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Ecological Insights and Management Implications of the Global Migratory Connectivity of Green Turtles

Journal articles  - Journal Article
Restrepo, J; Nisthar, D; Heng, HWK; Bentley, LK; Curtice, C; DeLand, S; Fujioka, E; Halpin, PN; Poulin, SK; Richardson, AJ; Seminoff, JA ...
Published in: Diversity and Distributions
May 1, 2026

Aim: Green turtles are a widely distributed and highly migratory species; despite extensive data on their movement, there is no species-specific global synthesis on the subject. Based on three decades of published literature and building on previous global analyses, we developed a global network model of migratory connectivity for green turtles to better understand their spatial biology. Location: Global. Time Period: 1990–2022. Major Taxa Studied: Green Sea Turtle (Chelonia mydas). Methods: We conducted a structured literature review extracting georeferenced information on the movement of green turtles from 1990 to 2022, aggregating this information into a single connectivity model, defining nodes of connectivity. We evaluated connectivity routes from nesting areas to foraging sites for each RMU, identifying trajectories moving outside and across the boundaries of these areas. Results: We found a total of 113 sources informing migratory connectivity globally. We identified 474 sites, representing locations where green turtles were observed (124 being nesting sites). Migratory connections, derived from both long-term (≥ 1 year) and short-term (< 12 months) tracking data, ranged from resident turtles that never left their nesting sites to rookeries connected to as many as 20 different locations, some over 5000 km apart. This long-distance connectivity exposes populations to threats across disparate locations. Most connections traversed national jurisdictions, including crossing different Regional Management Units. Main Conclusions: We compiled the largest available dataset describing movement of green turtles worldwide and present the most comprehensive global model of their migratory connectivity. This model provides ecological insights into regional differences in life histories, identifies geographic and demographic gaps in sampling, and provides baseline information on connectivity to support transboundary management of green turtle populations. The study reiterates the need for larger collaborative efforts to aggregate knowledge beyond local jurisdictions, to inform and align effective management measures to protect this historically threatened species.

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Published In

Diversity and Distributions

DOI

EISSN

1472-4642

ISSN

1366-9516

Publication Date

May 1, 2026

Volume

32

Issue

5

Related Subject Headings

  • Ecology
  • 41 Environmental sciences
  • 31 Biological sciences
 

Citation

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Chicago
ICMJE
MLA
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Restrepo, J., Nisthar, D., Heng, H. W. K., Bentley, L. K., Curtice, C., DeLand, S., … Dunn, D. C. (2026). Ecological Insights and Management Implications of the Global Migratory Connectivity of Green Turtles. Diversity and Distributions, 32(5). https://doi.org/10.1111/ddi.70196
Restrepo, J., D. Nisthar, H. W. K. Heng, L. K. Bentley, C. Curtice, S. DeLand, E. Fujioka, et al. “Ecological Insights and Management Implications of the Global Migratory Connectivity of Green Turtles.” Diversity and Distributions 32, no. 5 (May 1, 2026). https://doi.org/10.1111/ddi.70196.
Restrepo J, Nisthar D, Heng HWK, Bentley LK, Curtice C, DeLand S, et al. Ecological Insights and Management Implications of the Global Migratory Connectivity of Green Turtles. Diversity and Distributions. 2026 May 1;32(5).
Restrepo, J., et al. “Ecological Insights and Management Implications of the Global Migratory Connectivity of Green Turtles.” Diversity and Distributions, vol. 32, no. 5, May 2026. Scopus, doi:10.1111/ddi.70196.
Restrepo J, Nisthar D, Heng HWK, Bentley LK, Curtice C, DeLand S, Fujioka E, Halpin PN, Poulin SK, Richardson AJ, Seminoff JA, Valverde RA, Dunn DC. Ecological Insights and Management Implications of the Global Migratory Connectivity of Green Turtles. Diversity and Distributions. 2026 May 1;32(5).
Journal cover image

Published In

Diversity and Distributions

DOI

EISSN

1472-4642

ISSN

1366-9516

Publication Date

May 1, 2026

Volume

32

Issue

5

Related Subject Headings

  • Ecology
  • 41 Environmental sciences
  • 31 Biological sciences