Geoinformatic analysis of vegetation and climate change on intertidal sedimentary landforms in southeastern Australian estuaries from 1975–2015

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

doi:10.3934/geosci.2018.1.36

Cited by 6 publications

(8 citation statements)

References 30 publications

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“…The processes currently affecting Comerong Island, and the level of influence that each process has on the coastal wetland growth/persistence, need to be understood. Previous studies on Comerong Island have shown clear shoreline erosion and wetland losses on the western side, adjacent to Berry Canal (southwestern), and the southern and middle portions of the island (Figure 2; Thompson 2012;Al-Nasrawi, Hamylton, Jones, and Kadhim 2018).…”

Section: Case Study and Settingmentioning

confidence: 90%

“…NSW intertidal estuarine platforms with their associated ecosystems are located along one of the most globally wave-dominated and vulnerable coasts, exposed to sea-level rise and the increasing frequency of extreme climatic events, saline intrusions and reduced sediment and nutrient loads from their respective catchments Al-Nasrawi et al 2017;Al-Nasrawi, Hamylton, Jones, and Kadhim 2018). These combined influences threaten the preservation of coastal assets, which need to be considered and investigated worldwide as an essential conservation imperative.…”

Section: Discussionmentioning

confidence: 99%

“…A few relatively unmodified catchments may be supplied with higher sediment loads from the catchment to maintain the estuaries' surface elevation (e.g. Al-Nasrawi, Hamylton, Jones, and Kadhim 2018). This is the case in the Towamba estuary, and in similar estuaries globally, where the exposed wetland surface is keeping-up with sea-level rise.…”

Section: Discussionmentioning

confidence: 99%

“…Comerong Island, 120 km south of Sydney in southeastern NSW, Australia (Figure 1(a)), is used as a main case study to show the influence of mean sea-level changes on changing the island's elevation and ecosystems. Comerong Island is located at the end of the Shoalhaven and Crookhaven Rivers, and represents an example of large-scale biodiversity habitats like saltmarsh and mangrove (and their associated oysters, fish, animals and birds) where the shorelines and vegetation extent are being influenced by climate change (Kingsford 1990;Thompson 2012;Al-Nasrawi, Hamylton, Jones, and Kadhim 2018). Comparative study sites with different geographic settings include Wandandian Creek delta (Figure 1 Comerong Island is mostly made of sand, and it has important coastal wetlands that have existed for thousands of years.…”

Section: Case Study and Settingmentioning

confidence: 99%

See 3 more Smart Citations

Geoinformatics vulnerability predictions of coastal ecosystems to sea-level rise in southeastern Australia

Al-Nasrawi

Hamylton

Jones

et al. 2018

Geomatics, Natural Hazards and Risk

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Coastlines are dynamic environments, with their Eco-geomorphology controlled by a complex range of natural and anthropic processes. Estuarine environments and associated wetland ecosystems are a critical shoreline types with regards to biodiversity, and are particularly susceptible to the influence of sea-level rise. This project applied future sea-level rise of Intergovernmental Panel on Climate Change (IPCC) hydro-scenarios to assess its impact on the ecogeomorphic aspects of coastal ecosystems in terms of risk assessment and sustainability. Comerong Island is used as a case study and is compared with other surrounding ocean-influenced and lagoonal deltas to assess the regional effects of sea-level rise. Applying the IPCC scenarios to the chosen geomorphic coastal data-sets resulted in a hydro-geomorphic model that shows the study site was already under pressure in 2015, with significant land area projected to be lost by 2050 and 2100. These findings are also expected to occur across the remaining estuaries in southeastern Australia. Applying this broad-scale, multi-strand application of geoinformatics simulation (GIS & RS), together with the various IPCC sealevel rise scenarios, will be necessary to assess future ecosystem sustainability management plans for coastal zones worldwide.

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Section: Case Study and Settingmentioning

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Case Study and Settingmentioning

confidence: 99%

See 2 more Smart Citations

Geoinformatics vulnerability predictions of coastal ecosystems to sea-level rise in southeastern Australia

Al-Nasrawi

Hamylton

Jones

et al. 2018

Geomatics, Natural Hazards and Risk

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show abstract

“…Amanollahi et al [18] also used this analysis for the Assessment of Vegetation Variation in Syria, Iraq, and Saudi Arabia to examine the abundance of vegetation cover in the desert. In an ecologically diverse coastal region like the Southeastern Australian estuaries, Al-Nasrawi et al [19] brought in NDVI to explore the geomorphological characteristics of the highlydynamic intertidal estuarine landforms there to monitor changes in vegetation cover.…”

Section: Applied Environmental Researchmentioning

confidence: 99%

Monitoring the Land Cover Changes in Mangrove Areas and Urbanization using Normalized Difference Vegetation Index and Normalized Difference Built-up Index in Krabi Estuary Wetland, Krabi Province, Thailand

Waiyasusri

2021

App. Envi. Res.

