A decision support system for managing forest fire casualties

Bonazountas, Marc; Kallidromitou, Despina; Kassomenos, Pavlos; Passas, Nikos

doi:10.1016/j.jenvman.2006.06.016

Cited by 69 publications

(38 citation statements)

References 9 publications

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“…Forest fire risk has been included in forest planning in several ways (e.g. González et al, 2005;González-Olabarría et al, 2008;Hyytiainen and Haight, 2010;García-Gonzalo et al, 2011a;Ferreira et al, 2011Ferreira et al, , 2012, and in fact forest fire risk is one of the few examples where uncertainty and risk is considered in forestry DSSs (Kaloudis et al, 2005;Bonazountas et al, 2007). In Europe during 1950-2000, wind storms were responsible for 53% and forest fires for 16% of forest damages (Schelhaas et al, 2003).…”

Section: Methodsmentioning

confidence: 99%

“…Simulated Annealing). Examples of fire management DSSs these are Wildfire Destruction Danger Index WFDDI (Kaloudis et al, 2005), which utilizes fuzzy set theory and DSS for managing forest fire casualties (Bonazountas et al, 2007), where the uncertainty considerations are based on Monte Carlo simulation. Intensive and costly spruce budworm outbreaks in Eastern Canada led to the development of Spruce Budworm Decision Support System SBW DSS (MacLean et al, 2001), which calculates the marginal timber yield utilities for protecting against budworm outbreaks.…”

Section: Forestry Dsss Involving Uncertainty and Risk Considerationsmentioning

confidence: 99%

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Review. Assessing uncertainty and risk in forest planning and decision support systems: review of classical methods and introduction of new approaches

Pasalodos-Tato

Mäkinen²,

García-Gonzalo³

et al. 2013

For. syst.

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Aim: Since forest planning is characterized by long time horizon and it typically involves large areas of land and numerous stakeholders, uncertainty and risk should play an important role when developing forest management plans. The aim of this study is to review different methods to deal with risk and uncertainty in forest planning, listing problems that forest managers may face during the preparation of management plans and trying to give recommendations in regard to the application of each method according to the problem case. The inclusion of risk and uncertainty in decision support systems is also analyzed.Area: It covers the temporal and spatial scale of forest planning, the spatial context, the participation process, the objectives dimensions and the good and services addressed.Material and methods: Several hundreds of articles dealing with uncertainty and risk were identified regarding different forestry-related topics and approaches. Form them, around 170 articles were further reviewed, categorized and evaluated.Main results: The study presents a thorough review and classification of methods and approaches to consider risk and uncertainty in forest planning. Moreover, new approaches are introduced, showing the opportunities that their application present in forest planning.Research highlights: The study can aid forest managers in the decision making process when designing a forest management plan considering risk and uncertainty.Keywords: operations research; optimal alternative; stochastic risk; endogenous risk; stand level; forest level.

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Section: Methodsmentioning

confidence: 99%

Section: Forestry Dsss Involving Uncertainty and Risk Considerationsmentioning

confidence: 99%

Review. Assessing uncertainty and risk in forest planning and decision support systems: review of classical methods and introduction of new approaches

Pasalodos-Tato

Mäkinen²,

García-Gonzalo³

et al. 2013

For. syst.

View full text Add to dashboard Cite

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“…The basic models-subsystems which comprise the structural elements for managing forest fires, and most DSSs use, are the following (Bonazountas et al 2007;Dimopoulou and Giannikos 2004;European Commission 2012a;Giovando et al 2013;Glasa 2009;Gumusay and Sahin 2009;Kalabokidis et al 2012;Keramitsoglou et al 2004;Lee et al 2002Lee et al , 2010Noonan-Wright et al 2011;Wybo 1998):…”

Section: Structural Elements Of Dsssmentioning

confidence: 99%

Review of state-of-the-art decision support systems (DSSs) for prevention and suppression of forest fires

et al. 2017

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Forest ecosystems are our priceless natural resource and are a key component of the global carbon budget. Forest fires can be a hazard to the viability and sustainable management of forests with consequences for natural and cultural environments, economies, and the life quality of local and regional populations. Thus, the selection of strategies to manage forest fires, while considering both functional and economic efficiency, is of primary importance. The use of decision support systems (DSSs) by managers of forest fires has rapidly increased. This has strengthened capacity to prevent and suppress forest fires while protecting human lives and property. DSSs are a tool that can benefit incident management and decision making and policy, especially for emergencies such as natural disasters. In this study we reviewed state-of-the-art DSSs that use: database management systems and mathematical/ economic algorithms for spatial optimization of firefighting forces; forest fire simulators and satellite technology for immediate detection and prediction of evolution of forest fires; GIS platforms that incorporate several tools to manipulate, process and analyze geographic data and develop strategic and operational plans.

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“…Thousands of hectares of forest landscapes burn every year, with serious consequences to the environment [167]. It is well known that fire is essential in Mediterranean landscapes for ecosystem function and some species have reproductive mechanisms that require burning or high temperatures [168].…”

Section: Forest Fire Prevention/restorationmentioning

confidence: 99%

Multifaceted Impacts of Sustainable Land Management in Drylands: A Review

et al. 2016

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Biophysical restoration or rehabilitation measures of land have demonstrated to be effective in many scientific projects and small-scale environmental experiments. However circumstances such as poverty, weak policies, or inefficient scientific knowledge transmission can hinder the effective upscaling of land restoration and the long term maintenance of proven sustainable use of soil and water. This may be especially worrisome in lands with harsh environmental conditions. This review covers recent efforts in landscape restoration and rehabilitation with a functional perspective aiming to simultaneously achieve ecosystem sustainability, economic efficiency, and social wellbeing. Water management and rehabilitation of ecosystem services in croplands, rangelands, forests, and coastlands are reviewed. The joint analysis of such diverse ecosystems provides a wide perspective to determine: (i) multifaceted impacts on biophysical and socio-economic factors; and (ii) elements influencing effective upscaling of sustainable land management practices. One conclusion can be highlighted: voluntary adoption is based on different pillars, i.e. external material and economic support, and spread of success information at the local scale to demonstrate the multidimensional benefits of sustainable land management. For the successful upscaling of land management, more attention must be paid to the social system from the first involvement stage, up to the long term maintenance.

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A decision support system for managing forest fire casualties

Cited by 69 publications

References 9 publications

Review. Assessing uncertainty and risk in forest planning and decision support systems: review of classical methods and introduction of new approaches

Review. Assessing uncertainty and risk in forest planning and decision support systems: review of classical methods and introduction of new approaches

Review of state-of-the-art decision support systems (DSSs) for prevention and suppression of forest fires

Multifaceted Impacts of Sustainable Land Management in Drylands: A Review

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