Analysis of spatiotemporal changes in wildfire occurrence in Kermanshah Province with emphasis on the network of protected areas

Document Type : Research Article

Authors

1 Associate Professor, Department of Environmental Sciences & Engineering, Faculty of Agriculture & Natural Resources,Ardakan, University, P.O.Box184,Ardakan, Iran. - Water, Energy and Environment Research Institute, Ardakan University, P.O. Box184, Ardakan, Iran

2 Ph D Graduated of environmental science, Kermanshah, Iran

Abstract

Knowledge of wildfire-prone areas is useful for identifying future challenges and formulating management strategies, therefore, monitoring and studying the behavior of this phenomenon can be effective in this regard. In this study, the areas affected by wildfires in Kermanshah province were obtained using the information related to the active fire of MODIS satellite during the years 2001 to 2022. Then, using the kernel density function, the density of fire occurrences for each year was calculated and the wildfire data was prepared in the form of density per square kilometer. Different density maps were entered into the non-parametric Mann-Kendall analysis in the form of a time series to calculate the trend of changes at a significance level of 95% or more (99%) with this method. According to the results, during the past 21 years, an area equal to 3613.31 square kilometers of the province's land has experienced an increase in the density of fires, and this amount is equal to 644.39 square kilometers for the decreasing trend. None of the protected areas of Kermanshah Province have a decreasing trend of wildfire density; however, areas from the north and northwest, west and east of the study area have an increasing trend of wildfire density. Most of the areas with an increasing trend of wildfires are located in high areas with high rainfall and are covered by Zagros forests. Among the protected areas, Shahu and Kohsalan as well as Buzin and Markhil have the most fluctuations and changes in wildfires density. The fact that a large part of these areas is covered by oak forests, drought, temperature increase, and the spread of intentional fires may be among the effective and important factors in this phenomenon. The fact that a large part of these areas is covered by oak forests may be among the effective and important factors in this phenomenon

