scholarly journals Carbon Cycling in Mangrove Ecosystem of Western Bay of Bengal (India)

2021 ◽  
Vol 13 (12) ◽  
pp. 6740
Author(s):  
Kakoli Banerjee ◽  
Abhijit Mitra ◽  
Sebastián Villasante
Keyword(s):  
Carbon Cycling ◽  
Mangrove Ecosystem ◽  
Total Carbon ◽  
Coastal Vegetation ◽  
Mangrove Species ◽  
Intergovernmental Panel ◽  
Excoecaria Agallocha ◽  
Water Compartments ◽  
Western Bay Of Bengal ◽  
Soil And Water

Carbon cycling in the mangrove ecosystem is one of the important processes determining the potential of coastal vegetation (mangroves), sediment, and adjoining waters to carbon absorption. This paper investigates the carbon storage capacity of five dominant mangrove species (Avicenia marina, Avicenia officinalis, Excoecaria agallocha, Rhizophora mucronata, and Xylocarpous granatum) on the east coast of the Indian mangrove along with the role they play in the carbon cycling phenomenon. Soil and water parameters were analyzed simultaneously with Above Ground Biomass (AGB) and Above Ground Carbon (AGC) values for 10 selected stations along. The total carbon (TC) calculated from the study area varied from 51.35 ± 6.77 to 322.47 ± 110.79 tons per hectare with a mean total carbon of 117.89 ± 28.90 and 432.64 ± 106.05 tons of carbon dioxide equivalent (CO2e). The alarm of the Intergovernmental Panel on Climate Change for reducing carbon emissions has been addressed by calculating the amount of carbon stored in biotic (mangroves) and abiotic (soil and water) compartments. This paper focuses on the technical investigations on the factors that control the carbon cycling process in mangroves. This blue carbon will help policymakers to develop a sustainable relationship between marine resource management and coastal inhabitants so that carbon trading markets can be developed, and the ecosystem is balanced.

scholarly journals ASSESSMENT OF MANGROVE ECOSYSTEM POTENCY AND ITS UTILIZATION IN DOMPU REGENCY COASTAL WATERS, WEST NUSA TENGGARA PROVINCE USING SATELLITE IMAGERY APPLICATION

Jurnal Segara ◽  
2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Yulius Yulius ◽  
Syahrial Nur Amri ◽  
August Daulat ◽  
Sari Indriani Putri
Keyword(s):  
Satellite Imagery ◽  
Coastal Waters ◽  
Mangrove Forest ◽  
Satellite Image ◽  
Mangrove Ecosystem ◽  
Coastal Vegetation ◽  
Coastal Protection ◽  
Landsat 8 ◽  
Mangrove Forests ◽  
Mangrove Species

Mangrove forests are tropical coastal vegetation communities, which has the ability to grow in coastal area with tidal and muddy environment. Several functions of mangrove forest such as ecological functions can be used for coastal protection, trapping sediment and strengthen the coastal ecosystems. Coastal waters in Dompu Regency, West Nusa Tenggara have natural mangrove ecosystem with a huge potency and advantages to the region. This study aimed to understand the condition of mangrove ecosystem based on satellite image analysis of Landsat 8 Operational Land Imager (OLI) in 2014 and assess the potency, information related to the utilization by community. Data collection in this study were combined from satellite imagery interpretation with interview and questionnaires. The results showed that the mangrove forest extent in Dompu Regency Coastal Waters were about 90,631 ha with uniformity index 0.68 (medium uniformity). Two mangrove species were found in the region namely Rhizopora stylosa and Rhizopora apiculata and used by the community for several purposes such as firewood, natural coastal protection from tidal, waves and abrasion, also for crabs and fish spawning ground.

scholarly journals STRATEGI PENGEMBANGAN KAWASAN PELABUHAN PERIKANAN NUSANTARA UNTIA BERBASIS EKOWISATA DI KOTA MAKASSAR

2020 ◽  
Vol 3 (1) ◽  
pp. 79-88
Author(s):  
Muhammad Ardiansyah ◽  
Danial Danial ◽  
Muhammad Jamal Alwi
Keyword(s):  
Swot Analysis ◽  
Mangrove Ecosystem ◽  
Suitability Analysis ◽  
Mangrove Species ◽  
Policy Makers ◽  
Field Surveys ◽  
Mangrove Area ◽  
The City ◽  
Fishing Area ◽  
Area Data

