GIS-based modelling of vulnerability of coastal wetland ecosystems to environmental changes: Comerong Island, southeastern Australia

Al-Nasrawi, Ali K. M.; Jones, Brian G.; Hamylton, Sarah

doi:10.2112/si75-007.1

Cited by 9 publications

(5 citation statements)

References 7 publications

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“…This study has illustrated how careful analysis of remote sensing data using a GIS platform can lead to a detailed understanding of the growth and evolution of deltaic and estuarine systems and is similar to the results presented for other Australian coastal systems [3,4,19,[41][42][43]. This implies that the methodology can be broadly applied to study morphological changes over relatively short timeframes in other coastal lagoon systems both in eastern Australia and more generally to any similar systems around the world.…”

Section: Morphological Evolution Of the Wandandian Deltasupporting

confidence: 72%

“…These transitions in land use were associated with clearing native vegetation, resulting in changes to the drainage network hydrology and eco-geomorphologic characteristics of the catchment and its runoff and sedimentary processes [3,22]. Large areas of the catchment are still covered with native vegetation (74.2%) including a state forest and a national park along the eastern cliffs of the Tianjara Range ( Figure 2).…”

Section: Catchment and Land Use Classesmentioning

confidence: 99%

“…Many coastal ecosystem management strategies have become more focused on the conservation and sustainability of coastal wetlands [1,2] locally [3], regionally [4] and globally [5] according to their unique ecosystem function roles [6]. However, they are located in sensitive zones where anthropogenic and climate change stressors are concentrated, such as estuaries and deltaic platforms [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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A Spatio-Temporal Assessment of Landcover and Coastal Changes at Wandandian Delta System, Southeastern Australia

Al-Nasrawi

Hopley

Hamylton

et al. 2017

JMSE

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Large numbers of people live along and depend upon the world's coastal resources. Human modifications of the coastal zone, in combination with climate induced environmental changes, have had a major effect on the natural ecological systems. GIS analysis of remote sensed data, combined with fieldwork and laboratory tests, can be used to determine the resultant eco-geomorphic changes that need to be managed sustainably on a worldwide scale. Modelling the eco-geomorphic dynamics between 1949 and 2016 on the Wandandian Creek delta (southeastern NSW, Australia) provides a case study of management options for such coastal resources. Results from the Wandandian Creek delta show that sand/silt sediment derived from the partially (22%) modified terrestrial catchment has prograded into the wave-dominated St. Georges Basin where it is impacted by nearshore processes. Clear spatio-temporal growth of the areal extent and elevation of the deltaic levees and sandspits, with their associated mangroves and saltmarshes, has occurred over the past 65 years. Although the growth rate has fluctuated during the study period, due to flood events in 1974, 1990s and 2010, the overall subaerial and subaqueous delta area has had an average growth of 4168 m 2 annually with the shoreline extending 1.451 m/year on average. This geomorphic growth has stabilised the estuarine deltaic habitats with high proportions of nutrients and organic matter, particularly within saltmarsh, mangrove, Casuarina/Juncus and other mixed native plant areas. This research shows the importance of analysing morphological changes observed on the delta that can be related to both anthropogenic modifications and natural processes to the catchment and thus should be used in the development of catchment and coastal management plans.

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Section: Morphological Evolution Of the Wandandian Deltasupporting

confidence: 72%

Section: Catchment and Land Use Classesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Spatio-Temporal Assessment of Landcover and Coastal Changes at Wandandian Delta System, Southeastern Australia

Al-Nasrawi

Hopley

Hamylton

et al. 2017

JMSE

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“…The mangrove ecosystem was also sensitive and responsive toward climate change and human activity, the eco-geo-morphological processes and pressures (Al-Nasrawi, Jones & Hamilton, 2016). Therefore mangrove degradation and deforestation in Jakarta caused mangrove to stunt, dying, degradation of mangrove structure and mortality (Ellison & Farmsworth, 1997;Ellison, 2002).…”

