摘要
在传统土壤肥力评价仅考虑常规养分指标的基础上,引入微量元素养分指标,选取pH值、有机质、碱解性氮等10个土壤肥力性质作为评价指标,以田坝镇所处的川西南山区土壤为研究对象,采用模糊数学方法对玉米和水稻种植区农田表层土壤肥力进行综合评价,并分析其肥力丰缺情况。结果表明:仅碱解性氮服从正态分布,有效磷的变异系数最大(2.16),分布极不均匀;最终选取3个主成分,其贡献率达到71.63%,有效磷肥力指标权重最大(0.16)而速效钾最小(0.03);平均隶属度最小为有效硼(0.14),其次为有效磷(0.24),为该区的主要限制性因子;玉米种植区除有效锰外,其余肥力指标的隶属度均低于水稻种植区,且综合肥力低于水稻种植区。
On the basis of the conventional Nutrient index which is only considered in the traditional soil fertility evaluation, introducing trace element nutrient indicators, selecting 10 soil fertility propertiessuch as pH value, organic matter and alkaline nitrogenas evaluation indexes, taking the soil in the southwest mountainous area of Tianba Town as the research object, the fuzzy mathematics method is used to comprehensively evaluate the surface soil fertility of maize and rice planting areas, and the fertility abundance is analyzed. The results show that only alkali-hydrolyzable nitrogenis normally distributed, and the coefficient variation of available phosphorus is the largest (2.16), and the distribution is extremely uneven. Three main components whose contribution rate reaches 71.63% are selected, of which the effective phosphorus fertility index has the largest weight (0.16) and available potassium smallest (0.03);The average membershipdegree of effective boronis minimum(0.14), followed by the effective phosphorus (0.24), which is the main limiting factor of the region;In addition to effective manganese,the degree of membership of the remaining fertility indicators in the corn planting areas is smaller than that of the rice planting area, and the overall fertility is below that of rice planting area.
作者
向莉莉
陈文德
廖成云
刘应平
XIANG Lili;CHEN Wende;LIAO Chengyun;LIU Yingping(College of Tourism and Urban-Rural Planning,Chengdu University of Technology,Chengdu, 610059;Sichuan Forestry Investigation and Planning Institute;Sichuan Institute of Geological Survey,China)
出处
《河北科技师范学院学报》
CAS
2019年第2期60-65,共6页
Journal of Hebei Normal University of Science & Technology
关键词
农田土壤
肥力评价
模糊数学法
川西南山区
farmland soil
fertility evaluation
fuzzy mathematics
southwest mountain area of Sichuan
