Using stable isotopes and radiocarbon to extract climate information from grey mangroves with non-annual growth rings

dc.contributor.authorGoodwin, MJen_AU
dc.contributor.authorVerdon-Kidd, DCen_AU
dc.contributor.authorHua, Qen_AU
dc.contributor.authorEnglish, NBen_AU
dc.contributor.authorHaines, HAen_AU
dc.contributor.authorAllen, KJen_AU
dc.date.accessioned2023-01-19T21:47:48Zen_AU
dc.date.available2023-01-19T21:47:48Zen_AU
dc.date.issued2021-11-17en_AU
dc.date.statistics2022-06-03en_AU
dc.description.abstractHydroclimate variability in Australia is not well understood prior to the commencement of instrumental climate records in the mid-20th Century. Instrumental climate records can be extended further back in time using proxy data obtained from annual ring forming trees using dendrochronology. However, aside from several exceptions (e.g., Callitris spp.), suitable trees are rare in mainland Australia. Novel techniques such as bomb-pulse radiocarbon dating and stable isotope analysis have made it possible to obtain climate information from trees that do not form annual growth rings. Grey mangroves (Avicennia marina) are the most common mangrove species in NSW, but their growth layers are non-annual. However, grey mangroves are highly sensitive to climate-related variation in freshwater availability and soil salinity. In this study we demonstrate that radiocarbon-based time series of δ18O and δ13C measured from grey mangroves can be used as hydroclimate proxies. Four grey mangrove stem sections were sampled from dead mangrove trees in the Myall and Hunter River estuaries in NSW, Australia in 2018 and analysed layer-by-layer for δ18O and δ13C using isotope ratio mass spectrometry. Four of the growth layers in each stem including the pith, the outermost layer and two other layers spaced evenly along the selected measurement radius were dated using bomb-pulse radiocarbon dating. A simple age / growth model was prepared for each stem assuming linear growth between the dated layers. Age estimates for all growth layers were truncated to integer calendar years allowing isotope data from the four stems to be averaged into composite δ18O and δ13C series covering the 1962-2016 period. The composite δ18O and δ13C time series were then assessed for similarity with a range of relevant climate variables using Spearman correlation analysis. Significant correlations were found between δ18O and rainfall, days rain, sea level, vapour pressure, Palmer Drought Severity Index (PDSI) and the El Niño Southern Oscillation (ENSO). Grey mangrove δ18O values appear to reflect the relative proportions of assimilated sea water (δ18O ≈ 0‰ VSMOW) and 18O-depleted fresh water entering mangrove wetlands as rainfall and runoff. Higher δ18O values were observed during known droughts in the 1960’s and during the millennium drought, whilst lower δ18O values occurred at the same time as La Niña events in 2010-12, 2007-08, 1998-2001, 1988-89 and 1973-76. The composite δ13C series was positively correlated with temperature, vapour pressure and evapotranspiration, suggesting that grey mangrove δ13C values were primarily influenced by atmospheric moisture demand. The most significant positive δ13C peak occurred at the same time as the intense El Niño drought of 1982/83, and the most significant negative δ13C peak occurred at the same time as the La Niña of 2010-12 that was the wettest 24-month period on record in Australia. These results demonstrate that stable carbon and oxygen isotope ratios in grey mangroves yield valuable hydroclimate information. Grey mangroves can live for up to 800 years, are widespread along northern Australian and tropical coastlines and could provide important information regarding pre-instrumental climate in regions currently lacking highresolution centennial scale climate proxy records. © The Authorsen_AU
dc.identifier.citationGoodwin, M., Verdon-Kidd, D., Hua, Q., English, N. B., Haines, H., & Allen, K. (2021). Using stable isotopes and radiocarbon to extract climate information from grey mangroves with non-annual growth rings. Paper presented to the 15th International Conference on Accelerator Mass Spectrometry. ANSTO Sydney, Australia. November 15th – 19th, 2021. (pp. 61). Retrieved from: https://ams15sydney.com/wp-content/uploads/2021/11/AMS-15-Full-Program-and-Abstract-Book-R-1.pdfen_AU
dc.identifier.conferenceenddate19 November 2021en_AU
dc.identifier.conferencename15th International Conference on Accelerator Mass Spectrometryen_AU
dc.identifier.conferenceplaceSydney, Australiaen_AU
dc.identifier.conferencestartdate15 November 2021en_AU
dc.identifier.pagination61en_AU
dc.identifier.urihttps://ams15sydney.com/wp-content/uploads/2021/11/AMS-15-Full-Program-and-Abstract-Book-R-1.pdfen_AU
dc.identifier.urihttps://apo.ansto.gov.au/dspace/handle/10238/14416en_AU
dc.language.isoenen_AU
dc.publisherAustralian Nuclear Science and Technology Organisationen_AU
dc.subjectStable isotopesen_AU
dc.subjectCarbon 14en_AU
dc.subjectClimatesen_AU
dc.subjectMangrovesen_AU
dc.subjectRecords managementen_AU
dc.subjectTree ringsen_AU
dc.subjectFresh wateren_AU
dc.subjectSaline soilsen_AU
dc.subjectNew South Walesen_AU
dc.subjectAustraliaen_AU
dc.subjectSouthern Oscillationen_AU
dc.titleUsing stable isotopes and radiocarbon to extract climate information from grey mangroves with non-annual growth ringsen_AU
dc.typeConference Abstracten_AU
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
AMS-15-Full-Program-and-Abstract-Book-R-1(2).pdf
Size:
4.92 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description: