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四川植被研究的回顾与展望 被引量:3

Review and prospect of vegetation research in Sichuan
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摘要 借《中国植被志》编研与新一代中国植被图制图工作开展的契机,本文对四川省植被研究历史进行了回顾,分析了近40年来四川植被变化的影响因素,结合近年来的野外补充调查和文献资料,参考《中国植被》《中国植被及其地理格局》以及近期国内发表的植被分类系统,新拟了四川省植被制图分类系统(植被型组、植被型、群系三级),并对未来四川省植被研究提出几点希望:(ⅰ)四川植被分类系统总体上应与全国分类系统保持一致,个别单位上可以体现区域性的特点;(ⅱ)采用新技术、新方法加强四川省资料贫乏类型、区域的植被补充调查;(ⅲ)尽早启动《四川植被》的修订以及新一代四川省植被图编研工作,并建立可更新的数据库,为以后四川植被图的定期更新奠定基础. This paper reviews the vegetation research history in Sichuan Province and analyzes the influencing factors of vegetation change in the past 40 years. Furthermore, a new cartographic classification system of Sichuan vegetation(e.g., vegetation type groups,vegetation types, alliances) is proposed by referring to recent field surveys, literature, and several significant vegetation classification systems in China. Additionally, some expectations for future research on Sichuan vegetation are proposed. First, the Sichuan Vegetation Classification System should be consistent with the national classification system, and regional characteristics can be reflected in individual units. Second, new techniques and methods can be used to supplement the investigation of vegetation types and areas in Sichuan Province. Finally, the revision and compilation of Sichuan vegetation and the Sichuan vegetation map should begin as soon as possible. Meanwhile, a renewable database should be established to lay a foundation for the frequent updating of vegetation maps in the future.
作者 胡君 李丽 杜燕 陈庆恒 刘庆 HU Jun;LI Li;DU Yan;CHEN QingHeng;LIU Qing(Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization&Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province,Chengdu Institute of Biology,Chinese Academy of Sciences,Chengdu 610041,China)
出处 《中国科学:生命科学》 CSCD 北大核心 2021年第3期264-274,共11页 Scientia Sinica(Vitae)
基金 中国科学院战略性先导科技专项(A类)(批准号:XDA19050401) 科技部科技基础性工作专项(批准号:2015FY210200,2015FY110300)资助。
关键词 四川植被 四川植被图 植被研究 植被分类系统 植被变化 vegetation of Sichuan vegetation map of Sichuan vegetation study vegetation classification system vegetation variation
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