NGEE Arctic
Next-Generation Ecosystem Experiments
Advancing the predictive power of Earth system models through understanding
of the structure and function of Arctic terrestrial ecosystems
Publications
A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regressionAbstract." Journal of Experimental Botany 72, no. 18 (2021): 6175-6189.
"Building a Culture of Safety and Trust in Team Science." Eos 101 (2020).
"A global trait-based approach to estimate leaf nitrogen functional allocation from observations." Ecological Applications 27, no. 5 (2017): 1421-1434.
"Global-scale environmental control of plant photosynthetic capacity." Ecological Applications 25, no. 8 (2015): 2349-2365.
"Improving representation of photosynthesis in Earth System Models." New Phytologist 204, no. 1 (2014): 12-14.
"New calculations for photosynthesis measurement systems: what's the impact for physiologists and modelers?" New Phytologist 233, no. 2 (2022): 592-598.
"Optimal stomatal behaviour around the world." Nature Climate Change 5, no. 5 (2015): 459-464.
"Reducing model uncertainty of climate change impacts on high latitude carbon assimilation." Global Change Biology 28, no. 4 (2022): 1222-1247.
"A reporting format for leaf-level gas exchange data and metadata." Ecological Informatics 61 (2021): 101232.
"A roadmap for improving the representation of photosynthesis in Earth system models." New Phytologist 213, no. 1 (2017): 22-42.
"