Pak Phanang Research Articles

Enhancing chronic wound healing with Thai indigenous rice variety, Kaab Dum: Exploring ER stress and senescence inhibition in HaCaT keratinocyte cell line.

Kaab Dum, a prominent indigenous rice variety cultivated in the Pak Phanang Basin of Nakhon Si Thammarat, Thailand, is the focus of our study. We investigate the therapeutic potential of indigenous Kaab Dum rice extract in the context of chronic wounds. Our research encompasses an examination of the nutritional compositions and chemical profiles of Kaab Dum rice extract. Additionally, we assess how the extract affects chronic wounds in TGF-β-induced HaCaT cells. Our evaluation methods include the detection of cellular oxidative stress, the examination of endoplasmic reticulum (ER) stress, wound healing assays, analysis of cell cycle arrest and the study of cellular senescence through senescence-associated β-galactosidase (SA-β-gal) staining. Our research findings demonstrate that TGF-β induces oxidative stress in HaCaT cells, which subsequently triggers ER stress, confirmed by the expression of the PERK protein. This ER stress results in cell cycle arrest in HaCaT cells, characterized by an increase in p21 protein, a cyclin-dependent kinase inhibitor (CDKI). Ultimately, this leads to cellular senescence, as confirmed by SA-β-gal staining. Importantly, our study reveals the effectiveness of Kaab Dum rice extract in promoting wound healing in the chronic wound model. The extract reduces ER stress and senescent cells. These beneficial effects are potentially linked to the antioxidant and anti-inflammatory properties of the rice extract. The findings of our study have the potential to make significant contributions to the development of enhanced products for both the prevention and treatment of chronic wounds.

Development of an IoT-Based Smart Watering System for Monitoring and Increasing Soil Moisture Content in “Tabtim Siam” Pomelo Garden in Pak Phanang District, Nakhon Si Thammarat Province, Southern Thailand

Abstract In Thailand, “Tabtim Siam” pomelo production is essential for domestic consumption and export. Among several environmental factors, soil moisture is the most important factor for citrus plants’ growth and their fruit quality. During the main developmental stages of these plants, the required soil moisture should be above 70% (no water deficit). Therefore, keeping soil moisture at ≥70% in pomelo orchards is crucial. This study developed an IoT-based smart watering system that efficiently monitors soil moisture and assists in maintaining soil moisture at the required level even at a high temperature inside a pomelo orchard in Pak Phanang District, Nakhon Si Thammarat Province, Southern Thailand.

Random forest model for forecasting vegetable prices: a case study in Nakhon Si Thammarat Province, Thailand

<span lang="EN-US">The objectives of this research were developing a model for forecasting vegetable prices in Nakhon Si Thammarat Province using random forest and comparing the forecast results of different crops. The information used in this paper were monthly climate data and average monthly vegetable prices collected between 2011 – 2020 from Nakhon Si Thammarat meteorological station and Nakhon Si Thammarat Provincial Commercial Office, respectively. We evaluated model performance based on mean absolute percentage error (MAPE), root mean squared error (RMSE), and mean absolute error (MAE). The experimental results showed that the random forest model was able to predict the prices of vegetables, including pumpkin, eggplant, and lentils with high accuracy with MAPE values of 0.09, 0.07, and 0.15, with RMSE values of 1.82, 1.46, and 2.33, and with MAE values of 3.32, 2.15, and 5.42, respectively. The forecast model derived from this research can be beneficial for vegetable planting planning in the Pak Phanang River Basin of Nakhon Si Thammarat Province, Thailand.</span>

Diversity of freshwater fish at Sago Palm Wetlands, Nakhon Si Thammarat Province, Thailand

