PDF Download

[1]HUANG Haichao,LEI Ming,KONG Xiangbin,et al.Spatial Pattern Change of Cultivated Land and Response of Ecosystem Service Value in China[J].Research of Soil and Water Conservation,2022,29(01):339-348.

Copy

Spatial Pattern Change of Cultivated Land and Response of Ecosystem Service Value in China

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 29 Number of periods: 2022 01 Page number: 339-348 Column: Public date: 2022-02-20

Title:: Spatial Pattern Change of Cultivated Land and Response of Ecosystem Service Value in China

Author(s):: HUANG Haichao^1,2, LEI Ming^1,2, KONG Xiangbin^1,2, WEN Liangyou^1,2; (1.College of Land Sciences and Technology, China Agricultural University, Beijing 100193, China; 2.Key Laboratory for Farmland Quality, Monitoring and Control, Ministry of Natural Resources, Beijing 100193, China)

Keywords:: spatial pattern of cultivated land; ecosystem service value of cultivated land; ecological improvement of cultivated land

CLC:: F323.21

DOI:: -

Abstract:: It is of great theoretical and practical significance to study the impact of the change of cultivated land spatial pattern on the supply capacity of cultivated land ecosystem services, which can provide scientific reference for the optimization of cultivated land spatial pattern and the protection of cultivated land ecology in China. Previous studies lacked comprehensive research on the dynamic change of cultivated land ecosystem service supply capacity in China. Based on the in-depth analysis of the spatial pattern change of cultivated land, we constructed the spatiotemporal heterogeneity evaluation model of cultivated land ecosystem services in China at patch scale, evaluated the service value of cultivated land ecosystem in China from 2000 to 2015, and explored the evolution law of the supply capacity of cultivated land ecosystem services in China. The results show that:(1)from 2000 to 2015, the gravity center of cultivated land continued to move to the northwest, while the gravity center of paddy field and dry land moved to the northwest and northeast, respectively; the dry land increased continuously in arid and semi-arid areas of north China, the paddy field increased continuously in Northeast Plain, and the cultivated land decreased continuously in other agricultural areas.(2)from 2000 to 2015, the total value of cultivated land ecosystem services and the value of cultivated land ecosystem services per unit area decreased by 1.35% and 0.55%, respectively; the total value of cultivated land supply services and the value of cultivated land supply services per unit area increased, the total value and unit area value of regulatory services, support services and cultural services decreased;(3)the spatial differentiation of cultivated land ecosystem service value change in China was obvious; the total ecosystem service value of cultivated land in arid and semi-arid areas of northern China and Northeast Plain increased, but the ecosystem service value of cultivated land per hectare decreased; the total value of cultivated land ecosystem services and the value of cultivated land ecosystem services per unit area decreased in the Qinghai-Tibet Plateau; the total value of cultivated land ecosystem services in other agricultural areas decreased, while the value of cultivated land ecosystem services per unit area increased. the supply capacity of cultivated land ecosystem services should be effectively improved through optimizing spatial pattern of cultivated land, accurately implementing the strategy of cultivated land recuperation and establishing ecological protection compensation mechanism.

