Managing uncertainty in movement knowledge for environmental decisions.

Area of Science:

• Ecology
• Conservation Biology
• Environmental Science

Background:

• Species' movements are critical for their adaptation to environmental changes, yet knowledge regarding these movements is often uncertain.
• Existing methods for integrating movement knowledge into conservation are well-established, but a framework for addressing uncertainty in environmental decision-making is lacking.

Purpose of the Study:

• To provide a novel framework for managing uncertainty in species' movement knowledge for environmental decisions.
• To guide conservation planning and policy by addressing the knowledge and relevance dimensions of movement uncertainty.

Main Methods:

• Developed a framework distinguishing between knowledge of species' movement and the relevance of that movement to environmental decisions.
• Outlined decision-support strategies for increasing understanding of movement relevance, enhancing decision robustness to uncertainty, and improving movement knowledge.

Main Results:

• The proposed framework categorizes management decisions based on the uncertainty dimensions of movement knowledge and relevance.
• Decision-support strategies are provided to guide actions for managing movement-related uncertainty across various conservation contexts.

Conclusions:

• The framework effectively integrates species' movement knowledge into conservation planning, agri-environment schemes, habitat restoration, and international biodiversity policy.
• The decision-support system is adaptable to different resource constraints (time and funding), facilitating more effective integration of movement data into environmental management.