Abstract. Suriya C, Satian C, Visut B, Supadha K. 2022. Diversity of freshwater fish at Sago Palm Wetlands, Nakhon Si Thammarat Province, Thailand. Biodiversitas 23: 6335-6344. Studies on the diversity of freshwater fish at Sago Palm Wetlands, Nakhon Si Thammarat Province, Thailand, were conducted in the period from March 2020 to November 2020. Fish samples were collected, encompassing the hot-dry season (March to June) and the rainy season (September to November) at 4 sampling zones, with 5 stations for each zone. Fish were caught using a seine net of 1 cm mesh size, 1.5m in length, and 1m in width. All data were analyzed to find out the fish diversity indices. The multivariate method was used to determine cluster analysis. A total of 3634 fish specimens, representing 62 species belonging to 24 families, were recorded during the sampling period. Cyprinidae was the major family, with Trichopsis vittatus containing the highest index of relative importance (IRI). The species diversity index of fish was in the range of 0.66 to 2.67; the evenness index was in the range of 0.64 to 0.95, and the species richness index ranged from 0.36 to 6.86, indicating an intermediate-low uniformity, with a medium species number in the area. The cluster analysis of the Bray-Curtis similarity index shows A division of the fish community into 2 clusters in the hot-dry season and 3 clusters in the rainy season, having a similarity percentage ranging between 42% and 95%, respectively. Also documented were one introduced species and one endangered fish species during sampling. The findings suggest that Sago Palm Wetlands is still inhabited by numerous fish species and should be conserved to ensure its aquatic animal richness for the future. This data provides information about the fish habitat in the Sago Palm Wetlands and can be used to update the checklists of fish species in the Tapi River, the Pak Phanang River, and the Trang River Basins. It also can be useful for the planning of fishing activities and the provision of guidelines for future research and conservation purposes.

Landscape change trends and their impacts on coastal tourism resources in the future: a case study from pak Phanang, Thailand.

This study aims to investigate the impacts of landscape change on natural tourism resources in coastal areas of Pak Phanang and to estimate future landscape changes. Data on tourism resources, land covers and coastline modification were collected on a random basis and combined with in-depth interviews of key informants. Data analysis seeking to demonstrate future coastline modification and projections interpreted satellite imagery using the hybrid approach to generate periodic coastal maps and the Dinamica EGO program to analyze future change rates of the coastline and landscape change. The results found that during 2021-2036, the areas of rice/vegetable farms, mudflats, beaches,and beach forests are likely to increase. The impacts on tourism resources can be negative or positive. The negative impacts arising from such changes include the decrease in the number of beaches in the southeast area and the increase in mudflats in Pak Phanang. The positive impacts include the beaches and beach forests in the northeast area increasing. These results can equip governments, communities and tourists with knowledge on the changes in landscape and tourism areas to prepare and adjust for such changes in the future.

THE EVALUATION OF THE AEDES ALBOPICTUS ENTOMOLOGICAL INDEX BASED ON THE TOPOGRAPHY TO COMPUTE THE ESSENTIAL REQUIREMENTS FOR DENGUE TRANSMISSION SURVEILLANCE IN NAKHON SI THAMMARAT, THAILAND

An entomological index is widely used for determining dengue transmission and mosquito populations. In this study, we determined the association between Aedes albopictus mosquito counts in three areas with different topographical features from six districts in Nakhon Si Thammarat and infected patients reported by the Ministry of Public Health’s Department of Disease Control, using entomological indices, such as the sticky pad index and the sweep net index. The sampling region was selected from the top six districts of the province based on the number of reported dengue cases per 100,000 people. The regions were Khanom, Mueang, Pak Phanang, Phrom Khiri, Thung Song, and Thung Yai. They were divided into three categories of geographical features, including city, beach, and mountain. The mosquitos were collected by walking in a star form inside a 5 m diameter circle. The mosquitoes were separated into groups based on their species, and the percentile of the index was computed. We found that the number of mosquitoes was the highest in Pak Phanang and lowest in Khanom. The two indices and the number of A. albopictus collected from the six sampling locations were not significantly different (t = 1.31, p > 0.05). The coastline region had the highest number of mosquitoes and was substantially different from the other two regions (cosmopolitan and mountain) (F = 4.30; p < 0.05). By performing Pearson’s correlation analysis, we found a negative correlation between dengue cases and the entomological index (r = –0.472; N = 36). Similarly, the number of patients showed a negative correlation with relative humidity (r = –0.355) but a positive correlation with temperature (r = 0.064). The epidemic pattern shifted throughout the year, and the number of cases then increased 2–4 weeks after the insect was found.

