Sihi Biogeochemistry Lab

Sihi Biogeochemistry Lab specializes in measuring and modeling Soil Organic Matter (or Carbon) dynamics and Greenhouse Gas Emissions from natural and managed ecosystems. We enjoy coupling data generated from empirical studies and environmental networks with process-based (aka mechanistic) and machine learning models. We use biogeochemical models to evaluate the fate of soil (and ecosystem) carbon (and nutrient) in the face of climate change in systems ranging from the tropics and subtropics to temperate and temperate-boreal transition zones and soils from forests, wetlands, grasslands, and agricultural landscapes.

We are funded by the National Science Foundation, Department of Energy, Valent U.S.A./Valent Biosciences, Emory College of Arts and Sciences, University Research Council, and Halle Institute for Global Research at Emory University.

If you are interested in joining our group, please email the PI (Debjani Sihi) at debjani.sihi@emory.edu.

Meet the Team

Principal Investigators

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Debjani Sihi

Assistant Professor

Researchers

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Zhuonan Wang

Post Doc

Graduate Students

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Marissa Duckett

PhD student

Undergraduate Students

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Aditya Kolisetti

Undergraduate Student

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Jack Kagan

Undergraduate Student

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Natasha Rasnick

Undergraduate Student

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Rebekah Lee

Undergraduate Student

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Zoe Price

Undergraduate Student

Lab Assistant

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Paul Bausemer

Lab Assistant

past members

Abdul Baseer Khan

visiting Ph.D. student

Kihoon Alan Kang

Undergraduate interns

Kristina Trifonova

Undergraduate interns

Marshall McCall

Undergraduate interns

Projects

Managing soil health in an organic food production system under changing climate

Funding source: Program to Enhance Research and Scholarship, Emory College of Arts and Sciences

Modeling Soil Carbon for Climate-Smart and Sustainable Future

Funding source: Halle Institute for Global Research, Emory University and The Halle Foundation Collaborative Research Grant

Upscaling soil organic carbon measurements at the continental scale by understanding emergent ecosystem properties and spatial representativeness analysis

Upscaling soil organic carbon measurements at the continental scale by understanding emergent ecosystem properties and spatial representativeness analysis

Funding source: National Science Foundation, Macrosystem Biology and NEON-Enabled Science (Award #: DEB-2106137)

Using probability distribution function as a scaling approach to incorporate soil heterogeneity into biogeochemical models for greenhouse gas predictions

Using probability distribution function as a scaling approach to incorporate soil heterogeneity into biogeochemical models for greenhouse gas predictions

Funding source: US Department of Energy Office of Science, Environmental System Science (Award #: DE-SC0022314)

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