Mangrove Ecosystem Research Articles

Land Cover Mapping in a Mangrove Ecosystem Using Hybrid Selective Kernel-Based Convolutional Neural Networks and Multi-Temporal Sentinel-2 Imagery

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.

Peran SAMPAN Kalimantan dalam Konservasi Mangrove di Kalimantan Barat

This research aims to describe the role of SAMPAN Kalimantan as an NGO that contributes to the preservation of mangrove ecosystems as an effort to adapt to climate change. This research uses a qualitative descriptive research methodology with data processing using source triangulation. In addition, researchers used the theory of the role of non-governmental organizations (NGOs) to analyze the role of SAMPAN Kalimantan in mangrove conservation. The results of this research are that SAMPAN Kalimantan, which runs the program in Kubu Raya, has begun to fulfill its role as an NGO, namely as Executor/Implementer, Catalyst and Partner. As the Executor, it is known that there are several activities carried out by the community that can benefit the general public and provide employment opportunities and benefits for the local community by utilizing existing natural resources, one of which is the potential for fish, shrimp and crabs. As a catalyst, SAMPAN Kalimantan has encouraged areas that have not received permits to become social forestry since 2013.

Correlation Analysis Between Climatic Parameters And Their Effect On Evapotranspiration At Bhitarkanika National Park Region, Odisha, India

In order to evaluate the link between a few chosen meteorological characteristics and their association with potential evapotranspiration (PET), which was determined using the correlational approach, a research was conducted in the Bhitarkanika National Park Area, Odisha. Temperature, humidity, wind speed, and sun radiation made up the chosen climatic variables. Strong positive and negative correlations between PET and temperature, sun radiation, wind speed, and humidity were observed to show the effects on mangrove ecosystems . In addition, rainfall was abundant from April through October, with August seeing the most. Investigating their potential future changes and related implications requires accurate simulations of these variables from climate models, both in terms of values and changes over time. This paper aims to explain the usefulness of the linear correlation coefficient between two variables in identifying the level of multicollinearity and the mediating/moderating status of independent variables in a model.

Analysis Of Mangrove Land Cover In The Sawo Marine Conservation Area, North Nias District

Sawo sub-district of North Nias Regency has a mangrove ecosystem that has been designated as a Regional Marine Conservation Area (KKLD) with an area of 29,230.85 ha. The 2005 earthquake and tsunami are reported to have caused damage to mangrove ecosystems due to rising land levels. The increase in land surface has resulted in the destruction of mangroves in this area. This has an impact on the sustainability of the mangrove ecosystem in this region and is important to study. The purpose of this study is to analyze changes in mangrove land cover after the tsunami in 2006 to 2022 and to analyze the impact of changes in mangrove land cover. The results found that mangrove land cover continues to experience a reduction in area, in 2006 an area of 139.78 ha and continues to decline until the remaining 70.87 ha in 2022. This is due to the increasing population growth that causes mangrove forest degradation and land conversion into agricultural land, plantations and infrastructure. The increase in population is a driving force, land clearing for settlements and plantations is a pressure factor (Pressures), land use change is a factor of existing conditions (State), reduced mangrove land area is part of the impact (Impact) and coastal spatial planning, counseling to reforestation is a response (Response). Land conversion to other uses is a contributing factor to the continued loss of mangrove land in this area.Keywords: Mangrove, Land cover, GIS, DPSIR

Analysis of total biomass, carbon stock and carbon dioxide uptake in kandelia candel stands on Payung Island, Banyuasin Ii Sub-District, Banyuasin Regency, South Sumatra

