Analysis of coastline change in relation to meteorological conditions and human activities in Ca mau cape, Viet Nam

Thoai, Duong Thanh; Dang, Anh Nguyet; Oanh, Nguyen Thi Kim

doi:10.1016/j.ocecoaman.2019.01.007

Cited by 35 publications

(15 citation statements)

References 33 publications

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“…Since this region suffered a massive conversion of mangrove forests to aquaculture ponds, this physical degradation reduced coastal areas (Marfai 2011). Moreover, the reduction of mangrove species composition and physical structures was an imperative impact demonstrated along this coastline (Thoai et al 2019). In this region, the study observed 5.13 ha of mangrove forests protected by one-year-old permeable barriers (MF1), 2.63 ha of mangrove forests protected by four-year-old permeable barriers (MF4), 2.0 ha of abandoned ponds protected by four-year-old permeable barriers (AP4), and a 1.4 ha productive ponds (PP0)), located in Timbulsloko Village.…”

Section: Study Sitementioning

confidence: 99%

Effects of permeable barriers on total ecosystem carbon stocks of mangrove forests and abandoned ponds in Demak District, Central Java, Indonesia

2020

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Abstract. Authors. 2020. Effects of permeable barriers on total ecosystem carbon stocks of mangrove forests and abandoned ponds in Demak District, Central Java, Indonesia. Biodiversitas 21: 5298-5307. In this study, we observed the effects of constructing permeable barriers in the low-lying coastal zone and severely eroded coast of Demak District, Central Java, Indonesia in the context of mangrove forest structures and carbon (C) dynamics. Forest structures were characterized by stand density, basal area, and ecological indices. The dynamics of C, expressed as total ecosystem carbon stocks (TECS), were compared in mangrove forests, abandoned ponds, and productive ponds by estimating C pools from above- and belowground biomass, dead organic matter, and soil. We found that permeable barriers, whether or not protect mangroves, results in the similarity of above- and belowground C due to no considerable difference in basal area. By contrast, soil properties in terms of bulk density, N concentration, and C:N ratio statistically varied among sites. We discovered that changes in soil properties were associated with duration of permeable barriers, resulting in an increase of soil C in mangrove sites, i.e., 618.84±30.39 Mg C ha−1; 704.13±17.73 Mg C ha−1; and 759.88±15.26 Mg C ha−1 in 0-, 1-, and 4-year-old permeable barriers, respectively. Moreover, these barriers were proved not only could enrich soil C in mangroves but also provide a habitat for Avicennia sp. seedlings in the newly reclaimed coastline.

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Section: Study Sitementioning

confidence: 99%

Effects of permeable barriers on total ecosystem carbon stocks of mangrove forests and abandoned ponds in Demak District, Central Java, Indonesia

2020

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“…Coastal erosion and accretion are natural factors leading to coastlines variations. Other natural factors such as sediment transport, tidal condition, wind, temperature, flow direction, and wave energy also lead to coastline variations [44][45][46][47]. In addition to these natural factors, anthropogenic factors also influence the length of coastlines.…”

Section: Driving Factors Of Coastline Variationsmentioning

confidence: 99%

Coastline Fractal Dimension of Mainland, Island, and Estuaries Using Multi-temporal Landsat Remote Sensing Data from 1978 to 2018: A Case Study of the Pearl River Estuary Area

Wang

2020

Remote Sensing

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The Pearl River Estuary Area was selected for this study. For the past 40 years, it has been one of the most complex coasts in China, yet few studies have analyzed the complexity and variations of the area’s different coastlines. In this investigation, the coastlines of the Pearl River Estuary Area were extracted from multi-temporal Landsat remote sensing data from 1978, 1988, 1997, 2008, and 2018. The coastline of this area was classified into mainland, island, and estuarine. To obtain more detailed results of the mainland and island, we regarded this area as the main body, rezoned into different parts. The box-counting dimension was applied to compute the bidimensional (2D) fractal dimension. Coastline length and the fractal dimension of different types of coastline and different parts of the main body were calculated and compared. The fractal dimension of the Pearl River Estuary Area was found to have increased significantly, from 1.228 to 1.263, and coastline length also increased during the study period. The island and mainland showed the most complex coastlines, while estuaries showed the least complexity during the past forty years. A positive correlation was found between length and 2D-fractal dimension in some parts of the study area. Land reclamation had the strongest influence on fractal dimension variations.

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“…Liu et al [22] analyzed the problems with coastline utilization in China since the 1990s and put forward opinions and suggestions for coastline protection and utilization. Thoai et al [23] analyzed the changes in the Ca Mau Cape coastline through data analysis and questionnaire surveys and concluded that the most important factor affecting the coastline changes was the reduction in forest area, which could be used to formulate sustainable coastal management strategies for the study area.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Spatial–Temporal Analysis of Coastline Changes Using Place Name Information on Hainan Island, China

Xia

Luan

Zhao

et al. 2021

IJGI

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A coastline is the boundary zone between land and sea, an active zone of human social production activities and an area where the ecology is fragile and easy to change. The traditional method to analyze temporal and spatial changes in the coastline is to extract the coastline through remote sensing, LiDAR, and field sampling and analyze the temporal and spatial changes with statistical data. The coastline extracted by these methods has high spatial and temporal resolution, but it requires remote sensing images and data obtained by other sensors, so it is impossible to extract coastlines from before the emergence of remote sensing technology. This paper improves the coastline generation algorithm. Firstly, a triangulated irregular network is used to generate the preliminary rough coastline, and then, each line segment is optimized with Python language according to the influence range of the place names to further approach the real coastline. The accuracy of the coastline extracted by this method can reach 80% within 500 m, which is of great significance in the mapping and analysis of small- and medium-scale coastlines. This paper analyzes the changes in the coastline of Hainan Island before the founding of China (pre-founding) and in modern times and analyzes the impact of coastal development on coastline change. Through the analysis, it is found that, from before the founding of the People’s Republic of China to the present, the natural coastline of Hainan Island has become shorter, the artificial coastline has become longer, and the coastline generally presents a trend of advancing toward the ocean. This method realizes coastline construction under the condition of missing remote sensing images and puts forward a new way to study historical coastline changes.

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Analysis of coastline change in relation to meteorological conditions and human activities in Ca mau cape, Viet Nam

Cited by 35 publications

References 33 publications

Effects of permeable barriers on total ecosystem carbon stocks of mangrove forests and abandoned ponds in Demak District, Central Java, Indonesia

Effects of permeable barriers on total ecosystem carbon stocks of mangrove forests and abandoned ponds in Demak District, Central Java, Indonesia

Coastline Fractal Dimension of Mainland, Island, and Estuaries Using Multi-temporal Landsat Remote Sensing Data from 1978 to 2018: A Case Study of the Pearl River Estuary Area

Exploring the Spatial–Temporal Analysis of Coastline Changes Using Place Name Information on Hainan Island, China

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