Abstract
Forest fire has been identified as one of the key environmental issue for long-term conservation of biodiversity and has impact on global climate. Spatially multiple observations are necessary for monitoring of forest fires in tropics for understanding conservation efficacy and sustaining biodiversity in protected areas. The present work was carried out to estimate the spatial extent of forest burnt areas and fire frequency using Resourcesat Advanced Wide Field Sensor (AWiFS) data (2009, 2010, 2012, 2013 and 2014) in Andhra Pradesh, India. The spatio-temporal analysis shows that an area of 7514.10 km2 (29.22 % of total forest cover) has been affected by forest fires. Six major forest types are distributed in Andhra Pradesh, i.e. semi-evergreen, moist deciduous, dry deciduous, dry evergreen, thorn and mangroves. Of the total forest burnt area, dry deciduous forests account for >75 %. District-wise analysis shows that Kurnool, Prakasam and Cuddapah have shown >100 km2 of burnt area every year. The total forest burnt area estimate covering protected areas ranges between 6.9 and 22.3 % during the study period. Spatial burnt area analysis for protected areas in 2014 indicates 37.2 % of fire incidences in the Nagarjunasagar Srisailam Tiger Reserve followed by 20.2 % in the Sri Lankamalleswara Wildlife Sanctuary, 20.1 % in the Sri Venkateswara Wildlife Sanctuary and 17.4 % in the Gundla Brahmeswaram Wildlife Sanctuary. The analysis of cumulative fire occurrences from 2009 to 2014 has helped in delineation of conservation priority hotspots using a spatial grid cell approach. Conservation priority hotspots I and II are distributed in major parts of study area including protected areas of the Nagarjunasagar Srisailam Tiger Reserve and Gundla Brahmeswaram Wildlife Sanctuary. The spatial database generated will be useful in studies related to influence of fires on species adaptability, ecological damage assessment and conservation planning.
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References
Badarinath, K. V. S., & Prasad, K. V. (2011). Carbon dioxide emissions from forest biomass burning in India. Global Environmental Research, 15, 45–52.
Chand, K. T. R., Badarinath, K. V. S., Prasad, K. V., Murthy, M. S. R., Elvidge, C. D., & Tuttle, B. T. (2006). Monitoring forest fires over the Indian region using DMSP-OLS night time satellite data. Remote Sensing of Environment, 103, 165–178.
Chander, G., Coan, M. J., & Scaramuzza, P. L. (2008). Evaluation and comparison of the IRS-P6 and the Landsat sensors. Geoscience and Remote Sensing, IEEE Transactions on, 46(1), 209–221.
Chavez, P. S. (1996). Image-based atmospheric corrections—revisited and improved. Photogrammetric Engineering and Remote Sensing, 62, 1025–1036.
FAO. (2003). http://www.fao.org/english/newsroom/news/2003/21962-en.html. Accessed 8 Feb 2014.
FAO. (2007). Food and Agriculture Organization of the United Nation 2007. Fire management global assessment 2006.
Giriraj, A., Shilpa, B., Jentsch, A., Sudhakar, S., & Murthy, M. S. R. (2010). Tracking fires in India using advanced along track scanning radiometer (A)ATSR data. Remote Sensing, 2, 591–610.
Goldammer, J. G., & De Ronde, C. (2004). Wildland fire management handbook for Sub-Sahara Africa. African Minds.
Gubbi, S. (2003). Fire, fire burning bright. Deccan Herald, Bangalore, India. http://www.Wildlifefirst.info/images/worldfiles/fire.doc. Accessed 15 Aug 2014.
Harikrishna, P., Saranya, K. R. L., Reddy, C. S., Jha, C. S., & Dadhwal, V. K. (2014). Assessment and monitoring of deforestation from 1930s to 2011 in Andhra Pradesh, India using remote sensing and collateral data. Current Science, 107, 867–875.
Harikrishna, P., & Reddy, C. S. (2012). Assessment of increasing threat of forest fires in Rajasthan, India using multi-temporal remote sensing data (2005–2010). Current Science, 102(9), 1288–1297.
http://glcf.umiacs.umd.edu/. Accessed 12 May 2014.
IFFN, (2002). Fire situation in India. International Forest Fire News, 26th January 2002, pp. 23–27.
IMD (2009). http://www.imd.gov.in/doc/warm2009. Accessed 20 Jan 2014.
Jaiswal, R. K., Mukherjee, S., Raju, K. D., & 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.
Joseph, S., Anitha, K., & Murthy, M. S. R. (2009). Forest fire in India: a review of the knowledge base. Journal of Forest Research, 14, 127–134.
Kodandapani, N., Cochrane, M. A., & Sukumar, R. (2004). Conservation threat of increasing fire frequencies in the Western Ghats, India. Conservation Biology, 18, 1553–1561.
NRSA (2006). Perspectives of geoinformatics in forest fire management (Indian Forest Fire Response and Assessment System). NRSA, Hyderabad:Technical Report.
Pereira, J. M., Sousa, A. M., Sá, A. C., Martín, M. P., & Chuvieco, E. (1999). Regional-scale burnt area mapping in southern Europe using NOAA-AVHRR 1 km data. In Remote sensing of large wildfires. Springer, Berlin, 139–155.
Petropoulos, G. P., Kontoes, C., & Keramitsoglou, I. (2011). Burnt area delineation from a uni-temporal perspective based on Landsat TM imagery classification using support vector machines. International Journal of Applied Earth Observation and Geoinformation, 13(1), 70–80.
Reddy, C. S., Harikrishna, P., Anitha, K., & Joseph, S. (2012). Mapping and inventory of forest fires in Andhra Pradesh, India: current status and conservation needs. ISRN Forestry. doi:10.5402/2012/380412.
Reddy, C. S., Khuroo, A. A., Hari Krishna, P., Saranya, K. R. L., Jha, C. S., & Dadhwal, V. K. (2014). Threat evaluation for biodiversity conservation of forest ecosystems using geospatial techniques: a case study of Odisha, India. Ecological Engineering, 69, 287–303.
Saranya, K. R. L., Reddy, C. S., Prasada Rao, P. V. V., & Jha, C. S. (2014). Decadal time scale monitoring of forest fires in Similipal Biosphere Reserve, India using remote sensing and GIS. Environmental Monitoring and Assessment, 186, 3283–3296.
Somashekar, R. K., Ravikumar, P., Kumar, C. M., Prakash, K. L., & Nagaraja, B. C. (2009). Burnt area mapping of Bandipur National Park, India using IRS 1C/1D LISS III data. Journal of the Indian Society of Remote Sensing, 37(1), 37–50.
Sowmya, S. V., & Somashekar, R. K. (2010). Application of remote sensing and geographical information system in mapping forest fire risk zone at Bhadra Wildlife Sanctuary, India. Journal of Environmental Biology, 31(6), 969–974.
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The authors are thankful to Dr. V.K. Dadhwal, Director, NRSC, Dr. P.G. Diwakar, Deputy Director and Dr. C.S. Jha, Group Director, Forestry and Ecology Group, NRSC for the facilities and encouragement. The first author is thankful to Dr. T. Vijayalakshmi, Head, Centre for Environment, JNTU, Hyderabad, for suggestions and necessary support.
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Manaswini, G., Sudhakar Reddy, C. Geospatial monitoring and prioritization of forest fire incidences in Andhra Pradesh, India. Environ Monit Assess 187, 616 (2015). https://doi.org/10.1007/s10661-015-4821-y
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DOI: https://doi.org/10.1007/s10661-015-4821-y