Quantitative calculations of virtual land in Gansu Province

doi:10.7523/j.issn.2095-6134.2017.05.008

Abstract

Abstract: The virtual land calculation has not been paid enough attention.In this work,the concept of virtual land and its calculation methods were proposed and applied in Gansu Province based on the statistical analysis method and the economic and social statistical data.Results are given as follows.1) Broomcorn millet,linseed,bean,soybeans,millet,cotton,rape,hemp,tobacco,angelica,and winter wheat belong to the land intensive crops;the virtual lands of yam,spring wheat,sorghum,corn,grapes,apples,and rice are moderate;and vegetable,sugar beet,and honey melon belong to the land sparse crops.2) Virtual lands of cotton,oil crop,rice,sugar beet,grapes,and corn in Gansu Province are 5.91,5.67,1.45,0.23,1.77,and 2.10m²/kg,respectively;virtual lands of live cattle,horses,and sheep in Gansu Province are 69.28,46.68,and 48.56m²/kg,respectively;and virtual lands of beef,mutton,wool,wines,and cashmere are 197.91,115.61,693.66,76.84,and 5.39m²/kg,respectively.Virtual land has an accumulation amplification effect and increases with the product line.The order of virtual lands is:industrial products > animal products > crop products > crops.3) It is also found that virtual land of the broad-leaved forest is much larger than that of the coniferous and mixed forest and that virtual land of the natural forest is larger than that of the artificial forest.

Key words: virtual land, calculation, land intensive products, Gansu Province

CLC Number:

P954
S127

LUO Kaisheng, TAO Fulu. Quantitative calculations of virtual land in Gansu Province[J]. , 2017, 34(5): 582-590.

