The coastal protection and blue carbon benefits of hybrid mangrove living shorelines

Morris, Rebecca; Fest, Benedikt; Stokes, Debra J; Jenkins, Charlotte; Swearer, Stephen E.

doi:10.1016/j.jenvman.2023.117310

Cited by 12 publications

(6 citation statements)

References 38 publications

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“…Topic I: Blue carbon plays a prominent role in ocean and climate change issues Inextricably linked to climate, the oceans play a key role in climate change mitigation and adaptation [135][136][137][138][139][140], and blue carbon plays a potential contributing or even the predominant role [11,55,[140][141][142][143][144][145][146][147][148][149][150][151]. As part of the ongoing discussions regarding the oceanclimate nexus and blue carbon, more attention is being paid to carbon cycling and storage processes in the open ocean as a potential solution to climate change [107].…”

Section: Currently Researched Topicsmentioning

confidence: 99%

See 1 more Smart Citation

A Systematic Review and Global Trends on Blue Carbon and Sustainable Development: A Bibliometric Study from 2012 to 2023

Pang,

Abdul Majid,

Perera

et al. 2024

Sustainability

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Halfway through Transforming Our World: The 2030 Agenda for Sustainable Development, only 15 percent of the goals have been reached. As a carbon storage and climate change mitigation mechanism, blue carbon is closely related to sustainable development goals and plays an important role in the global carbon cycle. In spite of its great potential, blue carbon still faces several challenges in terms of achieving the Sustainable Development Goals. Herein, this review aims to retrieve all known impacts of blue carbon on sustainable development through research published on the Web of Science from 2012 to 2023 using a sequence of bibliometric analyses. Keywords such as “blue carbon” and “sustain*” (including “sustainability”, “sustainable”, etc.) were used for article extraction. CiteSpace, a science mapping tool, was used to capture and visually present the bibliometric information in the research about blue carbon and sustainable development. Upon reviewing the existing literature, no study has concentrated on bibliometrically analyzing and visualizing studies about blue carbon and sustainable development. This study sets out to fill this gap by examining the key areas of concentration in published works on blue carbon and sustainable development from 2012 to date. Moreover, the integration of blue carbon and sustainable development may help to develop supportive policies for marine carbon sinks. Despite the valuable contribution of this study to the blue carbon and sustainable development body of knowledge, generalizations of the results must be made cautiously due to the use of a single database, which in this case is the Web of Science.

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Section: Currently Researched Topicsmentioning

confidence: 99%

“…Plantations of iteroparous mangrove species may provide an effective solution to these challenges [254]. Furthermore, it is proposed that living shorelines that incorporate blue carbon ecosystems into their design could sustain and/or increase carbon stocks and carbon sequestration capacity in Australia [150].…”

Section: Currently Researched Topicsmentioning

confidence: 99%

A Systematic Review and Global Trends on Blue Carbon and Sustainable Development: A Bibliometric Study from 2012 to 2023

Pang,

Abdul Majid,

Perera

et al. 2024

Sustainability

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“…To optimize the update of network parameters, the Adam optimizer [49] was used. The specific equation, Equation (1), is as follows:…”

Section: Principle Of the U-net Modelmentioning

confidence: 99%

“…Mangroves are mainly distributed in tropical and subtropical regions between 32 • N and 38 • S around the world, and they play important roles in coastal environmental protection [1,2], water purification [3,4], carbon sequestration [5][6][7], biodiversity conservation [8,9], and other ecological functions [4,10,11]. Due to human activities and climate change, the mangrove ecosystem is one of the most fragile ecosystems on Earth and has unique habitat conditions.…”

Section: Introductionmentioning

confidence: 99%

Using Multisource High-Resolution Remote Sensing Data (2 m) with a Habitat–Tide–Semantic Segmentation Approach for Mangrove Mapping

