Implications of movement for species distribution models - Rethinking environmental data tools

Area of Science:

• Ecology
• Biogeography
• Computational Biology

Background:

• Species distribution models (SDMs) traditionally focus on environment-species relationships, neglecting species movement.
• Current movement estimates in SDMs are indirect, limiting insights into habitat accessibility and community interconnectivity.
• Accurate assessment of dispersal potential and community dynamics requires improved movement proxies.

Purpose of the Study:

• To review methods for integrating explicit movement data into SDMs.
• To highlight the need for advanced telemetry and environmental data for mobile species.
• To explore the application of these methods using fish distribution modeling as a case study.

Main Methods:

• Discussing the limitations of current SDMs in representing species movement.
• Exploring the potential of telemetry techniques for providing explicit movement data.
• Examining environmental modeling, remote sensing, and animal-borne sensors for acquiring relevant environmental data.

Main Results:

• Explicit movement data and improved environmental data are essential for accurate SDMs of mobile species.
• The integration of movement data necessitates a re-evaluation of geographical and environmental data representation.
• Fish distribution modeling serves as a relevant case study due to high mobility and complex aquatic environments.

Conclusions:

• Integrating species movement into SDMs is vital for ecological research and conservation.
• Advanced telemetry and environmental data acquisition are critical for future SDM development.
• Improved SDMs will enhance fish stock assessments and water resource management.