Water Yield Alteration in Thailand’s Pak Phanang Basin Due to Impacts of Climate and Land-Use Changes

Climate and land-use change are important factors in the hydrological process. Climatic and anthropic changes have played a crucial role in surface runoff changes. The objective of this research was to apply land-use change and future climate change to predict runoff change in the Pak Phanang River Basin. The Cellular Automata (CA)-Markov model was used to predict the land-use change, while the climate data from 2025 to 2085 under RPC2.6, RPC4.5, and RPC8.5 were generated using the MarkSim model. Additionally, the Soil and Water Assessment Tool (SWAT) combined land-use change and the generated meteorological data to predict the runoff change in the study area. The results showed that the annual runoff in the area would increase in the upcoming year, which would affect the production of field crops in the lowland area. Therefore, a good water drainage system is required for the coming years. Since the runoff would be about 50% reduced in the middle and late 21st century, an agroforestry system is also suggested for water capturing and reducing soil evaporation. Moreover, the runoff change’s overall impact was related to GHG emissions. This finding will be useful for the authorities to determine policies and plans for climate change adaptation in the Malay Peninsula.

Radar-Based Rainfall Estimation of Landfalling Tropical Storm “PABUK” 2019 over Southern Thailand

Tropical storm PABUK developed from tropical depression first defined on 31 December 2018 in the lower South China Sea. It made landfall in Pak Phanang, Nakhon Si Thammarat province, southern Thailand. PABUK caused heavy rain and flash floods from 3 to 5 January 2019 (D1, D2, and D3) where the total rainfall reached 150–300 mm across 14 provinces of southern Thailand. This paper is aimed to investigate rainstorm properties and rainfall estimation of tropical storm PABUK with weather radar in southern Thailand. The radar data analysis in this study was to extract the radar reflectivity to study rainstorm properties of PABUK over 3 days along southern Thailand derived from the Thunderstorm Identification and Tracking Analysis and Nowcasting (TITAN) algorithm including 5 variables of duration, area, cloud-based height, maximum reflectivity, and speed in the data set. Based on the properties and frequency distribution of 2,557 rainstorms in D1, D2, and D3, rainstorms in D2 and D3 when PABUK made landfall over southern Thailand show a longer lifetime, higher reflectivity, and larger rain-cells as well as it was found efficient in terms of rainfall amount than in D1. In addition, the estimated rainfall using weather radar provides important information of the rainfall distribution for the analysis of the rainstorm as well. These analyses provide a context for interpreting the feasible rainfall estimates based on Z-R relationship during tropical storm PABUK that produced extreme floods in southern Thailand. A Z-R relationship in the form Z = 104R1.5 provided acceptable statistical indicators, making it appropriate for radar estimated rainfall in case studies presented of tropical storm PABUK in southern Thailand. However, the result of this study should be improved to estimate precipitation in case of extremely heavy rainfall in tropical storm occurrence by using radar of southern Thailand and applied for applications of early warning systems.

Synthesis and Antibacterial Efficacy of Nipa Palm Vinegar-Graphene Quantum Dots against Staphylococcus aureus and Escherichia coli

Nipa palm vinegar (NPV) is an essential product from the Pak Phanang district in the Nakhon Si Thammarat Province, Thailand. NPV is used for cooking and its antibacterial activity reduces dependency on toxic chemicals such as antibiotics and preservative foods. Using NPV as the precursor, nipa palm vinegar–graphene quantum dots (NPV-GQDs) were successfully synthesized through pyrolysis. Preliminary screening of the antibacterial activities of NPV and NPV-GQDs against Gram-positive (Staphylococcus aureus) and Gram-negative (Escherichia coli) bacterial strains were determined by using the agar well diffusion method. The broth macro-dilution method determined the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC). The diameter of the inhibition zones of S. aureus and E. coli reached 29.30 mm and 23.50 mm, respectively. The MIC of NPV-GQDs against S. aureus and E. coli was 6.25 mg/mL and 12.50 mg/mL, respectively, whereas the MBC of NPV-GQDs against S. aureus and E. coli was 50.00 mg/mL. These results signify the potential healthcare application of NPV-GQDs as high-quality and valuable antimicrobial agents, thereby reducing chemical usage toxic to the body in the future.

Association between climate variables and dengue incidence in Nakhon Si Thammarat Province, Thailand.

