scholarly journals Community mapping and vegetational analysis of the mangrove forest in Calabanga, San Miguel Bay, Philippines

2020 ◽  
Vol 147 ◽  
pp. 02017
Author(s):  
Agnes Zafe Faustino ◽  
Helen Lonsamia Madela ◽  
Richard Gavina Castor ◽  
Alvin Paredes Muroda ◽  
Marian Nena Parato Chavez
Keyword(s):  
Mangrove Forest ◽  
Forest Cover ◽  
Environmental Parameters ◽  
Management Plan ◽  
Mangrove Forests ◽  
Mangrove Species ◽  
Rhizophora Apiculata ◽  
Illegal Activities ◽  
Laws And Policies ◽  
Philippine Government

Mangrove forests in Philippines have been noted for years to be continuously dwindling in terms of forest cover and diversity. The reasons behind these unfortunate events are the unabated illegal activities in the mangroves albeit the enforcement of laws and policies pertaining to its conservation and rehabilitation. For several decades, the Philippine government had been implementing programs and projects aiming to bring back the once pristine and productive mangrove areas through reforestation of denuded areas in the country. However, assessment is needed to evaluate whether these efforts have positively impacted coastal areas. This paper presents the current vegetational condition of selected reforested mangrove areas in Calabanga, San Miguel Bay, Philippines. Fifty-six (56) quadrats measuring 10x10m were established strategically in four (4) randomly selected rehabilitated mangrove sites. The overall results show that ten (10) mangrove species were recorded and Rhizophora apiculata and Rhizophora mucronata got the highest importance values of 111.59 and 105.96 respectively. This only shows that mono-specific mangrove species were considered during the rehabilitation of the areas set aside the environmental parameters affecting survival rate and the ecological diversity of the mangrove forest. A framework was developed to guide the local government in developing their sustainable mangrove management plan.

scholarly journals KEANEKARAGAMAN JENIS MANGROVE DI DESA MENDALOK KECAMATAN SUNGAI KUNYIT KABUPATEN MEMPAWAH

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

scholarly journals MIKOKO: A Data Sharing Platform On Kenyan Mangrove Species 

2019 ◽  
Vol 3 ◽  
Author(s):  
Juliana Prosperi ◽  
Alexander Kathuku ◽  
Pierre Grard
Keyword(s):  
Citizen Science ◽  
Forest Cover ◽  
Open Data ◽  
High Water ◽  
Mangrove Ecosystem ◽  
Management Plan ◽  
Forest Service ◽  
Mangrove Forests ◽  
African Region ◽  
Mangrove Species

The Mangrove ecosystem offers a range of benefits and opportunities for local and national economic development such as fisheries, shoreline stability, and resource sustainability hence they should be protected and conserved. In Kenya Mangroves were declared government reserve forests by the Proclamation No. 44 of 30th April 1932, and later by Legal Notice No. 174 of 20th May 1964. Under this “Gazette Notification for Mangrove Forests in Kenya” all land between high water and low water marks (ordinary spring tides) are described as mangrove areas. These forests cover about 61,279ha representing approximately 3% of the natural forest cover or less than 1% of the national land area. Mangrove forests are found in tidal estuaries, creeks, and protected bays along the 536 km long Kenyan coastline that extends from the Kenya-Tanzania border in the south to the Kenya-Somalia border in the north; between latitudes 1°40΄S and 4°25΄S and longitudes 41°34΄E and 39°17΄E. Mikoko (Mangrove in Swahili) is the first project specifically developed for mangrove areas in Kenya. Driven by the Kenya Forest Service, the project takes into account the recommendations of the National Mangrove Ecosystem Management Plan 2017-2027. For effective management of mangroves in the country, the Plan is organised around six programmes including; forest conservation and utilization; fisheries development and management; community; tourism development; research and education; and human resource and operations. These programmes prescribe measures for rehabilitation, conservation, and sustainable management of mangrove ecosystems in Kenya. Implementations of this Plan will be led by Kenya Forest Service (KFS); but will also include other key actors such as Kenya Wildlife Service, State Department of Fisheries, Research Institutions, Academia and Community Forest Associations through a specially constituted National Mangrove Advisory Committee. The project is for a 2-year period during which it shall develop an effective system for management of mangrove resources in Kenya. This will be done through the development of management prescriptions, skills improvement and provision of adequate infrastructure as recommended by the mangrove plan. Biodiversity information on mangroves, covering species descriptions and distribution, is essential for understanding the ecology and distribution of this endangered ecosystem and its management. Nowadays, very few is done in that domain. If the mangroves location are well know, it's not the case regarding the species distribution. Citizen science is a way to address this important issue. MIKOKO, a French FSPI funded project, is focused on Kenya to develop species information systems on mangrove species. Mikoko aims to assimilate knowledge through its participatory portal to strengthen a science and technology network of stakeholders such as scientists and parataxonomists in the African region. The portal platform will contain a Citizen Science module, a graphic driven species identification module, a species pages module conforming to Species Profile Model and a spatial module. Subscribing to open data paradigm, all the data on the portal will be covered by Creative Commons license framework. Mobile applications for identifying 60 plant species and contributing to citizen science module will be deployed. The oral presentation will expose the portal features and related apps seeking participation from the environmentalists from the African region.

