Skip to main content

Advertisement

Log in

Uncovering the hydro-meteorological drivers responsible for forest fires utilizing geospatial techniques

  • Research
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

Forest fires have become a growing concern worldwide, with climate change exacerbating their frequency and intensity. In the Simlipal region of India, forest fires are relatively rare; however, in 2021, significant damage occurred in the buffer area’s forests. Understanding the driving factors behind these events is essential for developing effective management strategies. This study investigates the impact of hydro-meteorological conditions on forest fire causes in the Simlipal region by analyzing Terra climatic data and geo-statistics for the period of 1984 to 2021. Long-term trends were determined using non-parametric tests on the Google Earth Engine (GEE) cloud computing platform. Our findings reveal that the maximum burned area location has a decreasing trend in Land Surface Temperature (LST), with a small portion (<10%) showing an increasing trend (0.02 °C/year) near burned locations. Wind speed is decreasing at a rate of −0.006 m/s/year. The sudden forest fires are caused by the combined effect of increasing LST and decreasing wind speed in some areas (<10% of the region). However, the major factor contributing to forest fires in the entire area is the rising trend of annual potential water deficit and actual evapotranspiration, as well as an increasing trend of minimum temperature. The soil moisture deficit during the summer season, especially between 2012 and 2021, contributed to forest fires in the burned area. The soil moisture deficit during the summer season, particularly from 2012 to 2021, played a significant role in the occurrence of forest fires in the affected area. The study emphasized the need for increased attention to this region in order to preserve biodiversity, which was assessed through an analysis of burned severity mapping in GEE (Google Earth Engine). These findings have important implications for future forest management strategies in the Simlipal region. Climate variability is likely to exacerbate the frequency and intensity of forest fires in the region, necessitating effective management strategies to mitigate their impact. Such strategies could involve improving fire prevention and control measures, such as creating fire breaks and increasing the availability of fire-fighting equipment, as well as enhancing forest monitoring systems to detect potential fires early. Additionally, efforts to address climate change, proper management of land use practices, and reduce greenhouse gas emissions could help to mitigate the future impacts of forest fires in the Simlipal region and elsewhere.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3.
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Abatzoglou JT, Dobrowsk SZ, Parks SA, Hegewisch KC (2018) TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015. Sci Data 5(1):1–12

    Google Scholar 

  • Abatzoglou JT, Williams AP (2016) Impact of anthropogenic climate change on wildfire across western US forests. Proc Natl Acad Sci 113(42):11770–11775

    Google Scholar 

  • Abram NJ, Henley BJ, Sen Gupta A, Lippmann TJ, Clarke H, Dowdy AJ, Sharples JJ, Nolan RH, Zhang T, Wooster MJ, Wurtzel JB (2021) Connections of climate change and variability to large and extreme forest fires in southeast Australia. Communications Earth & Environment 2(1):8. https://doi.org/10.1038/s43247-020-00065-8

  • Andela N, Morton DC, Giglio L, Chen Y, van der Werf GR, Kasibhatla PS, DeFries RS, Collatz GJ, Hantson S, Kloster SA (1979) Human-driven decline in global burned area. Science 356:1356–1362

    Google Scholar 

  • Archibald S, Lehmann CER, Gomez-Dans JL, Bradstock RA (2018) Defining pyromes and global syndromes of fire regimes. Proc Natl Acad Sci 115(16):4106–4111

    Google Scholar 

  • Barros AMG, Pereira JMC, Vega Orozco R, Vega Orozco C (2011) Modeling the spatio-temporal variability of wildfire probability in Portugal. Int J Wildland Fire 20:474–486. https://doi.org/10.1071/WF08119

    Article  Google Scholar 

  • Behera MD, Sahoo SK, Sahoo BK, Nanda S (2021) Impact of changing climatic variables on forest fires: a study on Simlipal forest of Odisha, India. J Environ Manage:283–111978

  • Bera A, Meraj G, Kanga S, Farooq M, Singh SK, Sahu N, Kumar P (2022) Vulnerability and risk assessment to climate change in Sagar Island, India. Water 14(5):823. https://doi.org/10.3390/w14050823

  • Boschetti L, Roy DP, Giglio L, Huang H, Zubkova M, Humber ML (2019) Global validation of the collection 6 MODIS burned area product. Remote sensing of environment. Remote Sens Environ 235:111490

