Sustainable land resource assessment in regional and urban systems

Hossain, Hemayet; Sposito, Victor; Evans, Carys

doi:10.2104/ag060024

Cited by 19 publications

(13 citation statements)

References 15 publications

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“…Collins et al. 2001; Duc Uy and Nakagoshi 2008; Hossain et al. 2006; Jankowski 1995; Thapa and Murayama 2008).…”

Section: Land Suitability Analysismentioning

confidence: 99%

Adaptation to Climate Change in Regional Australia: A Decision‐Making Framework for Modelling Policy for Rural Production

Sposito¹,

Benke²,

Pelizaro³

et al. 2010

Geography Compass

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A decision‐making framework was developed and applied in regional Australia to identify adaptation issues arising in agricultural systems and rural production as a consequence of climate change. Australian agriculture is very susceptible to the adverse impacts of climate change, with major shifts in temperature and rainfall projected. An advantage of the framework is that it provides a suite of tools to aid in the formulation of strategies for sustainable regional development and adaptation. The decision‐making framework uses a participatory approach that integrates land suitability analysis with uncertainty analysis and spatial optimisation to determine optimal agricultural land use (at a regional scale) for current and possible future climatic conditions. It thus provides a robust analytic approach to (i) recognise regions under threat of productivity declines, (ii) identify alternative cropping systems better adapted to likely future climatic conditions and (iii) investigate policy actions to improve the sub‐optimal situations created by climate change. The decision‐making framework and its methods were applied in a case study of the South West Region of Victoria.

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“…Collins et al. 2001; Duc Uy and Nakagoshi 2008; Hossain et al. 2006; Jankowski 1995; Thapa and Murayama 2008).…”

Section: Land Suitability Analysismentioning

confidence: 99%

Adaptation to Climate Change in Regional Australia: A Decision‐Making Framework for Modelling Policy for Rural Production

Sposito¹,

Benke²,

Pelizaro³

et al. 2010

Geography Compass

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“…For example, in regional planning one may want to identify geographical locations that are suitable for growing winter wheat or other crops (see also Herath & Prato 2006;Hossain et al 2006). Agricultural crops have growth requirements related to specific combinations of soil, climate and landscape characteristics.…”

Section: Model 2: Land Suitabilitymentioning

confidence: 99%

Modelling fundamentals and the quantification and spatial presentation of uncertainty

Lowell¹,

Christy²,

Benke³

et al. 2011

Journal of Spatial Science

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The fundamental nature of two different types of models was examined relative to how spatial uncertainty can be quantified and represented for communication to users of model outputs. One model was a complex systems-based landscape model driven by hydrological dynamics whose calibration is an iterative semi-objective process. The other is a cropspecific landscape suitability model that is calibrated using expert knowledge. How fundamental model differences impact the type of uncertainty information that can be produced is discussed as are difficulties in producing such information. Finally, commonalities between the two approaches relative to uncertainty are discussed.

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“…MCE, also referred to as Multi-Criteria Analysis (MCA), is a well-known methodology for dealing with complex decision problems, where multiplel aspects of the problem are considered (see Voogd 1983;Keeney and Raiffa 1993). The Analytic Hierarchy Process (AHP) for MCA, developed by Saaty (1980Saaty ( , 1994Saaty ( , 1995, is one of the most widely used for land suitability analysis (Carver 1991;Jankowski and Richard 1994;Jankowski 1995;Collins et al 2001;Hossain et al 2006;Abella and van Westen 2007;Duc Uy and Nakagoshi 2008).…”

Section: The Modelling Frameworkmentioning

confidence: 99%

A Modelling Framework for Optimisation of Commodity Production by Minimising the Impact of Climate Change

Pelizaro¹,

Benke²,

Sposito³

2010

Appl. Spatial Analysis

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The agricultural sector is vulnerable to the impact of climate change due to decreasing rainfall, increasing temperature, and the frequency of extreme weather events. A modelling framework was developed and applied to identify issues, problems and opportunities arising in regional agricultural systems as a consequence of climate change. This integrated framework blends together land suitability analysis, uncertainty analysis and an optimisation approach to establish optimal agricultural land-use patterns on a regional scale for current and possible future climate scenarios. The framework can also be used to identify (i) regions under threat of productivity decline, and (ii) alternative crops and their locations that can cope better with changing climate. The methods and contents of the framework are presented by means of a case study developed in the South West Region of Victoria, Australia. The results can be used to assess land suitability in support of optimised crop allocations across a local region, and to underpin the development of a regional adaptation policy framework designed to reduce the vulnerability of the agriculture sector to the impacts of climate change.

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Sustainable land resource assessment in regional and urban systems

Cited by 19 publications

References 15 publications

Adaptation to Climate Change in Regional Australia: A Decision‐Making Framework for Modelling Policy for Rural Production

Adaptation to Climate Change in Regional Australia: A Decision‐Making Framework for Modelling Policy for Rural Production

Modelling fundamentals and the quantification and spatial presentation of uncertainty

A Modelling Framework for Optimisation of Commodity Production by Minimising the Impact of Climate Change

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