必须声明标量变量 "@Script_ID"。 省域尺度耕地质量监测样点布控——以陕西省为例-《地球科学与环境学报》
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[1]卫新东,王 宁,王筛妮*,等.省域尺度耕地质量监测样点布控——以陕西省为例[J].地球科学与环境学报,2021,43(03):549-558.[doi:10.19814/j.jese.2021.01030]
 WEI Xin-dong,WANG Ning,WANG Shai-ni*,et al.Establishment of Sampling Points for Quality Monitoring of Arable Land at Provincial Scale—A Case Study of Shaanxi Province[J].Journal of Earth Sciences and Environment,2021,43(03):549-558.[doi:10.19814/j.jese.2021.01030]
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第43卷
期数:
2021年第03期
页码:
549-558
栏目:
水资源与环境
出版日期:
2021-05-15

文章信息/Info

Title:
Establishment of Sampling Points for Quality Monitoring of Arable Land at Provincial Scale—A Case Study of Shaanxi Province
文章编号:
1672-6561(2021)03-0549-10
作者:
卫新东123王 宁1王筛妮123*宋林韩1吴 桐1
(1. 长安大学 土地工程学院,陕西 西安 710054; 2. 陕西省土地整治重点实验室,陕西 西安 710054; 3. 自然资源部退化及未利用土地整治工程重点实验室,陕西 西安 710054)
Author(s):
WEI Xin-dong123 WANG Ning1 WANG Shai-ni123* SONG Lin-han1 WU Tong1
(1. School of Land Engineering, Chang'an University, Xi'an 710054, Shaanxi, China; 2. Shaanxi Key Laboratory of Land Consolidation, Xi'an 710054, Shaanxi, China; 3. Key Laboratory of Degradation and Unused Land Rehabilitation Engineering, Ministry of Natural Resources, Xi'an 710054, Shaanxi, China)
关键词:
土地利用 耕地质量 空间叠加分析 监测样点 监测控制区 耕地保护 粮食安全 陕西
Keywords:
land use arable land quality spatial superposition analysis monitoring sample point monitoring control area arable land protection food security Shaanxi
分类号:
S158; F323.211
DOI:
10.19814/j.jese.2021.01030
文献标志码:
A
摘要:
耕地质量监测是新时代耕地保护的重要内容,是动态、实时掌握耕地质量变化趋势的重要举措。为切实保障国家粮食安全,精准化监测耕地生产力和改善耕地生态环境,以陕西省为研究对象,从省级、耕地监测区层面系统分析耕地质量监测样点布控。基于陕西省2005~2019年耕地质量等别评价成果,对耕地利用水平分区和经济水平分区进行空间叠加分析,采用分区组合法划分监测控制区,采用空间分层抽样法布控耕地质量监测样点,对比分析不同属性值情况下监测样点的耕地面积比例与数量比例分布趋势。结果表明:陕西省划分7个监测类型区、82个监测控制区,布设757个监测样点,样点代表性与所选取的因素类型分布趋势保持一致,样点分布合理,能够满足耕地质量监测的需要。本研究构建了陕西省耕地质量监测样点体系,以期为全国其他省域耕地质量监测体系构建提供参考,为实现国家粮食安全、耕地数量质量并重管理、耕地产能提升等提供技术支撑,助力乡村振兴、生态保护和高质量发展。
Abstract:
The monitoring of arable land quality is an important content of arable land protection in the new era, and is an important measure to grasp the trend of arable land quality in a dynamic and real-time manner. In order to effectively ensure national food security, accurately monitor arable land productivity and improve the ecological environment of arable land, Shaanxi province was taken as the research object to systematically analyze the distribution and control of arable land quality monitoring sample points from the provincial and arable land monitoring area levels. Based on the results of arable land quality equivalence evaluation in Shaanxi province from 2005 to 2019, the spatial superposition analysis was performed on the arable land utilization level division and economic level division, the monitoring control area was divided by the partition combination method, the arable land quality monitoring sample points were distributed and controlled by the spatial stratified sampling method, and the distribution trends of arable area proportion and quantity proportion of the monitoring sample points under different attribute values were compared and analyzed. The results show that 7 monitoring areas, 82 monitoring control areas and 757 monitoring sample points are divided in Shaanxi province. The representativeness of the sample points is consistent with the distribution trend of the selected factor types, and the sample points are reasonably distributed, which can meet the needs of arable land quality monitoring. The arable land quality monitoring sample point system of Shaanxi province is constructed in order to provide a reference for the construction of arable land quality monitoring system in other provinces, to provide technical support for realizing national food security, equal management of arable land quantity and quality, and improvement of arable land production capacity, and to help rural revitalization, ecological protection, and high-quality development.

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备注/Memo

备注/Memo:
收稿日期:2021-01-27; 修回日期:2021-03-03
基金项目:国家重点研发计划项目(2019YFD1100901); 陕西省土地整治重点实验室开放基金项目(2018-JC05); 自然资源部退化及未利用土地整治工程重点实验室开放基金项目(SXDJ2018-13)
作者简介:卫新东(1978-),男,陕西咸阳人,长安大学副教授,工学博士,E-mail:xindongw@chd.edu.cn。
*通讯作者:王筛妮(1978-),女,陕西咸阳人,长安大学讲师,E-mail:shainiw@chd.edu.cn。
更新日期/Last Update: 2021-05-01