We compiled a comprehensive dataset of leaf traits and spectra to explore the transferability of predictive models. We found that while PLSR models demonstrate commendable performance in predicting chlorophyll content, carotenoid, leaf water, and leaf …
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Congratulations to Fujiang, who received the department’s annual Thomas O’Brien Award!
New paper in Nature Climate Change: Xiaojia and Fa led a study investigating Boreal-Arctic wetland methane emissions
“Methane concentrations are rising faster than ever in the atmosphere. Now, a compilation of observations points towards increased methane emissions from Arctic wetlands as being partly responsible” – Commented by Torben R. Christensen Check out …
Hamid won the 2023 DIH Postdoctoral Fellowship – Congratulations!
Wisconsin is the second-largest dairy producer in the US, but the industry is facing challenges, including climate change and changes in dietary patterns. US climate policies, including carbon pricing, are complex due to variations between …
Min gave his “vegetation structural complexity” talk at Ohio State University
Min gave a talk at Johns Hopkins University Wolman Seminar on Vegetation Structural Complexity and Its Implications on Oct 31, 2023
Min gave an invited talk at Harvard University Atmospheric & Environmental Chemistry Seminar on Modeling Wetland Methane Emissions on Oct 27, 2023
New Research Published in Earth’s Future Explores the Impact of Uncertain Future Land Use and Land Cover Change on Land Carbon Dynamics
Today, an important study led by graduate student Meng Luo, with contributions from Fa Li and Hamid Dashti of our lab, has been published in Earth’s Future, shedding light on the uncertainties surrounding future land …
Our paper “Structural complexity biases vegetation greenness measures” has been published in Nature Ecology & Evolution
In the field of global change ecology and Earth system science, understanding vegetation greenness changes is crucial. Spectral vegetation indices (VIs) have been widely used for this purpose, but they are susceptible to artifacts, as …
Meng’s proposal has been selected by the NASA FINESST program
Meng Luo’s proposal “Quantifying the impacts of forest biomass and productivity change on future Land cover and land use change projections” was selected for funding by NASA’s Future Investigators in NASA Earth and Space Science …