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

C2E Consortium

Research output: Contribution to journalComment/debatepeer-review

6 Scopus citations
Original languageEnglish (US)
Pages (from-to)1467-1471
Number of pages5
JournalNew Phytologist
Volume228
Issue number5
DOIs
StatePublished - Dec 2022

Bibliographical note

Funding Information:
We are grateful for funding to K. (La Pierre) Komatsu, M. Avolio, and K. Wilcox for the ‘Integrating plant community and ecosystem responses to chronic global change drivers: toward an explanation of patterns and improved global predictions’ Synthesis Group from the National Science Foundation under grant DEB no. 1545288, through the Long Term Ecological Research Network Communications Office, National Center for Ecological Analysis and Synthesis, University of California–Santa Barbara. ORNL is managed by UT-Battelle, LLC, for the DOE under contract DE-AC05-1008 00OR22725.

Funding Information:
We are grateful for funding to K. (La Pierre) Komatsu, M. Avolio, and K. Wilcox for the ‘Integrating plant community and ecosystem responses to chronic global change drivers: toward an explanation of patterns and improved global predictions’ Synthesis Group from the National Science Foundation under grant DEB no. 1545288, through the Long Term Ecological Research Network Communications Office, National Center for Ecological Analysis and Synthesis, University of California–Santa Barbara. ORNL is managed by UT‐Battelle, LLC, for the DOE under contract DE‐AC05‐1008 00OR22725.

Keywords

  • community ecology
  • dynamic global vegetation model (DGVM)
  • ecosystem function
  • gap model
  • grassland dynamics
  • process-based models
  • statistical models
  • trait-based models

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