Background: Mangrove ecosystems play a crucial role in mitigating climate change through carbon sequestration. This study aimed to quantify the biomass, carbon stock, and carbon dioxide uptake of Kandelia candel stands on Payung Island, South Sumatra, Indonesia. Methods: Non-destructive sampling was conducted at two stations using 10x10 m plots along 50 m transects. Tree diameter was measured and allometric equations were used to estimate biomass and carbon stocks. Environmental parameters were also recorded. Finding: The highest biomass (193.69 ton/ha), carbon stock (89.11 ton C/ha), and CO2 uptake (320.04 ton CO2/ha) were found at Station II, correlating with larger average tree diameters. Environmental conditions, including salinity (0‰), pH (7.0), temperature (24-28°C), and humidity (90-91%), were favorable for K. candel growth. The substantial carbon storage demonstrates the importance of these stands for climate change mitigation. Conclusion: This study provides valuable data on the carbon sequestration potential of K. candel in a unique estuarine setting, contributing to our understanding of mangrove ecosystems' role in global carbon cycles and informing conservation strategies. Novelty/Originality of this Study: This study focuses on quantifying the biomass, carbon stocks, and CO₂ uptake of Kandelia candel stands within the unique estuarine ecosystem of Payung Island, South Sumatra. By providing species-specific data on K. candel—a mangrove species that has been relatively underexplored—this research addresses a significant knowledge gap and enhances our understanding of its role in carbon sequestration.

Comparison of the coexistence pattern of mangrove macrobenthos between natural and artificial reforestation.

The abandoned pond-to-mangrove restoration project provides greater advantages than tidal flats afforestation in restoring mangrove ecosystem services and will be the primary method for mangrove restoration in the future. The existing methods for abandoned pond-to-mangrove restoration include artificial restoration through 'dike-breaking, filling with imported soil and tree planting' and natural restoration through 'dike-breaking and natural succession'. However, little is known about which restoration strategy (natural or artificial restoration) provides more benefits to the biodiversity of mangrove macrobethos. Given a prevailing view suggested that artificial restoration should be the preferred approach for accelerating recovery of biodiversity and vegetation structure in tropical regions, we hypothesised higher macrobenthic biodiversity and more complex community structure in artificial restoration than in natural restoration. To test this hypothesis, macrobenthic biodiversity and ecological processes were monitored in a typical abandoned pond-to-mangrove area of Dongzhaigang Bay, China, where artificial and natural restoration methods were used concurrently. Differences in macrobenthic biodiversity, community structure and ecological processes were compared using diversity indices, complex network analysis and null models. Similar species composition and ecological niche overlap and width among macrobenthos were observed at artificial and natural restoration sites. The biotic heterogeneity and interaction among macrobenthos were higher at the natural restoration sites than at the artificial restoration sites. Macrobenthos community assembly at natural and artificial restoration sites was both determined by deterministic processes, with environmental filtering dominating, which explained 52% and 54% of the variations in macrobenthic community structures respectively. Although our findings did not validate the research hypothesis, higher biotic heterogeneity and species interaction among macrobenthos could support natural restoration as the primary method for abandoned pond-to-mangrove projects, because it is a nature-based solution for mangrove restoration.

The relationship between habitat quality and the diversity of phytoplankton, zooplankton, and nekton in mangrove ecosystems of Bawean Island, Indonesia

Abstract. Retnaningdyah C, Arisoesilaningsih E, Vidayanti V, Salsabila Q, Purnomo P. 2024. The relationship between habitat quality and the diversity of phytoplankton, zooplankton, and nekton in mangrove ecosystems of Bawean Island, Indonesia. Biodiversitas 25: 3017-3026. Mangrove ecosystem consists of biotic and abiotic components that interact with each other to form a food chain. This study aims to analyze the relationship between the diversity and abundance of phytoplankton, zooplankton, and nekton and water quality, human activities, and carbon stock in the mangrove ecosystem in Bawean Island. Data was collected from 11 sampling locations across the island. At each location, we observed the diversity of phytoplankton, zooplankton, and nekton and carbon stock of mangroves along with data of water quality (salinity, pH, dissolved oxygen/DO, biochemical oxygen demand/BOD, nitrate, orthophosphate, dihydrogen sulfide/H2S, dissolved lead/Pb) and human activities based on the hemeroby index. The research results showed that the level of DO, H2S, nitrate, and orthophosphate did not meet the quality standard according to the Indonesian government. The level of disturbance from human activities varied from ?-mesoherobic to metahemerobic categories. Human activities and higher levels of H2S in waters had a negative relationship with mangrove ecosystem carbon stock and the diversity and taxa richness of phytoplankton, zooplankton, and nekton. Phytoplankton diversity had a positive relationship with zooplankton, while zooplankton diversity had a positive relationship with nekton. High carbon stock in the mangrove ecosystem will likely increase the diversity of phytoplankton, zooplankton, and nekton. The result of this study implies that anthropogenic activities need to be controlled to improve the Bawean Island mangrove ecosystem services.

