Global simulation of fine resolution land use/cover change and estimation of aboveground biomass carbon under the shared socioeconomic pathways
文献类型：期刊论文
| 作者 | Zeng, Li3; Liu, Xiaoping3,4; Li, Wenhao3; Ou, Jinpei3; Cai, Yiling3; Chen, Guangzhao3; Li, Manchun5; Li, Guangdong1; Zhang, Honghui2,6; Xu, Xiaocong3 |
| 刊名 | JOURNAL OF ENVIRONMENTAL MANAGEMENT
 |
| 出版日期 | 2022-06-15 |
| 卷号 | 312页码:11 |
| ISSN号 | 0301-4797 |
| 关键词 | Global LUCC simulation Aboveground biomass carbon Shared socioeconomic pathways (SSPs) Resolution of 1 km |
| DOI | 10.1016/j.jenvman.2022.114943 |
| 通讯作者 | Xu, Xiaocong(xuxiaocong@mail.sysu.edu.cn) |
| 英文摘要 | Land use change driven by human activities plays a critical role in the terrestrial carbon budget through habitat loss and vegetation change. Despite the projections of the global population and economic growth under the framework of the Shared Socioeconomic Pathways (SSPs), little is known of land use/cover change (LUCC) at a fine spatial resolution and how carbon pools respond to LUCC under different SSPs. This study projected the future global LUCC with 1 km spatial resolution and a 10-year time step from 2010 to 2100 and then explored its direct impacts on aboveground biomass carbon (AGB) under SSPs. Scenario SSP3 yields the highest global cropland expansion, among which approximately 48% and 46% is expected to be located in the current forest land and grassland, respectively. Scenario SSP1 has the largest forest expansion and is mainly converted from grassland (54%) and cropland (30%). Due to the spatial change in land use/cover, global AGB loss is expected to reach approximately 3.422 Pg C in 2100 under scenario SSP3 and increases by approximately 0.587 Pg C under scenario SSP1. Africa is expected to lose 30% of AGB under the scenario SSP3. Aboveground biomass in Asia will fix 0.774 Pg C to reverse the AGB loss in 2100 under scenario SSP1. The global carbon loss estimated by the land use products with 10 km and 25 km resolution are less than that with 1 km by 1.5% (ranging from-11.2% in Africa to +34.0% in Oceania) and 2.9% (ranging from-11.8% in Africa to +24.0% in Oceania), respectively. These findings suggest that sufficient spatial details in the existing SSP scenario projections could reduce the uncertainties of AGB assessment, and reasonable land use development and management is a key measure to mitigate the negative impacts of LUCC on the biomass carbon pool. |
| WOS关键词 | COVER CHANGE ; SCENARIOS ; BIODIVERSITY ; IMPACTS ; MAPS |
| 资助项目 | National Key Research and Devel-opment Program of China[2019YFA0607203] ; National Natural Science Foundation of China[42001326] ; National Natural Science Foundation of China[41901327] ; National Natural Science Foundation of China[42171410] ; Natural Science Foundation of Guangdong Province of China[2022A1515012207] ; Natural Science Foundation of Guangdong Province of China[2021A1515011192] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD |
| WOS记录号 | WOS:000806543600004 |
| 资助机构 | National Key Research and Devel-opment Program of China ; National Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/179862]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xu, Xiaocong |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res IGSNRR, Key Lab Reg Sustainable Dev Modeling, Beijing, Peoples R China 2.Guangdong Guodi Planning Sci Technol Co Ltd, Guangzhou, Peoples R China 3.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Key Lab Urbanizat & Geosimulat, Guangzhou, Peoples R China 4.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China 5.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing, Peoples R China 6.Hunan Normal Univ, Coll Resources & Environm Sci, Changsha, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zeng, Li,Liu, Xiaoping,Li, Wenhao,et al. Global simulation of fine resolution land use/cover change and estimation of aboveground biomass carbon under the shared socioeconomic pathways[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2022,312:11. |
| APA | Zeng, Li.,Liu, Xiaoping.,Li, Wenhao.,Ou, Jinpei.,Cai, Yiling.,...&Xu, Xiaocong.(2022).Global simulation of fine resolution land use/cover change and estimation of aboveground biomass carbon under the shared socioeconomic pathways.JOURNAL OF ENVIRONMENTAL MANAGEMENT,312,11. |
| MLA | Zeng, Li,et al."Global simulation of fine resolution land use/cover change and estimation of aboveground biomass carbon under the shared socioeconomic pathways".JOURNAL OF ENVIRONMENTAL MANAGEMENT 312(2022):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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