Skip to main content

Advertisement

Log in

Analysing land and vegetation cover dynamics during last three decades in Katerniaghat wildlife sanctuary, India

  • Published:
Journal of Earth System Science Aims and scope Submit manuscript

Abstract

The change in the tropical forests could be clearly linked to the expansion of the human population and economies. An understanding of the anthropogenic forcing plays an important role in analyzing the impacts of climate change and the fate of tropical forests in the present and future scenario. In the present study, we analyze the impact of natural and anthropogenic factors in forest dynamics in Katerniaghat wildlife sanctuary situated along the Indo-Nepal border in Uttar Pradesh state, India. The study site is under tremendous pressure due to anthropogenic factors from surrounding areas since last three decades. The vegetation cover of the sanctuary primarily comprised of Shorea robusta forests, Tectona grandis plantation, and mixed deciduous forest; while the land cover comprised of agriculture, barren land, and water bodies. The classification accuracy was 83.5%, 91.5%, and 95.2% with MSS, IKONOS, and Quickbird datasets, respectively. Shorea robusta forests showed an increase of 16 km2; while Tectona grandis increased by 63.01 km2 during 1975–2010. The spatial heterogeneity in these tropical vegetation classes surrounded by the human dominated agricultural lands could not be addressed using Landsat MSS data due to coarse spatial resolution; whereas the IKONOS and Quickbird satellite datasets proved to advantageous, thus being able to precisely address the variations within the vegetation classes as well as in the land cover classes and along the edge areas. Massive deforestation during 1970s along the adjoining international boundary with Nepal has led to destruction of the wildlife corridor and has exposed the wildlife sanctuary to human interference like grazing and poaching. Higher rates of forest dynamics during the 25-year period indicate the vulnerability of the ecosystem to the natural and anthropogenic disturbances in the proximity of the sanctuary.

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.

Figure 1
Figure 2
Figure 3
Figure 4

Similar content being viewed by others

References

  • Anonymous 2005 Management Plan of the Katerniaghat Wildlife Sanctuary 2005–2015; Uttar Pradesh Forest Department, Lucknow.

    Google Scholar 

  • Asian News International, August 25, 2009.

  • Asthana B N and Bhargava A N 1981 Dominant discharge for alluvial rivers; Irr. Power J. 38 65–68.

    Google Scholar 

  • Attiwill P M 1994 The disturbance of forest ecosystems: The ecological basis for conservative management; Forest Ecol. Manag. 63 (2–3) 247–500.

    Article  Google Scholar 

  • Cannon C H, Peart D R, Leighton M, and Kartawinata K 1994 The structure of lowland rainforest after selective logging in West Kalimantan, Indonesia; Forest Ecol. Manag. 67 49–68.

    Article  Google Scholar 

  • Champion H G and Seth S K 1968 Revised survey of forest types of India; Manager of Publications; Government of India, Delhi.

    Google Scholar 

  • Chitale V S, Tripathi P, Behera M D, Behera S K, and Tuli R 2012 On the relationships among diversity, productivity and climate from an Indian tropical ecosystem: A preliminary investigation; Biodivers. Conserv. 21 1177–1197.

    Article  Google Scholar 

  • Clark D B 1992 The role of disturbance in the regeneration of neotropical moist forests; In: Reproductive Ecology of Tropical Forest Plants (eds) Bawa K S and Hadley M, UNESCO-Parthenon, New York, Man and the Biosphere Series 7 291–315.

    Google Scholar 

  • DeFries R, Hansen A J, Newton A C, and Hansen M C 2005 Increasing isolation of protected areas in tropical forests over the past twenty years; Ecol. Appl. 15 19–26.

    Article  Google Scholar 

  • Dirzo R and Raven P H 2003 Global state of biodiversity and loss; Ann. Rev. Environ. Resour. 28 137–167.

    Article  Google Scholar 

  • Dormann C F 2007 Effects of incorporating spatial autocorrelation into the analysis of species distribution data; Global Eco. Biogeogr. 16 129–138.

    Article  Google Scholar 

  • Ewel J, Berish C, Brown B, Price N and Raich J 1981 Slash-and-burn impacts on a Costa Rican wet forest site; Ecology 62 816–829.

    Article  Google Scholar 

  • Foody G M and Cutler M E J 2003 Tree biodiversity in protected and logged Bornean tropical rain forests and its measurement by satellite remote sensing; J. Biogeogr. 30 1053–1066.

    Article  Google Scholar 

  • Gupta O P and Shukla R P 1991 The composition and dynamics of associated plant communities of sal plantations; Tropical Ecol. 32 296–309.