Management strategies for the potential and value of mangrove forest ecosystem services in the Panango area of south Bolaang Mongondow regency

The Panango area is an area that has mangrove forests in its coastal areas that are used for ecotourism, fisheries, and environmental conservation. Mangrove forests in the area have the potential and value of important benefits to the surrounding community which has been using them for a long time, but data and information are not yet available, so it is necessary to identify and assess the ecosystem services in the area. The purpose of this study was to determine the potential and value of the benefits of mangrove ecosystem services in the Panango area in terms of provisioning, regulating, cultural, and supporting functions, and to determine strategies for managing the mangrove forest in the area. This research uses primary data obtained through field observations, namely observation of research objects, completion of questionnaires, and interviews with respondents. Secondary data was obtained from local government data and other data sources relevant to the research. The research data analysis technique was carried out by calculating the total economic value of each mangrove ecosystem service and SWOT analysis to determine mangrove area management strategies. This study concluded that the economic value of the potential and benefits of mangrove forest ecosystem services in the Panango area in total Rp. 26,259,380,092/year consisting of the value of service providers of Rp. 684,300,000/year, the potential for regulatory services as a wave breaker with a benefit value of Rp. 9,705,300,000/10 years, the potential value as a cultural service of Rp. 15,846,000,000/year, and the potential value as a supporting service of Rp. 23,780,092/year. Strategies that can be used in sustainable management of the potential and value of the benefits of mangrove forest ecosystem services in Panango area are through conservation efforts to protect and manage the area by involving joint participation between local governments and communities and other stakeholders.

Bacterial Communities across Multiple Ecological Niches (Water, Sediment, Plastic, and Snail Gut) in Mangrove Habitats.

Microbial composition across substrates in mangroves, particularly in the Middle East, remains unclear. This study characterized bacterial communities in sediment, water, Terebralia palustris snail guts, and plastic associated with Avicennia marina mangrove forests in two coastal lagoons in the Sea of Oman using 16S rDNA gene MiSeq sequencing. The genus Vibrio dominated all substrates except water. In the gut of snails, Vibrio is composed of 80-99% of all bacterial genera. The water samples showed a different pattern, with the genus Sunxiuqinia being dominant in both Sawadi (50.80%) and Qurum (49.29%) lagoons. There were significant differences in bacterial communities on different substrata, in particular plastic. Snail guts harbored the highest number of unique Operational Taxonomic Units (OTUs) in both lagoons, accounting for 30.97% OTUs in Sawadi and 28.91% OTUs in Qurum, compared to other substrates. Plastic in the polluted Sawadi lagoon with low salinity harbored distinct genera such as Vibrio, Aestuariibacter, Zunongwangia, and Jeotgalibacillus, which were absent in the Qurum lagoon with higher salinity and lower pollution. Sawadi lagoon exhibited higher species diversity in sediment and plastic substrates, while Qurum lagoon demonstrated lower species diversity. The principal component analysis (PCA) indicates that environmental factors such as salinity, pH, and nutrient levels significantly influence bacterial community composition across substrates. Variations in organic matter and potential anthropogenic influences, particularly from plastics, further shape bacterial communities. This study highlights the complex microbial communities in mangrove ecosystems, emphasizing the importance of considering multiple substrates in mangrove microbial ecology studies. The understanding of microbial dynamics and anthropogenic impacts is crucial for shaping effective conservation and management strategies in mangrove ecosystems, particularly in the face of environmental changes.

