Evidence map›Paper›PMID 26245148›Full record

ArticleOecologia2015

Long-term patterns in estuarine fish growth across two climatically divergent regions.

Zoë A Doubleday, Christopher Izzo, James A Haddy, Jeremy M Lyle, Qifeng Ye, Bronwyn M Gillanders

Abstract read
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Article in Oecologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zoë A DoubledaySouthern Seas Ecology Laboratories and The Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, SA, 5005, Australia. zoe.doubleday@adelaide.edu.au.
Christopher IzzoSouthern Seas Ecology Laboratories and The Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, SA, 5005, Australia.
James A HaddyFisheries and Aquaculture Centre, Institute for Marine and Antarctic Studies, University of Tasmania, Locked Bag 1370, Launceston, TAS, Australia.
Jeremy M LyleFisheries and Aquaculture Centre, Institute for Marine and Antarctic Studies, University of Tasmania, Private Bag 49, Hobart, TAS, 7001, Australia.
Qifeng YeSouth Australian Research and Development Institute (Aquatic Sciences), West Beach, SA, 5024, Australia.
Bronwyn M GillandersSouthern Seas Ecology Laboratories and The Environment Institute, School of Biological Sciences, The University of Adelaide, Adelaide, SA, 5005, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term ecological datasets are vital for investigating how species respond to changes in their environment, yet there is a critical lack of such datasets from aquatic systems. We developed otolith growth 'chronologies' to reconstruct the growth history of a temperate estuarine fish species, black bream (Acanthopagrus butcheri). Chronologies represented two regions in south-east Australia: South Australia, characterised by a relatively warm, dry climate, and Tasmania, characterised by a relatively cool, wet climate. Using a mixed modelling approach, we related inter-annual growth variation to air temperature, rainfall, freshwater inflow (South Australia only), and El Niño-Southern Oscillation events. Otolith chronologies provided a continuous record of growth over a 13- and 21-year period for fish from South Australia and Tasmania, respectively. Even though fish from Tasmania were sourced across multiple estuaries, they showed higher levels of growth synchronicity across years, and greater year-to-year growth variation, than fish from South Australia, which were sourced from a single, large estuary. Growth in Tasmanian fish declined markedly over the time period studied and was negatively correlated to temperature. In contrast, growth in South Australian fish was positively correlated to both temperature and rainfall. The stark contrast between the two regions suggests that Tasmanian black bream populations are more responsive to regional scale environmental variation and may be more vulnerable to global warming. This study highlights the importance of examining species response to climate change at the intra-specific level and further validates the emerging use of growth chronologies for generating long-term ecological data in aquatic systems.

Indexed as

ClimateClimate ChangeEstuariesRainTemperatureAnimalsEcologyEl Nino-Southern OscillationEnvironmentFresh WaterOtolithic MembranePerciformesSeawaterSouth AustraliaTasmaniaClimate changeGrowth historyOtolith chronologySoutheast Australia

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.