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Journal articles on the topic 'Wildfires Wildfire risk Economics'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Balch, Jennifer K., Bethany A. Bradley, John T. Abatzoglou, R. Chelsea Nagy, Emily J. Fusco, and Adam L. Mahood. "Human-started wildfires expand the fire niche across the United States." Proceedings of the National Academy of Sciences 114, no. 11 (2017): 2946–51. http://dx.doi.org/10.1073/pnas.1617394114.

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The economic and ecological costs of wildfire in the United States have risen substantially in recent decades. Although climate change has likely enabled a portion of the increase in wildfire activity, the direct role of people in increasing wildfire activity has been largely overlooked. We evaluate over 1.5 million government records of wildfires that had to be extinguished or managed by state or federal agencies from 1992 to 2012, and examined geographic and seasonal extents of human-ignited wildfires relative to lightning-ignited wildfires. Humans have vastly expanded the spatial and season

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Butry, David T., Jeffrey P. Prestemon, Karen L. Abt, and Ronda Sutphen. "Economic optimisation of wildfire intervention activities." International Journal of Wildland Fire 19, no. 5 (2010): 659. http://dx.doi.org/10.1071/wf09090.

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We describe how two important tools of wildfire management, wildfire prevention education and prescribed fire for fuels management, can be coordinated to minimise the combination of management costs and expected societal losses resulting from wildland fire. We present a long-run model that accounts for the dynamics of wildfire, the effects of fuels management on wildfire ignition risk and area burned, and the effects of wildfire prevention education on the ignition risk of human-caused, unintentional wildfires. Based on wildfire management activities in Florida from 2002 to 2007, we find that

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García-Ortega, E., M. T. Trobajo, L. López, and J. L. Sánchez. "Synoptic patterns associated with wildfires caused by lightning in Castile and Leon, Spain." Natural Hazards and Earth System Sciences 11, no. 3 (2011): 851–63. http://dx.doi.org/10.5194/nhess-11-851-2011.

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Abstract. The Iberian Peninsula presents the highest number of wildfires in Europe. In the NW of Spain in particular, wildfires are the natural risk with the greatest economic impact in this region. Wildfires caused by lightning are closely related to the triggering of convective phenomena. The prediction of thunderstorms is a very complex task because these weather events have a local character and are highly dependent on mesoscale atmospheric conditions. The development of convective storms is directly linked to the existence of a synoptic environment favoring convection. The aim of this stu

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Holmes, Thomas P., Armando González-Cabán, John Loomis, and José Sánchez. "The effects of personal experience on choice-based preferences for wildfire protection programs." International Journal of Wildland Fire 22, no. 2 (2013): 234. http://dx.doi.org/10.1071/wf11182.

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In this paper, we investigate homeowner preferences and willingness to pay for wildfire protection programs using a choice experiment with three attributes: risk, loss and cost. Preference heterogeneity among survey respondents was examined using three econometric models and risk preferences were evaluated by comparing willingness to pay for wildfire protection programs against expected monetary losses. The results showed that while nearly all respondents had risk seeking preferences, a small segment of respondents were risk neutral or risk averse. Only respondents who had personal experience

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Malik, Ashima, Megha Rajam Rao, Nandini Puppala, et al. "Data-Driven Wildfire Risk Prediction in Northern California." Atmosphere 12, no. 1 (2021): 109. http://dx.doi.org/10.3390/atmos12010109.

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Over the years, rampant wildfires have plagued the state of California, creating economic and environmental loss. In 2018, wildfires cost nearly 800 million dollars in economic loss and claimed more than 100 lives in California. Over 1.6 million acres of land has burned and caused large sums of environmental damage. Although, recently, researchers have introduced machine learning models and algorithms in predicting the wildfire risks, these results focused on special perspectives and were restricted to a limited number of data parameters. In this paper, we have proposed two data-driven machine

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6

Sarro, Roberto, Ignacio Pérez-Rey, Roberto Tomás, Leandro R. Alejano, Luis Enrique Hernández-Gutiérrez, and Rosa María Mateos. "Effects of Wildfire on Rockfall Occurrence: A Review through Actual Cases in Spain." Applied Sciences 11, no. 6 (2021): 2545. http://dx.doi.org/10.3390/app11062545.

