Synergistic data analytics and physical modeling for improved understanding of vegetation dynamics under climatological stress: a key uncertainty in ecosystem management

    flowchart
    W[2018AGUFMPA33B..35L]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (5)"]
    W== author ==>LA
    W== affil ==>LI
    click LA "#linked-authors"
    click LI "#linked-institutions"
Graph neighborhood for 'Synergistic data analytics and physical modeling for improved understanding of vegetation dynamics under climatological stress: a key uncertainty in ecosystem management'. Click aggregate nodes to navigate.
ADS bibcode
2018AGUFMPA33B..35L
year
2018
Listed Authors
Liu, Y.
Kumar, M.
Katul, G. G.
Parolari, A.
Porporato, A. M.
Huang, C. W.
Konings, A.
Listed Institutions
Nicholas School of the Environment, Duke University, Durham, NC, United States
Nicholas School of the Environment, Duke University, Durham, NC, United States
Nicholas School of the Environment, Duke University, Durham, NC, United States
Marquette University, Milwaukee, WI, United States
Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States
Biology, University Of New Mexico, Albuquerque, NM, United States
Department of Earth System Science, Stanford University, Stanford, CA, United States

Linked Authors [?]

Linked Institutions