Researcher

Pursuit: The Missing Link: Incorporating the Role of Biological Diversity into Projections of Ecosystem Services

 

"The Missing Link: Incorporating the Role of Biological Diversity into Projections of Ecosystem Services"

We will bring communities of practice for modeling domains together to develop strategies to link biodiversity and ecosystem service models. We will focus on links between biodiversity and key ecological processes underpinning ecosystem services, considering the broader context needed to produce socio-economic and socio-environmental scenarios and projections.

Pursuit: Food-Energy-Water Interdependencies of the Global Agrarian Transition

 

"Food-Energy-Water Interdependencies of the Global Agrarian Transition"

The aim of this Pursuit is to assess the relationship between large-scale land acquisitions (LSLAs) and the food-energy-water (FEW) nexus considering not only the agricultural elements of this transformation, but also the impacts on land cover, water and energy demand, on ecosystems, and the effects on the socio-economic, cultural and institutional conditions on the affected populations.

Pursuit: The Ecological Consequence of Declining Nitrogen Concentration in Plants Worldwide

 

"The Ecological Consequence of Declining Nitrogen Concentration in Plants Worldwide"

This pursuit will synthesize global measurements of plant nitrogen (N) concentration to produce the first global investigation of spatiotemporal trends. The resulting data base and analysis will be an important future resource for remote sensing and global studies of plant traits. In phase two of the project, we will evaluate the ecological consequences of declining N availability to plants.

Pursuit: The Death and Life of Biodiversity: Modeling Extinction and Resilience on Islands

 

"The Death and Life of Biodiversity: Modeling Extinction and Resilience on Islands"

This Pursuit will translate models of extinction dates, overlap between fauna and early human populations, and species distributions, into demographic predictions and structured threat assessments. These estimates will generate comparisons of extinction rates under varying regimes of human use and disturbance and demographic projections under alternative future scenarios.

Graduate Pursuit: Identifying Socio-Environmental Watershed Typologies Based on Stormwater Pollution Using Machine Learning

 

Identifying Socio-Environmental Watershed Typologies Based on Stormwater Pollution Using Machine Learning

This project represents the first socio-environmental-technological system (SETS) study of the generation of stormwater pollution in urban watersheds across the United States. Urban stormwater pollution poses a major and growing threat to local waterbodies, yet its study and management has consistently ignored the human activities and behaviors that release pollution.

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