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Pacific Conservation Biology Pacific Conservation Biology Society
A journal dedicated to conservation and wildlife management in the Pacific region.
RESEARCH ARTICLE

Turtle density around Mussau Island, Papua New Guinea: with notes on the practicality of in-water distance sampling

Azalea Anota A B and Nathan Whitmore https://orcid.org/0000-0002-7811-5102 A C
+ Author Affiliations
- Author Affiliations

A Wildlife Conservation Society Papua New Guinea, PO Box 277, Goroka, Eastern Highlands Province, Papua New Guinea.

B University of Papua New Guinea, School of Natural and Physical Sciences, PO Box 320, University, Waigani Drive, National Capital District, Port Moresby, Papua New Guinea.

C Corresponding author. Email: nathan@reproducible.co.nz

Pacific Conservation Biology 28(1) 90-96 https://doi.org/10.1071/PC20071
Submitted: 8 September 2020  Accepted: 28 February 2021   Published: 24 March 2021

Abstract

Despite sea turtles in Papua New Guinea being culturally important and heavily harvested, no in-country density estimates have been previously established. We provide the first estimates of sea turtle density in Papua New Guinea from two locations around Mussau Island where turtle consumption is banned due to religious beliefs. We obtained density estimates using a low-cost, in-water distance sampling method. Our monitoring shows that the island has a high density of sea turtles (almost exclusively Chelonia mydas). At Lolieng, a site with a steep reef drop off, we recorded a mean of 7.4 turtles ha−1 (s.d. = 2.6) at the reef crest during low tide (across all sampling occasions), which is comparable to high density sites globally. By comparison, we recorded a much lower estimate of 1.1 turtles ha−1 (s.d. = 0.4) at Nae, a site with an extensive, low profile reef system. Additionally, our modelling shows that tidal cycle is an essential covariate for assessing sea turtle density for in-water distance sampling. We advocate that Papua New Guinea needs to invest in long-term monitoring at a national scale to track the sustainability of this important cultural resource, and that in-water distance sampling is a low cost monitoring method that potentially could be used for this purpose albeit subject to certain caveats.

Keywords: conservation, coral reefs, culture, marine conservation, Mussau Island, Papua New Guinea, sea turtle, sustainable conservation, wildlife management.


References

Allen, M. S. (2007). Three millennia of human and sea turtle interactions in remote Oceania. Coral Reefs 26, 959–970.
Three millennia of human and sea turtle interactions in remote Oceania.Crossref | GoogleScholarGoogle Scholar |

Benson, C. S. (2012). Shifting accountabilities? Understanding the connections between national and provincial fisheries in Papua New Guinea. Marine Policy 36, 859–866.
Shifting accountabilities? Understanding the connections between national and provincial fisheries in Papua New Guinea.Crossref | GoogleScholarGoogle Scholar |

Brownie, J., and Brownie, M. (2007). ‘Mussau Grammar Essentials. Data Papers on Papua New Guinea Languages. Vol. SIL-PNG 52.’ (Academic Publications: Ukarumpa.)

Buckland, S. T., Rexstad, E. A., Marques, T. A., and Oedekoven, C. S. (2015). ‘Distance sampling: methods and applications. Methods in Statistical Ecology.’ (Springer: Charm.)

Burnham, K. P., and Anderson, D. R. (2002). ‘Model Selection and Inference: a Practical Information- theoretic Approach’, 2nd edn. (Springer-Verlag: New York.)

Drummond, F. M., and Armstrong, D. P. (2019). Use of distance sampling to measure long-term changes in bird densities in a fenced wildlife sanctuary. New Zealand Journal of Ecology 43, 1–9.
Use of distance sampling to measure long-term changes in bird densities in a fenced wildlife sanctuary.Crossref | GoogleScholarGoogle Scholar |

Fiske, I., and Chandler, R. (2011). unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance. Journal of Statistical Software 43, 1–23.
unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance.Crossref | GoogleScholarGoogle Scholar |

