Abstract
Estimates of abundance and survivorship provide quantifiable measures to
monitor populations and to define and understand their conservation
status. This study investigated changes in abundance and survival rates
of fin whales (Balaenoptera physalus) in the northern Gulf of St.
Lawrence in the context of anthropogenic pressures and changing
environmental conditions. A long‐term data set, consisting of 35 years
of photo‐identification surveys and comprising more than 5,000
identifications of 507 individuals, formed the basis of this
mark–recapture study. Based on model selection using corrected Akaike
Information Criterion, the most parsimonious Cormack–Jolly–Seber model
included a linear temporal trend in noncalf apparent survival rates with
a sharp decline in the last 5 years of the study and a median survival
rate of 0.946 (95% confidence interval (CI) 0.910–0.967). To account for
capture heterogeneity due to divergent patterns of site fidelity,
agglomerative hierarchical cluster analysis was employed to categorize
individuals based on their annual and survey site fidelity indices.
However, the negative trend in survivorship remained and was
corroborated by a significant decline in the estimated super‐population
size from 335 (95% CI 321–348) individuals in 2004–2010 to 291 (95% CI
270–312) individuals in 2010–2016. Concurrently, a negative trend was
estimated in recruitment to the population, supported by a sharp
decrease in the number of observed calves. Ship strikes and changes in
prey availability are potential drivers of the observed decline in fin
whale abundance. The combination of clustering methods with
mark–recapture represents a flexible way to investigate the effects of
site fidelity on demographic variables and is broadly applicable to
other individual‐based studies.
Original language | English |
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Pages (from-to) | 4231-4244 |
Number of pages | 14 |
Journal | Ecology and Evolution |
Volume | 9 |
Issue number | 7 |
Early online date | 15 Mar 2019 |
DOIs | |
Publication status | Published - Apr 2019 |
Keywords
- Abundance
- Capture heterogeneity
- Capture-recapture
- Fin whale
- Site fidelity
- Survival rate
- Terminal bias