Skip to main content

Advertisement

Log in

Geospatial characterization of deforestation, fragmentation and forest fires in Telangana state, India: conservation perspective

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

Conservation of biodiversity has been put to the highest priority throughout the world. The process of identifying threatened ecosystems will search for different drivers related to biodiversity loss. The present study aimed to generate spatial information on deforestation and ecological degradation indicators of fragmentation and forest fires using systematic conceptual approach in Telangana state, India. Identification of ecosystems facing increasing vulnerability can help to safeguard the extinctions of species and useful for conservation planning. The technological advancement of satellite remote sensing and Geographical Information System has increased greatly in assessment and monitoring of ecosystem-level changes. The areas of threat were identified by creating grid cells (5 × 5 km) in Geographical Information System (GIS). Deforestation was assessed using multi-source data of 1930, 1960, 1975, 1985, 1995, 2005 and 2013. The forest cover of 40,746 km2, 29,299 km2, 18,652 km2, 18,368 km2, 18,006 km2, 17,556 km2 and 17,520 km2 was estimated during 1930, 1960, 1975, 1985, 1995, 2005 and 2013, respectively. Historical evaluation of deforestation revealed that major changes had occurred in forests of Telangana and identified 1095 extinct, 397 critically endangered, 523 endangered and 311 vulnerable ecosystem grid cells. The fragmentation analysis has identified 307 ecosystem grid cells under critically endangered status. Forest burnt area information was extracted using AWiFS data of 2005 to 2014. Spatial analysis indicates total fire-affected forest in Telangana as 58.9 % in a decadal period. Conservation status has been recorded depending upon values of threat for each grid, which forms the basis for conservation priority hotspots. Of existing forest, 2.1 % grids had severe ecosystem collapse and had been included under the category of conservation priority hotspot-I, followed by 27.2 % in conservation priority hotspot-II and 51.5 % in conservation priority hotspot-III. This analysis complements assessment of ecosystems undergoing multiple threats. An integrated approach involving the deforestation and degradation indicators is useful in formulating the strategies to take appropriate conservation measures.

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

Similar content being viewed by others

References

  • http://censusindia.gov.in/.

  • Chavez, P. S. (1996). Image-based atmospheric corrections—revisited and improved. Photogrammetric Engineering and Remote Sensing, 62, 1025–1036.

    Google Scholar 

  • Costanza, R., et al. (1997). The value of the world’s ecosystem services and natural capital. Nature, 387, 253–260.

    Article  CAS  Google Scholar 

  • FAO (2011). Assessing forest degradation—towards the development of globally applicable guidelines. Forest Resources Assessment Working Paper, 177. Rome.

  • Hadeel, A., Jabbar, M., & Chen, X. (2011). Remote sensing and GIS application in the detection of environmental degradation indicators. Geo-spatial Information Science, 14, 39–47.

    Article  Google Scholar 

  • Harikrishna, P., Saranya, K. R. L., Reddy, C. S., Jha, C. S., & Dadhwal, V. K. (2014). Assessment and monitoring of deforestation from 1930’s to 2011 in Andhra Pradesh, India using remote sensing and collateral data. Current Science, 107(5), 867–875.

    Google Scholar 

  • http://glcf.umiacs.umd.edu. Accessed on 8th February, 2013.

  • http://www.iucnredlistofecosystems.org/. Accessed on 6th May 2014.

  • http://www.lib.utexas.edu/maps/ams/india/ Accessed on 8th February 2013.

  • IUCN. (2010). Guidelines for using the IUCN Red List categories and criteria. Version 8.0. Standards and Petitions Subcommittee of the IUCN Species Survival Commission, IUCN, Species Survival Commission, Gland. Available from http://intranet.iucn.org/webfiles/doc/SSC/RedList/RedListGuidelines.pdf. Accessed 12 Oct 2013.

  • Keith, D.A., Rodriguez, J.P., Rodriguez-Clark, K.M., Nicholson, E,, Aapala, K., et al., (2013). Scientific foundations for an IUCN Red List of ecosystems. PloS One 8(5), e62111. doi:10.1371/journal.pone.0062111.

  • McArthur, R. H., & Wilson, E. O. (1967). The theory of island biogeography. Princeton, NJ:Princeton University Press.

    Google Scholar 

  • Mace, G. M., Collar, N. J., Gaston, K. J., et al. (2008). Quantification of extinction risk: IUCN’s system for classifying threatened species. Conservation Biology, 22, 1424–1442.

    Article  Google Scholar 

  • Noss, R. F. (1999). Assessing and monitoring forest biodiversity: a suggested framework and indicators. Forest Ecology and Management, 115, 135–146.

