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广东省森林土壤养分异质性析因
引用本文:刘晓彤,李海奎,曹磊,张逸如. 广东省森林土壤养分异质性析因[J]. 北京林业大学学报, 2021, 43(2): 90-101. DOI: 10.12171/j.1000-1522.20200164
作者姓名:刘晓彤  李海奎  曹磊  张逸如
作者单位:中国林业科学研究院资源信息研究所,国家林业和草原局森林经营与生长模拟重点实验室,北京 100091
基金项目:国家自然科学基金项目;中央级公益性科研院所基本科研业务费专项
摘    要:[目的]分析不同环境因子对森林土壤养分的影响,探讨造成森林土壤养分异质性的原因,为森林经营和森林立地质量评价提供依据.[方法]基于广东省全国森林资源清查土壤调查数据,以有机质(OM)、碱解氮(AN)、有效磷(AP)和速效钾(AK)为因变量,以地理因子、地形因子、土壤因子和林分因子四大类20个变量(10个定性因子,10个...

关 键 词:土壤养分  异质性  影响因子  向后剔除法  定性定量交互
收稿时间:2020-06-05

Analysis on the heterogeneity of forest soil nutrients in Guangdong Province of southern China
Liu Xiaotong,Li Haikui,Cao Lei,Zhang Yiru. Analysis on the heterogeneity of forest soil nutrients in Guangdong Province of southern China[J]. Journal of Beijing Forestry University, 2021, 43(2): 90-101. DOI: 10.12171/j.1000-1522.20200164
Authors:Liu Xiaotong  Li Haikui  Cao Lei  Zhang Yiru
Affiliation:Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Key Laboratory of Forest Management and Growth Modelling of National Forestry and Grassland Administration, Beijing 100091, China
Abstract:[Objective]The influence of different factors on forest soil nutrients was analyzed to explore the causes of forest soil nutrient diversity and support forest management and site quality evaluation.[Method]Based on the soil data of forest inventory in Guangdong Province of southern China,organic matter(OM),alkali-hydro-nitrogen(AN),available phosphorus(AP)and available potassium(AK)were taken as dependent variables,and 20 variables(10 qualitative factors and 10 quantitative factors)were taken as independent variables in four categories,namely geographical factor,topographic factor,soil factor and stand factor.The main effector was selected based on the general linear model and backward elimination method.The influencing factors and degree of forest soil nutrient were analyzed by the interaction of qualitative and quantitative factors.The difference was analyzed by multiple linear regression analysis of quantitative factors and multiple comparative analysis of qualitative factors.[Result](1)The soil nutrients were mainly affected by three geographical factors(longitude,latitude and watershed),three topographic factors(altitude,slope position and slope grade),and four stand factors(vegetation coverage under forest,mean DBH,mean age and dominant tree species).And the factors on different soil nutrients were various.(2)The influencing factors had different degrees of interpretation for different soil nutrients.The interpretation degree of AN was more than 0.30,the interpretation degree of OM and AK was more than 0.25,and the interpretation degree of AN was more than 0.20.Interaction prominently enhanced the interpretation of soil nutrients,with an average increase of 0.141.AN,OM and AK were up to about 0.50,0.45 and 0.40,respectively,AP was more than 0.30.(3)Through multiple comparative analysis,there were significant differences in soil nutrients among dominant tree species,watershed and slope position.[Conclusion]The factors affecting forest soil heterogeneity in Guangdong Province include geographical factors,topographic factors and stand factors.The influencing factors of different soil nutrients are not exactly the same.Latitude,watershed,altitude,slope position,parent rock,mean DBH,mean age and dominant tree species have influences on most soil nutrient factors.For different soil nutrients,OM and AN have a higher degree of interpretation,while AP and AK have a lower degree of interpretation.Interaction significantly improves the degree of interpretation of soil nutrients.In this study,the main effect screening method with qualitative factors is proposed and the interaction between first-order qualitative factors and quantitative factors is introduced,so that it can highly increase the interpretation of soil nutrients.
Keywords:soil nutrient  heterogeneity  influencing factor  backward elimination method  qualitative and quantitative interaction
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