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应用生态学报 ›› 2021, Vol. 32 ›› Issue (2): 711-718.doi: 10.13287/j.1001-9332.202102.019

• 综合评述 • 上一篇    下一篇

生态阈值确定方法综述

侯利萍1,2,3, 何萍1,2,3*, 范小杉1,2,3, 徐杰1,2,3, 任颖1,2,3, 李代魁1,2,3   

  1. 1中国环境科学研究院, 北京 100012;
    2国家环境保护区域生态过程与功能评估重点实验室, 北京 100012;
    3环境基准与风险评估国家重点实验室, 北京 100012
  • 收稿日期:2020-07-14 接受日期:2020-12-01 出版日期:2021-02-15 发布日期:2021-08-15
  • 通讯作者: *E-mail: heping@craes.org.cn
  • 作者简介:侯利萍, 女, 1985年生, 硕士研究生, 工程师。主要从事水生态、区域生态安全评价研究。E-mail:houli-ping0506@163.com
  • 基金资助:
    国家重点研发计划项目(2017YFC0506601)和水体污染控制与治理科技重大专项(2017ZX07106004)资助

A review on the methods of determining ecological thresholds

HOU Li-ping1,2,3, HE Ping1,2,3*, FAN Xiao-shan1,2,3, XU Jie1,2,3, REN Ying1,2,3, LI Dai-kui1,2,3   

  1. 1Chinese Research Academy of Environmental Sciences, Beijing 100012, China;
    2State Environmental Protection Key Laboratory of Regional Ecological Processes and Functions Assessment, Beijing 100012, China;
    3State Key Laboratory of Environmental Criteria and Risk Assessment, Beijing 100012, China
  • Received:2020-07-14 Accepted:2020-12-01 Online:2021-02-15 Published:2021-08-15
  • Contact: *E-mail: heping@craes.org.cn
  • Supported by:
    National Key R&D Program of China (2017YFC0506601) and the Major Science and Technology Program for Water Pollution Control and Treatment (2017ZX07106004)

摘要: 生态系统在环境条件变化时表现出的剧变或阈值现象是当前生态学研究的热点,但是生态阈值定量检测的困难阻碍了这一主题的研究与应用。本文从典型案例入手,通过分析潜在生态阈值的S型曲线式、补给-压力式和跃迁式驱动-响应机理,归纳了局部加权回归散点平滑法、分段回归、高斯模型、拐点分析软件、稳态转换检测软件、指示种阈值分析和系统动力学仿真模型7种生态阈值确定方法,并评述了其优缺点和适用性,以期为生态阈值的定量分析研究提供方法借鉴。

关键词: 生态阈值, 定量检测方法, 驱动-响应关系, 稳态转换

Abstract: The drastic changes or threshold phenomena of ecosystems in response to environmental changes are main research focuses in ecology. However, the difficulty in quantitative detection of ecological thresholds hinders the further research progress and application of this topic. Based on typical cases, we analzyed the driving-response mechanism of S-shaped curve type, subsidy-stress type, step type of the potential ecological thresholds. Seven methods to determine ecological thre-shold were summarized, including locally weighted scatterplot smoothing, piecewise regression, Gaussian model, change-point analyzer, regime shift detection, threshold indicator taxa analysis and system dynamics simulation model. The advantages, disadvantages and applicability of those methods were also addressed. This study could provide references for quantitative detection of ecological threshold.

Key words: ecological threshold, quantitative detection method, driving-response relationship, regime shift