The total suitability of water yield and carbon sequestration under multi-scenario simulations in the Weihe watershed, China | |
Zeng, Li1,2; Li, Jing1; Qin, Keyu3,4; Liu, Jingya3,4; Zhou, Zixiang5; Zhang, Yumeng1 | |
刊名 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
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2020-04-20 | |
页码 | 15 |
关键词 | Ecosystem services Bayesian belief network Scenario Land use Suitability priority area |
ISSN号 | 0944-1344 |
DOI | 10.1007/s11356-020-08205-5 |
通讯作者 | Li, Jing(lijing@snnu.edu.cn) |
英文摘要 | Global climate change and national policies play an important role in regional ecosystem services, both of which should be fully considered when exploring their effective use and management. Bayesian belief network (BBN) is often used in complicated system modelling. Using a BBN to construct a network framework of ecosystem services under climate and policy scenarios for exploring the total suitability distribution of ecosystem services is of great significance. In this study, we develop BBN for the total suitability of water yield and carbon sequestration based on hydro-biogeochemical process. And then we predict the probabilities of the total suitability in 2050 through the BBN under multi-scenario simulations accounting for climate change, birth control and carbon tax policies. Finally, total suitability priority regions are mapped, which are synergy development, water yield suitability, carbon sequestration suitability and non-suitability, respectively. Our results indicate forest, cropland, urban area, and grassland have the largest areas under the representative concentration pathway (RCP) 2.6, RCP 4.5, RCP 6.0 and RCP 8.5, respectively. The abolition of the one-child policy has led to a significant expansion of urban areas, and the implementation of the carbon tax policy has greatly increased forest areas. Additionally, temperature, Normalized Vegetation Index (NDVI), precipitation and land use are the key driving factors that influence suitability. The suitable priority regions of different alternatives help policy makers consider ecological protection priorities while addressing management options. |
资助项目 | National Natural Science Foundation of China[41771198] ; National Natural Science Foundation of China[41771576] ; NSFCNRF Scientific Cooperation Program[41811540400] ; Natural Science Basic Research Plan in Shaanxi Province of China[2018JM4010] ; Fundamental Research Funds for the Central Universities, Shaanxi Normal University[GK201901009] |
WOS关键词 | BAYESIAN BELIEF NETWORK ; ECOSYSTEM SERVICES ; TRADE-OFFS ; SPATIOTEMPORAL FEATURES ; LOESS PLATEAU ; LAND ; DYNAMICS ; CYCLES ; FLUXES ; FLOWS |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | SPRINGER HEIDELBERG |
WOS记录号 | WOS:000527523900003 |
资助机构 | National Natural Science Foundation of China ; NSFCNRF Scientific Cooperation Program ; Natural Science Basic Research Plan in Shaanxi Province of China ; Fundamental Research Funds for the Central Universities, Shaanxi Normal University |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/159876] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Li, Jing |
作者单位 | 1.Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Peoples R China 2.Sun Yat Sen Univ, Guangdong Prov Key Lab Urbanizat & Geosimulat, Sch Geog & Planning, Guangzhou 510275, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Xian Univ Sci & Technol, Coll Geomat, Xian 710119, Peoples R China |
推荐引用方式 GB/T 7714 | Zeng, Li,Li, Jing,Qin, Keyu,et al. The total suitability of water yield and carbon sequestration under multi-scenario simulations in the Weihe watershed, China[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2020:15. |
APA | Zeng, Li,Li, Jing,Qin, Keyu,Liu, Jingya,Zhou, Zixiang,&Zhang, Yumeng.(2020).The total suitability of water yield and carbon sequestration under multi-scenario simulations in the Weihe watershed, China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,15. |
MLA | Zeng, Li,et al."The total suitability of water yield and carbon sequestration under multi-scenario simulations in the Weihe watershed, China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2020):15. |
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