Community perception toward mangrove restoration program in Kampung Nelayan Seberang, Medan

Indonesia has the largest mangrove forests in the world. However, Indonesia is also listed as the largest contributor to loss of the world's mangrove forests. Good mangroves will support the lives of coastal communities and vice versa. Mangrove forests in the area of Kampung Nelayan Seberang, Medan Belawan and its surroundings were also degraded. Therefore, degraded mangrove forests need to be restored through mangrove restoration activities with the involvement of the surrounding community. This community service activity through the Assisted Village Program will carry out mangrove restoration activities with the people of Kampung Nelayan Seberang. The success of restoration activities is determined by good understanding of the mangrove ecosystem and the commitment of the community to be involved in restoring it. The objective of this study was to identify understanding related to mangrove ecosystems and community perceptions of its restoration efforts. Collecting data was carried out by interviewing respondents who represented the population. Descriptive analysis is used to describe the socio-economic conditions, understanding and perceptions of the community regarding ecosystems and mangrove restoration. Generally, respondents understand the role of mangrove forests and agree that mangrove restoration must be done together. Amount of 53 - 83% of respondents agreed and understood that mangrove restoration is important for life and has an impact on income, social and cultural life. The results showed that 60 - 90% of respondents around the restoration area need a rehabilitation program and are willing to be involved in a mangrove restoration program with the parties.

Blue carbon assessment in Avicennia marina sediments and vegetation along the Red Sea Coast of Egypt: Improving methods and insights

Mangrove forests play a crucial role in the coastal environment. A plethora of research is focusing on mangroves’ role in climate mitigation through sequestering and storing CO2. This study aims to assess the organic carbon (OC) stocks and carbon sequestration rate (CSR) of the largest stands of mangroves in the Red Sea Coast of Egypt, to evaluate their significance in climate mitigation strategies. Intensive sampling was conducted in mangrove stands of Safaga, Qulaan, and Hamata to investigate OC and sediment properties along depth intervals to 1 m deep. Additionally, OC stored in the above- and below-ground biomass was estimated using Landsat 9 OLI/TIRS satellite images. TOC content (∼0.50%) and stocks in the sediments (54.49 ± 31.71–86.00 ± 29.00 MgC/ha) were very low compared to the global average for mangrove stands, and comparable to the mangrove forest in the Middle East region. This can be attributed to the desert and semi-desert conditions, limited riverine input, and low precipitation rates. Moreover, the above-ground biomass, estimated from Normalized Difference Vegetation Index, exhibited extremely low OC storage. Therefore, the sediment acted as the main pool of organic carbon in these mangrove ecosystems. The research findings revealed that mangrove stands in Egypt exhibit low CSR, ranging from 11.94 to 18.02 g C m−2 year−1. Additionally, the study determined that the stable nature of mangrove stands in Egypt makes their annual CO2 emissions negligible. Despite local studies suggesting otherwise, it is highly unlikely that mangroves in Egypt contribute to the climate mitigation related to CO2 sequestration. Therefore, it is important to implement restoration plans to ensure the preservation of other ecological services provided by mangroves along the Red Sea Coast.

The Environmental and Economic Impacts of Shrimp Production in Ecuador End Esmeraldas

Objective: The aim of this work is to demonstrate how the intensive exploitation of the mangrove ecosystem through extensive shrimp farming for export has destroyed the livelihoods of the communities that are its historical users. Theoretical Framework: This section presents the main concepts and theories supporting the research. Shrimp farming production in Ecuador and its impacts are highlighted, providing a solid foundation for understanding the research context. Method: The methodology used in the development of the research consisted of the review of secondary information (statistics) and fieldwork in the communities. Results and Discussion: The most important results obtained are: a) shrimp farming is the third and sometimes the second largest foreign exchange earner for the country, b) this activity has had a severe impact on the ecosystem. From 1960 to 1999, its surface area decreased from 206,009.30 to 149,974 hectares. In Esmeraldas, it was reduced by 84.5% of its surface area, and 90% of the companies that were established did so illegally. The most important conclusion of the study is that the destruction of the mangrove ecosystem has deepened poverty due to Unmet Basic Needs in the communities, reaching 99.3% in Eloy Alfaro, 97.6% in Muisne, and 93.5% in San Lorenzo. Furthermore, the destruction of the mangrove ecosystem puts riparian communities at severe risk of flooding, especially now that we are approaching an El Niño climatic phenomenon. Implications of the Research: The practical and theoretical implications of this research are discussed, providing information on how the results can be applied or influence practices in the field of economic and environmental impacts of shrimp production. These implications could encompass the communities or regions where shrimp are produced. Originality/Value: This study contributes to the literature by determining the damage to the ecosystem caused by this economic activity. The relevance and value of this research are evident in explaining how the results can impact the area of study or professional practice.

