Spatio-temporal Assessment of Forest and Land Use with reference to Galliformes habitats in the Upper Catchment of Tons Valley using Earth Observation data

Sonal Arora, Dr. Sarnam Singh, Dr. Sambandam Sathyakumar

Abstract


The Himalayan Galliformes inhabit varied habitats in forested landscape of subtropical to alpine vegetation with dense to moderate undergrowth. These beautiful birds are highly secretive and sensitive to human presence. These are poached for feather and meat, and are listed in WPA Schedule I and IUCN. Therefore, information of the status of their habitats is important for long-term conservation and management planning. The forest vegetation types and land uses were mapped using Landsat series data of 1994, 2002 and 2016 for evaluating dynamics of ecosystems and/or habitats of Galliformes in upper catchment Tons river covering Govind Pashu Vihar National Park, Biodiversity hotspot region of Western Himalaya. The forest vegetation varied from degraded scrub to dense temperate broadleaf and coniferous forests that provide wide range of habitat to different species of Galliformes. Though the area is not densely populated by humans, but the activities such as fuelwood collection, lopping for fodder, overgrazing by livestock, including migratory nomadic grazers, tourists’ camps and other activities occur in the habitats of the sensitive and habitat specialist fauna including Galliformes. We used hybrid classification approach to classify three times data and an overall accuracy of these maps ranged between 81.25 % (1994), 82.85 (2002) and 84.4% (2016). The LULC area analyses indicated very marginal but significant loss in subtropical scrub (1.34 km2), and subtropical Chir Pine forest (0.53 km2) mainly due to expansion of agriculture land at lower altitude. Also, a decrease in Conifer-wooded forest (1.09 km2) was noticed due to human activities. Thus, it may be concluded that overall tree cover has not undergone drastic changes at ecosystem and landscape level and may be attributed to good forest management practices. We recommend that along with maintenance of tree cover, protection to under-storey vegetation, that is one of the critical requirements for Galliformes, is also provided.


Keywords


Satellite data; Forest Cover Type Mapping; Galliformes; Biodiversity Conservation, LULC dynamics, Anthropogenic pressure.

References


Abd El-Kawy, O. R.; Rød, J. K.; Ismail, H. A. and Suliman, A. S. 2011. Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data. Applied Geography 31(2): 483–494.

Akike, S. and Samanta, S. 2016. Land use/land cover and forest canopy density monitoring of Wafi-Golpu project area, Papua New Guinea. Journal of Geoscience and Environment Protection 4: 1-14

Almeida, C. A. De; Coutinho, A. C.; César, J.; Mora, D.; Adami, M.; Venturieri, A.; Diniz, C. G.; Dessay, N.; Durieux, L. and Gomes, A. R. 2008. High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5 / TM and MODIS data 46(3): 291–302.

Anderson, J.R.; Hardy, E.E.; Roach, J.T. and Witmer R.E. 1976. A land use and land cover classification system for use with remote sensor data. Geological Survey Professional, U.S. Government Printing Office, Washington DC 964: 1-28.

Anonymous. 2019. Management Plan of Govind National Park.

Areendran, G.; Raj, K.; Mazumdar, S. and Sharma, A. 2017. Land use and land cover change analysis for Kosi river wildlife corridor in Terai Arc landscape of Northern India: Implications for future management. Tropical Ecology 58(1): 139–149.

Areendran, G.; Rao, P.; Raj, K.; Mazumdar, S. and Puri, K. 2013. Land use/land cover change dynamics analysis in mining areas of Singrauli district in Madhya Pradesh, India. Tropical Ecology 54(2): 239–250.

Babu, S.; Singh, S.; Goyal, S. P. and Shruti, M. 2019. Dynamics of Asian Elephant Habitat in Shivalik Landscape and Environs of Kalesar-Rajaji–Corbett Protected Area Network. International Journal of Ecology and Environmental Sciences 45(2): 205-228.

Batar, A. K.; Watanabe, T. and Kumar, A. 2017. Assessment of land-use/land-cover change and forest fragmentation in the Garhwal Himalayan Region of India. Environments 4(2) 34: 1-16.

