PDF Download

[1]YANG Yi,GAO Huaduan,WANG Qun,et al.Study on the Distribution Characteristics of Sloping Farmland in Karst Mountain Area Under the Influence of Multiple Factors[J].Research of Soil and Water Conservation,2022,29(01):361-367.

Copy

Study on the Distribution Characteristics of Sloping Farmland in Karst Mountain Area Under the Influence of Multiple Factors

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 29 Number of periods: 2022 01 Page number: 361-367 Column: Public date: 2022-02-20

Title:: Study on the Distribution Characteristics of Sloping Farmland in Karst Mountain Area Under the Influence of Multiple Factors

Author(s):: YANG Yi, GAO Huaduan, WANG Qun, LI Xiaosong; (College of Forestry, Guizhou University, Guiyang 550025, China)

Keywords:: sloping farmland; lithology; soil type; slope position; residential areas

CLC:: F323.21

DOI:: -

Abstract:: In order to study the distribution characteristics of sloping cultivated land in karst mountainous areas under the influence of lithology, soil type, slope position and residential area, and to provide reference for regional soil erosion control, we took Huaxi District, Guiyang City, Guizhou Province as the research objects. High-definition image maps, elevation maps(DEM), geological maps and soil type maps in Huaxi District were used as the main data sources. Based on its spatial superposition analysis, mathematical statistics and other functions, we analyzed the distribution characteristics of sloping cultivated land in karst mountainous areas under the influence of multiple factors by using ArcGIS 10.2 platform. The results showed that the sloping farmland area accounted for 21.07% of the total area of Huaxi District, accounting for 63.85% of the total area of cultivated land, the farmland was the main type of cultivated land in Huaxi District; In each lithology category, the distribution area of sloping farmland decrased in the order: limestone>dolomite>common sandy shale>purple stone area, in which the distribution of common sandy shale area and limestone area concentrated and connected, the distribution of dolomite area and purple stone area scattered; the area of each soil type in the sloping farmland decreased in the order: paddy soil>yellow soil>limestone soil>purple soil>alluvial soil, in which the yellow soil was the most concentrated contigous, paddy soil was more dispersed; the area of sloping cultivated land in different slope positions decreased in the order: downslope>middle breaking>uphill, the sloping cultivated land most concentrated and connected in downslope region, and most scattered in the uphill region; at the same time, there was the significant correlation between the spatial distribution of sloping farmland and residential land; the farther the distance from residential land was, the sparser the distribution of slope farmland was. In conclusion, under the joint action of multiple factors, the sloping cultivated land in Huaxi district presented a spatial pattern of ‘more in the west and less in the east', and the contiguous sloping cultivated land on the common sandy shale formation and limestone formation should be given priority to governance.

References:: [1] Xie Y, Lin H, Ye Y, et al. Changes in soil erosion in cropland in northeastern China over the past 300 years[J]. Catena, 2019,176(1):410-418.
[2] 陈正发,史东梅,何伟.1980—2015年云南坡耕地资源时空分布及演变特征分析[J].农业工程学报,2019,35(15):256-265.
[3] 苏锐清,曹银贵,王文旭,等.京津冀潮白河区域2001—2017年耕地利用变化时空特征分析[J].农业资源与环境学报,2020,37(4):574-582.
[4] 满卫东,王宗明,刘明月,等.1990—2013年东北地区耕地时空变化遥感分析[J].农业工程学报,2016,32(7):1-10.
[5] 王佑辉,张敬岳.湖北省耕地资源动态变化驱动力分析[J].统计与决策,2014,29(16):96-99.
[6] 王静怡,李晓明.近20年中国耕地数量变化趋势及其驱动因子分析[J].中国农业资源与区划,2019,40(8):171-176.
[7] 王晶晶,孙玲,王志明,等.基于GF-2影像的江苏耕地破碎地区景观格局空间粒度效应分析[J].江苏农业学报,2020,36(3):606-612.
[8] 蔡汉,朱权,罗云建,等.快速城镇化地区耕地景观生态安全格局演变特征及其驱动机制[J].南京林业大学学报:自然科学版,2020,44(5):181-188.
[9] 赵小娟,叶云,周晋皓,等.珠三角丘陵区耕地质量综合评价及指标权重敏感性分析[J].农业工程学报,2017,33(8):226-235.
[10] 牛善栋,方斌.中国耕地保护制度70年:历史嬗变、现实探源及路径优化[J].中国土地科学,2019,33(10):1-12.
[11] 王军,李萍,詹韵秋,等.中国耕地质量保护与提升问题研究[J].中国人口·资源与环境,2019,29(4):87-93.
[12] 史东梅.基于RUSLE模型的紫色丘陵区坡耕地水土保持研究[J].水土保持学报,2010,24(3):39-44,251.
[13] 耿韧,张光辉,洪大林,等.我国水蚀区坡耕地土壤分离能力的空间分布与影响因素[J].水土保持学报,2020,34(3):156-161.
[14] 王权,李阳兵,胡先培,等.岩溶槽谷区坡耕地利用的时空演变特征及驱动机制[J].生态与农村环境学报,2020,36(1):53-61.
[15] 张喜.贵州喀斯特山地坡耕地立地影响因素及分区[J].南京林业大学学报:自然科学版,2003,27(6):98-102.
[16] 袁淑杰,谷晓平,缪启龙,等.基于DEM的复杂地形下平均气温分布式模拟研究:以贵州高原为例[J].自然资源学报,2010,25(5):859-867.
[17] 杨青,杨广斌,赵青松,等.喀斯特地区不同降雨和植被覆盖的坡面产流产沙特征[J].水土保持通报,2020,40(1):9-16.
[18] 严友进,戴全厚,伏文兵,等.喀斯特坡地土壤地下侵蚀模拟试验研究[J].水土保持学报,2015,29(6):7-13.
[19] 甘彩红.基于耕地与聚落空间耦合的库区腹地人地关系研究[D].重庆:重庆师范大学,2015.
[20] Qian F K, Chi Y R, Rattan Lal. Spatiotemporal characteristics analysis of multifunctional cultivated land:A case-study in Shenyang, Northeast China[J]. Land Degradation & Development, 2020,31(14):1812-1822.
[21] 甘彩红,李阳兵,陈萌萌.基于坡耕地与聚落空间耦合的三峡库区腹地奉节县人地关系研究[J].地理研究,2015,34(7):1259-1269.

Similar References:

Memo

Last Update: 2022-02-20