Stand growth and carbon stocks of community-based mangrove rehabilitation in Singkawang City, West Kalimantan, Indonesia

Abstract. Astiani D, Roslinda E, Widiastuti T, Ekamawanti HA, Ekyastuti W, Dwianto W, Alfikri F, Ngidu EY. 2024. Stand growth and carbon stocks of community-based mangrove rehabilitation in Singkawang City, West Kalimantan, Indonesia. Biodiversitas 25: 2799-2805. The ability of tropical mangrove ecosystems to store carbon in the form of biomass is well-founded. The mangrove forest in Setapuk Besar Village, Singkawang City, West Kalimantan Province, Indonesia has been managed by community members in response to the development of alluvial sediment land in recent years. The community's efforts in Setapuk Besar Village to rehabilitate and manage mangrove forests illustrate how essential mangrove forests are to the local ecology and should be applauded for their success. This study aims to investigate the growth and development, carbon stored and sequestered in mangrove forests planted by community in Setapuk Besar between 2015 and 2020. Field survey was conducted from July to November 2022 by mapping the sediment land that had expanded since 2015 and continued with the measurement of density and diameter of mangrove stands that were systematically planted in each planting year using sampling plot method. In addition, site factors such as pH, carbon content, nitrogen, phosphorus, CEC, and soil solution salinity were investigated. Our findings indicate that due to alluvial sedimentation, the coastline in Setapuk village is expanding by 3.3 to 4.6 ha annually, accumulating 24 ha throughout a six-year period. The mangroves planted in 2015-2016 are now thriving on the new land. The six-year-old trees diameter achieved an average of 6.80±0.13 cm, averaged 5.1 m in height, and increased from 0.45 to 2.2 cm in diameter. The total biomass (above and below-ground) of plants aged 4, 5 and 6 years was 250, 303 and 430 tons ha-1, with a potential to absorb carbon of 28-33 tons ha-1 year-1, correspondingly. Given that this mangrove area plays a crucial role in CO2 capture in nature and has a relatively high ability to absorb and store carbon, conservation efforts and best practices are necessary for this forest.

Assessment of spatio-temporal dynamics of mangrove forest in Teluk Pangpang, Banyuwangi, East Java, Indonesia

Abstract. Hidayah Z, Rachman HA, Wiyanto DB. 2024. Assessment of spatio-temporal dynamics of mangrove forest in Teluk Pangpang, Banyuwangi, East Java, Indonesia. Biodiversitas 25: 3138-3150. Mangrove forest in Teluk Pangpang, Banyuwangi District, East Java, Indonesia is located in a semi-enclosed bay area on the east coast of Java Island and bordering with Bali Strait. Since 2020, this location has been designated as an Essential Ecosystem Area (EEA) by the Indonesia Ministry of Environment and Forestry. Regardless of its designation as an EEA, information on vegetation stucture and spatio-temporal changes of Teluk Pangpang’s mangrove forest is limited. The availability of multi-temporal medium to high-resolution satellite imagery data enables researchers to monitor the condition of mangrove ecosystem using long-term data and reliable spatial continuity. The objective of this study is to investigate vegetation community structure of mangrove forest in Teluk Pangpang, as well as to determine the changes in extent and condition of mangrove forest measured as Mangrove Health Index (MHI) between 2015 and 2023 using remote sensing and GIS analysis. Spatio-temporal dynamics of MHI was determined using Sentinel-2 imagery data from 2015, 2018 and 2023. Meanwhile, a series of extensive survey in 15 transects with a total of 75 plots were conducted to obtain field data. The results showed that Rhizophora apiculata Blume and R. mucronata Lam. were the most important species with Important Value Index (IVI) of 140.91 and 148.24, respectively. Meanwhile, Sentinel-2 image processing results revealed a major increase in mangrove’s area, from 643.35 ha in 2015 to 737.51 ha in 2023. Furthermore, MHI analysis indicated improving conditions of mangrove ecosystem, as evidenced by the significant increased of mangroves area at the excellent MHI category (MHI>66.8) from 11.00 ha in 2015 to 175.86 ha in 2023. Based on Principal Component Analysis (PCA) several environmental parameters were strongly correlated to MHI including salinity, DO, TSS and mangrove’s diversity index. The findings of this study, primarily the application of MHI approach, may provide an alternative strategy for monitoring the dynamics of vegetation cover of mangrove forest in Teluk Pangpang and other mangrove areas in Indonesia.

