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Ren X, Wang XL, Zhang FF, Du JQ, Du JZ, Hong GH. Utilities of environmental radioactivity tracers in assessing sequestration potential of carbon in the coastal wetland ecosystems. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY 2024; 277:107464. [PMID: 38851006 DOI: 10.1016/j.jenvrad.2024.107464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 05/28/2024] [Accepted: 05/28/2024] [Indexed: 06/10/2024]
Abstract
Demand for accurate estimation of coastal blue carbon sequestration rates in a regular interval has recently surged due to the increasing awareness of nature-based climate solutions to alleviate adverse impacts stemming from the recent global warming. The robust estimation method is, however, far from well-established. The international community requires, moreover, to quantify its effect of "management." This article tries to provide the environmental isotope community with basic biophysical features of coastal blue carbon ecosystems to identify a suitable set of environmental isotopes for promoting coastal ocean-based climate solutions. This article reviews (i) the primary biophysical characteristics of coastal blue carbon ecosystems and hydrology, (ii) their consequential impact on the accumulation and preservation of organic carbon (OC) in the sediment column, (iii) suitable environmental isotopes to quantifying the sedimentary organic carbon accumulation, outwelling of the carbon-containing byproducts of decomposition of biogenic organic matter and acid neutralizing alkalinity produced in situ sediment to the offshore. Above-ground biomass is not cumulative over the years except for mangrove forests within coastal blue carbon systems. Non-gaseous carbon sequestration and loss occur mainly as a form of sediment organic carbon (SOC) and dissolved carbon in an intertidal and subtidal bottom sediment body in a slow, patchy, and dispersive way, on which this article focuses. Investigating environmental radionuclides is probably the most cost-effective effort to contribute to defining the offshore spatial extent of coastal blue carbon systems except for seagrass beds (e.g., Ra isotopes), to quantify millimeter per year scale carbon accretion and loss within the systems (e.g., 7Be, 210Pb) and a liter per meter of coastline per a day scale water movement from the systems (Ra isotopes). A millimeter-scale spatial and an annual (or less) time-scale resolution offered by the use of environmental isotopes would equip us with a novel tool to enhance the carbon storage capacity of the coastal blue carbon system.
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Affiliation(s)
- X Ren
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241, China; Guangxi Key Laboratory of Marine Environmental Change and Disaster in Beibu Gulf, Beibu Gulf University, Qinzhou 535011, China
| | - X L Wang
- Guangxi Key Laboratory of Marine Environmental Change and Disaster in Beibu Gulf, Beibu Gulf University, Qinzhou 535011, China
| | - F F Zhang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241, China
| | - J Q Du
- National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - J Z Du
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241, China
| | - G H Hong
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200241, China; Integrated Marine Biosphere Research International Project Office, State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200242, China.
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Mariano Neto M, da Silva JB, de Brito HC. Carbon stock estimation in a Brazilian mangrove using optical satellite data. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 196:9. [PMID: 38049645 DOI: 10.1007/s10661-023-12151-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 11/18/2023] [Indexed: 12/06/2023]
Abstract
The research proposes a model to estimate the carbon stock in mangrove forests from multispectral images from Landsat 8 and Sentinel 2B satellites. The Gramame River mangrove, located on the southern coast of Paraíba State, Brazil, was adopted as the study area. Carbon stocks in biomass, below and above ground, were measured from a forest inventory, and vegetation indices were processed on the Google Earth Engine (GEE) platform. To define the fit curves, linear and non-linear regressions were used. The choice of the model considered the highest coefficients of determination (R2), the biomass and carbon stock were estimated from the equations. The biomass carbon stock, calculated from field data, corresponded to 22.27 Gg C, equivalent to 81.75 Gg CO2, with 13.85 Gg C (50.84 Gg CO2) and 8.42 Gg C (30.91 Gg CO2) stored in biomass above and below ground, respectively. Among the models fitted to the indices calculated from Landsat 8 images, NDVI was the one that best explained the spatial distribution of biomass and carbon, with 90.26%. For Sentinel 2B, SAVI was able to explain 80.76%. The total estimated plant carbon stocks corresponded to 26.66 Gg (16.20 Gg C above and 10.36 Gg C below ground) for Landsat 8 and 27.76 Gg C (16.93 Gg C above and 10.83 Gg C below ground) for Sentinel 2B. The proposed work methodology and the suggested mathematical models can be replicated to analyze carbon stocks in other locations, especially in the Americas, because they share the same species.
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Affiliation(s)
- Manoel Mariano Neto
- Center of Technology, Federal University of Alagoas, Maceió, Alagoas, Brazil.
| | | | - Higor Costa de Brito
- Center of Technology and Natural Resources, Federal University of Campina Grande, Campina Grande, Paraíba, Brazil
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Gomes LEDO, Sanders CJ, Nobrega GN, Vescovi LC, Queiroz HM, Kauffman JB, Ferreira TO, Bernardino AF. Ecosystem carbon losses following a climate-induced mangrove mortality in Brazil. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 297:113381. [PMID: 34325365 DOI: 10.1016/j.jenvman.2021.113381] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 07/13/2021] [Accepted: 07/23/2021] [Indexed: 06/13/2023]
Abstract
Drought events may induce mangrove mortality and dieback events worldwide as a result of climate extremes. As mangroves sequester large quantities of carbon, quantifying the losses of these stocks following climate disturbances may guide wetland governance strategies globally. In Southeast Brazil, we determined the total ecosystem carbon stocks (TECS) of pristine mangroves that were up to 1851 Mg of carbon per hectare (Mg C ha-1), which are the highest stocks measured from South American and raising estimates of Brazil's mangrove TECS to 0.52 Pg C. A mangrove mortality event in the same estuary resulted in a 14.6 % decrease in TECS (270.5 Mg C ha-1) and loss of 20 % of mangrove soil carbon within less than 2-years. Carbon dioxide emissions from this impact were 992.8 Mg CO2e ha-1, which are slightly lower than emissions from land use disturbances on mangroves worldwide. Our results suggest that climate effects on mangroves can become significant sources of greenhouse gases globally.
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Affiliation(s)
- Luiz Eduardo de Oliveira Gomes
- Grupo de Ecologia Bêntica, Departamento de Oceanografia e Ecologia, Universidade Federal do Espírito Santo, Av. Fernando Ferrari, 514, Goiabeiras, Vitória, ES, 29075-910, Brazil.
| | - Christian J Sanders
- National Marine Science Centre, School of Environment, Science and Engineering, Southern Cross University, PO Box 4321, Coffs Harbour, 2450, New South Wales, Australia
| | - Gabriel N Nobrega
- Programa de Pós-Graduação em Geociências (Geoquímica), Departamento de Geoquímica, Universidade Federal Fluminense, Niterói, RJ, Brazil
| | - Lucas C Vescovi
- Grupo de Ecologia Bêntica, Departamento de Oceanografia e Ecologia, Universidade Federal do Espírito Santo, Av. Fernando Ferrari, 514, Goiabeiras, Vitória, ES, 29075-910, Brazil
| | - Hermano M Queiroz
- Soil Science Department, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP, Brazil
| | - J Boone Kauffman
- Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, 97331, USA
| | - Tiago O Ferreira
- Soil Science Department, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP, Brazil
| | - Angelo F Bernardino
- Grupo de Ecologia Bêntica, Departamento de Oceanografia e Ecologia, Universidade Federal do Espírito Santo, Av. Fernando Ferrari, 514, Goiabeiras, Vitória, ES, 29075-910, Brazil.
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