摘要
为解决农林生产中土壤种类和肥力等级判别难度大、技术门槛高的问题,参照国内外分类方法,构建了以有效土层肥力特征为依据的新的土壤分类系统。对中国典型地带性旱地土壤肥力进行评价,结果为:黑土>暗棕壤>棕壤>紫色土>黄棕壤>褐土>黄壤>灰钙土>红壤,表明新的肥力评价方法能客观呈现土壤肥力的地带性差异。通过与“三普”分类命名和肥力评价的实证分析显示,新分类命名可根据土壤剖面形态特征与“三普”土种名称一一对应,且土壤肥力优劣等级顺序大致相同。新分类方法具有指标易收集、方法易掌握等优点,实现了土壤名称和土壤肥力的统一性,对农林生产有较强的指导意义。
To address the challenges in discriminating soil types and fertility grades in agricultural and forestry production,a new soil classification system was developed based on the fertility characteristics of the effective soil layer,leveraging established methodologies from both domestic and international systems.This method was used to evaluate the fertility of typical zonal upland soils in China,and the result was as follows:black soil>dark brown soil>brown soil>purple soil>yellow brown soil>cinnamon soil>yellow soil>sierozem>red soil.This result demonstrated that the new fertility evaluation method could effectively reveal the zonal differences in soil fertility.Compared with the classification and naming system of the“Third National Soil Survey”(TNSS)classification and the empirical analysis of the fertility evaluation,this classification and naming system could establish a one-to-one correspondence with the soil species names in the TNSS based on the morphological characteristics of soil profiles,and the order of soil fertility grades(from high to low)was roughly the same.This new classification method has the advantages of easy collection of indicators and simple operation,which achieves the unification of soil names and soil fertility and has strong guiding significance for agricultural and forestry production.
作者
赵鑫涯
程彦德
蒋俊明
ZHAO Xinya;CHENG Yande;JIANG Junming(Ecological Conservation,Restoration and Resource Utilization in Forest and Wetland Key Laboratory of Sichuan Province,Sichuan Academy of Forestry,Chengdu 610081,China;Sichuan Giant Panda National Park Observation and Research Station,Wolong Forest Ecology Observation and Research Station of Sichuan Province,A’ba 623006,China)
出处
《四川林业科技》
2026年第1期92-99,共8页
Journal of Sichuan Forestry Science and Technology
基金
横向科研项目山丘型疫区林业血防关键技术研究(2024HXKY-2-27)。
关键词
土壤肥力
有效土层
土壤分类
数字化
形态特征
soil fertility
effective soil layer
soil classification
digitization
morphological characteristic
