Predicting soil organic carbon stocks under future land use and climate change conditions in Northeast China
文献类型：期刊论文
| 作者 | Wang, Shuai1,2,3; Zhang, Xingyu1; Adhikari, Kabindra4; Roland, Bol3,6; Zhuang, Qianlai5; Wang, Zicheng1; Shi, Di1; Jin, Xinxin1; Qian, Fengkui1 |
| 刊名 | ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
 |
| 出版日期 | 2023-11-01 |
| 卷号 | 103页码:13 |
| 关键词 | Carbon sequestration Digital soil mapping Future climate Future land use |
| ISSN号 | 0195-9255 |
| DOI | 10.1016/j.eiar.2023.107278 |
| 通讯作者 | Jin, Xinxin(jinxinxin0218@syau.edu.cn) ; Qian, Fengkui(fkqian@syau.edu.cn) |
| 英文摘要 | There are large uncertainties in predicting soil organic carbon (SOC) in response of future changing climate and human activities. This study estimates SOC stocks under future changing land use and climate conditions in Northeast China using a state-of-the-art digital soil mapping technique. A total of 487 soil samples and 12 environmental variables from 37 landscape units (derived from soil, topography, climate, and human activity data) combined with boosted regression trees (BRT) and random forest (RF) models are first used to map the topsoil (0-20 cm) SOC stocks in Northeast China in 2015. The primary environmental variables influencing the variability of SOC stocks are mean annual temperature, elevation, mean annual precipitation, and land use. We then applied the space-for-time substitution method in conjunction with the BRT model to predict the spatial distribution of SOC stocks under future (the 2050s and 2090s) climate and land use scenarios. SOC stocks under the scenarios of shared socioeconomic pathways (SSP245) and SSP585 (average and upper estimate of the increase in atmospheric greenhouse gases for that time) decreased by 1.5% and 4.5% in the 2050s, respectively, compared with 2015 (5293 Tg C). For the 2090s, the SOC stocks under the SSP245 scenario increased by 1.9%, and those under the SSP585 scenario decreased by 0.4%. The SOC stocks in both future periods are mainly stored in farmlands and forests, accounting for 90% and 92% of the total SOC stocks, respectively. Our high-resolution estimated SOC maps provide a scientific basis for optimizing ecological management in Northeast China. |
| WOS关键词 | CHANGE SCENARIO ; COVER CHANGES ; SEQUESTRATION ; IMPACTS ; STORAGE ; FLUXES ; MODEL ; EMISSIONS ; PATTERNS ; DIOXIDE |
| 资助项目 | National Key R & D Program of China[2021YFD1500200] ; National Natural Science Foundation of China[42077149] ; China Postdoctoral Science Foundation[2019 M660782] ; National Science and Technology Basic Resources Survey Program of China[2019FY101300] ; Scientific Research Funding Project of Liaoning Provincial[LJKMZ20220996] ; Doctoral research start -up fund project of Liaoning Provincial Department of Science and Technology[2021-BS- 136] ; China Scholarship Council[201908210132] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001080309600001 |
| 出版者 | ELSEVIER SCIENCE INC |
| 资助机构 | National Key R & D Program of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; National Science and Technology Basic Resources Survey Program of China ; Scientific Research Funding Project of Liaoning Provincial ; Doctoral research start -up fund project of Liaoning Provincial Department of Science and Technology ; China Scholarship Council |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/198682]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Jin, Xinxin; Qian, Fengkui |
| 作者单位 | 1.Shenyang Agr Univ, Coll Land & Environm, 120 Dongling Rd, Shenyang 110866, Liaoning, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 3.Forschungszentrum Julich, Inst Bio & Geosci Agrosphere IBG 3, Wilhelm Johnen Str, D-52428 Julich, Germany 4.ARS, USDA, Grassland Soil & Water Res Lab, Temple, TX 76502 USA 5.Purdue Univ, Dept Earth Atmospher & Planetary Sci, W Lafayette, IN 47907 USA 6.Bangor Univ, Environm Ctr Wales, Sch Nat Sci, Bangor LL57 2UW, Wales |
| 推荐引用方式 GB/T 7714 | Wang, Shuai,Zhang, Xingyu,Adhikari, Kabindra,et al. Predicting soil organic carbon stocks under future land use and climate change conditions in Northeast China[J]. ENVIRONMENTAL IMPACT ASSESSMENT REVIEW,2023,103:13. |
| APA | Wang, Shuai.,Zhang, Xingyu.,Adhikari, Kabindra.,Roland, Bol.,Zhuang, Qianlai.,...&Qian, Fengkui.(2023).Predicting soil organic carbon stocks under future land use and climate change conditions in Northeast China.ENVIRONMENTAL IMPACT ASSESSMENT REVIEW,103,13. |
| MLA | Wang, Shuai,et al."Predicting soil organic carbon stocks under future land use and climate change conditions in Northeast China".ENVIRONMENTAL IMPACT ASSESSMENT REVIEW 103(2023):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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