Geographical information system-based forest fire risk assessment integrating national forest inventory data and analysis of its spatiotemporal variability

Wang, You; Lin, Li; Wu, Liyun; Ji, Zhirong; Jianan, Yu; Zhu, Jianqin; Fan, Yunjian

doi:10.1016/j.ecolind.2017.01.042

Cited by 68 publications

(34 citation statements)

References 26 publications

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“…The initial importance ranking of all parameter, useful for weight assignment was done taking in consideration the current bibliography. In agreement with You et al [25], Eskandari [79] and Eugenio et al [18] higher impacts have been attributed to morphological and climatic factor followed by forest type and anthropogenic factors. The maps for each parameter are shown in Figure 4.…”

Section: Ffr Assessment For 2018supporting

confidence: 88%

“…Elevation and slope were classified using equal interval according to site characteristics, for example, considering elevation, there was a general tendency of higher fire ignition risk at lower elevations [72]. Aspect, instead, was classified according to current literature [18,25,73] considering common patterns of a lower ignition risk in northern aspects. The land cover was classified attributing a higher risk to grassland and conifers, together with pine plantation, medium risk to broad leafed forest, and lower risk to mixed forest according with You et al [25].…”

Section: Forest Fire Risk Assessmentmentioning

confidence: 99%

“…Aspect, instead, was classified according to current literature [18,25,73] considering common patterns of a lower ignition risk in northern aspects. The land cover was classified attributing a higher risk to grassland and conifers, together with pine plantation, medium risk to broad leafed forest, and lower risk to mixed forest according with You et al [25]. The climatic factor was classified using equal intervals according to site characteristics, following the general assumption that a lower risk is connected to lower temperatures and higher precipitation.…”

Section: Forest Fire Risk Assessmentmentioning

confidence: 99%

“…On the other hand, the use of spatial data with different ages, scales, and resolutions can bring uncertainties and imprecisions in the FFR assessment [22][23][24]. In many countries, such as China [25], Spain [26], France [27], Brazil [18], Portugal, Corsica, and Greece [28,29], these tools have been successfully used and incorporated in forest management plans. Also, for the Italian peninsula, some studies have been realized.…”

Section: Introductionmentioning

confidence: 99%

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A Hybrid GIS and AHP Approach for Modelling Actual and Future Forest Fire Risk Under Climate Change Accounting Water Resources Attenuation Role

et al. 2019

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Forest wildfires usually occur due to natural processes such as lightning and volcanic eruptions, but at the same time they are also an effect of uncontrolled and illegal anthropogenic activities. Different factors can influence forest wildfires, like the type of vegetation, morphology, climate, and proximity to human activities. A precise evaluation of forest fire issues and of the countermeasures needed to limit their impact could be satisfactory especially when forest fire risk (FFR) mapping is available. Here, we proposed an FFR evaluation methodology based on Geographic Information System (GIS) and the analytic hierarchy process (AHP). The study area is the Campania region (Southern Italy) that, for the last 30 years, has been affected by numerous wildfires. The proposed methodology analyzed 12 factors, and AHP was used for weight assignment, offering a new approach to some parameters. The method divided the study area into five risk classes, from very low to very high. Validation with fire alerts showed a good correlation between observed and predicted fires (0.79 R2). Analyzing the climate projections, a future FFR for 2040 was also assessed. The proposed methodology represents a reliable screening tool to identify areas under forest fire risk, and can help authorities to direct preventive actions.

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Section: Ffr Assessment For 2018supporting

confidence: 88%

Section: Forest Fire Risk Assessmentmentioning

confidence: 99%

Section: Forest Fire Risk Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Hybrid GIS and AHP Approach for Modelling Actual and Future Forest Fire Risk Under Climate Change Accounting Water Resources Attenuation Role

et al. 2019

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“…Mapas de risco são gerados por meio do uso de Sistema de Informações Geográficas (SIG) e são criados pela sobreposição de mapas temáticos de riscos específicos a partir da integração dos fatores que podem causar a ignição e que influenciam na propagação dos incêndios CHUVIECO, 1994;FERRAZ;VETTORAZZI, 1998;CHUVIECO et al, 2010;YOU et al, 2017). A elaboração do mapa final de zoneamento de risco envolve a criação de um algoritmo ou modelo matemático que expresse numericamente a interação das variáveis analisadas, na influência sobre o início e propagação do fogo (SOARES;BATISTA, 2007).…”

