FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1585683661> ?p ?o ?g. }

• W1585683661 endingPage "37" @default.
• W1585683661 startingPage "26" @default.
• W1585683661 abstract "Bushfires can cause considerable damage to ecosystems, life and property. Protecting human and environmental assets is becoming more difficult as the wildland–urban interface expands in Australia. Fire managers can plan for and manage bushfire events to a greater extent than other large natural disturbances such as cyclones and earthquakes. However, fire strategies that have sought to respond to the increasing bushfire threat with greater suppression capacity do not appear to solve the problem of catastrophic bushfires. Although suppression capacity and the use of technology in bushfire management have greatly increased, the frequency of disastrous fires appears to follow an increasing trend. Improved understanding and comprehensive appraisals of bushfire costs and benefits are needed in order to devise fire mitigation and management programs that optimally allocate resources and express informed, evidence-based judgements about trade-offs between available options. The aim of this project is to provide a comprehensive economic evaluation of alternative fire management programs in Western Australia in order to determine the optimal allocation of scarce resources for bushfire management. In this paper we present our initial investigations into the application of the cost plus net value change (C+NVC) model to bushfire management programs in Western Australia. Florec et al: Economic analysis of bushfire management programs Page | 27 R.P. Thornton & L.J. Wright (Ed) 2013, ‘Proceedings of Bushfire CRC & AFAC 2012 Conference Research Forum’ 28 August 2012, Perth Australia, Bushfire CRC Introduction In Australia, bushfires are the deadliest natural disturbance. Although tropical cyclones, severe storms and floods have been the most costly natural disasters in economic terms (between 1967 and 1999), bushfires have been the most dangerous type of disaster in terms of risk to human life (Bureau of Transport Economics, 2001; Teague et al., 2010). Between 1967 and 1999, bushfires accounted for 7 per cent of total economic losses due to natural disasters in Australia, which is a relatively small proportion of the total cost of disasters. However, during the same period bushfires were the cause of nearly 40 per cent of deaths and around 57 per cent of injuries (Bureau of Transport Economics, 2001). The difference between bushfires and disasters such as cyclones, floods and earthquakes, is that fire managers can plan for and manage bushfire events to a greater extent than other large natural disturbances (Venn and Calkin, 2011). Despite greater suppression capacity, improved predictive systems, a remarkable increase in the use of technology in bushfire management and stronger cooperation between fire agencies, the frequency of large, disastrous fires appears to have increased in Australia and many other parts of the world in the last two decades (Calkin et al., 2005; Morgan, 2009; Williams et al., 2011). Catastrophic bushfires occurred in the summers of 2003, 2005, 20062007 in Australia, and in 2009 the bushfires of Black Saturday resulted in the highest loss of life and property from a bushfire in Australian history (Teague et al., 2010). In the US, a similar pattern can be observed with several states suffering their worst bushfire in history in the past two decades (Williams et al., 2011). In both locations annual suppression expenditures have increased remarkably over the past several years and the risk is that they might continue to increase without necessarily solving (or perhaps worsening) the problem of catastrophic wildfires (Morgan et al., 2007). Fire protection managers and policy–makers have sometimes attempted to exclude fire from the landscape and avoid the disturbance in an effort to protect life and property. However, this often resulted in the accumulation of continuous, homogeneous fuel loads that increased the risk of high fire intensities (Williams et al., 2011). The main objective of fire management is to maximise social welfare by optimally allocating the resources used before, during and after fire events to achieve the most efficient outcome in terms of costs and damages avoided (Ganewatta and Handmer, 2006). The limited human and financial resources available may be utilized in a variety of ways in fire management activities and their alternative uses have different implications for economic, environmental and social assets. The consequences of different uses of fire resources may be profound, thus society needs comprehensive assessments of bushfire costs and benefits and sound analyses of trade-offs between available options. Economics can provide such analyses and help fire mangers and policy–makers devise fire mitigation programs that optimally allocate resources (Handmer and Proudley, 2008). However, the use of economics in the bushfire literature is still relatively limited. Empirical economic analyses of bushfire management are scarce (Mercer et al., 2007). There is limited understanding of bushfire impacts on human communities and ecosystems and little empirical evidence about the extent of total economic damages (or benefits) due to bushfires (Abt et al., 2008). But concerns about the growing number of mega–fires and the increasing Florec et al: Economic analysis of bushfire management programs Page | 28 R.P. Thornton & L.J. Wright (Ed) 2013, ‘Proceedings of Bushfire CRC & AFAC 2012 Conference Research Forum’ 28 August 2012, Perth Australia, Bushfire CRC trend of suppression expenditures have prompted the bushfire economics field to expand. Economic analysis is now being applied to fire management in countries where none was previously applied (e.g. Pedernera et al., 2008; Rodriguez y Silva and Gonzalez-Caban, 2010). In this paper, we apply the cost plus net value change (C+NVC) model to a synthetic landscape, representative of the northern jarrah forest of the south west of Western Australia (WA). The purpose of the study is to determine the most economically efficient presuppression strategy for the synthetic landscape and evaluate which parameters significantly affect the results. We focus on prescribed burning as the main pre-suppression strategy. The primary objective of this model is to provide preliminary results which may inform the development of a more complete model based on actual areas of WA." @default.
