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Article: Global simulations of carbon allocation coefficients for deciduous vegetation types
Title | Global simulations of carbon allocation coefficients for deciduous vegetation types |
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Authors | |
Keywords | Bayesian inversion Carbon allocation Integrated biosphere simulator Leaf area index Resource availability |
Issue Date | 2015 |
Citation | Tellus, Series B: Chemical and Physical Meteorology, 2015, v. 6, n. 1, article no. 28016 How to Cite? |
Abstract | The allocation of photosynthate among the plant components plays an important role in regulating plant growth, competition and other ecosystem functions. Several process-based carbon allocation models have been developed and incorporated into ecosystem models; however, these models have used arbitrary model parameters and have never been sufficiently validated on a global scale. This study uses the Integrated Biosphere Simulator (IBIS) model as a platform to integrate a carbon allocation model (resource availability model) with satellite-derived leaf area index (LAI) dataset, which allows us to inversely predict the allocation parameters for five deciduous vegetation types. Our results showed that the carbon allocation coefficients can be reliably constrained by the satellite LAI product, and the new parameters substantially improved model performance for simulating LAI and aboveground biomass globally. The spatial pattern of allocation coefficients among plant parts is supported by a number of studies. Compared with the standard version of the IBIS model using fixed allocation coefficients, the revised resource availability carbon allocation model tends to promote higher root carbon allocation. Our study provides a method for inverting the parameters of the carbon allocation model and improves the model performance in simulating the LAI and biomass. |
Persistent Identifier | http://hdl.handle.net/10722/321696 |
ISSN | 2015 Impact Factor: 2.402 2023 SCImago Journal Rankings: 0.612 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Xia, Jiangzhou | - |
dc.contributor.author | Chen, Yang | - |
dc.contributor.author | Liang, Shunlin | - |
dc.contributor.author | Liu, Dan | - |
dc.contributor.author | Yuan, Wenping | - |
dc.date.accessioned | 2022-11-03T02:20:50Z | - |
dc.date.available | 2022-11-03T02:20:50Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Tellus, Series B: Chemical and Physical Meteorology, 2015, v. 6, n. 1, article no. 28016 | - |
dc.identifier.issn | 0280-6509 | - |
dc.identifier.uri | http://hdl.handle.net/10722/321696 | - |
dc.description.abstract | The allocation of photosynthate among the plant components plays an important role in regulating plant growth, competition and other ecosystem functions. Several process-based carbon allocation models have been developed and incorporated into ecosystem models; however, these models have used arbitrary model parameters and have never been sufficiently validated on a global scale. This study uses the Integrated Biosphere Simulator (IBIS) model as a platform to integrate a carbon allocation model (resource availability model) with satellite-derived leaf area index (LAI) dataset, which allows us to inversely predict the allocation parameters for five deciduous vegetation types. Our results showed that the carbon allocation coefficients can be reliably constrained by the satellite LAI product, and the new parameters substantially improved model performance for simulating LAI and aboveground biomass globally. The spatial pattern of allocation coefficients among plant parts is supported by a number of studies. Compared with the standard version of the IBIS model using fixed allocation coefficients, the revised resource availability carbon allocation model tends to promote higher root carbon allocation. Our study provides a method for inverting the parameters of the carbon allocation model and improves the model performance in simulating the LAI and biomass. | - |
dc.language | eng | - |
dc.relation.ispartof | Tellus, Series B: Chemical and Physical Meteorology | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Bayesian inversion | - |
dc.subject | Carbon allocation | - |
dc.subject | Integrated biosphere simulator | - |
dc.subject | Leaf area index | - |
dc.subject | Resource availability | - |
dc.title | Global simulations of carbon allocation coefficients for deciduous vegetation types | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3402/tellusb.v67.28016 | - |
dc.identifier.scopus | eid_2-s2.0-84982840763 | - |
dc.identifier.volume | 6 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | article no. 28016 | - |
dc.identifier.epage | article no. 28016 | - |
dc.identifier.eissn | 1600-0889 | - |
dc.identifier.isi | WOS:000365974500001 | - |