Dataset

Australian vegetated coastal ecosystems as global hotspots for climate change mitigation

Commonwealth Scientific and Industrial Research Organisation
Serrano, Oscar ; Lovelock, Catherine ; Atwood, Trisha ; Macreadie, Peter ; Canto, Robert ; Phinn, Stuart ; Arias-Ortiz, Ariane ; Bai, Le ; Baldock, Jeff ; Bedulli, Camila ; Carnell, Paul ; Connolly, Rod ; Donaldson, Paul ; Esteban, Alba ; Ewers Lewis, Carolyn J. ; Eyre, Brad ; Hayes, Matthew A. ; Horwitz, Pierre ; Hutley, Lindsay ; Kavazos, Christopher ; Kelleway, Jeffrey ; Kendrick, Gary ; Kilminster, Kieryn ; Lafratta, Anna ; Lee, Shing Yip ; Lavery, Paul ; Maher, Damien ; Marbà, Núria ; Masque, Pere ; Mateo, Miguel A. ; Mount, Richard ; Ralph, Peter ; Roelfsema, Christiaan ; Rozaimi, Mohammad ; Ruhon, Radhiyah ; Salinas, Cristian ; Samper-Villarreal, Jimena ; Sanderman, Jonathan ; Sanders, Christian ; Santos, Isaac ; Sharples, Chris ; Steven, Andy ; Cannard, Toni ; Trevathan-Tackett, Stacey ; Duarte, Carlos
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/5d3a8acc9b598&rft.title=Australian vegetated coastal ecosystems as global hotspots for climate change mitigation&rft.identifier=10.25919/5d3a8acc9b598&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=Data on C stocks and sequestration rates in Australian tidal marshes, mangrove forests and seagrass meadows were compiled from published data. In addition, unpublished studies from the CSIRO Marine and Coastal Carbon Biogeochemistry Cluster project and other studies by the co-authors were included. Data from 1,553 study sites (593 from tidal marshes, 323 from mangrove forests and 637 from seagrass meadows) on soil C stocks (1,103 cores in total), soil C sequestration rates (352 cores in total) and standing C stocks in aboveground biomass (98 measurements in total) were used in this study. Detailed methods are provided in the manuscript linked to this dataset.Soil cores were sampled using different coring mechanisms. The cores were sliced at regular intervals, each slice/sample was weighed before and after oven drying to constant weight at 60-70°C (i.e. dry weight, DW). The Champagne test’ was used to determine whether soil samples contained inorganic carbon. The soil core sub-samples containing carbonates were acidified with 1 M HCl, centrifuged (3500 RPM; 5 minutes) and the supernatant with acid residues was removed, then washed in deionized water, centrifuged again and the supernatant removed and dried before C elemental analyses. Where carbonates were absent, bulk soil samples were milled and encapsulated without acid pre-treatment before C analyses. The C content was obtained using a dry combustion elemental analyser or mass spectrometer. Data on soil accumulation rates from 315 cores derived by means of 210Pb and 14C was compiled. Concentration profiles of 210Pb were determined by alpha spectrometry using Passivated Implanted Planar Silicon (PIPS) detectors after acid digestion of the samples. Selected samples from each core were analysed for 226Ra by ultra-low background liquid scintillation counting (LSC, Quantulus 1220) or gamma spectrometry. Gamma spectrometry measurements were conducted in some cores using semi-planar intrinsic germanium high purity coaxial detectors. Sediment accumulation rates were obtained by applying the Constant Rate of Supply (CRS) or the Constant Flux:Constant Sedimentation models (CF:CS). Samples of bulk soil, plant debris and shells along the cores were radiocarbon dated following standard procedures. The 14C dates from seagrass cores were calibrated using the marine13 calibration curve considering a local Delta R ranging from 3 to 71 years as a function of study site. The corrected ages were used to produce an age-depth model (linear regression) to estimate sediment accumulation rates. To allow direct comparison among study sites, the