天山云杉林土壤养分空间异质性及环境解释  

Spatial heterogeneity of soil nutrients and environmental interpretation in Picea schrenkiana var.tianschanica forest

作　　者：席丽 李思瑶 夏晓莹 王杰[1,2] 马小龙[1,2] 米尔扎提·柯尼加里木 阿丽耶·麦麦提 王卫霞[1,2] XI Li;LI Siyao;XIA Xiaoying;WANG Jie;MA Xiaolong;Mierzhati Kenijialimu;Aliye Maimaiti;WANG Weixia(College of Forestry and Landscape Architecture,Xinjiang Agricultural University,Urumqi 830052,Xinjiang,China;Key Laboratory of Forestry Ecology and Industrial Technology in Arid Area,Xinjiang Agricultural University,Urumqi 830052,Xinjiang,China)

机构地区：[1]新疆农业大学林学与风景园林学院,新疆乌鲁木齐830052 [2]新疆农业大学干旱区林业生态与产业技术重点实验室,新疆乌鲁木齐830052

出　　处：《中南林业科技大学学报》2022年第10期93-101,167,共10页Journal of Central South University of Forestry & Technology

基　　金：国家自然科学基金项目(31760199);国家级大学生创新创业训练计划项目“不同海拔梯度对天山云杉林土壤有机碳的影响”(202110758008)。

摘　　要：【目地】以天山云杉林为研究对象,探究其土壤养分空间变异特征,并结合多因子对其解释,旨在为天山云杉天然林可持续经营提供理论依据。【方法】借助地统计学和GIS技术探究其土壤养分空间变异特征,并结合多因子,通过冗余分析RDA(Redundancy analysis)进行解释。【结果】1)天山云杉林下土壤有机质、全氮、碱解氮、速效磷、速效钾的平均值分别为139.80 g/kg、3.85 g/kg、113.79 mg/kg、25.95 mg/kg、179.20 mg/kg,均属于中等程度变异;2)林下土壤有机质、全氮、速效磷、速效钾的最适模型为指数模型,碱解氮的最适模型为高斯模型。有机质、全氮、碱解氮、速效钾的块金系数分别为11%、13%、14%和10%,表现为强烈的空间自相关性,表明其主要受结构因素影响;速效磷的块金系数为41%,属于中等程度空间自相关性,其变异由随机因素与结构因素共同作用影响;3)普通克里格插值表明,碳、氮含量丰富;4)通过RDA分析,土壤含水量、pH值、林分年龄影响着研究区土壤养分含量水平。【结论】基于地统计学、GIS技术和RDA分析得到天山云杉林土壤养分空间异质性、空间分布及环境解释,能较好地反映天山云杉林土壤养分的特征,为今后天山云杉天然林可持续经营提供理论依据。【Objective】Taking Picea schrenkiana var.tianschanica forest as the research object,the study aimed to explore the spatial heterogeneity of soil nutrients and explain it with multiple factors,in order to provide a theoretical basis for the sustainable management of Picea schrenkiana var.tianschanica forest.【Method】The spatial heterogeneity of soil nutrients was explored with the help of geostatistics and GIS technology,which was then explained by RDA analysis with multiple factors.【Result】1)The average contents of soil organic matter,total nitrogen,alkaline nitrogen,available phosphorus and available potassium under the forest were 139.80 g/kg,3.85 g/kg,113.79 mg/kg,25.95 mg/kg and 179.20 mg/kg,respectively,and they all showed a moderate variation.2)The optimal model of soil organic matter,total nitrogen,available phosphorus and available potassium under the forest was the exponential model,and the best model of alkaline nitrogen was the Gaussian model.The Nugget/Sill ratios of soil organic matter,total nitrogen,alkaline nitrogen and available potassium were 11%,13%,14%and 10%,respectively,exhibiting a strong spatial correlation,indicating that they were mainly affected by structural factors.The Nugget/Sill ratio of available phosphorus was 41%,showing a moderate spatial correlation,suggesting that it was mainly affected by structural and random factors.3)By using ordinary Kriging interpolation,it was found that the contents of carbon and nitrogen were abundant in this study area.4)RDA analysis showed that soil nutrient content was affected by soil water content,pH and stand age in this study area.【Conclusion】Based on geostatistics,GIS technology and RDA analysis,the spatial heterogeneity,spatial distribution and environmental interpretation of soil nutrients in the study area can better reflect the characteristics of soil nutrients in Picea schrenkiana var.tianschanica forest,and provide a theoretical basis for the sustainable management of Picea schrenkiana var.tianschanica forest in the future.

关 键 词：土壤养分 地统计学 克里格插值 RDA分析 

分 类 号：S714.5[农业科学—林学]