured population and key barometer of the restoration efforts in the Everglades.
Connectivity conservation
Connecting nature by fostering movement
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The ability of plants and animals to move successfully is essential for survival. Our work aims to advance connectivity concepts, methods, and applications across the world. This work includes developing models to predict connectivity, evaluating wildlife corridors, addressing connectivity and human-wildlife conflict, and identifying better ways to monitor conservation actions that aim to improve connectivity.
Biodiversity and environmental change
Applications and concepts for
multi-functional landscapes
We work on a variety of issues that operate across landscapes, such as the problem of habitat fragmentation, how the 'landscape matrix' can be managed to improve biodiversity outcomes, and how we can balance biodiversity conservation and other human needs, such as food and energy production.
Landscape restoration and rewilding
Nature-based solutions to for wildlife and people
We conduct long-term studies to understand how the loss of biodiversity and degradation of landscapes can be addressed through restoration and rewilding actions. This work includes understanding the importance of megafauna and their value for rewilding, how restoration actions can be reliably monitored across landscapes, and what actions may best improve biodiversity outcomes.
Quantitative science
Models to improve understanding, forecasting, and decision-making
We develop, apply and evaluate state-of-the-art models for ecology and conservation. These efforts focus on process-based modeling, the use of AI, statistical modeling, and the scaling and forecasting of models of individuals, populations, and biodiversity across space and time.
