A process framework for integrating stressor-response functions into cumulative effects models.

Area of Science:

• Ecology
• Environmental Science
• Conservation Biology

Background:

• Stressor-response (SR) functions are vital for ecological models assessing environmental variation and human impacts.
• Cumulative effects (CE) models are essential for managing diffuse anthropogenic footprints on ecosystems.

Purpose of the Study:

• To provide a process framework for identifying, developing, and integrating SR functions into CE models.
• To highlight key properties, criteria, and approaches for deriving SR functions.
• To guide the application of SR functions in ecological management and decision-making.

Main Methods:

• Development of a conceptual framework for SR function integration into CE models.
• Identification of criteria for selecting appropriate stressors and response variables.
• Discussion of empirical and mechanistic approaches for deriving SR functions.
• Consideration of data availability and uncertainty in SR function parameterization.

Main Results:

• A structured approach for building and applying SR functions within CE models is presented.
• The framework addresses the selection of relevant stressors and responses based on management objectives and data.
• Methods for deriving both empirical and mechanistic SR functions are discussed.
• Strategies for managing uncertainty and stressor interactions in CE modeling are outlined.

Conclusions:

• SR functions are fundamental to CE modeling for effective environmental management.
• Iterative refinement of SR functions through adaptive management is key to reducing uncertainty.
• Understanding and strategically utilizing stressor interactions can enhance mitigation efforts.