Systematic regional planning for multiple objective natural resource management

Bryan, Brett A.; Crossman, Neville D.

doi:10.1016/j.jenvman.2007.06.003

Cited by 79 publications

(44 citation statements)

References 83 publications

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“…Multiple criteria analysis has been popularly applied for searching the optimal solution among several alternatives on the basis of multiple factors (Bryan and Crossman 2008; As criteria or attributes of alternatives would be in conflict, it is better to determine a compromise solution instead of an optimal solution. This study applied a compromise method, VIKOR, for searching a compromise solution.…”

Section: Criteria Selectionmentioning

confidence: 99%

Using the VIKOR method to evaluate the design of a water quality monitoring network in a watershed

Chang

Lin

2013

Int. J. Environ. Sci. Technol.

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Water quality monitoring stations play critical roles for analyzing the information of water quality conditions in a watershed. The understanding of water quality conditions of a river system is very important for water resource management. This study applied the VIKOR method, a commonly used method in multiple criteria analysis, to evaluate the design of the water quality monitoring network in the Taipei Water Resource Domain (TWRD). Five criteria were selected for multiple criteria analysis: non-point source pollution, green cover ratio, landslide area ratio, over-utilization area ratio of hillsides, and density of water quality monitoring stations. This study recommended several areas where there is a need for sufficient monitoring records of water quality. The result shows that more monitoring stations are needed in the BeiShih Creek Basin. Although the Nan-Shih Creek Basin covers larger area than the Bei-Shih Creek Basin and the Sin-Dian Creek Basin, it can accept less density of water quality monitoring stations.

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Section: Criteria Selectionmentioning

confidence: 99%

Using the VIKOR method to evaluate the design of a water quality monitoring network in a watershed

Chang

Lin

2013

Int. J. Environ. Sci. Technol.

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“…There is however a growing body of theory and associated tools for prioritisation in the context of spatial and temporal dynamics Moilanen et al, 2009;Bryan and Crossman, 2008;Crossman and Bryan, 2009;Wilson et al, In Press).…”

Section: Cost-effectiveness Analysismentioning

confidence: 99%

“…Multi-criteria evaluation is a commonly used approach to evaluate restoration projects and is often driven by expert opinion and ranking systems (Bryan and Crossman, 2008;Cipollini et al, 2005;Twedt et al, 2006). With such approaches the potential restoration sites are scored against multiple social, ecological, and economic criteria and priorities are evaluated by ranking sites based on a sum of the weighted scores for each criterion.…”

Section: Cost-utility Analysismentioning

confidence: 99%

The Economics of Restoration

et al. 2012

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Macro-economic decisions determine the resources allocated at an international and a country-level to natural resource management. Micro-economic theory and tools are then used to ensure that this allocation will materialize into desired economic, environmental and societal outcomes. Restoration projects differ in their costs and benefits. The costs may entail operational costs, and those associated with alternative foregone opportunities. The benefits of restoration may reflect biodiversity outcomes or the provision of ecosystem goods and services, such as the supply of water and carbon sequestration. Restoration also has the potential to ensure supply of timber and non-timber

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“…Some remarkable systems developed with multiple aims in forestry and natural resources are those developed for: hydrographic basins in Australia by Bryan and Crossman (2008); carbon in Canada by Kurz et al (2009); plague control in Poland by Strange et al (1999); landscape management in South Carolina by Li et al (2000); visualization tool for landscape valuation by Falcão et al (2006). The prediction of forest activity future behaviour in its multiple dimensions is inherent to the main aim of forest DSS, therefore, the temporal scale is specially important in the development of this type of applications.…”

Section: Development and Current Situation Of Forest Dssmentioning

confidence: 99%