2010
DOI: 10.1007/s11852-010-0114-3
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Examining the potential impacts of sea level rise on coastal wetlands in north-eastern NSW, Australia

Abstract: The coastal wetlands of north-eastern New South Wales (NSW) Australia are increasingly being affected by anthropogenic factors such as urbanisation, residential development and agricultural development. However, little is known about their vulnerability to sea level rise as a result of climate change. The aim of this research is to predict the potential impact of sea level rise (SLR) on the coastal wetland communities. Sea Level Affecting Marshes Model (SLAMM) was used to predict the potential impacts of sea l… Show more

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Cited by 33 publications
(17 citation statements)
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“…SLAMM is an open source model that can be implemented with relative ease. It has been used to investigate potential impacts of sea-level rise on coastal wetlands in a range of locations, though primarily the USA [20,21,[41][42][43][44]. Here, SLAMM was implemented to explore the role of sea-level rise on Mediterranean-Atlantic saltmarshes using the Odiel system (SW-Spain) as a case study.…”
Section: Discussionmentioning
confidence: 99%
“…SLAMM is an open source model that can be implemented with relative ease. It has been used to investigate potential impacts of sea-level rise on coastal wetlands in a range of locations, though primarily the USA [20,21,[41][42][43][44]. Here, SLAMM was implemented to explore the role of sea-level rise on Mediterranean-Atlantic saltmarshes using the Odiel system (SW-Spain) as a case study.…”
Section: Discussionmentioning
confidence: 99%
“…Earlier versions of SLAMM have been used in previous studies to address the potential impact of sea level rise, including for coastal wetlands of New South Wales, Australia (Akumu et al ) and the barrier island of a US Air Force base (Chu‐Agor et al ).…”
Section: Methodsmentioning
confidence: 99%
“…Landscape-scale projections of mangrove-saltmarsh distribution based on empirical data that incorporate feedbacks between hydroperiod, mineral and organic matter additions, and sea-level rise have been developed using readily available models such as the 'sea level affecting marshes model' (Akumu et al 2011;Traill et al 2011;Runting et al 2016;Mogensen and Rogers 2018) or empirically driven numerical models (Oliver et al 2012;Rogers et al 2012Rogers et al , 2013Mogensen and Rogers 2018). Both modelling approaches extrapolate elevation and distance dependent relationships between surface elevation gain and sea-level rise.…”
Section: Australiamentioning
confidence: 99%