Carbon stock at several types of mangrove ecosystems in Bregasmalang, Central Java, Indonesia

SUGIATMO, SUGIATMO; POEDJIRAHAJOE, ERNY; Pudyatmoko, Satyawan; Purwanto, Ris Hadi

doi:10.13057/biodiv/d240122

Cited by 4 publications

(4 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This indicates that older mangroves within this height range are the most extensive component of the ecosystem, as observed in Figure 7 [42,43]. These taller and older mangroves likely contribute significantly to carbon storage, which is supported by findings from Sugiatmo et al in 2023 and Aye et al in 2022 that highlight the relationship between stand height, mangrove biomass, and their carbon sequestration capacities [44,45].…”

Section: Combine Interpretation Using Svm and Height Tree (Dsm -Dtm)supporting

confidence: 63%

Horizontal-Vertical Interpretation of Mangrove Using Data Unmanned Aerial Vehicles in Tongke-tongke Indonesia

Salle,

Soma,

Paembonan

et al. 2024

Preprint

View full text Add to dashboard Cite

This research explores the application of Support Vector Machine (SVM) and Digital Surface Models (DSM) derived from Unmanned Aerial Vehicle (UAV) data for a vertical-horizontal classification of mangrove ecosystems in Tongke-tongke and Samataring Village. The study focuses on integrating high-resolution DSM subtracted from Digital Terrain Models (DTM) to classify mangrove vegetation into sixteen distinct vertical-horizontal classes based on vegetation type and elevation. The analysis revealed that older mangroves, particularly those within the 25-35 meters elevation range, dominate the landscape, accounting for 43.40% of the total classified area. This dominance suggests a mature and ecologically stable mangrove ecosystem, which is crucial for biodiversity conservation and carbon storage. The study demonstrates the effectiveness of SVM and UAV technologies in providing detailed and accurate ecological assessments of mangrove forests. The classification results contribute valuable insights into the structural diversity and health of mangrove ecosystems, facilitating targeted conservation and management strategies. Additionally, the research highlights the utility of advanced remote sensing and machine learning techniques in enhancing the precision of environmental monitoring and the assessment of carbon sequestration capabilities within mangrove ecosystems. The findings underscore the potential of UAV-based remote sensing for ecological studies, offering a replicable method for similar assessments in other regions, thereby supporting global environmental management and climate action initiatives.

show abstract

Section: Combine Interpretation Using Svm and Height Tree (Dsm -Dtm)supporting

confidence: 63%

Horizontal-Vertical Interpretation of Mangrove Using Data Unmanned Aerial Vehicles in Tongke-tongke Indonesia

Salle,

Soma,

Paembonan

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The estimated AGB carbon stock of mangrove forest in Benoa Bay was relatively higher compare to several rehabilitated mangrove forest in Indonesia, for example in Tanakeke South Sulawesi (37.6 MgC/Ha), Deli Serdang North Sumatra (40-50 MgC/Ha) and Bregasmalang Central Java (30.27 MgC/ha) [20][21][22]. The carbon stock in the mangrove forests of Benoa Bay Bali, however, is significantly lower when compared to natural mangrove forests in relatively undisturbed environments.…”

Section: Figure 3 Results Of Agb Biomass and Carbon Stock Estimation ...mentioning

confidence: 80%

Mapping mangrove above ground carbon stock of benoa bay bali using sentinel-1 satellite imagery

Hidayah,

Utama,

As-Syakur

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Mangrove forest ecosystems distributed in tropical countries play an important role in carbon sequestration. The presence of mangrove forests is estimated to be capable of reducing CO2 levels caused by air pollution. The process of photosynthesis absorbs CO2 gas from the atmosphere and stores it as organic matter in the form of plant biomass. The amount of carbon stock stored in mangrove forests can be estimated using a regression model based on satellite imagery pixel values and above ground biomass (AGB) measurements. This study used the backscattering value of SAR Sentinel 1 images and field AGB measurements to map carbon stocks in the mangrove forest ecosystem of Benoa Bay, Bali. The processed backscattering value is the result of VV and VH polarization in the SAR Sentinel 1 image acquired in 2022. Meanwhile, AGB is calculated using the allometric equation based on the mangrove’s species found at the study site. The biomass at the study location was estimated to be in the range of 64.18 Mg/Ha to 175.24 Mg/Ha, with an average of 115.34 ± 25.33 Mg/Ha. Therefore, the carbon stock of Benoa Bay can be estimated to have values in the range of 30.16 MgC/Ha to 82.36 MgC/Ha, with an average of 54.21 ± 11.09 MgC/Ha. In terms of estimating AGB biomass based on SAR pixel values, the VH polarization produces a better model (R2 = 0.635) than the VV polarization.

