首页|基于修订的最小数据集的土壤质量评价—以安徽合肥巢湖湖滨国家湿地公园为例

基于修订的最小数据集的土壤质量评价—以安徽合肥巢湖湖滨国家湿地公园为例

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运用主成分分析法建立修订的最小数据集(revised minimum data set,R-MDS),计算土壤质量指数(soil quality index,SQI),对安徽合肥巢湖湖滨国家湿地公园土壤质量开展评价.结果表明,建立的最小数据集包括土壤有机质、全氮、速效钾、酸性磷酸酶、脱氢酶、过氧化氢酶和含水率.基于修订的最小数据集的巢湖湖滨湿地土壤质量指数(soil quality index-revised minimum,SQI-RM)与基于全体数据集(total data set,TDS)的土壤质量指数(soil quality index-total,SQI-T)呈显著正相关,R2 达到0.86(P<0.05),Nash有效系数为0.65,偏差系数为0.02,表明修订的最小数据集能够提取大部分数据信息,可以有效替代全体数据集开展湖滨湿地土壤质量评价.基于修订的最小数据集的安徽合肥巢湖湖滨湿地公园土壤质量指数范围为0.25~0.61(均值0.44),表明湖滨湿地土壤质量整体水平一般.土壤全氮、有机质含量低是巢湖湖滨湿地土壤的显著特征,是土壤质量的限制因子.本研究结果为安徽合肥巢湖湖滨湿地公园管理提供了重要参考依据.
Assessment of Soil Quality based on Revised Minimum Data Set:A Case Study of Chaohu Lakeshore National Wetland Park Hefei,Anhui Province
A revised minimum data set(R-MDS)was established using principal component analysis to calculate the soil quality index(SQI)to assess the quality of soils in Chaohu Lakeshore National Wetland Park Hefei,Anhui.The results showed that the established R-MDS include proxies of organic matter,total nitrogen,available potassium,acid phosphatase,dehydrogenase,catalase and water content.The calculated soil quality index from the R-MDS and total data set correlated with each other significantly and positively,with R2 of 0.86,the Nash effective coefficient of 0.65,and the deviation coefficient of 0.02,indicating that the R-MDS can extract most of the data information and could be an effective proxy for soil quality assessment at Chaohu lakeshore wetland.The soil quality indices based on the R-MDS ranged from 0.25 to 0.61,with a mean of 0.44,indicating a moderate level.The total nitrogen and organic mat-ter in soils are very low and thus the limiting factors for soil quality in Chaohu Lakeshore Wetland Park.The results of this study pro-vide a reference for the management of Chaohu Lakeshore National Wetland Park in Hefei,Anhui.

Chaohu Lakelakeshore wetlandminimum data setprincipal component analysissoil quality assessment

崔梦婷、刘璇、吴继龙、黄涛、孙庆业

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安徽大学资源与环境工程学院,合肥 230601

湿地生态保护与修复安徽省重点实验室,合肥 230601

巢湖 湖滨湿地 最小数据集 主成分分析 土壤质量评价

安徽合肥巢湖湖滨国家湿地公园科研监测项目巢湖流域山水林田湖草监测体系建设项目(调查评估部分)

2021ABBBN001772022BFAWZ02436

2024

地球与环境
中国科学院地球化学研究所

地球与环境

CSTPCD北大核心
影响因子:0.875
ISSN:1672-9250
年,卷(期):2024.52(1)
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