Carbon storage in a restored mangrove forest in Can Gio Mangrove Forest Park, Mekong Delta, Vietnam

2016 ◽  
Vol 380 ◽  
pp. 31-40 ◽  
Author(s):  
Luu Viet Dung ◽  
Nguyen Tai Tue ◽  
Mai Trong Nhuan ◽  
Koji Omori
Keyword(s):  
Carbon Storage ◽  
Mangrove Forest ◽  
Mekong Delta ◽  
Forest Park ◽  
Can Gio Mangrove

Biodiversity of meiofauna in the intertidal khe nhan mudflat, can gio mangrove forest, vietnam with special emphasis on free living nematodes

2007 ◽  
Vol 42 (3) ◽  
pp. 135-152 ◽  
Author(s):  
Quang Ngo Xuan ◽  
Ann Vanreusel ◽  
Nguyen Vu Thanh ◽  
Nic Smol
Keyword(s):  
Mangrove Forest ◽  
Free Living ◽  
Can Gio Mangrove

Carbon storage of a tropical mangrove forest in Mui Ca Mau National Park, Vietnam

CATENA ◽  
2014 ◽  
Vol 121 ◽  
pp. 119-126 ◽  
Author(s):  
Nguyen Tai Tue ◽  
Luu Viet Dung ◽  
Mai Trong Nhuan ◽  
Koji Omori
Keyword(s):  
Carbon Storage ◽  
Mangrove Forest ◽  
National Park

Temporal patterns in species zonation in a mangrove forest in the Mekong Delta, Vietnam, using a time series of Landsat imagery

2017 ◽  
Vol 147 ◽  
pp. 144-154 ◽  
Author(s):  
Eric L. Bullock ◽  
Sergio Fagherazzi ◽  
William Nardin ◽  
Phuoc Vo-Luong ◽  
Phong Nguyen ◽  
...  
Keyword(s):  
Time Series ◽  
Mangrove Forest ◽  
Landsat Imagery ◽  
Mekong Delta ◽  
Temporal Patterns ◽  
Species Zonation

scholarly journals Implementasi Green Business dalam Ekoturisme di Jawa Tengah (Studi pada Tiga Obyek Wisata)

JEMAP ◽  
2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Sentot Suciarto ◽  
Agatha Ferijani
Keyword(s):  
Mangrove Forest ◽  
Local Community ◽  
Research Result ◽  
Botanical Garden ◽  
Economic Life ◽  
Tourist Destination ◽  
Forest Park ◽  
Tourist Destinations ◽  
Natural Beauty ◽  
Green Business

In the year 2025 it is hoped that ASEAN will become tourist destination offering ASEAN experience which unique, diversify, and developing sustainable, inclusive, and responsible tourism. It will become significant contributionto the economic life of ASEAN community. According to that vision, Indonesia also develops tourism which environment friendly and green business. Ecoturism as traveling activities to destination region should folow natural rules for enjoying natural beauty, including education-comprehension and support to conservation which could increase local community income. In this research selected three tourist ecotourism destination including Morosari Mangrove Forest at Demak Region, Tlogo Tuntang Tourism at Bawen Salatiga, and Forest Park Botanical Garden Mangkunegoro 1 at  Lawu Mountain at Karanganyar Region. Research result showed that Mangrove Forest Demak, Tlogo Resort Tuntang and  Forest Park Botanical Garden not yet becoming ecotourism and tourist business which profitable and sustainable tourism. There is local management desire to make tourism based on natural wealth or tourist destination which conserving ecology.  The three tourist destinations generally need continous improvement so that becoming intereseting ecoturism and profitable. It is needed to continuously conserve flora and fauna, and environment management to attract visitors. 

scholarly journals PERSEPSI DAN PERILAKU MASYARAKAT SEKITAR HUTAN MANGROVE TERHADAP PELESTARIAN MANGROVE DI KAWASAN TAMAN HUTAN RAYA NGURAH RAI BALI

2019 ◽  
Vol 13 (2) ◽  
pp. 135
Author(s):  
Catarina Tenny Setiastri ◽  
I Wayan Windia ◽  
Ida Ayu Astarini
Keyword(s):  
Quantitative Analysis ◽  
Mangrove Forest ◽  
Local Community ◽  
Forest Area ◽  
Primary Data ◽  
Analysis Method ◽  
Forest Park ◽  
Function Change ◽  
Quantitative Analysis Method ◽  
Mangrove Conservation

Ngurah Rai Forest Park Bali is a mangrove conservation which covers 1,373.50 ha; the largest mangrove forest area in Bali. However, its strategic location, in the center of business and the golden triangle of tourism (Sanur, Nusa Dua, and Kuta), creates pressures from various interests. This threat causes 253.40 ha of mangrove forest area in Ngurah Rai Forest Park Bali severely damaged. The aims of this study were: (1) to analyze the forms of land function change occurred in Ngurah Rai Forest Park Bali; (2) to analyze perception of the community around Ngurah Rai Forest Park Bali about mangrove conservation; (3) to analyze the behavior of the community around Ngurah Rai Forest Park Bali about mangrove conservation. The research was conducted from May until July 2018 in Tuban and Pedungan District. This study uses 2 (two) analytical methods, 1) literature study methods, to determine the form of land function change that occurred in the Ngurah Rai Area of ??Bali, 2) categorical quantitative analysis method to determine the perceptions and behavior of the local community. The categorical quantitative analysis method was used to categorize the perceptions and behaviors of local people. It is qualified into 4 (four) categories on a Likert scale. The results of the questionnaire collected were categorized into 4 (four) levels and discussed descriptively. This paper was based on primary data taken using questionnaire with a predetermined analysis unit to interview the community in the study area. The result presented with quantitative and descriptive analysis. The result shows that within twelve years, from 2000 to 2012, Ngurah Rai Forest Park Bali has a land function change of 29.76 ha or 2.16%; from 1,161.76 ha in 2000 to 1,132.00 ha in 2012. The level of community perception towards the mangrove preservation of Ngurah Rai Forest Park Bali is very good but the level of its community behavior is bad. It can concluded that good perception do not always have a good impact of people behavior towards the mangrove conservation.  

