31 resultados para land suitability assessment

em Deakin Research Online - Australia


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This report outlines an analysis of soil data requirements across the Gippsland region in order for local councils to carry out regional-scale land suitability analysis (LSA). As such, the primary objective of this study was to ascertain and source available relevant soil attribute data and information necessary to enable LSA.

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Land suitability analysis is employed to evaluate the appropriateness of land for a particular purpose whilst integrating both qualitative and quantitative inputs, which can be continuous in nature. However, in agricultural modelling there is often a disregard of this contiguous aspect. Therefore, some parametric procedures for suitability analysis compartmentalise units into defined membership classes. This imposition of crisp boundaries neglects the continuous formations found throughout nature and overlooks differences and inherent uncertainties found in the modelling. This research will compare two approaches to suitability analysis over three differing methods. The primary approach will use an Analytical Hierarchy Process (AHP), while the other approach will use a Fuzzy AHP over two methods; Fitted Fuzzy AHP and Nested Fuzzy AHP. Secondary to this, each method will be assessed into how it behaves in a climate change scenario to understand and highlight the role of uncertainties in model conceptualisation and structure. Outputs and comparisons between each method, in relation to area, proportion of membership classes and spatial representation, showed that fuzzy modelling techniques detailed a more robust and continuous output. In particular the Nested Fuzzy AHP was concluded to be more pertinent, as it incorporated complex modelling techniques, as well as the initial AHP framework. Through this comparison and assessment of model behaviour, an evaluation of each methods predictive capacity and relevance for decision-making purposes in agricultural applications is gained.

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Conflict over the appropriate uses and management of public land have been a feature of the Australian political landscape for at least the past 30 years. While various attempts have been made to establish land use assessment and planning institutions in various jurisdictions, the success of these often short lived attempts at institutional approaches for managing land use conflict have been patchy at best. The experience in the State of Victoria has been somewhat different, with public land use assessment and planning having been informed by a series of independent statutory bodies since 1970 (the Land Conservation, Environment Conservation, and Victorian Environmental Assessment Councils). To some degree at least the value of this approach is indicated by the extent to which Victoria’s bioregions are now protected in conservation reserves. However, while there has always been a statutory body in operation, the roles and responsibilities of these bodies have been subject to significant legislative change, with existing bodies replaced by new bodies in 1997 and 2001. Justifications for these reforms included changing circumstances and new understandings about environmental management, as well as changing views about public administration. As a way of contributing to enhancing the design of institutions for mediating land use conflict and contributing to sustainable land use and management, this paper investigates the lessons that can be learnt from the Victorian experience by examining the implications of the changing roles and responsibilities of these institutions, and then discussing possible future directions for strategic land use planning.

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The Warrnambool-Corangamite Land Suitability and Decision Making Framework (the Project) is a joint project between the Corangamite Shire Council (CSC), the Warrnambool City Council (WCC), the Victorian Local Sustainability Accord, and Deakin University.
The Project was developed with the objective to establish a land suitability and decision-making framework for the WCC and CSC that can be applied to improve the basis for regional and local planning. The Project aims to improve approaches to regional planning to preserve highly productive agricultural land, protect and enhance the environment, whilst supporting sustainable regional development and settlement.

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Australian agriculture is very susceptible to the adverse impacts of climate change, with major shifts in temperature and rainfall projected. In this context, this paper describes a research methodology for assessing potential climate change impacts on, and formulating adaptation options for, agriculture at regional level. The methodology was developed and applied in the analysis of climate change impacts on key horticultural commodities—pome fruits (apples and pears), stone fruits (peaches and nectarines) and wine grapes—in the Goulburn Broken catchment management region, State of Victoria, Australia. Core components of the methodology are mathematical models that enable to spatially represent the degree of biophysical land suitability for the growth of agricultural commodities in the region of interest given current and future climatic conditions. The methodology provides a sound analytic approach to 1) recognise regions under threat of declines in agricultural production due to unfolding climatic changes; 2) identify alternative agricultural systems better adapted to likely future climatic conditions and 3) investigate incremental and transformational adaptation actions to improve the problem situations that are being created by climate change.

