Articles | Volume 10, issue 9
https://doi.org/10.5194/gmd-10-3499-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-3499-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model evaluation paper
| 
22 Sep 2017
Model evaluation paper |
| 22 Sep 2017
Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools, and turnover in temperate forests
Francesc Montané
CORRESPONDING AUTHOR
School of Natural Resources and the Environment, University of
Arizona, Tucson, Arizona, 85721, USA
Andrew M. Fox
School of Natural Resources and the Environment, University of
Arizona, Tucson, Arizona, 85721, USA
Avelino F. Arellano
Department of Hydrology and
Atmospheric Sciences, University of Arizona, Tucson, Arizona, 85721, USA
Natasha MacBean
School of Natural Resources and the Environment, University of
Arizona, Tucson, Arizona, 85721, USA
M. Ross Alexander
School of Natural Resources and the Environment, University of
Arizona, Tucson, Arizona, 85721, USA
Laboratory of Tree-Ring Res., University of Arizona, Tucson,
Arizona, 85721, USA
Alex Dye
Department of Geology and Geography, West
Virginia University, Morgantown, West Virginia, 26506, USA
Daniel A. Bishop
Division of Biology and Paleo Environment, Lamont-Doherty Earth
Observatory, Columbia University, Palisades, New York, 10964, USA
Valerie Trouet
Laboratory of Tree-Ring Res., University of Arizona, Tucson,
Arizona, 85721, USA
Flurin Babst
Laboratory of Tree-Ring Res., University of Arizona, Tucson,
Arizona, 85721, USA
Dendro Sciences Unit, Swiss Federal Research Institute WSL,
Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
W. Szafer
Institute of Botany, Polish Academy of Sciences, ul. Lubicz 46, 31-512
Krakow, Poland
Amy E. Hessl
Department of Geology and Geography, West
Virginia University, Morgantown, West Virginia, 26506, USA
Neil Pederson
Harvard Forest, Harvard University, Petersham,
Massachusetts, 01366, USA
Peter D. Blanken
Department of Geography, University of
Colorado, Boulder, Colorado, 80309, USA
Gil Bohrer
Department of Civil,
Environmental, and Geodetic Engineering, The Ohio State University, Columbus,
Ohio, 43210, USA
Christopher M. Gough
Department of Biology, Virginia Commonwealth
University, Richmond, Virginia, 23284, USA
Marcy E. Litvak
Department of Biology,
University of New Mexico, Albuquerque, New Mexico, 87131, USA
Kimberly A. Novick
School of Public and Environmental Affairs, Indiana University,
Bloomington, Indiana, 47405, USA
Richard P. Phillips
Department of Biology, Indiana
University, Bloomington, Indiana, 47405, USA
Jeffrey D. Wood
School of Natural
Resources, University of Missouri, Columbia, Missouri, 65211, USA
David J. P. Moore
School of Natural Resources and the Environment, University of
Arizona, Tucson, Arizona, 85721, USA
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- Organizing principles for vegetation dynamics O. Franklin et al. 10.1038/s41477-020-0655-x
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- Long-term time series of annual ecosystem production (1985–2010) derived from tree rings in Douglas-fir stands on Vancouver Island, Canada using a hybrid biometric-modelling approach J. Metsaranta et al. 10.1016/j.foreco.2018.06.040
- Wood vs. Canopy Allocation of Aboveground Net Primary Productivity in a Mediterranean Forest during 21 Years of Experimental Rainfall Exclusion R. Ogaya & J. Peñuelas 10.3390/f11101094
- Sensitivity of dryland plant allometry to climate J. Rudgers et al. 10.1111/1365-2435.13463
- Determination of Death Dates of Coarse Woody Debris of Multiple Species in the Central Hardwood Region (Indiana, USA) M. Alexander et al. 10.3959/1536-1098-74.2.135
- Assimilation of Global Satellite Leaf Area Estimates Reduces Modeled Global Carbon Uptake and Energy Loss by Terrestrial Ecosystems A. Fox et al. 10.1029/2022JG006830
- Tree growth sensitivity to climate is temporally variable D. Peltier et al. 10.1111/ele.13575