Sun,

Jiang,

Ling

et al. 2023

Remote Sensing

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Mangrove wetlands are hotspots of global biodiversity and blue carbon reserves in coastal wetlands, with unique ecological functions and significant socioeconomic value. Annual fine-scale monitoring of mangroves is crucial for evaluating national conservation programs and implementing sustainable mangrove management strategies. However, annual fine-scale mapping of mangroves over large areas using remote sensing remains a challenge due to spectral similarities with coastal vegetation, tidal periodic fluctuations, and the need for consistent and dependable samples across different years. In previous research, there has been a lack of strategies that simultaneously consider spatial, temporal, and methodological aspects of mangrove extraction. Therefore, based on an approach that considers mangrove habitat, tides, and a semantic segmentation approach, we propose a method for fine-scale mangrove mapping suitable for long time-series data. This is an optimized hybrid model that integrates spatial, temporal, and methodological considerations. The model uses five sensors (GF-1, GF-2, GF-6, ZY-301, ZY-302) to combine deep learning U-Net models with mangrove habitat information and algorithms during low-tide periods. This method produces a mangrove map with a spatial resolution of 2 m. We applied this algorithm to three typical mangrove regions in the Beibu Gulf of Guangxi Province. The results showed the following: (1) The model scored above 0.9 in terms of its F1-score in all three study areas at the time of training, with an average accuracy of 92.54% for mangrove extraction. (2) The average overall accuracy (OA) for the extraction of mangrove distribution in three typical areas in the Beibu Gulf was 93.29%. When comparing the validation of different regions and years, the overall OA accuracy exceeded 89.84% and the Kappa coefficient exceeded 0.74. (3) The model results are reliable for extracting sparse and slow-growing young mangroves and narrow mangrove belts along roadsides. In some areas where tidal flooding occurs, the existing dataset underestimates mangrove extraction to a certain extent. The fine-scale mangrove extraction method provides a foundation for the implementation of fine-scale management of mangrove ecosystems, support for species diversity conservation, blue carbon recovery, and sustainable development goals related to coastal development.

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“…The mangrove distribution has changed significantly in recent decades, making the GBG and GBA hotspots for mangrove remote sensing monitoring and related research in China [44][45]. Therefore, a systematic assessment of the accuracy and applicability of mangrove products in the GBG and GBA is necessary to support regional scientific research, such as estimation of the carbon storage of mangroves, assessment of mangrove conservation and restoration effects and assessment of mangrove ecological functions [46][47].…”

Section: Introductionmentioning

confidence: 99%

Agreement Analysis and Accuracy Assessment of Multiple Mangrove Datasets in Guangxi Beibu Gulf and Guangdong-Hong Kong-Macau Greater Bay, China, for 2000–2020

Xiao,

Jiang,

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Accurate and reliable mangrove datasets are essential for the protection and management of mangrove ecosystems. Therefore, evaluation of the current mangrove datasets and understanding the differences among them are critical. This study takes the Guangxi Beibu Gulf (GBG) and Guangdong-Hong Kong-Macao Greater Bay Area (GBA) as the study areas and analyzes the agreement and accuracy of eight mangrove datasets from 2000 to 2020 using area comparison, spatial agreement analysis, and absolute accuracy evaluation. The results show that (1) significant differences exist in mangrove area and spatial distribution among the different mangrove datasets, with the percentage of high agreement areas ranging from 10% to 42%. (2) The overall accuracy of the evaluated mangrove datasets ranges from 56.2% to 95.6%, and the classification accuracy of mangrove datasets in inland areas is lower than the overall level. (3) There are regional differences in the quality of mangrove datasets, with the agreement and accuracy of mangrove datasets in the GBG being greater than those in the GBA. (4) Fine-scale mangrove mapping based on high-resolution remote sensing images such as Sentinel and global mangrove mapping based on the Google Earth Engine (GEE) cloud platform should be emphasized in the future. The findings of this study can provide guidance for data users to select appropriate mangrove datasets and a reference for future mangrove mapping research.

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The coastal protection and blue carbon benefits of hybrid mangrove living shorelines

Cited by 12 publications

References 38 publications

A Systematic Review and Global Trends on Blue Carbon and Sustainable Development: A Bibliometric Study from 2012 to 2023

A Systematic Review and Global Trends on Blue Carbon and Sustainable Development: A Bibliometric Study from 2012 to 2023

Using Multisource High-Resolution Remote Sensing Data (2 m) with a Habitat–Tide–Semantic Segmentation Approach for Mangrove Mapping

Agreement Analysis and Accuracy Assessment of Multiple Mangrove Datasets in Guangxi Beibu Gulf and Guangdong-Hong Kong-Macau Greater Bay, China, for 2000–2020

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