Ecological relations between mangrove leaf litter and the spatial distribution of the gastropod Melampus coffeus in a fringe mangrove forest

Leaf litter represents a food source to many organisms that may directly contribute to organic matter decomposition. In addition, the physical presence of these vegetal detritus contributes for the modification of some environmental areas and produce microhabitats that may act as a refuge against predators and desiccation for many animals. The pulmonate gastropod Melampus coffeus (Linnaeus, 1758) (Ellobiidae) is a very common specie in Atlantic Coast mangrove forests and feeds on fallen mangrove leaves. It was hypothesized that the spatial distribution of Melampus coffeus is directly affected by mangrove leaf litter biomass deposition. Thus, this research aimed at evaluating the spatial distribution of these gastropods in relation to the biomass of mangrove leaf litter through a twelve-month period. The study area was established in the middle estuary of Pacoti River, state of Ceará, Brazil where two adjacent zones with different topographic profiles were determined. Samples of Melampus coffeus and leaf litter were collected monthly, throughout a year, from the mangrove ground surface. The results indicated that the presence of twigs in mangrove litter favor the occupation by smaller individuals of M. coffeus, probably because smaller individuals are more susceptible to predator attacks and desiccation than larger ones, and twigs and branches may provide a safe microhabitat.

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Economic value analysis of mangrove forest ecosystems in Sorong, West Papua Province

AQUATIC SCIENCE & MANAGEMENT ◽

10.35800/jasm.0.0.2014.7305 ◽

2014 ◽

pp. 39

Author(s):

Roger R Tabalessy

Keyword(s):

Mangrove Forest ◽

Economic Value ◽

Forest Degradation ◽

Primary Data ◽

Mangrove Forests ◽

Value Analysis ◽

Human Needs ◽

The People ◽

West Papua ◽

Mangrove Wood

Coastal areas can either meet the human needs or give great contribution to the development. However, rapid infrastrural development in Sorong, west Papua, has been followed by high demand for mangrove timber and caused mangrove forest degradation due to exploitation. This exploitation could also result from high economic value of the mangrove timber. This study was done to analyze the economic value of mangrove wood utilized by the people to support the development process in Sorong. This study used primary data obtained through interviews and the economic value calculation of mangrove forests. It found that Sorong had mangrove economic value of IDR 165,197,833, 491. Wilayah pesisir selain dapat memenuhi kebutuhan hidup manusia juga memberikan kontribusi yang besar bagi pembangunan. Cepatnya pembangunan infrastruktur di Kota Sorong diikuti pula dengan tingginya permintaan akan kayu mangrove dan menyebabkan terjadinya degradasi hutan mangrove akibat eksploitasi. Eksploitasi ini disebabkan juga akibat kayu mangrove memiliki nilai ekonomi. Penelitian yang dilakukan ini bertujuan untuk menganalisis nilai ekonomi kayu mangrove yang dimanfaatkan oleh masyarakat Kota Sorong dalam proses menunjang pembangunan. Penelitian ini menggunakkan data primer yang diperoleh melalui hasil wawancara dan perhitungan nilai ekonomi hutan mangrove. Hasil penelitian ini menunjukkan nilai ekonomi ekosistem hutan mangrove yang berada di Kota Sorong adalah Rp165.197.833.491.

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Mangrove Forest Landcover Changes in Coastal Vietnam: A Case Study from 1973 to 2020 in Thanh Hoa and Nghe An Provinces

Forests ◽

10.3390/f12050637 ◽

2021 ◽

Vol 12 (5) ◽

pp. 637

Author(s):

Huong Thi Thuy Nguyen ◽

Giles E. S. Hardy ◽

Tuat Van Le ◽

Huy Quoc Nguyen ◽

Hoang Huy Nguyen ◽

...