C storage per unit area (cumulative stocks, mass C m-2) was standardized to 1 m-thick deposits (extrapolating linearly integrated values of C content with depth when necessary). The C sequestration rates (mass C m-2yr-1) were calculated by multiplying average C concentration by the sediment accumulation rate (mass m-2 yr-1) in each core. Estimates of aboveground biomass per unit area were obtained by drying and weighing aboveground materials for tidal marshes and seagrasses, and using field measurements and allometric equations (specific to the region and species) for mangroves. All analyses were performed using Generalized Linear Model procedures in SPSS v. 14.0. All response variables were square-root transformed prior to analyses and had homogenous variances. Climate region (arid, semi-arid, temperate, subtropical and tropical) and ecosystem type (tidal marsh, mangrove and seagrass) were treated as fixed factors in all statistical models (probability distribution: normal; link function: identity). The upscaling of each habitat polygon was performed by multiplying the average ± SD soil C stocks, sequestration rates, and standing C stocks in the aboveground biomass for each ecosystem within each climate region by the specific ecosystem area to obtain blue carbon estimates at climate region scale (arid, semi-arid, temperate, subtropical and tropical) and administrative jurisdictions within Australia (Northern Territory, Queensland, New South Wales, Victoria, Tasmania, South Australia and Western Australia). Potential C stock losses (mass C) and CO2 emissions (mass CO2-e yr-1) were estimated based on 0.03% annual ecosystem area loss for tidal marshes and mangroves, and 0.1% yr-1 for seagrass, and accounted for the sum of C stocks in aboveground biomass and the top meter of soils, assuming that 50% of total C stocks are lost and remineralized to CO2 after disturbance.&rft.creator=Serrano, Oscar &rft.creator=Lovelock, Catherine &rft.creator=Atwood, Trisha &rft.creator=Macreadie, Peter &rft.creator=Canto, Robert &rft.creator=Phinn, Stuart &rft.creator=Arias-Ortiz, Ariane &rft.creator=Bai, Le &rft.creator=Baldock, Jeff &rft.creator=Bedulli, Camila &rft.creator=Carnell, Paul &rft.creator=Connolly, Rod &rft.creator=Donaldson, Paul &rft.creator=Esteban, Alba &rft.creator=Ewers Lewis, Carolyn J. &rft.creator=Eyre, Brad &rft.creator=Hayes, Matthew A. &rft.creator=Horwitz, Pierre &rft.creator=Hutley, Lindsay &rft.creator=Kavazos, Christopher &rft.creator=Kelleway, Jeffrey &rft.creator=Kendrick, Gary &rft.creator=Kilminster, Kieryn &rft.creator=Lafratta, Anna &rft.creator=Lee, Shing Yip &rft.creator=Lavery, Paul &rft.creator=Maher, Damien &rft.creator=Marbà, Núria &rft.creator=Masque, Pere &rft.creator=Mateo, Miguel A. &rft.creator=Mount, Richard &rft.creator=Ralph, Peter &rft.creator=Roelfsema, Christiaan &rft.creator=Rozaimi, Mohammad &rft.creator=Ruhon, Radhiyah &rft.creator=Salinas, Cristian &rft.creator=Samper-Villarreal, Jimena &rft.creator=Sanderman, Jonathan &rft.creator=Sanders, Christian &rft.creator=Santos, Isaac &rft.creator=Sharples, Chris &rft.creator=Steven, Andy &rft.creator=Cannard, Toni &rft.creator=Trevathan-Tackett, Stacey &rft.creator=Duarte, Carlos &rft.date=2019&rft.edition=v2&rft.coverage=northlimit=-10.125; southlimit=-43.550279; westlimit=113.008522; eastLimit=153.617987; projection=WGS84&rft_rights=All Rights (including copyright) CSIRO 2019.&rft_rights=Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/&rft_subject=biogeochemical cycles, carbon dioxide emissions, mangrove, seagrass, tidal marsh, ecosystem service, conservation, carbon crediting, carbon emissions offset, global change, climate region&rft_subject=Carbon Sequestration Science&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=SOIL SCIENCES&rft.type=dataset&rft.language=English Access the data

