Water for maize for pigs for pork: An analysis of inter-provincial trade in China
文献类型:期刊论文
作者 | Zhuo, La1,2; Liu, Yilin1; Yang, Hong3,4; Hoekstra, Arjen Y.5,9; Liu, Wenfeng3,6; Cao, Xinchun7; Wang, Mengru8; Wu, Pute1,2 |
刊名 | WATER RESEARCH |
出版日期 | 2019-12-01 |
卷号 | 166页码:15 |
ISSN号 | 0043-1354 |
关键词 | Pork Maize Supply chain Water footprint Virtual water trade |
DOI | 10.1016/j.watres.2019.115074 |
通讯作者 | Zhuo, La(zhuola@nwafu.edu.cn) ; Wu, Pute(gjzwpt@vip.sina.com) |
英文摘要 | Trade in commodities implies trade in virtual water (VW), which refers to the water that was used to produce the traded goods. Various studies have quantified international or inter-provincial virtual water (VW) flows related to the trade in crops and animal products. Until date, however, no effort has been undertaken to understand how the water embodied in traded feed crops (trade stage TS1) will be transferred further because of trade in animal products (trade stage TS2). This is the first study showing this mechanism, in a case study in China for maize (the major pig feed) and pork (the dominant meat), considering the period 2000-2013. We estimate the annual green and blue water footprints in maize production and then quantify the inter-provincial VW flows related to trade in maize (TS1) and trade in maize embodied in pork (TS2). Results show that in TS1, maize-related VW flowed from the water-scarce North to the water-rich South, with an increase of 40% over the study period (from 43 to 61 billion m 3 y(-1)). In TS2, about 10% of the water embodied in maize exports from North to South China returns in the form of pork, with an increase in the absolute amount of 25% (from 4.8 to 6.1 billion m 3 y(-1)). Considering blue VW flows specifically, we find that North-to-South blue VW flows decreased by 5% in TS1, while South-to-North blue VW flows increased by 23% in TS2. (C) 2019 The Authors. Published by Elsevier Ltd. |
WOS关键词 | SIMULATE YIELD RESPONSE ; FAO CROP MODEL ; FOOTPRINT REDUCTION ; BLUE ; TRANSFERS ; NITROGEN ; GREEN ; AGRICULTURE ; ALLEVIATION ; SCARCITY |
资助项目 | National Key Research and Development Plan[2018YFF0215702] ; National Natural Science Foundation of China[51809215] ; Natural Science Foundation of Shaanxi Province[2018JQ4020] ; West Light Talent Program of the Chinese Academy of Sciences[XAB20171303] ; 111 Project[B12007] |
WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Water Resources |
语种 | 英语 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
WOS记录号 | WOS:000493221600030 |
资助机构 | National Key Research and Development Plan ; National Natural Science Foundation of China ; Natural Science Foundation of Shaanxi Province ; West Light Talent Program of the Chinese Academy of Sciences ; 111 Project |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/131824] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Zhuo, La; Wu, Pute |
作者单位 | 1.Northwest A&F Univ, Yangling 712100, Shaanxi, Peoples R China 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 3.Eawag, Swiss Fed Inst Aquat Sci & Technol, CH-8600 Dubendorf, Switzerland 4.Univ Basel, MGU, Dept Environm Sci, CH-4003 Basel, Switzerland 5.Univ Twente, Twente Water Ctr, POB 277, NL-7500 AE Enschede, Netherlands 6.Univ Paris Saclay, CEA CNRS UVSQ, LSCE IPSL, Lab Sci Climat & Environm,LSCE IPSL, F-91191 Gif Sur Yvette, France 7.Hohai Univ, Nanjing 210098, Jiangsu, Peoples R China 8.Wageningen Univ & Res, Water Syst & Global Change Grp, NL-6708 PB Wageningen, Netherlands 9.Natl Univ Singapore, Lee Kuan Yew Sch Publ Policy, Inst Water Policy, Singapore 259770, Singapore |
推荐引用方式 GB/T 7714 | Zhuo, La,Liu, Yilin,Yang, Hong,et al. Water for maize for pigs for pork: An analysis of inter-provincial trade in China[J]. WATER RESEARCH,2019,166:15. |
APA | Zhuo, La.,Liu, Yilin.,Yang, Hong.,Hoekstra, Arjen Y..,Liu, Wenfeng.,...&Wu, Pute.(2019).Water for maize for pigs for pork: An analysis of inter-provincial trade in China.WATER RESEARCH,166,15. |
MLA | Zhuo, La,et al."Water for maize for pigs for pork: An analysis of inter-provincial trade in China".WATER RESEARCH 166(2019):15. |
入库方式: OAI收割
来源:地理科学与资源研究所
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