Literature DB >> 26350795

Geospatial monitoring and prioritization of forest fire incidences in Andhra Pradesh, India.

G Manaswini1, C Sudhakar Reddy.   

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 km(2) (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 km(2) 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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Year:  2015        PMID: 26350795     DOI: 10.1007/s10661-015-4821-y

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  Application of remote sensing and geographical information system in mapping forest fire risk zone at Bhadra wildlife sanctuary, India.

Authors:  S V Sowmya; R K Somashekar
Journal:  J Environ Biol       Date:  2010-11

2.  Decadal time-scale monitoring of forest fires in Similipal Biosphere Reserve, India using remote sensing and GIS.

Authors:  K R L Saranya; C Sudhakar Reddy; P V V Prasada Rao; C S Jha
Journal:  Environ Monit Assess       Date:  2014-01-29       Impact factor: 2.513

  2 in total
  2 in total

1.  Risk of fire occurrence in arid and semi-arid ecosystems of Iran: an investigation using Bayesian belief networks.

Authors:  Hossein Bashari; Ali Asghar Naghipour; Seyed Jamaleddin Khajeddin; Hamed Sangoony; Pejman Tahmasebi
Journal:  Environ Monit Assess       Date:  2016-08-23       Impact factor: 2.513

2.  Monitoring Natural World Heritage Sites: optimization of the monitoring system in Bogda with GIS-based multi-criteria decision analysis.

Authors:  Zhaoguo Wang; Xishihui Du
Journal:  Environ Monit Assess       Date:  2016-06-01       Impact factor: 2.513

  2 in total

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