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首页> 外文期刊>Canadian Journal of Fisheries and Aquatic Sciences >Heterogeneity and the mark-recapture assessment of the Scotian Shelf population of northern bottlenose whales (Hyperoodon ampullatus)
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Heterogeneity and the mark-recapture assessment of the Scotian Shelf population of northern bottlenose whales (Hyperoodon ampullatus)

机译:北方宽吻鲸(Hyperoodon ampullatus)的Scotian Shelf种群的异质性和标记捕获评估

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摘要

A population of northern bottlenose whales Hyperoodon ampullatus inhabits the waters along the edge of the Scotian Shelf,, The most important habitat of this population is the Gully, a large submarine canyon, where animals were photographically identified between 1988 and 2003,, Open mark-recapture models, including mixture models hat allow for heterogeneity in identifiability and or mortality among individuals, were fitted to identification-history data. Models without heterogeneity in identifiability had poor fit to the data and underestimated population size. The population is estimated to contain about 163 animals 95% confidence interval 119-214, with no statistically significant temporal trend. About 12% of the population has a high probability of being identified within the Gully in any year. Many of them are mature males. The remainder is less likely to be identified in the Gully during any year, spend generally shorter periods in the Gully even in years when they are found, and aremore likely to be female. This and other work indicate a poorly mixed population inhabiting the canyons and other deeper waters off the Scotian Shelf, Non-parametric bootstrap methods were used to validate the estimation procedure and to estimate the efficiency of future fieldwork scenarios
机译:北部宽吻鲸种群Hyperoodon ampullatus居住在斯科蒂搁板边缘的水域中。该种群最重要的栖息地是大型海底峡谷Gully,在1988年至2003年之间通过照相识别出了这些动物,重新捕获模型,包括允许在个体之间的可识别性和/或死亡率方面具有异质性的混合模型,被拟合到识别历史数据中。在可识别性上没有异质性的模型对数据的适应性很差,总体规模被低估了。估计该种群包含约163只动物,其95%置信区间119-214,没有统计上显着的时间趋势。每年大约有12%的人口很可能在沟渠内被识别。他们中许多是成熟的男性。其余年份不太可能在沟壑中被识别出,即使在发现沟壑的年份中,也通常在沟壑中度过的时间通常更短,而且更有可能是女性。这项工作和其他工作表明,混血的人居住在峡谷和其他较深的水域中,而这些人的混合情况很差,他们使用非参数自举方法来验证估计程序并估计未来野外工作场景的效率

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