Keyword(s):

Mangrove Forest ◽

Monsoon Season ◽

Coastal Development ◽

Northern Coast ◽

Mangrove Forests ◽

Visual Interpretation ◽

Mangrove Restoration ◽

Coast Of Vietnam ◽

Landsat Satellite

Mangrove forests can ameliorate the impacts of typhoons and storms, but their extent is threatened by coastal development. The northern coast of Vietnam is especially vulnerable as typhoons frequently hit it during the monsoon season. However, temporal change information in mangrove cover distribution in this region is incomplete. Therefore, this study was undertaken to detect change in the spatial distribution of mangroves in Thanh Hoa and Nghe An provinces and identify reasons for the cover change. Landsat satellite images from 1973 to 2020 were analyzed using the NDVI method combined with visual interpretation to detect mangrove area change. Six LULC classes were categorized: mangrove forest, other forests, aquaculture, other land use, mudflat, and water. The mangrove cover in Nghe An province was estimated to be 66.5 ha in 1973 and increased to 323.0 ha in 2020. Mangrove cover in Thanh Hoa province was 366.1 ha in 1973, decreased to 61.7 ha in 1995, and rose to 791.1 ha in 2020. Aquaculture was the main reason for the loss of mangroves in both provinces. Overall, the percentage of mangrove loss from aquaculture was 42.5% for Nghe An province and 60.1% for Thanh Hoa province. Mangrove restoration efforts have contributed significantly to mangrove cover, with more than 1300 ha being planted by 2020. This study reveals that improving mangrove restoration success remains a challenge for these provinces, and further refinement of engineering techniques is needed to improve restoration outcomes.

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Assessing the Natural Recovery of Mangroves after Human Disturbance Using Neural Network Classification and Sentinel-2 Imagery in Wunbaik Mangrove Forest, Myanmar

Remote Sensing ◽

10.3390/rs13010052 ◽

2020 ◽

Vol 13 (1) ◽

pp. 52

Author(s):

Win Sithu Maung ◽

Jun Sasaki

Keyword(s):

Neural Network ◽

Change Detection ◽

Transfer Learning ◽

Mangrove Forest ◽

Kappa Coefficient ◽

Mangrove Forests ◽

Ann Model ◽

Shrimp Ponds ◽

Natural Recovery ◽

Sentinel 2

In this study, we examined the natural recovery of mangroves in abandoned shrimp ponds located in the Wunbaik Mangrove Forest (WMF) in Myanmar using artificial neural network (ANN) classification and a change detection approach with Sentinel-2 satellite images. In 2020, we conducted various experiments related to mangrove classification by tuning input features and hyper-parameters. The selected ANN model was used with a transfer learning approach to predict the mangrove distribution in 2015. Changes were detected using classification results from 2015 and 2020. Naturally recovering mangroves were identified by extracting the change detection results of three abandoned shrimp ponds selected during field investigation. The proposed method yielded an overall accuracy of 95.98%, a kappa coefficient of 0.92, mangrove and non-mangrove precisions of 0.95 and 0.98, respectively, recalls of 0.96, and F1 scores of 0.96 for the 2020 classification. For the 2015 prediction, transfer learning improved model performance, resulting in an overall accuracy of 97.20%, a kappa coefficient of 0.94, mangrove and non-mangrove precisions of 0.98 and 0.96, respectively, recalls of 0.98 and 0.97, and F1 scores of 0.96. The change detection results showed that mangrove forests in the WMF slightly decreased between 2015 and 2020. Naturally recovering mangroves were detected at approximately 50% of each abandoned site within a short abandonment period. This study demonstrates that the ANN method using Sentinel-2 imagery and topographic and canopy height data can produce reliable results for mangrove classification. The natural recovery of mangroves presents a valuable opportunity for mangrove rehabilitation at human-disturbed sites in the WMF.

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KOMPOSISI JENIS MANGROVE DAN PENGETAHUAN MASYARAKAT TERHADAP KAWASAN MANGROVE DESA SAYOANG, HALMAHERA SELATAN, MALUKU UTARA Mangrove Species Compotition and Community Knowledge of Mangrove Area in Sayoang Village, Distric of South Halmahera

Journal of Tropical Silviculture ◽

10.29244/j-siltrop.8.1.63-68 ◽

2017 ◽

Vol 8 (1) ◽

pp. 63-68

Author(s):

Omo Rusdiana ◽

Fajar Alif Sam Pangestu

Keyword(s):

