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  • 1
    Keywords: Electronic books
    Description / Table of Contents: Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Editors -- List of Contributors -- Glossary -- Chapter 1 Defining Blue Carbon: The Emergence of a Climate Context for Coastal Carbon Dynamics -- 1.1 The Global Climate Challenge -- 1.2 The Emergence of Blue Carbon -- 1.3 Defining BCEs in the Context of Climate Resilience -- 1.4 What Are the Scale of Emissions and Removals by BCEs? -- 1.5 Advancing Blue Carbon Interventions -- 1.6 Conclusion -- Chapter 2 The Importance of Blue Carbon in Coastal Management in the United States -- 2.1 Introduction -- 2.2 What's At Stake -- 2.3 Interfaces of Coastal Wetlands and Climate Change -- 2.3.1 Climate Change -- 2.3.2 Management -- 2.3.3 Physical and Chemical -- 2.3.4 Community -- 2.3.5 Policy and Action -- 2.4 Getting Strategic about Blue Carbon and Access to the Carbon Markets -- 2.4.1 Eligibility -- 2.4.2 Market Tools -- 2.4.3 Pilot or Regional Case Studies -- 2.4.3.1 Blue Carbon as a Tool for Communication and Education -- 2.5 Summary -- Chapter 3 Human Impacts on Blue Carbon Ecosystems -- 3.1 Introduction -- 3.2 Mangroves -- 3.3 Seagrass Meadows -- 3.4 Tidal Marshes -- 3.5 Emerging Threats -- 3.6 Solutions and Opportunities -- 3.7 Conclusions -- Part I: State of Science -- Chapter 4 The Fate and Transport of Allochthonous Blue Carbon in Divergent Coastal Systems -- 4.1 Introduction -- 4.1.1 Global Carbon Sequestration and Sinks -- 4.1.2 Clarifications and Goals -- 4.2 Impact of Wetland Type on Coastal Transport Dynamics -- 4.3 Latitudinal Gradients in Transport Mechanisms of Allochthonous POC and DOC -- 4.4 Biogeochemical Factors Controlling Role of Allochthonous POC versus DOC -- 4.4.1 Overview of Approaches to Measure OC Recycling -- 4.4.2 Key Biogeochemical Controls on OC Cycling in BCE -- 4.4.3 Potential Priming Effects in BCE
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (xxvii, 481 Seiten)
    ISBN: 9780429787775
    Series Statement: CRC Marine science series
    Language: English
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  • 2
    Publication Date: 2022-05-25
    Description: © The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Environmental Research Letters 13 (2018): 115005, doi:10.1088/1748-9326/aae157.
    Description: Coastal wetlands store carbon dioxide (CO2) and emit CO2 and methane (CH4) making them an important part of greenhouse gas (GHG) inventorying. In the contiguous United States (CONUS), a coastal wetland inventory was recently calculated by combining maps of wetland type and change with soil, biomass, and CH4 flux data from a literature review. We assess uncertainty in this developing carbon monitoring system to quantify confidence in the inventory process itself and to prioritize future research. We provide a value-added analysis by defining types and scales of uncertainty for assumptions, burial and emissions datasets, and wetland maps, simulating 10 000 iterations of a simplified version of the inventory, and performing a sensitivity analysis. Coastal wetlands were likely a source of net-CO2-equivalent (CO2e) emissions from 2006–2011. Although stable estuarine wetlands were likely a CO2e sink, this effect was counteracted by catastrophic soil losses in the Gulf Coast, and CH4 emissions from tidal freshwater wetlands. The direction and magnitude of total CONUS CO2e flux were most sensitive to uncertainty in emissions and burial data, and assumptions about how to calculate the inventory. Critical data uncertainties included CH4 emissions for stable freshwater wetlands and carbon burial rates for all coastal wetlands. Critical assumptions included the average depth of soil affected by erosion events, the method used to convert CH4 fluxes to CO2e, and the fraction of carbon lost to the atmosphere following an erosion event. The inventory was relatively insensitive to mapping uncertainties. Future versions could be improved by collecting additional data, especially the depth affected by loss events, and by better mapping salinity and inundation gradients relevant to key GHG fluxes. Social Media Abstract: US coastal wetlands were a recent and uncertain source of greenhouse gasses because of CH4 and erosion.
    Description: Financial support was provided primarily by NASA Carbon Monitoring Systems (NNH14AY67I) and the USGS Land Carbon Program, with additional support from The Smithsonian Institution, The Coastal Carbon Research Coordination Network (DEB-1655622), and NOAA Grant: NA16NMF4630103.
    Keywords: Coastal wetland ; Carbon cycle ; Tidal wetland ; Saltmarsh ; Mangrove ; Tidal freshwater forest ; Greenhouse gas inventory
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 3
    Publication Date: 2022-05-25
    Description: © The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Scientific Reports 8 (2018): 15219, doi:10.1038/s41598-018-33283-4.
    Description: This Article corrects an error in Equation 1
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 4
    Publication Date: 2022-05-25
    Description: © The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Scientific Reports 8 (2018): 9478, doi:10.1038/s41598-018-26948-7.
    Description: Tidal wetlands produce long-term soil organic carbon (C) stocks. Thus for carbon accounting purposes, we need accurate and precise information on the magnitude and spatial distribution of those stocks. We assembled and analyzed an unprecedented soil core dataset, and tested three strategies for mapping carbon stocks: applying the average value from the synthesis to mapped tidal wetlands, applying models fit using empirical data and applied using soil, vegetation and salinity maps, and relying on independently generated soil carbon maps. Soil carbon stocks were far lower on average and varied less spatially and with depth than stocks calculated from available soils maps. Further, variation in carbon density was not well-predicted based on climate, salinity, vegetation, or soil classes. Instead, the assembled dataset showed that carbon density across the conterminous united states (CONUS) was normally distributed, with a predictable range of observations. We identified the simplest strategy, applying mean carbon density (27.0 kg C m−3), as the best performing strategy, and conservatively estimated that the top meter of CONUS tidal wetland soil contains 0.72 petagrams C. This strategy could provide standardization in CONUS tidal carbon accounting until such a time as modeling and mapping advancements can quantitatively improve accuracy and precision.
    Description: Synthesis efforts were funded by NASA Carbon Monitoring System (CMS; NNH14AY67I), USGS LandCarbon and the Smithsonian Institution. J.R.H. was additionally supported by the NSF-funded Coastal Carbon Research Coordination Network while completing this manuscript (DEB-1655622). J.M.S. coring efforts were funded by NSF (EAR-1204079). B.P.H. coring efforts were funded by Earth Observatory (Publication Number 197).
    Repository Name: Woods Hole Open Access Server
    Type: Article
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