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Understanding processes and conditions that lead to rockfalls during and after a wildfire in different geological contexts is crucial since this phenomenon is one of the major hazards in mountainous regions across Europe. Spain is one of the European countries with the highest rate of wildfires, and rockfalls cause high economic and social impact, with many fatalities every year. The increase of rockfalls during and after wildfires is connected with the merging of different factors, not only in the detached area but also in the propagation and potentially affected area. When wildfire occurred,

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Silva, Nathália Thaís Cosmo da, Urbano Fra.Paleo, and José Ambrósio Ferreira Neto. "Conflicting Discourses on Wildfire Risk and the Role of Local Media in the Amazonian and Temperate Forests." International Journal of Disaster Risk Science 10, no. 4 (2019): 529–43. http://dx.doi.org/10.1007/s13753-019-00243-z.

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AbstractThis article examines how risk is communicated by different actors, particularly local print newspapers and actors at the community level, in two different geographical contexts that are severely affected by wildfires—the Brazilian Amazon and Atlantic Spain. We analyzed how wildfire risk is framed in local print media and local actor discourse to elucidate how wildfire risk is interpreted and aimed to identify the main priorities of these risk governance systems. The main findings reveal that the presentation of wildfire as a spectacle is a serious obstacle to the promotion of coherent

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Gan, Jianbang, Adam Jarrett, and Cassandra Johnson Gaither. "Wildfire risk adaptation: propensity of forestland owners to purchase wildfire insurance in the southern United States." Canadian Journal of Forest Research 44, no. 11 (2014): 1376–82. http://dx.doi.org/10.1139/cjfr-2014-0301.

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The economic and ecological damages caused by wildfires are alarming. Because such damages are expected to increase with changes in wildfire regimes, this calls for more effective wildfire mitigation and adaptation strategies. Wildfire adaptation options for forestland owners include purchasing wildfire insurance, which provides compensation to those insured if a wildfire damages their properties. We attempt to (i) identify factors that influence the decision of family forestland owners in the southern United States to purchase wildfire insurance for their forestlands via logistic regression u

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9

Sharma, Sonisa, and Kundan Dhakal. "Boots on the Ground and Eyes in the Sky: A Perspective on Estimating Fire Danger from Soil Moisture Content." Fire 4, no. 3 (2021): 45. http://dx.doi.org/10.3390/fire4030045.

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With increasing forest and grassland wildfire trends strongly correlated to anthropogenic climate change, assessing wildfire danger is vital to reduce catastrophic human, economic, and environmental loss. From this viewpoint, the authors discuss various approaches deployed to evaluate wildfire danger, from in-situ observations to satellite-based fire prediction systems. Lately, the merit of soil moisture in predicting fuel moisture content and the likelihood of wildfire occurrence has been widely realized. Harmonized soil moisture measurement initiatives via state-of-the-art soil moisture netw

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10

Salis, Michele, Alan A. Ager, Bachisio Arca, et al. "Assessing exposure of human and ecological values to wildfire in Sardinia, Italy." International Journal of Wildland Fire 22, no. 4 (2013): 549. http://dx.doi.org/10.1071/wf11060.

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We used simulation modelling to analyse spatial variation in wildfire exposure relative to key social and economic features on the island of Sardinia, Italy. Sardinia contains a high density of urban interfaces, recreational values and highly valued agricultural areas that are increasingly being threatened by severe wildfires. Historical fire data and wildfire simulations were used to estimate burn probabilities, flame length and fire size. We examined how these risk factors varied among and within highly valued features located on the island. Estimates of burn probability excluding non-burnab

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Isaac, Fadia, Samia Toukhsati, Mirella Di Benedetto, and Gerard Kennedy. "A Systemic Review of the Impact of Wildfires on Sleep Disturbances." International Journal of Environmental Research and Public Health 18, no. 19 (2021): 10152. http://dx.doi.org/10.3390/ijerph181910152.

