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Lessons from other disciplines for setting management thresholds for biodiversity conservation.

Mairi Hilton¹, Jessica C Walsh¹, Erin Liddell¹

¹School of Biological Sciences, Monash University, Clayton, Victoria, Australia.

Conservation Biology : the Journal of the Society for Conservation Biology

|November 23, 2021

Summary

State-dependent management uses thresholds to maintain desired system states. Reviewing 843 studies across 22 industries reveals diverse methods, offering valuable insights for conservation management interventions.

Keywords:

decision triggers detonantes de decisiones evidence-based management gestión basada en evidencias gestión dependiente del estado proactive management punto de activación state-dependent management structured decision-making toma estructurada de decisiones trigger point

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Area of Science:

Ecology
Conservation Biology
Systems Management

Background:

State-dependent management aims to maintain systems in desired states using defined boundaries and action plans.
This approach is common in various sectors but relatively new to conservation management, despite practitioner interest.
Concerns exist regarding the lack of robust processes for implementing state-dependent management in conservation.

Purpose of the Study:

To review literature on threshold-based management across diverse industries.
To identify methods for setting management thresholds and potential lessons for conservation.
To understand how different objectives influence threshold setting and action selection.

Main Methods:

Conducted an extensive literature review of threshold-based management.
Analyzed 843 studies from 22 industries, identifying 75 different threshold-setting methods.
Categorized methods into six broad approaches: expert-driven, statistical, predictive, optimization, experimental, and artificial intelligence.

Main Results:

Identified 75 threshold-setting methods across 22 industries, spanning six broad approaches.
Found that study objectives influenced the methods used for setting thresholds and selecting actions.
Observed that expert judgment, often supported by computational tools, plays a significant role in threshold setting across industries.

Conclusions:

Methods from other disciplines can inform conservation decision-making for setting management thresholds.
Implementing threshold-based management can link monitoring to timely and effective conservation actions.
Adopting diverse threshold-setting approaches can enhance the robustness of conservation management systems.