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.

Highlights

  • Detecting trends in population abundance and identifying the underlying factors driving any increase or decline in population size are important aspects of conservation biology and wildlife management (Lawton, 1993; Taylor & Gerrodette, 1993)

  • Robust estimates of abundance and survival rates provide valuable information on population status, but they remain difficult to obtain for wide‐ranging, mobile species

  • This study stems from a photo‐ identification database for fin whales in the Jacques Cartier Passage (JCP) spanning 35 years

Read more

Summary

| INTRODUCTION

Detecting trends in population abundance and identifying the underlying factors driving any increase or decline in population size are important aspects of conservation biology and wildlife management (Lawton, 1993; Taylor & Gerrodette, 1993). Several national and multinational large‐scale surveys (e.g., NASS (Lockyer & Pike, 2009), SCANS (Hammond et al, 2017), NAISS (NAMMCO, 2018)) have focussed on assessing long‐term changes in distribution and abundance of cetaceans, including fin whales, in the North Atlantic. The aforementioned lack of recent abundance estimates, the possible decline in survival rates, and ongoing environmental and anthropogenic pressures in the GSL highlight the need for updated estimates of abundance and survival in fin whales These estimates are crucial to detect local population changes in the GSL, which may otherwise remain undetected in the framework of large‐scale surveys. The proposed method used to categorize individuals based on site fidelity indices has the potential for broad applicability to other individual‐based studies

| MATERIAL AND METHODS
Findings
| DISCUSSION
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call