工业活动下盐池荒漠草原表层土壤理化特性实测数据集

Surface-soil Physicochemical Properties in Near Industrial Areas in the Yanchi Desert Steppe

随着工业化的快速发展,在生产、燃烧、运输等过程中容易释放出不容性的污染物,导致土壤质量下降,荒漠草原生态安全问题一直是人们关注的热点。2019年6月本研究以盐池县高沙窝工业园附近的荒漠草原为采样区,距离工业园区不同方向,间隔1-2 km,随机布点。采用五点交叉取样法取表层土壤(0-20cm),并从每个样地中混合5个土壤样本,总共收集了76份土壤。通过室内试验测定土壤全氮、全磷、有机质、速效磷、速效钾、铵态氮、硝态氮和pH含量,利用相关系数法确定土壤质量指标权重,建立隶属函数模型并通过土壤质量公式计算出研究区土壤质量状况。在此基础上使用ArcGIS10.2中地统计学方法制作空间分布图。数据集中土壤指标及分析方法有助于了解工业活动下荒漠草原的土壤质量状况,为今后荒漠草原生态环境保护提供参考。该数据集包括:样点的地理位置数据和土壤理化指标的含量数据。数据集储存为.xls格式,压缩为1个数据文件,数据量为16.64 KB。

With rapid industrialization,insoluble pollutants are released into the environment due to production,combustion,and transportation.The release of insoluble pollutants can lead to the rapid deterioration of soil quality.Desert steppe ecosystems are unique and are an important resource for ecological conservation in China.The desert grasslands near the Gaoshawo industrial park,Yanchi county,China was used as the sampling area.The study area is located in a different direction from the industrial park,1-2 km apart,and randomly distributed.The five-point cross-sampling method was used to sample the surface soil(0-20 cm).The method included the collection of five soil samples from each plot,which were mixed.A total of 76 surface soil samples(0-20 cm)representing diferent pollution sources were collected.The total N,total P,organic matter,available P,available K,ammoniacal nitrogen,nitrate-nitrogen,and p H of the samples were analyzed in the lab.The Pearson’s co-efficient was used to determine the weightage of the soil quality index.A membership function model was established and the status of soil quality in the study area was calculated by using the soil-quality formula.On this basis,the geostatistics method in Arc GIS 10.2 was used to make the spatial distribution map.The soil indicators and analysis methods of the data collection are helpful to understand the soil quality of the desert grasslands near industrial areas and provide a reference for ecological conservation efforts of the desert grasslands.The dataset includes geographic location data of sample points and content data of soil physical and chemical indicators.The dataset is archived in.xls format,and the data size is 63 KB(compressed into 1 file of 16.64 KB).