scholarly journals Poverty distribution of different types of forest-related communities: Case study in Wan Abdul Rachman Forest Park and mangrove forest in Sidodadi Village, Lampung Province, Indonesia

2019 ◽  
Vol 20 (11) ◽  
Author(s):  
ROMMY QURNIATI ◽  
ARIEF DARMAWAN ◽  
RIZKI BAHAGIA UTAMA ◽  
MAKOTO INOUE
Keyword(s):  
Mangrove Forest ◽  
Informal Education ◽  
Sustainable Use ◽  
Social Characteristics ◽  
Mangrove Forests ◽  
Upland Forest ◽  
Forest Park ◽  
The Poor ◽  
Different Types

Abstract. Qurniati R, Darmawan A, Utama RB, Inoue M. 2019. Poverty distribution of different types of forest-related communities: Case study in Wan Abdul Rachman Forest Park and mangrove forest in Sidodadi Village, Lampung Province, Indonesia. Biodiversitas 20: 3153-3163. Forest has important role in community because it can influence social characteristics as well as the quality of life of the household. In the tropics, many people living around forest are in poor conditions. Sidodadi Village of Pesawaran District, Lampung Province bordered to Wan Abdul Rachman (WAR) Forest Park in the upland and mangrove forest in the coastal area represents a good case study of communities living adjacent to forests with different ecosystem type. The research objective was to identify and analyze the characteristics and the level of household poverty of community living around two forested areas (i.e. upland forest in WAR Forest Park versus mangrove forest) in Sidodadi Village. In this village, households were interviewed by randomly selecting 215 respondents. The poverty was analyzed using five indicators, i.e. the economic characteristics, material wealth, health, infrastructure and services, and knowledge. The study found that base on the aggregated five poverty indicators there were no households categorized as poor. However, analyses in each indicator had diverse results. Based on the indicators of knowledge and economic characteristics, we found that most respondents were classified as poor while based on three other indicators there were classified as rich. The poor knowledge level was dominantly in older people who have low formal and informal education, while poverty in terms of economic characteristics due to limited opportunity to have better livelihood. Results also indicate that the poor households were located near mangrove forests while those classified as rich were located near upland forest in WAR Forest Park. The rich households had better opportunities to earn income from limited uses of forest in the upland area, yet similar opportunities were not obtained from mangrove forests. Sustainable use of mangrove forests should be considered to support the livelihood option of the surrounding community to enhance their wealth.

scholarly journals Gap-Free Monitoring of Annual Mangrove Forest Dynamics in Ca Mau Province, Vietnamese Mekong Delta, Using the Landsat-7-8 Archives and Post-Classification Temporal Optimization

2020 ◽  
Vol 12 (22) ◽  
pp. 3729
Author(s):  
Leon T. Hauser ◽  
Nguyen An Binh ◽  
Pham Viet Hoa ◽  
Nguyen Hong Quan ◽  
Joris Timmermans
Keyword(s):  
Land Use ◽  
Mangrove Forest ◽  
Temporal Dynamics ◽  
Mekong Delta ◽  
Google Earth ◽  
Data Availability ◽  
Forest Monitoring ◽  
Landsat 8 ◽  
Mangrove Forests ◽  
Landsat 7

Ecosystem services offered by mangrove forests are facing severe risks, particularly through land use change driven by human development. Remote sensing has become a primary instrument to monitor the land use dynamics surrounding mangrove ecosystems. Where studies formerly relied on bi-temporal assessments of change, the practical limitations concerning data-availability and processing power are slowly disappearing with the onset of high-performance computing (HPC) and cloud-computing services, such as in the Google Earth Engine (GEE). This paper combines the capabilities of GEE, including its entire Landsat-7 and Landsat-8 archives and state-of-the-art classification approaches, with a post-classification temporal analysis to optimize land use classification results into gap-free and consistent information. The results demonstrate its application and value to uncover the spatio-temporal dynamics of mangrove forests and land use changes in Ngoc Hien District, Ca Mau province, Vietnamese Mekong delta. The combination of repeated GEE classification output and post-classification optimization provides valid spatial classification (94–96% accuracy) and temporal interpolation (87–92% accuracy). The findings reveal that the net change of mangroves forests over the 2001–2019 period equals −0.01% annually. The annual gap-free maps enable spatial identification of hotspots of mangrove forest changes, including deforestation and degradation. Post-classification temporal optimization allows for an exploitation of temporal patterns to synthesize and enhance independent classifications towards more robust gap-free spatial maps that are temporally consistent with logical land use transitions. The study contributes to a growing body of work advocating full exploitation of temporal information in optimizing land cover classification and demonstrates its use for mangrove forest monitoring.

scholarly journals Stand structure and carbon storage in the oligohaline zone of the Sundarbans mangrove forest, Bangladesh

2018 ◽  
Vol 14 (1) ◽  
pp. 23-28 ◽  
Author(s):  
Md. Kamruzzaman ◽  
Shamim Ahmed ◽  
Sumonta Paul ◽  
Md. Mizanur Rahman ◽  
Akira Osawa
Keyword(s):  
Carbon Storage ◽  
Mangrove Forest ◽  
Stand Structure ◽  
Sundarbans Mangrove ◽  
The Sundarbans
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