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Mangroves play a vital role in the environment and contribute signific aptly to the well-being of coastal communities by providing goods and services. Unfortunately, the degradation and deforestation of mangroves has frequently occurred. Therefore, it is important to understand the vulnerability of mangroves and its impact on blue carbon storage for effective mangrove management and coastal planning. This study aims to assess the vulnerability of mangroves and its effect on blue carbon storage in the coral triangle region of Southeast Sulawesi, Indonesia. The vulnerability assessment included factors such as exposure, sensitivity, and adaptive capacity. Blue carbon storage was evaluated based on carbon stock in sediment, biomass, and total carbon stock in mangrove ecosystems in both protected and unprotected areas. The mangrove ecosystem in the protected area of Rawa Aopa Watumohai National (RAWN) Park showed lower vulnerability due to lower exposure, lower sensitivity, and higher adaptive capacity. On the other hand, mangrove ecosystems in unprotected areas such as Tinanggea (TNG), Kendari Bay (KDI), and Staring Bay (STR) exhibited moderate to high vulnerability due to higher exposure, sensitivity, and lower adaptive capacity. Mangroves in RAWN Park, which were less vulnerable, had higher blue carbon storage in sediment (381.64 tons C/ha), biomass (312.65 tons C/ha), and the entire ecosystem (706.76 tons C/ha). These values were significantly higher (p<0.05) compared to those in TNG (306.66 tons, 144.15 tons, and 448.37 tons C/ha, respectively), KDI (262.08 tons, 227.73 tons, and 470.76 tons C/ha, respectively), and STR (169.44 tons, 66.66 tons, and 253.27 tons C/ha, respectively). The high vulnerability of mangrove ecosystems resulted in reduced carbon storage in the coastal regions of Southeast Sulawesi. Therefore, efforts such as rehabilitation and restoration, legislation, and conservation should be prioritized to enhance blue carbon storage, and other ecosystem services provided by mangroves in the coral triangle region of Southeast Sulawesi. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: Mangroves have high potential for advancing ecotourism because of their position at the intersection of land and sea. Many studies have reported that mangroves and coastal environments are the right places for the development of sustainable ecotourism. The aim of this study is to assess the tourism prospects of significant mangrove ecosystems in Sumatra, Indonesia, and to identify suitable approaches for fostering ecotourism. METHODS: The research was conducted in Beras Basah Village, located in the Pangkalan Susu District of Langkat Regency, North Sumatra, Indonesia. It commenced in November 2023 with the initiation of the Beras Basah ecotourism project and concluded in January 2024. The research commenced by introducing the ecotourism landscape through the utilization of a geographic information system. Subsequently, questionnaires and discussion group forums were employed to analyze the community, visitors, and relevant stakeholders. Furthermore, an assessment of the potential mangrove ecosystem was conducted, encompassing transects, ecological suitability, and carrying capacity. Lastly, a comprehensive analysis of the research findings was performed, focusing on the strengths, weaknesses, opportunities, and threats associated with the study. FINDINGS: The potential area for ecotourism covers 38 hectares with various well-designed facilities and infrastructures. The mangroves were utilized as a source of sustenance with the overall condition of community. This study obtained 8 species of mangroves consisting of Rhizophora apiculata, Rhizophora mucronata, Rhizophora stylosa, Sonneratia alba, Avicennia marina, Bruguiera gymnorrhiza, Xylocarpus granatum, and Scyphiphora hydrophyllacea. The species of fauna observed were two species of birds (Haliaetus leucogaster, Bubulcus ibis), three species of reptiles (Varanus salvator, Fordonia leucobalia, Mabouia multifasciata), three types of mammals (Macaca fascicularis, Tupaia glis, Martes flavigula), seven types of fish (Plotosus canius, Epinephelus lanceolatus, Ophiocara porocephala, Lutjanus argentimaculatus, Lates calcarifer, Scatophagus argus, Mugil cephalus), five types of mollusks (Cerithidea cingulata, Telescopium telescopium, Cerithidea quadrata, Murex trapa, Polymesoda bengalensis), and four types of crustaceans (Scylla serrata, Metapograpsus sp., Panaeus monodon, Panaeus merguensis). The two studied stations exhibited varying levels of ecological suitability. One approach to protection is the enforcement of a visitor quota based on the carrying capacity of the areas, was 86 individuals per day. Furthermore, the analysis of strengths, weaknesses, opportunities, and threats revealed that the improvement of mangrove ecosystem management, the addition of supporting facilities, and the provision of environmental and conservation education to tourists can contribute to the enhancement of ecotourism. CONCLUSION: Ecotourism plays a crucial role in preserving the sustainability of the mangrove ecosystem while also influencing socio-economic factors. Through study and analysis of both human behavior and natural processes, effective management strategies can be developed to support ecotourism initiatives. The findings of this study highlight the significance of ecotourism and emphasize the importance of expanding ecotourism initiatives, enhancing infrastructure, and promoting environmental awareness. [ABSTRACT FROM AUTHOR]

Endophytic fungi are considered an eco-friendly and bio-safe alternative to increase agricultural productivity. The study objectives were to isolate and identify endophytic fungi from the roots of Rhizophora racemosa and to assess their effect on the growth of Cucurbita maxima plants. Molecular identification of the endophytic fungal isolates revealed five fungal species: Aspergillus aculeatus, Aspergillus fumigatus, Fusarium equiseti, Penicillium citrinum, and Talaromyces albobiverticillius. A. aculeatus induced the best improvement rate of plant development with an increase of shoot length (159 %), petiole length (171%), internode length (155%), leaf number (133%) and leaf area (149%) at 84 days after the fungal treatment. This research highlights the importance of A. aculeatus, which can be an eco-friendly bio-fertilizer that can enhance the production of Cucurbita maxima and improve the agricultural sector. To confirm its effectiveness, experiments must be conducted in fields and greenhouses. [ABSTRACT FROM AUTHOR]

