Environmental Science
S.H. Larekeng; M. Nursaputra; M.F. Mappiasse; S. Ishak; M. Basyuni; E. Sumarga; V.B. Arifanti; A.A. Aznawi; Y.I. Rahmila; M. Yulianti; R. Rahmania; A. Mubaraq; S.G. Salmo III; H. Ali; I. Yenny
Abstract
BACKGROUND AND OBJECTIVES: Mangroves play a crucial role in mitigating climate change by absorbing carbon stocks. However, there is a lack of information on mangrove distribution and their carbon absorption abilities. Therefore, this study aimed to bridge this gap by gathering data on the ability of ...
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BACKGROUND AND OBJECTIVES: Mangroves play a crucial role in mitigating climate change by absorbing carbon stocks. However, there is a lack of information on mangrove distribution and their carbon absorption abilities. Therefore, this study aimed to bridge this gap by gathering data on the ability of mangrove forest areas to absorb carbon stocks. Specifically, this study aims to assess the carbon absorption potential of the Lantebung mangrove ecosystem through field surveys, allometric calculations, and unmanned aerial vehicle imagery.METHODS: The methodology employed in this study consisted of field surveys, allometric calculations, and multispectral aerial imagery processing along the coastal of Makassar City, South Sulawesi, within the Lantebung mangrove ecosystem. Field surveys were conducted to determine the species composition of each mangrove stand and measure their diameter at breast height. The allometric formula was then used to calculate mangrove biomass, which was subsequently converted into carbon stock values. Aerial imagery was processed using the normalized difference vegetation index, followed by a regression analysis between normalized difference vegetation index and carbon stock values to obtain a carbon stock estimation model.FINDINGS: The results of the analysis of red-green-blue aerial imagery from the multispectral unmanned aerial vehicle has provided valuable insights into the extent of mangrove vegetation cover in the Lantebung mangrove forest area, revealing it to be 14.18 hectares. The normalized difference vegetation index results indicated that mangrove objects fall within a value range of 0.21–1, categorized into three density classes: high-, medium-, and low-density mangroves. The field surveys confirmed the presence of three types of mangroves in Lantebung Makassar, namely Rhizophora apiculata, Rhizophora mucronata, and Avicennia sp. The regression analysis conducted to assess the relationship between the normalized difference vegetation index value and carbon stocks yielded the equation model carbon stock = 474.61, vegetation Index value + 17.238, with a linear regression value of 0.7945. The carbon stock values for low-density class mangrove areas were predicted to range between 17.24 and 288.64 tons carbon per hectare, medium-density mangroves' carbon stocks to be between 126.04 and 391.14 tons carbon per hectare, and high-density mangrove areas' carbon stocks to range from 258.04 to 491.85 tons carbon per hectare.CONCLUSION: The utilization of drones as a technique for monitoring carbon stocks has offered significant benefits. Drones equipped with multispectral sensors enable the collection of precise and comprehensive data on vegetation and elevation in many ecological systems. The survey and subsequent analysis highlighted the wide variation in the density of mangrove forests in the Lantebung mangrove ecosystem. This study demonstrated a strong correlation between the normalized difference vegetation index extracted using unmanned aerial vehicle and mangrove carbon levels obtained from actual field measurements.
Environmental Science
M. Basyuni; R. Syahbana; A.B. Rangkuti; N.A. Pradisty; A. Susilowati; L.A.M. Siregar; S.S. Al Mustaniroh; A.A. Aznawi; A. Mubaraq; E.R. Ardli; S.H. Larekeng; V. Leopardas; Y. Isowa; T. Kajita
Abstract
BACKGROUND AND OBJECTIVES: Mangrove forests in North Sumatra and Aceh are concentrated on the east coast of Sumatra Island. Mangrove habitats are highly productive, diversified, and ecologically and commercially significant ecosystems. However, they are vulnerable to both anthropogenic and natural hazards. ...
