Spatial Pattern of Low-benefit Conversion of Cultivated Land in China from 2000 to 2010

ZHANG Bing-qi, GUO Jing, YU Xi, LI Qiang, CHEN Jin

JOURNAL OF NATURAL RESOURCES ›› 2018, Vol. 33 ›› Issue (7) : 1230-1243.

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JOURNAL OF NATURAL RESOURCES ›› 2018, Vol. 33 ›› Issue (7) : 1230-1243. DOI: 10.31497/zrzyxb.20170940
Resource Evaluation

Spatial Pattern of Low-benefit Conversion of Cultivated Land in China from 2000 to 2010

  • ZHANG Bing-qi1,2, GUO Jing1,3, YU Xi1, LI Qiang1, CHEN Jin1
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Abstract

The conversion from cultivated land to another land use type with relatively low benefit has multiple effects on food security and ecological system. To reveal the spatial patterns of this conversion among the first decade of the 21st century in China, in this paper, the conversion from cultivated land to grassland, shrub land and bare land was firstly defined as “low-benefit conversion of cultivated land”. Then, this kind of low-benefit converted land in China from 2000 to 2010 was extracted based on GlobeLand30 and the low-benefit conversion of cultivated land at the patch and county scale was mapped. The proportionality, regional difference and aggregation of spatial distribution were analyzed by multiple approaches and the effects of terrain conditions on low-benefit conversion and the relationship between 2000's original proportion of cultivated land and low-benefit conversion were revealed. The results showed that: 1) The low-benefit conversion rate of cultivated land was only 1.5% for the whole country, but the spatial distribution was very disproportion. At the county scale, more than 70% of the low-benefit conversion occurred in only 16 out of the 2 365 counties and the cultivated land area of these 16 counties accounted for less than 20% of that of the whole country. 2) The regional differentiation of low-benefit conversion showed close relationship with the three terrain ladders in China: regions on the second step particularly in the agro-pastoral transition zones suffered the most serious low-benefit conversion problem of cultivated land; in the Qinghai-Tibet Plateau, counties with very high low-benefit conversion rate and counties with very low rate alternated with one and another; for cultivated land on the third step, the low-benefit conversion rate was very low, but there were still a few high low-benefit conversion clusters in Liaodong Peninsula, Zhejiang and Guangdong coastal areas. 3) For the whole country, the low-benefit conversion rate of cultivated land increases as the altitude increases, and so do regions in which the slope is smaller than 15°, but circumstances when the slope is bigger than 15°are complex. 4) The impact of low-benefit cultivated land conversion on agricultural development depends on local farmland resource endowments. Land use efficiency of the main agricultural areas in China was higher as results showed that low-benefit conversion rate in these areas is low; although in some areas in the Qinghai-Tibet Plateau and the northern Inner Mongolia, the low-benefit conversion rate was very high, the proportion of cultivated land is small, which will not cause large-scale low-benefit conversion of cultivated land. Indeed, counties of which the low-benefit conversion rate and the proportion of cultivated land are both at medium or high levels, should be considered as areas with serious low-benefit conversion problems so as to be paid high attention.

Key words

GlobeLand30 / low-benefit conversion of cultivated land / spatial pattern / topography

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ZHANG Bing-qi, GUO Jing, YU Xi, LI Qiang, CHEN Jin. Spatial Pattern of Low-benefit Conversion of Cultivated Land in China from 2000 to 2010[J]. JOURNAL OF NATURAL RESOURCES, 2018, 33(7): 1230-1243 https://doi.org/10.31497/zrzyxb.20170940