Fiddler crabs have been used as model organisms in many laboratory and field studies. In their natural environment, social interaction with other fiddler crabs (conspecific or heterospecific) is recurrent, but manipulative studies involving these crabs as models are often performed with isolated individuals. The isolation of an animal can interfere in the behaviors recorded as response variables. Thus, the aim of this study was to evaluate whether the presence of other individuals affects the performance of behaviors of fiddler crabs Leptuca uruguayensis. We tested two hypotheses in the field: (1) the visual stimulus of the crab assemblage affects the activity of male fiddler crabs; and (2) the presence of other conspecific affects the activity of male fiddler crabs depending on the sexes of the individuals present. We found the activities of L. uruguayensis males mediated by social interactions does not depend exclusively on visual stimuli. Physical interaction with other conspecifics of both sexes enables the perception of stimuli which can influence the waving behavior of L. uruguayensis males. We suggest that behavioral studies with this model should consider the presence of other individuals. Understanding the behavioral complexity of a model organism contributes to more robust experiments with greater control of interfering variables. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: Mangroves have high potential for advancing ecotourism because of their position at the intersection of land and sea. Many studies have reported that mangroves and coastal environments are the right places for the development of sustainable ecotourism. Ecotourism aims to preserve natural environments, playing a crucial role in conservation efforts and serving as a unique type of tourism experience. The aim of this study is to assess the tourism prospects of significant mangrove ecosystems in Sumatra, Indonesia, and to identify suitable approaches for fostering ecotourism. The implementation of ecotourism can serve as a means to safeguard the ecosystem while also influencing the socio-economic conditions of the local community.METHODS: The research was conducted in Beras Basah Village, located in the Pangkalan Susu District of Langkat Regency, North Sumatra, Indonesia. It commenced in November 2023 with the initiation of the Beras Basah ecotourism project and concluded in January 2024. The research commenced by introducing the ecotourism landscape through the utilization of a geographic information system. Subsequently, questionnaires and discussion group forums were employed to analyze the community, visitors, and relevant stakeholders. Furthermore, an assessment of the potential mangrove ecosystem was conducted, encompassing transects, ecological suitability, and carrying capacity. Lastly, a comprehensive analysis of the research findings was performed, focusing on the strengths, weaknesses, opportunities, and threats associated with the study.FINDINGS: The potential area for ecotourism covers ​​38 hectares with various well-designed facilities and infrastructures. The mangroves were utilized as a source of sustenance with the overall condition of community. This study obtained 8 species of mangroves consisting of Rhizophora apiculata, Rhizophora mucronata, Rhizophora stylosa, Sonneratia alba, Avicennia marina, Bruguiera gymnorrhiza, Xylocarpus granatum, and Scyphiphora hydrophyllacea. The species of fauna observed were two species of birds (Haliaetus leucogaster, Bubulcus ibis), three species of reptiles (Varanus salvator, Fordonia leucobalia, Mabouia multifasciata), three types of mammals (Macaca fascicularis, Tupaia glis, Martes flavigula), seven types of fish (Plotosus canius, Epinephelus lanceolatus, Ophiocara porocephala, Lutjanus argentimaculatus, Lates calcarifer, Scatophagus argus, Mugil cephalus), five types of mollusks (Cerithidea cingulata, Telescopium telescopium, Cerithidea quadrata, Murex trapa, Polymesoda bengalensis), and four types of crustaceans (Scylla serrata, Metapograpsus sp., Panaeus monodon, Panaeus merguensis). The two studied stations exhibited varying levels of ecological suitability. One approach to protection is the enforcement of a visitor quota based on the carrying capacity of the areas, was 86 individuals per day. Furthermore, the analysis of strengths, weaknesses, opportunities, and threats revealed that the improvement of mangrove ecosystem management, the addition of supporting facilities, and the provision of environmental and conservation education to tourists can contribute to the enhancement of ecotourism.CONCLUSION: Ecotourism plays a crucial role in preserving the sustainability of the mangrove ecosystem while also influencing socio-economic factors. Through thorough study and analysis of both human behavior and natural processes, effective management strategies can be developed to support ecotourism initiatives. This investigation has the potential to support the preservation of the mangrove ecosystem in Beras Basah District through the introduction of landscape management strategies for the advancement of ecotourism. The findings of this study highlight the significance of ecotourism and emphasize the importance of expanding ecotourism initiatives, enhancing infrastructure, and promoting environmental awareness.

Sundarban mangrove ecosystem, the largest mangrove ecosystem in the world consists of freshwater swamp forests forming one of the world's largest coastal wetlands. Named after the dominant mangrove tree species, Heritiera fomes, known as ‘sundari’ in Bengal, it forms a bio-shield protecting the densely populated coastal areas of India and Bangladesh from the severe impact of tropical cyclones like Amphan, Yaas, Remal and others. The mangroves store ‘blue carbon’ and thus play a crucial role in carbon sequestration. Protection, conservation and restoration of this unique coastal mangrove ecosystem may go a long way in combating and mitigating the effects of climate change.

Mangrove ecosystems are essential to coastal environments, providing a wide range of ecological functions. The current study intended to analyse diversity and distribution of beneficial microbial communities, including plant growth promoting rhizobacteria (PGPR) and arbuscular mycorrhizal (AM) fungi, associated with selected mangrove tree species in Kerala, India. Rhizosphere soil samples associated with the mangroves were found to be rich in AM fungal spores with the maximum of 420 spores/100 g of soil in Avicennia with the predominance of acaulospora species reflecting the influence of the acidic and nutrient-poor edaphic conditions. Additionally, the study characterized the isolated rhizosphere soil bacteria for biochemical characterization, primary screening for their antagonistic potentials against plant pathogens and secondary screening for PGPR characteristics. Biochemical characterization of the PGPR was carried out using various enzymatic and metabolic assays. The antagonistic potential of the PGPR was assessed against three plant pathogens, the isolate M. actin2 prominently inhibited 45% growth of F. oxysporium. The plant growth-promoting traits, such as IAA production, phosphate solubilization and nitrogen fixation, were recorded. The nursery experiment showed a maximum increment of 50% wet weight, 42% of dry weight, 72% of root length, 12% shoot length in treatment groups corresponding to control. The potential isolate M. actin2 was also identified using 16S rRNA gene sequencing and deposited in NCBI (MK660716). This study provides valuable insights into the diversity status of microbes in the mangrove soil of Kerala, emphasizing their potential significance in ecological processes and biotechnological applications. [ABSTRACT FROM AUTHOR]

Mangrove forests, apart from their carbon sequestration and coastal protection benefits, provide a wide range of ecosystem services to people in tropical developing countries. Local people living in and around forests in the developing tropics also depend heavily on these mangrove ecosystem services for their livelihoods. This study examines the impact of mangrove ecosystem services on the livelihoods of people in Indian part of the Sundarbans—the largest contagious mangrove forest on earth. To achieve this objective, a household survey was undertaken to gather data on the diverse range of provisioning and regulating ES local people derived from mangrove forests living near the Indian Sundarbans. Surveys were carried out in nine villages across the Kultali, Basanti, and Gosaba blocks, involving over one hundred respondents. Our study reveals the active participation of locals in gathering various ecosystem services, with fishing and crab collection being the most common in the area. Due to numerous challenges in the agricultural sector, such as soil salinity and frequent extreme weather events, people increasingly depend on non-farming incomes, particularly fishing. A questionnaire was used to assess the dependence of local people on different ecosystem services. Some villages, such as Amlamethi, Satyanarayanpur, Mathurakhand, Vivekananda Palli, and Second Scheme, demonstrated a higher reliance on forest ecosystem services compared to other villages. The study indicates that the contribution of ecosystem services sometimes surpasses traditional activities like farming and daily contractual work. River transportation emerged as the most crucial service, followed by freshwater, food, and fiber. While certain resources like fuel, natural medicine, and genetic resources may not be prioritized, they still hold significance within the community, contrasting with ornamental resources, which are considered the least important. Our findings underscore the importance of preserving natural services in the Sundarbans forest, highlighting the need to conserve the mangrove ecosystem services to ensure the long-term well-being of local communities. [ABSTRACT FROM AUTHOR]

The sedimentary total organic carbon (TOC) in mangrove ecosystems plays an essential role in the global carbon storage. Nevertheless, little information is available about the pattern of TOC in sediments varying from bare and flat to those beneath mangroves. To find out the roles of new-developing mangroves in sedimentary TOC accumulation, a serials of sediment samples were collected from the creek mudflat zone (CMZ) through the fringe mangrove zone (FMZ) to the interior mangrove zone (IMZ) in young mangrove system of Nanliu River Delta in China. Sediment compositions, TOC, total nitrogen (TN), molar C/N ratios, and carbon stable isotopes (δ13C) were analyzed to examine the accumulation processes. The results revealed the distinct differences in the sedimentary TOC values, with an obvious increasing trend from the CMZ and FMZ to the IMZ. We quantified that terrestrials, marine-derived and mangrove-derived sources contributed 39.2-74.1%, 24.7-63.1% and 0.9-6.9%, respectively, to the sedimentary TOC in the mangrove ecosystems. The organic carbon accumulation rates ranged from 2.59 to 269.60 g•m-2•a-1, with values of 8.77 ± 19.87, 24.78 ± 12.53, 167.19 ± 57.79 g•m-2•a-1 for CMZ, FMZ and IMZ. Our work highlights information showing that young mangrove forests of the tropical delta have important potential for carbon storage. [ABSTRACT FROM AUTHOR]

