Employing species distribution models to bridge knowledge gaps in sea turtle spatial ecology: a global review of scientific literature

Authors

  • Eugenia Pasanisi Sapienza University
  • Daniela Silvia Pace Department of Environmental Biology, Sapienza University of Rome, 00185 Rome, Italy https://orcid.org/0000-0001-5121-7080
  • Arianna Orasi ISPRA, Department for Biodiversity Conservation and Monitoring, Via Brancati 48, 00143 Rome, Italy
  • Marcello Vitale Department of Environmental Biology, Sapienza University of Rome, 00185 Rome, Italy https://orcid.org/0000-0002-3652-7029
  • Antonella Arcangeli ISPRA, Department for Biodiversity Conservation and Monitoring, Via Brancati 48, 00143 Rome, Italy https://orcid.org/0000-0003-2156-9987

DOI:

https://doi.org/10.82008/bmm.v29i1.257

Keywords:

sea turtle, spatial distribution, habitat modeling, conservation

Abstract

Sea turtles are crucial to marine ecosystems and act as key bioindicators of ecosystem health, but understanding their spatial ecology is challenging due to their complex behavior and limited occurrence data. Species Distribution Models (SDMs) are increasingly recognized for their potential to clarify distribution patterns, essential for effective conservation. However, the wide range of modeling techniques available can complicate choosing the most appropriate approach. The study reviewed the application of SDMs to sea turtles across 25 peer-reviewed articles published up to May 2024. It found that SDMs are still underutilized, particularly in areas outside the Atlantic Ocean and for most species except loggerhead and leatherback turtles. Gaps were identified in the use of environmental variables, with a lack of biotic and anthropogenic factors and a preference for similar modeling approaches. Diversifying methodologies and incorporating a broader range of environmental and biotic factors could enhance our understanding in future studies.

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Published

2025-06-03

How to Cite

Pasanisi, E., Pace, D. S., Orasi, A., Vitale, M., & Arcangeli, A. (2025). Employing species distribution models to bridge knowledge gaps in sea turtle spatial ecology: a global review of scientific literature. Biologia Marina Mediterranea, 29(1), 142–145. https://doi.org/10.82008/bmm.v29i1.257