2012
DOI: 10.1038/nclimate1616
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Aquatic biochronologies and climate change

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Cited by 134 publications
(111 citation statements)
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“…The presence of a significant correlation among the time series of widths of growth zones within individual otoliths demonstrates that such a driving factor is influencing growth. The patterns of otolith growth have also been subjected to mixed modelling and age-specific regression to explore the relationship between somatic growth and environmental variables on multiple populations of a given species and of co-occurring species (Thresher et al 2007;Neuheimer et al 2011;Morrongiello et al 2012). The relationships between the trends exhibited by the increment widths in otoliths and variables such as water temperature are of importance in predicting the effects of climate change (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…The presence of a significant correlation among the time series of widths of growth zones within individual otoliths demonstrates that such a driving factor is influencing growth. The patterns of otolith growth have also been subjected to mixed modelling and age-specific regression to explore the relationship between somatic growth and environmental variables on multiple populations of a given species and of co-occurring species (Thresher et al 2007;Neuheimer et al 2011;Morrongiello et al 2012). The relationships between the trends exhibited by the increment widths in otoliths and variables such as water temperature are of importance in predicting the effects of climate change (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…These climate-growth relationships agree with the expectation that warming climate and shoaling thermoclines will reduce production in low-latitude pelagic systems that are already nutrient limited (Behrenfeld et al 2006), increase production in high-latitude pelagic systems (Mueter et al 2009), and add the prediction that limited warming will also increase nearshore benthic production in the California Current and Alaska Coastal Current systems. Moreover, otolith growth indices can be explicitly incorporated in stock assessment models under an ecosystembased approach to management as either an indication of species biomass (Morrongiello et al 2012) or as an indication of habitat. For instance, the otolith growth index of a nearshore resident fish could prove useful in models of other commercial fish species that have critical early life history stages in nearshore systems (Agardy et al 2005;Laurel et al 2007;Echave et al 2012;Johnson et al 2012).…”
Section: Discussionmentioning
confidence: 99%
“…While otolith-based approaches assume that annual increments in length are directly proportional to those in the otolith, such a relationship is not always the case with, for example, otoliths typically continuing to grow after the growth in the body has slowed markedly or even ceased (e.g. Campana, 1990;Morrongiello et al, 2012). At the same time, however, it is likely that, in terms of body length, any relationship between growth and an environmental variable will be mirrored by a similar trend with otolith growth (Morales-Nin, 2000).…”
Section: A C C E P T E D Accepted Manuscriptmentioning
confidence: 99%
“…Thus, in those other studies, variations in the widths of the growth zones in otoliths to develop chronologies for the relative growth of otoliths in different years and in mixed-effect models to determine inter alia the influence of age and year on otolith growth (e.g. Weisberg et al, 2010;Morrongiello et al, 2012;Coulson et al, 2014). Otolith-based approaches have been employed in studies of A. butcheri in estuaries further east in Tasmania and South Australia (Doubleday et al, 2015) and of another estuarine species, P. colonorum, in Victoria (Morrongiello et al, 2014).…”
Section: A C C E P T E D Accepted Manuscriptmentioning
confidence: 99%