    Google Scholar 

  • Breshears DD, Cobb NS, Rich PM, Price KP, Allen CD, Balice RG, Meyer CW (2005) Regional vegetation die-off in response to global-change-type drought. Proc Natl Acad Sci 102(42):5144–15148

    Google Scholar 

  • Doerr SH, Santín C (2016) Global trends in wildfire and its impacts: perceptions versus realities in a changing world. Philos Trans R Soc Lond, B, Biol Sci 371:20150345

    Google Scholar 

  • Dong X, Li W, Xiong X, Hu Y, Zhang Y (2018) Spatial and temporal analysis of forest fire occurrence in China using GIS and remote sensing. Sustainability 10:3826. https://doi.org/10.3390/su10113826

    Article  Google Scholar 

  • Douglas GW, Ballard TM (1971) Effects of fire on alpine plant communities in the North Cascades, Washington. Ecology 52:1058–1064

    Google Scholar 

  • Dunning CM, Black E, Allan RP (2016) The onset and cessation of seasonal rainfall over Africa. J Geophys Res Atmos 121(19):11,405–11,424

    Google Scholar 

  • Farooq M, Gazali S, Dada M, Gera N, Meraj G (2022) Forest fire alert system of India with a special reference to fire vulnerability assessment of the UT of Jammu and Kashmir. In: Kanga S, Meraj G, Farooq M, Singh SK, Nathawat MS (eds) Disaster management in the complex Himalayan terrains. Geography of the physical environment. Springer, Cham. https://doi.org/10.1007/978-3-030-89308-8_11

  • Fisher RA, Williams M, da Costa AL, Malhi Y, da Costa RF, Almeida S, Meir P (2007) The response of an Eastern Amazonian rain forest to drought stress: results and modelling analyses from a throughfall exclusion experiment. Glob Chang Biol 13(11):2361–2378

    Google Scholar 

  • Flannigan M, Cantin AS, de Groot WJ, Wotton M, Newbery A, Gowman LM (2013) Global wildland fire season severity in the 21st century. For Ecol Manage 294:54–61

  • Flannigan M, Cantin AS, De Groot WJ, Wotton M, Newbery A, Gowman LM (2016) Global wildland fire season severity in the 21st century. For Ecol Manag 359:658–671

    Google Scholar 

  • Ghazoul J, Burivalova Z, Garcia-Ulloa J, King LA (2015) Conceptualizing forest degradation. Trends Ecol Evol 30:622–632

    Google Scholar 

  • Ghosh S, Das S, Goswami BN, Sengupta D (2020) Recent trends and variability of monsoon rainfall in India. Clim Dyn 55(1-2):225–244

    Google Scholar 

  • Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R (2017) Google Earth Engine: planetary-scale geospatial analysis for everyone. Remote Sens Environ 202:18–27

    Google Scholar 

  • Hansen MC, Wang L, Song XP, Tyukavina A, Turubanova S, Potapov P, Stehman S (2020) The fate of tropical forest fragments. Sci Adv 6:eaax8574

    Google Scholar 

  • Hargrove WW, Gardner RH, Turner MG, Romme WH, Despain DG et al (2000) Simulating fire patterns in heterogeneous landscapes. Ecol Modell 135(2-3):243–263

    Google Scholar 

  • Häusler H, Weber U, Rost S, Schöning I (2018) Impact of forest fires on soil and canopy properties in a Central European deciduous forest. Geoderma 311:203–211. https://doi.org/10.1016/j.geoderma.2017.10.042

    Article  Google Scholar 

  • Hengl T (2018) Mapping the spatial patterns of land-use and land-cover change in Europe using the ESA CCI Land Cover data. J Land Use Sci 13(2-3):204–219. https://doi.org/10.1080/1747423X.2017.1372645

    Article  Google Scholar 

  • Hipel KW, McLeod AI (2005) Time series modelling of water resources and environmental systems. Elsevier

    Google Scholar 

  • Holden ZA, Swanson A, Luce CH, Jolly WM, Maneta M, Oyler JW, Warren DA, Parsons R, Affleck D (2018) Decreasing fire season precipitation increased recent western US forest wildfire activity. Proc Natl Acad Sci 115:E8349–E8357

    Google Scholar 

  • IPCC (2014) Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, Geneva, Switzerland

    Google Scholar 

  • Jolly WM, Cochrane MA, Freeborn PH, Holden ZA, Brown TJ, Williamson GJ, Bowman DMJS (2015) Climate-induced variations in global wildfire danger from 1979 to 2013. Nat Commun 6:1–11

