Abstract
Forest fire is one of the most common hazards occurring in tropical deciduous forests due to anthropogenic activities and it is one of the reasons for natural forest degradation and biodiversity loss. This study analyzes forest fire events in relation to meteorological parameters. The analysis includes geospatial techniques to identify any linkages between meteorological parameters and fire occurrence in the Central Indian region. Results suggested a statistically significant relationship between forest fire and meteorological parameters. During the forest fire season (FMAMJ), more than 92% of the fires were observed from 2012 to 2021 due to the high temperature and less precipitation. The year-wise analyses indicated that the highest number of fires was found in 2021 followed by 2017, 2018, and 2016. Most of the fire hotspot was recorded in the southeast area of Madhya Pradesh. The highest fire points were recorded in the Balaghat district followed by Raisen, Sidhi, and Betul districts. The result from this study demonstrates the potential of forest fire analysis with geospatial techniques as an effective tool in assessing “where and when” forest fires will most likely occur.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cochrane, M. A. (2003). Fire science for rainforests. Nature, 421(6926), 913–919. https://doi.org/10.1038/nature01437
Coomes, D. A., Dalponte, M., Jucker, T., Asner, G. P., Banin, L. F., Burslem, D. F. R. P., Lewis, S. L., Nilus, R., Phillips, O. L., Phua, M. H., and Qie, L. (2017). Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data. Remote Sensing of Environment, 194, 77–88. https://doi.org/10.1016/j.rse.2017.03.017
FAO. (2020). Global Forest Resources Assessment 2020. In Global Forest Resources Assessment, key findings. FAO. https://doi.org/10.4060/ca8753en
ISFR. (2021). India State of Forest Report (Chapter 5 Forest Fire Monitoring) (p. 140).
Jaiswal, R. K., Mukherjee, S., Raju, K. D., and Saxena, R. (2002). Forest fire risk zone mapping from satellite imagery and GIS. International Journal of Applied Earth Observation and Geoinformation, 4(1), 1–10. https://doi.org/10.1016/S0303-2434(02)00006-5
Kumari, B., and Pandey, A. C. (2020). MODIS based forest fire hotspot analysis and its relationship with climatic variables. Spatial Information Research, 28(1), 87–99. https://doi.org/10.1007/s41324-019-00275-z
Lamat, R., Kumar, M., Kundu, A., and Lal, D. (2021). Forest fire risk mapping using analytical hierarchy process (AHP) and earth observation datasets: a case study in the mountainous terrain of Northeast India. SN Applied Sciences, 3(4), 1–15. https://doi.org/10.1007/s42452-021-04391-0
Nasi, R., Dennis, R., Meijaard, E., Applegate, G., and Moore, P. (2002). Forest fire and biological diversity. Unasylva, 53, 36–40.
Pinol, J., Terradas, J., and Lloret, F. (1998). Climate warming, wildfire hazard, and wildfire occurrence in coastal eastern spain. Kluwer Academic publischers. Netherlands. Climatic Change, 38, 345–357. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.457.4445andrep=rep1andtype=pdf
Prentice, I. C., Kelley, D. I., Foster, P. N., Friedlingstein, P., Harrison, S. P., and Bartlein, P. J. (2011). Modeling fire and the terrestrial carbon balance. Global Biogeochemical Cycles, 25(3), 1–13. https://doi.org/10.1029/2010GB003906
Ray, T., Malasiya, D., Dar, J. A., Khare, P. K., Khan, M. L., Verma, S., and Dayanandan, A. (2019). Estimation of greenhouse gas emissions from vegetation fires in Central India. Climate Change and Environmental Sustainability, 7(1), 32. https://doi.org/10.5958/2320-642x.2019.00005.x
Reddy, C. S., Jha, C. S., Manaswini, G., Alekhya, V. V. L. P., Vazeed Pasha, S., Satish, K. V., Diwakar, P. G., and Dadhwal, V. K. (2017). Nationwide assessment of forest burnt area in India using Resourcesat-2 AWiFS data. Current Science, 112(7), 1521–1532. https://doi.org/10.18520/cs/v112/i07/1521-1532
Roy, P. S. (2003). Forest fire and degradation assessment using satellite remote sensing and geographic information system. Satellite Remote Sensing and GIS Applications in Agricultural Meteorology, 361–400.
Sannigrahi, S., Pilla, F., Basu, B., Basu, A. S., Sarkar, K., Chakraborti, S., Joshi, P. K., Zhang, Q., Wang, Y., Bhatt, S., Bhatt, A., Jha, S., Keesstra, S., and Roy, P. S. (2020). Examining the effects of forest fire on terrestrial carbon emission and ecosystem production in India using remote sensing approaches. Science of The Total Environment, 725, 138331. https://doi.org/10.1016/j.scitotenv.2020.138331
Thompson, M. P., Haas, J. R., Gilbertson-Day, J. W., Scott, J. H., Langowski, P., Bowne, E., and Calkin, D. E. (2015). Development and application of a geospatial wildfire exposure and risk calculation tool. Environmental Modelling and Software, 63, 61–72. https://doi.org/10.1016/j.envsoft.2014.09.018
Tian, X. R., Zhao, F. J., Shu, L. F., and Wang, M. Y. (2014). Changes in forest fire danger for south-western China in the 21st century. International Journal of Wildland Fire, 23(2), 185–195. https://doi.org/10.1071/WF13014
Vadrevu, K. P., Eaturu, A., and Badarinath, K. V. S. (2010). Fire risk evaluation using multicriteria analysis-a case study. Environmental Monitoring and Assessment, 166(1–4), 223–239. https://doi.org/10.1007/s10661-009-0997-3
Wotton, B. M., Nock, C. A., and Flannigan, M. D. (2010). Forest fire occurrence and climate change in Canada. International Journal of Wildland Fire, 19(3), 253–271. https://doi.org/10.1071/WF09002
Acknowledgements
The author is thankful to USGS and DIVA-GIS for providing free access to forest fire data.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
Conflict of Interest
The author declares no conflict of interest.
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Ray, T., Verma, S., Khan, M.L. (2023). Forest Fire Characterization with Relation to Meteorology and Topography Parameters in Madhya Pradesh, India. In: Nautiyal, S., Gupta, A.K., Goswami, M., Imran Khan, Y.D. (eds) The Palgrave Handbook of Socio-ecological Resilience in the Face of Climate Change. Palgrave Macmillan, Singapore. https://doi.org/10.1007/978-981-99-2206-2_8
Download citation
DOI: https://doi.org/10.1007/978-981-99-2206-2_8
Published:
Publisher Name: Palgrave Macmillan, Singapore
Print ISBN: 978-981-99-2205-5
Online ISBN: 978-981-99-2206-2
eBook Packages: Social SciencesSocial Sciences (R0)