Analysis and interpretation of forest fire data of Sikkim
DOI:
https://doi.org/10.24259/fs.v5i2.10931Keywords:
Forest fire, Biodiversity, Ecology, Sikkim, Linear regressionAbstract
Forest ecosystems are depleting and heading towards degradation which would adversely affect the world's socio-economic harmony. Various disasters disturb the cordial relationship of the flora and fauna and impose imbalance in the ecology as a whole; forest fire is one of its kind. India has witnessed a 125% rise in forest fire occurrences between the years 2015 and 2017. This paper presents a study of various factors and the analysis of forest fire in Sikkim. The period of 10 years, forest fire incidences, i.e., from the year 2004 to the year 2014 have been considered for the study. The forest fire data was collected from Forest and Environment Department, Government of Sikkim, and preliminary processing was performed to check for anomalies. The study observed that there has been an increased forest fire incidence over the years and highest being in the year 2009. These fire incidences have damaged a total area of 5,047.16 ha of land damaging various flora and fauna. It was observed that the maximum forest fire cases are below an altitude of 1500m, during winter months (December to February extending to March) and in sub-tropical Sal (Shorea robusta) forest. West district of Sikkim recorded the highest number of forest fire incidences and area covered followed by south and east districts; the north district was least affected. As per the visual interpretation of forest fire incidence data and literature review, the main factors responsible for forest fire in Sikkim are low rainfall, dry winter season, and type of vegetation. Also, a linear regression was performed between weather factors like average temperature (°C), relative humidity (%), and wind velocity (Km/h) on incidences of forest fire between the year 2009-2014 (n=389). It was found that the average temperature (r=0.37, Slope=9.59 and SD= ±12.00) and relative humidity (r=-0.6, Slope=-4.52, and SD=±2.68) plays a moderate linear relationship in influencing the incidences of forest fires. However, wind velocity showed almost a flat curve indicating its minimal role in influencing forest fire incidences. Parameter modelling and preparation of forest fire risk zone map would be an effective tool in preventing and managing forest fire in Sikkim.
References
Ajin, R. S., Loghin, A. M., Vinod, P. G., & Jacob, M. K. (2016). Forest fire risk zone mapping using RS and GIS techniques: a study in Achankovil Forest Division, Kerala, India. Journal of Earth, Environment and Health Sciences, 2(3), 109. https://doi.org/10.4103/2423-7752.199288
Alauddin, M., Hossain, M.N., Islam, M.B., Islam, S., and Islam, M.K. (2020). Management Strategies for Sustainable Forest Biodiversity Conservation in Protected Areas of Bangladesh: A Study of Bhawal National Park, Gazipur. Grassroots Journal of Natural Resources, 3(3): 56-72. https://doi.org/10.33002/nr2581.6853.03035
Assessment, G. F. R. (2010). Main report. Food and Agriculture Organization of the United Nations, Rome.
Bajocco, S., Koutsias, N., & Ricotta, C. (2017). Linking fire ignitions hotspots and fuel phenology: The importance of being seasonal. Ecological Indicators, 82, 433-440. https://doi.org/10.1016/j.ecolind.2017.07.027
Berwyn B. (2018). How Wildfires Can Affect Climate Change (and Vice Versa). Inside climate news. It's complicated: While CO2 causes long-term warming, aerosols can have both a warming and a temporary cooling effect. https://insideclimatenews.org/news/23082018/extreme-wildfires-climate-change-global-warming-air-pollution-fire-management-black-carbon-co2/
Bidwell, T. G., Masters, R. E., Weir, J. R., & Engle, D. M. (2005). Fire effects in native plant communities.https://extension.okstate.edu/fact-sheets/fire-effects-in-native-plant-communities.html
Cannon, S. H., Kirkham, R. M., & Parise, M. (2001). Wildfire-related debris-flow initiation processes, Storm King Mountain, Colorado. Geomorphology, 39(3-4), 171-188. https://doi.org/10.1016/S0169-555X(00)00108-2
Das, S. K., Avasthe, R. K., Sharma, P., & Sharma, K. (2017). Rainfall characteristics pattern and distribution analysis at Tadong East Sikkim. Indian Journal of Hill Farming, 30(2), 326-330. https://epubs.icar.org.in
Frankenberg, E., McKee, D., & Thomas, D. (2005). Health consequences of forest fires in Indonesia. Demography, 42(1), 109-129. https://doi.org/10.1353/dem.2005.0004
FSI (1995). Forest Survey of India. The state of Forest Report. Government of India-Ministry of Environment and Forest. https://fsi.nic.in/
