Tropical islands quick data gap analysis guided by coral reef geomorphological maps

Area of Science:

• Marine Biology
• Geospatial Analysis
• Conservation Science

Background:

• Data gap analysis is essential for targeted research and conservation efforts.
• Assessing data coverage against objective references for priority areas remains a challenge.
• Existing methods can be time-consuming, hindering rapid identification of critical research needs.

Purpose of the Study:

• To develop a quick, effective, and reproducible spatial data gap analysis approach for marine environments.
• To identify areas with high coral reef geomorphological richness but limited biological data coverage.
• To provide a method for prioritizing data acquisition in data-deficient regions.

Main Methods:

• A spatial analysis correlating the location of available metadata with coral reef geomorphological richness.
• Focusing solely on metadata collection to bypass data ownership, availability, and format issues.
• Application of the method in the Solomon Islands as a case study.

Main Results:

• Successfully identified data gaps characterized by high geomorphological richness and low biological data coverage in the Solomon Islands.
• The metadata-centric approach allowed for gap identification in under two months.
• Demonstrated the method's effectiveness in highlighting areas of significant natural value with limited existing knowledge.

Conclusions:

• The described spatial data gap analysis is a fast and efficient tool for identifying priority areas for data acquisition.
• This method complements comprehensive gap analyses by rapidly pinpointing areas of high natural value and limited knowledge.
• The approach is highly applicable to large and complex marine domains, such as the Coral Triangle, aiding conservation planning.