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线性建设对植物影响程度的量化框架

A framework for quantifying the extent of impact to plants from linear construction.

机构信息

Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, China.

State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.

出版信息

Sci Rep. 2017 May 30;7(1):2488. doi: 10.1038/s41598-017-02443-3.

Abstract

We present a novel framework that accurately evaluates the extent of a linear project's effect from the variability of the structure of the plant community while avoiding interference caused by pioneer species and invasive species. This framework was based on the change of dominant species in the plant community affected by construction. TWINSPAN classification and variation of the integrated importance value (IIV) of each plant species group were used to characterize the process of change in the structure of the plant community. Indicator species group and its inflection point were defined and used to judge the extent of the effects of pipelines. Our findings revealed that dominant species in the working area of the pipeline construction were different from the original plant communities. With the disturbance decreased, the composition and structure of the plant communities gradually changed. We considered the outer limit of the area affected by the construction to be the first area in which the plant community reached a steady state and was similar to the original community. The framework could be used in the post eco-environment impact assessment of linear construction to estimate the intensity of disturbance and recovery condition.

摘要

我们提出了一种新的框架,该框架可以通过避免先锋物种和入侵物种造成的干扰,根据植物群落结构的可变性,准确评估线性项目的影响程度。该框架基于受施工影响的植物群落中优势物种的变化。TWINSPAN 分类和每个植物群集综合重要值 (IIV) 的变化用于描述植物群落结构变化的过程。定义了指示物种群及其转折点,并用于判断管道影响的程度。我们的研究结果表明,管道施工工作区的优势物种与原始植物群落不同。随着干扰的减少,植物群落的组成和结构逐渐发生变化。我们认为受施工影响的区域的外部界限是第一个达到稳定状态并类似于原始群落的区域。该框架可用于线性施工的生态环境影响后评估,以估计干扰强度和恢复状况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62c4/5449403/ab6447216879/41598_2017_2443_Fig1_HTML.jpg

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