Protected Areas ◽

Mangrove Forest ◽

Fish Habitat ◽

Mangrove Forests ◽

Mangrove Species ◽

Management Activity ◽

Community Knowledge ◽

Mangrove Area ◽

Total Respondent ◽

The Government

The area of mangrove forests in Indonesia is currently only spanning as much as 3.4 milion acres, so there is a need for the participation of the government and community to maintain its sustainability. South Halmahera is the district with the largest mangrove area in the North Maluku Province. One of the mangrove areas in the District of South Halmahera is located at Sayoang Village, East Bacan Subdistrict Up until its eleventh founding anniversary, this district have never conducted an inventorizing of its mangroves, both ecological and social studies in the field of public. This study aims to analyze the compotition of mangrove species in Sayoang Village, East Bacan Subdistrict, South Halmahera, and identify the knowledge of surrounding communities of mangrove areas as protected areas. Data were retrieved using sampling method with applications terraced paths, and analyzed by calculating its important value index (INP) and its index value diversity (IVD). The public social data were taken using in-depth interviews and questionnaires. Results obtained from this study show that the mangrove forest in Sayoang Village, East Bacan District, Halmahera, consists of major mangrove species with as many as eleven species belonging to families Rhizophoraceae, Sonneratiaceae, Avicenniaceae, Meliaceae and Myrtaceae, and as many as three species of minor mangrove belonging to families of Loranthaceae, Acanthaceae, and Pteridaceae. The mangrove's species diversity and richness is and low, but it has high evenness. The results showed that 60% of total respondents know the benefit of mangrove as fish habitat, while for mangrove area as conserving areas, 50% of total respondent don't know the status of the area. The cutting problems happened in mangrove areas, 90% of total respondent know the activity and 85% of total respondent think that the logging activities in mangrove area is still allowed. The management activity of mangrove area in Sayoang village hasn't been conducted, either by the community or by local Dinas Kehutanan, and 53% of total respondent still wishing the mangrove can give more benefit economically.Key words: Mangrove forest, mangrove protected areas, community knowledge

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KEANEKARAGAMAN JENIS MANGROVE DI DESA MENDALOK KECAMATAN SUNGAI KUNYIT KABUPATEN MEMPAWAH

JURNAL HUTAN LESTARI ◽

10.26418/jhl.v7i1.31251 ◽

2019 ◽

Vol 7 (1) ◽

Author(s):

Syahrul Muharamsyah ◽

M Sofwan Anwari ◽

Hafiz Ardian

Keyword(s):

Mangrove Forest ◽

Avicennia Marina ◽

Raw Material ◽

Mangrove Forests ◽

Bruguiera Gymnorrhiza ◽

Mangrove Species ◽

Rhizophora Stylosa ◽

Sonneratia Caseolaris ◽

Rhizophora Apiculata ◽

Bruguiera Cylindrica

Mangrove forests are unique ecosystems that have ecological, biological and socio-economic functions. The function of mangrove forests on the environment is very important especially in the coastal and oceanic regions. Mangrove forests providers of wood, leaves as raw material for medicines, and natural dye. This study aims to inventory the diversity of species of mangrove vegetation in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency. The benefits of this study are to provide the data on mangrove forest vegetation as basic data for local government and related agencies in efforts to protect and preserve mangrove forests in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency. Inventory the tree in mangrove forest used a line with measured 200 meters. There are 6 lines and the distance between the lines as far as 100 meters. The lines of observation are placed by purposive sampling. The results of research found 11 types of species and consisted of 6 genera. The genera are Avicennia, Bruguiera, Ceriops, Rhizophora, Soneratia and Xylocarpus. The species found were Avicennia alba, Avicennia marina, Bruguiera cylindrica, Bruguiera gymnorrhiza, Bruguiera parviflora, Ceriops decandra, Rhizophora apiculata, Rhizophora mucronata, Rhizophora stylosa, Sonneratia caseolaris, Xylocarpus mollucensis. Diversity of mangrove species in Mendalok Village, Sungai Kunyit Subdistrict, Mempawah Regency was high and should be maintained for conservation and ecotourism area. Keywords : conservation, ecotourism, mangrove, Mendalok Village

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Detection Of Community Knowledge Level Of Economic, Ecological Benefits And Causes Of Damage To Mangrove Forest Ecosystems

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/748/1/012017 ◽

2021 ◽

Vol 748 (1) ◽

pp. 012017

Author(s):

E Wahyuni ◽

Zulhafandi ◽

Hendris ◽

Jarin

Keyword(s):