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Wildfires present a serious risk to humans as well as to the environment. Wildfires cause loss of lives, economic losses, expose people to personal as well as collective trauma, and compromise the mental health of survivors. Sleep disturbances are highly prevalent following a traumatic event; however, their prevalence is not well established amongst those confronted by natural disasters such as wildfires. The aim of this systematic review is to synthesise the empirical findings pertaining to wildfires and the prevalence of sleep disturbances in the general community affected by this natural di

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de Diego, Jaime, Antonio Rúa, and Mercedes Fernández. "Designing a Model to Display the Relation between Social Vulnerability and Anthropogenic Risk of Wildfires in Galicia, Spain." Urban Science 3, no. 1 (2019): 32. http://dx.doi.org/10.3390/urbansci3010032.

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Since the beginning of the 21st century, most of the forest fires that have occured in Spain have taken place in the northern region of Galicia. This area represents 5.8% of the Spanish territory, but compromises, in certain years, up to 50% of the total number of wildfires. Current research on forest fires is focused mostly on physical or meteorological characteristics, post-fire situations, and their potential destructive capacities (main areas burnt, type of vegetation, economic loses, etc.). However, the academic research to date has not delved into other socioeconomic factors (population

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13

Drolet, Julie L., Caroline McDonald-Harker, Nasreen Lalani, Meagan McNichol, Matthew R. G. Brown, and Peter H. Silverstone. "Social, Economic and Health Effects of the 2016 Alberta Wildfires: Pediatric Resilience." Journal of Disaster Research 15, no. 7 (2020): 833–44. http://dx.doi.org/10.20965/jdr.2020.p0833.

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The 2016 Alberta wildfires resulted in devastating human, socio-economic, and environmental impacts. Very little research has examined pediatric resilience (5–18 years) in disaster-affected communities in Canada. This article discusses the effects of the wildfire on child and youth mental health, community perspectives on how to foster resilience post-disaster, and lessons learned about long-term disaster recovery by drawing on data collected from 75 community influencers following the 2016 Alberta wildfires. Community influencers engaged in the delivery of services and programs for children,

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14

Knorr, Wolfgang, Frank Dentener, Jean-François Lamarque, Leiwen Jiang, and Almut Arneth. "Wildfire air pollution hazard during the 21st century." Atmospheric Chemistry and Physics 17, no. 14 (2017): 9223–36. http://dx.doi.org/10.5194/acp-17-9223-2017.

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Abstract. Wildfires pose a significant risk to human livelihoods and are a substantial health hazard due to emissions of toxic smoke. Previous studies have shown that climate change, increasing atmospheric CO2, and human demographic dynamics can lead to substantially altered wildfire risk in the future, with fire activity increasing in some regions and decreasing in others. The present study re-examines these results from the perspective of air pollution risk, focussing on emissions of airborne particulate matter (PM2. 5), combining an existing ensemble of simulations using a coupled fire–dyna

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15

Adaktylou, Nektaria, Dimitris Stratoulias, and Rick Landenberger. "Wildfire Risk Assessment Based on Geospatial Open Data: Application on Chios, Greece." ISPRS International Journal of Geo-Information 9, no. 9 (2020): 516. http://dx.doi.org/10.3390/ijgi9090516.

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Wildfires burn tens of thousands of hectares of forest, chaparral and grassland in Mediterranean countries every year, giving rise to landscape, ecologic, economic, and public safety concerns. On the Greek island of Chios and in many other Mediterranean landscapes, areas affected by fire are difficult to access and control due to rugged terrain, requiring wildfire preparedness and response plans that support fire fighting. This study utilized open source data and a weighted linear combination to extract factors that determine wildfire risk. Landsat satellite imagery and publicly available geos

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Calviño-Cancela, María, and Nuria Cañizo-Novelle. "Human dimensions of wildfires in NW Spain: causes, value of the burned vegetation and administrative measures." PeerJ 6 (September 26, 2018): e5657. http://dx.doi.org/10.7717/peerj.5657.