Mangrove forests, characterized by high photosynthetic rate and low light compensation point, exhibit high gross primary production (GPP), an important component of "blue carbon". Accurate estimation of regional GPP and quantification of its limiting factors are greatly significant for China to achieve its carbon peaking and carbon neutrality goals. In this paper, the GPP of mangrove ecosystems in Hainan Island from 2016 to 2020 were estimated based on the mangrove vegetation photosynthesis-light use efficiency (MVP-LUE) model using Sentinel-2 imagery and environmental data, and the spatiotemporal distribution pattern of GPP and its driving mechanism were explored. The results were as follows: (1) During the study period, the annual GPP of mangrove ecosystems on Hainan Island showed an increasing trend, with higher GPP in the eastern regions than western regions, and northern regions than southern regions. The mangroves distributed over a large area in northeastern Hainan Island dominate the temporal variation patterns at the whole island scale. However, distinct differences exist in the temporal dynamics across different regions of the mangrove ecosystem in Hainan Island. (2) In terms of the formation mechanism, the spatiotemporal distribution pattern of GPP of mangrove ecosystems on Hainan Island was driven by a combination of multiple meteorological factors. Seasonally within each year, during the transition from the dry season to rainy season, GPP was higher due to lower limitation from air temperature (Tair), and the promoting effects of photosynthetically active radiation (PAR) and sea surface temperature. In the middle of the dry season, low Tair imposed a serious limitation on GPP, but this Tair, limitation was weakened with decreasing latitude. In the rainy season, higher cloud cover resulted in PAR becoming a limiting factor for GPP. At the end of the paper, we discussed the uncertainties and limitations of MVP-LUE, and the spatiotemporal distribution patterns of mangrove ecosystem GPP not only be constrained by environmental factors, but also species composition and forest age structure can also be driving factors. The results of this study provide basic data to assess the contribution of regional mangrove forests to the global carbon cycle, and theoretical support to reveal the key environmental factors affecting mangrove ecosystem carbon dynamics. [ABSTRACT FROM AUTHOR]

Mangrove ecosystems provide numerous ecological services and serve as vital habitats for a wide range of flora and fauna. Thus, accurate mapping and monitoring of relevant land covers in mangrove ecosystems are crucial for effective conservation and management efforts. In this study, we proposed a novel approach for mangrove ecosystem mapping using a Hybrid Selective Kernel-based Convolutional Neural Network (HSK-CNN) framework and multi-temporal Sentinel-2 imagery. A time series of the Normalized Difference Vegetation Index (NDVI) products derived from Sentinel-2 imagery was produced to capture the temporal behavior of land cover types in the dynamic ecosystem of the study area. The proposed algorithm integrated Selective Kernel-based feature extraction techniques to facilitate the effective learning and classification of multiple land cover types within the dynamic mangrove ecosystems. The model demonstrated a high Overall Accuracy (OA) of 94% in classifying eight land cover classes, including mangrove, tidal zone, water, mudflat, urban, and vegetation. The HSK-CNN demonstrated superior performance compared to other algorithms, including random forest (OA = 85%), XGBoost (OA = 87%), Three-Dimensional (3D)-DenseNet (OA = 90%), Two-Dimensional (2D)-CNN (OA = 91%), Multi-Layer Perceptron (MLP)-Mixer (OA = 92%), and Swin Transformer (OA = 93%). Additionally, it was observed that the structure of the network, such as the types of convolutional layers and patch sizes, affected the classification accuracy using the proposed model and, thus, the optimum scenarios and values of these parameters should be determined to obtain the highest possible classification accuracy. Overall, it was observed that the produced map could offer valuable insights into the distribution of different land cover types in the mangrove ecosystem, facilitating informed decision-making for conservation and sustainable management efforts. [ABSTRACT FROM AUTHOR]

The article describes the polyphasic identification of cyanobacteria from Muthukuda mangrove in the southeastern coast of India. The study examines the cellular morphology, molecular characteristics and phylogenetics of cyanobacteria strains in Chroococcales sp., Synechococcales sp. and Oscillatoriales sp., including Synechococcus elongatus, Pseudanabaena mucicola, Pseudanabaena foetide and Gloeocapsa sp.

This study focuses on the Kadalundi estuary, Kerala's first community reserve, investigating the prevalence and impacts of microplastics on both the estuarine environment and selected fish species. This study presents the initial evidence indicating the consumption of microplastic particles by 12 commercially important edible fish species inhabiting the Kadalundi estuary. Analysis revealed significant accumulations of microplastic fibers within the surface water. In examining 12 fish species from demersal and pelagic habitats, microplastics were found in both the gastrointestinal tracts and gills. In the digestive tracts, microplastic fragments constituted the highest proportion (46%), while in the gills, microplastic fibers were dominant (52.4%). This study observed a prevalence of blue microplastics over other colors in both water and fish samples. Notably, demersal species showed a higher incidence of ingested microplastics. Polymer analysis identified Polypropylene (PP), Nylon, Low-Density Polyethylene (LDPE), Polyethylene (PE), Polypropylene isotactic (iPP), PE 1 Octene copolymer, and Rayon in water samples, while fish samples predominantly contained LDPE, PP, PE, and Nylon. Risk assessment utilizing the Polymer Hazard Index (PHI) categorized certain polymers as posing minor to moderate risks. Pollution Load Index (PLI) computations indicated moderate to high levels of microplastic contamination across various sampling sites in the estuary. Principal Component Analysis (PCA) revealed a lack of correlation between fish size and microplastic ingestion, underscoring environmental factors' influence on microplastic intake. The study emphasizes the implications of microplastic pollution on the fragile ecosystem of the Kadalundi estuary, posing potential risks to biodiversity and human health. [ABSTRACT FROM AUTHOR]

Mangrove ecosystems are crucial for protecting littoral regions, preserving biodiversity and sequestering carbon. The implementation of effective conservation and management strategies requires a comprehensive understanding of mangrove community structure, canopy coverage and overall health. This investigation focused on four small islands located within the Bunaken National Park in Indonesia: Bunaken, Manado Tua, Mantehage and Nain. Utilising the line transect quadrant method and hemispherical photography, the investigation comprised a total of 12 observation stations. Nain had the greatest average canopy coverage at 76.09%, followed by Mantehage, Manado Tua and Bunaken at 75.82%, 71.83% and 70.01%, respectively. Mantehage had the maximum species density, with 770.83 ind/ha, followed by Bunaken, Nain and Manado Tua with 675 ind/ha, 616.67 ind/ha and 483.34 ind/ha, respectively. The predominant sediment type observed was sandy mud and the mangrove species identified were Avicennia officinalis (AO), Bruguiera gymnorrhiza (BG), Rhizophora apiculata (RA), R. mucronata (RM), and Sonneratia alba (SA). On the small islands, S. alba emerged as the dominant mangrove species based on the importance value index (IVI). In addition, the Mangrove Health Index revealed that only 6.79% of the region exhibited poor health values, while 50% of the region was categorised as being in outstanding condition. These findings indicate that the overall condition of mangroves on these islands was relatively favourable. [ABSTRACT FROM AUTHOR]

