A New Method for Estimating Growth Transition Matrices
Article first published online: 30 MAR 2010
© 2010, The International Biometric Society
Volume 67, Issue 1, pages 76–85, March 2011
How to Cite
Hillary, R. M. (2011), A New Method for Estimating Growth Transition Matrices. Biometrics, 67: 76–85. doi: 10.1111/j.1541-0420.2010.01411.x
- Issue published online: 30 MAR 2010
- Article first published online: 30 MAR 2010
- Received March 2009. Revised January 2010. Accepted January 2010.
- Length-based models;
- Transition matrices
Summary The vast majority of population models work using age or stage not length but there are many cases where animals cannot be aged sensibly or accurately. For these cases length-based models form the logical alternative but there has been little work done to develop and compare different methods of estimating growth transition matrices to be used in such models. This article demonstrates how a consistent Bayesian framework for estimating growth parameters and a novel method for constructing length transition matrices accounts for variation in growth in a clear and consistent manner and avoids potential subjective choices required using more established methods. The inclusion of the resultant growth uncertainty in population assessment models and the potential impact on management decisions is also addressed.