References:: [1] 傅伯杰,陈利顶,马克明.黄土丘陵区小流域土地利用变化对生态环境的影响:以延安市羊圈沟流域为例[J].地理学报,1999,54(3):51-56.
[2] 苏锐清,曹银贵.中国耕地利用变化的研究方法分析:立足驱动与模拟研究[J].中国农业资源与区划,2019,40(6):96-105.
[3] 封永刚,彭珏,邓宗兵,等.面源污染、碳排放双重视角下中国耕地利用效率的时空分异[J].中国人口·资源与环境,2015,25(8):18-25.
[4] Kong X B. China must protect high--quality arable land:Figures from a national survey of land use seem positive, but the effort exposed some worrying trends[J]. Nature, 2014,505(7486):7-8.
[5] 陈万旭,李江风,曾杰,等.中国土地利用变化生态环境效应的空间分异性与形成机理[J].地理研究,2019,38(9):2173-2187.
[6] 关兴良,方创琳,鲁莎莎.中国耕地变化的空间格局与重心曲线动态分析[J].自然资源学报,2010,25(12):1997-2006.
[7] 高晓雨,程维明,王楠,等.基于地貌分区的1990—2015年中国耕地时空特征变化分析[J]. 地理学报:英文版, 2019,29(2):180-196.
[8] 刘纪远,刘明亮,庄大方,等.中国近期土地利用变化的空间格局分析[J].中国科学D辑,2002,32(12):1031-1040.
[9] 刘纪远,匡文慧,张增祥,等.20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J].地理学报,2014,69(1):3-14.
[10] 刘纪远,宁佳,匡文慧,等.2010—2015年中国土地利用变化的时空格局与新特征[J].地理学报,2018,73(5):789-802.
[11] 戈大专,龙花楼,杨忍.中国耕地利用转型格局及驱动因素研究:基于人均耕地面积视角[J].资源科学,2018,40(2):273-283.
[12] Deng X Z, Huang J K, Rozelle S, et al. Impact of urbanization on cultivated land changes in China[J]. Land Use Policy, 2015,45:1-7.
[13] 佘国强.湖南省耕地变化特点、驱动力及可持续利用研究[J].中国农业资源与区划,2005,26(1):15-18.
[14] 金贵,邓祥征,陈冬冬,等.黄淮海平原农地流转空间分布与格局特征[J].资源科学,2016,38(8):1515-1524.
[15] 于伯华,吕昌河.城市边缘区耕地面积变化时空特征及其驱动机制:以北京市顺义区为例[J].地理科学,2008,28(3):348-353.
[16] 张秋菊,傅伯杰,陈利顶,等.黄土丘陵沟壑区县域耕地变化驱动要素研究:以安塞县为例[J].水土保持学报,2003,17(4):146-148.
[17] 熊华,刘耀林,车珊珊,等.基于支持向量机的土地利用变化模拟模型[J].武汉大学学报:信息科学版,2009,34(3):366-369.
[18] 周锐,苏海龙,王新军,等.基于CLUE-S模型和Markov模型的城镇土地利用变化模拟预测:以江苏省常熟市辛庄镇为例[J].资源科学,2011,33(12):2262-2270.
[19] 刘欣,赵艳霞,冯晓淼,等.基于CLUE-S模型的多目标土地利用格局模拟与优化:以河北省廊坊市北三县为例[J].地理与地理信息科学,2018,34(5):92-98.
[20] 李圆圆,谈明洪,张红旗.中国耕地空间格局变化对粮食生产的影响[J].中国工程科学,2018,20(5):90-95.
[21] 石瑞香,杨小唤.中国耕地变化区的气候背景对比分析[J].地球信息科学学报,2010,12(3):309-314.
[22] Song W, Liu M L. Farmland conversion decreases regional and national land quality in China[J]. Land Degradation & Development, 2016,28(2):459-471.
[23] 陈紫璇,陈云浩,雷添杰.中国耕地变化及耕地与水资源的匹配研究[J].水利水电技术,2019,50(2):69-78.
[24] 田光进,张增祥,赵晓丽,等.中国耕地土壤侵蚀空间分布特征及生态背景[J].生态学报,2002,22(1):10-16.
[25] 薛明皋,邢路,王晓艳.中国土地生态系统服务当量因子空间修正及价值评估[J].中国土地科学,2018,32(9):81-88.
[26] Song W, Deng X Z. Land-use/land-cover change and ecosystem service provision in China[J]. Science of the Total Environment, 2017,576:705-719.
[27] 史洋洋,吕晓,黄贤金,等.江苏沿海地区耕地利用转型及其生态系统服务价值变化响应[J].自然资源学报,2017,32(6):961-976.
[28] 李圆圆,谈明洪,张红旗.中国耕地空间格局变化对粮食生产的影响[J].中国工程科学,2018,20(5):90-95.
[29] He C Y, Liu Z F, Xu M, et al. Urban expansion brought stress to food security in China:Evidence from decreased cropland net primary productivity[J]. the Science of the Total Environment, 2017,576:660-670.
[30] Chen Q M, Liu Y J, Ge Q S, et al. Impacts of historic climate variability and land use change on winter wheat climatic productivity in the North China Plain during 1980—2010[J]. Land Use Policy, 2018,76:1-9.
[31] Deng X Z, Huang J K, Rozelle S, et al. Cultivated land conversion and potential agricultural productivity in China[J]. Land Use Policy, 2005,23(4):372-384.
[32] 李圆圆,谈明洪,郝海广.1992—2015年全球耕地变化对陆地生态系统服务价值的影响[J]. 地理学报:英文版, 2019,29(3):323-333.
[33] 刘桂林,张落成,张倩.长三角地区土地利用时空变化对生态系统服务价值的影响[J].生态学报,2014,34(12):3311-3319.
[34] 谢高地,张彩霞,张昌顺,等.中国生态系统服务的价值[J].资源科学,2015,37(9):1740-1746.
[35] 谢高地,甄霖,鲁春霞,等.一个基于专家知识的生态系统服务价值化方法[J].自然资源学报,2008,23(5):911-919.
[36] 吴凯,顾晋饴,何宏谋,等.基于重心模型的丘陵山地区耕地利用转换时空特征研究[J].农业工程学报,2019,35(7):247-254.
[37] Li G D, Fang C L, Wang S J. Exploring spatiotemporal changes in ecosystem-service values and hotspots in China[J]. Science of the Total Environment, 2016,545:609-620.

Similar References:

Memo

Last Update: 2022-02-20