Mangrove Forest ◽

Forest Ecosystems ◽

Mangrove Ecosystem ◽

Economic Benefits ◽

Household Waste ◽

Mangrove Forests ◽

Scoring Method ◽

Ecological Benefits ◽

Community Knowledge ◽

Breeding Sites

Abstract Mangrove forests are natural resources in coastal areas that have an important role in terms of social, economic and ecological aspects. However, the utilization of the mangrove ecosystem makes it vulnerable to damage. This study aims to determine the level of public knowledge of the economic, ecological benefits and damage that happened to mangrove areas in Tarakan City. The scoring method was used to determine the total score or the total score of the respondents’ answers, which amount to 50 people. that the community’s knowledge of the economic benefits of mangrove forests was categorized as know for the benefits of mangroves as firewood, mangrove areas as a place for settlement, mangroves as a place to get fish and mangrove benefits as aquaculture areas with total scores of 226, 200, 232,230 respectively. However, the level of community knowledge about the benefits of mangroves as a medicinal ingredient obtained a total score of 164, which means the level of community knowledge was in the doubtful category. While the level of community knowledge of the ecological benefits of mangrove forests as coastline guards, sea wave barriers, sea wind protectors, and animal breeding sites were included in the category of “Know” with a total score of 228, 224, 234, 240 respectively, but the level of knowledge The community regarding the benefits of mangroves that can manage household waste was in the “doubtful” category with a total score of 128. The community was aware of the damage to mangrove forest ecosystems caused by garbage, logging / mangroves, expanding aquaculture, settlements and increasing population. with a total score of 234,232, 210,228 and 200 levels of knowledge, respectively, which are included in the “Know” category.

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PERAN MASYARAKAT DESA SEJAHTERA DALAM PENGELOLAAN WISATA HUTAN MANGROVE DI KECAMATAN SUKADANA KABUPATEN KAYONG UTARA

JURNAL HUTAN LESTARI ◽

10.26418/jhl.v7i1.31190 ◽

2019 ◽

Vol 7 (1) ◽

Author(s):

. Wahyuti ◽

Iskandar A M ◽

Gusti Hardiansyah

Keyword(s):

Mangrove Forest ◽

National Park ◽

Descriptive Analysis ◽

Mangrove Forests ◽

Community Needs ◽

Implementation Evaluation ◽

Village Community ◽

Tourism Management ◽

Analysis Technique

The community role is needed in the implementation of mangrove forest tourism management, especially in planning activities. The role of the community is the involvement of community itself in the development activities, both in the planning, implementation, evaluation, and the stages of esnjoying the results of the development itself. The purpose in this descriptive qualitative study was to determine the role of community in managing mangrove forest tourism in the subdistrict of Sukadana of Kayong Utara regency. Data collection techniques consist of observation, interviews, and documentation. While the analysis was carried out with descriptive analysis technique. The results of this study indicate that the role of of the sejahtera village community in managing mangrove forest tourism is limited to the maintenance of natural resources, maintenance of cleanliness and nursery of mangrove forests. Due to mangrove forest management is still fully managed by The Gunung Palung National Park Agency, the role of the community in the management of tourism in mangrove forests is still low. Therefore, the involvement of the surrounding community needs special attention and other related parties in utilizing mangrove forest tourism.Keyword: community role, mangrove forest, themanagement of mangrove tourism

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Carbon Stock Estimation of Mangrove Forest in Village Margasari Sub-District Labuhan Maringgai District East Lampung

Jurnal Sylva Lestari ◽

10.23960/jsl1667-75 ◽

2018 ◽

Vol 6 (1) ◽

pp. 66 ◽

Cited By ~ 2

Author(s):

Cahyaning Windarni ◽

Agus Setiawan ◽

Rusita Rusita

Keyword(s):