References

[1] WANG J Y, LIU Y S, LIU Z G.Spatio-temporal patterns of cropland conversion in response to the “Grain for Green Project” in China’s loess hilly region of Yanchuan County[J]. Remote Sensing, 2013, 5(11): 5642-5661.
[2] WANG C, GAO Q, WANG X, et al.Spatially differentiated trends in urbanization, agricultural land abandonment and reclamation, and woodland recovery in northern China[J]. Scientific Reports, 2016, 6: 1-12.
[3] ZHANG Y, LI X B, SONG W, et al.Land abandonment under rural restructuring in China explained from a cost-benefit perspective[J]. Journal of Rural Studies, 2016, 47: 524-532.
[4] 李升发, 李秀彬. 耕地撂荒研究进展与展望[J]. 地理学报, 2016, 71(3): 370-389.
[LI S F, LI X B.Progress and prospect on farmland abandonment. Acta Geographica Sinica, 2016, 71(3): 370-389. ]
[5] ZHANG J T.Succession analysis of plant communities in abandoned croplands in the eastern Loess Plateau of China[J]. Journal of Arid Environments, 2005, 63(2): 458-474.
[6] LASANTA T, ARNÁEZ J, PASCUAL N, et al. Space-time process and drivers of land abandonment in Europe[J]. Catena, 2016, 149: 810-823.
[7] MACDONALD D, CRABTREE J R, WIESINGER G, et al.Agricultural abandonment in mountain areas of Europe: Environmental consequences and policy response[J]. Journal of Environmental Management, 2000, 59(1): 47-69.
[8] 张孝宇, 谢新朋, 张安录. 武汉市耕地非农化的空间非均衡发展与空间扩散路径分析[J]. 自然资源学报, 2014, 29(10): 1649-1659.
[ZHANG X Y, XIE X P, ZHANG A L.Spatial unbalanced development and diffusion route of farmland conversion in Wuhan City. Journal of Natural Resources, 2014, 29(10): 1649-2659. ]
[9] WEISSTEINER C J, BOSCHETTI M, BÖTTCHER K, et al. Spatial explicit assessment of rural land abandonment in the Mediterranean area[J]. Global and Planetary Change, 2011, 79(1/2): 20-36.
[10] GELLRICH M, ZIMMERMANN N E.Investigating the regional-scale pattern of agricultural land abandonment in the Swiss mountains: A spatial statistical modelling approach[J]. Landscape and Urban Planning, 2007, 79(1): 65-76.
[11] 史铁丑, 李秀彬. 欧洲耕地撂荒研究及对我国的启示[J]. 地理与地理信息科学, 2013, 29(3): 101-103.
[SHI T C, LI X B.Farmland abandonment in Europe and its enlightenment to China. Geography and Geo-Information Science, 2013, 29(3): 101-103. ]
[12] PAZÚR R, LIESKOVSKÝ J, FERANEC J, et al. Spatial determinants of abandonment of large-scale arable lands and managed grasslands in Slovakia during the periods of post-socialist transition and European Union accession[J]. Applied Geography, 2014, 54: 118-128.
[13] HATNA E, BAKKER M M.Abandonment and expansion of arable land in Europe[J]. Ecosystems, 2011, 14(5): 720-731.
[14] LIESKOVSKÝ J, BEZÁK P, ŠPULEROVÁ J, et al. The abandonment of traditional agricultural landscape in Slovakia—Analysis of extent and driving forces[J]. Journal of Rural Studies, 2015, 37: 75-84.
[15] 郝润梅, 马玲玲. 关于内蒙古半干旱地区弃耕的思考——以和林格尔县为例[J]. 中国土地科学, 2014, 28(10): 48-54.
[HAO R M, MA L L.Discussion on the farmland abandonment in the semiarid area in Inner Mongolia: A case study of Hollinger County. China Land Sciences, 2014, 28(10): 48-54. ]
[16] 陈军, 陈晋, 廖安平, 等. 全球30 m地表覆盖遥感制图的总体技术[J]. 测绘学报, 2014, 43(6): 551-557.
[CHEN J, CHEN J, LIAO A P, et.al. Concepts and key techniques for 30 m global land cover mapping. Acta Geodaeticaet Cartographica Sinica, 2014, 43(6): 551-557. ]
[17] CHEN J, CHEN J, LIAO A P, et al.Global land cover mapping at 30 m resolution: A POK-based operational approach[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 103: 7-27.
[18] 陈军, 陈利军, 李然, 等. 基于GlobeLand30的全球城乡建设用地空间分布与变化统计分析[J]. 测绘学报, 2015, 44(11): 1181-1188.
[CHEN J, CHEN L J, LI R, et al.Spatial distribution and ten years change of global built-up areas derived from GlobeLand30. Acta Geodaeticaet Cartographica Sinica, 2015, 44(11): 1181-1188. ]
[19] BROVELLI M A, MOLINARI M E, HUSSEIN E, et al.The first comprehensive accuracy assessment of GlobeLand30 at a national level: Methodology and results[J]. Remote Sensing, 2015, 7(4): 4191-4212.
[20] TANGO T.Statistical Methods for Disease Clustering[M]. New York: Springer, 2010.
[21] 靳圆圆, 王微, 闫慈, 等. 扫描统计与空间子相关分析在新疆结核聚集性研究中的应用[J]. 现代预防医学, 2016, 43(7): 1156-1161.
[JIN Y Y, WANG W, YAN C, et al. Application of space-time scanning in tuberculosis studies, Xinjiang. Modern Preventive Medicine, 2016, 43(7): 1156-1161. ]
[22] 宁岸新, 秦艳. 洛伦兹曲线在新疆生产建设兵团土地利用结构分析中的应用[J]. 安徽农业科学, 2013, 41(11): 5058-5061.
[NING A X, QIN Y.Using Lorenz Curve to analyze land use structure in Xinjiang Production and Construction Corps. Journal of Anhui Agricultural Sciences, 2013, 41(11): 5058-5061. ]
[23] 赵乐, 朱建玲, 刘南, 等. 浙江东部沿海城市建设用地空间结构分析[J]. 经济地理, 2010, 30(3): 494-500.
[ZHAO L, ZHU J L, LIU N, et al.Analysis of spatial structure of urban land for construction in eastern coastal of Zhejiang Province. Economic Geography, 2010, 30(3): 494-500. ]
[24] THEIL H.Economics and Information Theory[M]. Amsterdam: North-Holland, 1967.
[25] 刘丽军, 宋敏, 屈宝香. 中国耕地非农化的区域差异及其收敛性[J]. 资源科学, 2009, 31(1): 116-122.
[LIU L J, SONG M, QU B X.Regional difference and regional convergence of cultivated land conversion in China. Resources Science, 2009, 31(1): 116-122. ]
[26] 房世波, 杨武年. 川西地区退耕还林(草)成效调查与再决策[J]. 水土保持通报, 2006, 26(6): 103-106.
[FANG S B, YANG W N.Investigation of returning farmland to forest or grass land and decision remaking for reforestation. Bulletin of Soil and Water Conservation, 2006, 26(6): 103-106. ]

Funding

National Key Research and Development Program of China, No. 2017YFD0300201
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