TYPE: Short Communication

Building the baseline: Assessment of ungulate densities in Amangarh Tiger Reserve, Uttar Pradesh, India

Sajid Reza¹*, Vijay Pratap Singh¹, Meraj Anwar², Afifullah Khan³

¹Wildlife Institute of India, Chandrabani, Dehradun-248001, Uttarakhand, India.
²WWF-India, 172-B, Lodi Estate, New Delhi 110003, India.
³Department of Wildlife Sciences, Aligarh Muslim University, Aligarh 202002, India.

RECEIVED 31 August 2024
ACCEPTED 13 November 2024
ONLINE EARLY 14 November 2024

https://doi.org/10.63033/JWLS.CBKR6481

Abstract

We estimated density of ungulate species in the Amangarh Tiger Reserve using line transect distance sampling. Twelve transects were marked and monitored between February and April 2021 resulting in an effort of 108 km. A total of 210 sightings of five species of ungulates were recorded. Spotted deer (Axis axis) was the most frequently recorded species with 80 sightings followed by wild boar (Sus scrofa), sambar (Rusa unicolor), nilgai (Boselaphus tragocamelus) and barking deer (Muntiacus muntjak). The overall density estimate of all five ungulate species was 62.7 (±11 SE) km-2. Spotted deer was the most abundant ungulate (22.95 ±6.5 km-2) followed by sambar (14.26 ±4.2 km-2), wild boar (13.21 ±4.8 km-2) and nilgai (10.56 ±5.06 km-2). This study provides the first comprehensive assessment of ungulate densities in Amangarh Tiger Reserve. The findings establish baseline information for future monitoring and research studies in the area which is an important buffer to Corbett Tiger Reserve and has seen an increase in tiger numbers over the years.
 

Keywords: Carnivore prey-base, Corbett Tiger Reserve, Distance sampling, Terai Arc Landscape, Van Gujjar.

Introduction

The Terai Arc Landscape (TAL), at the foothills of the Himalayas in northern India, boasts approximately 14% of the global tiger population (Qureshi et al., 2023).  Amangarh Tiger Reserve (TR) in the western TAL provides a buffer to the dispersing  tiger individuals of Corbett TR and harbours a significant breeding population of tigers (Qureshi et al., 2023). Tigers rely on large home ranges, undisturbed habitats and abundant large wild ungulates to flourish (Karanth et al., 1999, Sunquist et al., 1981). The proposed Kandi road, connecting Kotdwar to Ramnagar towns of Uttarakhand at the inter-state border of Uttar Pradesh and Uttarakhand and running east to west along Corbett TR, cuts through the tiger connectivity between Corbett TR and Amangarh TR (DownToEarth 2024). This proposed road, may isolate the tiger population of Amangarh TR, increasing its vulnerability to local extinction caused by demographic and environmental stochasticity (Caughley 2002, Purvis et al., 2000). Further, the depletion of prey base abundance may threaten the tiger population and become a significant constraint on their recovery (Karanth & Stith, 1999, Wikramanayake et al., 2002, Harihar et al., 2009). Understanding population parameters of prey species such as density, group size and social organisation, which are inherently linked to ecosystem effectiveness, is crucial for conservation-related decisions (Jathanna et al., 2003, Witmers 2005, Skalski et al., 2010). Various techniques have been used to assess such population parameters for the prey base (Dinerstein 1980, Karanth et al.,1992) and distance sampling is a robust statistical method to estimate the density and abundance of the prey base. This method also accounts for missed animals during the surveys by estimating detection probability using effective strip width (Buckland et al., 2015). We applied this method to generate baseline information on wild prey base for long-term conservation of tigers in Amangarh TR.

This study focuses on ungulates, a critical food source for large carnivores. They constitute a significant portion of the prey consumed by carnivore populations across numerous protected areas in India (Schaller, 1967; Johnsingh, 1983; Karanth & Sunquist, 1995; Biswas & Sankar, 2002). It is also important to understand the ecosystem services that ungulates are providing to the habitats upon which they survive. Therefore, monitoring wild prey base becomes an essential part of the conservation and management of large carnivores.

