The rate of global change and synergies among stressors are outpacing our ability to understand and address their impacts on wildlife species across different taxa. Our research uses spatial data and approaches to aid conservation decision making under uncertainty. We integrate wildlife behavior and traits, in situ observations (e.g., animal locations from GPS collars and field cameras), and satellite data on ecological and anthropogenic factors to map the distribution and change to wildlife habitats and populations. We also examine how climate change affects wildlife habitats, human-wildlife interactions, and coexistence dynamics.
Representative Publications:
Header image credit: Michigan State University
Representative Publications:
- A machine-learning approach to human footprint index estimation with applications to sustainable development.
- Artificial nightlight alters the predator-prey dynamics of an apex carnivore.
- Road development in Asia: range-wide risks to tigers.
- Effects of human-induced prey depletion on large carnivores in protected areas: lessons from modelling tiger populations in stylized spatial scenarios.
- Climate change, disease range shifts, and the future of the Africa lion.
Header image credit: Michigan State University