Estimating sea cucumber abundance and exploitation rates using removal methods
James Prescott A E , Camille Vogel B , Kenneth Pollock B , Samuel Hyson A , Dian Oktaviani C and Anthony Sisco Panggabean DA Australian Fisheries Management Authority, Canberra, ACT 2610, Australia.
B Centre for Fish and Fisheries Research, Murdoch University, Murdoch, WA 6150, Australia.
C Research Center for Fisheries Management and Conservation, Agency for Marine and Fisheries Research, Ministry of Marine Affairs and Fisheries, Jl. Pasir Putih I, Ancol Timur, 14430 Jakarta, Indonesia.
D Research Center for Capture Fisheries, Agency for Marine and Fisheries Research, Ministry of Marine Affairs and Fisheries, Muara Baru Street, Samudera Fisheries Port, North Jakarta, Indonesia.
E Corresponding author. Email: jim.prescott@afma.gov.au
Marine and Freshwater Research 64(7) 599-608 https://doi.org/10.1071/MF12081
Submitted: 21 March 2012 Accepted: 4 March 2013 Published: 8 May 2013
Journal Compilation © CSIRO Publishing 2013 Open Access CC BY-NC-ND
Abstract
Removal methods were used to estimate key fishery parameters, abundance and exploitation rate for five species of tropical sea cucumbers harvested by Indonesian fishers at Scott Reef, north-western Australia. Detailed catch records were kept by the traditional fishers over a period of 58 days as needed for this method, whereas effort was estimated from aerial surveillance. Concurrently, ~1007 artificial sea cucumber surrogates, were distributed and rewards were paid for recovered surrogates. Both datasets were analysed using the Huggins closed-population procedure in program MARK to obtain maximum-likelihood estimates. This procedure allowed inclusion of effort and tide covariates and an initial search phase followed by an exploitation phase. We accounted for extreme over-dispersion which is a common problem in fishery removal data. Our results strongly suggested that some surrogates became unavailable to the fishers. However, results from both datasets demonstrated strong evidence of extreme rates of exploitation on the shallow, drying reef-top habitat. Closed-removal or depletion methods are shown to be a viable method to estimate abundance and exploitation rate for sea cucumbers harvested with intense fishing pressure during a short fishing season.
Additional keywords: invertebrate, management, program MARK, traditional fishery.
References
Anderson, S. C., Mills-Flemming, J., Watson, R., and Lotze, H. K. (2011). Serial exploitation of global sea cucumber fisheries. Fish and Fisheries 12, 317–339.| Serial exploitation of global sea cucumber fisheries.Crossref | GoogleScholarGoogle Scholar |
Burnham, K. P., and Anderson, D. R. (2002). ‘Model Selection and Multi-Model Inference: a Practical Information-Theoretic Approach’. 2nd edn. (Springer-Verlag: New York.)
Cooch, E., and White, G. C. (Eds) (2010). ‘Program MARK, a Gentle Introduction.’ 9th edn. (Colorado State University: Fort Collins, CO.)
Dissanayake, D. C. T., and Stefansson, G. (2012). Present status of the commercial sea cucumber fishery off the north-west coast of Sri Lanka. Journal of the Marine Biological Association of the United Kingdom 92, 831–841.
| Present status of the commercial sea cucumber fishery off the north-west coast of Sri Lanka.Crossref | GoogleScholarGoogle Scholar |
Fox, J., and Sen, S. (2002). A study of socio-economic issues facing traditional Indonesian fishers who access the MoU Box. Environment Australia, Canberra.
Friedman, K., Eriksson, H., Tardy, E., and Pakoa, K. (2011). Management of sea cucumber stocks: patterns of vulnerability and recovery of sea cucumber stocks impacted by fishing. Fish and Fisheries 12, 75–93.
| Management of sea cucumber stocks: patterns of vulnerability and recovery of sea cucumber stocks impacted by fishing.Crossref | GoogleScholarGoogle Scholar |
Gould, W. R., and Pollock, K. H. (1997). Catch-effort maximum likelihood estimation of important population parameters. Canadian Journal of Fisheries and Aquatic Sciences 54, 890–897.
| Catch-effort maximum likelihood estimation of important population parameters.Crossref | GoogleScholarGoogle Scholar |
Heap, A., and Harris, P. T. (2008). Geomorphology of the Australian margin and adjacent sea floor. Australian Journal of Earth Sciences 55, 555–585.
| Geomorphology of the Australian margin and adjacent sea floor.Crossref | GoogleScholarGoogle Scholar |
McCullagh, P., and Nelder, J. A. (1989). ‘Generalized Linear Models.’ (Chapman and Hall: New York.)