Strategy For Development of Untia Archipelago Fishing Area Based on Ecotourism In The City of Makassar This research was conducted from August 5, 2019 to September 5, 2019, aimed at identifying the potential of ecotourism in the Untia VAT Area mangrove ecosystem, analyzing the suitability of the Untia VAT Area mangrove ecotourism, and determining the strategy of developing mangrove ecotourism in the Untia VAT Area. Data collection was carried out through field surveys and interviews using questionnaires. Data analysis uses area suitability analysis for coastal tourism, mangrove tourism category and SWOT analysis. The results of this study indicate that the potential for ecotourism in the mangrove ecosystem Untia VAT Area is a mangrove area included in the appropriate category to be used as an ecotourism area. The strategy of developing mangrove ecotourism in the Untia PPN Region is to increase human resources (HR), planting abrasion-resistant mangrove species in a sustainable manner, procurement of facilities and infrastructure to support tourism activities, and good cooperation among policy makers.

scholarly journals Population status of Heritiera fomes Buch.-Ham., a threatened species from Mahanadi Mangrove Wetland, India

2021 ◽  
Vol 13 (12) ◽  
pp. 19791-19798
Author(s):  
Sudam Charan Sahu ◽  
Manas Ranjan Mohanta ◽  
N.H. Ravindranath
Keyword(s):  
Natural Populations ◽  
P Value ◽  
Population Status ◽  
Mangrove Species ◽  
Sea Levels ◽  
Excoecaria Agallocha ◽  
Mangrove Wetland ◽  
Heritiera Fomes ◽  
The Status ◽  
Rising Sea Levels

Heritiera fomes Buch.-Ham. is assessed as an endangered mangrove species by IUCN, and information on population status is lacking. The present study assesses the status of H. fomes in Mahanadi Mangrove Wetland on the east coast of India. Three forest blocks were selected and sampled for this study. Among these, the mean girth at breast height (GBH) of H. fomes was the highest in Hetamundia (HD) forest block. GBH of H. fomes was inversely proportional to the cumulative disturbance index (R2= 0.7244, p value <0.005). The relative density was maximum for H. fomes (56%) at Bhitarkharnasi (BK), and for Excoecaria agallocha at Hetamundia (HD; 35%) & Kansaridia (KD; 54%), respectively. Excoecaria agallocha is a dominant species possibly impacting natural populations of H. fomes. Climate change and rising sea levels may also negatively affect the existence of this species. Therefore, appropriate strategies should be taken for conservation of this globally threatened mangrove species prior to its extinction.

scholarly journals KONDISI WISATA MANGROVE DI DESA PASAR BANGGI, KABUPATEN REMBANG Mangrove Tourism Conditions in Pasar Banggi Village, Rembang Regency

2019 ◽  
Vol 8 (3) ◽  
pp. 221-225
Author(s):  
Danang Adi Saputro ◽  
Frida Purwanti ◽  
Siti Rudiyanti
Keyword(s):  
Species Composition ◽  
Mangrove Forest ◽  
Mangrove Ecosystem ◽  
Google Earth ◽  
Survey Method ◽  
Systematic Sampling ◽  
Sampling Techniques ◽  
Mangrove Species ◽  
Sampling Points ◽  
Exploratory Survey

ABSTRAK Mangrove merupakan tumbuhan yang hidup di daerah pasang surut sebagai ekosistem interface antara daratan dengan lautan. Ekosistem mangrove di desa Pasar Banggi Kabupaten Rembang merupakan perpaduan antara mangrove alami dan hasil rehabilitasi. Tujuan penelitian ini untuk mengetahui kondisi mangrove di Desa Pasar Banggi, Rembang dilihat dari  komposisi jenis, kerapatan dan ketebalan mangrove serta menganalisis tingkat kesesuaian wisata mangrove di Desa Pasar Banggi, Rembang. Metode yang digunakan adalah metode survey lapangan yang bersifat eksploratif, dimana  teknis pengumpulan data menggunakan sistematik sampling. Data yang diambil meliputi 5 variabel yaitu: jenis, kerapatan mangrove dan asosiasi biota (hasil pengamatan lapangan dan perbandingan dari penelitian terdahulu), ketebalan (citra Google Earth Oktober 2016), pasang surut (data BMKG Oktober 2016). Pengambilan sampel dilakukan pada 3 stasiun, dimana setiap stasiun terdapat 3 titik sampling. Komposisi jenis mangrove di desa Pasar Banggi terdapat 3 jenis mangrove yaitu Rhizopora stylosa, R. mucronata, dan R. Apiculata, dengan kerapatan mangrove tertinggi yaitu 62 ind/100m2 dan ketebalan mangrove tertinggi sepanjang 139 m. Kondisi hutan mangrove desa Pasar Banggi termasuk dalam kategori sesuai (S2) untuk kegiatan wisata berkelanjutan di Kabupaten Rembang. ABSTRACT Mangroves are plants that grow in a tidal areas an interface ecosystems between terrestrial and marine. Mangrove ecosystem in the Pasar Banggi Village,  Rembang Regency is a combination results of natural mangrove and rehabilitation. The purpose of this study were to determine condition of mangroves in the Pasar Banggi Village, Rembang, seen from the species composition, density and thickness of mangroves and to analyze the suitability level of mangrove tourism in the Pasar Banggi Village, Rembang. The method used in this study was an exploratory survey method, data collected using systematic sampling techniques. Mangrove tourism data collection was carried out of 5 variables, i.e.: type of mangrove, density of mangroves and associations of biota (from observations and comparisons of previous studies), thickness (Google Earth image October 2016), tides (data BMKG October 2016). Sampling was conducted at 3 stations, each station has 3 sampling points. The composition of mangrove species in Pasar Banggi village consists of 3 types of mangroves, namely Rhizopora stylosa, R. mucronata, and R. Apiculata, with the highest density of mangrove 62 ind / 100m2 and the highest thickness of mangrove along 139 m. The condition of mangrove forest in the Pasar Banggi village was included in the appropriate category (S2) for sustainable tourism activities in the Rembang Regency.