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Exploring the human dimensions of forest fires is a crucial, although often overlooked, aspect of wildfire research, since wildfires often have important socio-economic impacts and humans are nowadays the main cause of wildfires in many areas of the world. We carried out a telephone survey (N = 345 interviews) in one of the most fire-prone areas in Europe (NW Spain) in order to assess citizens’ awareness about wildfire causes and risks, their perception of the value of the vegetation and of administrative measures to fight against fires. Perceptions of respondents about fire causes were in gen

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17

Penman, T. D., O. Price, and R. A. Bradstock. "Bayes Nets as a method for analysing the influence of management actions in fire planning." International Journal of Wildland Fire 20, no. 8 (2011): 909. http://dx.doi.org/10.1071/wf10076.

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Wildfire can result in significant economic costs with inquiries following such events often recommending an increase in management effort to reduce the risk of future losses. Currently, there are no objective frameworks in which to assess the relative merits of management actions or the synergistic way in which the various combinations may act. We examine the value of Bayes Nets as a method for assessing the risk reduction from fire management practices using a case study from a forested landscape. Specifically, we consider the relative reduction in wildfire risk from investing in prescribed

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18

Colantoni, Andrea, Gianluca Egidi, Giovanni Quaranta, et al. "Sustainable Land Management, Wildfire Risk and the Role of Grazing in Mediterranean Urban-Rural Interfaces: A Regional Approach from Greece." Land 9, no. 1 (2020): 21. http://dx.doi.org/10.3390/land9010021.

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Mediterranean regions are likely to be the most vulnerable areas to wildfires in Europe. In this context, land-use change has promoted land abandonment and the consequent accumulation of biomass (fuel) in (progressively less managed) forests and (non-forest) natural land, causing higher fire density and severity, economic damage, and land degradation. The expansion of Wildland-Urban Interfaces (WUIs) further affects fire density by negatively impacting peri-urban farming and livestock density. Assuming the role of grazing in controlling fuel accumulation in forests and non-forest natural land

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19

Alcasena-Urdíroz, F. J., C. Vega-García, A. A. Ager, et al. "Metodología de evaluación del riesgo de incendios forestales y priorización de tratamientos multifuncionales en paisajes mediterráneos." Cuadernos de Investigación Geográfica 45, no. 2 (2019): 571. http://dx.doi.org/10.18172/cig.3716.

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In Mediterranean areas, the combined effects of the rural exodus, lack of forest management, and fire suppression policies have substantially contributed to increased forest fuel loadings and continuity over large areas. The result is a growing incidence of wildfires that exceed fire suppression capacity. Economic resources for landscape management are limited, and thus they must be prioritized towards the protection of valued assets where there is a high expectation of loss and the fuel treatments on strategic locations that restrict fires spreading into communities. We completed a case study

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20

Petrovic, N., and J. M. Carlson. "A decision-making framework for wildfire suppression." International Journal of Wildland Fire 21, no. 8 (2012): 927. http://dx.doi.org/10.1071/wf11140.

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This paper addresses two fundamental issues that arise broadly in human response to natural hazards: the effect on overall costs of the high variability (power laws) in event size statistics and complexities associated with combining disparate sources of information in decision-making. To address these issues in a series of concrete scenarios, we analyse data for California wildfires. We also develop a modelling framework that projects costs based on the combination of a dynamic fire spread model, an economic cost model and population data. Our study uses model-generated fire catalogues to est

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21

Zhang, Yang, and Samsung Lim. "Drivers of Wildfire Occurrence Patterns in the Inland Riverine Environment of New South Wales, Australia." Forests 10, no. 6 (2019): 524. http://dx.doi.org/10.3390/f10060524.

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In the inland riverine environment of Australia, wildfires not only threaten human life and cause economic loss but also make distinctive impacts on the ecosystem (e.g., injuring or killing fire-sensitive wetland species such as the river red gum). Understanding the drivers of wildfire occurrence patterns in this particular environment is vital for fire-risk reduction and ecologically sustainable management. This study investigated patterns and driving factors of wildfire occurrence over the years from 2001 to 2016 and across the New South Wales side of the Riverina bioregion. Descriptive anal

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22

Shafran, Aric P. "Risk externalities and the problem of wildfire risk." Journal of Urban Economics 64, no. 2 (2008): 488–95. http://dx.doi.org/10.1016/j.jue.2008.05.001.

