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[1]YANG Yuanzhi,CHEN Yunchun,LIAO Lijun,et al.Characteristics of Spatial Distribution of Arable Land Grade in Southwest China[J].Research of Soil and Water Conservation,2020,27(06):226-232.

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Characteristics of Spatial Distribution of Arable Land Grade in Southwest China

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 27 Number of periods: 2020 06 Page number: 226-232 Column: 目次 Public date: 2020-10-20

Title:: Characteristics of Spatial Distribution of Arable Land Grade in Southwest China

Author(s):: YANG Yuanzhi^1,2, CHEN Yunchun³, LIAO Lijun³, ZENG Weijun³, LIU Weijia², XIANG Donglei^1,3, LI Jianhua³; (1.Engineering Research Center of Science and Technology of Land and Resources, Yunnan Agricultural University, Kunming 605201, China; 2.College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China; 3.College of Water Resources, Yunnan Agricultural University, Kunming 605201, China)

Keywords:: land use; quality of arable land; spatial distribution; southwest region; local autocorrelation

CLC:: F301.21

DOI:: -

Abstract:: In order to meet the demand of arable land quality management, based on the annual updated data of 5 provinces in southwest China, we analyzed the characteristics of spatial distribution of arable land in southwest China by using the area weighted average method, ArcGIS spatial autocorrelation method and mathematical statistics. The results show that:(1)the average grades of arable land in southwest China are 9.85, 9.86 and 9.80, respectively, and the arable land quality as a whole is medium and low;(2)there are significant differences in arable lands in the southwest region; the average grade of the three indicators in Guangxi Autonomous region is below 8.5; the highest utilization rate in Sichuan Province is 8.25; the average level of the three types of indicators in Chongqing City is between 9 and 10, 10—11 for Yunnan Province; the land quality in Guizhou Province was worst with an average of 11—12;(3)the distribution characteristics of the three types of intercity were matched with the autocorrelation analysis results, which were mostly clustered together in contiguous patches and clusters; as a whole, the arable land with high quality concentrated in the cities of Jiangnan region and south China region; the average distribution tended to be within 7—8 and 8—9, matching the LL type of the autocorrelation spatial distribution; however, the arable land with poor quality mainly distributed in Hengduanshan Mountain area and the cities of the Yunnan-Guizhou Plateau area, matching with HH type; negative correlation types LH and HL had no obvious concentration region. This research can provide scientific basis for the unified planning of arable land, the protection of permanent basic farmland and the balanced management of arable land occupation and compensation.

References:: [1] 高星,陈景,刘蕾,等.雄安新区耕地质量空间分布特征与建设占用推荐分区[J].农业工程学报,2018,34(1):1-7.
[2] 徐伟铭,罗星,陈伟锋.福建省耕地等别空间分布特征研究[J].福州大学学报:自然科学版,2018,46(3):355-359.
[3] 中华人民共和国国土资源部.农用地分等规程TD/T1004-2003[S].北京:中国标准出版社,2003.
[4] 郧文聚.中国耕地等级评定与监测研究[M].北京:中国大地出版社,2010.
[5] 李林蔚,陈家赢,张依,等.基于分等系数修正的耕地质量更新评价[J].水土保持研究,2015,22(3):295-299.
[6] 汪延彬,胡燕凌,卜春燕,等.甘肃省耕地质量等别特征与空间分布研究[J].中国农业资源与区划,2017,38(11):138-144.
[7] 吴克宁,焦雪瑾,梁思源,等.基于标准样地国家级汇总的耕地质量动态监测点构架研究[J].农业工程学报,2008,24(10):74-79.
[8] 马建辉,吴克宁,赵华甫,等.基于农用地分等的耕地质量动态监测体系研究[J].中国农业资源与区划,2013,34(5):133-139.
[9] 付国珍,摆万奇.耕地质量评价研究进展及发展趋势[J].资源科学,2015,37(2):226-236.
[10] 奉婷,张凤荣,李灿,等.基于耕地质量综合评价的县域基本农田空间布局[J].农业工程学报,2014,30(1):200-210.
[11] 姜广辉,赵婷婷,段增强,等.北京山区耕地质量变化及未来趋势模拟[J].农业工程学报,2010,26(10):304-311.
[12] 陈朝,吕昌河.基于综合指数的湖北省耕地质量变化分析[J].自然资源学报,2010,25(12):2018-2029.
[13] 吴大放,刘艳艳,刘毅华,等.耕地生态安全评价研究展望[J].中国生态农业学报,2015,23(3):257-267.
[14] 程锋,王洪波,郧文聚.中国耕地质量等级调查与评定[J].中国土地科学,2014,28(2):75-84.
[15] 王洪波,程锋,张中帆,等.中国耕地等别分异特性及其对耕地保护的影响[J].农业工程学报,2011,27(11):1-8.
[16] 司振中,李貌,邱维理,等.中国耕地资源的区域差异与保护问题[J].自然资源学报,2010,25(5):713-721.
[17] 孔祥斌,张青璞.中国西部区耕地等别空间分布特征[J].农业工程学报,2012,28(22):1-7.
[18] 张志雷,孔祥斌,张青璞.京津冀鲁地区耕地等别空间分布特征研究[J].农业工程学报,2018,34(S1):230-237.
[19] 张耿杰,刘淑霞,曾维军,等.云南省耕地利用等别与生态环境空间分布特征[J].水土保持研究,2016,23(2):275-279.
[20] 张青璞,孔祥斌,郧文聚,等.重庆市国家级农用地分等汇总前后等别分布规律[J].农业工程学报,2010,26(10):297-303.
[21] 任奎,周生路,张红富,等.江苏农用地资源质量空间格局及影响机制研究[J].农业工程学报,2008,24(4):127-134.
[22] 李艳华,许月卿,郭洪峰.西部生态脆弱区典型县域农用地质量等别对比研究[J].干旱区资源与环境,2013,27(8):14-20.
[23] 郭晓飞,李建华,李成学,等.基于多尺度的祥云县县域耕地自然质量空间分布特征分析[J].云南农业大学学报:自然科学版,2016,31(5):923-929.
[24] 李鹏山,杜振博,张超,等.京津冀地区耕地质量等别空间差异分析[J].农业机械学报,2017,48(2):150-157.
[25] 祖健,张蚌蚌,孔祥斌.西南山地丘陵区耕地细碎化特征及其利用效率:以贵州省草海村为例[J].中国农业大学学报,2016,21(1):104-113.
[26] 王凤娇,杨延征,上官周平.西北五省(区)耕地质量等别差异性比较[J].干旱地区农业研,2015,33(2):230-236.
[27] 卫新东,王筛妮,员学锋,等.陕西省耕地质量时空变化特征及其分异规律[J].农业工程学报,2018,34(3):240-248.
[28] 王守坤.空间计量模型中权重矩阵的类型与选择[J].经济数学,2013,30(3):57-63.

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Last Update: 2020-10-20