Hanna, P., and Vanclay, F. (2013). Human rights, indigenous peoples and the concept of free, prior and informed consent. Impact Assessment and Project Appraisal 31, 146–157.
Human rights, indigenous peoples and the concept of free, prior and informed consent.Crossref | GoogleScholarGoogle Scholar |

Humber, F., Godley, B. J., and Broderick, A. C. (2014). So excellent a fishe: a global overview of legal marine turtle fisheries. Diversity and Distributions 20, 579–590.
So excellent a fishe: a global overview of legal marine turtle fisheries.Crossref | GoogleScholarGoogle Scholar |

Johannes, R. E. (1978). Traditional marine conservation methods in Oceania and their demise. Annual Review of Ecology and Systematics 9, 349–364.
Traditional marine conservation methods in Oceania and their demise.Crossref | GoogleScholarGoogle Scholar |

Lal, A., Arthur, R., Marbà, N., Lill, A. W., and Alcoverro, T. (2010). Implications of conserving an ecosystem modifier: increasing green turtle (Chelonia mydas) densities substantially alters seagrass meadows. Biological Conservation 143, 2730–2738.
Implications of conserving an ecosystem modifier: increasing green turtle (Chelonia mydas) densities substantially alters seagrass meadows.Crossref | GoogleScholarGoogle Scholar |

Mazerolle, M. J. (2017). AICcmodavg: Model selection and multimodel inference based on (Q)AIC(c). R package ver. 2.1-1. Available at https://cran.r-project.org/web/packages/AICcmodavg/

R Core Team. (2020). ‘R: A language and environment for statistical computing.’ (R Foundation for Statistical Computing. Vienna, Austria.) Available at https://www.R-project.org/

Reisser, J., Proietti, M., Sazima, I., Kinas, P., Horta, P., and Secchi, E. (2013). Feeding ecology of the green turtle (Chelonia mydas) at rocky reefs in western South Atlantic. Marine Biology 160, 3169–3179.
Feeding ecology of the green turtle (Chelonia mydas) at rocky reefs in western South Atlantic.Crossref | GoogleScholarGoogle Scholar |

Royle, J. A., Dawson, D. K., and Bates, S. (2004). Modeling abundance effects in distance sampling. Ecology 85, 1591–1597.
Modeling abundance effects in distance sampling.Crossref | GoogleScholarGoogle Scholar |

Seminoff, J. A. (2004). ‘Chelonia mydas. The IUCN Red List of Threatened Species 2004. e.T4615A11037468.’ Available at10.2305/IUCN.UK.2004.RLTS.T4615A11037468.en [Accessed 30 October 2019].

Spring, S. (1981). Marine turtles in the Manus Province: a study of the social, cultural and economic implications of the traditional exploitation of marine turtles in the Manus Province of Papua New Guinea. Journal de la Société des Oceanistes 37, 169–174.
Marine turtles in the Manus Province: a study of the social, cultural and economic implications of the traditional exploitation of marine turtles in the Manus Province of Papua New Guinea.Crossref | GoogleScholarGoogle Scholar |

Strindberg, S., Coleman, R. A., Perez, V. R. B., Campbell, C. L., Majil, I., and Gibson, J. (2016). In-water assessments of sea turtles at Glover’s Reef Atoll, Belize. Endangered Species Research 31, 211–225.
In-water assessments of sea turtles at Glover’s Reef Atoll, Belize.Crossref | GoogleScholarGoogle Scholar |

Tapilatu, R. F., Wona, H., and Batubara, P. P. (2017). Status of sea turtle populations and its conservation at Bird’s Head Seascape, Western Papua, Indonesia. Biodiversitas 18, 129–136.
Status of sea turtle populations and its conservation at Bird’s Head Seascape, Western Papua, Indonesia.Crossref | GoogleScholarGoogle Scholar |

Whitmore, N. (Ed.). (2015). ‘A rapid biodiversity survey of Papua New Guinea’s Manus and Mussau Islands.’ (Wildlife Conservation Society, Papua New Guinea Program: Goroka.)

Wickham, H. (2017). ‘tidyverse: Easily Install and Load the ‘Tidyverse’. R package ver. 1.2.1.’ Available at https://cran.r-project.org/web/packages/tidyverse/