    Google Scholar 

  • Hernández-Stefanoni J L and Dupny J M 2007 Mapping species density of trees, shrubs and vines in a tropical forest, using field measurements, satellite multispectral imagery and spatial interpolation; Biodivers. Conserv. 16 3817–3833.

    Article  Google Scholar 

  • Horn R and Hickey J 1991 Ecological sensitivity of Australian rainforests to selective logging; Aust. J. Ecol. 16 119–129.

    Article  Google Scholar 

  • Jain V and Sinha R 2003 Geomorphic manifestation of the flood hazard: A remote sensing based approach; Geocarto Int. 184 51–60.

    Article  Google Scholar 

  • Johnsingh A J T, Ramesh K, Qureshi Q, David A, Goyal S P, Rawat G S, Rajapandian K and Prasad S 2004 Conservation status of tiger and associated species in the Terai Arc Landscape, India, RR-04/001, Wildlife Institute of India, Dehradun, pp. viii + 110.

  • Kale V S 1998 Monsoon floods in India: A hydro-geomorphic perspective; In: Flood Studies in India (ed.) Kale V S, Geol. Soc. India Memoir 41 229–256.

  • Kappelle M, Geuze T, Leal M E and Cleef A M 1996 Successional age and forest structure in a Costa Rican upper montane Quercus forest; J. Trop. Ecol. 12 681– 698.

    Article  Google Scholar 

  • Kumari A and Tripathi K P 2007 Phytosociological studies of the pteridophytes in Terai forest of North India; Ind. J. Forestry 30 445–450.

    Google Scholar 

  • Legendre P 1993 Spatial autocorrelation: Trouble or new paradigm? Ecology 74 1659–1673.

    Article  Google Scholar 

  • Loarie S R, Joppa L N and Pimm S L 2007 Satellites miss environmental priorities; Trends Ecol. Evol. 22 630– 632.

    Article  Google Scholar 

  • Maliya S D 2007 Rare species of Katerniaghat Wild Life Sanctuary, District Bahraich, Uttar Pradesh, India; The Indian Forester 133 1052–1056.

    Google Scholar 

  • Maliya S D and Singh K K 2003 Some new or less known folk medicines of Bahraich district, Uttar Pradesh; Ethnobotany 15 132–135.

    Google Scholar 

  • Notification 18th May, 2010, Ministry of Environment and Forests, Government of India; http://moef.nic.in/downloads/public-information/Dolphins_press_n.pdf.

  • Nagendra H and Gadgil M 1999 Biodiversity assessment at multiple scales: Linking remotely sensed data with field information; Proc. Natl. Acad. Sci. USA 96 9154–9158.

    Article  Google Scholar 

  • News paper The Hindu, Thursday, August 31, 2006, Uttar Pradesh.

  • Palmer M W, Earls P, Hoagland B W, White P S and Wohlgemuth T 2002 Quantitative tools for perfecting species lists; Environmetrics 13 121–137.

    Article  Google Scholar 

  • Pandey S K 2000 Population status and regeneration strategy of some perennial legumes in plantation forests of north-eastern Uttar Pradesh; Ph.D. Thesis, DDU Gorakhpur University, Gorakhpur, India.

  • Pandey S K and Shukla R P 1999 Plant diversity and community patterns along the disturbance gradient in plantation forests of sal Shorea robusta Gaertn. f; Curr. Sci. 77 814–818.

    Google Scholar 

  • Pandey S K and Shukla R P 2001 Regeneration strategy and plant diversity status in degraded sal forests; Curr. Sci. 81 95–102.

    Google Scholar 

  • Panigrahi G, Singh A N and Misra O P 1969 Contribution to the Botany of the Terai Forest of the Bahraich District of Uttar Pradesh; Bull. Bot. Surv. India 11 89–114.

    Google Scholar 

  • Pavuluri M K, Ramanathan S and Daniel Z 2002 A rule-based classifier using classification and regression tree CART approach for urban landscape dynamics; Int. Geosci. Remote Sens. Symp. 2 24–28.

    Google Scholar 

  • Pickett S T A and White P S 1985 The Ecology of Natural Disturbance and Patch Dynamics; Academic Press, New York.

    Google Scholar 

  • Read J M, Clark D B, Venticinque E M and Moreira M P 2003 Application of 1-m and 4-m resolution satellite data to research and management in tropical forests; J. Appl. Ecol. 40 592–600.

    Article  Google Scholar 

  • Reuters India, September 23, 2008.

  • Richardson W R and Thorne C R 2001 Multiple thread flow and channel bifurcation in a braided river: Brahmaputra–Jamuna River, Bangladesh; Geomorphology 38 185–196.

