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Time-dependent instantaneous mortality rates from multiple tagging experiments with exact times of release and recovery

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Leigh, G.M., Hearn, W.S. and Pollock, K.H. (2006) Time-dependent instantaneous mortality rates from multiple tagging experiments with exact times of release and recovery. Environmental and Ecological Statistics, 13 (1). pp. 89-108.

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Article Link: http://dx.doi.org/10.1007/s10651-005-5693-z

Publisher URL: http://www.springerlink.com


Instantaneous natural mortality rates and a nonparametric hunting mortality function are estimated from a multiple-year tagging experiment with arbitrary, time-dependent fishing or hunting mortality. Our theory allows animals to be tagged over a range of times in each year, and to take time to mix into the population. Animals are recovered by hunting or fishing, and death events from natural causes occur but are not observed. We combine a long-standing approach based on yearly totals, described by Brownie et al. (1985, Statistical Inference from Band Recovery Data: A Handbook, Second edition, United States Fish and Wildlife Service, Washington, Resource Publication, 156), with an exact-time-of-recovery approach originated by Hearn, Sandland and Hampton (1987, Journal du Conseil International pour l'Exploration de la Mer, 43, 107-117), who modeled times at liberty without regard to time of tagging. Our model allows for exact times of release and recovery, incomplete reporting of recoveries, and potential tag shedding. We apply our methods to data on the heavily exploited southern bluefin tuna (Thunnus maccoyii).

Item Type:Article
Corporate Creators:Fisheries
Additional Information:© Springer Science + Business Media Inc.
Keywords:Fishing mortality; hunting mortality; natural mortality; nonparametric estimation; tag shedding; tuna reporting rate estimation; southern bluefin tuna; natural mortality; models; estimator; recapture; survival; returns.
Subjects:Aquaculture and Fisheries > Fisheries > Fishery for individual species
Science > Statistics > Mathematical statistics
Science > Statistics > Statistical data analysis
Live Archive:25 Feb 2009 04:51
Last Modified:03 Sep 2021 16:47

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