Keywords

Main Subjects


References (in Persian)
Afshar Bakeshloo, N., Zarafshani, K., Farhadi Bansouleh, B. (2020). 'The Zoning of Kermanshah Province Townships Based on Virtual Water Content and Value among Major Crops', Water and Soil, 34(2): 287-300 [In Persian]
Alehi N, Dashti S, Atarroshan S, Nazarpour A, Jaafarzadeh N. (2023). Forest Risk Fire Zoning using an Integrated Method of Artificial Neural Network and Spatial Information System (Murray Study: Shimbar Protected Area). E.E.R; 13 (2):235-253 [In Persian]
Bagherabadi, R., Shikhkanloo Milan, F., Zarei Mohammadabad, M. (2022). Evaluation of fire risk in the Zagros forests (Case study: Dalahu County). Management of Natural Ecosystems, 2(2), pp.60-72. [In Persian]
Eskandari, S. (2015). Analysis of Modeling and Simulation Methods of Fire Spread in the Forests. Human & Environment, 13(3), pp.67-88 [In Persian]
Eskandari, S.E., Oladi Ghadikolaei, J.F., Jalilvand, H., Saradjian, M.R. (2013). Fire risk modeling and prediction in district three of Neka-Zalemroud forest, using Geographical Information System. Iranian Journal of Forest and Poplar Research, 21(2), pp.203-217 [In Persian]
Falahati, S., Shayesteh, K., Karami, P. (2019). Quantifying the effect of environmental factors on the distribution of brown bears (Ursus arctos) in Zagros Oak (Quercus) Forests (case study: Ghalajeh protected area). Journal of Animal Environment, 11(4), pp.1-8 [In Persian]
Heidari, S., Goodarzi, M., Shamsipoor, A.A., Bazgir, S., Abdolahi Kakrudi, A. (2018). Evaluating Statistical Methods for Detecting Trend of Precipitation (Case Study: Kermanshah Province). Iran-Watershed Management Science & Engineering; 12 (42):81-90 [In Persian]
Heydari, M., Attar Roshan, S., Jaferyan, E., Abiyat, M. (2021). Modeling and Zoning of Fire Prone Areas in Zagros Forests Using Geographic Information System Based on Logistic Regression. Journal of Geography and Environmental Hazards, 10(2), pp.43-58 [In Persian]
Jahangir, M.H., Babaei, S., Norozi, E. (2019). Drought condition assessment of Kermanshah province using River Flow Drought Index (SDI). Iranian Journal of Irrigation & Drainage, 13(1), pp.190-202 [In Persian]
Karami, P., Shayesteh, K. (2020). Habitat Suitability Modeling of Wild‎ Sheep (Ovis orientalis) in Markazi‎ Province by using Tree-Based‎ Models. Experimental animal Biology, 8(4), pp.109-121 [In Persian]
Karami, P., Shayesteh, K., Rastegar Pouyani, N. (2021). Brown bears (Ursus arctos Linnaeus, 1758), an umbrella species Get involved in conflict crisis in Kermanshah provinces. Journal of Animal Research (Iranian Journal of Biology), 34(3), pp.190-203 [In Persian]
Karami, P., Shayesteh, K., Rastegar-Pouyani, N. (2020). Evaluation of the Distribution of Effective Factors on Habitat Diversity in Kermanshah Protected Areas. Geography [In Persian]
Karami, Peyman. (2021). Identifying and Analyzing Distribution of Habitat's Hotspots of Salient Vertebrates from Landscape Perspective in Kermanshah Province, PhD thesis in environmental sciences, Faculty of Natural Resources and Environment. Malayer University. 421 pp [In Persian]
Modaresi, F., Araghinejad, S.H., Ebrahimi, K., Kholghy, M. (2010). Regional assessment of climate change using statistical tests: Case Study of Gorganroud-Gharehsou Basin. Water and Soil, 24(3) [In Persian]
Mohseninejad, H.,Karami, P. (2020). Quantification of the Distribution and Changing Trend of the Ecological Niche of Brown Bear (Ursus arctos Linnaeus, 1758) in Ilam province. Journal of Animal Environment, 12(1), pp.1-8 [In Persian]
Naderi M. Risk Mapping of Wolf (Canis lupus) Attacks on Human and Livestock in Ardabil Province by Spatial Modeling Using Maximum Entropy (MaxEnt) Method. (2017). Iranian Journal of Applied Ecology, 6 (1):15-27 [In Persian]
Pourreza, M., Safari, H., Khodakarami, Y., Mashayekhi, S. (2009). Preliminary results of post-fire resprouting of manna oak (Quercus brantii Lindl.) in the Zagros forests, Kermanshah. Iranian Journal of Forest and Poplar Research, 17(2), pp.236-225 [In Persian]
Pourshakouri Allahdeh, F., Darvishsefat, A.A., Samadzadegan, F., Attarod, P. (2014). Potential of MODIS Images and Contextual Algorithm for Active Fire Detection in the Zagross Forests, West of Iran. Forest and Wood Products, 67(2), pp.201-213 [In Persian]
Rahimi, D., Khademi, S. (2018). Analysis Synoptic Patterns for Forest Fires Risk in Northern Iran. Journal of Natural Environmental Hazards, 7(17):19-36 [In Persian]
Salmi, T. (2002). Detecting trends of annual values of atmospheric pollutants by the Mann-Kendall test and Sen's slope estimates-the Excel template application MAKESENS. Ilmatieteen Laitos. Finnish Meteorological Institute, Air Quality Research, Helsinki, Finland, 37pp [In Persian]
Salehi, S., Zarei, Z. (2018). Zoning of high-risk areas in forests using GIS (a case study of forests of Kermanshah province). Geography and Human Relationships, 1(1), pp.304-319 [In Persian]
Seydai, S.E., Jahangir, E., Darabkhani, R., Panahi, A. (2020). Recognizing the Eventful points of the axes of Alborz province using the kernel density method. Human Geography Research, 52(3), pp.939-951 [In Persian]
Shojaeizadeh, K., Ahmadi, M., Dadashi-Roudbari, A. (2023). Spatiotemporal changes of forest fire in vegetation areas of Iran based on MODIS sensor. Journal of Natural Environmental Hazards, 12(36), pp.41-60 [In Persian]
Teymouri Yeganeh, M., Teymouri Yeganeh, L. (2022). Investigation of the application of time series models in predicting the monthly flow of the Arazkuseh hydrometric station. Journal of Environmental Science Studies, 7(2), pp.4799-4807 [In Persian]
Zarekar, A., Kazemi Zamani, B., Ghorbani, S., Ashegh Moalla, M., Jafari, H.R. (2013). Mapping the spatial distribution of forest fire using MCDM and GIS (Case study: three forest zones in Guilan province). Iranian Journal of Forest and Poplar Research, 21(2), pp.218-230 [In Persian]
 