scholarly journals ANALISIS KESESUAIAN EKOSISTEM MANGROVE SEBAGAI KAWASAN EKOWISATA DI PULAU KELAPAN KABUPATEN BANGKA SELATAN

2020 ◽  
Vol 5 (2) ◽  
pp. 132-142
Author(s):  
Arthur Muhammad Farhaby ◽  
Andi Abdullah ◽  
Carmila Carmila ◽  
Edward Arnanda ◽  
Emi Atika Nasution ◽  
...  
Keyword(s):  
Environmental Parameters ◽  
Mangrove Ecosystem ◽  
Mangrove Forests ◽  
Rhizophora Mucronata ◽  
Mangrove Species ◽  
Purposive Sampling ◽  
Rhizophora Apiculata ◽  
Xylocarpus Granatum ◽  
Suitability Index ◽  
The Village

Pulau Kelapan secara geografis terletak pada 2?50’59.000’’ LS dan 106?50’31.000’’ BT.Pulau Kelapan terletak di desa Kumbung, Kecamatan Lepar Pongok, Kabupaten Bangka Selatan. Pulau ini dikelilingi oleh hutan mangrove yang masih alami dan keberadaannya memang dijaga oleh masyarakat Pulau Kelapan.Kawasan hutan mangrove Pulau Kelapan memiliki potensi untuk dikembangkan menjadi destinasi ekowisata mangrove. Penelitian ini bertujuan untuk mengetahui kesesuaian lahan mangrove di Pulau Kelapan untuk dikembangkan sebagai lokasi wisata. Data yang diambil meliputi data kesesuaian wisata mangrove seperti parameter vegetasi dan lingkungan. Penelitian ini dilakukan pada bulan November 2019 di Pulau Kelapan, Kabupaten Lepar Pongok, Kabupaten Bangka Selatan. Stasiun pengamatan dalam penelitian ditentukan dengan metode purposive sampling, dimana membagi pulau kelapan ke dalam 4 stasiun pengamatan. Hasil penelitian menunjukkan bahwa Indeks Kesesuaian Wisata (IKW) untuk ekowisata mangrove di Pulau Kelapan pada stasiun 1 termasuk dalam kategori sangat cocok (S1) dengan nilai IKW 79% dan yang termasuk kategori sesuai (S2) ditemukan di stasiun 2.3 dan 4 dengan nilai IKW masing-masing adalah 51%, 66 % dan 74%. Jenis mangrove yang ditemukan di Pulau Kelapan adalah Rhizophora apiculata, Rhizophora mucronata, Xylocarpus granatum yang tersebar di setiap stasiun pengamatan.SUITABILITY ANALYSIS OF MANGROVE ECOSYSTEM AS ECOTOURISM AREAS IN KELAPAN ISLAND, SOUTH BANGKA DISTRICT. The Kelapan Island is geographically located at 2?50’59,000 ’’ LS and 106?50’31,000 ’’ BT. Kelapan Island located in the village Kumbung, District Lepar Pongok, South Bangka Regency. The island is surrounded by a natural mangrove forests and its existence is maintained and managed by local communities Kelapan island mangrove forest area has the potential to be developed into a mangrove eco-tourism destination. This study aims to determine the suitability of mangrove area in Kelapan Island to be developed as an ecotourism location. The research data includes the suitability index of mangrove tourism such as vegetation and environmental parameters. This research was conducted on November 2019 on Kelapan Island, Lepar Pongok, South Bangka Regency. The observation stations in the study were determined by the purposive sampling method, which divides the Kelapan islands into 4 observation stations. The results showed that the index of Conformity Tourism (IKW) for ecotourism mangroves on the Kelapan Island at station 1 were included in the category of very suitable (S1) with IKW 79% and are categorized accordingly (S2) were found in the station 2.3 and 4 with the value of IKW of 51%, 66% and 74%. Mangrove species found on the Kelapan Island was Rhizophora apiculata, Rhizophora mucronata, Xylocarpus granatum found in each observation station.