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23

McCoy, Shawn J., and Randall P. Walsh. "Wildfire risk, salience & housing demand." Journal of Environmental Economics and Management 91 (September 2018): 203–28. http://dx.doi.org/10.1016/j.jeem.2018.07.005.

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24

Mäkelä, H. M., M. Laapas, and A. Venäläinen. "Long-term temporal changes in the occurrence of a high forest fire danger in Finland." Natural Hazards and Earth System Sciences 12, no. 8 (2012): 2591–601. http://dx.doi.org/10.5194/nhess-12-2591-2012.

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Abstract. Climate variation and change influence several ecosystem components including forest fires. To examine long-term temporal variations of forest fire danger, a fire danger day (FDD) model was developed. Using mean temperature and total precipitation of the Finnish wildfire season (June–August), the model describes the climatological preconditions of fire occurrence and gives the number of fire danger days during the same time period. The performance of the model varied between different regions in Finland being best in south and west. In the study period 1908–2011, the year-to-year var

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Langpap, Christian, and JunJie Wu. "Preemptive Incentives and Liability Rules for Wildfire Risk Management." American Journal of Agricultural Economics 103, no. 5 (2021): 1783–801. http://dx.doi.org/10.1111/ajae.12220.

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26

Alexandre, Patricia M., Miranda H. Mockrin, Susan I. Stewart, Roger B. Hammer, and Volker C. Radeloff. "Rebuilding and new housing development after wildfire." International Journal of Wildland Fire 24, no. 1 (2015): 138. http://dx.doi.org/10.1071/wf13197.

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The number of wildland–urban interface communities affected by wildfire is increasing, and both wildfire suppression and losses are costly. However, little is known about post-wildfire response by homeowners and communities after buildings are lost. Our goal was to characterise rebuilding and new development after wildfires across the conterminous United States. We analysed all wildfires in the conterminous USA from 2000 to 2005. We mapped 42 724 buildings, of which 34 836 were present before the fire and survived, 3604 were burned, 2403 were post-fire new development, and 1881 were burned and

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27

Shilin, Mikhail, Igor Sikarev, Evgeniy Baikov, George Gogoberidze, and Oksana Petrieva. "Digitalization wildfire management near smart city." E3S Web of Conferences 258 (2021): 01003. http://dx.doi.org/10.1051/e3sconf/202125801003.

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In article, there are considered results in digitalization wildfire management near smart city within Industry 4.0 period, when while climate change and Covid-19 pandemic. While research, there are used methods of data bases constructing, web-technologies and virtual reality tools. Also, there are used Foresight technologies, theory of decision making under uncertainties and risk management. As digitalization tools, authors propose to use online platforms, which integrate heterogeneous hardware and software resources in distributed networks. As study result, there is proposed a block model, th

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Donovan, G. H., P. A. Champ, and D. T. Butry. "Wildfire Risk and Housing Prices: A Case Study from Colorado Springs." Land Economics 83, no. 2 (2007): 217–33. http://dx.doi.org/10.3368/le.83.2.217.

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Busby, G. M., H. J. Albers, and C. A. Montgomery. "Wildfire Risk Management in a Landscape with Fragmented Ownership and Spatial Interactions." Land Economics 88, no. 3 (2012): 496–517. http://dx.doi.org/10.3368/le.88.3.496.

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30

Dunn, Christopher J., David E. Calkin, and Matthew P. Thompson. "Towards enhanced risk management: planning, decision making and monitoring of US wildfire response." International Journal of Wildland Fire 26, no. 7 (2017): 551. http://dx.doi.org/10.1071/wf17089.