Section: Introductionunclassified

Mapeamento da probabilidade de incêndio e de cicatrizes de dano como suporte ao manejo florestal

Prata¹

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Mapeamento da probabilidade de incêndio e de cicatrizes de dano como suporte ao manejo florestal / Gabriel Atticciati Prata.-versão revisada de acordo com a resolução CoPGr 6018 de 2011.-Piracicaba, 2019. 97 p. Tese (Doutorado)-USP / Escola Superior de Agricultura "Luiz de Queiroz". 1. Incêndio 2. Probabilidade de incêndio 3. Cicatriz de dano 4. Aprendizado de máquinas I. Título AGRADECIMENTOS À toda minha família, por ter me proporcionado os meios possíveis para que eu chegasse até aqui, especialmente à minha esposa Sofia e ao meu filho Caio, que estiveram ao meu lado todos os dias desta jornada. Ao Professor Dr. Luiz Carlos Estraviz Rodriguez, meu orientador e amigo, que me apresentou caminhos, idéias, contatos e conhecimentos para o êxito deste trabalho. À pesquisadora Brigite Botequim, inspiradora desta tese, amiga, que dedicou bastante tempo, atenção e proporcionou excelente contribuição a este trabalho. À Empresa Fibria Papel e Celulose por ceder os dados do estudo. Ao Jefferson Polizel, pela amizade, enorme disposição e ensinamentos. Ao pesquisador Andrew Hudak por ter viabilizado meu intercâmbio ao Serviço Florestal Americano (USDA FS) em Moscow/Idaho e proporcionado todo o suporte da estadia nos EUA, além das contribuições com idéias e conhecimento para o desenvolvimento desta tese. Aos pesquisadores do USDA FS Ben Bright e Kas Dumroese, pela contribuição no aprendizado, amizade e todo apoio proporcionado e ao Lucca Schonthaler pela parceria e amizade.

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Integrating AHP and GIS Techniques for Rural Landscape and Agricultural Activities Planning

Rovai

Andreoli

2018

Multicriteria Analysis in Agriculture

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This chapter aims at providing some insights on the usefulness of the analytic hierarchy process (AHP) in the context of geographic multi-criteria analysis applied to GIS techniques for empirical applications. The increasing complexity in planning and programming applied to rural landscape and territories asks for multidisciplinary and transdisciplinary approaches based on a holistic knowledge system. The AHP allows organizing in a hierarchic way both quantitative and qualitative information related to different disciplines, usually expressed in incommensurable measure units. Participatory approaches can be included either through information based on the perception of the value of indicators (criteria) or by providing weights on the relative importance of the elements included in each hierarchical level. When applied to GIS techniques, the AHP allows taking into account both spatial distribution of elements/information and their physical relations, which are paramount for the analysis of interventions about landscape, biodiversity, etc. This chapter illustrates four case studies from Tuscany Region (Italy) where this approach has been applied. Results highlight the flexibility of this approach in planning, programming and designing specific interventions where several biophysical characteristics of a territory or landscape have to be integrated with socioeconomic information both at territorial and farm levels. Results show that it is possible to increase the effectiveness and efficiency of tools for the territorial governance by applying a scientifically sound approach that does not ask for complex mathematical models and provides a methodology and results that can be understood also by "non-experts", improving participation processes.

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Geographical information system-based forest fire risk assessment integrating national forest inventory data and analysis of its spatiotemporal variability

Cited by 68 publications

References 26 publications

A Hybrid GIS and AHP Approach for Modelling Actual and Future Forest Fire Risk Under Climate Change Accounting Water Resources Attenuation Role

A Hybrid GIS and AHP Approach for Modelling Actual and Future Forest Fire Risk Under Climate Change Accounting Water Resources Attenuation Role

Mapeamento da probabilidade de incêndio e de cicatrizes de dano como suporte ao manejo florestal

Integrating AHP and GIS Techniques for Rural Landscape and Agricultural Activities Planning

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