scholarly journals Configuration of Allocated Mangrove Areas and Protection of Mangrove-Dominated Muddy Coasts: Knowledge Gaps and Recommendations

2021 ◽  
Vol 13 (11) ◽  
pp. 6258
Author(s):  
Nguyen Tan Phong ◽  
Thai Thanh Luom
Keyword(s):  
Practical Knowledge ◽  
South East Asia ◽  
Mangrove Forests ◽  
Sediment Trapping ◽  
Mangrove Species ◽  
Second Stage ◽  
Seaward Side ◽  
Local Livelihoods ◽  
Full Consideration ◽  
Technical Recommendations

Mangrove-dominated muddy coasts have been allocated for developing livelihood models, particularly in developing countries. Uncontrolled allocation causes the mangrove forests to be vulnerable and even severely eroded. Restoration of vulnerable and eroded coastal areas has been merely conservation-driven, leaving livelihood-oriented mangrove forests unprotected. As a consequence, mangrove-dominated muddy coasts have not been well-protected. How livelihood-oriented mangrove forests are configured towards protecting coasts and protecting local livelihoods remains a challenge. This study employed a critical review for addressing this matter. The results reveal that there is limited practical knowledge of configuring livelihood-oriented models for protecting the coasts. The configuration process reported in this study is merely based on technical recommendations in South East Asia to date. The recommended configuration commences with the first stage of voluntarily designating a certain percentage of allocated forests on the seaward side to protect coasts, relocating livelihood models in the gaps among current stands of mangrove forests landward. Abandoned ponds are ecologically restored using sediment trapping structures for providing suitable substrate for promoting regrowth of local mangrove species as the second stage, followed by designation of an appropriate percentage as mangrove belts on the seaward side. The two-step configuration is highly likely to be replicable and applicable nationally and regionally due to full consideration of different political, sociocultural, and environmental characteristics in Vietnam and Indonesia.

scholarly journals Forest Structure and Projections of Avicennia germinans (L.) L. at Three Levels of Perturbation in a Southwestern Gulf of Mexico Mangrove

Forests ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 989
Author(s):  
Basáñez-Muñoz Agustín de Jesús ◽  
Jordán-Garza Adán Guillermo ◽  
Serrano Arturo
Keyword(s):  
Size Structure ◽  
Transition Probabilities ◽  
High Sensitivity ◽  
Avicennia Germinans ◽  
Mangrove Forests ◽  
Mangrove Species ◽  
Adult Trees ◽  
Mangrove Dynamics ◽  
Projection Matrices ◽  
Partial Tree

Mangrove forests have declined worldwide and understanding the key drivers of regeneration at different perturbation levels can help manage and preserve these critical ecosystems. For example, the Ramsar site # 1602, located at the Tampamachoco lagoon, Veracruz, México, consists of a dense forest of medium-sized trees composed of three mangrove species. Due to several human activities, including the construction of a power plant around the 1990s, an area of approximately 2.3 km2 has suffered differential levels of perturbation: complete mortality, partial tree loss (divided into two sections: main and isolated patch), and apparently undisturbed sites. The number and size of trees, from seedlings to adults, were measured using transects and quadrats. With a matrix of the abundance of trees by size categories and species, an ordination (nMDS) showed three distinct groups corresponding to the degree of perturbation. Projection matrices based on the size structure of Avicennia germinans showed transition probabilities that varied according to perturbation levels. Lambda showed growing populations except on the zone that showed partial tree loss; a relatively high abundance of seedlings is not enough to ensure stable mangrove dynamics or start regeneration; and the survival of young trees and adult trees showed high sensitivity.

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 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 The mangrove flora and their physical habitat characteristics in Bunaken National Park, North Sulawesi, Indonesia

2018 ◽  
Vol 19 (4) ◽  
pp. 1303-1312
Author(s):  
RIGNOLDA DJAMALUDDIN
Keyword(s):  
National Park ◽  
Habitat Characteristics ◽  
Physical Habitat ◽  
Mangrove Forests ◽  
Physical Processes ◽  
Mangrove Species ◽  
Distribution Limit ◽  
North Sulawesi ◽  
Special Notice ◽  
Lumnitzera Racemosa

Djamaluddin R. 2018. The mangrove flora and their physical habitat characteristics in Bunaken National Park, NorthSulawesi, Indonesia. Biodiversitas 19: 1303-1312. The mangrove forests of Bunaken National Park are among the most distinctive andunusual in Southeast Asia because of the species that the forests contain. This study investigated the identity and diversity of mangroveplants as well as physiographic factors and major physical processes of every type of sub-habitats. Seven surveys were conducted tocollect and identify mangrove species of the park. Sub-habitats where specimen was found, aspects related to tidal inundation, nature ofsoil, freshwater influence and topography were observed as well as major physical processes influencing the condition of each subhabitat.The results suggested that the park was floristically rich with at least 27 plant species and they were distributed over tenrecognized sub-habitat types in different composition and diversity. Ceriops zippeliana Blume, Lumnitzera racemosa Willd, Lumnitzeralittorea (Jack) Voigt., Sonneratia ovata Backer, and Camptostemon philippinense (Vidal) Becc. were found in Bunaken National Parkand their presence confirmed the broader distribution limit of these species within Indo-Malesia region. A special notice was for C.philippinense as the distribution limit of this is rarely reported.

