New coupled model used inversely for reconstructing past terrestrial carbon storage from pollen data: validation of model using modern data
文献类型：期刊论文
| 作者 | Wu, Haibin1,2,3; Guiot, Joel3; Peng, Changhui1,4; Guo, Zhengtang5 |
| 刊名 | GLOBAL CHANGE BIOLOGY
 |
| 出版日期 | 2009 |
| 卷号 | 15期号:1页码:82-96 |
| 关键词 | BIOME6000 biome model inverse model pollen biome scores terrestrial carbon storage |
| ISSN号 | 1354-1013 |
| DOI | 10.1111/j.1365-2486.2008.01712.x |
| 文献子类 | Article |
| 英文摘要 | The knowledge of potential impacts of climate change on terrestrial vegetation is crucial to understand long-term global carbon cycle development. Discrepancy in data has long existed between past carbon storage reconstructions since the Last Glacial Maximum by way of pollen, carbon isotopes, and general circulation model (GCM) analysis. This may be due to the fact that these methods do not synthetically take into account significant differences in climate distribution between modern and past conditions, as well as the effects of atmospheric CO(2) concentrations on vegetation. In this study, a new method to estimate past biospheric carbon stocks is reported, utilizing a new integrated ecosystem model (PCM) built on a physiological process vegetation model (BIOME4) coupled with a process-based biospheric carbon model (DEMETER). The PCM was constrained to fit pollen data to obtain realistic estimates. It was estimated that the probability distribution of climatic parameters, as simulated by BIOME4 in an inverse process, was compatible with pollen data while DEMETER successfully simulated carbon storage values with corresponding outputs of BIOME4. The carbon model was validated with present-day observations of vegetation biomes and soil carbon, and the inversion scheme was tested against 1491 surface pollen spectra sample sites procured in Africa and Eurasia. Results show that this method can successfully simulate biomes and related climates at most selected pollen sites, providing a coefficient of determination (R) of 0.83-0.97 between the observed and reconstructed climates, while also showing a consensus with an R-value of 0.90-0.96 between the simulated biome average terrestrial carbon variables and the available observations. The results demonstrate the reliability and feasibility of the climate reconstruction method and its potential efficiency in reconstructing past terrestrial carbon storage. |
| WOS关键词 | LAST GLACIAL MAXIMUM ; PLANT MACROFOSSIL DATA ; FORMER SOVIET-UNION ; ATMOSPHERIC CO2 ; STOMATAL CONDUCTANCE ; PALEOECOLOGICAL DATA ; DECOMPOSITION RATES ; GLOBAL VEGETATION ; BIOSPHERE-MODEL ; CLIMATE |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000262347600006 |
| 出版者 | WILEY-BLACKWELL PUBLISHING, INC |
| 资助机构 | National Basic Research Program of China(2004CB720203) ; National Basic Research Program of China(2004CB720203) ; National Natural Science Foundation of China(40730104 ; National Natural Science Foundation of China(40730104 ; NSFC for Innovation Group project(40121303) ; NSFC for Innovation Group project(40121303) ; French Ministry of Research to Haibin Wu ; French Ministry of Research to Haibin Wu ; Furong Scholar Program ; Furong Scholar Program ; Natural Sciences and Engineering Research Council of Canada ; Natural Sciences and Engineering Research Council of Canada ; French National Agency for Research (ANR) ; French National Agency for Research (ANR) ; French CNRS ; French CNRS ; European Science Foundation ; European Science Foundation ; 40599422) ; 40599422) ; National Basic Research Program of China(2004CB720203) ; National Basic Research Program of China(2004CB720203) ; National Natural Science Foundation of China(40730104 ; National Natural Science Foundation of China(40730104 ; NSFC for Innovation Group project(40121303) ; NSFC for Innovation Group project(40121303) ; French Ministry of Research to Haibin Wu ; French Ministry of Research to Haibin Wu ; Furong Scholar Program ; Furong Scholar Program ; Natural Sciences and Engineering Research Council of Canada ; Natural Sciences and Engineering Research Council of Canada ; French National Agency for Research (ANR) ; French National Agency for Research (ANR) ; French CNRS ; French CNRS ; European Science Foundation ; European Science Foundation ; 40599422) ; 40599422) ; National Basic Research Program of China(2004CB720203) ; National Basic Research Program of China(2004CB720203) ; National Natural Science Foundation of China(40730104 ; National Natural Science Foundation of China(40730104 ; NSFC for Innovation Group project(40121303) ; NSFC for Innovation Group project(40121303) ; French Ministry of Research to Haibin Wu ; French Ministry of Research to Haibin Wu ; Furong Scholar Program ; Furong Scholar Program ; Natural Sciences and Engineering Research Council of Canada ; Natural Sciences and Engineering Research Council of Canada ; French National Agency for Research (ANR) ; French National Agency for Research (ANR) ; French CNRS ; French CNRS ; European Science Foundation ; European Science Foundation ; 40599422) ; 40599422) ; National Basic Research Program of China(2004CB720203) ; National Basic Research Program of China(2004CB720203) ; National Natural Science Foundation of China(40730104 ; National Natural Science Foundation of China(40730104 ; NSFC for Innovation Group project(40121303) ; NSFC for Innovation Group project(40121303) ; French Ministry of Research to Haibin Wu ; French Ministry of Research to Haibin Wu ; Furong Scholar Program ; Furong Scholar Program ; Natural Sciences and Engineering Research Council of Canada ; Natural Sciences and Engineering Research Council of Canada ; French National Agency for Research (ANR) ; French National Agency for Research (ANR) ; French CNRS ; French CNRS ; European Science Foundation ; European Science Foundation ; 40599422) ; 40599422) |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/70926]  |
| 专题 | 中国科学院地质与地球物理研究所 |
| 通讯作者 | Peng, Changhui |
| 作者单位 | 1.Univ Quebec, Inst Environm Sci, Dept Sci Biol, Montreal, PQ H3C 3P8, Canada 2.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710075, Peoples R China 3.Univ Aix Marseille 3, CNRS, CEREGE, UMR 6635, F-13545 Aix En Provence, France 4.Cent S Univ Forestry & Technol, Ecol Res Sect, Changsha 410004, Hunan, Peoples R China 5.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Haibin,Guiot, Joel,Peng, Changhui,et al. New coupled model used inversely for reconstructing past terrestrial carbon storage from pollen data: validation of model using modern data[J]. GLOBAL CHANGE BIOLOGY,2009,15(1):82-96. |
| APA | Wu, Haibin,Guiot, Joel,Peng, Changhui,&Guo, Zhengtang.(2009).New coupled model used inversely for reconstructing past terrestrial carbon storage from pollen data: validation of model using modern data.GLOBAL CHANGE BIOLOGY,15(1),82-96. |
| MLA | Wu, Haibin,et al."New coupled model used inversely for reconstructing past terrestrial carbon storage from pollen data: validation of model using modern data".GLOBAL CHANGE BIOLOGY 15.1(2009):82-96. |
入库方式： OAI收割
来源：地质与地球物理研究所
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