Study Area

Amangarh TR (95 km²) is situated in the Himalayan foothills in the Bijnor district of Uttar Pradesh and forms the southern boundary of Corbett Tiger Reserve. The forested area of the TR (80.6 km²) was sampled (Fig. 1). Before the formation of Uttarakhand state in 2000, Amangarh was buffer area of the Corbett TR. Amangarh TR has a tiger density of 9.34 (±1.96 SE) /100 km-2 (Qureshi et al., 2023). Tigers use Corbett and Amangarh as a continuous habitat and move towards Terai West Forest Division and eventually to Ramnagar Forest Division (Bisht et al., 2019; Qureshi et al., 2023). The broad forest type is deciduous with sal and teak dominated forest and a generally flat terrain (altitude varies from 240 m to 270 m above sea level). Amangarh TR consist of sal , sal-mixed, plantation, scrubland and riverine vegetation types across its 9 beats. Amangarh TR is also one of the strongholds of Van Gujjar (a forest-dwelling nomadic tribe) population. They live inside the forest in traditional huts (also known as Deras) alongside their livestock and rely on the forest for grazing and lopping trees to sustain their herd. Hussain et al. (2012) reported 73 Van Gujjar families (557 individuals) inhabiting the area with 1690 units of livestock.

Amangarh Tiger Reserve

Figure 1: The location of Amangarh Tiger Reserve in Uttar Pradesh,
various land use land cover classses (acquired from living atlas of ESRI) and distribution of transects.

Methodology

Line transect based distance sampling (Eberhardt, 1978; Burnham et al., 1980; Buckland et al., 1993, 2001) was used to estimate the abundance of ungulates. In distance sampling, estimates are based on observed distances of animals from a line or point to model species detectability and estimate absolute density (Buckland et al. 1993). With a well-described theoretical framework and comprehensive software, distance sampling has become a widely used technique across a broad spectrum of species and is often used for large-scale monitoring of species that can be visually detected in reasonable numbers (Kumar 2000; Focardi et al. 2005). A total of 12 transects were marked in all the 9 beats of Amangarh TR. The transect length varied from 1-2 km. Transects were distributed randomly representing different vegetation types with respect to animal distribution in the study area (Fig. 1). Each transect was walked 6 times as temporal replicates. Transects were walked twice a day- early morning (06:00-07:00 hrs) and evening (16:00-17:00 hrs), when ungulates remain most active. Data on species sighted, the number of individuals and group composition were recorded. The angular distance was recorded using a handheld compass and a range finder. The start and end points of all the transects were also recorded using Global Positioning System (GPS) eTrex 30 for marking locations of transects on a map. We used Distance 7.5 release 1 software (Thomas et al., 2010) to estimate density and associated variance. Bins width was adjusted according to the collected data and best-fit model was selected based on the lowest AIC (Akaike Information Criterion) value (Fig. 2).

All ungulates

Spotted deer
 
Wild boar
 
Sambar
 
Nilgai
 
Figure 2 (a-e): Detection probability  of best fit model for ungulates in Amangarh Tiger Reserve, February – April, 2021
 
Results and Discussion
 
An effort of 108 km resulted in 210 groups (469 individuals) of 5 species of wild ungulates being detected. Spotted deer (Axis axis) was the most frequently recorded species with 80 groups (193 individuals) followed by wild boar (Sus scrofa) with 42 groups  (74 individuals), sambar (Rusa unicolor) with 41 groups (75 individuals), nilgai (Boselaphus tragocamelus) with 38 groups (118 individuals) and barking deer (Muntiacus muntjak) with 9 groups (9 individuals) (Table 1). The encounter rate (groups/km) of all ungulates was 1.94 with 17.25 % CV. Spotted deer had the highest encounter rate (0.74, CV 22.54 %) followed by wild boar (0.38, CV 33.98 %), sambar (0.37, CV 25.94 %), nilgai (0.35, CV 44.63 %) and barking deer (0.1) (Table 1). Due to insufficient data individual density of barking deer was not estimated.
 
The overall density of ungulates (including barking deer) was estimated as 62.7 (±11 SE) individuals km-2 (Table 1). The density of spotted deer was highest (22.95 ±6.5 km-2) followed by sambar (14.26 ±4.2 km-2), wild boar (13.21 ±4.8 km-2) and nilgai (10.56 ±5.06 km-2). The observed ungulate densities indicate a viable prey base for large carnivores in Amangarh TR. This density is nearly double the previously reported average density for the western TAL. The average density of wild ungulates in the western TAL region was estimated at approximately 35.16 ± 5.67 individuals km-2, and it was deemed sufficient to support tiger populations and other large predators within these ecosystems (Harihar et al., 2014). It underscores the significance of Amangarh TR’s prey availability in supporting large carnivores. Such a high ungulate density could provide substantial sustenance for resident tiger populations and potentially enhance predator-prey dynamics in the region. However, TAL’s protected areas are distributed as isolated patches interspersed with multiple-use forests, agricultural zones, and human settlements, creating a fragmented landscape that poses challenges to wildlife movement and survival (Ahmad et al., 2018).
 
