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我国喀斯特植被根系生态学研究进展
引用本文:吴静,盛茂银.我国喀斯特植被根系生态学研究进展[J].植物科学学报,2021,38(4):565-573.
作者姓名:吴静  盛茂银
作者单位:1. 贵州师范大学喀斯特研究院, 贵阳 550001; 2. 国家喀斯特石漠化治理工程技术研究中心, 贵阳 550001; 3. 贵州省喀斯特石漠化防治与衍生产业工程实验室, 贵阳 550001
基金项目:国家自然科学基金项目(31660136);贵州省科学技术基金(黔科合基础[2019]1224号);贵州省优秀青年科技人才支持计划项目(黔科合平台人才[2017]5638);贵州省普通高等学校科技拔尖人才支持计划(黔教合KY字[2016]064)。
摘    要:我国传统的植被根系生态学研究主要针对热带、亚热带、温带以及西部干旱半干旱的非喀斯特地区,而对喀斯特地区植被根系生态学的研究甚少,对其认识相对零散和片段化。该文对我国喀斯特地区植被生境特点、根系特征(根系生物量、根系构型、根系化学养分)、自然因子和人为因子对根系生态学特征的影响,以及植被根系与植被演替、碳循环、全球变化的关系等进行综述,并对今后喀斯特地区植被根系的研究方向及发展趋势进行展望,旨在为我国喀斯特植被根系生态学的深入研究提供参考。

关 键 词:喀斯特  根系  生境  生态学特征  影响因子  

Research progress in root ecology of karst vegetation in China
Wu Jing,Sheng Mao-Yin.Research progress in root ecology of karst vegetation in China[J].Plant Science Journal,2021,38(4):565-573.
Authors:Wu Jing  Sheng Mao-Yin
Institution:1. Institute of Karst Research, Guizhou Normal University, Guiyang 550001, China; 2. National Engineering Research Center for Karst Rocky Desertification Control, Guiyang 550001, China; 3. Guizhou Engineering Laboratory for Karst Rocky Desertification Control and Derivative Industry, Guiyang 550001, China
Abstract:Traditional research on root ecology of vegetation in China has mainly focused on tropical, subtropical, temperate, arid, and semi-arid non-karst areas in the west of China. To date, little research has been conducted on the root ecology of vegetation in karst areas, and current understanding is relatively fragmented. In this paper, the vegetation habitat characteristics, root system characteristics (root biomass, architecture, chemical nutrients), effects of natural and human factors on root ecological characteristics, and relationship between vegetation root and vegetation succession, carbon cycle, and global change are reviewed. We also discuss future research directions and development trends of vegetation root systems in karst areas. This study aims to provide a reference for further research on karst vegetation root ecology in China.
Keywords:Karst  Root  Habitat  Ecological characteristics  Influencing factors  
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