Marked deleterious changes in the condition, growth and maturity schedules of Acanthopagrus butcheri (Sparidae) in an estuary reflect environmental degradation

Cottingham, A.; Hesp, S. Alex; Hall, Norman G.; Hipsey, Matthew R.; Potter, I. C.

doi:10.1016/j.ecss.2014.07.021

Cited by 35 publications

(69 citation statements)

References 78 publications

(85 reference statements)

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“…These findings are consistent with existing evidence that the offshore 559 waters of the Swan Canning Estuary are generally in poorer ecological condition, and are 560 more susceptible to the effects of perturbations such as algal blooms, than the adjacent 561 shallower habitats (Hallett, 2010;Cottingham et al, 2014). This may be attributable to 562 several factors, but is most likely driven by the more frequent stratification and 563 deoxygenation of those deeper waters.…”

Section: Introduction 32 33supporting

confidence: 81%

Effects of a harmful algal bloom on the community ecology, movements and spatial distributions of fishes in a microtidal estuary

et al. 2015

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Western Australia. The combined evidence suggests that a large proportion of the more 18 mobile fish species in the offshore waters of the bloom-affected area relocated to other 19 regions during the bloom. This was indicated by marked declines in mean species richness, 20 catch rates and FCI scores in the bloom region but concomitant increases in these 21 characteristics in more distal regions, and by pronounced and atypical shifts in the pattern 22 of inter-regional similarities in fish community composition during the bloom. The lack of 23 any significant changes among the nearshore fish communities revealed that bloom 24 1 Present address: Swan River Trust,

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Section: Introduction 32 33supporting

confidence: 81%

Effects of a harmful algal bloom on the community ecology, movements and spatial distributions of fishes in a microtidal estuary

et al. 2015

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“…1993/94 and 1994/95, the extent of the inter-annual differences in length increments of females and males across all of the nine years, for which data were analysed using the model, increased to ~2.5. In terms of body mass, the differences in the corresponding maximum and minimum mean increments of both sexes, derived from the length-weight relationship for A. butcheri in the Swan River Estuary (Cottingham et al, 2014), increased to ~2.7 times for the seven years between 2007/08 and 2013/14 and to ~5 times across the nine years for which the data were modelled. These marked inter-annual differences in growth reflect the plasticity of the biological characteristics of A. butcheri and the ability of this species to respond to changes in environmental conditions.…”

Section: Inter-annual Variations In Growthmentioning

confidence: 99%

“…It is highly relevant that the mean annual length increments, estimated by the model for ( Cottingham et al, 2014).…”

Section: Inter-annual Variations In Growthmentioning

confidence: 99%

“…Back-transformed predicted values for freshwater discharge were corrected to account for the bias associated with log transformation (Beauchamp & Olson, 1973). A one-tailed t-test was employed to determine whether Pearson's correlation coefficient between the log-transformed values of freshwater discharge and year was statistically significant and thereby confirm that, as previously shown for 1992 to 2011 (Cottingham et al, 2014), annual freshwater discharge declined between 1990 and 2014.…”

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confidence: 99%

“…A year-effect model, based on but less complex than that of He & Bence (2007), was thus developed to accommodate the characteristics of the data obtained for A. butcheri (see Materials and Methods). The results were used to determine how annual increments in body length of A. butcheri in the Swan River Estuary varied among years in 1993-95 and 2007-14, the latter period encompassing the years in 2007-11 for which the average, but not annual, growth had previously been determined (Cottingham et al, 2014). somatic growth of their younger individuals is positively related to temperature, as is typical of fish species within their normal temperature range (Angilletta et al, 2010;Neuheimer et al, 2011) and of the otoliths of A. butcheri and P. colonorum further east on mainland Australia (Morrongiello et al, 2014;Doubleday et al, 2015).…”

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confidence: 99%

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Factors influencing growth of Acanthopagrus butcheri (Sparidae) in a eutrophic estuary have changed over time