Bhattacharya T. and Sathyakumar S. 2007. Impact of Anthropogenic Pressures on Abundance and Distribution of Galliformes at Bedini-Ali, Nanda Devi Biosphere Reserve, Uttarakhand In. Sathyakumar S., Sivakumar K. (eds). Galliformes of India. ENVIS Bull., Wildlife Protected Areas 10(1): 155-162

Bisht, M. and Dobriyal, A. K. 2002. Status and distribution of Cheer Pheasant Catreus wallichii in Garhwal Himalaya, Uttaranchal. Pages 6-10, In: Proceedings of National Symposium on Galliformes, February 20-22, 2002, Division of Wildlife Biology, A.V.C. College, Mayiladuthurai, Tamil Nadu.

Chakraborty, A.; Sachdeva, K. and Joshi, P. K. 2016. Mapping long-term land use and land cover change in the central Himalayan region using a tree-based ensemble classification approach. Applied Geography 74: 136-150.

Chamling, M. and Bera, B. 2020. Spatio-temporal patterns of land use/land cover change in the Bhutan–Bengal foothill region between 1987 and 2019: study towards geospatial applications and policy making. Earth Systems and Environment 4: 117-130.

Champion, H.G. and Seth, S.K. 1968 A Revised Forest Types of India. Manager of Publications, Government of India, New Delhi. 404 pages.

Chandrashekhar, M.B.; Singh, S. and Roy, P. 2003. Geospatial modelling techniques for rapid assessment of phytodiversity at landscape level in western Himalayas, Himachal Pradesh. Current Science 84: 663-670.

Eiumnoh, A. and Shrestha, R. P. 1997. Can DEM Enhance the Digital Image Classification?. Pages 1-6, In: Proceedings of the 18th Asian Conference on Remote Sensing, October 20-24, 1997, Kuala Lumpur, Malaysia.

Garrard, R.; Kohler, T.; Price, M. F.; Byers, A. C.; Sherpa, A. R. and Maharjan, G. R. 2016. Land use and land cover change in Sagarmatha National Park, a world heritage site in the Himalayas of Eastern Nepal. Mountain Research and Development 36(3): 299-310.

Garson, P.; Young, I. and Kaul, R. 1992. Ecology and conservation of the Cheer pheasant (Catreus wallichii): Studies in the wild and the progress of a reintroduction project. Biological Conservation 59: 25-35.

Gaston, A. 1980. Census techniques for Himalayan pheasants including notes on individual species. Journal of World Pheasant Association 5: 40-53

Gautam, N. C. and Chennaiah, G. C. 1985. Land-use and land-cover mapping and change detection in Tripura using satellite LANDSAT data. International Journal of Remote Sensing, 6(3-4): 517-528.

Gerçek, D. 2004. Improvement of image classification with the integration of topographical data. Pages 1-6, In: Proceedings of the XXth ISPRS Congress, July 12-23, 2004, Turkey.

Grimmett, R. and Inskipp, T. 2018. Birds of northern India. Second Edition. Bloomsbury Publishing, London. 304 Pages.

Gupta, S.; Singh, S.; Agarwal, S. and Roy, P. S. 2006. Degradation of tropical evergreen forests in Mokokchung, Nagaland, India. International Journal of Ecology and Environmental Sciences 32(4): 345–356.

Harris, P.M. and Ventura, S.J. 1995. The integration of geographic data with remotely sensed imagery to improve classification in an urban area. Photogrammetric Engineering and Remote Sensing 61: 993–998.

Hutchinson, C.F. 1982. Techniques for combining Landsat and ancillary data for digital classification improvement. Photogrammetric Engineering and Remote Sensing 48: 123–130.

Islam, K.; Jashimuddin, M.; Nath, B. and Kumar, T. 2018. The Egyptian Journal of Remote Sensing and Space Sciences Land use classification and change detection by using multi-temporal remotely sensed imagery : The case of Chunati wildlife sanctuary. The Egyptian Journal of Remote Sensing and Space Sciences 21(1): 37–47.

Joshi, P. K.; Roy, P. S.; Singh, S., Agrawal, S. and Yadav, D. 2006. Vegetation cover mapping in India using multi-temporal IRS Wide Field Sensor (WiFS) data. Remote Sensing of Environment 103(2): 190-202.

Krishan, G.; Kushwaha, S. P. S. and Velmurugan, A. 2009. Land degradation mapping in the upper catchment of river Tons. Journal of the Indian Society of Remote Sensing 37(1): 119-128.

Lillesand, T.; Kiefer, R. W. and Chipman, J. 2014. Remote sensing and image interpretation. Sixth Edition. John Wiley and Sons, 111 River Street, Hoboken, NJ. 756 pages

Mathur, V. B. and Naithani, S. 1999. Development of a Spatial Database of the Great Himalayan National Park Conservation Area (GHNPCA) in GIS Domain. Wildlife Institute of India, Dehradun, India. 69 pages.

