Australian vegetated coastal ecosystems as global hotspots for climate change mitigation

Serrano, Óscar; Lovelock, Catherine E.; Atwood, Trisha B.; Macreadie, Peter I.; Canto, Robert; Phinn, Stuart R.; Arias‐Ortiz, Ariane; Bai, Liang; Baldock, J. A.; Bedulli, Camila; Carnell, Paul E.; Connolly, Rod M.; Donaldson, Paul M.; Esteban, Alba; Lewis, Carolyn J. Ewers; Eyre, Bradley D.; Hayes, Matthew A.; Horwitz, Pierre; Hutley, Lindsay B.; Kavazos, Christopher R. J.; Kelleway, Jeffrey J.; Kendrick, Gary A.; Kilminster, Kieryn; Lafratta, Anna; Lee, Joe; Lavery, Paul S.; Maher, Damien T.; Marbà, Núria; Masqué, Pere; Mateo, Miguel Á.; Mount, RE; Ralph, Peter J.; Roelfsema, Christiaan M; Rozaimi, Mohammad; Ruhon, Radhiyah; Salinas, Cristian; Samper‐Villarreal, Jimena; Sanderman, Jonathan; Sanders, Christian J.; Santos, Isaac R.; Sharples, C; Steven, Andrew D. L.; Cannard, Toni; Trevathan-Tackett, Stacey M.; Duarte, Carlos M.

doi:10.1038/s41467-019-12176-8

Cited by 166 publications

(144 citation statements)

References 56 publications

(90 reference statements)

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“…It should be noted that the accretion rate was determined from the recovered tidal marsh site, thus the modeling assumed that all EVCs, seagrass, and mangrove habitats accrete sediments at the same rate. However, Serrano et al (2019) showed in a recent study across Australian coastal wetlands that although tidal marsh and seagrass mean sequestration rates are similar, mangrove sequestration rates are three times higher than both tidal marsh and seagrass. Consequently, the vertical accretion rate may have been underestimated and therefore the effects of SLR overstated.…”

Section: Sea Level Risementioning

confidence: 87%

Estimating the Potential Blue Carbon Gains From Tidal Marsh Rehabilitation: A Case Study From South Eastern Australia

et al. 2020

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Section: Sea Level Risementioning

confidence: 87%

Estimating the Potential Blue Carbon Gains From Tidal Marsh Rehabilitation: A Case Study From South Eastern Australia

et al. 2020

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“…Differences in sediment stocks have also been observed across blue C ecosystem types, with metre-deep C stocks being highest in tidal marshes (389.6 Mg C ha −1 ), followed by mangroves (319.6 Mg C ha −1 ), and finally seagrass (69.9 Mg C ha −1 ; Siikamäki et al, 2013). In southeastern Australia this trend was observed on a regional scale, where an assessment of 96 blue C ecosystems revealed sediment C stocks to 30 cm deep were highest in tidal marshes (87.1 ± 4.9 Mg C ha −1 ) and mangroves (65.6 ± 4.2 Mg C ha −1 ), followed by seagrasses (24.3 ± 1.8 Mg C ha −1 ; Ewers .…”

Section: Introductionmentioning

confidence: 91%

Drivers and modelling of blue carbon stock variability in sediments of southeastern Australia