The tropical climate of Thailand encourages very high mosquito densities in certain areas and is ideal for dengue transmission, especially in the southern region where the province Nakhon Si Thammarat is located. It has the longest dengue fever transmission duration that is affected by some important climate predictors, such as rainfall, number of rainy days, temperature and humidity. We aimed to explore the relationship between weather variables and dengue and to analyse transmission hotspots and coldspots at the district-level. Poisson probability distribution of the generalized linear model (GLM) was used to examine the association between the monthly weather variable data and the reported number of dengue cases from January 2002 to December 2018 and geographic information system (GIS) for dengue hotspot analysis. Results showed a significant association between the environmental variables and dengue incidence when comparing the seasons. Temperature, sea-level pressure and wind speed had the highest coefficients, i.e. β=0.17, β= -0.12 and β= -0.11 (P<0.001), respectively. The risk of dengue incidence occurring during the rainy season was almost twice as high as that during monsoon. Statistically significant spatial clusters of dengue cases were observed all through the province in different years. Nabon was identified as a hotspot, while Pak Phanang was a coldspot for dengue fever incidence, explained by the fact that the former is a rubber-plantation hub, while the agricultural plains of the latter lend themselves to the practice of pisciculture combined with rice farming. This information is imminently important for planning apt sustainable control measures for dengue epidemics.

Nutritional composition and bioactivity of germinated Thai indigenous rice extracts: A feasibility study.

The feasibility of the production of germinated rice extracts using indigenous rice from Southern Thailand, including Khemtong (KHT) and Khai Mod Rin (KMR) from a single location at the Pak Phanang River Basin in Nakhon Si Thammarat, was investigated. The nutritional composition and bioactivity of the germinated rice extracts from both cultivars were evaluated. Optimum germination time for both rices was 96 h, leading to the highest GABA, thiamine, free amino acid, total sugar, and α-amylase activity (p<0.05). Germinated KHT had a higher α-amylase activity than germinated KMR at all germination times. Mashing at 60°C/pH 5.5 rendered the extract with the highest GABA content (p<0.05) and desirable contents of other nutrients. In comparison with germinated Sungyod (local colored rice) and Jasmine (commercial Thai rice) extracts, KHT and KMR showed a higher scavenging activity against DPPH•, OH•, and H2O2 (p<0.05) with a comparable ABTS•+ inhibition. For metal chelation, reducing power and ACE inhibitory activity, the germinated Sungyod extract was greater than KHT/KMR. The results demonstrated the potential use of germinated local Thai rice for the production of functional beverages.

Daily Wind Speed Forecast Model at an Altitude of 120 Meters, Pak Phanang District, Nakhon Si Thammarat Province

Daily Wind Speed Forecast Model at an Altitude of 120 Meters, Pak Phanang District, Nakhon Si Thammarat Province

Development web and mobile application and open data platform for water quality management in Pak Phanang river basin

This paper aims to develop web and mobile application and open data platform to facilitate the community researchers use for monitoring the water quality management in Thailand. The paper developed a mobile and web application to collect and represent WQI data. Besides that, this paper elaborated the open data platform for sharing the WQI data to the other public sectors with two formats are people-readable format and machine-readable format. The population of this research is the community researchers who live in the Pakpanang river basin, including in local authorities, volunteers, and academic researchers. This paper also pays attention to the third parties are living in the outside area, which uses the WQI data. The experiment found that the overall user satisfaction whos participate in this project is in a good rank. The top three ranks of the function usage are: the first rank is a monthly report of the WQI data function. The second rank is a sending the WQI data by the volunteer function, and a calculating the WQI data by the academic researcher function. Finally, The third rank is open data usage function. Also, the measurement station increased from twenty to twenty-two stations. The volunteers expanded from the local authorities, volunteers, and academic researchers to students and teachers. For the future, this paper tries to apply a minimisation method for optimising The WQI parameters and also classify the proper parameters for each measurement station.

Mono-Economy and Urban Vulnerability: A Case Study of Pak Phanang Municipality in Nakhon Si Thammarat Province

