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九寨沟地震灾后植被恢复过程中树种筛选 被引量:3

Screening of Tree Species for Vegetation Restoration in Jiuzhaigou Earthquake-stricken Areas
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摘要 通过实地调查对九寨沟地震灾区植物进行分析研究,结合选择的8种乔木和8种灌木实生苗原位盆栽试验,通过对实生苗存活率、高度、土壤含水率、冠幅(乔木)、盖度(灌木)、郁闭度(乔木)、土壤总孔隙度、土壤有机质、土壤酶活性和土壤细菌多样性等指标进行统计,采用层次分析法从中优选出具有明显优势的紫果云杉(Picea purpurea)、红桦(Betula albosinensis)、黄果冷杉(Abies ernestii)、油松(Pinus tabuliformis)和疏花槭(Acer laxiflorum)等5种乔木和花楸(Sorbus pohuashanensis)、缺苞箭竹(Fargesia denudata)、高山柳(Salix cupularis)及红花蔷薇(Rosa moyesii)等4种灌木,作为植被修复推广的树种。本研究为推进九寨沟灾后人工植被恢复提供了基础和依据。 Based on field investigation,the plants in Jiuzhaigou earthquake-stricken areas were analyzed and studied.In this paper,8 kinds of tree seedling species and 8 kinds of shrub seedling species were selected for in-situ pot experiment,and the index such as seedling survival rate,height,soil moisture content,crown width(tree),coverage(shrub),canopy density(tree),soil total porosity,soil organic matter and soil enzyme activity and soil bacterial diversity were analyzed.The results showed that 5 dominant tree species including Picea purpurea,Betula albosinensis,Abies ernestii,Pinus tabuliformis and Acer laxiflorum,and 4 shrub species including Sorbus pohuashanensis,Fargesia denudata,Salix cupularis and Rosa moyesii,were screened for vegetation restoration.This study provides the foundation and basis for vegetation restoration in Jiuzhaigou earthquake-stricken areas.
作者 张炜 代金莉 贺维 吴世磊 苏宇 陈涤非 鄢武先 邓东周 黄春萍 陈永林 ZHANG Wei;DAI Jinli;HE Wei;WU Shilei;SU Yu;CHEN Difei;YAN Wuxian;DENG Dongzhou;HUANG Chunping;CHEN Yonglin(Sichuan Key Laboratory of Ecological Restoration and Conservation for Forest and Wetland,Sichuan Academy of Forestry,Chengdu 610081,China;College of Life Sciences,Sichuan Normal University,Chengdu 610066,China;Jiuzhaigou Bureau of Forestry and Grassland,Aba 624000,China)
出处 《四川林业科技》 2020年第6期117-123,共7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修复模式研究与示范项目(九发行批(2018)128号) 成都市科技局重点研发支撑计划(2018-YF05-01448-SN)。
关键词 九寨沟地震灾区 植被修复 树种 筛选 Jiuzhaigou earthquake-stricken area Tree species Vegetation restoration Screen
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