scholarly journals Regeneration capacity and threats to mangrove areas on the southern coast of Oriental Mindoro, Philippines: Implications to mangrove ecosystem rehabilitation

2020 ◽  
Vol 21 (8) ◽  
Author(s):  
AARON FROILAN RAGANAS ◽  
ANNALEE S. HADSALL ◽  
NELSON M. PAMPOLINA ◽  
STEFAN HOTES ◽  
DAMASA B. MAGCALE-MACANDOG
Keyword(s):  
Dominant Species ◽  
Avicennia Marina ◽  
Mangrove Ecosystem ◽  
Regeneration Capacity ◽  
Southern Coast ◽  
Mangrove Species ◽  
Rhizophora Apiculata ◽  
Mangrove Ecosystems ◽  
Sonneratia Alba ◽  
Ecosystem Rehabilitation

Abstract. Raganas AFM, Hadsall AS, Pampolina NM, Hotes S, Magcale-Macandog DB. 2020. Regeneration capacity and threats to mangrove areas on the southern coast of Oriental Mindoro, Philippines: Implications to mangrove ecosystem rehabilitation. Biodiversitas 21: 3625-3636. Regeneration capacity is important as it determines the fate of an ecosystem. This study assessed six mangrove areas in the southern coast of Oriental Mindoro, Philippines to evaluate their regeneration capacity status. Four mangrove ecotypes were delineated namely seaward, middle, landward and riverine zones at each mangrove ecosystem, where dominant mangrove species were identified and selected for regeneration capacity study. Three subplots measuring 1 x 1 m2 were laid within the five 10 x 10 m2 survey plots established per zone. The juveniles were counted and categorized according to their height classes, using linear regeneration sampling method; where: RCI (≤40 cm) considered seedlings; RCII (41-150 cm) as saplings; and RCIII (151-≤300 cm) as small trees. Potential threats both anthropogenic and natural were determined through key informant interviews. Seven dominant species were identified across ecotypes in all mangrove sites, namely Avicennia marina, Avicennia rumphiana, Ceriops decandra, Rhizophora apiculata, Rhizophora mucronata, Sonneratia alba, and Xylocarpus granatum. RCI (seedlings) is the most abundant across mangrove sites irrespective of the dominant species. Fishpond operation within the mangrove stand is considered a major threat to the juveniles and most mangrove ecosystems. Therefore, protection and constant monitoring of these mangrove ecosystems are necessary to ensure regeneration success in the future.

scholarly journals Panjang Karapas dan Laju Pertumbuhan Spesifik Kepiting Bakau (Scylla serrata) yang diberi Jenis Pakan Berbeda di Area Ekowisata Kampung Kepiting, Bali

2017 ◽  
Vol 4 (1) ◽  
pp. 38
Author(s):  
Ni Desak Putu Ida Suryani ◽  
Pande Gde Sasmita Julyantoro ◽  
Ayu Putu Wiweka Krisna Dewi
Keyword(s):  
Water Quality ◽  
Mangrove Ecosystem ◽  
Quality Parameters ◽  
Quality Parameter ◽  
Scylla Serrata ◽  
Coastal Vegetation ◽  
Water Quality Parameter ◽  
Mud Crab ◽  
Different Types ◽  
Critical Components

