基于能量属性的植物功能群划分方法探索——以内蒙古锡林河流域草原植物群落为例
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金资助项目(30300245, 30771528);大连民族学院人才引进启动基金资助项目(20056102)


Classification of plant functional groups based on the energy attributes: a casestudy on the steppe community in Xilin River basin, Inner Mongolia
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 文章评论
    摘要:

    植物功能群(plant functional groups, PFGs) 是具有确定的植物功能特征的一系列植物的组合,是生态学家为研究植被对气候变化和干扰的响应而引入的生态学概念。目前功能群研究中最核心的问题仍在于决定植物功能群划分的植物特征的选择上。以内蒙古锡林河流域草原植物群落为例,选取3个草原类型(羊草草原、大针茅草原和羊草草甸草原)及其退化梯度系列(未退化、轻度退化、中度退化、重度退化),在对植物热值进行分析测定的基础上,依据植物的能量属性-单位重量干物质在完全燃烧后所释放出来的热量值,采用人为分段的方法对草原植物进行了能量功能群的划分(高能值植物功能群、中能值植物功能群和低能值植物功能群)。并探讨了这种能量功能群划分方法在草原植被动态研究中的客观性与可行性。

    Abstract:

    Plant functional groups(PFGs) is assemblage of plants which have certain functional characteristics, and is an ecological concept introduced by ecologist in order to study the response of vegetation to climate changes and disturbances. At present the key problem about PFGs still is the plant feature selection applying to classication of PFGs. Taking steppe community in Xilin river Basin of Inner Mongolia as the case study area, 12 sampling plots including 3 steppe community types (Leymus chinensis stppe, Stipa grandis steppe, Leymus chinensis meadow steppe) each with 4 degradation intensities (including undegraed, light degraded, morderated degraded, heavy degraded ) were selected, based on the determination of the caloric values for plant species, a new functional classification method named by Energy Plant Functional Groups (ab. Energy PFGs) was set, which grouped the species into 3 groups including high-energy PFGs, moderate-energy PFGs and low-energy PFGs according to the mean caloric value of species by man-made subsection then the objectivity and feasibility of the the Energy PFGs classification methods were discussed.

    参考文献
    相似文献
    引证文献
引用本文

鲍雅静,李政海.基于能量属性的植物功能群划分方法探索——以内蒙古锡林河流域草原植物群落为例.生态学报,2008,28(9):4540~4546

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数: