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Journal of Fish Biology
Article . 2020 . Peer-reviewed
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Estimating population parameters of broadnose sevengill sharks (Notorynchus cepedianus) using photo identification capture‐recapture

Authors: Robert Lewis; Steve Dawson; William Rayment;

Estimating population parameters of broadnose sevengill sharks (Notorynchus cepedianus) using photo identification capture‐recapture

Abstract

AbstractThe broadnose sevengill shark (Notorynchus cepedianus) is a common high trophic‐level predator around coastal New Zealand. Data on the ecology of the species in New Zealand are severely lacking, and anthropogenic impacts are unquantified. To partially address this, the authors undertook a study of the demographics of a population at Stewart Island. Sampling trips were carried out seasonally from winter 2016 to spring 2017. A baited underwater video system (BUV) was deployed on 133 occasions (mean = 22.2 deployments per season) in a shallow coastal embayment to capture underwater video of N. cepedianus for photo identification of individuals. N. cepedianus was detected on all but one deployment. Images extracted from video recorded the presence of 149 different individuals. Capture‐recapture analysis of these data using robust design methods indicated a seasonal trend in abundance of the population using the study area, ranging from 34 (95% C.I. = 21–55) during winter 2016, to 94 (95% C.I. = 44–199) during spring 2017. This study presents the first data on demographic parameters of N. cepedianus in New Zealand.

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Keywords

Population Density, Ecology, Animal Identification Systems, Photography, Sharks, Animals, Seasons, Ecosystem, New Zealand

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Top 10%
bronze