FSI (2019). Forest Survey of India. The state of Forest Report. Government of India-Ministry of Environment and Forest. 233-241 pp. https://fsi.nic.in/forest-report-2019
Ganguli-Lachungpa, U., Rahmani, A. R., & Islam, M. Z. U. (2011). Eleven priority areas for conservation: important bird areas of Sikkim. Biodiversity of Sikkim: exploring and conserving a global hotspot. Government of Sikkim, Gangtok. http://sikenvis.nic.in/writereaddata/chapter15.pdf
Gigović, L., Jakovljević, G., Sekulović, D., & Regodić, M. (2018). GIS Multi-Criteria Analysis for Identifying and Mapping Forest Fire Hazard: Nevesinje, Bosnia, and Herzegovina. Tehničkivjesnik, 25(3), 891-897. https://doi.org/10.17559/TV-20151230211722
Goldammer, J. G. (2001). Fire situation in Mongolia. In FRA Global forest fire assessment 1990-2000 (pp. 225-234). FAO. http://hdl.handle.net/11858/00-001M-0000-0014-92DE-8
Gupta, A. K., & Nair, S. S. (2012). Environmental Extremes Disaster Risk Management-Addressing Climate change. National Institute of Disaster Management, New Delhi, P, 40.https://nidm.gov.in/PDF/pubs/Environmental%20Extreme.pdf
Hoffmann, A. A., Siegert, F., &Hinrichs, A. (1999). Fire damage in East Kalimantan in 1997/98 related to land use and vegetation classes: satellite radar inventory results and proposals for further actions. IFFM/SFMP. http://cidbimena.desastres.hn/pdf/eng/doc15627/doc15627-1.pdf
Hooker, J.D. 1854. Himalayan Journals, Vols I & II. Natraj Publishers, Dehradun, India. https://doi.org/10.5962/bhl.title.60447
Hossain, M.N., Rokanuzzaman, M., Rahman, M. and Bodiuzzaman, M. (2015). Causes of Deforestation and Conservation of Madhupur Sal Forest in the Tangail Region. Journal of Environmental Science and Natural Resources, 6(2): 109-114. https://doi.org/10.3329/jesnr.v6i2.22105
Joseph, S., Anitha, K., & Murthy, M. S. R. (2009). Forest fire in India: a review of the knowledge base. Journal of forest research, 14(3), 127-134.https://doi.org/10.1007/s10310-009-0116-x
Kalantar, B., Ueda, N., Idrees, M. O., Janizadeh, S., Ahmadi, K., & Shabani, F. (2020). Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data. Remote Sensing, 12(22), 3682. https://doi.org/10.3390/rs12223682
Kappes, M. S., Keiler, M., von Elverfeldt, K., & Glade, T. (2012). Challenges of analyzing multi-hazard risk: a review. Natural hazards, 64(2), 1925-1958. https://doi.org/10.1007/s11069-012-0294-2
Keane, R. E., Burgan, R., & van Wagtendonk, J. (2001). Mapping wildland fuels for fire management across multiple scales: integrating remote sensing, GIS, and biophysical modeling. International Journal of Wildland Fire, 10(4), 301-319.https://doi.org/10.1071/WF01028
Keane, R. E., Drury, S. A., Karau, E. C., Hessburg, P. F., & Reynolds, K. M. (2010). A method for mapping fire hazard and risk across multiple scales and its application in fire management. Ecological Modelling, 221(1), 2-18.https://doi.org/10.1016/j.ecolmodel.2008.10.022
Li, Y., Zhao, J., Guo, X., Zhang, Z., Tan, G., & Yang, J. (2017). The influence of land use on the grassland fire occurrence in the Northeastern Inner Mongolia autonomous region, China. Sensors, 17(3), 437. https://doi.org/10.3390/s17030437
Liu, X., Huey, L. G., Yokelson, R. J., Selimovic, V., Simpson, I. J., Müller, M., ...& Butterfield, Z. (2017). Airborne measurements of western US wildfire emissions: Comparison with prescribed burning and air quality implications. Journal of Geophysical Research: Atmospheres, 122(11), 6108-6129.https://doi.org/10.1002/2016JD026315
Malik, T., Rabbani, G., & Farooq, M. (2013). Forest fire risk zonation using remote sensing and GIS technology in Kansrao Forest Range of Rajaji National Park, Uttarakhand, India. India. Inter. J. of advanced RS and GIS, 2(1), 86-95.http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-56
Matin, M. A., Chitale, V. S., Murthy, M. S., Uddin, K., Bajracharya, B., & Pradhan, S. (2017). Understanding forest fire patterns and risk in Nepal using remote sensing, geographic information system and historical fire data. International journal of wildland fire, 26(4), 276-286.https://doi.org/10.1071/WF16056
Nakagoshi, Nobukazu & Nehira, K. & Takahashi, F.. (1987). The role of fire in pine forests of Japan. The Role of Fire in Ecological System. In L. Trabaud, ed., The role of fire in ecological systems, p. 91-119. The Hague. SPB Academic Publishing.
Rahman, H., Karuppaiyan, R., Senapati, P. C., Ngachan, S. V., & Kumar, A. (2012). An analysis of past three decade weather phenomenon in the mid-hills of Sikkim and strategies for mitigating possible impact of climate change on agriculture. Climate Change in Sikkim: Patterns, Impacts and Initiatives, 1-18.
