Implementing a New Rubber Plant Functional Type in the Community Land Model (CLM5) Improves Accuracy of Carbon and Water Flux Estimation

Ashehad A. Ali, Yuanchao Fan, Marife D. Corre, Martyna M. Kotowska, Evelyn Preuss-Hassler, Andi Nur Cahyo, Fernando E. Moyano, Christian Stiegler, Alexander Röll, Ana Meijide, Alexander Olchev, Andre Ringeler, Christoph Leuschner, Rahmi Ariani, Tania June, Suria Tarigan, Holger Kreft, Dirk Hölscher, Chonggang Xu, Charles D. Koven, Katherine Dagon, Rosie A. Fisher, Edzo Veldkamp and Alexander Knohl
Additional contact information
Ashehad A. Ali: Department of Bioclimatology, University of Göttingen, Bioclimatology, 37077 Göttingen, Germany
Yuanchao Fan: Center for the Environment, Faculty of Arts and Sciences, Harvard University, Cambridge, MA 02138, USA
Marife D. Corre: Soil Science of Tropical and Subtropical Ecosystems, University of Göttingen, 37077 Göttingen, Germany
Martyna M. Kotowska: Department of Plant Ecology and Ecosystems Research, University of Göttingen, 37007 Göttingen, Germany
Evelyn Preuss-Hassler: Soil Science of Tropical and Subtropical Ecosystems, University of Göttingen, 37077 Göttingen, Germany
Andi Nur Cahyo: Indonesian Rubber Research Institute, Banyuasin 30953, Indonesia
Fernando E. Moyano: Department of Bioclimatology, University of Göttingen, Bioclimatology, 37077 Göttingen, Germany
Christian Stiegler: Department of Bioclimatology, University of Göttingen, Bioclimatology, 37077 Göttingen, Germany
Alexander Röll: Tropical Silviculture and Forest Ecology, University of Göttingen, 37007 Göttingen, Germany
Ana Meijide: Department of Crop Sciences, Division Agronomy, University of Göttingen, 37007 Göttingen, Germany
Alexander Olchev: Department of Meteorology and Climatology, Faculty of Geography, Lomonosov Moscow State University, 1199991 Moscow, Russia
Andre Ringeler: Department of Bioclimatology, University of Göttingen, Bioclimatology, 37077 Göttingen, Germany
Christoph Leuschner: Department of Plant Ecology and Ecosystems Research, University of Göttingen, 37007 Göttingen, Germany
Rahmi Ariani: Department of Bioclimatology, University of Göttingen, Bioclimatology, 37077 Göttingen, Germany
Tania June: Department of Geophysics and Meteorology, Bogor Agricultural University, Bogor 16680, Indonesia
Suria Tarigan: Department of Soil and Natural Resources Management, Bogor Agricultural University, Bogor 16680, Indonesia
Holger Kreft: Centre of Biodiversity and Sustainable Land Use, University of Göttingen, 37007 Göttingen, Germany
Dirk Hölscher: Tropical Silviculture and Forest Ecology, University of Göttingen, 37007 Göttingen, Germany
Chonggang Xu: Los Alamos National Laboratory, Earth and Environmental Sciences Division, Los Alamos, NM 87545, USA
Charles D. Koven: Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, CA 94701, USA
Katherine Dagon: Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO 80301, USA
Rosie A. Fisher: Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO 80301, USA
Edzo Veldkamp: Soil Science of Tropical and Subtropical Ecosystems, University of Göttingen, 37077 Göttingen, Germany
Alexander Knohl: Department of Bioclimatology, University of Göttingen, Bioclimatology, 37077 Göttingen, Germany

Land, 2022, vol. 11, issue 2, 1-24

Abstract: Rubber plantations are an economically viable land-use type that occupies large swathes of land in Southeast Asia that have undergone conversion from native forest to intensive plantation forestry. Such land-use change has a strong impact on carbon, energy, and water fluxes in ecosystems, and uncertainties exist in the modeling of future land-use change impacts on these fluxes due to the scarcity of measured data and poor representation of key biogeochemical processes. In this current modeling effort, we utilized the Community Land Model Version 5 (CLM5) to simulate a rubber plant functional type (PFT) by comparing the baseline parameter values of tropical evergreen PFT and tropical deciduous PFT with a newly developed rubber PFT (focused on the parameterization and modification of phenology and allocation processes) based on site-level observations of a rubber clone in Indonesia. We found that the baseline tropical evergreen and baseline tropical deciduous functions and parameterizations in CLM5 poorly simulate the leaf area index, carbon dynamics, and water fluxes of rubber plantations. The newly developed rubber PFT and parametrizations (CLM-rubber) showed that daylength could be used as a universal trigger for defoliation and refoliation of rubber plantations. CLM-rubber was able to predict seasonal patterns of latex yield reasonably well, despite highly variable tapping periods across Southeast Asia. Further, model comparisons indicated that CLM-rubber can simulate carbon and energy fluxes similar to the existing rubber model simulations available in the literature. Our modeling results indicate that CLM-rubber can be applied in Southeast Asia to examine variations in carbon and water fluxes for rubber plantations and assess how rubber-related land-use changes in the tropics feedback to climate through carbon and water cycling.

Keywords: rubber trees; intraspecies differences; carbon–water cycling; CLM; earth system model; land-use change (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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