    Google Scholar 

  • Kanga S, Meraj G, Johnson BA, Singh SK, PV MN, Farooq M, Kumar P, Marazi A, Sahu N (2022) Understanding the linkage between urban growth and land surface temperature—A case study of Bangalore City, India. Remote Sens 14(17):4241. https://doi.org/10.3390/rs14174241

  • Keeley JE (2009) Fire intensity, fire severity and burn severity: a brief review and suggested usage. Int J Wildland Fire 18:116–126

    Google Scholar 

  • Littell JS, Peterson DL, Riley KL, Liu Y, Luce CH (2016) A review of the relationships between drought and forest fire in the United States. Glob Chang 22:2353–2369

    Google Scholar 

  • Liu C, Chen Y, Peng J, Guan Y (2020) Spatiotemporal patterns of forest fires and their relationships with environmental factors in China from 2001 to 2018. Forests 11:1033. https://doi.org/10.3390/f11101033

    Article  Google Scholar 

  • Liu M, Vecchi GA, Smith JA, Knutson TR (2019) Causes of large projected increases in hurricane precipitation rates with global warming. NPJ Clim Atmos Sci 2:1–5

    Google Scholar 

  • Marlon JR, Bartlein PJ, Carcaillet C, Gavin DG, Harrison SP, Higuera PE, Prentice IC (2008) Climate and human influences on global biomass burning over the past two millennia. Nat Geosci 1(10):697–702

    Google Scholar 

  • Meraj G (2021) Assessing the impacts of climate change on ecosystem service provisioning in Kashmir Valley India. Ph.D. Thesis, Suresh Gyan Vihar University, Jagatpura, Jaipur, India

  • Meraj G, Singh SK, Kanga S, Islam MN (2022a) Modeling on comparison of ecosystem services concepts, tools, methods and their ecological-economic implications: a review. Model Earth Syst Environ 8:15–34. https://doi.org/10.1007/s40808-021-01131-6

  • Meraj G, Farooq M, Singh SK, Islam MN, Kanga S (2022b) Modeling the sediment retention and ecosystem provisioning services in the Kashmir valley, India, Western Himalayas. Model Earth Syst Environ 8:3859–3884. https://doi.org/10.1007/s40808-021-01333-y

  • Mishra N, Rout SD, Panda T (2011) Ethno-zoological studies and medicinal values of Similipal Biosphere Reserve, Orissa, India. Afr J Pharm Pharmacol 5(1):6–11

    Google Scholar 

  • Misson L, Degueldre D, Collin C, Rodriguez, R Rocheteau A (2007) Functional changes in the control of carbon fluxes after 3 years of increased drought in a Mediterranean evergreen forest? Glob Chang Biol 13(11):2361–2375

  • Mohanta AK, Nandi A (2017) Spatio-temporal dynamics of vegetation cover in the north-west region of India using MODIS NDVI data. J Earth Syst Sci 126(5):75. https://doi.org/10.1007/s12040-017-0863-7

    Article  Google Scholar 

  • Moritz MA, Parisien MA, Batllori E, Krawchuk MA, Van Dorn J, Ganz DJ, Hayhoe K (2012) Climate change and disruptions to global fire activity. Ecosphere 3(6):1–22

    Google Scholar 

  • Moritz MA, Batllori E, Bradstock RA, Gill AM, Handmer J, Hessburg PF, Leonard J, McCaffrey S, Odion DC, Schoennagel T (2014) Learning to coexist with wildfire. Nature 515:58–66

    Google Scholar 

  • Nolan RH, Collins L, Leigh A, Ooi MKJ, Curran TJ, Fairman TA, de DiosbV R, Bradstock R (2021) Limits to post-fire vegetation recovery under climate change. Plant Cell Environ 44:3471–3489

    Google Scholar 

  • Pagnucco KS, Gherardi LA, Troncoso JM (2019) Hydro-meteorological drivers of fire occurrence in subtropical forests: the case of the Upper Parana Atlantic Forest. Int J Wildland Fire 28:187–199. https://doi.org/10.1071/WF17179

    Article  Google Scholar 

  • Pausas JG, Fernández-Muñoz S (2012) Fire regime changes in the Western Mediterranean Basin: from fuel-limited to drought-driven fire regime. Clim Change 110:215–226. https://doi.org/10.1007/s10584-011-0060-6