scholarly journals 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

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

scholarly journals Distribusi Scylla spp. di perairan estuari Sungai Donan Segara Anakan Bagian Timur, Cilacap

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Sulistiono Sulistiono ◽  
Nurul Musyariafah Yahya ◽  
Etty Riani
Keyword(s):  
Economic Value ◽  
Scylla Serrata ◽  
Mangrove Forests ◽  
Mud Crab ◽  
Mangrove Species ◽  
Central Java ◽  
Rhizophora Apiculata ◽  
Mangrove Ecosystems ◽  
Avicennia Alba ◽  
Mangrove Crabs

Mangrove forests are ecosystems that make up coastal areas and river estuaries. The examples of mangrove ecosystems found in Indonesia are in Segara Anakan, Central Java. One of the aquatic biota with the economic value found in the mangrove forest ecosystem is the mud crab (Scylla spp.). The purpose of this study was to assess the distribution of mangrove crabs (Scylla spp.) to the presence of mangrove species in the mouth of the Donan River, Segara Anakan. A sampling of crabs and observations of mangrove vegetation were carried out at five stations spread from the river to the sea. The results showed that there were three types of mangrove crabs caught in the vicinity of the study, namely Scylla tranquebarica, S. olivacea, and S. serrata. The types of mangroves found include Rhizophora apiculata, R. mucronata, Avicennia rumphiana, A. alba, A. officinalis, and Nypa. Regression analysis showed that mangrove density correlated with the abundance of Scylla tranquebarica and Scylla olivacea, but contradicts the abundance of Scylla serrate. PCA analysis showed that the Crab species Scylla tranquebarica and Scylla olivacea were associated with mangroves of Avicennia alba, Avicennia rumphiana, and Rhizophora apiculata. Meanwhile, Scylla serrata crabs are associated with Avicennia officinalis.

scholarly journals MACHINE LEARNING-BASED MANGROVE LAND CLASSIFICATION ON WORLDVIEW-2 SATELLITE IMAGE IN NUSA LEMBONGAN ISLAND

2018 ◽  
Vol 14 (2) ◽  
pp. 159 ◽  
Author(s):  
Aulia Ilham ◽  
Marza Ihsan Marzuki
Keyword(s):  
Machine Learning ◽  
Satellite Image ◽  
Image Data ◽  
Information Criterion ◽  
Mangrove Forests ◽  
Mangrove Species ◽  
Rhizophora Apiculata ◽  
Distribution Type ◽  
Non Linear System ◽  
Image Data Classification

Machine learning is an empirical approach for regressions, clustering and/or classifying (supervised or unsupervised) on a non-linear system. This method is mainly used to analyze a complex system for  wide data observation. In remote sensing, machine learning method could be  used for image data classification with software tools independence. This research aims to classify the distribution, type, and area of mangroves using Akaike Information Criterion approach for case study in Nusa Lembongan Island. This study is important because mangrove forests have an important role ecologically, economically, and socially. For example is as a green belt for protection of coastline from storm and tsunami wave. Using satellite images Worldview-2 with data resolution of 0.46 meters, this method could identify automatically land class, sea class/water, and mangroves class. Three types of mangrove have been identified namely: Rhizophora apiculata, Sonnetaria alba, and other mangrove species. The result showed that the accuracy of classification was about 68.32%.

scholarly journals Vegetative structure and zonal distribution of true mangroves in Shwe-Thaung-Yan coastal areas, Myanmar

2021 ◽  
Vol 10 (1) ◽  
pp. 33-39
Author(s):  
Soe- Win
Keyword(s):  
Environmental Parameters ◽  
Iucn Red List ◽  
Coastal Areas ◽  
Red List ◽  
Mangrove Forests ◽  
Zonation Pattern ◽  
Zonal Distribution ◽  
Rhizophora Apiculata ◽  
Bruguiera Gymnorhiza ◽  
Point Center