Mangroves play a vital role in the environment and contribute signific aptly to the well-being of coastal communities by providing goods and services. Unfortunately, the degradation and deforestation of mangroves has frequently occurred. Therefore, it is important to understand the vulnerability of mangroves and its impact on blue carbon storage for effective mangrove management and coastal planning. This study aims to assess the vulnerability of mangroves and its effect on blue carbon storage in the coral triangle region of Southeast Sulawesi, Indonesia. The vulnerability assessment included factors such as exposure, sensitivity, and adaptive capacity. Blue carbon storage was evaluated based on carbon stock in sediment, biomass, and total carbon stock in mangrove ecosystems in both protected and unprotected areas. The mangrove ecosystem in the protected area of Rawa Aopa Watumohai National (RAWN) Park showed lower vulnerability due to lower exposure, lower sensitivity, and higher adaptive capacity. On the other hand, mangrove ecosystems in unprotected areas such as Tinanggea (TNG), Kendari Bay (KDI), and Staring Bay (STR) exhibited moderate to high vulnerability due to higher exposure, sensitivity, and lower adaptive capacity. Mangroves in RAWN Park, which were less vulnerable, had higher blue carbon storage in sediment (381.64 tons C/ha), biomass (312.65 tons C/ha), and the entire ecosystem (706.76 tons C/ha). These values were significantly higher (p

The mangrove ecosystems are one type of coastal ecosystem found along coastlines and river estuaries that are influenced by tides and inundation. Segara Anakan Lagoon, Cilacap as one type of coastal ecosystem has a protection function, coastal area buffer, and cultivation area function that must be supported from the aspects of policy and institutions, communication, and coordination. This study aims to identify the role of stakeholders and the relationship between stakeholders in mangrove ecosystem management in Segara Anakan Lagoon, Cilacap. The research method used was a survey and interview method analyzed with MACTOR software. The results showed that there were 18 stakeholders who involved in mangrove ecosystem management in Segara Anakan Lagoon, Cilacap. The stakeholders are classified into main stakeholders, key stakeholders, and supporting stakeholders using the objective of mangrove management as key activities such as silvofishery, mangrove conservation, fishing activity, industry activity, etc. The level of convergence between stakeholders was 96.1% and the level of divergence was 3.9%. These results indicate a relatively low potential for conflict between stakeholders. The research can be used as a model relation between stakeholders to support the management activity of Segara Anakan Lagoon.

The Heritiera littoralis, an important rare semi-mangrove species found in coastal protective forests, plays a crucial role in carbon storage and cycling within mangrove wetland ecosystems. Despite its importance, previous studies have overlooked remote monitoring of its carbon storage. Taking the world’s oldest and largest natural community of H. littoralis in Shenzhen, China, as the study area, this research pioneers the use of UAV hyperspectral imaging to identify the H. littoralis community and estimate its above-ground, below-ground, and total carbon storage. The impacts of five geo-environmental factors (elevation, slope, aspect, vegetation communities, and inland distance from the coastline) on the spatial variability of carbon storage using SHapley Additive exPlanations (SHAP) and multiscale geographically weighted regression (MGWR) methods were also investigated. The results demonstrate that the first derivative bands within the red edge and near-infrared regions, the anthocyanin reflectance index 2 (ARI2) and newly-developed three-band VIs, were sensitive features for community identification and carbon storage estimation within the H. littoralis community. Among the four machine learning models (eXtreme Gradient Boosting (XGBoost), Random Forest (RF), Support Vector Machine (SVM), and Logistic Regression (LR)), the best identification accuracy for the H. littoralis community was achieved by XGBoost. Among the four machine learning models (XGBoost, RF, SVM and kernel ridge regression (KRR)), RF model achieved the best performance in estimating above-ground (R2 = 0.749, RMSE=1.723 kg/m2, EV (explained variance) = 0.704), below-ground (R2 = 0.636, RMSE=0.6 kg/m2, EV=0.606) and total carbon storage (R2 = 0.613, RMSE=2.592 kg/m2, EV=0.597). SHAP and MGWR analysis showed that elevation and inland distance from the coastline were key factors influencing the spatial variability of carbon storage. In conclusion, this study showcases significant advantages in community identification and carbon storage monitoring of rare mangrove communities, providing valuable insights for biodiversity conservation efforts and management within the H. littoralis ecosystem.

An ecosystem’s potential to deliver goods and services, primarily determined by the functional traits of the species, is crucial for assessing its health and conservation value. This study uses a trait-based approach to evaluate the spatial and temporal variation in the ecosystem services delivery potentials (ESDPs) of the Sundarbans mangrove. We analyzed abundance data from 81 permanent sample plots (PSPs), spread over different saline zones, collected between 1986 and 2014, paired with species-specific plant functional traits. Seventeen traits were examined, with species-level data sourced from secondary literature, linking traits to ecosystem services. Study revealed that plant height, specific leaf area, and root length are key traits for assessing ESDPs. The Sundarbans’ ESDPs varied spatially across different saline zones but remained stable over time. Notably, ESDPs were significantly higher in low saline zones compared to ESDPs in high saline zones. This spatial variation is partly explained by differences in plant species composition among saline zones and the relatively stable species composition over time. Results from mixed effect models showed that PSP as a random factor for all four models is attributed to the nested effect. The study highlights the value of functional traits in ecosystem service assessments, providing a robust method to predict how changes in biodiversity and environmental conditions affect service delivery. The observed trend of decreasing ESDPs with increasing salinity offers insights into the potential impacts of sea-level rise on mangrove forest functions. These findings are essential for developing conservation strategies and policies to preserve the Sundarbans’ ecological integrity and support local livelihoods. This research advocates for a trait-based framework as a critical tool for the sustainable management of mangrove ecosystems globally.

East Java's mangrove ecosystems are exceptionally susceptible to contamination by anthropogenic activities and degradable marine debris, including plastic. This study aimed to investigate the shapes and distribution of microplastics (MPs) in sediment, water, and wild crabs, as well as the correlation. Wild crabs, sediment, and water originated from ten distinct mangrove ecosystems dispersed throughout northern and southern East Java. The MPs were extracted using digestion and density separation methods. The research identified six discrete shapes of MPs in sediment and water: fiber, fragment, foam, film, pellet, and microbead. The identified MPs were distributed in varying concentrations across various sites. Fibers were prevalent in the majority of water, ranging from 2.5 to 24.90 particles. L−1, with the exception of Gedangan (GD) and Dubibir (DB), whose proportion was relatively low. For the sediments, the seven sites contained a greater proportion of fragments ranging from 1.53 to 1.69 particles. g−1 dw as compared to surface waters. Additionally, each wild crab contained 48 particles identified in the gills and digestive tracts (GIT). Fiber constituted more than 60 % of the total MPs, making it the most prevalent shape in the wild crabs. However, this variety was not preferred. Correlation analysis revealed connections between MPs found in sediment and their presence in crab gills and GIT (p

