Diana gave talk as part of Statistical Ecology seminar double bill

On Thursday 6th October Diana gave a talk as part of Statistical Ecology seminar double bill. The other speaker was Ruth King from the University of Edinburgh. The Seminar was jointly hosted by the Royal Statistical Society (RSS) Glasgow Local Groups, the RSS Environmental Statistics Section and the Boyd Orr Centre for Population and Ecosystem Health.

The talk was entitled Parameter Redundancy and Identifiability in Ecological Models and talk slides are available here: Talk Slides


New SE@K PhD student – Alex Diana

SE@K has welcomed new PhD student, Alex Diana, who is supervised by Dr Eleni Matechou and Professor Jim Griffin as well as Dr Alison Johnston from the BTO.

He is working on “Bayesian nonparametric models for the study of migration patterns of UK bird populations.”


Paper: Temporally varying natural mortality: Sensitivity of a virtual population analysis and an exploration of alternatives

The paper

Temporally varying natural mortality: Sensitivity of a virtual population analysis and an exploration of alternatives


Shanae Allen, William Satterthwaite, David Hankin, Diana Cole and Michael Mohr

will appear in Fisheries Science, and is available online early at


Cohort reconstructions (CR) currently applied in Pacific salmon management estimate temporally variantexploitation, maturation, and juvenile natural mortality rates but require an assumed (typically invariant)adult natural mortality rate (dA), resulting in unknown biases in the remaining vital rates. We exploredthe sensitivity of CR results to misspecification of the mean and/or variability of dA, as well as the potentialto estimate dAdirectly using models that assumed separable year and age/cohort effects on vital rates(separable cohort reconstruction, SCR). For CR, given the commonly assumed dA= 0.2, the error (RMSE) inestimated vital rates is generally small (≤ 0.05) when annual values of dAare low to moderate (≤ 0.4). Thegreatest absolute errors are in maturation rates, with large relative error in the juvenile survival rate. Theability of CR estimates to track temporal trends in the juvenile natural mortality rate is adequate (Pearson’scorrelation coefficient > 0.75) except for high dA(≥ 0.6) and high variability (CV > 0.35). The alternativeSCR models allowing estimation of time-varying dAby assuming additive effects in natural mortality,fishing mortality, and/or maturation rates did not outperform CR across all simulated scenarios, and areless accurate when additivity assumptions are violated. Nevertheless an SCR model assuming additiveeffects on fishing and natural (juvenile and adult) mortality rates led to nearly unbiased estimates of allquantities estimated using CR, along with borderline acceptable estimates of the mean dAunder multiplesets of conditions conducive to CR. Adding an assumption of additive effects on the maturation ratesallowed nearly unbiased estimates of the mean dAas well. The SCR models performed slightly betterthan CR when the vital rates covaried as assumed. These separable models could serve as a partial checkon the validity of CR assumptions about the adult natural mortality rate, or even a preferred alternativeif there is strong reason to believe the vital rates, including juvenile and adult natural mortality rates,covary strongly across years or age classes as assumed.