Section: B Dynamic Analysis Of Mangrove Ecosystemmentioning

confidence: 99%

Correlation Analysis Between Seawater Intrusion and Mangrove Greenbelt

et al. 2017

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CORRELATION ANALYSIS BETWEEN SEAWATER INTRUSION AND MANGROVEGREENBELT. Seawater intrusion is an entry process of seawater to land. Many factors have caused seawater intrusion from freshwater exploitation until mangrove degradation. Mangrove ecosystem is a type of forest ecosystem which has an ability to reduce seawater intrusion. This paper analyzes the estimation and prediction of seawater intrusion and correlation between widths of mangrove with seawater intrusion. The relation analysis between the width of mangrove greenbelt with seawater intrusion used an equation model to predict seawater intrusion. The research method used sampling technique, system analysis with powersim software, correlation analysis and mathematical method with trend line analysis. Results show that (1) the mangrove density in the coastal area is approximately 50 -109 trees/ha. (2) Simulation results showed seawater intrusion rate was about 0.20 km year -1 (with mangrove as a component system), but reached 0.3 -0.4 km/year (without mangrove as a component system). (3) The simulation result also showed that freshwater salinity was estimated to increase from 1.92 ppt to 4.86 ppt. (4) The relation model between seawater intrusion and mangrove greenbelt showed that correlation coefficient was 0.97 with the equation seawater intrusion (m) = 2264.9 * exp (-0.009 * the width of mangrove greenbelt (m)), the correlation of mangrove width with seawater intrusion was 0.97. (5) Avicennia marina, Avicennia alba, Rhizophora styllosa, Sonneratia alba and Sonneratia caseolaris were the mangrove species that had the best ability to reduce seawater intrusion.Keywords: Seawater intrusion, mangrove, water salinity, system analysis ANALISIS KORELASI ANTARA INTRUSI AIR LAUT DENGAN JALUR HIJAU MANGROVE. Intrusi air laut merupakan proses masuknya air laut ke daratan. Faktor-faktor yang menyebabkan terjadinya intrusi air laut diantaranya adalah pemompaan air tawar hingga kerusakan ekosistem mangrove. Ekosistem mangrove adalah suatu ekosistem yang memiliki kemampuan untuk mengurangi proses intrusi air laut. Penelitian ini menganalisis pendugaan dan prediksi intrusi air laut, hubungan antara lebar jalur hijau mangrove dengan intrusi air laut. Analisis hubungan antara lebar jalur hijau dan intrusi air laut menggunakan suatu model persamaan. Penelitian ini dibangun dengan menggunakan

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“…(d) calculation of mangrove area. (e) calculation of mangrove density using NDVI (f) the analysis of area of mangrove ecosystem base on the mangrove density using leaf area index (LAI) quantifies as the amount of leaf material in a canopy (Saleh 2007;Lee and Yeh 2009;Al-Nasrawi et al, 2016).…”

Section: Mapping Analysismentioning

confidence: 99%

Mapping of Mangrove Ecosystem In Segara Anakan Lagoon using Normalized Different Vegetation Index and Dominant Vegetation Index

Hilmi,

Sari,

Mahdiana

et al. 2022

omni.akua

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Mangrove ecosystem in Segara Anakan Lagoon (SAL) Cilacap as a typical and specific semiclosed estuary. SAL is dominated by many species like as Rhizophora spp., Sonneratia spp., Bruguiera spp., Avicennia spp., and other species. The normalized different vegetation index (NDVI) and dominant vegetation index (DVI) are a suitable method to support the mapping analysis of mangrove structure and mangrove density. This research aimed to develop mapping of mangrove species distribution, density and dominated species using NDVI and DVI. The method of this research used NDVI analysis using satellite imagery 2017-2020 and domination vegetation with line and quadrat transect method. The results showed that West Segara Anakan had mangrove dense (25 %), moderate density (25 %), rare density (50%) and East Segara Anakan had mangrove dense (43,86 %), moderate density (47.99 %), rare density (8,24 %). Based on domination species showed that East Segara Anakan was dominated by Rhizophora stylosa (233-1633 trees ha-1), Rhizophora apiculata (100-1067 trees ha-1), Nypa frutican (50-2775 trees ha-1), whereas West Segara Anakan was dominated by Nypa frutican (565-2333 trees ha-1), Avicennia marina (198-933 trees ha-1), Sonneratia caseolaris (132-700 trees ha-1) and Avicennia alba (107-1000 trees ha-1). Keywords : Mangrove density, mapping analysis, Segara Anakan Lagoon, NDVI and NDWI

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GIS-based modelling of vulnerability of coastal wetland ecosystems to environmental changes: Comerong Island, southeastern Australia

Cited by 9 publications

References 7 publications

A Spatio-Temporal Assessment of Landcover and Coastal Changes at Wandandian Delta System, Southeastern Australia

A Spatio-Temporal Assessment of Landcover and Coastal Changes at Wandandian Delta System, Southeastern Australia

Correlation Analysis Between Seawater Intrusion and Mangrove Greenbelt

Mapping of Mangrove Ecosystem In Segara Anakan Lagoon using Normalized Different Vegetation Index and Dominant Vegetation Index

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