This paper examines the relationship between mono-economic growth and urban sensitivity. The selected case study is the Pak Phanang Municipality of Nakhon Si Thammarat Province, which has a mono-economy of bird’s-nest businesses as its main economic base. The research methodology was divided into three parts. Part 1 includes the study of changing urban morphology caused by the growth of the mono-economy and the evaluation of urban decline from decentralization according to the theory of spatial centrality. Part 2 studies the distribution patterns of spatial and social sensitivity, using quantitative research and an indicator-based approach from the Social Vulnerability Index. Part 3 determines the relationship between economic, social, and spatial sensitivities together with the concentration of the mono-economy by applying an overlay technique. The study indicated that the growth of the mono-economy from bird’s nest businesses in the city center caused urban decline due to two significant factors: (1) Changing urban morphology — the city was not able to attract employment and various economic activities, which accelerated the migration of the population; (2) Changes in the socio-economic structure of the city center — as seen in the socio-economic sensitivity index — it was found that the city center had a high concentration of bird’s nest businesses which was greater than other urban areas. Therefore, the results determine that the growth of the mono-economy was the root cause of urban decline and an increased urban sensitivity. One potential suggestion is to strengthen the economic base of the city and create a variety of urban conditions to solve the root problems and help decrease urban vulnerability.

APPLICATIONS OF SENTINEL-1 SYNTHETIC APERTURE RADAR IMAGERY FOR FLOODS DAMAGE ASSESSMENT: A CASE STUDY OF NAKHON SI THAMMARAT, THAILAND

Abstract. Flooding is one of the major disasters occurring in various parts of the world. Estimation of economic loss due to flood often becomes necessary for flood damage mitigation. This present practice to carry out post flood survey to estimate damage, which is a laborious and time-consuming task. This paper presents a framework of rapid estimation of flood damage using SAR earth observation satellite data.In Nakhon Si Thammarat, a southern province in Thailand, flooding is a recurrent event affecting the entire province, especially the urban area. Every year, it causes lives and damages to infrastructure, agricultural production and severely affects local economic development. In order to monitor and estimate flood damages in near-real time, numerous techniques can be used, from a simply digitizing on maps, to using detailed surveys or remote sensing techniques. However, when using the last-mentioned technique, the results are conditioned by the time of data acquisition (day or night) as well as by weather conditions. Although, these impediments can be surpassed by using RADAR satellite imagery. The aim of this study is to delineate the land surface of Chian Yai, Pak Phanang and Hua Sai districts of that was affected by floods in December 2018 and January 2019. For this case study, Sentinel-1 C-Band SAR data provided by ESA (European Space Agency) were used. The data sets were taken before and after the flood took place, all within 1 days and were processed using Sentinel Toolbox. Cropland mapping has been carried out to assess the agricultural loss in study area using Sentinel-1 SAR data. The thematic accuracy has been assessed for cropland classification for test site shows encouraging overall accuracy as 82.63 % and kappa coefficients (κ) as 0.78.

Decision Support for Complicated Irrigation System: A Case Study of Lower Pak Phanang River Basin

Decision support for complicated irrigation system is presented in this article. The optimization mathematical model was developed mainly based on water balance concept for both command areas and coupled river and canal delivery system to suitably determine planted area for each plant species under constraints of available water supplies and limited areas to meet the maximization of economic value for the lower Pak Phanang river basin, Southern Thailand. Due to very complex problem-solving type with many decision variables of 410 and constraints of 861, an open source Excel add-in, widely known as Open Solver, was applied to solve nonlinear mixed-integer problems. The developed model was calibrated by comparison of the required inflow quantities to satisfy the calculated agricultural water demand in the study and the observed runoff quantities at X.105 runoff station, upstream of study area, during dry season (Jan to Apr). Land use data in 2012 obtained from the Land Development Department of Thailand (LDD) was interpreted to determine agricultural water demand. It was found that there was satisfying agreement between both considered values with agricultural water requirement quantities of 21.54 MCM and observed runoff quantities of 20.98 MCM. We hence applied the developed model with 8 scenarios for guidance for irrigation management in the study area.

Effects of climate change on agriculture water demand in lower Pak Phanang river basin, southern part of Thailand

The aim of the research is to analyse the effects on agricultural water demand in the Lower Pak Phanang River Basin area due to climate change. The climate data used in the analysis were rainfall, maximum, minimum, and average temperatures. The climate datasets were obtained from statistical downscaling of global circulation model under the CMIP5 project by means of bias correction with Optimizing Quantile Mapping implemented by the Hydro and Agro Informatics Institute. To determine agriculture water demand, reference evapotranspiration (ETo) based on Hargreaves method was calculated for both baseline climate data (1987-2015) and forecasted climate data in 2038. For agriculture water demand in the Pak Phanang river basin, we considered paddy field, palm oil, rubber, grapefruit, orchard, vegetable, ruzy and biennial crop, based on land use data of the Land Development Department of Thailand in 2012. The results showed that forecasted agriculture water demand in 2038 with existing land use data in 2012 will be increased with the average of 18.9% or 61.78 MCM as compared to baseline climate condition. Both water demand and supply management measures would be suitably prepared before facing unexpected situation.

