Articles | Volume 10, issue 2
https://doi.org/10.5194/gmd-10-689-2017
© 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-10-689-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
14 Feb 2017
Model description paper |
| 14 Feb 2017
Simple process-led algorithms for simulating habitats (SPLASH v.1.0): robust indices of radiation, evapotranspiration and plant-available moisture
Tyler W. Davis
AXA Chair of Biosphere and Climate Impacts, Grand Challenges in Ecosystems and the Environment and Grantham Institute – Climate Change
and the Environment, Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, UK
now at: United States Department of Agriculture-Agricultural Research Service, Robert W. Holley Center for Agriculture and Health, Ithaca, USA
I. Colin Prentice
CORRESPONDING AUTHOR
AXA Chair of Biosphere and Climate Impacts, Grand Challenges in Ecosystems and the Environment and Grantham Institute – Climate Change
and the Environment, Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, UK
Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, Australia
State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Forestry, Northwest Agriculture & Forestry University, Yangling 712100, China
Terrestrial Ecosystem Research Network (TERN) Ecosystem Modelling and Scaling Infrastructure (eMAST), Sydney, New South Wales, Australia
Benjamin D. Stocker
AXA Chair of Biosphere and Climate Impacts, Grand Challenges in Ecosystems and the Environment and Grantham Institute – Climate Change
and the Environment, Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, UK
Rebecca T. Thomas
AXA Chair of Biosphere and Climate Impacts, Grand Challenges in Ecosystems and the Environment and Grantham Institute – Climate Change
and the Environment, Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, UK
Rhys J. Whitley
Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, Australia
Terrestrial Ecosystem Research Network (TERN) Ecosystem Modelling and Scaling Infrastructure (eMAST), Sydney, New South Wales, Australia
Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, Australia
State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Forestry, Northwest Agriculture & Forestry University, Yangling 712100, China
Bradley J. Evans
Terrestrial Ecosystem Research Network (TERN) Ecosystem Modelling and Scaling Infrastructure (eMAST), Sydney, New South Wales, Australia
Faculty of Agriculture and Environment, Department of Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
Angela V. Gallego-Sala
Department of Geography, University of Exeter, Exeter, Devon, UK
Martin T. Sykes
Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
Wolfgang Cramer
Mediterranean Institute of marine and terrestrial Biodiversity and Ecology (IMBE), Aix Marseille University, CNRS, IRD, Avignon University, Aix-en-Provence, France
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- Global divergent responses of primary productivity to water, energy, and CO2 Z. Liu et al. 10.1088/1748-9326/ab57c5
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- A drought event composite analysis using satellite remote-sensing based soil moisture N. Nicolai-Shaw et al. 10.1016/j.rse.2017.06.014
- Environmental versus phylogenetic controls on leaf nitrogen and phosphorous concentrations in vascular plants D. Tian et al. 10.1038/s41467-024-49665-4
- A Method for Generating Coherent Spatially Explicit Maps of Seasonal Paleoclimates From Site‐Based Reconstructions S. Cleator et al. 10.1029/2019MS001630
- Historical changes in the stomatal limitation of photosynthesis: empirical support for an optimality principle A. Lavergne et al. 10.1111/nph.16314
- Plant macrofossil data for 48-0 ka in the USGS North American Packrat Midden Database, version 5.0 L. Strickland et al. 10.1038/s41597-023-02616-y
- Global variation in the fraction of leaf nitrogen allocated to photosynthesis X. Luo et al. 10.1038/s41467-021-25163-9
- Global photosynthetic capacity is optimized to the environment N. Smith et al. 10.1111/ele.13210
- Predictability of leaf traits with climate and elevation: a case study in Gongga Mountain, China H. Xu et al. 10.1093/treephys/tpab003
- The China plant trait database version 2 H. Wang et al. 10.1038/s41597-022-01884-4
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- Thirty-eight years of CO<sub>2</sub> fertilization has outpaced growing aridity to drive greening of Australian woody ecosystems S. Rifai et al. 10.5194/bg-19-491-2022
- Diagnosing evapotranspiration responses to water deficit across biomes using deep learning F. Giardina et al. 10.1111/nph.19197
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- Toward a Robust, Impact‐Based, Predictive Drought Metric S. Hobeichi et al. 10.1029/2021WR031829
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- When and where soil is important to modify the carbon and water economy of leaves J. Paillassa et al. 10.1111/nph.16702
- Optimality-based modelling of climate impacts on global potential wheat yield S. Qiao et al. 10.1088/1748-9326/ac2e38
- Drought impacts on terrestrial primary production underestimated by satellite monitoring B. Stocker et al. 10.1038/s41561-019-0318-6
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- Evaluating the Contribution of Land‐Atmosphere Coupling to Heat Extremes in CMIP5 Models A. Ukkola et al. 10.1029/2018GL079102
- Impacts of soil water stress on the acclimated stomatal limitation of photosynthesis: Insights from stable carbon isotope data A. Lavergne et al. 10.1111/gcb.15364
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Latest update: 14 Dec 2024
Short summary
This research presents a comprehensive description for calculating necessary, but sparsely observed, factors related to Earth's surface energy and water budgets relevant in, but not limited to, the study of ecosystems. We present the equations, including their derivations and assumptions, as well as example indicators relevant to plant-available moisture. The robustness of these relatively simple equations provides a tool to be used across broad fields of scientific research.
This research presents a comprehensive description for calculating necessary, but sparsely...