Effects of disturbances on the spatiotemporal patterns and dynamics of coastal wetland vegetation

The coastal wetlands represented by mangroves are vulnerable to disturbances. To clarify the effects of disturbances quantitatively on mangroves, spatiotemporal changes in land use and land cover (LULC) were compared between the inside and outside of mangroves during 1988 and 2020 in Bangladesh by remote sensing. The mangrove region, which had diverse surface greenness due to natural and anthropogenic disturbances, were surveyed. Changes in greenness were estimated by five vegetation indices (VIs). To increase in the accuracy of land use classification, the five VIs were combined under a random forest (RF) classifier. The five VIs were: normalized difference vegetation index (NDVI), green NDVI (GNDVI), soil-adjusted VI (SAVI), green–red VI (GRVI) and enhanced VI (EVI), using data obtained from Landsat TM (30 m resolution) and Sentinel-2A (10 m) via Google Earth Engine. A Moran’s I analysis showed a random pattern of training samples of LULC classes for integrated RF classification. The classification accuracy was evaluated using the reference point data with multiple comparisons of VIs and κ coefficient. The area was classified into eight LULC classes. Although the respective VIs depicted unique characteristics, the accuracies of them were less than 89 %. The integrated classifier improved the accuracy of 96–97 % with κ of 0.96 in 1988 and 0.97 in 2020. The VI-integrated RF was the most effective classifier for LULC, particularly for separating mangroves from homestead vegetation. The changes for 32 years showed that the dense mangrove occupied 42 % of surveyed area in 1988 but declined ca 622 km2 in 2020, whereas sparse mangrove and aquaculture increased by 487 km2 and 464 km2, respectively, out of the total area of 8,360 km2. The changes in LULC classes were mostly from dense mangroves to sparse mangroves, sparse mangroves to dense mangroves and from cropland to bare land and aquaculture. Inaccessible mangrove degradation should result from natural disturbances, i.e., tropical cyclones, while areas near forest boundaries were distorted by anthropogenic disturbances such as aquaculture development. The restoration of habitat quality, mangrove afforestation and sustainable aquaculture practices were effective indicators for improving the mangrove ecosystems. Since natural and anthropogenic disturbances induce substantial loss of mangrove vegetation, the VI-integrated RF classifier should be applied for monitoring LULC and for developing the sustainable management strategies.

Chemical evaluation and bioactivity of humic substances isolated from the mangrove ecosystem

Mangroves are an ecosystem that features dark colored sediment, rich in organic matter, with humic substances as its main component, which were the target of this work that aimed to characterize those humic substances chemically and spectroscopically and compare the biological activity of different humic materials isolated from mangrove areas with different levels of anthropic interference (Maria Ortiz high and Canal dos Escravos low). The chemical and spectroscopic characterization of the humic materials was performed through the analysis of elemental composition, E4/E6 ratio, fluorescence intensity and infrared and their biological activity was tested by evaluating changes in the root growth of corn seedlings in hydroponics. The humic materials, from the Maria Ortiz area, presented higher values in the C/N ratio, higher values in the fluorescence index and lower values in the E4/E6 ratio, when compared with the humic materials from the area of Canal dos Escravos. The absorption bands of the infrared spectrum indicated similarities with respect to the chemical functionality of the humic materials, however, it was possible to notice clear differences between the study areas. All humic materials promoted, in general, changes in the root architecture of corn seedlings when compared to the control treatment. This work shows that there are differences in the chemical and spectroscopic characteristics and in the biological activity of the studied humic materials, demonstrating that the anthropic activity alters the quality of the organic matter of the mangrove sediments, which may interfere in the survival and development of the mangrove forests.