Accretion and erosion, which are natural geological phenomena in mangrove areas, provide interesting views that have implications for sustainable area management. This research aims to analyze the ecosystem that exists in the cold lava sedimentation of Mount Bromo and explore aspects of geological attraction, which is a natural factor that cannot be avoided. This study highlights several factors that contribute to mangrove ecosystem management, including water quality, level of mangrove exploitation, canopy cover. Furthermore, this study. Research found that Avicennia marina, Avicennia alba, Sonneratia alba, Sonneratia caseolaris and Rhizophora mucronate are the types of mangroves on Permata Pilang beach. The density value of 1156 ind/Ha indicates medium density. The diversity index is proven by a value of 1.39 indicating adequate productivity. Mangrove canopy cover of 72.60% indicates a medium mangrove forest condition with a density of 1000-1500 ind/Ha. The results of sediment analysis show that very fine sand is dominant, namely 40.94% of the sediment composition, while the lowest percentage is very fine mud at 0.33%. Types of mangrove vegetation such as Rhizophora sp and Avicennia alba can be found in sediments ranging from very fine sand to mud. The research results show that the water quality at Permata Pilang Beach is good. The findings show an average value of temperature, pH, dissolved oxygen (DO), and salinity of 31.7 °C; 8.5; 7.8 mg/L and 30.9 ppt. Water temperature and pH are classified as good if they range between 28-32 °C and 5.6-9.4 respectively. The ideal dissolved oxygen level in a mangrove ecosystem is between 3-7 mg/L. The recommended salinity range in mangrove ecosystems is 10-30 ppt. [ABSTRACT FROM AUTHOR]

Globally, mangroves have been promoted to protect the coastal ecosystems and human settlements against weather vagaries including climate change impacts. However, climate change can also affect the mangrove ecosystems, affecting their ability to mitigate losses and damages caused by climate change. Recognizing the need to understand the impact of climate change on the ability of mangroves to mitigate loss and damage, this paper presents the impact of climate change on mangrove ecosystems in Dat Mui commune, Ngoc Hien district, Ca Mau province, Vietnam by using community-based methods. Results showed that the most noticeable impact of climate change is the loss in mangrove area, aquatic resources, and coastal erosion prevention. In addition, there is a decline in timber, firewood supply, and habitat of mangrove species. Despite adaptation actions taken by the local authorities and households, mangrove ecosystems are is still facing loss and damage. Solutions have been proposed to help the local and national authorities and communities to address losses and damages caused by the climate change. [ABSTRACT FROM AUTHOR]

The study aims to determine the composition and diversity of waterbirds species in the Jatipapak mangrove ecosystem at Alas Purwo National Park (APNP). This research was conducted on September-October 2020 with terrestrial and marine surveys in three stations. Data collection includes the waterbirds species and the number of individuals of each species. Data analysis used species composition and diversity index (Shannon Wiener=H’). The results of the study obtained the existence of 837 individuals waterbirds consisting of seven families, 16 genera, and 23 species. The waterbird communities in this area are composed of 11 species of resident birds and 12 species of migratory birds. The diversity index of waterbird species obtained is 2.31 which means moderate level. Based on the conservation status, there were 22 species of waterbirds that were classified as least concern (LC) and one species namely the Lesser Adjutant (Leptoptilos javanicus) which was included in the Vulnerable (VU) category. ABSTRAK: Penelitian bertujuan untuk menentukan komposisi dan keanekaragaman spesies burung air di ekosistem mangrove Jatipapak di Taman Nasional Alas Purwo (TNAP). Penelitian ini dilakukan pada bulan September-Oktober 2020 dengan survei darat dan laut di tiga stasiun. Data yang dicatat meliputi spesies burung air dan jumlah individu setiap jenis. Analisis data menggunakan penentuan komposisi spesies dan indeks keanekaragaman jenis Shannon Wiener (H’). Hasil penelitian diperoleh 837 individu burung air yang terdiri dari 7 famili, 16 genus, dan 23 spesies. Komunitas burung air di kawasan ini terdiri dari 11 spesies burung penetap dan 12 spesies burung migran. Nilai indeks keanekaragaman jenis burung air yang diperoleh adalah 2,31 yang berarti dalam kategori sedang. Berdasarkan status konservasi, terdapat 22 spesies burung air yang tergolong least concern (LC) dan satu spesies yaitu bangau tongtong (Leptoptilos javanicus) yang masuk dalam kategori Vulnerable (VU).

Tourism planning serves as a strategic approach to mitigate and address the damage incurred by tourist attractions, such as the Tangkolak Bahari Center (TMC) mangrove ecosystem, which has experienced a loss of 2 hectares. The primary objective of this research is to formulate a zone-based tourism plan utilizing PlanetScope Dove-R sensor satellite imagery to provide spatial information specific to its application in December 2022. The methodology encompasses various techniques, including observation, structured interviews with tourists, focus group discussions involving tourism managers and local government representatives, digitization, and delineation. The result of research is Zones within the TMC tourist attractions, comprising Main and Supporting Space Plans, Primary and Secondary Circulation Plans, Avicennia, Rhizopora stylosa, and Sonneratia Conservation Vegetation Plans, as well as Plans for Nature, Conservation, Culinary Activities and Facilities, and Green Planning. Notably, the TMC tourist attraction remains viable, covering an area of 2.73 hectares in the West TMC and 1.79 hectares in the East TMC. It is imperative to underscore the importance of considering the sustainability of the mangrove ecosystem in utilizing these areas.

The COVID-19 pandemic led to an immediate lockdown declared by the government of India (March to April 2020) which saw a decrease in public activities. In view of this, a comparative study was carried out on the influence of environmental parameters on methane activities between the pre-lockdown and lockdown periods along a tropical estuarine mangrove ecosystem. Significant changes in the studied parameters specially in the organic matter and methane production rates (P < 0.05) were observed. During the lockdown as compared to the pre-lockdown period, the downstream site was impacted more than those at the upstream site with an average methane production decrease by 60X and 1.5X respectively. Both, oxidation and production of methane decreased during the lockdown and was related to organic matter availability (P < 0.05). The findings elucidate the positive impact of lockdown on the model ecosystem and the reduction in greenhouse methane activities. [ABSTRACT FROM AUTHOR]

Mangrove areas are considered the most retention zone for heavy metal pollution as it work as an edge that aggregates land and sea sediments. This study aims to examine if the heavy metals' existence in the mangrove sediment is related to contamination or natural resources. In addition, it gives an interpretation of the origin of these metals along the Egyptian Red Sea coast. Twenty-two samples of mangrove sediments were collected and then, analyzed for metals (Mn, Ni, Cu, Fe, Cd, Ag, and Pb) using inductively coupled plasma mass spectroscopy (ICP-MS). Integration between the in-situ data, contamination indices, and remote sensing and geographical information science (GIS), and multivariate statistical analysis techniques (PCA) were analyzed to assess and clarify the spatial origin of heavy metals in sediment at a regional scale. The average concentration of heavy metals from mangrove sediments were shown to be substantially lower than the referenced value, ranging from moderate to significant except the levels of Ag were very high. The heavy metals concentrations were expected to be naturally origin rather than anthropogenic and that be confirmed by mapping of Red Sea alteration zones spots. These alteration zones are parallel to mangrove sites and rich by several mineralization types including heavy metals that are carried by flooding to the coastline. Remote sensing and GIS techniques successfully contributed to interpreting the pattern of the origin of heavy metals and discharging systems that control the heavy metals concentration along the Red Sea coast. [ABSTRACT FROM AUTHOR]

The mangrove ecosystem of Lusi Sidoarjo Island has uniqueness and beauty with great potential to be developed as an education and conservation-based tourism. The main step that can be taken in efforts to develop mangrove tourism is identifying regional conditions and potentials through carrying capacity analysis. Carrying capacity analysis is needed to anticipate excess visitors who can potentially cause damage to the tourism environment. This study carried out in June – July 2022, aimed to analyze the potential and carrying capacity of mangrove ecosystems on Lusi Island as an education and conservation-based tourism. The method used in this study is descriptive quantitative by collecting data through observation, interviews, and field surveys. The calculation was made to determine the carrying capacity of the area. The results showed that the area's carrying capacity was 360 visitors/day with a diverse potential for mangroves, flora, fauna, and abundant content of metals and minerals based on XRD and XRF analysis, and literature studies. Based on the results of the analysis, it can be interpreted that Lusi Sidoarjo Island has a great amount of potential to be developed as an education and conservation-based tourism. [ABSTRACT FROM AUTHOR]

