Status, limitations, and challenges of blue carbon studies in the Philippines: A bibliographic analysis

Corcino, Russel Christine B.; Gerona-Daga, Maria Elisa B.; Samoza, Shaina C.; Fraga, John Kenneth R.; Salmo, Severino G.

doi:10.1016/j.rsma.2023.102916

Cited by 5 publications

(5 citation statements)

References 123 publications

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“…Topic II: Blue carbon ecosystem assessment and sustainable management Seagrasses (dead seagrass, seagrass beds, seagrass meadows), mangroves, coral reefs, kelps, saltmarshes, macroalgae (or seaweeds), benthic microalgae, etc., constitute the blue carbon ecosystem, whose comprehensive benefit is also determined by the size, quality, and extent of the ecosystem [69,71,76,104,110,124,135,136,161,164,165,168,[170][171][172][173][174][175][176][177][178][179][180][181][182][183][184]. Due to the structural complexity of coastal vegetation ecosystems (root systems, dense vegetation, and leafy canopy in seagrass systems), salt marshes, mangroves, and seagrass beds are capable of efficiently capturing sediment and associated organic carbon from both riverine and oceanic sources [164].…”

Section: Currently Researched Topicsmentioning

confidence: 99%

“…Conserving and restoring blue carbon ecosystems overlap with protected area management, which are overseen through the Convention on Biological Diversity and the Antarctic regime complex for the Southern Ocean [140]. However, there is a limited number of empirical values generated by these studies [183], especially in terms of policy perspectives.…”

Section: Topic Iii: Integrating Sustainability Into Economic Developmentmentioning

confidence: 99%

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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%

Section: Topic Iii: Integrating Sustainability Into Economic Developmentmentioning

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

View full text Add to dashboard Cite

show abstract

“…However, important information that describes its current extent and historical change dynamics is not yet available. Moreover, recent reports on the Blue Carbon Ecosystems (BCE) studies in the Philippines elucidate that the mangroves forest located in Northern Mindanao is one of the least studied BCE sites in the Philippines (Corcino et al, 2023), which makes it imperative to conduct remote sensing-based studies to improve our understanding about the current state of mangroves present in the bay. Moreover, remote sensing-based studies that may depict the contemporary extent as well as disclose the historical changes are recommended to monitor development changes.…”

Section: Study Areamentioning

confidence: 99%

Application of Machine Learning Methodology to Track History of Mangrove Forest Change in Macajalar Bay, Northern Mindanao (1950-2020)

Salvaña,

Osa,

Agudo

2023

Preprint

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Mangrove forest in Macajalar Bay is regarded as an important ecosystem as it provides numerous ecosystem services. Despite their importance, deforestation has been rampant and has reached critical rates. Addressing this problem and further advancing conservation requires accurate mapping of mangroves, and understand the historical land cover changes. However, such information is sparse and insufficient to understand the change dynamics. In this study, mangrove cover change dynamics for Macajalar Bay, Philippines was determined using Landsat data and machine learning techniques. Vegetation maps derived from aerial photographs and satellite images were used to quantify mangroves and to monitor the rates of deforestation over a 70-year period. In 2020, the mangrove forest cover was estimated to be 187.67 ha, equivalent to only 58.00% of the 325.43 ha that was estimated in 1950. Original mangrove forest that existed in 1950 only represents 8.56% of the 2020 extent, suggesting that much of the old-growth mangrove have been cleared before 2000 and that contemporary mangrove extent is mainly composed of secondary forest. Highest deforestation rates occurred between 1950–1990 where it recorded a total of 258.51 ha, averaging a clearing rate of 6.46 ha/year. Clearing has been driven by large-scale aquaculture pond developments. Mangrove gains were evident in 2000 but it plateaued as it approaches 2020, while loss simultaneously increased since 2010. This indicates that mangroves gained since 2000 have experienced low survival rates. Promoting site-species matching, biophysical assessment, and verification of fishpond availability for mangrove rehabilitation programs are necessary undertakings to address such problems.

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“…However, the distribution of mangroves, historical changes, and their corresponding change drivers for Macajalar Bay, Northern Mindanao have not been studied. This is evident in the review of Corcino et al, (2023) where they mentioned that Blue Carbon Ecosystems (BCE) including mangroves found in Northern Mindanao have been ranked as the least studied BCE sites among all regions in the Philippines. Thomas et al, (2017) argued that a subset of available global mangrove forest maps can be used to track mangrove forests within the bay, yet most of these provide only single-time conditions and are unable to describe important mangrove change dynamics.…”

Section: Introductionmentioning

confidence: 98%

Multidecadal mangrove forest change in Macajalar Bay, Northern Mindanao, Philippines (1950–2020) using remote sensing and geographic information systems

Salvaña,

Osa,

Agudo

2024

Environ Monit Assess

View full text Add to dashboard Cite

Mangrove forest in Macajalar Bay is regarded as an important ecosystem as it provides numerous ecosystem services. Despite their importance, deforestation has been rampant and has reached critical rates. Addressing this problem and further advancing conservation requires accurate mapping of mangroves, and understand the historical land cover changes. However, such information is sparse and insu cient to understand the change dynamics. In this study, mangrove cover change dynamics for Macajalar Bay, Philippines was determined using Landsat data and machine learning techniques. Vegetation maps derived from aerial photographs and satellite images were used to quantify mangroves and to monitor the rates of deforestation over a 70-year period. In 2020, the mangrove forest cover was estimated to be 187.67 ha, equivalent to only 58.00% of the 325.43 ha that was estimated in 1950. Original mangrove forest that existed in 1950 only represents 8.56% of the 2020 extent, suggesting that much of the old-growth mangrove have been cleared before 2000 and that contemporary mangrove extent is mainly composed of secondary forest. Highest deforestation rates occurred between where it recorded a total of 258.51 ha, averaging a clearing rate of 6.46 ha/year. Clearing has been driven by large-scale aquaculture pond developments. Mangrove gains were evident in 2000 but it plateaued as it approaches 2020, while loss simultaneously increased since 2010. This indicates that mangroves gained since 2000 have experienced low survival rates. Promoting site-species matching, biophysical assessment, and veri cation of shpond availability for mangrove rehabilitation programs are necessary undertakings to address such problems.

show abstract

Status, limitations, and challenges of blue carbon studies in the Philippines: A bibliographic analysis

Cited by 5 publications

References 123 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

Application of Machine Learning Methodology to Track History of Mangrove Forest Change in Macajalar Bay, Northern Mindanao (1950-2020)

Multidecadal mangrove forest change in Macajalar Bay, Northern Mindanao, Philippines (1950–2020) using remote sensing and geographic information systems

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