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A simulation approach is described for the spatial allocation of crops across a region in order to maximise total revenue. The model uses inputs from GIS-based land suitability analysis to provide data on yields for a range of commodities, where the land suitability for the crops can be determined by either biophysical models or multi-criteria analysis. The objective of the study was to gain some indication of the magnitude of improvement possible in revenue, based on the convergence results for the optimisation (subject to estimated production quantities and market prices). The basic structure of the model allows for scaling up to larger problems with additional inputs and finer cell resolution. The software produces a visualisation of crop spatial allocation across the region and is compatible with statistical uncertainty analysis. The results of model simulations revealed a significant increase in revenue is possible using this approach and, when projected over the full region, suggests the possibility of significant economic benefits.

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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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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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A GIS-based computer modelling methodology was developed and applied to identify climate change adaptation issues arising in regional agricultural production systems (including forestry). Agricultural production in Australia is very susceptible to the adverse impacts of climate change due to projected shifts in rainfall and temperature. The methodology integrates land suitability analysis with uncertainty analysis and spatial (regional) optimisation to determine optimal agricultural land use at a regional scale for current and possible future climatic conditions. The approach can be used to recognise regions under threat of productivity decline, identify alternative cropping systems that may be better adapted to likely future conditions, and investigate implementation actions to improve the sub-optimal situations created by climate change. An example of how the methodology may be used is outlined through a case study involving the South West Region of Victoria, Australia. The case study provides information on the tools available to support the formulation of a regional adaptation strategy.

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Increased global demand for agricultural production is being driven, in particular, by the rising middle class in the Asia-Pacific geo-region. The significant role of natural resource-based industries, especially agriculture, in the development of non-metropolitan regions is again being recognised. In this context, this article describes a spatial analysis approach to agricultural development based on the development of Production Areas (PAs) in regional/rural economies. PAs are spatial units within regions selected for the intensive sustainable development of agriculture (including forestry, agro-forestry and bio-energy), their associated activities and underpinning infrastructure. A case study in a resource-based region in Australia—Gippsland – explains the approach. This is informed by the eco-economy model of endogenous regional/rural development, which addresses the links between novel co-production and consumption networks. The methodology for the identification and analysis of PAs has, at its core, Land Suitability Analyses of those agricultural commodities currently cultivated in the region and those that could be grown in future climates. The use of GIS enables us to overlay and analyse several constraints (e.g. flood erosion and salinity risk) and resources (e.g. water and transport) to define PAs and the available land within each of them. The approach is further illustrated by focusing in one PA—Macalister, an irrigated dairy production area where recent dry climatic conditions caused a substantial decline in water resources. Key elements for the sustainable development of this PA are outlined including construction of Blue-Green Infrastructure. Comments on the approach and the need for strategic long-term planning concludes the article.

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Estimation of nutrient load production based on multi-temporal remotely sensed land use data for the Glenelg–Hopkins region in south-west Victoria, Australia, is discussed. Changes in land use were mapped using archived Landsat data and computerised classification techniques. Land use change has been rapid in recent history with 16% of the region transformed in the last 22 years. Total nitrogen and phosphorus loads were estimated using an export coefficient model. The analysis demonstrates an increase in modelled nitrogen and phosphorus loadings from 1980 to 2002. Whilst such increases were suspected from past anecdotal and ad-hoc evidence, our modelling estimated the magnitude of such increases and thus demonstrated the enormous potential of using remote sensing and GIS for monitoring regional scale environmental processes.

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All Australian governments are committed to the establishment of a  comprehensive, adequate and representative system of conservation  reserves. Many of the most threatened species and communities throughout Australia occur mainly or wholly on private land. A range of mechanisms has been developed to achieve conservation on private land. This article  assesses the legal security, permanence and management intent of such mechanisms in Victoria, in relation to protected area criteria. The  implications of this analysis for the Australian National Reserve System and landowners with these mechanisms on their properties are discussed.

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Researches the suitability of a variety of self-funding options available to regional galleries in Australia. An overview of the range of current self-funding practices is given. Each option is mapped according to its impact on core/value added services and its effect on primary/secondary users and assessed for suitability using these criteria.