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Wildfire’s economic, ecological and social impacts are on the rise, fostering the realisation that business-as-usual fire management in the United States is not sustainable. Current response strategies may be inefficient and contributing to unnecessary responder exposure to hazardous conditions, but significant knowledge gaps constrain clear and comprehensive descriptions of how changes in response strategies and tactics may improve outcomes. As such, we convened a special session at an international wildfire conference to synthesise ongoing research focused on obtaining a better understanding

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31

Ning, Zhuo, and Changyou Sun. "Forest management with wildfire risk, prescribed burning and diverse carbon policies." Forest Policy and Economics 75 (February 2017): 95–102. http://dx.doi.org/10.1016/j.forpol.2016.10.004.

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32

Ohlson, Dan W., Trent M. Berry, Robert W. Gray, Bruce A. Blackwell, and Brad C. Hawkes. "Multi-attribute evaluation of landscape-level fuel management to reduce wildfire risk." Forest Policy and Economics 8, no. 8 (2006): 824–37. http://dx.doi.org/10.1016/j.forpol.2005.01.001.

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Mercer, D. Evan, and Jeffrey P. Prestemon. "Comparing production function models for wildfire risk analysis in the wildland–urban interface." Forest Policy and Economics 7, no. 5 (2005): 782–95. http://dx.doi.org/10.1016/j.forpol.2005.03.003.

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Mueller, Julie, John Loomis, and Armando González-Cabán. "Do Repeated Wildfires Change Homebuyers’ Demand for Homes in High-Risk Areas? A Hedonic Analysis of the Short and Long-Term Effects of Repeated Wildfires on House Prices in Southern California." Journal of Real Estate Finance and Economics 38, no. 2 (2007): 155–72. http://dx.doi.org/10.1007/s11146-007-9083-1.

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Mylek, Melinda R., and Jacki Schirmer. "Understanding acceptability of fuel management to reduce wildfire risk: Informing communication through understanding complexity of thinking." Forest Policy and Economics 113 (April 2020): 102120. http://dx.doi.org/10.1016/j.forpol.2020.102120.

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Susaeta, Andres, Douglas R. Carter, Sun Joseph Chang, and Damian C. Adams. "A generalized Reed model with application to wildfire risk in even-aged Southern United States pine plantations." Forest Policy and Economics 67 (June 2016): 60–69. http://dx.doi.org/10.1016/j.forpol.2016.03.009.

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Nasanbat, E., O. Lkhamjav, A. Balkhai, C. Tsevee-Oirov, A. Purev, and M. Dorjsuren. "A SPATIAL DISTRIBUTIONMAP OF THE WILDFIRE RISK IN MONGOLIA USING DECISION SUPPORT SYSTEM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W4 (March 6, 2018): 357–62. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w4-357-2018.

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<p><strong>Abstract.</strong> Wildfire is a cause of major disturbance to ecosystems and economies throughout the world. Hence, the wildfire is a vital issue of environment for creating natural disaster and socio-economic damage to affect in ecosystem and human lives. Moreover, the forest and steppe fire are one of natural risks in issues of Mongolian economy. This paper attempted to identify a spatial distribution of both risk and damage cost of the wildfire in Mongolia. The variables are to affect in the forest and steppe fire such as a biophysical parameters, field and sta

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Skroblin, Anja, Sarah Legge, Terry Webb, and Leigh P. Hunt. "EcoFire: regional-scale prescribed burning increases the annual carrying capacity of livestock on pastoral properties by reducing pasture loss from wildfire." Rangeland Journal 36, no. 2 (2014): 133. http://dx.doi.org/10.1071/rj13095.

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Prescribed burning is an important management tool in the extensive pastoral lands in northern Australia. It can be used to influence grazing patterns, increase the nutritive value of pastures, reduce the density of woody shrubs and reduce the risk of damaging wildfires. The consequences of regional-scale prescribed burning on pasture availability and annual carrying capacities of pastoral properties in northern Australia were examined using EcoFire, a fire management program in the Kimberley Region of north-west Australia, as an example. Theoretical long-term carrying capacities of land syste

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Fischer, A. Paige. "Identifying policy target groups with qualitative and quantitative methods: The case of wildfire risk on nonindustrial private forest lands." Forest Policy and Economics 25 (December 2012): 62–71. http://dx.doi.org/10.1016/j.forpol.2012.08.008.

