Data-model integration to interpret connectivity between biogeochemical cycling, and vegetation phenology and productivity in mountainous ecosystems under changing hydrologic regimes
Eoin Brodie1, Bhavna Arora2, Harry R Beller2, Markus Bill3, Nicholas Bouskill4, Romy Chakraborty5, Mark E Conrad3, Baptiste Dafflon2, Brian Joseph Enquist6, Nicola Falco2, Amanda Henderson6, Ulas Karaoz7, Alexander Polussa5, Patrick Sorensen2, Heidi Steltzer8, Haruko M Wainwright5, Shi Wang1, Kenneth Hurst Williams9, Chelsea Wilmer10 and Yuxin Wu5, (1)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (3)Lawrence Berkeley National Laboratory, Energy Geosciences Division, Berkeley, CA, United States, (4)Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, CA, United States, (5)Lawrence Berkeley National Laboratory, Berkeley, United States, (6)University of Arizona, Department of Ecology and Evolutionary Biology, Tucson, United States, (7)Lawrence Berkeley National Laboratory, Molecular Ecology and Biogeochemistry, Berkeley, United States, (8)Iliff School of Theology, Denver, United States, (9)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, United States, (10)Fort Lewis College, Durango, CO, United States
