基于全国第二次土壤普查的陕西土种志数据集
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https://escience.org.cn/metadata/detail?cstrId=CSTR:11738.11.ncdc.NIEER.2021.1974&id=9bc0652f0dce29823c0c9842001ae890:CSTR:11738.11.ncdc.NIEER.2021.1974
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资源简介:
本数据集是基于1993年陕西科学技术出版社出版的《陕西土种志》整理加工而成。陕西土种志数据集根据所包含的内容以及为便于开发为线上查询,确立土种ID为主键,设计为7个SHEET。分别为陕西-土类亚类土种分类信息、陕西-土种基本信息、陕西-土种分布市县及面积(与地点关系)、陕西-土种典型剖面景观信息、陕西-典型剖面发生层信息、陕西-典型剖面理化性质和陕西-土种统计剖面理化性质和,这些数据信息主要为阐述403个陕西土种的系统分类、基本特征信息、土种地理分布以及土种典型剖面采集地信息、典型剖面发生层特征、典型剖面和统计剖面土壤理化性质。可被广泛用于区域土地质量评估、环境效应研究、土壤碳储量研究等,为合理利用土壤资源提供极具意义的科学支撑。
This dataset was compiled and processed based on *Shaanxi Soil Species Annals* published by Shaanxi Science and Technology Press in 1993. To facilitate online query development based on its content, the Shaanxi Soil Species Dataset uses soil species ID as the primary key, and is designed with 7 sheets, namely: 1) Shaanxi - Soil Group/Subgroup and Soil Species Classification Information; 2) Shaanxi - Basic Information of Soil Species; 3) Shaanxi - Distribution Cities/Counties and Area of Soil Species (Relationship with Locations); 4) Shaanxi - Typical Profile Landscape Information of Soil Species; 5) Shaanxi - Genetic Horizon Information of Typical Profiles; 6) Shaanxi - Physicochemical Properties of Typical Profiles; 7) Shaanxi - Physicochemical Properties of Statistical Profiles of Soil Species. This dataset mainly elaborates the systematic classification, basic characteristic information, geographical distribution, typical profile collection location information, genetic horizon characteristics of typical profiles, and soil physicochemical properties of typical and statistical profiles of 403 local soil species in Shaanxi. It can be widely applied in regional land quality assessment, environmental effect research, soil carbon storage research and other related fields, providing highly significant scientific support for the rational utilization of soil resources.
提供机构:
国家冰川冻土沙漠科学数据中心
创建时间:
2021-10-18
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集基于1993年出版的《陕西土种志》整理而成,系统收录了陕西省403个土种的分类、分布、剖面景观和理化性质等信息,分为7个数据表。它来源于全国第二次土壤普查,具有权威性和详实性,适用于区域土地评估、环境研究和土壤资源管理等领域。
以上内容由遇见数据集搜集并总结生成



