Spatially explicit changes in forest biomass carbon of China over the past 4 decades: Coupling long-term inventory and remote sensing data
文献类型：期刊论文
| 作者 | Zhao, Miaomiao2,6; Yang, Jilin1,6; Zhao, Na2,6; Liu, Luo5; Du, Ling4; Xiao, Xiangming4; Yue, Tianxiang2,6; Wilson, John P.2,3,6 |
| 刊名 | JOURNAL OF CLEANER PRODUCTION
 |
| 出版日期 | 2021-09-20 |
| 卷号 | 316页码:12 |
| 关键词 | China Forest biomass Carbon sinks Forest inventories Forest cover distribution |
| ISSN号 | 0959-6526 |
| DOI | 10.1016/j.jclepro.2021.128274 |
| 通讯作者 | Yang, Jilin(yangjl.17b@igsnrr.ac.cn) ; Yue, Tianxiang(yue@lreis.ac.cn) |
| 英文摘要 | Quantification of the spatial pattern of forest carbon (C) sinks in high resolution is helpful to reveal the factors that affect the C cycle and provides valuable information for developing sustainable forest management policies. Here we developed a method using the data of long-term forest inventories (1977-2018) and spatially-explicit remotely sensed information from land-use maps and the Normalized Difference Vegetation Index (NDVI) datasets, to estimate the spatial and temporal variation of forest biomass C in China. At first, we calculated forest biomass C stocks using the refined Continuous Biomass Expansion Factor (CBEF) model with parameters for each forest type based on eight national forest inventories. Secondly, based on multi-temporal land-use remote sensing and national forest inventory datasets, we obtained forest coverage datasets with high resolution (1 km*1 km). Thirdly, we downscaled the forest biomass C density using the calibrated forest coverage maps and the maximum NDVI values derived from GIMMS-NDVI3g imagery. Our results showed that China's forest functioned as a C sink of 3777.73 Tg C, and the C density of forest stands increased from 35.41 Mg C ha? 1 during 1977-1981 to 43.95 Mg C ha? 1 during 2014-2018. In addition, the validation results for most of the provinces based on published inventory estimates during the eight periods showed that the forest area at the pixel scale was successfully calibrated. From this, we produced the maps with a finer resolution for a series of spatially continuous forest biomass carbon density distribution and carbon sinks. Notably eight major forest projects have accounted for 44%-51% of the forest C stocks added in China from 1977 to 2018. Our research provides new insights for understanding and monitoring the spatiotemporal variations in of forest biomass and key information to support the development of new afforestation policies moving forward. |
| WOS关键词 | LAND-USE CHANGE ; RELATIVE CONTRIBUTIONS ; CLIMATE-CHANGE ; GROWING STOCK ; TIME-SERIES ; SEQUESTRATION ; ECOSYSTEMS ; EXPANSION ; PATTERNS ; BALANCE |
| 资助项目 | Strategic Priority Research Program (A) of the Chinese Academy of Sciences[XDA20030203] ; National Natural Science Foundation of China[41930647] ; China Scholarship Council[201804910728] ; InnovationProject of LREIS[O88RA600YA] ; Biodiversity Investigation, Observation and Assessment Program (2019-2023) of the Ministry of Ecology and Environment of China |
| WOS研究方向 | Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000723085400001 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | Strategic Priority Research Program (A) of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; China Scholarship Council ; InnovationProject of LREIS ; Biodiversity Investigation, Observation and Assessment Program (2019-2023) of the Ministry of Ecology and Environment of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/168275]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Jilin; Yue, Tianxiang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Southern Calif, Spatial Sci Inst, Los Angeles, CA 90089 USA 4.Univ Oklahoma, Dept Microbiol & Plant Biol, Ctr Spatial Anal, Norman, OK 73019 USA 5.South China Agr Univ, Coll Nat Resources & Environm, Guangdong Prov Engn Res Ctr Land Informat Technol, Guangzhou 510642, Peoples R China 6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Miaomiao,Yang, Jilin,Zhao, Na,et al. Spatially explicit changes in forest biomass carbon of China over the past 4 decades: Coupling long-term inventory and remote sensing data[J]. JOURNAL OF CLEANER PRODUCTION,2021,316:12. |
| APA | Zhao, Miaomiao.,Yang, Jilin.,Zhao, Na.,Liu, Luo.,Du, Ling.,...&Wilson, John P..(2021).Spatially explicit changes in forest biomass carbon of China over the past 4 decades: Coupling long-term inventory and remote sensing data.JOURNAL OF CLEANER PRODUCTION,316,12. |
| MLA | Zhao, Miaomiao,et al."Spatially explicit changes in forest biomass carbon of China over the past 4 decades: Coupling long-term inventory and remote sensing data".JOURNAL OF CLEANER PRODUCTION 316(2021):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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