Modeling the Economic Value of Blue Carbon in Delaware Estuary Wetlands: Historic Estimates and Future Projections

Carr, Edward W.; Shirazi, Yosef; Parsons, George R.; Hoagland, Porter; Sommerfield, Christopher K.

doi:10.1016/j.jenvman.2017.10.018

Cited by 26 publications

(11 citation statements)

References 60 publications

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“…However, despite contributing to the models, the pattern with population was less apparent with some SOC stock increases at low populations and a neutral relationship across increasing populations, which probably corresponds to the complexity of the processes associated with human‐related activities. For example, increased population could cause ecosystem degradation (Carr et al, 2018) and lower SOC stocks or increase the inputs of nutrients and organic materials (Leiva‐Dueñas et al, 2018) therefore, increasing primary productivity and allochthonous SOC stocks. In addition, this pattern could also be reflected by the different economic activities displayed within the GBR catchments.…”

Section: Discussionmentioning

confidence: 99%

Current and future carbon stocks in coastal wetlands within the Great Barrier Reef catchments

Costa

Lovelock

Waltham

et al. 2021

Global Change Biology

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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.

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Section: Discussionmentioning

confidence: 99%

Current and future carbon stocks in coastal wetlands within the Great Barrier Reef catchments

Costa

Lovelock

Waltham

et al. 2021

Global Change Biology

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“…These models also vary greatly in their final output or endpoint. Some estimate relative changes in the degree of EGS provision (Hanson et al 2012;Harris et al 2018), while others estimate monetary values of EGS (Carr et al 2018). The example models we discuss in this chapter all provide outputs that are quantitative and informative (but not necessarily monetary), as these provide the most benefit to decision-makers at local and regional scales (Ruckelshaus et al 2015).…”

Section: Needs To Advance Ebmmentioning

confidence: 99%

Projecting Changes to Coastal and Estuarine Ecosystem Goods and Services—Models and Tools

Lewis

Marois

Littles

et al. 2020

Ecosystem-Based Management, Ecosystem Services and Aquatic Biodiversity

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Coasts and estuaries provide an abundance of ecosystem goods and services (EGS) to humans worldwide. Models that track the supply, demand, and change in EGS within these ecosystems provide valuable insights that have applications in the context of land-use planning, decision-making, and coastal community engagement. However, developing models for use in coastal and estuarine ecosystems is challenging given the multitude and variability of potential input variables, largely due to their dynamic nature and extensive use. Models that can incorporate scenarios of environmental change to forecast changes in EGS endpoints are highly valuable to decision-makers, but only a minor proportion of available EGS models offer this utility. In this chapter, we describe the domain of models most useful to coastal decision-makers, present models at multiple scales that can predict EGS changes, and examine specific examples that epitomize this utility. We also highlight common difficulties in modeling coastal and estuarine EGS and propose suggestions for integrating EGS models into the coastal management decision-making process during times of increasing environmental change. Lessons Learned • Identifying the most suitable model(s) given the scale(s) of a particular question or goal is paramount in the modeling process • Uncertainty is an inherent component of modeling that should be wellcommunicated by users to avoid misinterpretation of results

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“…A green plant can sequestrate 12 g of carbon upon absorbing 44 g of carbon dioxide (CO 2 ) via photosynthesis. Based on this, the carbon sink value in this study was calculated with reference to a model of the social cost of carbon (Carra et al 2017) as follows:…”

Section: Laboratory Analysis and Calculationmentioning

confidence: 99%

Analysis of intrinsic value and estimating losses of “blue carbon” in coastal wetlands: a case study of Yancheng, China

Zang

2019

Ecosyst Health Sustain

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Introduction: Large stocks of "blue carbon" exist in the ecosystems of coastal wetlands. This paper presents a case study of the Chinese city of Yancheng. First, through field surveys and laboratory analysis, changes in the organic carbon (OC) content in typical plant communities throughout the study area are described in detail. Second, an OC burial rate and economic value model is constructed to analyze the composition of the carbon sink values. Outcomes/other: The results are as follows: Of the typical plant communities, Spartina alterniflora has the highest OC content (5.80 g•kg-1), followed by Suaeda glauca (4.78 g•kg-1) and Phragmites australis (3.76 g•kg-1); the contemporary OC sedimentation rates are 2.01, 1.48, and 1.22 cm•yr-1, respectively. Spartina alterniflora communities have the highest annual average carbon sink value ($418.74/ha) in the study area, followed by Phragmites australis ($176.29/ha) and Suaeda glauca ($101.54/ha). Discussion: As a result of both the expansion of the Spartina alterniflora area and coastal erosion, the total OC value since 1987 has displayed two-stage characteristics: it first increased and then decreased. Conclusion: In recent years, the annual average

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Modeling the Economic Value of Blue Carbon in Delaware Estuary Wetlands: Historic Estimates and Future Projections

Cited by 26 publications

References 60 publications

Current and future carbon stocks in coastal wetlands within the Great Barrier Reef catchments

Current and future carbon stocks in coastal wetlands within the Great Barrier Reef catchments

Projecting Changes to Coastal and Estuarine Ecosystem Goods and Services—Models and Tools

Analysis of intrinsic value and estimating losses of “blue carbon” in coastal wetlands: a case study of Yancheng, China

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