McGowan, P. J. and Garson, P. J. 1995. Status survey and conservation action plan. 1995-1999. Partridges, Quails Francolins, Snowcocks and Guineafowl. WPA/Birdlife/SSC Partridge, Quail and Francolin Specialist Group, IUCN. Gland, Suiza. 116 pages.

Miller, J. R. 2010. Survey of Western Tragopan, Koklass Pheasant, and Himalayan Monal populations in the Great Himalayan National Park, Himachal Pradesh, India. Indian Birds 6(3): 60-65.

Millette, T. L.; Tuladhar, A. R.; Kasperson, R. E. and Turner, BL. L. 1995. The use and limits of remote sensing for analysing environmental and social change in the Himalayan Middle Mountains of Nepal. Global Environmental Change 5(4): 367-380.

Mishra, P. K.; Rai, A. and Rai, S. C. 2020. Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India. The Egyptian Journal of Remote Sensing and Space Science 23(2): 133-143.

Motohka, T.; Nasahara, K. N.; Oguma, H. and Tsuchida, S. 2010. Applicability of green-red vegetation index for remote sensing of vegetation phenology. Remote Sensing 2(10): 2369-2387

Nandy, S.; Kushwaha, S. P. S. and Dadhwal, V. K. 2011. Forest degradation assessment in the upper catchment of the river Tons using remote sensing and GIS. Ecological Indicators 11(2): 509-513.

Nandy, S.; Kushwaha, S. P. S. and Mukhopadhyay, S. 2007. Monitoring the Chilla-Motichur wildlife corridor using geospatial tools. Journal for Nature Conservation 15(4): 237–244.

NRSA 1982. Satellite Remote Sensing surveys of resources of lower reaches of Arunachal Pradesh. A project report from National Remote Sensing Agency, Hyderabad.

NRSA 1985. Forest Cover Assessment of India Using Satellite Remote Sensing Data during 1972–1975 and 1980–1982 Periods. National Remote Sensing Agency Tech. Report.

Panigrahy, R.; Kale, M.; Dutta, U.; Mishra, A.; Banerjee, B. and Singh, S. 2010. Forest cover change detection of Western Ghats of Maharashtra using satellite remote sensing based visual interpretation technique. Current Science 98(5): 657-664.

Prasad, S. N. 1993b. A survey of the potential Western Tragopan habitat in the Tons Catchment of Uttar Pradesh, from and Aerospace: Remote Sensing Perspective. A report submitted in Salim Ali Centre for Ornithology and Natural History, Coimbatore, India. 11 pages.

Prasad, S.N. 1993a. On the occurrence of Western Tragopan and Satyr Tragopan together in Uttar Pradesh. Newsletter for Birdwatchers 33 (1): 1-6.

Ramesh, K. 2003. An ecological study on pheasants of The Great Himalayan National Park, Western Himalaya. Ph.D. Thesis, Wildlife Institute of India, Dehradun., Forest Research Institute, Deemed University, Dehradun, Uttarakhand, India. 79 pages.

Ramesh, K.; Sathyakumar, S. and Rawat, G. S. 1999. Ecology and conservation status of the pheasants of Great Himalayan National Park, Western Himalaya. Wildlife Institute of India, Dehradun. 69 pages.

Rawat, V. S. and Chandhok, A. 2009. Phytosociological analysis and distribution patterns of tree species: A case study from Govind Pashu Vihar, National Park, Uttarakhand. New York Science Journal 2(4): 58-63.

Ricchetti, E. 2000. Multispectral satellite image and ancillary data integration for geological classification. Photogrammetric Engineering and Remote Sensing 66(4): 429-437.

Richards, J.F. and Flint, E.P. 1994. Historic land use and carbon estimates for South and Southeast Asia 1880–1980. Technical Report. In: Daniel, R.C. (Editor). Carbon Dioxide Information Analysis Center [CDIAC], Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A., 326 pages.

Roy, P. S.; Kushwaha, S. P. S.; Murthy, M. S. R.; Roy, A.; Kushwaha, D.; Reddy, C. S.; Behera, M. D.; Mathur, V. B.; Padalia, H.; Saran, S. and Singh, S. 2012. Biodiversity Characterization at Landscape Level: National Assessment, Indian Institute of Remote Sensing, Dehradun, India, 140.