Mangrove forest is tropical coastal vegetation that grow on muddy and sandy soils which affected by sea tides. One of important commercial species that live in mangrove ecosystem is the mud crab (Scylla serrata). Feed and water quality have been considered as critical components for supporting the growth both of weight and carapace length of this species. This study was conducted from January to February 2017 in the area of ??Ecotourism Kampung Kepiting, Bali. The influence of different natural feed such as Jerbung shrimp (Penaeus merguiensis), Mollusca, lemuru fish (Sardinella lemuru) and sea worms (Nereis sp.) on the growth performance of the mud crab were investigated. Water quality parameter data such as pH, DO, temperature, salinity and ammonium were also collected. The obtained data were analyzed by using variance analysis of Statistical Product and Service Solutions (SPSS) version 21. The result showed that the use of different types of feed have no effect on  the length of carapace, but it has significantly influence on  the specific growth rate of mud crab. Finally, different types of the given feeding were still resulted in the save range of water quality parameters for mud crab culture.

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

&lt;p&gt;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.&lt;/p&gt;

scholarly journals Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges

2019 ◽  
Vol 11 (3) ◽  
pp. 230 ◽  
Author(s):  
Tien Pham ◽  
Naoto Yokoya ◽  
Dieu Bui ◽  
Kunihiko Yoshino ◽  
Daniel Friess
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Mangrove Ecosystem ◽  
Carbon Stocks ◽  
Machine Learning Techniques ◽  
Species Structure ◽  
Mangrove Species ◽  
Mitigation And Adaptation ◽  
Sensing Applications ◽  
Wide Range

The mangrove ecosystem plays a vital role in the global carbon cycle, by reducing greenhouse gas emissions and mitigating the impacts of climate change. However, mangroves have been lost worldwide, resulting in substantial carbon stock losses. Additionally, some aspects of the mangrove ecosystem remain poorly characterized compared to other forest ecosystems due to practical difficulties in measuring and monitoring mangrove biomass and their carbon stocks. Without a quantitative method for effectively monitoring biophysical parameters and carbon stocks in mangroves, robust policies and actions for sustainably conserving mangroves in the context of climate change mitigation and adaptation are more difficult. In this context, remote sensing provides an important tool for monitoring mangroves and identifying attributes such as species, biomass, and carbon stocks. A wide range of studies is based on optical imagery (aerial photography, multispectral, and hyperspectral) and synthetic aperture radar (SAR) data. Remote sensing approaches have been proven effective for mapping mangrove species, estimating their biomass, and assessing changes in their extent. This review provides an overview of the techniques that are currently being used to map various attributes of mangroves, summarizes the studies that have been undertaken since 2010 on a variety of remote sensing applications for monitoring mangroves, and addresses the limitations of these studies. We see several key future directions for the potential use of remote sensing techniques combined with machine learning techniques for mapping mangrove areas and species, and evaluating their biomass and carbon stocks.

scholarly journals Mangrove management strategy to support fisheries in Mangunharjo Village, Semarang City

2020 ◽  
Vol 202 ◽  
pp. 06016
Author(s):  
Irene Natalia Siahaan ◽  
Jafron Wasiq ◽  
Kismartini
Keyword(s):  
Research Method ◽  
Mangrove Ecosystem ◽  
Mangrove Species ◽  
Economic Resource ◽  
Descriptive Research ◽  
Urban Village ◽  
Mangrove Ecosystems ◽  
The People ◽  
Data Collection Technique ◽  
Development Resource

Mangrove ecosystems have unique characteristics and forms and have functions and benefits as a development resource both as an economic resource and an ecological resource that has long been felt by the people who live around the coastal area. In the last few years, mangrove ecosystems in Mangunharjo Urban Village have been continuously under pressure due to human activities. The main factors causing mangrove damage, namely: (1) Pollution, (2) Conversion of mangrove ecosystems into ponds and (3) Excessive logging. Mangunharjo Village has brackish water fishery potential by having a pond area of ± 10.45 hectares. The research method used in this research is to use a descriptive research method. The data collection technique used is the study of literature. The results showed that the condition of mangrove ecosystems in Mangunharjo Subdistrict decreased from 1990 to 1995 by 50%, but began to increase again in 2002 to 2015 by 18.42%. Mangrove species found in this study were Rhizophora sp, Avicennia sp, Xylocarpus sp and Bruguiera sp. Mangunharjo mangrove ecosystem has the highest density of mangrove species, namely Avicennia sp. As for the results of the analysis of the extent of mangrove ecosystems on the coast of Mangunharjo with the results of fisheries production, it shows that during the period before abrasion the farmer's income was IDR 1,000,000.00 / day these conditions continue to decline to IDR 100,000.00 to IDR 30,000.00 / day until early in 2000.

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