Characterising spatial clusters of forest fire activity in the Western Himalayan region of India: implications for conservation and management
Shanti Kumari A B , Shailja Mamgain A B , Arijit Roy A * and H. C. Prince AA
B
Abstract
Forest fires in Western Himalaya have exhibited changing patterns over past years due to climatic change and human activities. Understanding these fire patterns is essential for developing effective conservation and management strategies.
This study characterises spatial clusters of forest fires and analyses their spatio-temporal patterns across Western Himalaya using long-term data (2005–2022) on fire events, burned area and climatic variables.
The study employs Getis-Ord Gi* and Anselin Local Moran’s I statistics to identify significant spatial clusters of forest fire activity. Furthermore, time-series analysis combined with the Mann–Kendall test are utilised to evaluate the relationship between fire events and climatic and edaphic variables.
Analysis revealed statistically significant clusters of forest fires concentrated in low to mid-elevation regions, which comprise 27–32% of total forest area. These burned areas are primarily located in Uttarakhand and parts of Himachal Pradesh, particularly in the central and south-eastern districts of Pauri and Tehri, indicating a heightened risk of forest fires.
Identification of forest fire clusters and the assessment of contributing factors provide crucial insights into the underlying causes of their activity in the Western Himalaya.
Findings of this study will be instrumental in developing targeted mitigation strategies to protect vulnerable ecological resources in Western Himalaya.
Keywords: Anselin Local Moran’s I statistics, climatic drivers, forest fire clusters, forest fire dynamics, Getis-Ord hotspot analysis, spatio-temporal analysis, vegetation type, Western Himalaya.
References
Adams MA, Neumann M (2023) Litter accumulation and fire risks show direct and indirect climate-dependence at continental scale. Nature Communications 14, 1515.
| Crossref | Google Scholar | PubMed |
Ahmad F, Goparaju L (2019) Forest fire trend and influence of climate variability in India: a geospatial analysis at national and local scale. Ekológia (Bratislava) 38, 49-68.
| Crossref | Google Scholar |
Ahmad L, Saran S (2023) Anthropogenic evidences as precursors to forest fire trigger in Western Himalayan Region. Environment, Development and Sustainability 26, 16827-16846.
| Crossref | Google Scholar |
Anselin L (1995) Local Indicators of Spatial Organization – LISA. Geographical Analysis 27, 93-115.
| Crossref | Google Scholar |
Bar S, Parida BR, Roberts G, Pandey AC, Acharya P, Dash J (2021) Spatio-temporal characterization of landscape fire in relation to anthropogenic activity and climatic variability over the Western Himalaya, India. GIScience and Remote Sensing 58, 281-299.
| Crossref | Google Scholar |
Bargali H, Calderon LPP, Sundriyal R, Bhatt D (2022) Impact of forest fire frequency on floristic diversity in the forests of Uttarakhand, western Himalaya. Trees, Forests and People 9, 100300.
| Crossref | Google Scholar |
Barik A, Baidya Roy S (2023) Climate change strongly affects future fire weather danger in Indian forests. Communications Earth & Environment 4, 452.
| Crossref | Google Scholar |
Benson R, Roads J, Weise D (2008) Chapter 2. Climatic and weather factors affecting fire occurrence and behavior. Developments in Environmental Science 8, 37-59.
| Crossref | Google Scholar |
Bhatt A, Rana D, KHAN ML (2022) Forest fires in the Western Himalayan region of India: a review. International Journal of Ecology and Environmental Sciences 48, 137-142.
| Crossref | Google Scholar |
Burrows ND (2008) Linking fire ecology and fire management in south-west Australian forest landscapes. Forest Ecology and Management 255, 2394-2406.
| Crossref | Google Scholar |
Chaideftou E (2022) Review of ‘Fire ecology and management: past, present, and future of US forested ecosystems’ by Cathryn H. Greenberg and Beverly Collins (editors) and 75 contributing authors. Fire Ecology 18, 7.
| Crossref | Google Scholar |
Coogan SCP, Aftergood O, Flannigan MD (2022) Human- and lightning-caused wildland fire ignition clusters in British Columbia, Canada. International Journal of Wildland Fire 31, 1043-1055.