    Article  Google Scholar 

  • Prosser IP, Williams L (1998) The effect of wildfire on runoff and erosion in native Eucalyptus forest. Hydrol Process 12:251–265

    Google Scholar 

  • Pütz S, Groeneveld J, Henle K, Knogge C, Martensen AC, Metz M, Metzger JP, Ribeiro MC, de Paula MD, Huth A (2014) Long-term carbon loss in fragmented neotropical forests. Nat Commun 5:1–8

    Google Scholar 

  • Rafiq M, Meraj G, Kesarkar A, Farooq M, Singh SK, Kanga S (2022) Hazard mitigation and climate change in the Himalayas–Policy and decision making. In: Kanga S, Meraj G, Farooq M, Singh SK, Nathawat MS (eds) Disaster management in the complex Himalayan terrains. Geography of the physical environment. Springer, Cham. https://doi.org/10.1007/978-3-030-89308-8_12

  • Restrepo-Coupe N, da Rocha HR, Hutyra LR, da Araujo AC, Borma LS, Christoffersen B, Saleska SR (2013) What drives the seasonality of photosynthesis across the Amazon basin? A cross-site analysis of eddy flux tower measurements from the Brasil flux network. Agric For Meteorol 182:128–144

    Google Scholar 

  • Robichaud PR (2000) Fire effects on infiltration rates after prescribed fire in Northern Rocky Mountain forests USA. J Hy-drol (Amst) 231:220–229

    Google Scholar 

  • Rodriguez-Iturbe I, Porporato A, Laio F, Ridolfi L (1999) Plants in water-controlled ecosystems: active role in hydrologic processes and response to water stress: I. Scope and general outline. Adv Water Resour 24(7):695–705

    Google Scholar 

  • Rorig ML, Ferguson SA (1999) Characteristics of lightning and wildland fire ignition in the Pacific Northwest. J Appl Meteorol 38(11):1565–1575

    Google Scholar 

  • Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. Res. Pap. INT-115. US Department of Agriculture, Intermountain Forest and Range Experiment Station, Ogden, UT, pp 40–115

    Google Scholar 

  • Sajan B, Mishra VN, Kanga S, Meraj G, Singh SK, Kumar P (2022) Cellular automata-based artificial neural network model for assessing past, present, and future land use/land cover dynamics. Agronomy 12(11):2772. https://doi.org/10.3390/agronomy12112772

  • San-Miguel-Ayanz J, Durrant T, Boca R, Libertá G, Branco A, De Rigo D, Ferrari D, Maianti P, Artés Vivancos T, Schulte E, Loffler P, Geilhausen M, Whitmore C (2013) Forest fires in Europe, Middle East and North Africa 2012. European Commission, Joint Research Centre, Institute for Environment and Sustainability https://publications.jrc.ec.europa.eu/repository/bitstream/JRC85684/lbna26320enn.pdf

    Google Scholar 

  • Santín C, Doerr SH, Kane ES, Masiello CA (2016) Soil water repellency: a new view of an old problem. J Hydrol 529:1069–1084

    Google Scholar 

  • Scott JH, Reinhardt ED (2001) Assessing crown fire potential by linking models of surface and crown fire behavior. Res. Pap. RMRS-RP-29. US Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, CO

    Google Scholar 

  • Settele J, Scholes R, Betts RA, Bunn SE, Leadley P, Nepstad D, Taboada MA (2014) Terrestrial and inland water systems. In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Work-ing Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, pp 271–359

    Google Scholar 

  • Singh S, Singh H, Sharma V, Shrivastava V, Kumar P, Kanga S, Sahu N, Meraj G, Farooq M, Singh SK (2022) Impact of forest fires on air quality in Wolgan Valley, New South Wales, Australia—A mapping and monitoring study using Google Earth Engine. Forests 13(1):4. https://doi.org/10.3390/f13010004

  • Srinivasan G, Chen H, Dhanya CT, Sabarinath S (2021) Climate change impacts on hydrology and water resources of India. In: Climate change impacts on agriculture and water resources management. Springer, Cham, pp 47–70

    Google Scholar 

  • Syphard AD, Radeloff VC, Hawbaker TJ, Stewart SI (2007) Human influence on California fire regimes. Ecol Appl 17(5):1388–1402

    Google Scholar 

  • U.S. Geological Survey. (n.d.). EarthExplorer. Retrieved March 26, 2023, from https://earthexplorer.usgs.gov/