    Article  Google Scholar 

  • Rocchini D, Chiarucci A and Loiselle S A 2004 Testing the spectral variation hypothesis by using satellite multispectral images; Acta Oecologica. 26 117–120.

    Article  Google Scholar 

  • Rodgers W A and Sawarkar V B 1988 Vegetation management in wildlife protected areas in India; Aspects Appl. Biol. 16 407–422.

    Google Scholar 

  • Sanchez-Azofeifa G A, Castro K L, Rivard B, Kalascka M R and Harriss R C 2003 Remote sensing research priorities in tropical dry forest environments; Biotropica 35 134–142.

    Google Scholar 

  • Scherer G, Zabowski D, Java B and Everett R 2000 Timber harvesting residue treatment. Part II. Understory vegetation response; Forest Ecol. Manag. 126 35–50.

    Article  Google Scholar 

  • Shankar U 2001 A case of high tree diversity in a sal Shorea robusta-dominated lowland forest of Eastern Himalaya: Floristic composition, regeneration and conservation; Curr. Sci. 81 776–786.

    Google Scholar 

  • Sheil D 1999 Tropical forest diversity, environmental change and species augmentation: After the intermediate disturbance hypothesis; J. Vegetation Sci. 10 851–860.

    Article  Google Scholar 

  • Simard M, Saatchi S and De Grandi F 2000 The use of decision tree and multiscale texture for classification of JERS-1 SAR data over tropical forest; IEEE Trans. Geosci. Remote Sens. 38 2310–2321.

    Article  Google Scholar 

  • Singh A, Reddy V S and Singh J S 1995 Analysis of woody vegetation of Corbett National Park, India; Vegetatio 120 69–79.

    Google Scholar 

  • Sinha R and Friend P F 1994 River systems and their sediment flux, Indo-Gangetic plains, northern Bihar, India; Sedimentology 41 825–845.

    Article  Google Scholar 

  • Small C 2004 The Landsat ETM+ spectral mixing space; Remote Sens. Environ. 93 1–17.

    Article  Google Scholar 

  • Smiet A C 1992 Forest ecology on Java: Human impact and vegetation on montane forest; J. Trop. Ecol. 8 129–152.

    Article  Google Scholar 

  • Times of India, September 22, 2010.

  • Tripathi K P 2001 Ecology of a Rehabilitated Forest on Sodic Wasteland; Ph.D. Thesis, Lucknow University, Lucknow.

    Google Scholar 

  • Tripathi K P and Singh B 2005 The role of revegetation for rehabilitation of sodic soils in semiarid subtropical forest, India; Restoration Ecol. 13 29–38.

    Article  Google Scholar 

  • Tripathi K P and Singh B 2009 Species diversity and vegetation structure across various strata in natural and plantation forests in Katerniaghat Wildlife Sanctuary; Tropical Ecol. 501 191–200.

    Google Scholar 

  • Turner W, Spector S, Gardiner N, Fladeland M, Sterling E and Steininger M 2003 Remote sensing for biodiversity science and conservation; Trends Ecol. Evol. 18 306–314.

    Article  Google Scholar 

  • Veblen T 1978 Forest preservation in the highlands of Guatemala; Geogr. Rev. 68 417–434.

    Article  Google Scholar 

  • Wagner H H 2003 Spatial covariance in plant communities: Integrating ordination, geostatistics, and variance testing; Ecology 84 1045–1057.

    Article  Google Scholar 

  • Wright S J 2005 Tropical forests in a changing environment; Trends Ecol. Evol. 20 553–560.

    Article  Google Scholar 

  • Wulder M A, Franklin S E, White J, Cranny M and Dechka J 2004 Inclusion of topographic attributes in an unsupervised classification of satellite imagery; Canadian J. Remote Sens. 30 137–149.

    Article  Google Scholar 

Download references

Acknowledgements

The present study is carried out under the CSIR network project in collaboration with NBRI, Lucknow. The authors are thankful to the financial support provided by CSIR, Dr C S Nautiyal, Director, NBRI and S K Behera, Scientist, NBRI for their kind support and encouragement. The Landsat MSS satellite datasets downloaded from USGS are thankfully acknowledged. They are thankful to ICIMOD, Nepal for the facilities provided during the final phase of the manuscript. The authors are also thankful to two anonymous reviewers for their valuable comments on the earlier version of the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V S Chitale.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chitale, V.S., Behera, M.D. Analysing land and vegetation cover dynamics during last three decades in Katerniaghat wildlife sanctuary, India. J Earth Syst Sci 123, 1467–1479 (2014). https://doi.org/10.1007/s12040-014-0496-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12040-014-0496-y

Keywords

Navigation