Evaluation of feral pig control in Hawaiian protected areas using Bayesian catch-effort models

Abstract

In 2007 The Nature Conservancy (TNC) undertook an intensive ungulate control programme throughout three of its preserves on the Hawaiian islands of Maui and Moloka'i, with one aim being to reduce feral pig numbers to zero or near zero. The preserves were divided into manageable zones and over a 2 to 5 month period hunted from the ground with dogs in a series of up to four sweeps across the zones. More focussed hunting followed at sites with evidence of survivors. We used the data collected by the hunters to evaluate the HIoFDF\�RIWKHFRQWUROSURJUDPPH���7KHGDWDFRPSULVHGWKHQXPEHURISLJVVKRWSHU�)RQHSHUVZHHSDQGWKH� KXQWHUV∂�HIIRUWDQGZHUHXVHGWR�oWD�:HLEXOOFDWFKHIIRUWPRGHOZLWKLQD�%D\HVLDQIUDPHZRUN���7KH�oWWHGPRGHO� provided posterior parameter estimates of the initial number of pigs resident in each zone and the relationship between hunting effort and the probability of detecting (and dispatching) a pig. The large shape parameter estimate indicated that the probability of detecting a pig increased substantially with cumulative hunting effort or experience in that zone. The control programme was successful in six out of eight of the control zones reducing pig numbers to zero or one per zone (equating to <1 pig per km 2 ) but was less successful in two zones where an estimated 9-14 pigs remained. However there were large credible intervals around some of the parameter estimates, suggesting an additional source of variation that was not captured by the current model. We suggest WKLVZDVGXHWRLPPLJUDWLRQRISLJVEDFNLQWRWKHSUHVHUYHV���7KHTXDQWLoHGUHODWLRQVKLSEHWZHHQVHDUFKHIIRUW� and the probability of detecting a pig was used to make predictions on how much effort is required to detect all pigs, and can be used by TNC to interpret future monitoring data.