Additionally, the presence of Van Gujjar (a forest-dwelling nomadic tribe) and encroachment may further impact ungulate densities in Amangarh TR. According to a report submitted to Uttarakhand forest department in 2013, the Amangarh TR has the highest number of Van Gujjar households in the region (Hussain et. al., 2013). The Van Gujjar traditionally depend on grazing livestock for their livelihood, which can lead to increased competition with native ungulates for resources. Amangarh TR, being a relatively new tiger reserve, is likely developing its management strategies, which could potentially increase its ungulate density over time. Therefore, the findings from our study contribute crucial baseline data, serving as an important reference point for wildlife managers and conservationists aiming to formulate future management strategies. The high prey density suggests a strong ecological foundation that could facilitate predator conservation efforts in Amangarh TR. Additionally, our results advocate for a continued long-term monitoring to understand population trends, prey-predator interactions, and habitat requirements, ensuring informed decisions.
 
Table 2: Density estimates of all ungulates (spotted deer, sambar, barking deer, wild boar, nilgai) and spotted deer, sambar, wild boar, nilgai Amangarh Tiger Reserve during February and April 2021.
 
Amangarh Tiger Reserve
 
Acknowledgements
 
The authors wish to express their sincere gratitude to the Divisional Forest Officer of the Bijnor Social Forestry Division for granting permission to conduct this study. We also extend our heartfelt thanks to the Range Officer and Staff of Amangarh Tiger Reserve for their invaluable assistance and support throughout the research. Additionally, we appreciate the technical support and assistance in data collection provided by the WWF Haldwani team. Their contributions were crucial to the success of this study.
 
CONFLICT OF INTEREST
The authors have no competing interests to declare that are relevant to the content of this article.
 
DATA AVAILABILITY
Data available from the corresponding author on request.
 
AUTHOR CONTRIBUTIONS
AK, MA and SR conceived the study.
SR and VPS carried out the fieldwork and data analysis.
SR wrote the first draft of the paper.
All the authors revised the initial draft and approved the final draft for submission.
JWLS NOV 2024 Cover

November 2024

Edited By
Advait Edgaonkar
Indian Institute of Forest Management, Bhopal, Madhya Pradesh.

*CORRESPONDENCE
Sajid Reza
thesajidreza@gmail.com

CITATION
Reza, S., Singh, V. P., Anwar, M., Khan, A. (2024). Building the Baseline: Assessment of Ungulate Densities in Amangarh Tiger Reserve. Journal of Wildlife Science, 1 (3), 131- 134.

FUNDING
This study was funded by WWF-India.

COPYRIGHT
© 2024 Reza, Singh, Anwar, Khan. This is an open-access article, immediately and freely available to read, download, and share. The information contained in this article is distributed under the terms of the Creative Commons Attribution License (CC BY), allowing for unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited in accordance with accepted academic practice. Copyright is retained by the author(s).

PUBLISHED BY
Wildlife Institute of India, Dehradun, 248001 INDIA

PUBLISHER'S NOTE
The Publisher, Journal of Wildlife Science or Editors cannot be held responsible for any errors or consequences arising from the use of the information contained in this article. All claims expressed in this article are solely those of the author(s) and do not necessarily represent those of their affiliated organisations or those of the publisher, the editors and the reviewers. Any product that may be evaluated or used in this article or claim made by its manufacturer is not guaranteed or endorsed by the publisher.

Ahmed, T., Bargali, H. S., Verma, N., & Khan, A. (2018). Status of Wildlife Habitats in Ramnagar Forest Division, Terai-Arc Landscape, Uttarakhand, India. Geoscience Research, 3(1), 1-8.
 
Bisht, S., Banerjee, S., Qureshi, Q., & Jhala, Y. (2019). Demography of a high-density tiger population and its implications for tiger recovery. Journal of Applied Ecology, 56(7), 1725-1740.
 