  • Valeo C, Beaty K, Hesslein R (2003) Influence of forest fires on climate change studies in the central boreal forest of Canada. J Hydrol (Amst) 280:91–104

    Google Scholar 

  • Van Mantgem PJ, Nesmith JCB, Keifer M, Knapp EE, Flint A, Flint L (2013) Climatic stress increases forest fire severity across the Western United States. Ecol Lett 16:1151–1156

    Google Scholar 

  • Vicente-Serrano SM, Gouveia C, Camarero JJ, Beguería S, Trigo R, López-Moreno JI, Pasho E (2013) Response of vegetation to drought time-scales across global land biomes. Proc Natl Acad Sci 110(1):52–57

    Google Scholar 

  • Vicente-Serrano SM, Van der Schrier G, Beguería S, Azorin-Molina C, Lopez-Moreno JI (2015) Contribution of precipitation and reference evapotranspiration to drought indices under different climates. J Hydrol 526:42–54

    Google Scholar 

  • Vlassova L, Pérez-Cabello F, Mimbrero MR, Llovería RM, García-Martín A (2014) Analysis of the relationship between land surface temperature and wildfire severity in a series of Landsat images. Remote Sens (Basel) 6:6136–6162

    Google Scholar 

  • Walker WH, Meléndez-Fernández OH, Nelson RJ, Reiter RJ (2019) Global climate change and invariable photoperiods: a mismatch that jeopardizes animal fitness. Ecol Evol 9:10044–10054

    Google Scholar 

  • Wang X, Han Y, Chen B, Wu Y, Chen L (2021) Spatial patterns and environmental drivers of forest fires in the western United States. Water 13:922. https://doi.org/10.3390/w13070922

    Article  Google Scholar 

  • Westerling AL (2016) Increasing western US forest wildfire activity: sensitivity to changes in the timing of spring. Philos Trans R Soc Lond, B, Biol Sci 371:20150178

    Google Scholar 

  • Westerling AL, Hidalgo HG, Cayan DR, Swetnam TW (2006) Warming and earlier spring increase western US forest wild-fire activity. Science 313:940–943. https://doi.org/10.1126/science.1128834

    Article  Google Scholar 

  • Williams AP, Seager R, Abatzoglou JT, Cook BI, Smerdon JE, Cook ER (2019) Large contribution from anthropogenic warming to an emerging North American megadrought. Science 368(6488):314–318

    Google Scholar 

  • Zhang X, Zwiers FW, Hegerl GC, Lambert FH, Gillett NP, Solomon S, Nozawa T (2007) Detection of human influence on twentieth-century precipitation trends. Nature 448(7152):461–465

    Google Scholar 

  • Zhang Y, Li J, Liu Y, Yan X (2018) Global evapotranspiration changes during the twentieth century based on the GIMMS3g dataset. J Geogr Sci 28(6):659–672

    Google Scholar 

Download references

Acknowledgements

We wish to express our gratitude to the USGS for providing Landsat data, to Google Earth Engine for providing the analytical platform, and all the three anonymous reviewers whose insightful feedback greatly enhanced the quality of the manuscript.

Code availability

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, G.M., S.K., and S.K.S.; Methodology, G.M., S.K., S.K.S., S.K.G., and P.K.; Software, S.K.G.; Validation, G.M., S.K., P.K., and S.K.G.; Formal Analysis, G.M., S.K., A.M., P.K., and S.K.G.; Investigation, G.M., S.K., S.K.G.; Resources, S.K. and P.K.; Data Curation, G.M., S.K., and P.K.; Writing—Original Draft Preparation, G.M., S.K., and S.K.G.; Writing—Review and Editing, G.M. and S.K.S.; Visualization, G.M. and S.K.S.; Supervision, S.K. and S.K.S.; Project Administration, G.M. and S.K.S. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Suraj Kumar Singh.

Ethics declarations

Ethics approval

Not available

Consent to participate

We want to participate because research needs more attention and help to combat forest fire hazards and risks according to changing climate

Consent for publication

The research needed to be aware of the role of hydro-metrological on forest fire and it is not accessed more clearly in any research; therefore by the publication of it, this research gets more exposure and helps the society and environment.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gupta, S.K., Kanga, S., Meraj, G. et al. Uncovering the hydro-meteorological drivers responsible for forest fires utilizing geospatial techniques. Theor Appl Climatol 153, 675–695 (2023). https://doi.org/10.1007/s00704-023-04497-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-023-04497-y

Navigation