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Published on: April 28, 2023
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A review on the methods of determining ecological thresholds
Li-Ping Hou1,2,3, Ping He1,2,3, Xiao-Shan Fan1,2,3
1Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Summary
Ecological thresholds, critical tipping points in ecosystems, are hard to quantify. This study analyzes threshold mechanisms and reviews seven methods for their quantitative detection, aiding ecological research.
Area of Science:
- Ecology
- Environmental Science
Background:
- Ecosystems exhibit threshold phenomena in response to environmental changes, a key focus in ecological research.
- Quantitative detection of these ecological thresholds remains a significant challenge, impeding progress and application.
Purpose of the Study:
- To analyze the driving-response mechanisms of different ecological threshold types (S-shaped, subsidy-stress, step).
- To summarize and evaluate seven methods for the quantitative determination of ecological thresholds.
- To provide a reference for researchers engaged in the quantitative detection of ecological thresholds.
Main Methods:
- Analysis of driving-response mechanisms for S-shaped, subsidy-stress, and step threshold types.
- Review and comparison of seven quantitative threshold detection methods: locally weighted scatterplot smoothing, piecewise regression, Gaussian model, change-point analyzer, regime shift detection, threshold indicator taxa analysis, and system dynamics simulation.
Main Results:
- Detailed analysis of potential ecological threshold mechanisms based on typical cases.
- Comprehensive summary of seven distinct methods for ecological threshold determination.
- Evaluation of the advantages, disadvantages, and applicability of each reviewed method.
Conclusions:
- Understanding threshold mechanisms is crucial for ecological research.
- A variety of quantitative methods exist for detecting ecological thresholds, each with specific applications.
- This review offers valuable guidance for selecting appropriate methods for ecological threshold analysis.
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