| Crossref | Google Scholar |
Dang ATN, Kumar L, Reid M, Mutanga O (2021) Fire danger assessment using geospatial modelling in Mekong delta, Vietnam: effects on wetland resources. Remote Sensing Applications: Society and Environment 21, 100456.
| Crossref | Google Scholar |
Digavinti J, Manikiam B (2021) Satellite monitoring of forest fire impact and regeneration using NDVI and LST. Journal of Applied Remote Sensing 15, 42412.
| Crossref | Google Scholar |
Dobriyal M, Bijalwan A (2017) Forest fire in Western Himalayas of India: a review. New York Science Journal 10, 39-46.
| Google Scholar |
Dupuy J, Fargeon H, Martin-StPaul N, Pimont F, Ruffault J, Guijarro M, Hernando C, Madrigal J, Fernandes P (2020) Climate change impact on future wildfire danger and activity in southern Europe: a review. Annals of Forest Science 77, 35.
| Crossref | Google Scholar |
Fréjaville T, Curt T (2017) Seasonal changes in the human alteration of fire regimes beyond the climate forcing. Environmental Research Letters 12, 035006.
| Crossref | Google Scholar |
Fulé PZ, Garkoti SC, Semwal RL (2021) Frequent burning in chir pine forests, Uttarakhand, India. Fire Ecology 17, 20.
| Crossref | Google Scholar |
Funk C, Peterson P, Landsfeld M, Pedreros D, Verdin J, Shukla S, Husak G, Rowland J, Harrison L, Hoell A (2015) The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. Scientific Data 2, 150066.
| Crossref | Google Scholar |
Ganteaume A, Camia A, Jappiot M, San-Miguel-Ayanz J, Long-Fournel M, Lampin C (2013) A review of the main driving factors of forest fire ignition over Europe. Environmental Management 51, 651-662.
| Crossref | Google Scholar | PubMed |
Giglio L, Schroeder W, Justice CO (2016) The collection 6 MODIS active fire detection algorithm and fire products. Remote Sensing of Environment 178, 31-41.
| Crossref | Google Scholar | PubMed |
Gupta A, Bhatt CM, Roy A, Chauhan P (2020) COVID-19 lockdown: a window of opportunity to understand the role of human activity on forest fire incidences in the Western Himalaya, India. Current Science 119, 390-398.
| Crossref | Google Scholar |
Halofsky JE, Peterson DL, Harvey BJ (2020) Changing wildfire, changing forests: the effects of climate change on fire regimes and vegetation in the Pacific Northwest, USA. Fire Ecology 16, 4.
| Crossref | Google Scholar |
Jesus CSLD, Delgado RC, Wanderley HS, Teodoro PE, Pereira MG, Lima M, Rodrigues RDÁ, Silva Junior CAD (2022) Fire risk associated with landscape changes, climatic events and remote sensing in the Atlantic forest using ARIMA model. Remote Sensing Applications: Society and Environment 26, 100761.
| Crossref | Google Scholar |
Joshi K, Sharma V, Mittal S (2015) Social entrepreneurship through forest bioresidue briquetting: an approach to mitigate forest fires in pine areas of Western Himalaya, India. Renewable and Sustainable Energy Reviews 51, 1338-1344.
| Crossref | Google Scholar |
Kala CP (2023) Environmental and socioeconomic impacts of forest fires: a call for multilateral cooperation and management interventions. Natural Hazards Research 3, 286-294.
| Crossref | Google Scholar |
Kale MP, Ramachandran RM, Pardeshi SN, Chavan M, Joshi PK, Pai DS, Bhavani P, Ashok K, Roy PS (2017) Are climate extremities changing forest fire regimes in India? An analysis using MODIS fire locations during 2003–2013 and gridded climate data of India meteorological department. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 87, 827-843.
| Crossref | Google Scholar |
Kumar S, Kumar A (2022) Hotspot and trend analysis of forest fires and its relation to climatic factors in the western Himalayas. Natural Hazards 114, 3529-3544.
| Crossref | Google Scholar | PubMed |
Kumari S, Mamgain S, Roy A, Prince HC, Ahlawat A (2024) Earth Observation Based Characterization of Environmental Conditions for Forest Fire Risk in Western Himalayan Ecosystems Using Machine Learning Approach. Journal of the Indian Society of Remote Sensing 53: 307–318. 10.1007/s12524-024-02002-0
Legates DR, McCabe GJ (1999) Evaluating the use of “goodness‐of‐fit” Measures in hydrologic and hydroclimatic model validation. Water Resources Research 35, 233-241.