Mangrove Forest ◽

Carbon Stock ◽

Dry Weight ◽

Co2 Concentration ◽

Line Transect ◽

Mangrove Forests ◽

First Line ◽

Average Biomass ◽

Stock Estimation ◽

Total Dry Weight

Increasing CO2 in the atmosphere and decreasing amount of forest as absorb CO2are factors which was the underlying repercussion of climate change. One of solutions for decreasing CO2 concentration through the forest vegetation’s development and emendation. Mangrove forest estimated that effectively absorb carbon through photosynthesis. The purpose of the studyis to estimate the stand and litter carbon stock of mangrove forest. The research used line transectmethod. The first line and plot determined randomly then the next lineand plots was sistematically. The observation plots had measurement with amount of 20m x 20m with spacing between plot in line 20 m with total 20 plots. Each plot was measured diameter just ≥ 5 cm. Each plot made observations litter sub plots with amount of 0,5 m x 0,5 m. Carbon estimation of stand biomass using allometric equations B = 0,1848D2.3624 and litter biomass using total dry weight. Carbon concentration of organic material typically contains around 46% thus multiplying the biomass by 46%. The average biomass of mangrove forests amounted to 431,78 tons/ha. Carbon estimated of mangrove stand was 197,36 ton/ha and litter carbon was 1,25 ton/ha, based on the research total of carbon mangrove forest was198,61 ton/ha. Keywords:carbon above ground,line transect, mangrove forest

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Mangrove Forest Classification in Drone Images Using HSV Color Moment and Haralick Features Extraction with K-Nearest Neighbor

Signal and Image Processing Letters ◽

10.31763/simple.v1i3.6 ◽

2019 ◽

Vol 1 (3) ◽

pp. 1-12

Author(s):

Agus Wahyu Widodo ◽

Deo Hernando ◽

Wayan Firdaus Mahmudy

Keyword(s):

Mangrove Forest ◽

Nearest Neighbor ◽

Classification Method ◽

Mangrove Forests ◽

K Nearest Neighbor ◽

Distance Method ◽

K Value ◽

Nearest Neighbor Classification ◽

Haralick Features ◽

Neighbor Classification

Due to the problems with uncontrolled changes in mangrove forests, a forest function management and supervision is required. The form of mangrove forest management carried out in this study is to measure the area of mangrove forests by observing the forests using drones or crewless aircraft. Drones are used to take photos because they can capture vast mangrove forests with high resolution. The drone was flown over above the mangrove forest and took several photos. The method used in this study is extracting color features using mean values, standard deviations, and skewness in the HSV color space and texture feature extraction with Haralick features. The classification method used is the k-nearest neighbor method. This study conducted three tests, namely testing the accuracy of the system, testing the distance method used in the k-nearest neighbor classification method, and testing the k value. Based on the results of the three tests above, three conclusions obtained. The first conclusion is that the classification system produces an accuracy of 84%. The second conclusion is that the distance method used in the k-nearest neighbor classification method influences the accuracy of the system. The distance method that produces the highest accuracy is the Euclidean distance method with an accuracy of 84%. The third conclusion is that the k value used in the k-nearest neighbor classification method influences the accuracy of the system. The k-value that produces the highest accuracy is k = 3, with an accuracy of 84%.

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Society’s Participation Model For Mangrove Rehabilitation in Cempa District, Pinrang Regency

UNM Geographic Journal ◽

10.26858/ugj.v2i1.5422 ◽

2019 ◽

Vol 2 (1) ◽

pp. 9

Author(s):

Nurul Azmi

Keyword(s):

Mangrove Forest ◽

Sampling Technique ◽

Mangrove Ecosystem ◽

Mangrove Forests ◽

Planning Stage ◽

Working Groups ◽

Level Of Knowledge ◽

Mangrove Rehabilitation ◽

The Government ◽

Forest Rehabilitation

This study aims to determine: 1) The level of society support in the rehabilitation of mangrove forests. 2) Model ofsociety participation in the rehabilitation of mangrove forests. The population in this study was 721 people, a sample was72 people. The sampling technique used is proportional random sampling. Data collection using observation techniques, interviews, and questionnaires. Data analysis using descriptive interpretative. The results showed that the level of knowledge and society support about mangrove forest rehabilitation is good enough. The model of society participation is that they are directly involved in the rehabilitation of mangrove forest starting from the planning stage, which is to provide aspirations in the form of concepts, ideas. Designing the concept to be implemented. Planting, they participates in the provision of seeds and planting. Establish working groups led by community leaders or chairmen of working groups. Maintenance, participate in mangrove csssare from the re-planting of mangroves that diaman dead and eradicate the pests that attack the mangrove seeds, and finally the Supervision, in this stage they forbid anyone to remove, cut the mangrove that has been planted. The government also participates in the supervision and make the rule of giving sanctions to those who deliberately destroy the mangrove ecosystem.

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