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基于地理信息系统的青藏铁路穿越区生态系统恢复力评价

高江波1;赵志强1,2;李双成1   

  1. 1北京大学城市与环境学院, 北京 100871; 2北京大学深圳研究生院城市人居环境科学与技术国家重点实验室, 广东深圳 518055
  • 收稿日期:2008-05-06 修回日期:1900-01-01 出版日期:2008-11-20 发布日期:2008-11-20

Evaluation of ecosystem resilience in the regions across Qinghai-Tibet railway based on GIS.

GAO Jiang-bo1;ZHAO Zhi-qiang1,2;LI Shuang-cheng1   

  1. 1College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;2State Key Laboratory for Environmental and Urban Sciences, Shenzhen Graduate School, Peking University, Shenzhen 518055, Guangdong, China
  • Received:2008-05-06 Revised:1900-01-01 Online:2008-11-20 Published:2008-11-20

摘要: 在明晰生态系统恢复力基本定义及其影响因子性质的基础上,基于地理信息系统(GIS)、均方差决策法和突变级数法,选择物种多样性、群落覆盖度以及群落生物量为指标对青藏铁路穿越区生态系统恢复力进行了定量评估.结果表明:研究区恢复力高值区位于祁连山草甸草原、湟水谷地的针叶林和落叶阔叶林以及唐古拉山以南的嵩草沼泽草甸,而最低值位于柴达木盆地中部和昆仑山山麓.研究区绝大部分区域的生态系统具有强或中等恢复力,整体趋势表现为:在高原面上(昆仑山以南),铁路以北区域的生态系统恢复力等级普遍较低,而在柴达木盆地以东尤其是青海湖地区,表现为铁路以南地区的恢复力等级普遍小于铁路以北地区.通过对生态系统恢复力的评价研究可以找出生态恢复建设的薄弱环节,并确定从哪些方面入手进行恢复更有效,进而可结合脆弱性评价为区域开发提供科学依据,以期避免或尽量减少人为扰动对环境造成的不利影响.

关键词: 植物多样性, 模型, 监测网络

Abstract: Based on GIS technique and the methods of mean-squared deviation weight decision and catastrophe progression, a more clear definition and associated evaluation for ecosystem resilience were given, with a case study in the regions across Qinghai-Tibet railway by using the indices of plant community coverage, species diversity, and biomass. It was shown that the areas with high ecosystem resilience were mainly located in the Qilian Mountain meadow grassland, Huangshui Valley needle-leaved and deciduous broad-leaved forest, and south Tanggula Mountain kobresia swamp meadow, while those with the lowest resilience were in the central part of Qaidam Basin, and the Kunlun Mountains. Most areas in the regions had higher or medium ecosystem resilience, with a trend of that in the south of Kunlun Mountains, the resilience in the north of the railway was lower, while in the east of Qaidam Basin (especially in the Qinghai Lake area), the resilience was lower in the south than in the north of the railway. Through the evaluation of ecosystem resilience, the key issues in the process of ecological resilience could be found, and corresponding effective measures would be pointed out to manage alpine ecosystems. Moreover, combining with the evaluation of vulnerability, scientific basis for regional development could be provided to avoid or mitigate the negative effects of human activities on eco-environment.

Key words: model, plant diversity, monitoring network