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BACKGROUND AND OBJECTIVES: Mangrove forests in North Sumatra and Aceh are concentrated on the east coast of Sumatra Island. Mangrove habitats are highly productive, diversified, and ecologically and commercially significant ecosystems. However, they are vulnerable to both anthropogenic and natural hazards. The identification of coastal ecosystem species, such as mangrove and coastal forests, is very important in conserving and using the biodiversity of coastal ecosystems, which appears to be hindered by a lack of taxonomic and molecular expertise. This study aimed to address the lack of reference deoxyribonucleic acid barcodes from mangroves in North Sumatra and Aceh and assess the effectiveness of four deoxyribonucleic acid barcoding methods in terms of primer universality, successful identification rate, barcoding gap and species-tree inference, and then phylogenetic tree construction. METHODS: This study focused on selecting the main regions where mangroves are predominantly distributed in the provinces of North Sumatra and Aceh: Percut Sei Tuan and Deli Serdang mangrove areas, Pulau Sembilan and Lubuk Kertang of Langkat mangrove areas in North Sumatra, and Langsa mangrove areas in Aceh. The genomic deoxyribonucleic acid of mangrove plants was isolated from fresh leaf material using the Geneaid genomic deoxyribonucleic acid mini kit. Based on the guidance provided by the International Union for Biological Barcoding with four molecular sequences, deoxyribonucleic acid barcodes were chosen for amplification: chloroplast ribulose 1,5-bisphosphate carboxylase/oxygenase, maturase-K, transfer ribonucleic acid for histidine–photosystem II reaction center protein A, and nuclear genome internal transcribed spacer. The Tamura 3-parameter + Gamma method in molecular evolutionary genetics analysis X software was used to measure and describe the genetic distances between different species and within the same species. The construction of phylogenetic trees was carried out using the molecular evolutionary genetics analysis X from ribulose 1,5-bisphosphate carboxylase/oxygenase, transfer ribonucleic acid for histidine–photosystem II reaction center protein A, Internal transcribed spacer, and maturase-K barcodes based on the bootstrap analysis conducted using 100 permutations.FINDINGS: This study showed that the primers ribulose 1,5-bisphosphate carboxylase/oxygenase, transfer ribonucleic acid for histidine–photosystem II reaction center protein A, internal transcribed spacer, and maturase-K had the highest success rates during amplification, which could be strong barcodes for enhancing taxonomic clarification and gaining insights into phylogenetic relationships. The primers ribulose 1,5-bisphosphate carboxylase/oxygenase, transfer ribonucleic acid for histidine–photosystem II reaction center protein A, internal transcribed spacer, and maturase-K had the highest success rates during amplification. The success rate for the ribulose 1,5-bisphosphate carboxylase/oxygenase gene was the highest (90% percent), followed by (86 percent), transfer ribonucleic acid for histidine–photosystem II react percent ion center protein Ainternal transcribed spacer (75 percent), and maturase-K (57 Percent). The significant differences were as follows: inter- and intraspecific genetic distance (probability (p) <0.001), maturase-K (probability = 0.0001), combination maturase-K + photosystem II reaction center protein A (probability = 0.0008), maturase-K + ribulose 1,5-bisphosphate carboxylase/oxygenase (probability = 0.0008), maturase-K + internal transcribed spacer (probability = 0.0003), ribulose 1,5-bisphosphate carboxylase/oxygenase + internal transcribed spacer (probability = 0.0002), photosystem II reaction center protein A + internal transcribed spacer (probability = 7.051e-05), and three combined markers maturase-K + photosystem II reaction center protein A + internal transcribed spacer (probability = 0.0007). It is noteworthy that the maturase-K barcode could construct the clustering and differentiate the mangrove species based on family and not from sites. The ribulose 1,5-bisphosphate carboxylase/oxygenase barcode showed that members of Rhizophoraceae (Bruguiera parviflora, Rhizophora apiculata, and Rhizophora stylosa), Ptiredeacea (Acrostichum aureum), and Scyphiphora hydrophyllaceae from Rubiaceae existed in one branch.CONCLUSION: This study provided a reference database both molecularly and taxonomically to strengthen biodiversity assessment and monitor mangrove forests. This database can be used to clarify the results of deoxyribonucleic acid barcodes for morphological and biochemical identification in the eastern coast of Sumatra.