Ecosystem degradation is a key challenge that human society faces, as ecosystems provide services that are tied to human well‐being. Particularly, mangrove ecosystems provide important services to communities but are suffering heavy degradation, loss and potential collapse due to anthropogenic activities. The IUCN Red List of Ecosystems is a transparent and consistent framework for assessing ecosystems' risk of collapse and is increasingly used to inform legislation and ecosystem management globally.Satellite data have become increasingly common in environmental monitoring due to their extensive spatial and temporal coverage. Here, recent advances in analyses using satellite‐derived data were implemented to reassess the conservation status of the 'Rakhine mangrove forest on mud', an important intertidal ecosystem in Myanmar, extending a previous national Red List assessment that assessed the ecosystem as Critically Endangered.By incorporating additional data sources and analyses, the extended assessment produced more robust results and reduced the uncertainty in the previous assessment. Overall, the ecosystem was assessed as Critically Endangered (range: Vulnerable to Critically Endangered) as a result of historical mangrove extent loss. Recent losses and biotic disruptions were also observed, which would have led to the ecosystem being assessed as Vulnerable.While the final outcome of the Red List assessment remained at Critically Endangered due to the historical state of the mangroves pre‐dating the temporal coverage from satellite data, the uncertainty of the ecosystem's status was reduced, and the reassessment highlighted the recent areal changes and mangrove degradation that has occurred.The importance of conducting reassessments when new data become available is discussed, and a template for future mangrove Red List assessments that use satellite data as their primary source of information to improve the robustness of their results is presented. [ABSTRACT FROM AUTHOR]

The Indian Ocean tsunami in 2004 revealed the inferiority of hard engineering solutions in coastal protection and provided sound evidence over the potential of coastal vegetation, particularly mangroves in protecting the coast against erosion, tropical storm surges, and occasional natural calamities like tsunamis. The present study was initiated therefore to determine the extent to which mangroves could be used to protect the coasts against damage by tsunamis. The structure of mangrove vegetation at Kirinda, Kalametiya, and Rekawa in Sri Lanka that resisted tsunami waves for varying extents in 2004 was studied in detail to discern the wave attenuation function of mangrove vegetation. Vegetation structure is a salient factor that contributes to reduction of the impact of natural disturbances to which mangrove ecosystems are vulnerable. The current study highlights that mangrove parameters such as canopy, trunk, and complex root system and wave parameters such incident wave height and inundation distance play vital role in mangroves-induced wave attenuation. The study found that tsunami run-up height and tsunami inundation distance were negatively correlated with tree volume, forest width and tree height whereas that was positively correlated with porosity of the mangrove vegetation. Depth of sedimentation caused by tsunami waves decreased across the mangrove vegetation from the proximal end (in relation to the advancing wave) to the distal end at all mangrove study sites indicating the progressive dissipation of energy of the wave. The mangrove plant communities comprised of Avicennia marina, Ceriops tagal, Excoecaria agallocha and, Rhizophora mucronata evidently, have served as natural coastal barriers and contribute to mitigate impacts of natural disturbances such as tsunamis and tropical storms. As such our study revealed that the effectiveness of coastal bio-shields is based on the make-up of the coastal forests. [ABSTRACT FROM AUTHOR]

Tourism planning serves as a strategic approach to mitigate and address the damage incurred by tourist attractions, such as the Tangkolak Bahari Center (TMC) mangrove ecosystem, which has experienced a loss of 2 hectares. The primary objective of this research is to formulate a zone-based tourism plan utilizing PlanetScope Dove-R sensor satellite imagery to provide spatial information specific to its application in December 2022. The methodology encompasses various techniques, including observation, structured interviews with tourists, focus group discussions involving tourism managers and local government representatives, digitization, and delineation. The result of research is Zones within the TMC tourist attractions, comprising Main and Supporting Space Plans, Primary and Secondary Circulation Plans, Avicennia, Rhizopora stylosa, and Sonneratia Conservation Vegetation Plans, as well as Plans for Nature, Conservation, Culinary Activities and Facilities, and Green Planning. Notably, the TMC tourist attraction remains viable, covering an area of 2.73 hectares in the West TMC and 1.79 hectares in the East TMC. It is imperative to underscore the importance of considering the sustainability of the mangrove ecosystem in utilizing these areas. [ABSTRACT FROM AUTHOR]

The mangrove ecosystem of Lusi Sidoarjo Island has uniqueness and beauty with great potential to be developed as an education and conservation-based tourism. The main step that can be taken in efforts to develop mangrove tourism is identifying regional conditions and potentials through carrying capacity analysis. Carrying capacity analysis is needed to anticipate excess visitors who can potentially cause damage to the tourism environment. This study carried out in June – July 2022, aimed to analyze the potential and carrying capacity of mangrove ecosystems on Lusi Island as an education and conservation-based tourism. The method used in this study is descriptive quantitative by collecting data through observation, interviews, and field surveys. The calculation was made to determine the carrying capacity of the area. The results showed that the area's carrying capacity was 360 visitors/day with a diverse potential for mangroves, flora, fauna, and abundant content of metals and minerals based on XRD and XRF analysis, and literature studies. Based on the results of the analysis, it can be interpreted that Lusi Sidoarjo Island has a great amount of potential to be developed as an education and conservation-based tourism.

Mangrove ecosystem has an important role in reducing carbon in the environment. There has been massive conversion of mangrove area into ponds and buildings in the current period. Therefore, the species diversity and carbon sequestration capacity of the mangrove ecosystem must be evaluated to monitor its function. This research aims to evaluate the species diversity and the sequestered carbon in the mangrove ecosystem of Karimunjawa National Park (KNP), Indonesia. The species analysis in the 3 research sites, 9 transects, and 27 plots (10 m × 10 m) that was obtained using the quadrat sampling method. Allometric equations, Shannon–Wiener, and evenness indices were used to estimate the standing biomass and carbon, species diversity, and distribution, respectively. The sediment samples were obtained at a depth of 100 cm and divided into three depths, namely, 0–33, 34–67, and 68–100 cm. The carbon content of mangrove sediments was analyzed in the laboratory using the Walkley–Black method. The results revealed that mangroves in the KNP have moderate diversity and even distribution. The estimated carbon in the mangrove stand was 146.22 t C ha–1 and the estimated carbon stock in the sediment was around 360.61 t C ha–1. Although the mangrove ecosystem in Karimunjawa National Park is still in a stable condition, it is necessary to monitor its changes due to the anthropogenic activities.

Gelodok fish (mudskippers) are a subfamily of amphibian fish commonly found living in mangrove ecosystems, one of which is in Tabongo Village, Dulupi District, Boalemo Regency, Gorontalo Province. It is difficult to distinguish between species of this fish because they have very similar characteristics. This study aims to (1) determine the detailed morphological characteristics that distinguish gelodok fish species; and (2) determine the molecular characteristics of gelodok fish species found in coastal mangrove ecosystem of Tomini Bay, Tabongo Village, Boalemo Regency, Gorontalo. This research was conducted from 2022 to 2023 using purposive sampling method. Morphological characteristics were performed for 39 characters. Geometric-morphometric analysis was performed using ImageJ software with 10 land marks. Amplification of COI sequences was carried out with F1R1 and F2R2 primers. Based on morphological characteristics, it is known that two species of gelodok fish are found in the area, namely Periophthalmus argentilineatus and P. malaccensis. COI sequencing results of the samples confirmed one species of gelodok fish found in the area, namely P. argentilineatus. The other species cannot be definitively identified as P. malaccensis due to the absence of COI sequences for that species in GeneBank.

