Evidence for early postglacial warming in Mount Field National Park, Tasmania

Rees, Andrew; Cwynar, Les C.

doi:10.1016/j.quascirev.2009.10.003

Cited by 48 publications

(38 citation statements)

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“…A range of proxies have been used in other regions of the world to reconstruct terrestrial palaeotemperatures in low-resolution records (Marcott et al, 2013); however, they have not yet been applied to Australasian sites on the timescales examined here. Lake temperatures have been reconstructed through chironomid transfer functions on the east coast of Australia (Chang et al, 2015), Tasmania (Rees and Cwynar, 2010) and the South Island of New Zealand (Vandergoes et al, 2008;Woodward and Shulmeister, 2007) on timescales beyond the Common Era. Modern training sets exist for additional locations in Tasmania (Rees et al, 2008) and an additional location on the South Island, New Zealand (Dieffenbacher-Krall et al, 2007).…”

Section: Climate Variables and Relationshipsmentioning

confidence: 99%

Low-resolution Australasian palaeoclimate records of the last 2000 years

et al. 2017

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Abstract. Non-annually resolved palaeoclimate records in the Australasian region were compiled to facilitate investigations of decadal to centennial climate variability over the past 2000 years. A total of 675 lake and wetland, geomorphic, marine, and speleothem records were identified. The majority of records are located near population centres in southeast Australia, in New Zealand, and across the maritime continent, and there are few records from the arid regions of central and western Australia. Each record was assessed against a set of a priori criteria based on temporal resolution, record length, dating methods, and confidence in the proxy-climate relationship over the Common Era. A subset of 22 records met the criteria and were endorsed for subsequent analyses. Chronological uncertainty was the primary reason why records did not meet the selection criteria. New chronologies based on Bayesian techniques were constructed for the high-quality subset to ensure a consistent approach to age modelling and quantification of age uncertainties. The primary reasons for differences between published and reconstructed age-depth models were the consideration of the non-singular distribution of ages in calibrated 14 C dates and the use of estimated autocorrelation between sampled depths as a constraint for changes in accumulation rate. Existing proxies and reconstruction techniques that successfully capture climate variability in the region show potential to address spatial gaps and expand the range of climate variables covering the last 2000 years in the Australasian region. Future palaeoclimate research and records in Australasia could be greatly improved through three main actions: (i) greater data availability through the public archiving of published records; (ii) thorough characterisation of proxy-climate relationships through site monitoring and climate sensitivity tests; and (iii) improvement of chronologies through coretop dating, inclusion of tephra layers where possible, and increased date density during the Common Era.

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Section: Climate Variables and Relationshipsmentioning

confidence: 99%

Low-resolution Australasian palaeoclimate records of the last 2000 years

et al. 2017

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“…1a, Table 1) (Edwards et al, 2006;Rees et al, 2008;Gouramanis et al, 2010;Porch, 2010;Rees and Cwynar, 2010;Haynes et al, 2011;Gouramanis et al, 2012;Kemp et al, 2012). For example, ostracods have been used extensively as proxies for palaeosalinity in both freshwater and marine environments (De Deckker, 1982;Chivas et al, 1985b;Chivas et al, 1986a;Yassini and Kendrick, 1988).…”

Section: Other Biological Indicatorsmentioning

confidence: 99%

Climatic records over the past 30 ka from temperate Australia – a synthesis from the Oz-INTIMATE workgroup

