Extending marine species distribution maps using non-traditional sources

Area of Science:

• Ecology and Conservation Biology
• Biodiversity Informatics
• Data Science in Environmental Studies

Background:

• Traditional species occurrence data relies on expert-vetted sources like journals and museums.
• Distribution maps derived from these sources are crucial for species survival assessments.
• Existing data mapping processes involve adapting, extending, or contracting distribution polygons.

Purpose of the Study:

• To discuss the inclusion of novel data sources for species occurrence.
• To explore methods for integrating citizen science data into existing databases.
• To address concerns regarding data quality and value from alternative sources.

Main Methods:

• Discussion during an IUCN Red List Gulf of Mexico Fishes Assessment Workshop.
• Review of advances in portable electronic devices and applications for data collection.
• Analysis of methods for quality assurance of citizen-generated species data.

Main Results:

• Citizen science applications generate point data from species sightings.
• Interest was expressed in incorporating citizen science data into established datasets.
• The need for methods to ascertain the quality and value of citizen science data was highlighted.

Conclusions:

• Recommendations are provided for the quality use of diverse species occurrence data.
• Integrating citizen science data can expand species distribution knowledge.
• Ensuring data quality is paramount for effective conservation and species survival evaluations.