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

C2E Consortium

doi:10.1111/nph.16900

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

C2E Consortium

Forest Resources

Research output: Contribution to journal › Comment/debate › peer-review

6 Scopus citations

Original language	English (US)
Pages (from-to)	1467-1471
Number of pages	5
Journal	New Phytologist
Volume	228
Issue number	5
DOIs	https://doi.org/10.1111/nph.16900
State	Published - 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

PubMed: MeSH publication types

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

Access

10.1111/nph.16900

OpenUrl availability

Full text

Cite this

@article{28c217ff567e473383f42d1f7f892a22,

title = "Improving collaborations between empiricists and modelers to advance grassland community dynamics in ecosystem models",

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

author = "{C2E Consortium} and Wilcox, {Kevin R.} and Komatsu, {Kimberly J.} and Avolio, {Meghan L.} and Bowman, {William D.} and Ethan Butler and Collins, {Scott L.} and Dukes, {Jeffrey S.} and Rosie Fisher and Keenan, {Trevor F.} and Kiang, {Nancy Y.} and Knapp, {Alan K.} and Koerner, {Sally E.} and Lara Kueppers and Lemoine, {Nathan P.} and Guopeng Liang and Loik, {Michael E.} and Yiqi Luo and Ben Poulter and Reich, {Peter B.} and Katherine Renwick and Melinda Smith and Andrew Tredennick and Walker, {Anthony P.} and Ensheng Weng",

note = "Funding Information: We are grateful for funding to K. (La Pierre) Komatsu, M. Avolio, and K. Wilcox for the {\textquoteleft}Integrating plant community and ecosystem responses to chronic global change drivers: toward an explanation of patterns and improved global predictions{\textquoteright} 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 {\textquoteleft}Integrating plant community and ecosystem responses to chronic global change drivers: toward an explanation of patterns and improved global predictions{\textquoteright} 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. ",

year = "2022",

month = dec,

doi = "10.1111/nph.16900",

language = "English (US)",

volume = "228",

pages = "1467--1471",

journal = "New Phytologist",

issn = "0028-646X",

publisher = "Wiley-Blackwell",

number = "5",

}

TY - JOUR

T1 - Improving collaborations between empiricists and modelers to advance grassland community dynamics in ecosystem models

AU - C2E Consortium

AU - Wilcox, Kevin R.

AU - Komatsu, Kimberly J.

AU - Avolio, Meghan L.

AU - Bowman, William D.

AU - Butler, Ethan

AU - Collins, Scott L.

AU - Dukes, Jeffrey S.

AU - Fisher, Rosie

AU - Keenan, Trevor F.

AU - Kiang, Nancy Y.

AU - Knapp, Alan K.

AU - Koerner, Sally E.

AU - Kueppers, Lara

AU - Lemoine, Nathan P.

AU - Liang, Guopeng

AU - Loik, Michael E.

AU - Luo, Yiqi

AU - Poulter, Ben

AU - Reich, Peter B.

AU - Renwick, Katherine

AU - Smith, Melinda

AU - Tredennick, Andrew

AU - Walker, Anthony P.

AU - Weng, Ensheng

N1 - 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.

PY - 2022/12

Y1 - 2022/12

KW - community ecology

KW - dynamic global vegetation model (DGVM)

KW - ecosystem function

KW - gap model

KW - grassland dynamics

KW - process-based models

KW - statistical models

KW - trait-based models

UR - http://www.scopus.com/inward/record.url?scp=85100124900&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85100124900&partnerID=8YFLogxK

U2 - 10.1111/nph.16900

DO - 10.1111/nph.16900

M3 - Comment/debate

C2 - 33460147

AN - SCOPUS:85100124900

SN - 0028-646X

VL - 228

SP - 1467

EP - 1471

JO - New Phytologist

JF - New Phytologist

IS - 5

ER -

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

Bibliographical note

Keywords

PubMed: MeSH publication types

Access

OpenUrl availability

Other files and links

Cite this