Randerson, J. T., Chen, Y., Van Der Werf, G. R., Rogers, B. M., & Morton, D. C. (2012). Global burned area and biomass burning emissions from small fires. Journal of Geophysical Research: Biogeosciences, 117(G4). https://doi.org/10.1029/2012JG002128
Rather, M. A., Farooq, M., Meraj, G., Dada, M. A., Sheikh, B. A., & Wani, I. A. (2018). Remote sensing and GIS-based forest fire vulnerability assessment in Dachigam National park, North-Western Himalaya. Asian Journal of Applied Sciences, 11(2), 98-114.https://doi.org/10.3923/ajaps
Reddy, C. S., Alekhya, V. P., Saranya, K. R. L., Athira, K., Jha, C. S., Diwakar, P. G., &Dadhwal, V. K. (2017). Monitoring of fire incidences in vegetation types and Protected Areas of India: Implications on carbon emissions. Journal of Earth System Science, 126(1), 11.https://doi.org/10.1007/s12040-016-0791-x
Saha, P. K., Bodiuzzaman, M., Uddin, M. N., Hossain, M. N., & Shanta, A. S. (2014). A Study on the management strategies of protected areas in Bangladesh for biodiversity conservation on Nijhum Dwip, Noakhali, Bangladesh. International Journal of Innovative Research and Development, 3(7), 140-148
Saklani, P. (2008). Forest Fire Risk Zonation: A Case Study Pauri Garhwal, Uttarakhand, India. ITC.
Sarab, S. A., Feghhi, J., & Goshtasb, H. (2014). Determining the main parameters affecting forest fire using MLP neural network (Forests of Western Iran: Izeh). International Journal of Molecular Evolution and Biodiversity, 3.https://doi.org/10.5376/ijmeb.2013.03.0004
Satendra, & Kaushik, A. D. (2014). Forest fire disaster management. New Delhi: National Institute of Disaster Management, Ministry of Home Affairs, Government of India.
Sharma, R. K., Sharma, N., Shrestha, D. G., Luitel, K. K., Arrawatia, M. L., & Pradhan, S. (2012). Study of forest fires in Sikkim Himalayas, India using remote sensing and GIS techniques. Climate Change in Sikkim–Patterns, Impacts and initiatives, 233-244.
Sharma, S., Joshi, V., & Chhetri, R. K. (2014). Forest fire as a potential environmental threat in recent years in Sikkim, Eastern Himalayas, India. Climate Change and Environmental Sustainability, 2(1), 55-61.https://doi.org/10.5958/j.2320-642X.2.1.006
Srivastava K. (2020). Most forest fires in India on account of human activity. Mongabay. Flood and drought series.https://india.mongabay.com/2020/01/most-forest-fires-in-india-on-account-of-human-activity/
Stocks, B. J., & Kauffman, J. B. (1997). Biomass consumption and behavior of wildland fires in boreal, temperate, and tropical ecosystems: Parameters necessary to interpret historical fire regimes and future fire scenarios. In Sediment records of biomass burning and global change (pp. 169-188). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59171-6_8
Sundriyal, M., Sundriyal, R. C., & Sharma, E. (2004). Dietary use of wild plant resources in the Sikkim Himalaya, India. Economic Botany, 58(4), 626-638. https://doi.org/10.1663/0013-0001(2004)058[0626:DUOWPR]2.0.CO;2
Suryabhagavan, K. V., Alemu, M., &Balakrishnan, M. (2016). GIS-based multi-criteria decision analysis for forest fire susceptibility mapping: a case study in Harenna forest, southwestern Ethiopia. Tropical Ecology, 57(1), 33-43.
Tamang, D. K., Dhakal, D., Gurung, S., Sharma, N. P., & Shrestha, D. G. (2013). Bamboo diversity, distribution pattern and its uses in Sikkim (India) Himalaya. International Journal of Scientific and Research Publications, 3(2), 1-6.
Tonini, M., D’Andrea, M., Biondi, G., Degli Esposti, S., Trucchia, A., & Fiorucci, P. (2020). A Machine Learning-Based Approach for Wildfire Susceptibility Mapping. The Case Study of the Liguria Region in Italy. Geosciences, 10(3), 105.https://doi.org/10.3390/geosciences10030105
Van Der Werf, G. R., Randerson, J. T., Giglio, L., Van Leeuwen, T. T., Chen, Y., Rogers, B. M., & Yokelson, R. J. (2017). Global fire emissions estimate during 1997-2016. Earth System Science Data, 9(2), 697-720.https://doi.org/10.5194/essd-9-697-2017
Varma, A. (2003). The economics of slash and burn: a case study of the 1997–1998 Indonesian forest fires. Ecological Economics, 46(1), 159-171.https://doi.org/10.1016/S0921-8009(03)00139-3
Ye, T., Wang, Y., Guo, Z., & Li, Y. (2017). Factor contribution to fire occurrence, size, and burn probability in a subtropical coniferous forest in East China. PloS one, 12(2), e0172110. https://doi.org/10.1371/journal.pone.0172110
Yong, D. L., & Peh, K. S. H. (2016). South-east Asia's forest fires: blazing the policy trail. Oryx, 50(2), 207-212.https://doi.org/10.1017/S003060531400088X
Zorn, T., K. Nakayama & Hashiramoto, O. (2001). The forest fire situation in Japan. Int. Forest Fire News 26.
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