基于灰色关联度的地震损毁地植被快速恢复模式筛选  

Screening of Rapid Vegetation Restoration Models in Earthquake-stricken Areas Based on Grey Relation Analysis

作　　者：吴世磊[1] 陈英[1] 张泽 苏宇 张炜[1] 贺维[1] WU Shilei;CHEN Ying;ZHANG Ze;SU Yu;ZHANG Wei;HE Wei(Sichuan Key Laboratory of Ecological Restoration and Conservation for Forest and Wetland,Sichuan Academy of Forestry,Chengdu 610081,China)

机构地区：[1]四川省林业科学研究院,森林和湿地生态恢复与保育四川省重点实验室,四川成都610000

出　　处：《四川林业科技》2020年第6期111-116,共6页Journal of Sichuan Forestry Science and Technology

基　　金：九寨沟地震灾区珍稀动物受损栖息地林草植被快速恢复模式研究与示范项目。

摘　　要：根据地震损毁地受损程度,针对重度损毁地植被恢复模式共选择11种,中度损毁地植被恢复模式共选择6种,采用灰色关联度分析方法比较各模式恢复成效,根据结果筛选出成活率、土壤有机质含量、生物量、覆盖度高的快速植被恢复模式。试验的筛选过程和结果,对当前地震损毁地植被快速恢复具有十分重要的参考价值和借鉴价值。Based on the damage degrees of earthquake-stricken areas,11 vegetation restoration models were selected for severely damaged sites and 6 vegetation restoration models for moderately damaged sites.The restoration effects of each model were compared by the grey relation analysis method.According to the results,the rapid vegetation restoration model with high survival rate,soil organic matter content,biomass and high coverage was screened.The screening process and results of the experiment are of great reference values for the rapid vegetation restoration in earthquake-stricken areas.

关 键 词：地震 植被恢复 指标体系 筛选 

分 类 号：Q948[生物学—植物学]