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Brief description

Data on C stocks and sequestration rates in Australian tidal marshes, mangrove forests and seagrass meadows were compiled from published data. In addition, unpublished studies from the CSIRO Marine and Coastal Carbon Biogeochemistry Cluster project and other studies by the co-authors were included. Data from 1,553 study sites (593 from tidal marshes, 323 from mangrove forests and 637 from seagrass meadows) on soil C stocks (1,103 cores in total), soil C sequestration rates (352 cores in total) and standing C stocks in aboveground biomass (98 measurements in total) were used in this study. Detailed methods are provided in the manuscript linked to this dataset.

Lineage

Soil cores were sampled using different coring mechanisms. The cores were sliced at regular intervals, each slice/sample was weighed before and after oven drying to constant weight at 60-70°C (i.e. dry weight, DW).
The Champagne test’ was used to determine whether soil samples contained inorganic carbon. The soil core sub-samples containing carbonates were acidified with 1 M HCl, centrifuged (3500 RPM; 5 minutes) and the supernatant with acid residues was removed, then washed in deionized water, centrifuged again and the supernatant removed and dried before C elemental analyses. Where carbonates were absent, bulk soil samples were milled and encapsulated without acid pre-treatment before C analyses. The C content was obtained using a dry combustion elemental analyser or mass spectrometer.
Data on soil accumulation rates from 315 cores derived by means of 210Pb and 14C was compiled. Concentration profiles of 210Pb were determined by alpha spectrometry using Passivated Implanted Planar Silicon (PIPS) detectors after acid digestion of the samples. Selected samples from each core were analysed for 226Ra by ultra-low background liquid scintillation counting (LSC, Quantulus 1220) or gamma spectrometry. Gamma spectrometry measurements were conducted in some cores using semi-planar intrinsic germanium high purity coaxial detectors. Sediment accumulation rates were obtained by applying the Constant Rate of Supply (CRS) or the Constant Flux:Constant Sedimentation models (CF:CS).
Samples of bulk soil, plant debris and shells along the cores were radiocarbon dated following standard procedures. The 14C dates from seagrass cores were calibrated using the marine13 calibration curve considering a local Delta R ranging from 3 to 71 years as a function of study site. The corrected ages were used to produce an age-depth model (linear regression) to estimate sediment accumulation rates.
To allow direct comparison among study sites, the C storage per unit area (cumulative stocks, mass C m-2) was standardized to 1 m-thick deposits (extrapolating linearly integrated values of C content with depth when necessary). The C sequestration rates (mass C m-2yr-1) were calculated by multiplying average C concentration by the sediment accumulation rate (mass m-2 yr-1) in each core. Estimates of aboveground biomass per unit area were obtained by drying and weighing aboveground materials for tidal marshes and seagrasses, and using field measurements and allometric equations (specific to the region and species) for mangroves.
All analyses were performed using Generalized Linear Model procedures in SPSS v. 14.0. All response variables were square-root transformed prior to analyses and had homogenous variances. Climate region (arid, semi-arid, temperate, subtropical and tropical) and ecosystem type (tidal marsh, mangrove and seagrass) were treated as fixed factors in all statistical models (probability distribution: normal; link function: identity).
The upscaling of each habitat polygon was performed by multiplying the average ± SD soil C stocks, sequestration rates, and standing C stocks in the aboveground biomass for each ecosystem within each climate region by the specific ecosystem area to obtain blue carbon estimates at climate region scale (arid, semi-arid, temperate, subtropical and tropical) and administrative jurisdictions within Australia (Northern Territory, Queensland, New South Wales, Victoria, Tasmania, South Australia and Western Australia).
Potential C stock losses (mass C) and CO2 emissions (mass CO2-e yr-1) were estimated based on 0.03% annual ecosystem area loss for tidal marshes and mangroves, and 0.1% yr-1 for seagrass, and accounted for the sum of C stocks in aboveground biomass and the top meter of soils, assuming that 50% of total C stocks are lost and remineralized to CO2 after disturbance.

Data time period: 2012-01-01 to 2017-01-01

Click to explore relationships graph

153.617987,-10.125 153.617987,-43.550279 113.008522,-43.550279 113.008522,-10.125 153.617987,-10.125

133.3132545,-26.8376395

Identifiers