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TALBERTH, JOHN, ROBERT P. BERRENS, MICHAEL MCKEE, and MICHAEL JONES. "AVERTING AND INSURANCE DECISIONS IN THE WILDLANDâURBAN INTERFACE: IMPLICATIONS OF SURVEY AND EXPERIMENTAL DATA FOR WILDFIRE RISK REDUCTION POLICY." Contemporary Economic Policy 24, no. 2 (2006): 203–23. http://dx.doi.org/10.1093/cep/byj021.

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Kochi, Ikuho, Geoffrey H. Donovan, Patricia A. Champ, and John B. Loomis. "The economic cost of adverse health effects from wildfire-smoke exposure: a review." International Journal of Wildland Fire 19, no. 7 (2010): 803. http://dx.doi.org/10.1071/wf09077.

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The economic costs of adverse health effects associated with exposure to wildfire smoke should be given serious consideration in determining the optimal wildfire management policy. Unfortunately, the literature in this research area is thin. In an effort to better understand the nature of these economic costs, we review and synthesise the relevant literature in three areas: studies that estimated the health-related economic costs of wildfire-smoke exposure; epidemiology studies related to the health risk of wildfire smoke; and general economic studies that estimated the monetary value of preve

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Nasanbat, Elbegjargal, and Ochirkhuyag Lkhamjav. "WILD FIRE RISK MAP IN THE EASTERN STEPPE OF MONGOLIA USING SPATIAL MULTI-CRITERIA ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 469–73. http://dx.doi.org/10.5194/isprsarchives-xli-b1-469-2016.

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Grassland fire is a cause of major disturbance to ecosystems and economies throughout the world. This paper investigated to identify risk zone of wildfire distributions on the Eastern Steppe of Mongolia. The study selected variables for wildfire risk assessment using a combination of data collection, including Social Economic, Climate, Geographic Information Systems, Remotely sensed imagery, and statistical yearbook information. Moreover, an evaluation of the result is used field validation data and assessment. The data evaluation resulted divided by main three group factors Environmental, Soc

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Nasanbat, Elbegjargal, and Ochirkhuyag Lkhamjav. "WILD FIRE RISK MAP IN THE EASTERN STEPPE OF MONGOLIA USING SPATIAL MULTI-CRITERIA ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 469–73. http://dx.doi.org/10.5194/isprs-archives-xli-b1-469-2016.

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Grassland fire is a cause of major disturbance to ecosystems and economies throughout the world. This paper investigated to identify risk zone of wildfire distributions on the Eastern Steppe of Mongolia. The study selected variables for wildfire risk assessment using a combination of data collection, including Social Economic, Climate, Geographic Information Systems, Remotely sensed imagery, and statistical yearbook information. Moreover, an evaluation of the result is used field validation data and assessment. The data evaluation resulted divided by main three group factors Environmental, Soc

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Sullivan, Jay, Philip N. Omi, A. Allen Dyer, and Armando Gonzáles-Cabán. "Evaluating the Economic Efficiency of Wildfire Rehabilitation Treatments." Western Journal of Applied Forestry 2, no. 2 (1987): 58–61. http://dx.doi.org/10.1093/wjaf/2.2.58.

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Abstract The success of emergency wildfire rehabilitation treatments applied on USDA Forest Service land is rarely documented. Though based partially on economic efficiency criteria, treatments are often applied with little consideration of the risks involved. A decision-tree approach incorporates such risks in the rehabilitation decision process through the calculation of an expected value. This approach was applied to documented rehabilitation projects conducted on Forest Service land in the Pacific Northwest and northern Rocky Mountains from 1976 to 1981. The evaluation of past projects sho

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Christman, Laine, and Kimberly Rollins. "The economic benefit of localised, short-term, wildfire-potential information." International Journal of Wildland Fire 24, no. 7 (2015): 974. http://dx.doi.org/10.1071/wf14003.