Roy, P.S.; Singh, S.; Dutt, C.B.S.; Tiwari, A.K. et al. 2002. Biodiversity Characterization at landscape level in Western Himalayas using satellite remote sensing and geographic information system: Department of Biotechnology and Department of Space, Indian Institute of Remote Sensing (NRSA), pp. 1-234

Saha, A. K.; Arora, M. K.; Csaplovics, E. and Gupta, R. P. 2005. Land cover classification using IRS LISS III image and DEM in a rugged terrain: a case study in Himalayas. Geocarto International 20(2): 33-40.

Sathyakumar, S. and Sivakumar, K. (eds.). 2007a. Galliformes of India. ENVIS Bulletin: Wildlife and Protected Areas 10 (1), Wildlife Institute of India, Dehradun, India. 252 pages.

Sathyakumar, S.; Kalsi, R. and Kaul, R. 2007b. Techniques for Monitoring Galliformes in India. ENVIS Bulletin: Wildlife and Protected Areas 10: 179-171.

Sharma, N.; Das, A. P. and Shrestha, D. G. 2015. Land use and landcover mapping of East District of Sikkim using IRSP6 Satellite Imagery. Pleione 9(1): 1-193.

Singh, S. 1999. Assessment of floral and habitat diversity and collection of base line data to monitor vegetation of GHNP conservation area. Indian Institute of Remote Sensing Dehradun, India. 38 pages.

Singh, S. and Singh, T.P. 2002a. Arunachal Pradesh (Eastern). In P.S. Roy: Biodiversity Characterization at Landscape level using satellite remote sensing and geographic information system in North Eastern India, Department of Biotechnology and Department of Space, IIRS, Dehra Dun: 52-67 pages

Singh, S.; Chandrashekhar, M; Singh, D.K. et al. 2002b. In P.S. Roy: Biodiversity Characterization at landscape level in Western Himalayas using satellite remote sensing and geographic information system: Department of Biotechnology and Department of Space, Indian Institute of Remote Sensing (NRSA): 70-86 pages

Singh, S.; Singh, T. and Srivastava, G. 2005. Vegetation cover type mapping in mouling national park in Arunachal Pradesh, Eastern Himalayas- an integrated geospatial approach. Journal of the Indian Society of Remote Sensing 33: 547-563.

Singh, T. P.; Singh, S. and Tiwari, S. C. 2013. Assessment of digital image classification algorithms for forest and land-use classification in the eastern Himalayas using the IRS LISS III sensor. International Journal of Remote Sensing 34(11): 4105-4126.

Singh, T. P.; Singh, S.; Roy, P. S. and Rao, B. S. P. 2002c. Vegetation mapping and characterization in West Siang District of Arunachal Pradesh, India–a satellite remote sensing-based approach. Current science 83(10): 1221-1230.

Thomson, A. G., and C. Jones. 1990. Effects of topography on radiance from upland vegetation in North Wales. International Journal of Remote Sensing 11: 829–840.

Tucker, C. J.; Vanpraet, C. L.; Sharman, M. J. and Van Ittersum, G. 1985. Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel: 1980–1984. Remote Sensing of Environment 17(3): 233-249.

Virdi, M. 2007. Translating global biodiversity values into local benefits: conservation initiatives of a village forest council in Kumaon Uttarakhand. Pages 171-175, In: Sathyakumar, S. and Sivakumar, K. (Editors.). 2007. Galliformes of India. ENVIS Bulletin: Wildlife and Protected Areas, vol. 10 (1). Wildlife Institute of India, Dehradun, India.

Yadav, P. K.; Kapoor, M. and Sarma, K. 2012. Land use land cover mapping, change detection and conflict analysis of Nagzira-Navegaon Corridor, Central India using geospatial technology. International Journal of Remote Sensing and GIS 1(2): 90–98.

Yarbrough, L. D.; Easson, G. and Kuszmaul, J. S. 2005. Using at-sensor radiance and reflectance tasseled cap transforms applied to change detection for the ASTER sensor. Aster 2: 141-145.

Yuan, F.; Sawaya, K. E.; Loeffelholz, B. C. and Bauer, M. E. 2005. Land cover classification and change analysis of the Twin Cities (Minnesota) metropolitan area by multitemporal Landsat remote sensing. Remote Sensing of Environment 98(2–3): 317–328.


Full Text: PDF

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

COPYRIGHT of this Journal vests fully with the National Instional Institute of Ecology. Any commercial use of the content on this site in any form is legally prohibited.