Evaluation of suitable tiger habitat in Chandoli National Park, India, using spatial modelling of environmental variables

Abstract Application of remote sensing and Geographic Information System (GIS) as a tool has assumed an immense significance in habitat suitability modelling for various wildlife species and now a days these are widely used in conservation biology and wildlife management. This paper evaluates habitat suitability for tigers ( Panthera tigris tigris ) in Chandoli National Park, India. This research provides information about potential areas that can be declared as Tiger Reserve, a federal designation of protection. Habitat evaluation was completed in the Chandoli National Park (17° 04′ 00″ N to 17° 19′ 54″ N and 73° 40′ 43″ E to 73° 53′ 09″ E) using habitat suitability index (HSI). Remotely sensed data of satellite IRS-P6, LISS-III of 25th February 2005 was procured from National Remote Sensing Agency, India. The satellite imagery data was digitally processed and collateral data were generated from topographic maps in a GIS framework. Various layers of different variables such as landuse land cover, forest density, measures of proximity to disturbances and water resources and a digital terrain model were created based on ground truthing. These layers, GPS location of animal's presence and “binomial multiple logistic regression (BMLR)” techniques were integrated in a GIS environment for the HSI modelling. Results indicate that approximately 160.48 km 2 (55%) of the forest of Chandoli National Park is highly suitable for herbivores population, and 176.52 km 2 (50%) of the Park is suitable for tigers. Therefore, this study concludes that forest areas within the Chandoli National Park are appropriate for consideration as Tiger Reserve. Furthermore, the identification and mapping of wildlife corridors and other forest patches lying in between neighboring protected area like Koyana sanctuary, suggests that these region of Sahyadri range of Western Ghats should be included into the proposed Tiger Reserve. This will be a benefit for tigers, as tigers require larger and least disturbed forest habitats for establishing and maintaining their high-density population. Fortunately, in May 2008 the Government of India declared Chandoli NP as tiger reserve. Thus declaration of Chandoli National Park as a Tiger Reserve reflects that the habitat suitability model developed by us for tiger was not only statistically sound but also has potential to be considered while taking any decision regarding wildlife habitat management.

[1]  K. Bollmann,et al.  Living on the edge - modelling habitat suitability for species at the edge of their fundamental niche , 2008 .

[2]  A. Johnsingh.  LARGE MAMMALIAN PREY AND PREDATORS IN BANDIPUR INDIA , 1983 .

[3]  Angela Lee,et al.  Perspectives on … Environmental Systems Research Institute, Inc , 1997 .

[4]  P. J. Clark,et al.  Distance to Nearest Neighbor as a Measure of Spatial Relationships in Populations , 1954 .

[5]  Simon Ferrier,et al.  Evaluating the predictive performance of habitat models developed using logistic regression , 2000 .

[6]  A. Jain,et al.  HABITAT SUITABILITY ANALYSIS OF NEMORHAEDUS GORAL : A REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM APPROACH , 1995 .

[7]  Boris Schröder,et al.  Are habitat models transferable in space and time , 2000 .

[8]  N. Nie.  SPSS-X User's Guide , 1983 .

[9]  Thorsten Wiegand,et al.  Assessing the suitability of central European landscapes for the reintroduction of Eurasian lynx , 2002 .

[10]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[11]  Antoine Guisan,et al.  Predictive habitat distribution models in ecology , 2000 .

[12]  John Bell,et al.  A review of methods for the assessment of prediction errors in conservation presence/absence models , 1997, Environmental Conservation.

[13]  Frank W. Davis,et al.  An information systems approach to the preservation of biological diversity , 1990, Int. J. Geogr. Inf. Sci..

[14]  Aditya Singh,et al.  Habitat suitability assessment for the endangered Nilgiri Laughingthrush: A multiple logistic regression approach , 2008 .

[15]  R. Hobbs,et al.  Biological Consequences of Ecosystem Fragmentation: A Review , 1991 .

[16]  G. D. Kelly,et al.  Habitat mapping by landsat for aerial census of kangaroos , 1987 .

[17]  P. Roy,et al.  Wildlife habitat analysis for ‘sambar’ (Cervus unicolor) in Kanha National Park using remote sensing , 1996 .

[18]  Kamaljit S. Bawa,et al.  Applications of Geographic Information Systems, Remote-Sensing, and a Landscape Ecology Approach to Biodiversity Conservation in the Western Ghats , 1997 .

[19]  K. Norris,et al.  Habitat correlates of distribution and local population decline of the endemic Sardinian newt Euproctus platycephalus , 2004 .

[20]  Dr Robert Bryant,et al.  Modelling landscape-scale habitat use using GIS and remote sensing : a case study with great bustards , 2001 .

[21]  Aditya Singh,et al.  Evaluation of sambar and muntjak habitats using geostatistical modelling , 2004 .

[22]  J. G. Lyon.  Landsat-derived land-cover classifications for locating potential Kestrel nesting habitat , 1983 .

[23]  S. G. Champion,et al.  A revised survey of the forest types of India. , 1968 .