Abstract:1. During the strong El Niño event of 2015-2016 large-scale dieback of mangrove forests was observed in the Gulf of Carpentaria region of northern Australia. These and other intertidal communities are also extensive along the 7,400 km coastline of northeastern Australia. Determination of their floristic composition, potential carbon (C) store and sequestration capacity, and vulnerability to climate extremes is required for their effective conservation management and was the aim of this study. 2. Standardized, … Show more
“…Extreme weather patterns in the past few years have caused extensive areas of mangrove tidal wetland vegetation dieback in northern Australia (Addicott et al, 2020; Asbridge et al, 2019; Duke et al, 2017) with the nature of these events being attributed to a low sea level event that was also associated with El Niño conditions (Sippo et al, 2020). Similarly, in the austral summer of 2010/2011, a marine heatwave associated with El Niño resulted in the collapse of ~1300 km 2 of seagrass extent in Shark Bay, Western Australia (Arias‐Ortiz et al, 2018).…”
Australia's Great Barrier Reef (GBR) catchments include some of the world's most intact coastal wetlands comprising diverse mangrove, seagrass and tidal marsh ecosystems. Although these ecosystems are highly efficient at storing carbon in marine sediments, their soil organic carbon (SOC) stocks and the potential changes resulting from climate impacts, including sea level rise are not well understood. For the first time, we estimated SOC stocks and their drivers within the range of coastal wetlands of GBR catchments using boosted regression trees (i.e. a machine learning approach and ensemble method for modelling the relationship between response and explanatory variables) and identified the potential changes in future stocks due to sea level rise. We found levels of SOC stocks of mangrove and seagrass meadows have different drivers, with climatic variables such as temperature, rainfall and solar radiation, showing significant contributions in accounting for variation in SOC stocks in mangroves. In contrast, soil type accounted for most of the variability in seagrass meadows. Total SOC stock in the GBR catchments, including mangroves, seagrass meadows and tidal marshes, is approximately 137 Tg C, which represents 9%–13% of Australia's total SOC stock while encompassing only 4%–6% of the total extent of Australian coastal wetlands. In a global context, this could represent 0.5%–1.4% of global SOC stock. Our study suggests that landward migration due to projected sea level rise has the potential to enhance carbon accumulation with total carbon gains between 0.16 and 0.46 Tg C and provides an opportunity for future restoration to enhance blue carbon.
“…Extreme weather patterns in the past few years have caused extensive areas of mangrove tidal wetland vegetation dieback in northern Australia (Addicott et al, 2020; Asbridge et al, 2019; Duke et al, 2017) with the nature of these events being attributed to a low sea level event that was also associated with El Niño conditions (Sippo et al, 2020). Similarly, in the austral summer of 2010/2011, a marine heatwave associated with El Niño resulted in the collapse of ~1300 km 2 of seagrass extent in Shark Bay, Western Australia (Arias‐Ortiz et al, 2018).…”
Australia's Great Barrier Reef (GBR) catchments include some of the world's most intact coastal wetlands comprising diverse mangrove, seagrass and tidal marsh ecosystems. Although these ecosystems are highly efficient at storing carbon in marine sediments, their soil organic carbon (SOC) stocks and the potential changes resulting from climate impacts, including sea level rise are not well understood. For the first time, we estimated SOC stocks and their drivers within the range of coastal wetlands of GBR catchments using boosted regression trees (i.e. a machine learning approach and ensemble method for modelling the relationship between response and explanatory variables) and identified the potential changes in future stocks due to sea level rise. We found levels of SOC stocks of mangrove and seagrass meadows have different drivers, with climatic variables such as temperature, rainfall and solar radiation, showing significant contributions in accounting for variation in SOC stocks in mangroves. In contrast, soil type accounted for most of the variability in seagrass meadows. Total SOC stock in the GBR catchments, including mangroves, seagrass meadows and tidal marshes, is approximately 137 Tg C, which represents 9%–13% of Australia's total SOC stock while encompassing only 4%–6% of the total extent of Australian coastal wetlands. In a global context, this could represent 0.5%–1.4% of global SOC stock. Our study suggests that landward migration due to projected sea level rise has the potential to enhance carbon accumulation with total carbon gains between 0.16 and 0.46 Tg C and provides an opportunity for future restoration to enhance blue carbon.
“…However, in contrast to this, in broad, often inaccessible parts of the country this two-tiered survey design shows how vegetation mapping and classification systems developed in conjunction can provide comprehensive capturing of environmental variability and b-diversity at a landscape scale (Addicott et al 2018a;Addicott 2020). When a vegetation classification system, underpinned by a quantitatively based classification approach, is combined with mapping their application becomes powerful in allowing possibilities of ecological comparisons on a national or global scale (Addicott et al 2020).…”
Section: Adequacy Of the Survey Design To Capture Data Underpinning The Re Systemmentioning
Vegetation classification systems form a base for conservation management and the ecological exploration of the patterns and drivers of species' distributions. A standardised system crossing administrative and geographical boundaries is widely recognised as most useful for broad-scale management. The Queensland Government, recognising this, uses the Regional Ecosystem (RE) classification system and accompanying mapping as a state-wide standardised vegetation classification system. This system informs legislation and policy at local, state and national levels, underpinning decisions that have wide-ranging implications for biodiversity and people's livelihoods. It therefore needs to be robust from a scientific and legal perspective. The current approach in the RE system for identifying vegetation communities relies on expert-based class definition procedures. This is in contrast to best practice, which is based on quantitative procedures. This paper discusses the RE system in a global context and outlines the updated approach that incorporates quantitative class definition procedures, synthesises the research behind the updated approach and discusses its implications and implementation.
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