Spatial distribution of agricultural production from perspective of water footprint: a case study of north-piedmont major agriculture production regions of Tianshan Mountains, Xinjiang

doi:10.7523/j.issn.2095-6134.2021.02.010

Abstract

Abstract: For the arid regions, it is necessary to implement a water-saving strategy. Water footprint strategy has been viewed as a vital countermeasure to solve the issues of grain and water security. In our research, first, the agricultural water footprint was calculated from 2000 to 2017, which presents the current actual level of agricultural development. Second, we established the regional agricultural production advantage model to explore the potential of agricultural development. Then we established the WF-APA (water footprint-agricultural production advantage) gap index to illustrate agricultural types of each county. Additionally, in order to more directly explore the matching relationship between water footprint and economy, technology, environment and resources, taking 2017 as an example, we computed the imbalance index of water footprint versus above mentioned factors. Specifically, agricultural irrigation water, cultivated land area, agricultural labor productivity, consumption of chemical fertilizers, and total power of cultivated land agricultural machinery were included. Results indicated that:1) The index of water footprint showed a large instability from 2000 to 2017, showing a spatial distribution that the total water footprint of middle counties is higher than those of eastern and western counties. 2) Regional agricultural production advantage can be divided into five types:high, relatively high, middle, low, relatively low, and general decrease in 2017. 3) Regional agricultural production can be divided into three types, which are reasonable, over-dense and over-sparse. 4) The outside fairness of the water footprint for agricultural products was found to be relatively low, suggesting that Shawan and Wusu counties were the most prominent areas. In any case, the findings of research would assist policy makers in formulating reasonable agricultural policies to guarantee food-water security and at the same time to answer for regional sustainability.

Key words: water footprint, agriculture production advantage, gap index, imbalanced index, north-piedmont major agriculture production regions of Tianshan mountains

CLC Number:

CHEN Hongxing, LI Jiangyue, YANG Degang, LI Xiaohu, CAI Tianyi, XIA Fuqiang. Spatial distribution of agricultural production from perspective of water footprint: a case study of north-piedmont major agriculture production regions of Tianshan Mountains, Xinjiang[J]. Journal of University of Chinese Academy of Sciences, 2021, 38(2): 240-251.

