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复杂地貌类型区耕地质量时空分异及影响因素 被引量:8

Spatial and temporal variation of farmland quality and its influencing factors in complex geomorphic regions
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摘要 以地形地貌复杂的福建省为研究区域,利用1∶50000耕地利用—土壤类型数据库以及2009年和2017年两期全省耕地土壤调查样点数据,通过建立评价指标体系,借助GIS技术与灰色斜率关联分析模型,探讨了8年间福建省耕地质量时空分异特征及其影响因素.结果表明:2009年福建省耕地以中低等占优势;2017年转变为以中高等占优势,但低等耕地仍有一定数量分布;8年间福建省耕地质量平均等级提升了1.55等.不同地貌类型区耕地质量表现为平原盆地区平均等级高于丘陵山地区,但平均等级提升幅度依次为盆地>丘陵>山地>平原;不同经济发展水平区平均等级提升幅度表现为低发展区>一般发展区>中等发展区>高发展区;随着海拔的升高,耕地分布逐渐减少,耕地质量平均等级也逐渐降低,从低海拔区到高海拔区平均等级提升幅度呈先增加后降低的变化趋势,在海拔200~400 m区域耕地质量等级提升最多.灰色斜率关联分析表明,2009—2017年福建省耕地质量动态变化的主要影响因素为第一产业比重、农业就业人口比重、城镇化水平、有效灌溉面积、钾肥施用量以及粮食作物种植面积. To understand the main factors that drive spatiotemporal variation of farmland in regions with complex topography, Fujian Province was selected as the research object. An evaluation index system was established using the 1∶50 000 cultivated land use-soil type database and provincial farmland soil survey data in 2009 and 2017. The spatiotemporal characteristics and influencing factors of farmland quality in Fujian in the past 8 years were analyzed via GIS technology and grey slope correlation analysis. The results showed that the majority of farmland in Fujian was rated low and medium quality in 2009, and was upgraded to medium and high quality in 2017. Despite some remained low-quality farmland, the average grade of farmland quality in Fujian was enhanced by 1.55 grades in the past 8 years. The average grade of farmland in the plain and basin areas exceeded that of the hilly and mountainous areas. The order of grade improvement range for different land types was as follows: basin > hill > mountain > plain. And the order of grade improvement range for areas with different development levels was as follows: less developed area > generally developed area > medium developed area > highly developed area. With the increase of altitude, the distribution of farmland gradually decreased, so as the average grade of farmland quality. While the average grade improvement range rose and then declined when the altitude increased, with the biggest improvement range being from areas at the altitude of 200-400 m. Grey slope correlation analysis revealed the dynamic changes on farmland quality in Fujian from 2009 to 2017 were influenced by 6 main factors, namely the proportion of primary industry, employment ratio in agriculture, urbanization level, effective irrigation area, application rate of potassium fertilizer and the planting area of grain crop.
作者 周君华 游碧君 詹寄任 张黎明 邢世和 ZHOU Junhua;YOU Bijun;ZHAN Jiren;ZHANG Liming;XING Shihe(College of Resources and Environment Science,Fujian Agriculture and Forestry University;School of Public Administration,Fujian Agriculture and Forestry University;Key Laboratory of Soil Ecosystem Health and Regulation in Fujian Province,Fuzhou,Fujian 350002,China)
出处 《福建农林大学学报(自然科学版)》 CSCD 北大核心 2021年第6期824-831,共8页 Journal of Fujian Agriculture and Forestry University:Natural Science Edition
基金 农业农村部农技推广项目(KLD19H01A) 福建省科技创新平台建设项目(KJG17014A、KJG17014D)。
关键词 地貌类型 耕地质量 时空分异 灰色斜率关联分析 影响因素 landform farmland quality spatiotemporal variation grey slope correlation analysis influencing factor
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