Improving collaborations between empiricists and modelers to advance grassland community dynamics in ecosystem models

Kevin R Wilcox; Kimberly J Komatsu; Meghan L Avolio; C2E Consortium

doi:10.1111/nph.16900

Improving collaborations between empiricists and modelers to advance grassland community dynamics in ecosystem models

New Phytol. 2020 Dec;228(5):1467-1471. doi: 10.1111/nph.16900.

Authors

Kevin R Wilcox¹, Kimberly J Komatsu², Meghan L Avolio³; C2E Consortium

Collaborators

Affiliations

¹ Department of Ecosystem Science and Management, University of Wyoming, Laramie, WY, 82071, USA.
² Smithsonian Environmental Research Center, Edgewater, MD, 21037, USA.
³ Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, 21218, USA.

PMID: 33460147
DOI: 10.1111/nph.16900

No abstract available

Keywords: community ecology; dynamic global vegetation model (DGVM); ecosystem function; gap model; grassland dynamics; process‐based models; statistical models; trait‐based models.

Publication types

Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Ecology
Ecosystem*
Grassland*