Abstract Nature‐based school field trips gained policy support from China governments. However, in a highly exam‐oriented education system, schools might be unwilling to implement such activities which they believe are merely fun journeys and useless for knowledge acquisition. We designed an experiential learning field trip to a local mangrove reserve for third graders and assessed how it changed their mental models about the mangrove ecosystem through pre‐ and post‐drawings. We analysed and scored the paired drawings through a rubric developed based on grounded theory coding procedures, used paired t‐tests to examine the changes, and qualitatively interpreted three example pairs from three groups divided by pre‐drawing scores. We deemed that participants' mental models improved, reflecting better knowledge about the mangrove ecosystem. We suggest that the notion of mental models of the environment is relevant to the needs of both formal schools and environmental organizations. By demonstrating a relatively successful nature‐based school field trip case involving pupils from China, we hope that formal schools of this country in the exam‐oriented educational context could utilize it as a justification and vicarious experience to participate in or implement such trips. Read the free Plain Language Summary for this article on the Journal blog.

Cyclones are a key disturbance in mangrove ecosystems, but it is challenging to assess post-storm impacts over large areas, along with the recovery of these systems at broad temporal scales. Given the high frequency of these events in the Sundarbans region, prompt and consistent assessment of vegetation conditions is an important research need. Several studies have assessed the impact of an extreme cyclone event in 2007 (Sidr); however, there is little agreement between the extent and severity of the disturbance footprint of the cyclone, and very few studies attempted to assess vegetation recovery. We used a MODIS (Moderate Resolution Imaging Spectroradiometer) time series (2001–2010) to calculate monthly plant productivity anomalies in Google Earth Engine. We summarized dry season anomalies to assess post-storm vegetation change and evaluate the recovery time. Approximately 2100 km2, primarily on the east side, were impacted by Sidr. The number of damaged pixels was reduced by 55% the following dry season (2008) and 93% in the dry season of 2009, indicating a near-full recovery 26 months after the event. Our results provide an additional line of evidence to provide a rapid assessment of the post-storm vegetation damage. The simple framework used can provide a comprehensive view of the extent of the damage, including lag effects on vegetation, in just a matter of months after the event.

Mangrove ecosystems provide numerous ecological services and serve as vital habitats for a wide range of flora and fauna. Thus, accurate mapping and monitoring of relevant land covers in mangrove ecosystems are crucial for effective conservation and management efforts. In this study, we proposed a novel approach for mangrove ecosystem mapping using a Hybrid Selective Kernel-based Convolutional Neural Network (HSK-CNN) framework and multi-temporal Sentinel-2 imagery. A time series of the Normalized Difference Vegetation Index (NDVI) products derived from Sentinel-2 imagery was produced to capture the temporal behavior of land cover types in the dynamic ecosystem of the study area. The proposed algorithm integrated Selective Kernel-based feature extraction techniques to facilitate the effective learning and classification of multiple land cover types within the dynamic mangrove ecosystems. The model demonstrated a high Overall Accuracy (OA) of 94% in classifying eight land cover classes, including mangrove, tidal zone, water, mudflat, urban, and vegetation. The HSK-CNN demonstrated superior performance compared to other algorithms, including random forest (OA = 85%), XGBoost (OA = 87%), Three-Dimensional (3D)-DenseNet (OA = 90%), Two-Dimensional (2D)-CNN (OA = 91%), Multi-Layer Perceptron (MLP)-Mixer (OA = 92%), and Swin Transformer (OA = 93%). Additionally, it was observed that the structure of the network, such as the types of convolutional layers and patch sizes, affected the classification accuracy using the proposed model and, thus, the optimum scenarios and values of these parameters should be determined to obtain the highest possible classification accuracy. Overall, it was observed that the produced map could offer valuable insights into the distribution of different land cover types in the mangrove ecosystem, facilitating informed decision-making for conservation and sustainable management efforts.

In the current study, fungi from the mangrove ecosystem of Mumbai were isolated and their metabolites were screened for antibacterial potential. Two weeks old broth and mycelium were extracted using chloroform and methanol. Antibacterial property of solvent extracts was evaluated at various concentrations (2 – 10 µg/ml) against Staphylococcus aureus, Bacillus subtilis, Enterococcus faecium, Enterococcus faecalis, Klebsiella pneumonia and Escherichia coli, by well diffusion method. Fungi isolated were identified as Aspergillus niger, Aspergillus flavus, Trichoderma harzianum, Cylindrocladium scoparium and Colletotrichum wuxiense. Results revealed that broth solvent extracts of isolates inhibited the growth of all gram-positive test bacteria, chloroform broth extract of Cylindrocladium scoparium, Colletotrichum wuxiense and ethanolic broth extract of Aspergillus flavus, Trichoderma harzianum exhibited antibacterial potential against gram negative test organisms. Chloroform and ethanol mycelium extracts of Trichoderma harzianum and Aspergillus flavus, respectively, exhibited 100% growth inhibition potential against all test organisms. The current investigation endorses the potent secondary metabolism of the identified isolates and their potential to synthesise antibacterial compounds.

The presence of polycyclic aromatic hydrocarbons (PAHs) in soil poses a significant global environmental concern, particularly in coastal wetlands. Mangrove ecosystems exhibit enormous potential in environmental purification; however, the underlying mechanisms involved in the degradation of pollutants (e.g., PAHs) remain ambiguous. In the present investigation, a soil pot experiment was conducted with the addition of pyrene to evaluate the effect of radial oxygen loss (ROL) from roots on PAH degradation using three mangrove seedlings (Rhizophora stylosa, Aegiceras corniculatum, and Avicennia marina). The results showed that mangrove plantation can significantly promote the efficiency of pyrene removal. As for the three mangrove species studied, the greatest removal rate (90.75%) was observed in the soils associated with A. marina, followed by A. corniculatum (83.83%) and R. stylosa (77.15%). The higher PAH removal efficiency of A. marina can be partially attributed to its distinctive root anatomical structure, characterized by a thin exodermis and high porosity, which facilitates ROL from the roots. The results from qPCR further demonstrate that ROL is beneficial for promoting the abundance of PAH-ring hydroxylating dioxygenase gene, leading to a higher removal efficiency. Additionally, Rhizobiales, Defferrisomatales, and Ardenticatenales may also play important roles in the process of pyrene degradation. In summary, this study provides evidence for elucidating the mechanism of PAH removal from the perspective of ROL, thereby contributing valuable insights for species selection during mangrove restoration and remediation. [ABSTRACT FROM AUTHOR]

Nature‐based school field trips gained policy support from China governments. However, in a highly exam‐oriented education system, schools might be unwilling to implement such activities which they believe are merely fun journeys and useless for knowledge acquisition.We designed an experiential learning field trip to a local mangrove reserve for third graders and assessed how it changed their mental models about the mangrove ecosystem through pre‐ and post‐drawings.We analysed and scored the paired drawings through a rubric developed based on grounded theory coding procedures, used paired t‐tests to examine the changes, and qualitatively interpreted three example pairs from three groups divided by pre‐drawing scores. We deemed that participants' mental models improved, reflecting better knowledge about the mangrove ecosystem.We suggest that the notion of mental models of the environment is relevant to the needs of both formal schools and environmental organizations.By demonstrating a relatively successful nature‐based school field trip case involving pupils from China, we hope that formal schools of this country in the exam‐oriented educational context could utilize it as a justification and vicarious experience to participate in or implement such trips. Read the free Plain Language Summary for this article on the Journal blog. Read the free Plain Language Summary for this article on the Journal blog. [ABSTRACT FROM AUTHOR]