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Krabi Estuary Wetland (KEW) is an outstanding wetland with an estuary environment. At present, the tourism industry has rapidly grown, resulting in the impact of land cover changes. This research aims to assess the changes that have occurred in the KEW from 1999 to 2020 using NDVI and NDBI for monitoring changes in mangrove areas and urbanization in Krabi Province, Thailand. Landsat satellite images in years 1999, 2009 and 2020 were classified by using a band ratio to create land cover maps. The results show that NDVI between 0.41–1.00 clearly shows the mangrove forest area, while NDBI between 0.01–0.40 shows urban and built-up land, and 0.41–1.00 appears as bare land. The NDVI overall accuracy assessment is 82.88%, 97.46% and 88.25% with Kappa values of 0.64, 0.92, and 0.85 for year 1999, 2009 and 2020, respectively. The NDBI overall accuracy assessment is 92.81%, 77.11% and 64% with Kappa values of 0.93, 0.77, and 0.63 for year 1999, 2009 and 2020, respectively. In addition, areas that are sensitive to land-cover change appear around the Chi rat River, Pak Nam Krabi River, and Yuan River, which are tourist areas close to the Krabi and Ao Nang communities. Therefore, it is necessary to speed up the problem solving and find measures to prevent mangrove forest degradation in these 3 mangrove forest areas so that the mangrove forest areas will not decrease rapidly in the future. This research can be valuable for land-cover management in the KEW by policy and decision makers.

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An assessment of anthropogenic and climatic stressors on estuaries using a spatio-temporal GIS-modelling approach for sustainability: Towamba estuary, southeastern Australia

Al-Nasrawi

Hamylton

Jones

2018

Environ Monit Assess

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Monitoring estuarine ecological-geomorphological dynamics has become a crucial aspect of studying the impacts of climate change and worldwide infrastructure development in coastal zones. Together, these factors have changed the natural eco-geomorphic processes that affect estuarine regimes and comprehensive modelling of coastal resources can assist managers to make appropriate decisions about their sustainable use. This study has utilised Towamba estuary (southeastern NSW, Australia), to demonstrate the value and priority of modelling estuarine dynamism as a measure of the rates and consequences of eco-geomorphic changes. This research employs several geoinformatic modelling approaches over time to investigate and assess how climate change and human activities have altered this estuarine eco-geomorphic setting. Multitemporal trend/change analysis of sediment delivery, shoreline positions and land cover, determined from fieldwork and GIS analysis of remote sensing datasets, shows significant spatio-temporal changes to the elevation and areal extent of sedimentary facies in the Towamba estuary over the past 65 years. Geomorphic growth (~ 2600 m annually) has stabilised the estuarine habitats, particularly within native vegetation, salt marsh and mangrove areas. Geomorphic changes have occurred because of a combination of sediment runoff from the mostly unmodified terrestrial catchment, nearshore processes (ocean dynamics) and human activities. The construction of GIS models, verified with water and sediment samples, can characterise physical processes and quantify changes within the estuarine ecosystem. Such robust models will allow resource managers to evaluate the potential effects of changes to the current coastal ecosystems.

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Geoinformatic analysis of vegetation and climate change on intertidal sedimentary landforms in southeastern Australian estuaries from 1975–2015

Cited by 6 publications

References 30 publications

Geoinformatics vulnerability predictions of coastal ecosystems to sea-level rise in southeastern Australia

Geoinformatics vulnerability predictions of coastal ecosystems to sea-level rise in southeastern Australia

Monitoring the Land Cover Changes in Mangrove Areas and Urbanization using Normalized Difference Vegetation Index and Normalized Difference Built-up Index in Krabi Estuary Wetland, Krabi Province, Thailand

An assessment of anthropogenic and climatic stressors on estuaries using a spatio-temporal GIS-modelling approach for sustainability: Towamba estuary, southeastern Australia

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