Perry, R. I., Walters, C. J., and Boutillier, J. A. (1999). A framework for providing scientific advice for the management of new and developing invertebrate fisheries. Reviews in Fish Biology and Fisheries 9, 125–150.
| A framework for providing scientific advice for the management of new and developing invertebrate fisheries.Crossref | GoogleScholarGoogle Scholar |
Pollock, K. H. (2002). The use of auxilliary variables in capture-recapture modelling: an overview. Journal of Applied Statistics 29, 85–102.
| The use of auxilliary variables in capture-recapture modelling: an overview.Crossref | GoogleScholarGoogle Scholar |
Ricker, W. E. (1958). ‘Handbook of Computation for biological statistics of Fish populations.’ Bulletin 119. (Fisheries Research Board of Canada: Ottawa.)
Russell, D. (2004). Aboriginal–Makassan interactions. Australian Aboriginal Studies 1, 3–17.
Schwerdtner, M. K., and Ferse, S. C. A. (2010). The history of Makassan trepang fishing and trade. PLoS ONE 5, e11346.
| The history of Makassan trepang fishing and trade.Crossref | GoogleScholarGoogle Scholar |
Seber, G. A. F. (1982). ‘The Estimation of Animal Abundance and Related Parameters.’ 2nd edn. (The Blackburn Press: Caldwell, NJ.)
Skewes, T. D., Dennis, D. M., Jacobs, D. R., Gordon, S. R., Taranto, T. J., Haywood, M., Pitcher, C. R., Smith, G. P., Milton, D., and Poiner, I. R. (1999a). Survey and stock size estimates of the shallow reef (0–15 m deep) and shoal area (15–50 m deep) marine resources and habitat mapping within the Timor Sea MOU74 box. Vol. 1: stock estimates and stock status. CSIRO Marine Research, Brisbane.
Skewes, T. D., Gordon, S. R., McLeod, I. R., Taranto, T. J., Dennis, D. M., Jacobs, D. R., Pitcher, C. R., Haywood, M., Smith, G. P., Poiner, I. R., Milton, D. A., Griffin, D., and Hunter, C. (1999b). Survey and stock size estimates of the shallow reef (0–15 m deep) and shoal area (15 – 50 m deep) marine resources and habitat mapping within the MOU74 box. Vol. 2: habitat mapping and coral dieback. CSIRO Marine Research, Brisbane.
Trianni, M. S. (2002). Evaluation of the resource following the sea cucumber fishery of Saipan, Northern Marianas Islands. In ‘Proceedings of the 9th International Coral Reef Symposium, Bali, Indonesia 23–27 October 2000. Vol. 2’. (Eds M. K. Moosa, S. Soemodihardjo, A. Soegiarto, K. Romimohtarto, A. Nontji, Soekarno and Suharsono.) pp. 829–834. Ministry of Environment, the Indonesian Institute of Sciences and the International Society for Reef Studies. Jakarta.
Uthicke, S., Welch, D., and Benzie, J. A. H. (2004). Slow growth and lack of recovery in overfished holothurians on the Great Barrier Reef: evidence from DNA fingerprints and repeated large-scale surveys. Conservation Biology 18, 1395–1404.
| Slow growth and lack of recovery in overfished holothurians on the Great Barrier Reef: evidence from DNA fingerprints and repeated large-scale surveys.Crossref | GoogleScholarGoogle Scholar |
Uthicke, S., Byrne, M., and Conand, C. (2010). Genetic barcoding of commercial Bêche-de-mer species (Echinodermata: Holothuroidea). Molecular Ecology Resources 10, 634–646.
| Genetic barcoding of commercial Bêche-de-mer species (Echinodermata: Holothuroidea).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXpsFSltrg%3D&md5=351668449fab186549746984aa13cc5fCAS | 21565068PubMed |
White, G. C. (2002). Discussion comments on: the use of auxilliary variables in capture–recapture modelling. An overview. Journal of Applied Statistics 29, 103–106.
| Discussion comments on: the use of auxilliary variables in capture–recapture modelling. An overview.Crossref | GoogleScholarGoogle Scholar |
White, G. C., and Burnham, K. P. (1999). Program MARK: survival estimation from populations of marked animals. Bird Study 46, S120–S139.
| Program MARK: survival estimation from populations of marked animals.Crossref | GoogleScholarGoogle Scholar |
Williams, B. K., Nichols, J. D., and Conroy, M. J. (2002). ‘Analysis and Management of Animal Populations.’ (Academic Press: San Diego, CA.)