- When tree rings go global: Challenges and opportunities for retro- and prospective insight F. Babst et al. 10.1016/j.quascirev.2018.07.009
- Dynamical systems for plant carbon storage: describing complex reserve dynamics from simple fluctuations in photosynthesis and carbon allocation R. Thompson et al. 10.1093/treephys/tpad104
- Across‐model spread and shrinking in predicting peatland carbon dynamics under global change E. Hou et al. 10.1111/gcb.16643
- Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0) E. Weng et al. 10.5194/gmd-15-8153-2022
- Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO<sub>2</sub>: simulations using an explicitly competitive, game-theoretic vegetation demographic model E. Weng et al. 10.5194/bg-16-4577-2019
- Addressing biases in Arctic–boreal carbon cycling in the Community Land Model Version 5 L. Birch et al. 10.5194/gmd-14-3361-2021
- Overlooked branch turnover creates a widespread bias in forest carbon accounting H. Lim et al. 10.1073/pnas.2401035121
- Effects of satellite LAI data on modelling land surface temperature and related energy budget in the Noah-MP land surface model A. Huang et al. 10.1016/j.jhydrol.2022.128351
- Evaluating the E3SM land model version 0 (ELMv0) at a temperate forest site using flux and soil water measurements J. Liang et al. 10.5194/gmd-12-1601-2019
- Assessing the Impact of Parameter Uncertainty on Modeling Grass Biomass Using a Hybrid Carbon Allocation Strategy J. Reyes et al. 10.1002/2017MS001022
- Revealing how intra- and inter-annual variability of carbon uptake (GPP) affects wood cell biomass in an eastern white pine forest P. Puchi et al. 10.1088/1748-9326/acb2df
- The changing culture of silviculture A. Achim et al. 10.1093/forestry/cpab047
- Global Patterns in Net Primary Production Allocation Regulated by Environmental Conditions and Forest Stand Age: A Model‐Data Comparison J. Xia et al. 10.1029/2018JG004777
- Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models G. Forzieri et al. 10.1002/2018MS001284
- Exploring the impacts of unprecedented climate extremes on forest ecosystems: hypotheses to guide modeling and experimental studies J. Holm et al. 10.5194/bg-20-2117-2023
- The AmeriFlux network: A coalition of the willing K. Novick et al. 10.1016/j.agrformet.2017.10.009
- Altered plant carbon partitioning enhanced forest ecosystem carbon storage after 25 years of nitrogen additions B. Eastman et al. 10.1111/nph.17256
- A framework for incorporating ecology into Earth System Models is urgently needed D. Moore 10.1111/gcb.15915
- Evaluation of a Data Assimilation System for Land Surface Models Using CLM4.5 A. Fox et al. 10.1029/2018MS001362
- Forest carbon allocation modelling under climate change K. Merganičová et al. 10.1093/treephys/tpz105
- The Respective Effects of Vapor Pressure Deficit and Soil Moisture on Ecosystem Productivity in Southwest China X. Sun et al. 10.3390/rs16081316
- Tree organ growth and carbon allocation dynamics impact the magnitude and δ13C signal of stem and soil CO2 fluxes Y. Tang et al. 10.1093/treephys/tpac079
- Ecosystem Carbon Allocation of a Temperate Mixed Forest and a Subtropical Evergreen Forest in China L. Yiwei et al. 10.5814/j.issn.1674-764x.2018.06.007
Latest update: 20 Nov 2024
Short summary
How carbon is allocated to different plant tissues (leaves, stem, and roots) determines carbon residence time and thus remains a central challenge for understanding the global carbon cycle. In this paper, we compared standard and novel carbon allocation schemes in CLM4.5 and evaluated them using eddy covariance wood and leaf biomass. The dynamic scheme based on work by Litton improved model performance, but this was dependent on model assumptions about woody turnover.
How carbon is allocated to different plant tissues (leaves, stem, and roots) determines carbon...
