首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于结构方程的滇东石漠化地区土壤理化性质与酶活性研究
引用本文:舒树淼,赵洋毅,胡慧蓉,熊好琴,段旭.基于结构方程的滇东石漠化地区土壤理化性质与酶活性研究[J].水土保持通报,2016,36(3):338-345.
作者姓名:舒树淼  赵洋毅  胡慧蓉  熊好琴  段旭
作者单位:1. 西南林业大学 环境科学与工程学院,云南 昆明 650224; 云南玉溪森林生态系统国家定位观测研究站,云南 新平 653400;2. 西南林业大学 环境科学与工程学院,云南 昆明,650224;3. 云南玉溪森林生态系统国家定位观测研究站,云南 新平 653400; 西南林业大学 林学院,云南 昆明 650224
基金项目:云南省教育厅研究项目“滇东曲靖石漠化地区不同植被恢复模式对土壤质量的影响研究”(2013Y114);云南省高校优势特色重点学科(生态学)建设资助项目(05000511311);国家林业局林业科技创新平台项目(2015-LYPT-DW-138);云南省应用基础研究项目(2012FD028)
摘    要:目的]明确滇东石漠化地区不同恢复模式效果差异以及养分对酶的影响关系,为石漠化地区恢复措施提供理论依据。方法]以土壤酶活性为恢复效果的衡量指标,采取基于模糊数学的土壤质量评价办法,得到不同模式下土壤酶指数,用以比较恢复模式的效果。基于土壤理化性质与酶活性相关性分析的结果,采取结构方程模型量化土壤理化环境和酶活性环境,进而分析不同土壤理化环境对不同酶环境的影响。结果]酶活性大小排序为:灌草模式针阔混交林模式阔叶林模式针叶林模式裸地;由结构方程模型和有机质、全磷估计出的养分子环境对由脲酶活性、过氧化氢酶、多酚氧化酶活性构成的酶活性环境存在显著正影响。结论]灌草模式和针阔混交林模式对石漠化恢复有较好作用。养分环境对酶活性环境的影响系数为0.87。

关 键 词:喀斯特  石漠化  植被恢复模式  土壤养分  酶活性  结构方程模型  滇东
收稿时间:2015/6/10 0:00:00
修稿时间:2015/7/27 0:00:00

A Study on Effect of Soil Physicochemical Properties on Enzyme Activity Using Structural Equation in Rocky Desertification Areas in Eastern Part of Yunnan Province
SHU Shumiao,ZHAO Yangyi,HU Huirong,XIONG Haoqin and DUAN Xu.A Study on Effect of Soil Physicochemical Properties on Enzyme Activity Using Structural Equation in Rocky Desertification Areas in Eastern Part of Yunnan Province[J].Bulletin of Soil and Water Conservation,2016,36(3):338-345.
Authors:SHU Shumiao  ZHAO Yangyi  HU Huirong  XIONG Haoqin and DUAN Xu
Institution:College of Environment Science and Engineering, Southwest Forestry University, Kunming, Yunnan 650224, China;National Station for Forest Ecosystem in Yuxi City, Yunnan Province, Xingping, Yunnan 653400, China,College of Environment Science and Engineering, Southwest Forestry University, Kunming, Yunnan 650224, China;National Station for Forest Ecosystem in Yuxi City, Yunnan Province, Xingping, Yunnan 653400, China,College of Environment Science and Engineering, Southwest Forestry University, Kunming, Yunnan 650224, China,College of Environment Science and Engineering, Southwest Forestry University, Kunming, Yunnan 650224, China;National Station for Forest Ecosystem in Yuxi City, Yunnan Province, Xingping, Yunnan 653400, China and National Station for Forest Ecosystem in Yuxi City, Yunnan Province, Xingping, Yunnan 653400, China;College of Forestry, Southwest Forestry University, Kunming, Yunnan 650224, China
Abstract:Objective] To determine the effect of different vegetation types and nutrients on the enzyme activity in order to provide a theoretical basis for the restoration of rocky desertification areas in the eastern part of Yunnan Province.Methods] Soil enzyme activity was used to evaluate the effect of restoration, and the soil quality evaluation method based on fuzzy mathematics was adopted to derive the soil enzyme index under different restoration approaches to compare the effect of each approach. Based on correlation analysis of soil physical and chemical activity and enzyme activity, structural equation model was adopted to quantify soil physical and chemical environment and enzyme activity environment, and then to analyze the influence of different soil physical and chemical environment on different enzyme environment.Results] The order for enzyme activity was shrub and grass mode > mixed coniferous and broadleaf forest > broadleaf forest mode > coniferous forest mode > bare land; According to the principle of structural equation model, the sub-nutrient environment composed of total phosphorus and organic matter had a positive impact on enzyme environment which was composed of the activity of urease, catalase and polyphenol oxidase activity.Conclusion] The shrub and grass mode and mixed coniferous and broadleaf forest both have a good effect on the recovery of rocky desertification. The influence coefficient of nutrient environment on enzyme activity was 0.87.
Keywords:Karst  rocky desertification  vegetation restoration model  soil nutrients  enzyme activity  structural equation  eastern part of Yunnan Province
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《水土保持通报》浏览原始摘要信息
点击此处可从《水土保持通报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号