show abstract

“…Sasmito et al (2019) also conducted a global assessment of mangrove carbon stocks and emissions relating to land use and land cover change. Furthermore, carbon stock studies also have been conducted in the largest mangrove wetlands in the world, Sundarbans (Chowdhury et al, 2023), and in a country that has the widest mangrove area on this planet, Indonesia such as Kepel et al (2019) in Sulawesi, Sugiatmo et al (2023 andNehren andWicaksono (2018) in Central Java, Pricillia et al (2021) in Bali, Arif et al (2017) in East Java, Hanggara et al (2021) in Sumatera, and Syarif (2023) in Riau Archipelago. However, within 24 years , global mangrove forests have decreased by 3.4% (5,245 km 2 ) (Bunting et al, 2022) mainly due to conversion to aquaculture and agriculture (Goldberg et al, 2020;Adame et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Carbon stocks and effluxes in mangroves converted into aquaculture: a case study from Banten province, Indonesia

Royna,

Murdiyarso,

Sasmito

et al. 2024

Front. Ecol. Evol.

View full text Add to dashboard Cite

Aquaculture is one of the main drivers of mangrove loss across Southeast Asian countries. The conversion of mangroves to aquaculture generates substantial loss of carbon stocks and reduces carbon storage capacity. Here, we present total ecosystem carbon stocks (TECS), carbon dioxide (CO2) and methane (CH4) effluxes obtained from mangrove forests (fringe and interior mangroves), silvofishery aquaculture ponds (dense and sparse mangroves), and non-silvofishery aquaculture ponds in Sawah Luhur, Banten, Indonesia. We found no significant difference in TECS across five land uses, ranging from 261 ± 14 Mg C ha-1 in non-silvofishery ponds to 574 ± 119 Mg C ha-1 in fringe mangroves. Most of these stocks were found in the soil carbon pool (87%) in fringe and interior mangroves. However, the conversion of mangroves to aquaculture ponds resulted in soil carbon loss from -6% to 60%. The highest soil CO2 effluxes during dry and wet seasons were observed in interior mangroves (151 ± 12 mg CO2 m-2 h-1). The highest soil CH4 effluxes were found in fringe mangroves with 0.13 ± 0.04 mg CH4 m-2 h-1. The highest aquatic CO2 and CH4 effluxes were found in dense silvofishery ponds, at 118 ± 7 mg CO2 m-2 h-1 and 0.38 ± 0.04 mg CH4 m-2 h-1, respectively. Our findings suggest that land use that includes mangroves (i.e., mangrove forest and/or silvofishery ponds) tends to have higher carbon stocks, soil, and aquatic CO2 and CH4 effluxes, compared to aquaculture ponds without mangroves. It is therefore crucial to maintain mangroves for natural carbon capture and storage through carbon stock enhancement.

show abstract

Carbon stock at several types of mangrove ecosystems in Bregasmalang, Central Java, Indonesia

Cited by 4 publications

References 60 publications

Horizontal-Vertical Interpretation of Mangrove Using Data Unmanned Aerial Vehicles in Tongke-tongke Indonesia

Horizontal-Vertical Interpretation of Mangrove Using Data Unmanned Aerial Vehicles in Tongke-tongke Indonesia

Mapping mangrove above ground carbon stock of benoa bay bali using sentinel-1 satellite imagery

Carbon stocks and effluxes in mangroves converted into aquaculture: a case study from Banten province, Indonesia

Contact Info

Product

Resources

About