The survey was conducted in the mangrove forests around the Magyi and Utto Creeks at Shwe-Thaung-Yan coastal areas in Ayeyarwady Delta region, April 2018. Transect lines were laid as lower, middle and upper, and quadrate plots based on Point Center Quarter Method (PCQM) P-DATA PRO were used. A total of 15 species of true mangrove was recorded. Rhizophora apiculata and Bruguiera gymnorhiza are the most dominant and distributed species in the study area. Followed by Bruguiera sexangulata, Cerop tagal and Rhizophora mucronata then remaining species. Zonation pattern of mangroves species as lower, middle, upper was also examined in study areas. Among than 1 species in Near Threaten (NT), 1 species in Critically Endangered (CR), 1 species in Endangered (EN) and remaining species are Least Concern (LC) had been considered according with IUCN red list. The environmental parameters such as water salinity and temperature, soil salinity, soil temperature and soil pH of study area were also recorded.

Laju Dekomposisi Serasah Daun di Ekosistem Bakau Pulau Kelong, Kabupaten Bintan

2016 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
I Wayan Eka Dharmawan ◽  
Neviaty P. Zamani ◽  
Hawis H. Madduppa
Keyword(s):  
Leaf Litter ◽  
Decomposition Rate ◽  
Substrate Surface ◽  
Environmental Parameters ◽  
Mangrove Ecosystem ◽  
Mangrove Forests ◽  
Mangrove Species ◽  
Southeastern Part ◽  
Regional Productivity ◽  
High K

<strong>Decomposition Rate of Leaf Litter in The Mangrove Ecosystem of Kelong Island, Bintan Regency.</strong> The mangrove forests in the southeastern part of Kelong Island have abundant carbon reserves that indicate high primary productivity areas. Decomposition of leaf litter, as a part of regional productivity, produces simple essential nutrients utilized to sustain the growth of mangroves. The purpose of this study was to determine the decomposition rate of leaf litter in each zone of the study, the Landward (L), Middlezone (M), and Seaward (S) which is distinguished by the abundance of plant species and in situ environmental parameters. The experiment was conducted in March–May 2015 in the mangrove areas of Island Kelong, Bintan regency. The decomposition process was observed at six time intervals, i.e. 2, 4, 7, 14, 28, and 42 days using net bag containing 10 g of wet leaves placed on the substrate surface. The results showed that L was a zone with highest percentage of decomposition (56.34 ± 20.58%) compared to the M and S, respectively for 51.59 ± 15.46% and 51.09 ± 8.70%. The highest rate of litter decomposition in zone L was 1.40 ± 0.82 g·m-2·day-1 that was significantly different from the zones M and S, respectively of 0.83 ± 0.89 g·m-2·day-1 and 0.78 ± 0.70 g·m-2·day-1.  Analysis of the coefficient of decomposition rate (k) indicated that the rate of decomposition in this region was high (k &gt; 0.01). The decomposition rate has a significant correlation with the abundance of mangrove species, the salinity value of the water, and soil temperature.

scholarly journals Degradation level of mangrove forest and its reduction strategy in Tabongo Village, Boalemo District, Gorontalo Province, Indonesia

2017 ◽  
Vol 1 (1) ◽  
pp. 18-22
Author(s):  
ABUBAKAR SIDIK KATILI ◽  
MUSTAMIN IBRAHIM ◽  
ZULIANTO ZAKARIA
Keyword(s):  
Mangrove Forest ◽  
Forest Type ◽  
Descriptive Analysis ◽  
Economic Value ◽  
Mangrove Forests ◽  
Rhizophora Mucronata ◽  
Educational Approach ◽  
Quantitative Descriptive Analysis ◽  
Reduction Strategy ◽  
Rhizophora Apiculata