References (in English)
Alexander, J.D., Seavy, N.E., Ralph, C.J., Hogoboom, B. (2006). Vegetation and topographical correlates of fire severity from two fires in the Klamath-Siskiyou region of Oregon and California. International Journal of Wildland Fire, 15(2), pp.237-245.
Archibald, S., Staver, A.C., Levin, S.A. (2012). Evolution of human-driven fire regimes in Africa. Proceedings of the National Academy of Sciences, 109(3), pp.847-852.
Behdarvand, N., Kaboli, M., Ahmadi, M., Nourani, E., Mahini, A.S., Aghbolaghi, M.A. (2014). Spatial risk model and mitigation implications for wolf–human conflict in a highly modified agroecosystem in western Iran. Biological Conservation, 177(2014), pp.156-164.
Bowman, D.M., Balch, J.K., Artaxo, P., Bond, W.J., Carlson, J.M., Cochrane, M.A., D’Antonio, C.M., DeFries, R.S., Doyle, J.C., Harrison, S.P., Johnston, F.H. (2009). Fire in the Earth system. science, 324(5926), pp.481-484.
Case, M.J., Kim, J.B., Kerns, B.K. (2020). Using a vegetation model and stakeholder input to assess the climate change vulnerability of tribally important ecosystem services. Forests, 11(6), p.618.
Chuvieco, E., Aguado, I., Yebra, M., Nieto, H., Salas, J., Martín, M.P., Vilar, L., Martínez, J., Martín, S., Ibarra, P., De la Riva, J. (2010). Development of a framework for fire risk assessment using remote sensing and geographic information system technologies. Ecological modeling, 221(1), pp.46-58.
Chuvieco, E., Cocero, D., Riano, D., Martin, P., Martınez-Vega, J., De La Riva, J., Pérez, F. (2004). Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating. Remote Sensing of Environment, 92(3), pp.322-331.
C Da Ponte, E., Alcasena, F., Bhagwat, T., Hu, Z., Eufemia, L., Turetta, A.P.D., Bonatti, M., Sieber, S., Barr, P.L. (2023). Assessing wildfire activity and forest loss in protected areas of the Amazon basin. Applied Geography, 157, p.102970.
Fernández, C., Vega, J.A., Fonturbel, T., Jiménez, E., Pérez, J.R.(2008). Immediate effects of prescribed burning, chopping, and clearing on runoff, infiltration, and erosion in a shrubland area in Galicia (NW Spain). Land Degradation and Development, 19(5), pp.502-515.
Gajendiran, K., Kandasamy, S., Narayanan, M. (2023). Influences of wildfire on the forest ecosystem and climate change: A comprehensive study. Environmental Research, p.117537.
Gao, D., Xin, J., Zhang, F. (2020). A decision tree algorithm for forest fire prediction based on wireless sensor networks. International Journal of Embedded Systems, 13(4), pp.422-430.
Kandya, A.N., Sarkar, J., Chhabra, A., Chauhan, S., Khatri, D., Vaghela, A.D., Kolte, S. (2021). Statistical assessment of the changing climate of Vadodara City, India From 1969–2006. Eur J Environ Sci, 3(1), pp.1-18.
Karami, P., Tavakoli, S., Esmaeili, M. (2023). Evolution of seasonal land surface temperature trend in pond-breeding newt (Neurergus derjugini) in western Iran and eastern Iraq. Ecological Processes, 12(1), p.14.
Karami, P., Tavakoli, S.,  Esmaeili, M. (2023). Monitoring spatiotemporal impacts of changes in land surface temperature on near eastern fire salamander (Salamandra infraimmaculata) in the Middle East. Heliyon, 9(6).
Krawchuk, M.A., Cumming, S.G., Flannigan, M.D., Wein, R.W . (2006). Biotic and abiotic regulation of lightning fire initiation in the mixed wood boreal forest. Ecology, 87(2), pp.458-468.
Koh, J., Pimont, F., Dupuy, J.L., Opitz, T. (2023). Spatiotemporal wildfire modeling through point processes with moderate and extreme marks. The Annals of Applied Statistics, 17(1), pp.560-582.
Li, J., Shan, Y., Yin, S., Wang, M., Sun, L., Wang, D. (2019). Nonparametric multivariate analysis of variance for affecting factors on the extent of forest fire damage in Jilin Province, China. Journal of Forestry Research, 30, pp.2185-2197.
Meigs, G.W., Case, M.J., Churchill, D.J., Hersey, C.M., Jeronimo, S.M., Smith, L.A.C. (2023). Drought, wildfire and forest transformation: characterizing trailing edge forests in the eastern Cascade Range, Washington, USA. Forestry, 96(3), pp.340-354.
Moradizadeh, H., Heydari, M., Omidipour, R., Mezbani, A., Prevosto, B. (2020). Ecological effects of fire severity and time since fire on the diversity partitioning, composition, and niche apportionment models of post-fire understory vegetation in semi-arid oak forests of Western Iran. Ecological Engineering, 143, p.105694.
Oliveira, S., Rocha, J., Sá, A. (2021). Wildfire risk modeling. Current Opinion in Environmental Science & Health, 23, p.100274.
Or, D., Furtak-Cole, E., Berli, M., Shillito, R., Ebrahimian, H., Vahdat-Aboueshagh, H., McKenna, S.A. (2023). Review of wildfire modeling considering effects on land surfaces. Earth-Science Reviews, 245, p.104569.
Pan, M., Zhang, S. (2023). Visualization of Prediction Methods for Wildfire Modeling Using Cite Space: A Bibliometric Analysis. Atmosphere, 14(6), p.1009.
Partal, T., Kahya, E. (2006). Trend analysis in Turkish precipitation data. Hydrological Processes: An International Journal, 20(9), pp.2011-2026.
Pausas, J.G., Fernández-Muñoz, S. (2012). Fire regime changes in the Western Mediterranean Basin: from fuel-limited to drought-driven fire regime. Climatic change, 110(1-2), pp.215-226.
Pourtaghi, Z.S., Pourghasemi, H.R., Aretano, R., Semeraro, T. (2016). Investigation of general indicators influencing forest fire and its susceptibility modeling using different data mining techniques. Ecological indicators, 64, pp.72-84.
  • Receive Date: 04 January 2024
  • Revise Date: 07 February 2024
  • Accept Date: 13 March 2024
  • First Publish Date: 13 March 2024
  • Publish Date: 21 June 2024