Play the video to know about our lab's AI activities
We are seeking graduate students and post doctoral fellows to join our team. See here for more details!
RESEARCH TOPICS
How climate change and habitat loss are affecting ecological systems?
As climate records are broken nearly every year, many ecological systems and habitats are increasingly at risk. Habitat loss as well, whether due to climate change, human activity, or natural disturbances, poses significant challenges to the survival of species and the stability of ecosystems. In our lab, we aim to identify which habitats are at risk, the mechanisms driving these changes, and the strategies that animals and plants can use to cope with these challenges.
To answer these critical questions, we integrate knowledge from ecology, physiology, computer science, data science, and mathematics. By combining diverse fields of expertise, we strive to uncover solutions that inform conservation strategies and help mitigate the impacts of habitat loss and climate change.
As climate records are broken nearly every year, many ecological systems and habitats are increasingly at risk. Habitat loss as well, whether due to climate change, human activity, or natural disturbances, poses significant challenges to the survival of species and the stability of ecosystems. In our lab, we aim to identify which habitats are at risk, the mechanisms driving these changes, and the strategies that animals and plants can use to cope with these challenges.
To answer these critical questions, we integrate knowledge from ecology, physiology, computer science, data science, and mathematics. By combining diverse fields of expertise, we strive to uncover solutions that inform conservation strategies and help mitigate the impacts of habitat loss and climate change.
Ecological ModelingAnimals are in constant interaction with their surrounding environment. We integrate climatological and ecological models to understand what biological responses should be expected under climate change. Our models are mostly mechanistic, based on first-principles from ecology, physiology, and environmental sciences, but we also develop machine-learning algorithms to downscale climatic data and detect animals' activity. By combining our models with experimental work, we aim to explore the strategies animals can use to buffer the impacts of climate change.
|
Empirical ResearchWe gather and analyze comprehensive field observations to gain a deeper understanding of the complex interactions between climate, competition, and predation, and how these factors influence the survival, behavior, and distribution of organisms in various ecosystems. Our work involves examining both direct and indirect effects of environmental changes, providing insights into the intricate web of ecological relationships. These observations are essential for predicting future ecological scenarios and guiding conservation efforts.
|
Spatial SimulationsThe scaling of ecological models from organisms to populations is crucial for predicting the distribution of biodiversity in the future. For this purpose, We develop ecological simulations at regional to global scales. Such spatial analysis may highlight regions at which populations are vulnerable to climate change, and suggest which natural habitats should be preserved to protect a particular area's diversity.
|