Mangrove ecosystems have many functions for coastal areas, including ecological, social, and economic services. These functions have a systemic impact on the environment of other coastal ecosystems and human life. The mangrove ecosystem covering an area of 197.92 ha in Bedono, Demak Regency, Central Java was threatened due to the wave abrasion and high tides. Some parts of Bedono Village had become inundated and flooded permanently, zink as part of the ocean. This research was conducted to quantify water pollution in the mangrove ecosystem of Bedono Village using the Storage and Retrieval (STORET) method and the pollution index (PI). The fieldwork was conducted June 2022, by collecting water samples for laboratory analysis tests and in-situ water quality measurement. The parameter of the water quality that exceeded threshold of the Government Regulation of the Republic of Indonesia Number 22 of 2021 are the dissolved oxygen (DO) ranges between 4.39-8.78 mg L-1, BOD ranges between 30-32.4 mg L-1, phosphate ranges between 0.063-0.074 mg L-1, ammonia ranges between 0.148-0.48 mg L-1, Cr ranges between 0.071-0.21 mg L-1, and Pb ranges between 0.071-0.21 mg L-1. Based on the STORET method, the water quality in the mangrove ecosystem was found to be in the category of moderately (-16, for harbor function) – heavily polluted (-80, for tourism and -90, marine biota), whereas based on the PI index it was lightly polluted (1.77-4.12, for harbor function) – moderately polluted (11.06-13.83for tourism, and 9.96-11.85, marine biota). [ABSTRACT FROM AUTHOR]

Cyclones are a key disturbance in mangrove ecosystems, but it is challenging to assess post-storm impacts over large areas, along with the recovery of these systems at broad temporal scales. Given the high frequency of these events in the Sundarbans region, prompt and consistent assessment of vegetation conditions is an important research need. Several studies have assessed the impact of an extreme cyclone event in 2007 (Sidr); however, there is little agreement between the extent and severity of the disturbance footprint of the cyclone, and very few studies attempted to assess vegetation recovery. We used a MODIS (Moderate Resolution Imaging Spectroradiometer) time series (2001–2010) to calculate monthly plant productivity anomalies in Google Earth Engine. We summarized dry season anomalies to assess post-storm vegetation change and evaluate the recovery time. Approximately 2100 km2, primarily on the east side, were impacted by Sidr. The number of damaged pixels was reduced by 55% the following dry season (2008) and 93% in the dry season of 2009, indicating a near-full recovery 26 months after the event. Our results provide an additional line of evidence to provide a rapid assessment of the post-storm vegetation damage. The simple framework used can provide a comprehensive view of the extent of the damage, including lag effects on vegetation, in just a matter of months after the event. [ABSTRACT FROM AUTHOR]

This study on the automatic assessment of mangroves uses geometric, textural parameters and vegetation indices derived from Landsat 8 images utilizing the Google Earth Engine. The extent of Indian mangroves is estimated as 5581 sq. km for 2019, with an overall accuracy (OA) of 86% and kappa coefficient (k) of 0.77. Among the five regions studied, maximum OA was obtained for Mumbai (94%; k = 0.89) and minimum for Godavari (81.625%; k = 0.66). Such automated mapping will benefit effective mangrove monitoring and management with a near real-time accurate estimation of mangroves. [ABSTRACT FROM AUTHOR]

Protection of the mangrove ecosystem in the Climate Village Program (ProKlim) is a government effort to reduce climate change and reduce Greenhouse Gas (GHG) emissions from an ecological perspective. This study aims to analyze the protection of mangrove ecosystems based on community empowerment in the climate village program (ProKlim) in Pangkalan Jambi Village, Bengkalis Regency. The method used in this research is mixed method by combining quantitative and qualitative technique through observation and in-depth interviews. From the observation results, it was found that the condition of the mangroves in Pangkalan Jambi Village had been damaged. Based on interviews, it was found that community involvement was carried out with the concept of empowerment accompanied by PT. Pertamina Indonesia Refinery (KPI) Sungai Pakning, Bengkalis Regency Government and Riau Provincial Government so that the mindset of the people in Pangkalan Jambi Village, Bukit Batu District, increases positively in protecting the mangrove ecosystem. In protecting the mangrove ecosystem, real action is carried out through planning, implementing nurseries, planting and using technology by involving the community. The novelty of the paper lies in its novel combination of socio-ecological and mixed method approaches to highlight the importance of community-based conservation efforts in mitigating climate change impacts in a mangrove ecosystem protection. [ABSTRACT FROM AUTHOR]

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A conceptual model is needed to determine the interaction of ecological and social systems in the governance of a sustainable mangrove ecosystem. The SES approach can be used to analyze the management of mangrove ecosystem areas on the interaction or connectivity of functional system relationships. This research analyzes the social-ecological system (SES) model in managing mangrove ecosystem areas in Tangerang Regency. This research is a descriptive case study, where data collection is carried out through surveys, field observations, and literature studies. Analysis of SES problems with the DPSIR (Driving-force, Pressure, State, Impact, and Response) approach shows that the issues of governance of mangrove ecosystems in Tangerang Regency are driven by the mangrove ecosystem services themselves, population increase, space utilization, economic activities, and the welfare level and knowledge of sustainable ecosystem management. These driving factors cause pressure on the mangrove ecosystem due to the conversion of land functions and activities of ecosystem utilization, causing environmental degradation conditions and increasingly intensive use of mangrove ecosystems. These conditions cause impacts on the socio-ecological system, namely spatial use conflicts, deforestation, environmental pollution, the decline in ecosystem functions, abrasion and accretion, tidal flooding, and social conflicts. These impacts can be suppressed, mitigated, improved, and minimized through mangrove ecosystem governance policies, namely rehabilitation and restoration, ecotourism development, coastal border conservation, silvofishery ponds, coastal community development movement programs, increased public education, and cooperative management based. [ABSTRACT FROM AUTHOR]

In the current study, fungi from the mangrove ecosystem of Mumbai were isolated and their metabolites were screened for antibacterial potential. Two weeks old broth and mycelium were extracted using chloroform and methanol. Antibacterial property of solvent extracts was evaluated at various concentrations (2 - 10 µg/ml) against Staphylococcus aureus, Bacillus subtilis, Enterococcus faecium, Enterococcus faecalis, Klebsiella pneumonia and Escherichia coli, by well diffusion method. Fungi isolated were identified as Aspergillus niger, Aspergillus flavus, Trichoderma harzianum, Cylindrocladium scoparium and Colletotrichum wuxiense. Results revealed that broth solvent extracts of isolates inhibited the growth of all gram-positive test bacteria, chloroform broth extract of Cylindrocladium scoparium, Colletotrichum wuxiense and ethanolic broth extract of Aspergillus flavus, Trichoderma harzianum exhibited antibacterial potential against gram negative test organisms. Chloroform and ethanol mycelium extracts of Trichoderma harzianum and Aspergillus flavus, respectively, exhibited 100% growth inhibition potential against all test organisms. The current investigation endorses the potent secondary metabolism of the identified isolates and their potential to synthesise antibacterial compounds. [ABSTRACT FROM AUTHOR]