Biswas, S. & Sankar, K., (2002). Prey abundance and food habit of tigers (Panthera tigris tigris) in Pench National Park, Madhya Pradesh, India. Journal of Zoology, 256, 411–420.
 
Buckland, S.T., Anderson, D.R., Burnham, K.P. & Laake, J.L. (2001). Introduction to Distance Sampling: Estimating Abundance of Biological Populations. Oxford University Press, Oxford, UK.
 
Buckland, S.T., Anderson, D.R., Burnham, K.P. & Laake, J.L. (1993). Distance Sampling: Estimating Abundance of Biological Populations. Chapman and Hall, New York, USA.
 
Buckland, S. T., Rexstad, E. A., Marques, T. A., & Oedekoven, C. S.(2015). Distance sampling: methods and applications (Vol. 431). New York: Springer.
 
Burnham, K.P., Anderson, D.J. & Laake, J.L., (1980). Estimation of Density from Line Transect Sampling of Biological Populations. Wildlife Monograph. The Wildlife Society, Bethesda, USA.
 
Caughley, G. (1994). Directions in conservation biology. Journal of animal ecology, 215-244.
 
Dinerstein, E. (1980). An ecological survey of the Royal Karnali-Bardia Wildlife Reserve, Nepal: part III: ungulate populations. Biological Conservation, 18(1), 5-37.
 
Eberhardt, L.L. (1978). Transect methods for population studies. Journal of Wildlife Management, 42, 1–31.
 
Focardi, S., Montanaro, P., Isotti, R., Ronchi, F., Scacco, M., & Calmanti, R. (2005). Distance sampling effectively monitored a declining population of Italian roe deer Capreolus capreolus italicus. Oryx, 39(4), 421-428.
 
Harihar, A., Pandav, B., & Goyal, S. P. (2009). Responses of tiger (Panthera tigris) and their prey to removal of anthropogenic influences in Rajaji National Park, India. European Journal of Wildlife Research, 55(2), 97-105.
 
Harihar, A., Pandav, B., & MacMillan, D. C. (2014). Identifying realistic recovery targets and conservation actions for tigers in a human-dominated landscape using spatially explicit densities of wild prey and their determinants. Diversity and Distributions, 20(5), 567-578.
 
Hussain, A., Bargali, H. S., Dasgupta, S., & Gore, K. (2012). Demography, perception and impact of traditional pastoralists (Van Gujjars) on biotic resources of Corbett Tiger Reserve and the adjoining forest divisions. HNB Garhwal University (A Central University) Srinagar, Garhwal and The Corbett Foundation, Ramnagar, Uttarakhand. Report submitted to Uttarakhand State Forest department.
Jathanna, D., Karanth, K.U. & Johnsingh, A.J.T. (2003). Estimation of large herbivore densities in the tropical forests of southern India using distance sampling. Journal of Zoology, 261, 285–290.
 
Johnsingh, A.J.T., (1983). Large mammalian prey-predators in Bandipur. Journal of the Bombay Natural History Society, 80, 1–57.
Karanth, K.U. & Stith, B.M., (1999). Prey depletion as a critical determinant of tiger densities. In Riding the Tiger: Tiger Conservation in Human-dominated Landscapes (eds J. Seidensticker, S. Christie & P. Jackson), Cambridge University Press, Cambridge, UK, pp. 100–113.
 
Karanth, K.U. & Sunquist, M.E., (1992). Population structure, density and biomass of large herbivores in the tropical forests of Nagarhole, India. Journal of Tropical Ecology, 8, 21–35.
 
Karanth, K.U. & Sunquist, M.E., (1995). Prey selection by tiger, leopard and dhole in tropical forests. Journal of Animal Ecology, 64, 439–450.
 
Kumar, N. S. (2000). Ungulate density and biomass in the tropical semi-arid forest of Ranthambore, India (Doctoral dissertation, Pondicherry University).
 
Purvis, A., Gittleman, J. L., Cowlishaw, G., & Mace, G. M. (2000). Predicting extinction risk in declining species. Proceedings of the royal society of London. Series B: Biological Sciences, 267(1456), 1947-1952.
 
Qureshi, Q., Jhala, Y. V., Yadav, S. P., & Mallick, A. (2023). Status of tigers, co-predators and prey in India, 2022. National Tiger Conservation Authority, Government of India, New Delhi, and Wildlife Institute of India, Dehradun.
Road maze. (2024). https://www.downtoearth.org.in/environ-ment/road--maze-10465 (accessed 03 November 2024).
 