Cottingham

Hall

Potter

2016

Estuarine, Coastal and Shelf Science

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The overall growth of Acanthopagrus butcheri in the eutrophic Swan River Estuary has previously been shown to decline between 1993-95 and 2007-11. This was attributed to the effects of an increase in hypoxia on A. butcheri in deeper water, brought about by reductions in freshwater flushing, and to density-dependent effects as this species became concentrated in the better-oxygenated, nearshore shallow waters. In the present study, a year-effect model was developed that provided a good fit to the lengths at age and could thus be used to explore the following: 1) The extent to which somatic growth of A. butcheri differed between years in the above two periods and within the later period, which was extended to include data for 2012 to 2014, and 2) whether annual growth in 2007-14 was related to temperature and/or freshwater discharge. Annual length increments for females and males during the second year of life, predicted from the model using a common initial length, were almost invariably less in each year in 2007-14 than in 1993-95. In 2007-14, these predicted increments varied by ~2 times for both females and males and were positively correlated with average temperature during the main growth phase of A. butcheri. They were not significantly correlated, however, with freshwater discharge in the preceding cool wet 'winter' months, when the vast majority of rainfall occurs.The demonstration that the growth of A. butcheri was positively correlated with temperature for years in the latter period is consistent with the metabolic theory of ecology and contrasts with M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT2 growth declining between 1993-95 and 2007-14 when temperatures were increasing. Thus, any influence of temperature on growth between those periods was overridden by other factors, i.e. hypoxia and increased densities. As A. butcheri completes its life cycle within its natal estuary and has plastic biological characteristics, it is an ideal candidate for use as an indicator of the health of an estuary and for hypothesising on the effects of climate change on fish species.

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Predicting the resilience and recovery of aquatic systems: A framework for model evolution within environmental observatories

et al. 2015

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Maintaining the health of aquatic systems is an essential component of sustainable catchment management, however, degradation of water quality and aquatic habitat continues to challenge scientists and policy-makers. To support management and restoration efforts aquatic system models are required that are able to capture the often complex trajectories that these systems display in response to multiple stressors. This paper explores the abilities and limitations of current model approaches in meeting this challenge, and outlines a strategy based on integration of flexible model libraries and data from observation networks, within a learning framework, as a means to improve the accuracy and scope of model predictions. The framework is comprised of a data assimilation component that utilizes diverse data streams from sensor networks, and a second component whereby model structural evolution can occur once the model is assessed against theoretically relevant metrics of system function. Given the scale and transdisciplinary nature of the prediction challenge, network science initiatives are identified as a means to develop and integrate diverse model libraries and workflows, and to obtain consensus on diagnostic approaches to model assessment that can guide model adaptation. We outline how such a framework can help us explore the theory of how aquatic systems respond to change by bridging bottom-up and top-down lines of enquiry, and, in doing so, also advance the role of prediction in aquatic ecosystem management. Modeling Aquatic Health: The Evolving Role of Aquatic System PredictionSustainable catchment management during the current era of global population growth and climate change is one of the most profound challenges confronting society [Bogardi et al., 2012;Gerten et al., 2013;Pahl-Wostl et al., 2013;Brookes et al., 2014]. Inland waters have changed more rapidly in the past 50 years than at any other time in human history. Water quality degradation and associated issues of water security, as well as loss of biodiversity Dudgeon, 2014], have been driven by widespread urban, agricultural and mining developments, and span both developed and emerging economies. Preserving the integrity of aquatic systems, including rivers, wetlands, lakes and estuaries, is an essential component of catchment management as these systems provide critical ecosystem services to support societal development [Zedler and Kercher, 2005;Carpenter et al., 2011]. However, the pace of contemporary environmental change is rapid and multifaceted, and hinders restoration efforts. The development of tools and approaches to quantify the function and response of aquatic systems is therefore essential to support a holistic view of catchment function [Wagener et al., 2010;Montanari et al., 2013], and guide investment in conservation and rehabilitation [Creighton et al., 2015].Substantial advances have been made toward describing changes in catchment hydrologic function and developing predictive ability to support water resource management [Bl...

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Marked deleterious changes in the condition, growth and maturity schedules of Acanthopagrus butcheri (Sparidae) in an estuary reflect environmental degradation

Cited by 35 publications

References 78 publications

Effects of a harmful algal bloom on the community ecology, movements and spatial distributions of fishes in a microtidal estuary

Effects of a harmful algal bloom on the community ecology, movements and spatial distributions of fishes in a microtidal estuary

Factors influencing growth of Acanthopagrus butcheri (Sparidae) in a eutrophic estuary have changed over time

Predicting the resilience and recovery of aquatic systems: A framework for model evolution within environmental observatories

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