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Mapping the past for the future: Spatial and temporal patterns and long-term trends of sea turtle strandings in Hong Kong and wider East Asian waters

  • Brian Chin Wing Kot* (Co-first Author)
  • , Tabris Yik To Chung (Co-first Author)
  • , Virgilius Martin Kelake Kedang
  • , Henry Chun Lok Tsui
  • , Chun Keat Ooi
  • , Heysen Hei Nam Ho
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

Sea turtle strandings provide critical insights into population health and anthropogenic threats, yet long-term data remain scarce for East Asia region, including Hong Kong waters. Here we retrospectively analysed 23 years (2002–2024) of 223 (58 live, 165 deceased) sea turtle stranding records to characterize species composition, demographics, temporal trends, spatial hotspots, and causes of stranding. Standardized Level A data were compiled, complemented since 2019 by virtopsy-integrated necropsy (postmortem CT, 3D surface scanning), and analysed using generalized additive models (GAMs; Poisson family) for temporal trends; kernel density estimation (KDE) and Getis-Ord Gi* statistics for spatial clustering and hotspot detection. Green turtles (Chelonia mydas) dominated (76.7%, n = 171), primarily juveniles, with hawksbill (Eretmochelys imbricata; 7.2%), loggerhead (Caretta caretta; 5.4%), olive ridley (Lepidochelys olivacea; 3.6%), leatherback (Dermochelys coriacea; 0.8%), and unidentified (6.3%). GAMs revealed a significant nonlinear increasing trend over the study period (adjusted R2 = 0.595, p < 0.001), with the fitted smooth visually levelling after 2018, and seasonal peaks in spring (Mar–May) and autumn (Sep–Nov). Spatial hotspots concentrated in eastern and southern waters, including marine protected areas. Cause of stranding was determined conservatively based on pathognomonic lesions identified through virtopsy-integrated necropsy; undetermined cases predominated (78.5%, n = 175), followed by anthropogenic causes (17.5%, n = 39), other causes (typhoon entrapment, buoyancy disorder) (2.7%, n = 6), and natural causes (1.3%, n = 3). The most common anthropogenic cause of stranding was fishery interaction including bycatch and fishing gear entanglement (n = 23/39), vessel collision (n = 9/39), and pollution (n = 7/39). Limitation of this study included the majority of cause of strandings were classified as undetermined, underscoring the urgent need for enhancements in stranding investigation methodologies. This first long-term assessment for Hong Kong integrates advanced postmortem imaging with spatial and temporal modelling. Eastern and southern spatial hotspots and spring/autumn seasonal peaks warrant priority fishery bycatch mitigation, vessel speed restrictions, and targeted stranding patrols to enhance East Asian sea turtle conservation. © 2024. Published by Elsevier B.V.
Original languageEnglish
Article number103735
Number of pages15
JournalEcological Informatics
Volume95
Online published23 Mar 2026
DOIs
Publication statusPublished - May 2026

Funding

We would like to thank the Agriculture, Fisheries and Conservation Department of the Government of Hong Kong Special Administrative Region of the People's Republic of China for providing data and the continuous support in this project. Sincere appreciation is also extended to all the related personnel from the Aquatic Animal Virtopsy Lab, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, and Veterinary Hospital and Grand Aquarium, Zoological Operations and Conservation, Ocean Park Hong Kong. Special gratitude is owed to technicians in CityU Veterinary Medical Centre for operating the CT units in this study. This project is financially supported by Environment and Conservation Fund (grant numbers: ECF 2019-10, EECA 2467) of the Hong Kong Special Administrative Region, the Marine Conservation Enhancement Fund (grant number: MCEF21005), the Marine Ecology Enhancement Fund (grant numbers: MEEF2023003, MEEF2023003A) of the Marine Ecology & Fisheries Enhancement Funds Trustee Limited, and the Research Matching Grant Scheme (grant numbers: 9229157, 9229186) of the University Grants Committee. Any opinions, findings, conclusions, or recommendations expressed herein do not necessarily reflect the views of the Government of the Hong Kong Special Administrative Region, the Environment and Conservation Fund and the Environmental Campaign Committee; the views of the HKLTL, CAPCO and HK Electric, and the Marine Conservation Enhancement Fund; the views of the Marine Ecology Enhancement Fund or the Trustee, and the views of the University Grants Committee.

Research Keywords

  • Conservation management
  • East Asia
  • Hong Kong
  • Sea turtle
  • Spatial analysis
  • Strandings
  • Temporal analysis

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC 4.0. https://creativecommons.org/licenses/by-nc/4.0/

RGC Funding Information

  • RGC-funded

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