Skip to main content
padlock icon - secure page this page is secure

First evidence that marine protected areas can work for marine mammals

Buy Article:

$52.00 + tax (Refund Policy)

Summary

1. Marine protected areas (MPAs) have been advocated for the protection of threatened marine mammals, but there is no empirical evidence that they are effective. In 1988, the Banks Peninsula Marine Mammal Sanctuary was established to reduce gillnet mortalities of Hector’s dolphin Cephalorhynchus hectori, an endangered dolphin species endemic to New Zealand. This study assesses the effectiveness of the MPA in improving the survival rate of Hector’s dolphin at Banks Peninsula.

2. Over 21 years, we undertook photo‐identification surveys of Hector’s dolphins along standardized transects from small outboard‐powered boats. From 1986 to 2006, we photographically captured 462 reliably marked individuals. We estimated mean annual survival during the pre‐sanctuary and post‐sanctuary periods by applying a Bayesian random effects capture‐recapture model to the data. Population growth was estimated from population simulations using a stage‐structured matrix model.

3. We estimate a 90% probability that survival has improved between the pre‐sanctuary and post‐sanctuary periods, with estimates of mean survival probability increasing by 5·4% (from 0·863 to 0·917). This improvement in survival corresponds to a 6% increase in mean annual population growth (from 0·939 to 0·995).

4.Synthesis and applications. Our study demonstrates improvement in a demographic parameter of an endangered marine mammal species following conservation action. Our results provide evidence that area‐based protection measures can be effective for marine mammals. We note that estimating demographic parameters in marine mammals requires many years of data to achieve sufficient precision to detect biologically meaningful change. MPAs should be established with a commitment to long‐term monitoring.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Document Type: Research Article

Affiliations: 1: Department of Zoology, University of Otago, PO Box 56, Dunedin 9054, New Zealand 2: Department of Marine Science, University of Otago, PO Box 56, Dunedin 9054, New Zealand 3: Department of Mathematics and Statistics, University of Otago, PO Box 56, Dunedin 9054, New Zealand

Publication date: April 1, 2012

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more