Articles | Volume 8, issue 11
https://doi.org/10.5194/gmd-8-3593-2015
© Author(s) 2015. 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-8-3593-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED)
R. A. Fisher
CORRESPONDING AUTHOR
National Center for Atmospheric Research, Boulder, Colorado 80305, USA
S. Muszala
National Center for Atmospheric Research, Boulder, Colorado 80305, USA
M. Verteinstein
National Center for Atmospheric Research, Boulder, Colorado 80305, USA
P. Lawrence
National Center for Atmospheric Research, Boulder, Colorado 80305, USA
C. Xu
Los Alamos National Laboratory, Los Alamos, New Mexico 87454, USA
N. G. McDowell
Los Alamos National Laboratory, Los Alamos, New Mexico 87454, USA
R. G. Knox
Lawrence Berkeley National Laboratory, Berkeley, California, USA
Lawrence Berkeley National Laboratory, Berkeley, California, USA
Lawrence Berkeley National Laboratory, Berkeley, California, USA
B. M. Rogers
Woods Hole Research Center, Falmouth, Massachusetts, USA
A. Spessa
Department Environment, Earth and Ecosystems, Open University, Milton Keynes, UK
Department Atmospheric Chemistry, Max Planck Institute for Chemistry, Mainz, Germany
D. Lawrence
National Center for Atmospheric Research, Boulder, Colorado 80305, USA
National Center for Atmospheric Research, Boulder, Colorado 80305, USA
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190 citations as recorded by crossref.
- Climate-driven disturbances in the San Juan River sub-basin of the Colorado River K. Bennett et al.
- Demography, dynamics and data: building confidence for simulating changes in the world's forests A. Eckes‐Shephard et al.
- From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance S. Serbin et al.
- Improving E3SM Land Model Photosynthesis Parameterization via Satellite SIF, Machine Learning, and Surrogate Modeling A. Chen et al.
- Physiological strategies for handling summer water stress differ among co-existing species and between juvenile and mature trees K. Bryant et al.
- Drought shortens subtropical understory growing season by advancing leaf senescence H. Sun et al.
- Distribution modelling of vegetation types based on area frame survey data P. Horvath et al.
- Observed variation in soil properties can drive large variation in modelled forest functioning and composition during tropical forest secondary succession D. Medvigy et al.
- Fire as a fundamental ecological process: Research advances and frontiers K. McLauchlan et al.
- Modeling the topographic influence on aboveground biomass using a coupled model of hillslope hydrology and ecosystem dynamics Y. Fang et al.
- Modeling the Joint Effects of Vegetation Characteristics and Soil Properties on Ecosystem Dynamics in a Panama Tropical Forest Y. Cheng et al.
- Mechanisms of fine-scale landscape heterogeneity in shaping eco-hydrological processes in a typical subtropical forest of Southeast China: Insights from ground observations and a fine-scale terrestrial biosphere model Y. Li et al.
- VIC–CropSyst-v2: A regional-scale modeling platform to simulate the nexus of climate, hydrology, cropping systems, and human decisions K. Malek et al.
- Dynamic Global Vegetation Models: Searching for the balance between demographic process representation and computational tractability A. Argles et al.
- 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.
- Hydraulically‐vulnerable trees survive on deep‐water access during droughts in a tropical forest R. Chitra‐Tarak et al.
- Assessing trait‐based scaling theory in tropical forests spanning a broad temperature gradient B. Enquist et al.
- Uncertainty propagation in a global biogeochemical model driven by leaf area data C. Bian & J. Xia
- Synergistic Application of Multiple Machine Learning Algorithms and Hyperparameter Optimization Strategies for Net Ecosystem Productivity Prediction in Southeast Asia C. Huang et al.
- Impact of the numerical solution approach of a plant hydrodynamic model (v0.1) on vegetation dynamics Y. Fang et al.
- Tracing carbon dynamics during vegetation succession in a subtropical forest L. Chen et al.
- A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration with photosynthesis simulations D. Aboelyazeed et al.
- Evolution of the Atlantic Intertropical Convergence Zone, and the South American and African Monsoons Over the Past 95‐Myr and Their Impact on the Tropical Rainforests R. Acosta et al.
- Assessing the representation of the Australian carbon cycle in global vegetation models L. Teckentrup et al.
- Soil water percolation and nutrient fluxes as a function of topographical, seasonal and soil texture variation in Central Amazonia, Brazil J. Rodrigues et al.
- Short-term effects of drought on tropical forest do not fully predict impacts of repeated or long-term drought: gas exchange versus growth P. Meir et al.
- Simulated annual changes in plant functional types and their responses to climate change on the northern Tibetan Plateau L. Cuo et al.
- Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES) E. Massoud et al.
- Beyond high‐throughput: leveraging plant phenotyping to improve understanding and prediction of plant growth through process‐based models T. Ting et al.
- Impacts of hydraulic redistribution on eco-hydrological cycles: A case study over the Amazon basin Y. Wang et al.
- Functionally Assembled Terrestrial Ecosystem Simulator (FATES) for Hurricane Disturbance and Recovery M. Shi et al.
- Climate benefits of Amazon secondary forests—recent advances and research needs J. Baker et al.
- Drivers and mechanisms of tree mortality in moist tropical forests N. McDowell et al.
- Glacial Inception in Marine Isotope Stage 19: An Orbital Analog for a Natural Holocene Climate S. Vavrus et al.
- Toward a coordinated understanding of hydro‐biogeochemical root functions in tropical forests for application in vegetation models D. Cusack et al.
- Trait-based representation of hydrological functional properties of plants in weather and ecosystem models A. Matheny et al.
- Ecosystem function in complex mountain terrain: Combining models and long‐term observations to advance process‐based understanding W. Wieder et al.
- Dynamical Downscaling of Temperature Variations over the Canadian Prairie Provinces under Climate Change X. Zhou et al.
- Spatio-temporal differences in leaf physiology are associated with fire, not drought, in a clonally integrated shrub E. Wedel et al.
- Predicting Chronic Climate-Driven Disturbances and Their Mitigation N. McDowell et al.
- Quantifying the effects of solar geoengineering on vegetation K. Dagon & D. Schrag
- Quantifying Regional Surface Energy Responses to Forest Structural Change in Nordic Fennoscandia Y. Kumkar et al.
- Will thinning and fuel reduction treatments help dry conifer forests persist under climate change? A. Hanbury-Brown et al.
- Linking plant hydraulics and beta diversity in tropical forests B. Christoffersen et al.
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Saved (final revised paper)
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Short summary
Predicting the distribution of vegetation under novel climates is important, both to understand how climate change will impact ecosystem services, but also to understand how vegetation changes might affect the carbon, energy and water cycles. Historically, predictions have been heavily dependent upon observations of existing vegetation boundaries. In this paper, we attempt to predict ecosystem boundaries from the ``bottom up'', and illustrate the complexities and promise of this approach.
Predicting the distribution of vegetation under novel climates is important, both to understand...