Wind Turbine and Local Acceptance in Southern Thailand

Wind power has been promoted as a clean energy. However, debate is ongoing with local residents who are not informed about what is occurring in their areas. Local acceptance for wind turbine installations was studied by means of a listening investigation with 729 participants in two districts (Hua Sai and Pak Phanang) in Nakhon Si Thammarat Province, Southern Thailand. The aim of the research was to evaluate the public attitude and its acceptance for wind farms. The studies at Pak Phanang showed that most participants (68.5%) did not know about the project details. However, most participants who lived in Hua Sai (84.1%) knew about the project. According to the informants, 91.5% of the residents in Hua Sai agreed to implementation of the construction, while in Pak Phanang only 45.6% of the residents were in agreement. The construction phase and operation of the wind turbine can have an impact on the environment. Our study revealed that the participants who were concerned about noise pollution were 65.5% and 66.7% in Hua Sai and Pak Phanang, respectively. Future research should be employed to investigate the social impact in both negative and positive ways. The potential harm to the local community particularly on noise and visual impact needs to be identified. The main lesson learnt from this study was that local acceptance is important for project development, particularly in Thailand where capitalism and Thai culture play a key role for project implementation.

Sustainability Indicators for Assessing and Monitoring the Sustainable Land Management in the Commercial Rice Zone of the Lower Pak Phanang River Basin, Thailand

The main land use in the lower Pak Phanang river basin is intensive paddy production. It is also promoted as a commercial rice farming zone by the Royal Project. The objective of this study, hence, was to identify the appropriate sustainability indicators for assessing and monitoring this area under the ASEAN community. This evaluation comprised of the diagnosis of problems, the analysis of stakeholders and the description of Land Utilization Types (LUTs). This lead to the diagnostic criteria weighting, indicators of development and sustainability by the participatory approaches. The data were collected through literature reviews, structure-questionnaire, focus group discussion with local stakeholders and individual interviews using the techniques of Participatory Rapid Appraisal and conceptual content analysis. This resulted in the diagnostic criteria following the framework for evaluating sustainable land management, which are productivity, security, protection, viability, and acceptability. There are a number of indicators with 22 items. The sustainability indicators in this study can be applied and evaluated in intensive paddy production areas which may lead to a strategy plan and greater sustainability in the future.

Factors Affecting Fishers' Perceptions of Benefits, Threats, and State, and Participation in Mangrove Management in Pak Phanang Bay, Thailand

Jumnongsong, S.; Gallardo, W.G.; Ikejima, K., and Cochard, R., 2015. Factors affecting fishers' perceptions of benefits, threats, and state, and participation in mangrove management in Pak Phanang Bay, Thailand.Mangrove ecosystems provide a variety of services to people living on the coasts, in particular fishers whose livelihoods depend on healthy stocks of fish and other marine products. Fishers' participation and their understanding about mangroves are vital in mangrove management. This research was conducted to identify the factors contributing to the fishers' perceptions of the mangrove resources and their participation in mangrove management. In this study, mangroves in Pak Phanang Bay in Thailand were assessed in terms of state (diversity, structure, and regeneration) using the point-centered quarter method and fishers' perceptions of mangrove benefits, threats, and state, and their participation in management was investigated using a questionnaire. Ordinal logistic regression revealed that fishers' perceptions of mangrove benefits, threats, and state differed by residence location. Mangrove-related training affected perceptions of benefit and state, and participation in mangrove management, whereas local group membership affected perceptions of threat. Monthly income was identified as an important factor for participation. The perception of benefit is more important for participation in mangrove management compared with the perception of threat and mangrove state. There were some inconsistencies between the perceptions of mangrove state and the field study results; thus, it is recommended that a program that adopts a participatory approach including mangrove monitoring by the villagers could improve perceptions and understanding of mangrove state. Information on the actual state of mangroves and knowledge, particularly on mangrove ecosystem services, should be disseminated to the community via mangrove-related training and local group activities to enhance participation in mangrove management.