摘要
为了解长江三角洲地区农用地土壤肥力特征,以常州市金坛区朱林镇为例,利用模糊综合评价模型与地统计学及GIS技术相结合的方法,分析朱林镇的土壤肥力特征并对其进行综合评价。结果表明:pH为中性,有机质、全氮、阳离子交换量适中,速效钾含量较低,有效磷含量丰富;除有效磷具有中等程度的空间相关性外其他肥力指标均具有强烈的空间相关性;Kriging插值结果显示的各土壤肥力指标空间分布图能够很好的反映肥力指标的空间分布及丰缺状况;模糊综合评价结果表明朱林镇整体肥力处于中等水平,且东部肥力高于西部,南部肥力达到一等水平,与土壤质地、土地经营方式、肥力科学管理及境内地势多为圩田有关。其结果可为镇域尺度土壤肥力的空间内插、制图和取样设计提供参考,也为长江三角洲土壤可持续利用、肥力的科学管理提供依据。
In order to know soil fertility characteristics of agricultural land in Yangtze River Delta and then comprehensively evaluated soil fertility characteristics in Zhulin Town, Changzhong, based area, we analyzed on fuzzy synthetic evaluation model combined with geostatistics and GIS technology. The results indicated that in our study area pH was neutral, soil organic matter (SOM), total nitrogen (TN), cation exchange capacity (CEC) were at moderate level, and available potassium (AK) was at low level, while available phosphorus (AP) was at rich level. At the same time the spatial correlation of AP was medium while that of other fertility indices were strong. The results of Kriging interpolation demonstrated that spatial distribution of soil fertility index primely reflected the spatial distribution of fertility index and abundance of status. Fuzzy synthetic evaluation showed that the characteristics of soil fertility in Zhulin Town was at moderate level. Soil fertility was higher in the eastern town than that in the western town, while it achieved the first level in the southern town, which was related to soil texture, ways of land operation, scientific management and the polder fields in this area. The results would provide reference for the spatial interpolation, mapping and sampling design of soil fertility index at town scale, and would provide scientific basis for sustainable utilization and management of soil fertility in Yangtze River Delta.
出处
《土壤通报》
CAS
北大核心
2017年第2期372-379,共8页
Chinese Journal of Soil Science
基金
国家科技支撑计划(2012BAJ22B02-03)
江苏高校优势学科建设工程资助项目(PAPD)资助
关键词
朱林镇
土壤肥力
空间分布
KRIGING插值
模糊综合评价
Zhulin Town
Soil fertility
Spatial distribution
Kriging interpolation
Fuzzy synthetic evaluation