Petherick

Bostock

Cohen

et al. 2013

Quaternary Science Reviews

119

122

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Dosseto, A. (2013). Climatic records over the past 30 ka from temperate Australia -a synthesis from the Oz-INTIMATE workgroup. Quaternary Science Reviews, 74 58-77.Climatic records over the past 30 ka from temperate Australia -a synthesis from the Oz-INTIMATE workgroup AbstractTemperate Australia sits between the heat engine of the tropics and the cold Southern Ocean, encompassing a range of rainfall regimes and falling under the influence of different climatic drivers. Despite this heterogeneity, broad-scale trends in climatic and environmental change are evident over the past 30 ka. During the early glacial period (∼30-22 ka) and the Last Glacial Maximum (∼22-18 ka), climate was relatively cool across the entire temperate zone and there was an expansion of grasslands and increased fluvial activity in regionally important Murray-Darling Basin. The temperate region at this time appears to be dominated by expanded sea ice in the Southern Ocean forcing a northerly shift in the position of the oceanic fronts and a concomitant influx of cold water along the southeast (including Tasmania) and southwest Australian coasts. The deglacial period (∼18-12 ka) was characterised by glacial recession and eventual disappearance resulting from an increase in temperature deduced from terrestrial records, while there is some evidence for climatic reversals (e.g. the Antarctic Cold Reversal) in high resolution marine sediment cores through this period. The high spatial density of Holocene terrestrial records reveals an overall expansion of sclerophyll woodland and rainforest taxa across the temperate region after ∼12 ka, presumably in response to increasing temperature, while hydrological records reveal spatially heterogeneous hydro-climatic trends. Patterns after ∼6 ka suggest higher frequency climatic variability that possibly reflects the onset of large scale climate variability caused by the El Niño/Southern Oscillation. Petherick, L., Bostock, H., Cohen, T. J., Fitzsimmons, K., Tibby, J., Fletcher, M. -S., Moss, P., Reeves, J., Mooney, S., Barrows, T., Kemp, J., Jansen, J., Nanson, G. & Dosseto, A. (2013). Climatic records over the past 30 ka from temperate Australia -a synthesis from the Oz-INTIMATE workgroup. Quaternary Science Reviews, 74 58-77. Australian coasts. The deglacial period (~18-12 ka) was characterised by glacial recession and eventual disappearance resulting from an increase in temperature deduced from terrestrial records, while there is some evidence for climatic reversals (e.g. the Antarctic Cold Reversal) in high resolution marine sediment cores through this period. The high spatial density of Holocene terrestrial records reveals an overall expansion of sclerophyll woodland and rainforest taxa across the temperate region after ~12 ka, presumably in response to increasing temperature, while hydrological records reveal spatially heterogeneous hydro-climatic trends. Patterns after ~6 ka suggest higher frequency climatic variability that possibly reflects the onset of large scale climate variability caused by...

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“…The application of these transfer functions has provided quantitative temperature data since the last glacial period in many regions of the world (e.g. Woodward and Shulmeister, 2007;Rees and Cwynar, 2010;Samartin et al, 2012;Chang et al, 2015b;Muschitiello et al, 2015;Brooks et al, 2016). Consequently, subfossil chironomids have been the most widely applied proxy for past summer temperature reconstructions.…”

Section: E Zhang Et Al: a Chironomid-based Mean July Temperature Inmentioning

confidence: 99%

A chironomid-based mean July temperature inference model from the south-east margin of the Tibetan Plateau, China

et al. 2017

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Abstract.A chironomid-based calibration training set comprised of 100 lakes from south-western China was established. Multivariate ordination analyses were used to investigate the relationship between the distribution and abundance of chironomid species and 18 environmental variables from these lakes. Canonical correspondence analyses (CCAs) and partial CCAs showed that mean July temperature is one of the independent and significant variables explaining the second-largest amount of variance after potassium ions (K + ) in 100 south-western Chinese lakes. Quantitative transfer functions were created using the chironomid assemblages for this calibration data set. The second component of the weighted-average partial least squares (WA-PLS) model produced a coefficient of determination (r 2 bootstrap ) of 0.63, maximum bias (bootstrap) of 5.16 and root-mean-square error of prediction (RMSEP) of 2.31 • C. We applied the transfer functions to a 150-year chironomid record from Tiancai Lake (26 • 38 3.8 N, 99 • 43 E; 3898 m a.s.l.), Yunnan, China, to obtain mean July temperature inferences. We validated these results by applying several reconstruction diagnostics and comparing them to a 50-year instrumental record from the nearest weather station (26 • 51 29.22 N, 100 • 14 2.34 E; 2390 m a.s.l.). The transfer function performs well in this comparison. We argue that this 100-lake large training set is suitable for reconstruction work despite the low explanatory power of mean July temperature because it contains a complete range of modern temperature and environmental data for the chironomid taxa observed and is therefore robust.

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Evidence for early postglacial warming in Mount Field National Park, Tasmania

Cited by 48 publications

References 48 publications

Low-resolution Australasian palaeoclimate records of the last 2000 years

Low-resolution Australasian palaeoclimate records of the last 2000 years

Climatic records over the past 30 ka from temperate Australia – a synthesis from the Oz-INTIMATE workgroup

A chironomid-based mean July temperature inference model from the south-east margin of the Tibetan Plateau, China

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