References

[1] 邓铭江. 中国西北"水三线"空间格局与水资源配置方略[J]. 地理学报, 2018, 73(7):1189-1203.
[2] 张元明, 陈亚宁, 张小雷. 塔里木河下游植物群落分布格局及其环境解释[J]. 地理学报,2004, 59(6):903-910.
[3] Allan J A. Fortunately there are substitutes for water:otherwise our hydropolitical futures would be impossible[C]//Priorities for water resources allocation and management. London, United Kingdom:ODA, 1993:13-26.
[4] Salmoral G, Yan X Y. Food-energy-water nexus:a life cycle analysis on virtual water and embodied energy in food consumption in the Tamar catchment[J]. Resource Conservation and Recycling, 2018, 133:320-330.
[5] Chen W M, Wu S M, Lei Y L, et al. Virtual water export and import in china's foreign trade:a quantification using input-output tables of China from 2000 to 2012[J]. Resources Conservation and Recycling, 2018, 132:278-290.
[6] Renault D. Virtual water value in food supply management[J]. Houille Blanche-Revue Internationale De L Eau, 2003(1):80-85.
[7] Hoekstra A, Chapagain A. Water footprints of nations:water use by people as a function of their consumption pattern[J]. Water Resources Management, 2007, 21(1):35-48.
[8] Mojtabavi S A, Shokoohi A, Etedali H R, et al. Using regional virtual water trade and water footprint accounting for optimizing crop patterns to mitigate water crises in dry regions[J]. Irrigation and Drainage, 2018, 67(2):295-305.
[9] 程国栋. 虚拟水:中国水资源安全战略的新思路[J]. 中国科学院院刊, 2003, 18(4):260-265.
[10] Hoekstra A Y, Hung P Q. Globalisation of water resources:international virtual water flows in relation to crop trade[J]. Global Environmental Change, 2005, 15(1):45-56.
[11] 刘宝勤, 封志明, 姚治君.虚拟水研究的理论、方法及其主要进展[J]. 资源科学, 2006,28(1):120-127.
[12] 吴兆丹, 赵敏, Upmanu L, 等.关于中国水足迹研究综述[J]. 中国人口·资源与环境, 2013, 23(11):73-80.
[13] 徐中民, 宋晓谕, 程国栋. 虚拟水战略新论[J].冰川冻土, 2013, 35(2):490-495.
[14] 尚海洋, 张志强, 王岱, 等. 虚拟水战略新论的社会经济效益分析:以石羊河流域民勤县为例[J]. 冰川冻土, 2015, 37(3):818-825.
[15] 徐中民, 龙爱华, 张志强. 虚拟水的理论方法及在甘肃省的应用[J]. 地理学报, 2003, 58(6):861-869.
[16] 曹娣, 曹文志, 陈劲松, 等. 基于水足迹理论的九龙江流域水资源评价[J]. 资源科学, 2012, 34(10):1905-1912.
[17] 杨雅雪, 赵旭, 杨井.新疆虚拟水和水足迹的核算及其影响分析[J].中国人口·资源与环境, 2015, 25(S1):228-232.
[18] 燕明达, 宋孝玉, 张卫华.重庆市主要农作物虚拟水含量计算分析[J]. 长江流域资源与环境, 2013, 22(S1):6-10.
[19] 王玉宝, 吴普特, 孙世坤, 等. 我国粮食虚拟水流动对水资源和区域经济的影响[J]. 农业机械学报, 2015, 46(10):208-215.
[20] 王晓萌, 黄凯, 杨顺顺, 等. 中国产业部门水足迹演变及其影响因素分析[J]. 自然资源学报, 2014, 29(12):2114-2126.
[21] 朱启荣, 袁其刚. 中国工业出口贸易中的灰色虚拟水及其政策含义[J]. 世界经济研究, 2014(8):42-47,53,88.
[22] 孙才志, 韩雪, 秦晓楠. 中国区际间主要农产品虚拟水流动格局稳定性[J]. 地理研究, 2014, 33(3):478-489.
[23] 邹君, 李红伟, 杨玉蓉, 等. 中国省际间农畜产品虚拟水流动合理性评价与调控研究[J]. 中国生态农业学报, 2013, 21(10):1299-1306.
[24] 韩雪, 孙才志. 中国主要农产品虚拟水流动格局形成机理研究[J]. 资源科学, 2013, 35(8):1567-1576.
[25] 南国卫, 孙虎, 宋永永. 基于虚拟水战略的黄土高原地区农业生产空间布局优化:以榆林市为例[J]. 经济地理, 2017, 37(10):197-205.
[26] 宋永永, 米文宝, 卜晓燕. 基于虚拟水战略的宁夏农业生产空间布局优化研究[J]. 农业现代化研究, 2015, 36(1):92-98.
[27] 王红瑞, 王军红. 中国畜产品的虚拟水含量[J]. 环境科学, 2006, 27(4):609-615.
[28] 张润, 刘志辉, 秦艳, 等. 新疆2000-2012年主要农作物虚拟水含量计算与分析[J]. 水土保持研究, 2015, 22(4):265-268.
[29] 贾若祥, 刘毅. 中国区域可持续发展状态及类型划分[J]. 地理研究, 2003, 22(5):609-617.
[30] 邹君. 虚拟水战略视角下的湖南水密集型产业布局优化调整研究[J]. 农业现代化研究, 2014, 35(2):213-217.
[31] 高进云, 张安录, 杨钢桥. 湖北省城镇化地域差异的实证研究[J]. 中国人口·资源与环境, 2006, 16(4):107-111.