Development of Dioramas Using 3D Media on Class X Mangrove Forest Ecosystem Materials in MA Darul Muta'allimin Patianrowo Nganjuk

The development of diorama media aims to increase teachers' creativity and optimize media use skills in the learning process. The purpose of this study is to describe the results of 3D diorama media validation on mangrove forest ecosystem materials according to material experts and media experts. The method used is RnD by not carrying out the dissemination stage. This is due to limited time and cost. The instruments used are material validation questionnaires and learning media. This development research uses a combination of quantitative data analysis and qualitative data analysis techniques where the scores of validation results by material experts, media experts and response scores from students are analyzed descriptively. The results of the discussion and based on the results of the analysis, it can be concluded that the Results of the Validation of 3D Diorama Media on Mangrove Forest Ecosystem Materials from the results of the validation of material experts received very valid criteria with a percentage of 92.5% each. The results of the validation of 3D Diorama Media on Mangrove Forest Ecosystem Materials from the results of the validation of the Material Expert received very valid criteria with a percentage of 95.45%.

The impact of settleable atmospheric particulate on the energy metabolism, biochemical processes, and behavior of a sentinel mangrove crab

We use the sentinel mangrove crab, Minuca rapax, as a model to investigate the effects of metallic settleable particulate matter (SePM) on wetland. Multiple levels of energetic responses, including (i) metabolic rate and energy budget, (ii) oxidative stress, and (iii) behavioral response by righting time, were assessed as well as the metal and metalloid content in crabs exposed to 0, 0.1 and 1 g.L−1 of SePM, under emerged and submerged conditions over five days, simulating the rigors of the intertidal habitat. Al, Fe, Mn, Cr, and Y exhibited a concentration-dependent increase. Metal concentrations were higher in submerged crabs due to the continuous ingestion of SePM and direct exposure through gills. Exposure concentration up to 1 g.L−1 decreased metabolic rate and enzymatic activities, reduced assimilation efficiency and energy for maintenance, and induces a slower response to righting time, probably by metal effects on nervous system and energy deficits. In conclusion, SePM exposure affects the redox status and physiology of M. rapax depending on he submersion regime and SePM concentration. The disruption to the energy budget and the lethargic behavior in M. rapax exposed to SePM implies potential ecological alterations in the mangrove ecosystem with unknown consequences for the local population.

Pattern of total organic carbon in sediments within the mangrove ecosystem

Pattern of total organic carbon in sediments within the mangrove ecosystem

Extraction of 10 m Resolution Global Mangrove in 2022

With the intensification of global climate change, there is an increasing emphasis on protecting natural resources. Mangrove forests, critical to tropical and subtropical intertidal ecosystems, have garnered considerable attention in recent years for their strong carbon sink capacity, rich species diversity, and abundant natural resources. This study utilizes the 2020 global mangrove vector data as a baseline to construct a reasonable buffer zone by calculating the increase in mangrove crown width. The Google Earth Engine (GEE) platform and its Sentinel-2 data from 2022 are employed to acquire synthetic images across all regions using the mosaic algorithm. Then, mangrove forests are extracted using the Otsu algorithm, and a map depicting the global spatial distribution of mangrove forests in 2022 is obtained. The average overall accuracy of the extracted mangrove forests in this study reaches 92.4%, and it is determined that the global mangrove forest area expanded by 4920.6 km2 between 2020 and 2022, This study provides crucial data support for the global monitoring of mangrove changes and holds significant importance for protecting and restoring mangrove ecosystems.