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| 县域耕地质量等别监测分区布点研究 |
| Study on sampling design for monitoring cultivated land quality at a county scale |
| Received:August 28, 2020 |
| DOI：10.13254/j.jare.2020.0468 |
| 中文关键词: 耕地质量，等别，监测分区，监测样点，从化区 |
| 英文关键词: cultivated land quality, grades, monitoring areas, monitoring samples, Conghua District |
| 基金项目:国家自然科学基金项目（U1901601）；国家重点研发计划（2018YFD1100103）；广东省科技兴农-农业科技创新及推广项目（2019KJ102-3） |
| Author Name | Affiliation | E-mail | | XIE Ying-kai | College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China
Guangdong Provincial Key Laboratory of Land Use and Reconstruction, Guangzhou 510642, China
Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China
South China Academy of Natural Resources Science and Technology, Guangzhou 510642, China | | | YANG Hao | College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China
Guangdong Provincial Key Laboratory of Land Use and Reconstruction, Guangzhou 510642, China
Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China | | | HU Yue-ming | College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China
Guangdong Provincial Key Laboratory of Land Use and Reconstruction, Guangzhou 510642, China
Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China
South China Academy of Natural Resources Science and Technology, Guangzhou 510642, China | yueminghugis@163.com | | LIU Zhen-hua | College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China
Guangdong Provincial Key Laboratory of Land Use and Reconstruction, Guangzhou 510642, China
Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China | | | ZHAO Li | College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China
Guangdong Provincial Key Laboratory of Land Use and Reconstruction, Guangzhou 510642, China
Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China | |
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| 中文摘要: |
| 为准确掌握耕地质量等别空间分布特征，提高县域耕地质量监测效率，完善其监测体系，本研究以广州市从化区为例，基于耕地质量监测成果以及土壤、环境因子等数据，通过空间统计学、空间叠加等方法对县域耕地质量等别监测分区布点进行研究。结果表明，考虑土壤、地貌、土地利用水平、土地经济效益以及耕地质量渐变类型等因素，从化区共划分为26个耕地质量监测区。依据空间分层抽样原理，结合研究区内国家标准样地、沟渠、道路、村庄、基本农田等因素在空间上对监测样点进行调整，最终确定了111个监测样点。经统计检验表明，监测样点在总体耕地分等单元中具有较高的代表性。以此建立的县域耕地质量监测体系可为自然资源部门的耕地质量监测监管提供技术支持。 |
| 英文摘要: |
| In order to accurately grasp the spatial distribution characteristics of cultivated land quality grades, improve the efficiency of county cultivated land quality monitoring, and complete its monitoring system, in this study, Conghua District in Guangzhou City had been taken as an example, based on cultivated land quality monitoring results, soil, environmental factors and other data, studying sampling design by monitoring cultivated land quality at a county scale through spatial statistics and spatial superposition. By considering factors such as soil, landforms, land use level, land economic benefits, and gradual types of cultivated land quality, Conghua District was divided into 26 cultivated land quality monitoring areas. Based on the spatial stratified sampling principle of spatial statistics, and combined with the national standard sample plots, ditches, roads, villages, basic farmland, and other factors in the study area, the monitoring samples were adjusted spatially, and 111 monitoring samples were finally determined. The statistical test showed that the monitoring samples were highly representative in the overall cultivated land grading unit. The county-level cultivated land quality monitoring system established on this basis can provide technical support for the natural resources department's cultivated land quality monitoring and supervision. |
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