| Crossref | Google Scholar |
Li Z, Angerer JP, Wu XB (2021) Temporal patterns of large wildfires and their burn severity in rangelands of western United States. Geophysical Research Letters 48, e2020GL091636.
| Crossref | Google Scholar |
Maletha A, Maikhuri RK, Bargali SS, Sharma A, Negi VS, Rawat LS (2022) Vegetation dynamics and soil nutrient availability in a temperate forest along altitudinal gradient of Nanda Devi Biosphere Reserve, Western Himalaya, India. PLoS One 17, e0275051.
| Crossref | Google Scholar | PubMed |
Mamgain S, Roy A, Karnatak HC, Chauhan P (2023) Satellite-based long-term spatiotemporal trends of wildfire in the Himalayan vegetation. Natural Hazards 116, 3779-3796.
| Crossref | Google Scholar |
Miller JD, Safford H (2012) Trends in Wildfire Severity: 1984 to 2010 in the Sierra Nevada, Modoc Plateau, and Southern Cascades, California, USA. Fire Ecology 8, 41-57.
| Crossref | Google Scholar |
Neeti N, Eastman JR (2011) A contextual Mann–Kendall approach for the assessment of trend significance in image time series. Transactions in GIS 15, 599-611.
| Crossref | Google Scholar |
Ord JK, Getis A (1995) Local spatial sutocorrelation statistics: distributional issues and an application. Geographical Analysis 27, 286-306.
| Crossref | Google Scholar |
Prasad VK, Badarinath KVS, Eaturu A (2008) Biophysical and anthropogenic controls of forest fires in the Deccan Plateau, India. Journal of Environmental Management 86, 1-13.
| Crossref | Google Scholar | PubMed |
Reddy CS, Jha CS, Diwakar PG, Dadhwal VK (2015) Nationwide classification of forest types of India using remote sensing and GIS. Environmental Monitoring and Assessment 187, 777.
| Crossref | Google Scholar | PubMed |
Roces‐Díaz JV, Santín C, Martínez‐Vilalta J, Doerr SH (2022) A global synthesis of fire effects on ecosystem services of forests and woodlands. Frontiers in Ecology and the Environment 20, 170-178.
| Crossref | Google Scholar |
Roy PS, Roy A, Joshi PK, Kale MP, Srivastava VK, Srivastava SK, Dwevidi RS, Joshi C, Behera MD, Meiyappan P, Sharma Y, Jain AK, Singh JS, Palchowdhuri Y, Ramachandran RM, Pinjarla B, Chakravarthi V, Babu N, Gowsalya MS, Thiruvengadam P, Kotteeswaran M, Priya V, Yelishetty KMVN, Maithani S, Talukdar G, Mondal I, Rajan KS, Narendra PS, Biswal S, Chakraborty A, Padalia H, Chavan M, Pardeshi SN, Chaudhari SA, Anand A, Vyas A, Reddy MK, Ramalingam M, Manonmani R, Behera P, Das P, Tripathi P, Matin S, Khan ML, Tripathi OP, Deka J, Kumar P, Kushwaha D (2015) Development of decadal (1985-1995-2005) land use and land cover database for India. Remote Sensing 7, 2401-2430.
| Crossref | Google Scholar |
Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. Journal of the American Statistical Association 63, 1379-1389.
| Crossref | Google Scholar |
Singh RD, Gumber S, Tewari P, Singh SP (2016) Nature of forest fires in Uttarakhand: frequency, size and seasonal patterns in relation to pre-monsoonal environment. Current Science 111, 398.
| Crossref | Google Scholar |
Su H, Ma X, Li M (2023) An improved spatio-temporal clustering method for extracting fire footprints based on MCD64A1 in the Daxing’anling Area of north-eastern China. International Journal of Wildland Fire 32, 679-693.
| Crossref | Google Scholar |
Zahran E-SMM, Shams S (2020) Validation of forest fire hotspot analysis in gis using forest fire contributory factors. Systematic Reviews in Pharmacy 11, 249-255.
| Google Scholar |