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Wildfire-potential information products are designed to support decisions for prefire staging of movable wildfire suppression resources across geographic locations. We quantify the economic value of these information products by defining their value as the difference between two cases of expected fire-suppression expenditures: one in which daily information about spatial variation in wildfire-potential is used to move fire suppression resources throughout the season, and the other case in which daily information is not used and fire-suppression resources are staged in their home locations all

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Romão Sequeira, Catarina, Cristina Montiel-Molina, and Francisco Castro Rego. "Historical fire records at the two ends of Iberian Central Mountain System: Estrela massif and Ayllón massif." Investigaciones Geográficas, no. 72 (December 12, 2019): 31. http://dx.doi.org/10.14198/ingeo2019.72.02.

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The Iberian Peninsula has a long history of fire, as the Central Mountain System, from the Estrela massif in Portugal to the Ayllón massif in Spain, is a major fire-prone area. Despite being part of the same natural region, there are different environmental, political and socio-economic contexts at either end, which might have led to distinct human causes of wildfires and associated fire regimes. The hypothesis for this research lies in the historical long-term relationship between wildfire risks and fire use practices within a context of landscape dynamics. In addition to conducting an analys

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Papakosta, P., G. Xanthopoulos, and D. Straub. "Probabilistic prediction of wildfire economic losses to housing in Cyprus using Bayesian network analysis." International Journal of Wildland Fire 26, no. 1 (2017): 10. http://dx.doi.org/10.1071/wf15113.

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Loss prediction models are an important part of wildfire risk assessment, but have received only limited attention in the scientific literature. Such models can support decision-making on preventive measures targeting fuels or potential ignition sources, on fire suppression, on mitigation of consequences and on effective allocation of funds. This paper presents a probabilistic model for predicting wildfire housing loss at the mesoscale (1 km2) using Bayesian network (BN) analysis. The BN enables the construction of an integrated model based on causal relationships among the influencing paramet

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Venn, Tyron J., and David E. Calkin. "Accommodating non-market values in evaluation of wildfire management in the United States: challenges and opportunities." International Journal of Wildland Fire 20, no. 3 (2011): 327. http://dx.doi.org/10.1071/wf09095.

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Forests in the United States generate many non-market benefits for society that can be enhanced and diminished by wildfire and wildfire management. The Federal Wildland Fire Management Policy (1995, updated 2001), and subsequent Guidance to the Implementation of that policy provided in 2009, require fire management priorities be set on the basis of values to be protected (including natural and cultural resources), costs of protection, and natural resource management objectives (including beneficial fire effects). Implementation of this policy is challenging because those charged with executing

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Read, Laura K., and Richard M. Vogel. "Hazard function theory for nonstationary natural hazards." Natural Hazards and Earth System Sciences 16, no. 4 (2016): 915–25. http://dx.doi.org/10.5194/nhess-16-915-2016.

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Abstract. Impact from natural hazards is a shared global problem that causes tremendous loss of life and property, economic cost, and damage to the environment. Increasingly, many natural processes show evidence of nonstationary behavior including wind speeds, landslides, wildfires, precipitation, streamflow, sea levels, and earthquakes. Traditional probabilistic analysis of natural hazards based on peaks over threshold (POT) generally assumes stationarity in the magnitudes and arrivals of events, i.e., that the probability of exceedance of some critical event is constant through time. Given i

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Thomas Ambadan, Jaison, Matilda Oja, Ze’ev Gedalof, and Aaron A. Berg. "Satellite-Observed Soil Moisture as an Indicator of Wildfire Risk." Remote Sensing 12, no. 10 (2020): 1543. http://dx.doi.org/10.3390/rs12101543.

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Wildfires are a concerning issue in Canada due to their immediate impact on people’s lives, local economy, climate, and environment. Studies have shown that the number of wildfires and affected areas in Canada has increased during recent decades and is a result of a warming and drying climate. Therefore, identifying potential wildfire risk areas is increasingly an important aspect of wildfire management. The purpose of this study is to investigate if remotely sensed soil moisture products from the Soil Moisture and Ocean Salinity (SMOS) satellite can be used to identify potential wildfire risk

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