• W1585683661 created "2016-06-24" @default.
• W1585683661 creator A5009623099 @default.
• W1585683661 creator A5020718618 @default.
• W1585683661 creator A5053956321 @default.
• W1585683661 creator A5064318053 @default.
• W1585683661 creator A5067078906 @default.
• W1585683661 creator A5086235585 @default.
• W1585683661 date "2013-01-01" @default.
• W1585683661 modified "2023-09-25" @default.
• W1585683661 title "Economic analysis of bushfire management programs: a Western Australian perspective" @default.
• W1585683661 cites W2017647103 @default.
• W1585683661 cites W2054499421 @default.
• W1585683661 cites W2066618446 @default.
• W1585683661 cites W2136628931 @default.
• W1585683661 cites W2166181582 @default.
• W1585683661 cites W2169232608 @default.
• W1585683661 cites W2186044654 @default.
• W1585683661 cites W2204555450 @default.
• W1585683661 cites W2246139195 @default.
• W1585683661 cites W2308997070 @default.
• W1585683661 cites W35975680 @default.
• W1585683661 hasPublicationYear "2013" @default.
• W1585683661 type Work @default.
• W1585683661 sameAs 1585683661 @default.
• W1585683661 citedByCount "0" @default.
• W1585683661 crossrefType "journal-article" @default.
• W1585683661 hasAuthorship W1585683661A5009623099 @default.
• W1585683661 hasAuthorship W1585683661A5020718618 @default.
• W1585683661 hasAuthorship W1585683661A5053956321 @default.
• W1585683661 hasAuthorship W1585683661A5064318053 @default.
• W1585683661 hasAuthorship W1585683661A5067078906 @default.
• W1585683661 hasAuthorship W1585683661A5086235585 @default.
• W1585683661 hasConcept C107826830 @default.
• W1585683661 hasConcept C144133560 @default.
• W1585683661 hasConcept C153294291 @default.
• W1585683661 hasConcept C166566181 @default.
• W1585683661 hasConcept C17744445 @default.
• W1585683661 hasConcept C199539241 @default.
• W1585683661 hasConcept C205649164 @default.
• W1585683661 hasConcept C39410599 @default.
• W1585683661 hasConcept C39432304 @default.
• W1585683661 hasConcept C62555980 @default.
• W1585683661 hasConcept C91375879 @default.
• W1585683661 hasConceptScore W1585683661C107826830 @default.
• W1585683661 hasConceptScore W1585683661C144133560 @default.
• W1585683661 hasConceptScore W1585683661C153294291 @default.
• W1585683661 hasConceptScore W1585683661C166566181 @default.
• W1585683661 hasConceptScore W1585683661C17744445 @default.
• W1585683661 hasConceptScore W1585683661C199539241 @default.
• W1585683661 hasConceptScore W1585683661C205649164 @default.
• W1585683661 hasConceptScore W1585683661C39410599 @default.
• W1585683661 hasConceptScore W1585683661C39432304 @default.
• W1585683661 hasConceptScore W1585683661C62555980 @default.
• W1585683661 hasConceptScore W1585683661C91375879 @default.
• W1585683661 hasLocation W15856836611 @default.
• W1585683661 hasOpenAccess W1585683661 @default.
• W1585683661 hasPrimaryLocation W15856836611 @default.
• W1585683661 hasRelatedWork W1473871156 @default.
• W1585683661 hasRelatedWork W1540367478 @default.
• W1585683661 hasRelatedWork W1581368872 @default.
• W1585683661 hasRelatedWork W2039314663 @default.
• W1585683661 hasRelatedWork W2097935654 @default.
• W1585683661 hasRelatedWork W2103877840 @default.
• W1585683661 hasRelatedWork W2119357311 @default.
• W1585683661 hasRelatedWork W2134452758 @default.
• W1585683661 hasRelatedWork W2184104466 @default.
• W1585683661 hasRelatedWork W2186131114 @default.
• W1585683661 hasRelatedWork W2198736489 @default.
• W1585683661 hasRelatedWork W2310410539 @default.
• W1585683661 hasRelatedWork W2522789110 @default.
• W1585683661 hasRelatedWork W2531226346 @default.
• W1585683661 hasRelatedWork W2546600833 @default.
• W1585683661 hasRelatedWork W2578024875 @default.
• W1585683661 hasRelatedWork W2732494653 @default.
• W1585683661 hasRelatedWork W3092906140 @default.
• W1585683661 hasRelatedWork W3157683430 @default.
• W1585683661 hasRelatedWork W3174312177 @default.
• W1585683661 isParatext "false" @default.
• W1585683661 isRetracted "false" @default.
• W1585683661 magId "1585683661" @default.
• W1585683661 workType "article" @default.