Katili AS, Ibrahim M, Zakaria Z. 2017. Degradation level of mangrove forest and its reduction strategy in Tabongo Village, Boalemo District, Gorontalo Province, Indonesia. Asian J For 1: 18-22. This research aimed to assess the degradation level of mangrove forest and to develop strategy to reduce the degradation level. The overall research duration was 1 year, focusing on identification of mangrove forests degradation level, exploration of mangrove vegetation structure and preparation for mangrove degradation reduction strategy. The research was located in Tabongo Village, Dulupi Sub-district, Boalemo District, Gorontalo Province. The method used in the research was explorative survey, while the data analysis was done with quantitative descriptive analysis. The collecting method used was point quarter centered meter (PQCM) method. The degradation level of mangrove forest was analyzed by standard criteria of mangrove destruction according to Ministerial Decree of State Minister for The Environment (Kepmen. LH) No. 201 in 2004. Results showed that there are 4 species of mangrove plants in Tabongo Village, Dulupi Sub-district namely Rhizophora apiculata Blume, Rhizophora mucronata Lamk., Ceriops tagal (Perr) C.B.Rob, and Bruguiera which included in the Rhizophoraceae family. Rhizophora apiculata had the highest IVI value at the stage of tree and sapling, while Rhizophora mucronata Lamk had the highest IVI value at the stage of seedling. Tabongo mangrove area was a Scrub or dwarf forest type generally. This type was classified as a typical mangrove found in low edges. The mangrove condition in the coastal area of Tabongo Village, Boalemo, was categorized as broken (TNS1 = 210). While based on Assessment of criticality level of mangrove land based on the way teristris, formula was categorized as not broken (TNS2= 330). The reduction strategy that could be implemented to recover the quality of mangrove areas include (i) the assessment of the importance of the mangrove areas with regard to their ecological and economic value, (ii) quality improvement of mangrove habitat, (iii) educational approach by making the mangrove areas as learning media and source, and (iv) empowerment of people living around the mangrove areas.

scholarly journals Gastropods In Mangrove Forest Of Tongkeina Village, Bunaken Sub-District, City Of Manado

2019 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Dewanti Y Talumingan ◽  
Ferdinand F. Tilaar ◽  
Jety K. Rangan ◽  
Maartinus M Baroleh ◽  
Victor N. R. Watung ◽  
...  
Keyword(s):  
Distribution Pattern ◽  
Mangrove Forest ◽  
Distribution Patterns ◽  
Common Species ◽  
Line Transect ◽  
Sampling Point ◽  
Mangrove Forests ◽  
Mangrove Species ◽  
Long Line ◽  
Made In

This research aims to determine the types or species of gastropod and its distribution in mangrove forests in Tongkeina village and to know the species of mangrove in Tongkeina village. The Research was conducted on one sampling point with one 100 meters long line transect which was is laid perpendicular to the outer direction of the mangrove.  To collect gastropod samples, three quadrates with a size of 10x10meters with a distance between the quadrate 5 meters were made. In the quadrate, 15 subquadrates sized 1x1meters were also made. Based on the results, there were 6 species of gastropods and two distribution patterns of i.e., Cluster the species of the Littoraria scabra, Angustassiminea castanea, Terebralia sulcate. The uniform distribution pattern is Ischinocerithium rostratum, Caliostoma jujubinum, and Nerita senegalensis. There are ten mangrove species found and  the most common species is Soneratia alba with a total of 27 individuals.Keywords: Gastropods, forest, Mangrove, Tongkeina village ABSTRAKPenelitian ini bertujuan untuk mengetahui Jenis-jenis gastropoda serta persebaran pada hutan mangrove di Kelurahan Tongkeina dan untuk mengetahui Jenis-jenis mangrove di Kelurahan Tongkeina. Penelitian hanya di lakukan satu titik pengambilan sampel dimana dibuat 1 line transek dengan Panjang 100meter yang di tarik tegak lurus dari arah terluar mangrove kemudian dibuat 3 kuadrat dengan ukuran 10x10meter dengan jarak antara kuadrat 5 meter, dan di dalam kuadrat dibuat 15 subkuadrat berukuran 1x1 meter. Berdasarkan penelitian hasil ditemukan ada 6 spesies gastopoda dan dua pola persebaran Gastropoda yaitu mengelompok dan seragam, spesies mengelompok yaitu Littoraria scabra, Angustassiminea castanea, Terebralia sulcate. Pola persebaran seragam yaitu Ischinocerithium rostratum, Caliostoma jujubinum, Nerita senegalensis. Mangrove ditemukan 10 Spesies yang terbanyak adalah Soneratia alba dengan jumlah 27 individu.Kata kunci: Gastropoda, Hutan, Mangrove, Kelurahan Tongkeina.

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