2012
DOI: 10.1111/j.1748-7692.2012.00584.x
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Spatio‐temporal shifts of the dynamic Cape fur seal population in southern Africa, based on aerial censuses (1972–2009)

Abstract: A time series of aerial censuses of Cape fur seal colonies, spanning four decades (1972–2009) and three countries (South Africa, Namibia, and Angola), was analyzed to assess spatio‐temporal changes in population numbers. A weighted quantile regression approach was used to estimate trends in pup counts that were used as proxies for numbers of older animals at breeding colonies. There was a 74% increase in the number of breeding colonies over the study period, from 23 in 1973 to 40 in 2009. There was also a sign… Show more

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Cited by 51 publications
(41 citation statements)
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“…The field of aerial imagery is rapidly advancing, with optical techniques providing evident benefits for surveying colonial or herding wildlife with high precision in both terrestrial and marine systems (Kirkman et al 2013, Vermeulen et al 2013, Hodgson et al 2016. Although aerial imagery demonstrates improvements for some taxonomic groups, we are yet to understand how generalizable RPA data capture techniques are for other aggregations of wildlife.…”
Section: Introductionmentioning
confidence: 99%
“…The field of aerial imagery is rapidly advancing, with optical techniques providing evident benefits for surveying colonial or herding wildlife with high precision in both terrestrial and marine systems (Kirkman et al 2013, Vermeulen et al 2013, Hodgson et al 2016. Although aerial imagery demonstrates improvements for some taxonomic groups, we are yet to understand how generalizable RPA data capture techniques are for other aggregations of wildlife.…”
Section: Introductionmentioning
confidence: 99%
“…A more robust approach uses spatio-temporal analyses to explore changes in a species' spatial pattern over time and optionally to investigate covariate effects (e.g. Ver Hoef & Jansen 2007, Kirkman et al 2013). While several methods are available for such analyses, regression using generalized linear mixed models (GLMM) within a Bayesian hierarchical modelling framework can be used to control for confounding covariates and address data depend-encies (Zhao et al 2006).…”
Section: Introductionmentioning
confidence: 99%
“…Off South Africa, in the southern Benguela ecosystem there have been recent changes in the distributions and population sizes of several animals, including seabirds (e.g., Whittington, 2004;Crawford et al, 2007Crawford et al, , 2014bKirkman et al, 2012;Crawford, 2013) and three forage species that are important prey for seabirds: anchovy (Engraulis encrasicolus), sardine (Sardinops sagax) and rock lobster (Jasus lalandii) Blamey et al, 2015). From 1984 to 1995 most (61 ± 21% by mass standard deviation) spawning anchovy were located west of Cape Agulhas (Figure 1), whereas from 1996 to 2005 this proportion halved to 31 ± 11% (information in Roy et al, 2007).…”
Section: Introductionmentioning
confidence: 99%