Schaller, G.B. (1967). The Deer and the Tiger. University of Chicago Press, Chicago, USA.
 
Skalski, J. R., Ryding, K. E., & Millspaugh, J. (2010). Wildlife demography: analysis of sex, age, and count data. Elsevier.
Sunquist, M.E., (1981). The social organization of tigers (Panthera tigris) in Royal Chitwan National Park, Nepal. Smithsonian Contributions to Zoology, 336, 1–98.
 
Thomas, L., Buckland, S.T., Rexstad, E.A., Laake, J.L., Strindberg, S., Hedley, S.L., Bishop, J.R., Marques, T.A. and Burnham, K.P. (2010). Distance software: design and analysis of distance sampling surveys for estimating population size. Journal of Applied Ecology, 47, 5–14.
`
Wikramanayake, E., Dinerstein, E., Seidensticker, J., Lumpkin, S., Pandav, B., Shrestha, M., Mishra, H., Ballou, J., Johnsingh, A.J.T., Chestin, I., Sunarto, S., Thinley, P., Thapa, K., Jiang, G., Elagupillay, S., Kafley, H., Pradhan, N.M.B., Jigme, K., Teak, S., Cutter, P., Aziz, M.A. & Than, U. (2011). A landscape-based conservation strategy to double the wild tiger population. Conservation Letters, 4, 219–227.
 
Witmer, G. W. (2005). Wildlife population monitoring: some practical considerations. Wildlife Research, 32(3), 259-263.

Edited By
Advait Edgaonkar
Indian Institute of Forest Management, Bhopal, Madhya Pradesh.

*CORRESPONDENCE
Sajid Reza
thesajidreza@gmail.com

CITATION
Reza, S., Singh, V. P., Anwar, M., Khan, A. (2024). Building the Baseline: Assessment of Ungulate Densities in Amangarh Tiger Reserve. Journal of Wildlife Science, Online Early Publication, 01-04.

FUNDING
This study was funded by WWF-India.

COPYRIGHT
© 2024 Reza, Singh, Anwar, Khan. This is an open-access article, immediately and freely available to read, download, and share. The information contained in this article is distributed under the terms of the Creative Commons Attribution License (CC BY), allowing for unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited in accordance with accepted academic practice. Copyright is retained by the author(s).

PUBLISHED BY
Wildlife Institute of India, Dehradun, 248 001 INDIA

PUBLISHER'S NOTE
The Publisher, Journal of Wildlife Science or Editors cannot be held responsible for any errors or consequences arising from the use of the information contained in this article. All claims expressed in this article are solely those of the author(s) and do not necessarily represent those of their affiliated organisations or those of the publisher, the editors and the reviewers. Any product that may be evaluated or used in this article or claim made by its manufacturer is not guaranteed or endorsed by the publisher.

 

Ahmed, T., Bargali, H. S., Verma, N., & Khan, A. (2018). Status of Wildlife Habitats in Ramnagar Forest Division, Terai-Arc Landscape, Uttarakhand, India. Geoscience Research, 3(1), 1-8.
 
Bisht, S., Banerjee, S., Qureshi, Q., & Jhala, Y. (2019). Demography of a high-density tiger population and its implications for tiger recovery. Journal of Applied Ecology, 56(7), 1725-1740.
 
Biswas, S. & Sankar, K., (2002). Prey abundance and food habit of tigers (Panthera tigris tigris) in Pench National Park, Madhya Pradesh, India. Journal of Zoology, 256, 411–420.
 
Buckland, S.T., Anderson, D.R., Burnham, K.P. & Laake, J.L. (2001). Introduction to Distance Sampling: Estimating Abundance of Biological Populations. Oxford University Press, Oxford, UK.
 
Buckland, S.T., Anderson, D.R., Burnham, K.P. & Laake, J.L. (1993). Distance Sampling: Estimating Abundance of Biological Populations. Chapman and Hall, New York, USA.
 
Buckland, S. T., Rexstad, E. A., Marques, T. A., & Oedekoven, C. S.(2015). Distance sampling: methods and applications (Vol. 431). New York: Springer.
 
Burnham, K.P., Anderson, D.J. & Laake, J.L., (1980). Estimation of Density from Line Transect Sampling of Biological Populations. Wildlife Monograph. The Wildlife Society, Bethesda, USA.
 
Caughley, G. (1994). Directions in conservation biology. Journal of animal ecology, 215-244.
 