et al. 2020

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Abstract. Tidal marshes, mangrove forests, and seagrass meadows are important global carbon (C) sinks, commonly referred to as coastal “blue carbon”. However, these ecosystems are rapidly declining with little understanding of what drives the magnitude and variability of C associated with them, making strategic and effective management of blue C stocks challenging. In this study, our aims were threefold: (1) identify ecological, geomorphological, and anthropogenic variables associated with 30 cm deep sediment C stock variability in blue C ecosystems in southeastern Australia, (2) create a predictive model of 30 cm deep sediment blue C stocks in southeastern Australia, and (3) map regional 30 cm deep sediment blue C stock magnitude and variability. We had the unique opportunity to use a high-spatial-density C stock dataset of sediments to 30 cm deep from 96 blue C ecosystems across the state of Victoria, Australia, integrated with spatially explicit environmental data to reach these aims. We used an information theoretic approach to create, average, validate, and select the best averaged general linear mixed effects model for predicting C stocks across the state. Ecological drivers (i.e. ecosystem type or ecological vegetation class) best explained variability in C stocks, relative to geomorphological and anthropogenic drivers. Of the geomorphological variables, distance to coast, distance to freshwater, and slope best explained C stock variability. Anthropogenic variables were of least importance. Our model explained 46 % of the variability in 30 cm deep sediment C stocks, and we estimated over 2.31 million Mg C stored in the top 30 cm of sediments in coastal blue C ecosystems in Victoria, 88 % of which was contained within four major coastal areas due to the extent of blue C ecosystems (∼87 % of total blue C ecosystem area). Regionally, these data can inform conservation management, paired with assessment of other ecosystem services, by enabling identification of hotspots for protection and key locations for restoration efforts. We recommend these methods be tested for applicability to other regions of the globe for identifying drivers of sediment C stock variability and producing predictive C stock models at scales relevant for resource management.

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“…Mcleod et al [9] indicated that mangroves, seagrass beds, and salt marshes are the three main "blue carbon" ecosystems, and the estimated global carbon storage rate was 226 ± 39 g C m −2 yr −1 . In addition, the carbon sequestration rate was approximately 1.26 Mg ha −1 yr −1 in mangroves, which was much greater than that of seagrass beds (0.36 Mg ha −1 yr −1 ) and salt marshes (0.39 Mg ha −1 yr −1 ) in Australia [10]. Thus, mangroves can play an important role in regulating climate and mitigating global warming.…”

Section: Introductionmentioning

confidence: 95%

Methane Emissions from Subtropical and Tropical Mangrove Ecosystems in Taiwan

Lin

Kao

Chou

et al. 2020

Forests

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Mangroves are one of the blue carbon ecosystems. However, greenhouse gas emissions from mangrove soils may reduce the capacity of carbon storage in these systems. In this study, methane (CH4) fluxes and soil properties of the top 10 cm layer were determined in subtropical (Kandelia obovata) and tropical (Avicennia marina) mangrove ecosystems of Taiwan for a complete seasonal cycle. Our results demonstrate that CH4 emissions in mangroves cannot be neglected when constructing the carbon budgets and estimating the carbon storage capacity. CH4 fluxes were significantly higher in summer than in winter in the Avicennia mangroves. However, no seasonal variation in CH4 flux was observed in the Kandelia mangroves. CH4 fluxes were significantly higher in the mangrove soils of Avicennia than in the adjoining mudflats; this trend, however, was not necessarily recapitulated at Kandelia. The results of multiple regression analyses show that soil water and organic matter content were the main factors regulating the CH4 fluxes in the Kandelia mangroves. However, none of the soil parameters assessed show a significant influence on the CH4 fluxes in the Avicennia mangroves. Since pneumatophores can transport CH4 from anaerobic deep soils, this study suggests that the pneumatophores of Avicennia marina played a more important role than soil properties in affecting soil CH4 fluxes. Our results show that different mangrove tree species and related root structures may affect greenhouse gas emissions from the soils.

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Australian vegetated coastal ecosystems as global hotspots for climate change mitigation

Cited by 166 publications

References 56 publications

Estimating the Potential Blue Carbon Gains From Tidal Marsh Rehabilitation: A Case Study From South Eastern Australia

Estimating the Potential Blue Carbon Gains From Tidal Marsh Rehabilitation: A Case Study From South Eastern Australia

Drivers and modelling of blue carbon stock variability in sediments of southeastern Australia

Methane Emissions from Subtropical and Tropical Mangrove Ecosystems in Taiwan

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