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%.

Development of a Coupled 3D Groundwater-Vegetation Model for Coastal Wetlands

2021 ◽  
Author(s):  
Shuxin Luo ◽  
Ting Fong May Chui
Keyword(s):  
Native Species ◽  
Environmental Changes ◽  
Southern China ◽  
Saline Water ◽  
Three Dimensional ◽  
Mangrove Ecosystem ◽  
Mangrove Forests ◽  
Vegetation Model ◽  
Mangrove Species ◽  
Hydrological Conditions

<p>Mangrove forests are mainly found in the intertidal zone. Their ability to live in saline water enables them to outcompete non-mangrove vegetation in harsh and specific coastal environment. Nevertheless, they can still be invaded by alien mangrove species in suitable hydrological conditions, possibly resulting in more fragile ecosystems. Subtropical mangrove ecosystem demonstrates high variability in mangrove growth and hydrological conditions. However, their interactions are not well-understood, especially for the mangrove interspecific competition in varying groundwater conditions. To address this issue, the present study developed a coupled three-dimensional groundwater-vegetation model based on MANTRA (MANHAM-SUTRA) to simultaneously simulate groundwater hydrodynamics and mangrove distribution. The developed model was then applied to a subtropical mangrove swamp invaded by Sonneratia spp. in Mai Po Nature Reserve, Hong Kong, China. Vegetation domain is updated yearly using the annual mangrove areas extracted from remote-sensing images from 2000 to 2018. Then, multidecadal simulations were performed to validate the model in simulating the interaction between groundwater and mangrove growth. For the piezometric head, all RMS errors are smaller than 0.2 m and the correlation coefficients are larger than 0.86, which proves the effectiveness of the model in groundwater level simulation within Mai Po. The seasonal variations in the groundwater salinity were also well captured in both the fringe forest and the mudflat. The simulated biomass of Sonneratia spp. is mainly distributed at the river outlets, which is also in good agreement with the historical measurements. The validated model can then be used to predict the invasion and the distribution of the exotic mangrove species in the context of future environmental changes for better management of mangrove swamps. Since Sonneratia is a common alien species in southern China, the model can also be used for regional management of mangrove invasion and conservation of native species. The insights obtained from this study may also provide references for other similar studies examining the interaction between coastal groundwater and vegetation.</p>

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.

Diversity of Mangrove Plant for Support Ecotourism Activities in Nature Conservation Forum Putri Menjangan, Pejarakan Buleleng-Bali

2018 ◽  
Vol 9 (5) ◽  
pp. 987
Author(s):  
I Ketut GINANTRA ◽  
Ida Bagus Made SUASKARA ◽  
Martin JONI
Keyword(s):  
Nature Conservation ◽  
Plant Species ◽  
Diversity Index ◽  
Leaf Shape ◽  
Mangrove Forests ◽  
Mangrove Species ◽  
Mangrove Plant ◽  
Mangrove Plants ◽  
Wiener Diversity Index ◽  
Mangrove Zonation

This study aims to identify the species of mangrove constituents and determine the zonation of the growing community of mangrove plants from the seaward to the landward zone, of the Nature Conservation Forum (NCF) Putri Menjangan coastal Pejarakan village Buleleng from July to October 2017. Identification of mangrove plant species based on the following characteristics: habitus, root type, fruit shape, inflorescence, leaf shape and leaf arangement. Zoning of mangrove grown is determined from vegetation analysis conducted in 3 zones (front zone, middle zone and back zone) with quadrat method, the area of each square is 20 m x 20 m. Parameters specified in each kwadrat are the density, dominance and frequency of presence of each species. Zoning of mangrove community is determined based on the important value of mangrove plant species. The diversity of the mangrove community is calculated by the Shanon-Wiener Diversity Index. The results of the study identified 13 species of true mangrove plants (mangrove) and 14 mangrove mangrove associates. The dominant species are Sonneratia alba (important value / iv is 98.19), Lumnitzera racemosa (iv. is 40.75), Rhizophora apiculata (iv.is 35.53), Rhizophora mucronata (iv. 33.02), Ceriops decandra (iv.23.61) and Avicennia marina (iv. 22.22). The diversity index of mangrove species (H) is 2.07, then it is considered good. The pattern of growing mangrove plants in coastal Pejarakan Buleleng, in general follow the natural pattern of mangrove zonation. Typical characteristics and patterns of growing mangrove zonation become interesting attractions and reference for mangrove area managers in ecotourism development and efforts to conserve mangrove forests.

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