References

[1] 刘彦随,杨子生. 我国土地资源学研究新进展及其展望[J].2008,23(2):354-358.
[2] 伍光和, 王乃昂, 胡双熙,等. 自然地理学[M].2版.北京:高等教育出版社,2008:371-374.
[3] 刘彦随.中国土地资源研究进展与发展趋[J].中国农业生态学报,2013,21(1):127-131.
[4] 石玉林,李立贤,石竹筠. 我国土地资源利用的几个战略问题[J].自然资源学报,1989,4(2):97-100.
[5] Allan J A. Virtual water:the water, food, and trade nexus useful concept or misleading metaphor?[J]. Water International, 2003,28(1):106-113.
[6] Antonelli M, Tamea S. Food-water security and virtual water trade in the Middle East and North Africa[J]. International Journal of Water Resources Development, 2015,31(3):326-342.
[7] Jiang W, Marggraf R. Bilateral virtual water trade in agricultural products:a case study of Germany and China[J]. Water International, 2015,40(3):483-498.
[8] Karandish F, Salari S, Darzi-Naftchali A. Application of virtual water trade to evaluate cropping pattern in arid regions[J].Water Resources Management, 2015,29(11):4061-4074.
[9] Liu J.Impacts of changing cropping pattern on virtual water flows related to crops transfer:a case study for the Hetao irrigation district, China[J]. Journal of the Science of Food and Agriculture,201494(14):2992-3000.
[10] Sun S K, Wu P T, Wang Y B, et al. The virtual water content of major grain crops and virtual water flows between regions in China[J]. Journal of Science Food Agriculture,2013, 93(6):1427-1437.
[11] Hoekstra A Y, Chapagain A K. The water footprints of Morocco and the Netherlands:global water use as a result of domestic consumption of agricultural commodities[J]. Ecological Economics, 2007, 64(1):143-151.
[12] Liu J, Zehnder A J B, Yang H. Historical trends in China's virtual water trade[J]. Water International, 2007,32(1):78-90.
[13] Aldaya M M, Allan J A, Hoekstra, A Y. Strategic importance of green water in international crop trade[J]. Ecological Economics, 201069(4):887-894.
[14] Abu-Allaban M, El-Naqa A, Jaber M, et al. Water scarcity impact of climate change in semi-arid regions:a case study in Mujib basin, Jordan[J]. Arabian Journal of Geosciences, 2015, 8(2):951-959.
[15] 岸根卓郎. 《粮食经济:未来21世纪的政策》[M]. 何鉴,译.南京:南京大学出版社,1999:2-31.
[16] 罗祯礼,龙爱华,黄璜,等. 虚拟土战略与土地资源可持续利用的社会化管理[J].冰川冻土,2004, 26(5):624-629.
[17] 罗祯礼.基于虚拟土视角下区域土地资源的可持续利用管理探讨[J].国土资源导刊,2006(2):17-19.
[18] 胡宝清,杨旺彬,邵晖.虚拟土安全战略及其在县域土地可持续利用中的应用:以广西都安和田东县对比分析为例[J]. 热带地理, 2006,26(2):97-101.
[19] 曹惠敏,骆华松. 虚拟土地贸易平衡博弈分析[J].现代商贸工业,2012(7):15-16.
[20] 白玮,邱爱军,张秋平,等.黄淮海地区水土资源粮食安全价值核算[J].中国人口·资源与环境,2010,20(1):66-70.
[21] 吴国勇.基于虚拟土战略看喀斯特地区农业可持续发展[J].安徽农业科学,2010,38(11):5797-5799.
[22] 辛少翠.虚拟土地战略在优化我国土地资源管理中的作用及策略浅析[J].中国商界,2010(3):229-231.
[23] 赵姚阳,陈炬烽.中国农产品贸易中的虚拟耕地交易分析[J].长江流域资源与环境,2010,19(2):192-195.
[24] 瞿商,杨祖义.粮食安全与中国耕地关系的动态调整:基于1980-2004年中国虚拟耕地及其贸易的研究[J].当代中国史研究,2009,16(2):69-75.
[25] 成丽,方天堃,潘春玲.中国粮食贸易中虚拟耕地贸易的估算[J].中国农村经济,2008(6):25-31.
[26] 马博虎,张宝文.中国粮食对外贸易中虚拟耕地资源贸易量的估算与贡献分析[J].西北农林科技大学学报(自然科学版), 2010, 38(6):115-119.
[27] 陈伟华.中国虚拟耕地战略初步研究.长沙:湖南师范大学, 2010.
[28] 杨玉蓉,刘文杰,邹君.基于虚拟耕地方法的中国粮食生产布局诊断[J].长江流域资源与环境,2011,20(4):495-499.
[29] Wichelns D. The policy relevance of virtual water can be enhanced by considering comparative advantages[J]. Agricultural Water Management,2004,66(1):49-63.
[30] Antonelli M, Sartori M. Unfolding the potential of the virtual water concept:What is still under debate?[J]. Environmental Science Policy,2015,50:240-251.
[31] 龙爱华,徐中民,张志强.虚拟水理论方法与西北4省(区)虚拟水实证研究[J].地球科学进展,2004,19(4):577-584.
[32] 徐斌,杨秀春,金云翔,等.中国草原牧区和半牧区草畜平衡状况监测与评价[J]. 地理研究,2012,31(11):2000-2006.
[33] 姚蓝. 动植物虚拟水分析及虚拟水贸易.哈尔滨:哈尔滨工业大学,2006.
[34] 杨凤萍,胡兆永,张硕新.不同海拔油松和华山松林乔木层生物量与蓄积量的动态变化[J]. 西北农林科技大学学报(自然科学版),2014,24(3):73-78.
[35] 张翼, 郭文清,杨骏.马尾松次生林蓄积量与生物量相关性研究[J]. 湖南林业科技,2014,41(4):32-36.
[36] 郑聪慧, 贾黎明,孙操稳.华北地区栓皮栎根径相关模型及材积表研建[J]. 北京林业大学学报,2015,37(11):28-33.
[37] 罗云建,张小全, 王效科,等.森林生物量的估算方法及其研究进展[J].林业科学,2009,45(8):130-136.
[38] 薛立, 杨鹏.森林生物量研究综述[J]. 福建林学院学报,2004,24(3):284-290.
[39] 李博,杨持,林鹏. 生态学[M]. 北京:高等教育出版社, 2005.
[40] 尚玉昌. 普通生态学[M]. 北京:北京大学出版社, 2010.
[41] 程堂仁, 马钦彦, 冯仲科,等.甘肃小陇山森林生物量研究[J]. 北京林业大学学报,2007, 29(1):31-37.