摘要
[目的]开展多作物土地适宜性分析,为农业生产的作物规划、土地利用规划和管理提供一种准确有效的方法。[方法]基于数据挖掘方法,综合运用随机森林算法、综合指数评价法、空间约束多元聚类和空间统计等多种方法相结合,定量刻画分析了多作物种植土地综合适宜性。[结果]①随机森林算法能定量精准实现多空间要素数据驱动下作物种植空间布局,且能识别出对玉米和油菜种植土地适宜区选择具有关键影响的因子;②研究区内玉米和油菜种植适宜区具有显著的空间异质性,玉米适宜区占种植土地总面积的91.23%,但油菜适宜区仅占69.64%;同时适宜于二者种植的主要区域占13.08%,主要分布在凤冈县中部及北部、湄潭县北部和余庆县西北部。[结论]数据挖掘能够为种植土地利用方式选择提供最优方案的可能性,这一方法用于种植土地适宜性评价具有很好的通用性。
[Objective]Conducting multi-crop land suitabilityanalysis was carried out in order to provide an accurate and effective method for crop planning,land use planning,and management of agricultural production.[Methods]Based on data mining method,the comprehensivesuitability of multi-crop land was quantitatively characterized by a random forest algorithm,a comprehensive index evaluation method,spatially constrained multivariate clustering,and spatial statistics.[Results]①A random forest algorithm quantitatively and accurately produced the spatial layout of crop planting driven by multi-spatial elements,and identified factors that had a key influence on the selection of suitable planting land for maize and rapeseed.②The suitable areas for maize and rapeseed planting exhibited significant spatial heterogeneity in the study area.The suitable areas for maize accounted for 91.23%of the total planting land area,but the suitable areas for rapeseed accounted for only 69.64%.The areas suitable for the planting of both crops was 13.08%of the total area,and were mainly located in the central and north parts of Fenggang County,the north part of Meitan County,and the northwest part of Yuqing County.[Conclusion]Data mining provides the possibility of selecting theoptimal planting land use pattern.The method used in this study has goodpotential for evaluating the suitability of land in many locations for the production of various crops.
作者
张晨
林艳
周华
Zhang Chen;Lin Yan;Zhou Hua(Guizhou Institute of Natural Resources Survey and Planning,Guiyang,Guizhou 550004,China;College of Life Sciences,Guizhou University,Guiyang,Guizhou 550025,China;Guizhou Research Base of Key Laboratory of Land Use,Ministry of Natural Resources,Guiyang,Guizhou 550004,China)
出处
《水土保持通报》
CSCD
北大核心
2022年第3期188-198,共11页
Bulletin of Soil and Water Conservation
基金
自然资源部碳中和与国土空间优化重点实验室开放资助项目“喀斯特生态脆弱区碳源/汇时空变化特征及低碳目标下国土空间格局优化研究:以贵州省为例”(2021CNTO2004)。
关键词
数据挖掘
土地适宜性评价
耕地资源
随机森林算法
作物
遵义市
data mining
land suitability evaluation
cultivated land resources
random forest
crops
Zunyi City