    Article  Google Scholar 

  • Reddy, C. S., Chaya, P., & Varma, Y. N. R. (2009). Classifying species at risk: conservation problem. Current Science, 96(3), 326–327.

    Google Scholar 

  • Reddy, C. S., Dutta, K., & Jha, C. S. (2013a). Analysing the gross and net deforestation rates in India. Current Science, 105(11), 1492–1500.

    Google Scholar 

  • Reddy, C. S., Jha, C. S., & Dadhwal, V. K. (2013b). Assessment and monitoring of long-term forest cover changes in Odisha, India using remote sensing and GIS. Environmental Monitoring and Assessment, 185, 4399–4415.

    Article  Google Scholar 

  • Reddy, C. S., Sreelekshmi, S., Jha, C. S., & Dadhwal, V. K. (2013c). National assessment of forest fragmentation in India: landscape indices as measures of the effects of fragmentation and forest cover change. Ecological Engineering, 60, 453–464.

    Article  Google Scholar 

  • Reddy, C. S., Khuroo, A. A., Harikrishna, P., Saranya, K. R. L., Jha, C. S., & Dadhwal, V. K. (2014a). Threat evaluation for biodiversity conservation of forest ecosystems using geospatial techniques: a case study of Odisha, India. Ecological Engineering, 69, 287–303.

    Article  Google Scholar 

  • Reddy, C. S., Jha, C. S., & Dadhwal, V. K. (2014b). Spatial dynamics of deforestation and forest fragmentation (1930-2013) in Eastern Ghats, India. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-8, 637–644. doi:10.5194/isprsarchives-XL-8-637-2014.

    Article  Google Scholar 

  • Reddy, C. S., Rajashekar, G., Harikrishna, P., Jha, C. S., & Dadhwal, V. K. (2015). Multi-source and multi-date mapping of deforestation in Central India (1935-2010) and its implication on standing phytomass carbon pool. Ecological Indicators, 57, 219–227.

    Article  Google Scholar 

  • Reddy, C. S., Pujar, G. S., Sudhakar, S., Shilpa, B., Sudha, K., Trivedi, S., Gharai, B., & Murthy, M. S. R. (2008). Mapping the vegetation types of Andhra Pradesh, India using remote sensing. Proceedings Andhra Pradesh Akademi of Sciences, 12(1&2), 14–23.

    Google Scholar 

  • Rodriguez, J. P., Balch, J. K., & Rodríguez-Clark, K. M. (2007). Assessing extinction risk in the absence of species-level data: quantitative criteria for terrestrial ecosystems. Biodiversity and Conservation., 16, 183–209.

    Article  Google Scholar 

  • Rodriguez, J. P., Clark, K. M., Baillie, J. E., et al. (2011). Establishing IUCN Red List Criteria for threatened ecosystems. Conservation Biology, 25, 21–29.

    Article  Google Scholar 

  • Roy, P. S., & Tomar, S. (2000). Biodiversity characterisation at landscape level using geo-spatial modeling technique. Biological Conservation, 95, 95–109.

    Article  Google Scholar 

  • Schowengerdt, R. A. (1997). Remote sensing: models and methods for image processing. San Diego, California:Academic Press.

    Google Scholar 

  • Thompson, I. D., Guariguata, M. R., Okabe, K., Bahamondez, C., Nasi, R., Heymell, V., & Sabogal, C. (2013). An operational framework for defining and monitoring forest degradation. Ecology and Society, 18(2), 20.

    Article  Google Scholar 

  • UNESCAP & ADB (2000). State of the environment in Asia and Pacific 2000. In Economic and social commission for Asia and the Pacific and Asian Development Bank. New York: United Nations.

    Google Scholar 

  • Wulf, M., Sommer, M., & Schmidt, R. (2010). Forest cover changes in the Prignitz region (NE Germany) between 1790 and 1960 in relation to soils and other driving forces. Landscape Ecology, 25, 299–313.

    Article  Google Scholar 

Download references

Acknowledgments

The present work has been carried out as part of ISRO’s National Carbon Project. The authors are grateful to ISRO-DOS Geosphere Biosphere Programme for the financial support. We thank the editor and anonymous reviewers for their valuable comments and suggestions, which helped us to improve the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. Sudhakar Reddy.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sudhakar Reddy, C., Vazeed Pasha, S., Jha, C.S. et al. Geospatial characterization of deforestation, fragmentation and forest fires in Telangana state, India: conservation perspective. Environ Monit Assess 187, 455 (2015). https://doi.org/10.1007/s10661-015-4673-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-015-4673-5

Keywords

Navigation