基于时空扫描统计的耕地质量等级变化监测——以福建省闽侯县为例  

Monitoring of Cultivated Land Quality Grade Changes Based on Spatiotemporal Scanning Statistics—A Case Study at Minhou County,Fujian Province

作　　者：邱达勇 范协裕[1,2] 蒋雪容 陈瀚阅 张黎明[1,2] 邢世和 林鹏[4] Qiu Dayong;Fan Xieyu;Jiang Xuerong;Chen Hanyue;Zhang Liming;Xing Shihe;Lin Peng(College of Resources and Environment,Fujian Agriculture and Forestry University,Fuzhou,Fujian 350002,China;Fujian Provincial Key Laboratory of Soil Ecosystem Health and Regulation,Fuzhou,Fujian 350002,China;Engineering Technology Innovation Center for Monitoring and Restoration of Ecologically Vulnerable Areas in the Southeast of the Ministry of Natural Resources,Fuzhou,Fujian 350002,China;School of Economics,Fujian Normal University,Fuzhou,Fujian 350002,China)

机构地区：[1]福建农林大学资源与环境学院,福建福州350002 [2]土壤生态系统健康与调控福建省高校重点实验室,福建福州350002 [3]自然资源部东南生态脆弱区监测修复工程技术创新中心,福建福州350002 [4]福建师范大学经济学院,福建福州350002

出　　处：《水土保持通报》2023年第5期128-140,147,共14页Bulletin of Soil and Water Conservation

基　　金：福建省自然资源科技创新项目“福建省自然资源科技创新项目”(KY-030000-04-2021-006);福建农林大学科技创新平台建设项目(KFb22121XA);遥感科学国家重点实验室开放资助项目(OFSLRSS202112);国家自然科学基金项目(41971050);福建省科技创新平台建设项目(KJg21008A)。

摘　　要：[目的]分析福建省闽侯县多年耕地质量等级的时空变化及布局,为东南丘陵区复杂地貌地带耕地质量的时空格局演变研究提供新思路与新助力。[方法]将时空统计扫描法引入多时序耕地质量监测中,结合传统空间分析方法,对县域耕地质量的连续变化趋势及空间分布进行研究。进一步地,将引入时空扫描模型产生的试验结果与运用传统空间自相关分析法中的局部自相关模型的试验结果进行比对。[结果](1)在挖掘高值的聚类特征上,时空扫描模型优于局部自相关模型;(2)2018—2019年闽侯县耕地质量等级在变化幅度和空间分布广度上均大于2019—2020年的耕地质量等级变化与分布状况;(3)2018—2020年闽侯县整体的耕地质量逐年稳定并呈现上升趋势。(4)根据闽侯县耕地质量的时空格局变异情况将耕地划分为高级优质提升区、低级优质提升区、首要重点整治区、次要重点整治区、适度改良区5个区。[结论]补足养分因子、兴建水利和平衡土壤pH值是防止并逆转耕地质量劣化和保持农田高质量、高产出的重要实施方案。此外建立耕地保护区,防范耕地非农化也有助于耕地质量的稳固和提升。[Objective]The spatiotemporal variation and distribution of cultivated land quality at Minhou County,Fujian Province over many years were analyzed in order to provide new ideas and new help for the study of spatiotemporal pattern evolution of cultivated land quality in complex geomorphic areas in the southeast hilly region.[Methods]The spatiotemporal statistical scanning method was introduced into multi-time series cultivated land quality monitoring,and combined with the traditional spatial analysis method to study the continuous change trend and spatial distribution of county scale cultivated land quality.Furthermore,the experimental results generated by the introduction of the spatiotemporal scanning model were compared with the results of a local autocorrelation model in the traditional spatial autocorrelation analysis method.[Results]①The spatiotemporal scanning model was superior to the local autocorrelation model for mining high-value clustering features.②The change amplitude and spatial distribution breadth of cultivated land quality grades at Minhou County from^(2)018 to 2019 were greater than in 2019—2020.③From^(2)018 to 2020,the overall cultivated land quality at Minhou County was stable from year by year,and showed an upward trend.④According to the variation of the spatial and temporal patterns of cultivated land quality at Minhou County,cultivated land was divided into five areas:high quality improvement area,low quality improvement area,primary key improvement area,secondary key improvement area,and moderate improvement area.[Conclusion]Replenishing nutrients,increasing water conservation,and balancing soil pH value are important practices to implement to prevent and reverse the deterioration of cultivated land quality and to maintain high quality and high yield of farmland.In addition,establishing cultivated land protection areas to prevent non-agricultural uses of cultivated land is also conducive to stabilizing and improving cultivated land quality.

关 键 词：耕地质量 时空扫描 Moran’s I 耕地保护 GIS 

分 类 号：F323.211[经济管理—产业经济]