Dinerstein, E. (1980). An ecological survey of the Royal Karnali-Bardia Wildlife Reserve, Nepal: part III: ungulate populations. Biological Conservation, 18(1), 5-37.
 
Eberhardt, L.L. (1978). Transect methods for population studies. Journal of Wildlife Management, 42, 1–31.
 
Focardi, S., Montanaro, P., Isotti, R., Ronchi, F., Scacco, M., & Calmanti, R. (2005). Distance sampling effectively monitored a declining population of Italian roe deer Capreolus capreolus italicus. Oryx, 39(4), 421-428.
 
Harihar, A., Pandav, B., & Goyal, S. P. (2009). Responses of tiger (Panthera tigris) and their prey to removal of anthropogenic influences in Rajaji National Park, India. European Journal of Wildlife Research, 55(2), 97-105.
 
Harihar, A., Pandav, B., & MacMillan, D. C. (2014). Identifying realistic recovery targets and conservation actions for tigers in a human-dominated landscape using spatially explicit densities of wild prey and their determinants. Diversity and Distributions, 20(5), 567-578.
 
Hussain, A., Bargali, H. S., Dasgupta, S., & Gore, K. (2012). Demography, perception and impact of traditional pastoralists (Van Gujjars) on biotic resources of Corbett Tiger Reserve and the adjoining forest divisions. HNB Garhwal University (A Central University) Srinagar, Garhwal and The Corbett Foundation, Ramnagar, Uttarakhand. Report submitted to Uttarakhand State Forest department.
Jathanna, D., Karanth, K.U. & Johnsingh, A.J.T. (2003). Estimation of large herbivore densities in the tropical forests of southern India using distance sampling. Journal of Zoology, 261, 285–290.
 
Johnsingh, A.J.T., (1983). Large mammalian prey-predators in Bandipur. Journal of the Bombay Natural History Society, 80, 1–57.
Karanth, K.U. & Stith, B.M., (1999). Prey depletion as a critical determinant of tiger densities. In Riding the Tiger: Tiger Conservation in Human-dominated Landscapes (eds J. Seidensticker, S. Christie & P. Jackson), Cambridge University Press, Cambridge, UK, pp. 100–113.
 
Karanth, K.U. & Sunquist, M.E., (1992). Population structure, density and biomass of large herbivores in the tropical forests of Nagarhole, India. Journal of Tropical Ecology, 8, 21–35.
 
Karanth, K.U. & Sunquist, M.E., (1995). Prey selection by tiger, leopard and dhole in tropical forests. Journal of Animal Ecology, 64, 439–450.
 
Kumar, N. S. (2000). Ungulate density and biomass in the tropical semi-arid forest of Ranthambore, India (Doctoral dissertation, Pondicherry University).
 
Purvis, A., Gittleman, J. L., Cowlishaw, G., & Mace, G. M. (2000). Predicting extinction risk in declining species. Proceedings of the royal society of London. Series B: Biological Sciences, 267(1456), 1947-1952.
 
Qureshi, Q., Jhala, Y. V., Yadav, S. P., & Mallick, A. (2023). Status of tigers, co-predators and prey in India, 2022. National Tiger Conservation Authority, Government of India, New Delhi, and Wildlife Institute of India, Dehradun.
Road maze. (2024). https://www.downtoearth.org.in/environ-ment/road--maze-10465 (accessed 03 November 2024).
 
Schaller, G.B. (1967). The Deer and the Tiger. University of Chicago Press, Chicago, USA.
 
Skalski, J. R., Ryding, K. E., & Millspaugh, J. (2010). Wildlife demography: analysis of sex, age, and count data. Elsevier.
Sunquist, M.E., (1981). The social organization of tigers (Panthera tigris) in Royal Chitwan National Park, Nepal. Smithsonian Contributions to Zoology, 336, 1–98.
 
Thomas, L., Buckland, S.T., Rexstad, E.A., Laake, J.L., Strindberg, S., Hedley, S.L., Bishop, J.R., Marques, T.A. and Burnham, K.P. (2010). Distance software: design and analysis of distance sampling surveys for estimating population size. Journal of Applied Ecology, 47, 5–14.
`
Wikramanayake, E., Dinerstein, E., Seidensticker, J., Lumpkin, S., Pandav, B., Shrestha, M., Mishra, H., Ballou, J., Johnsingh, A.J.T., Chestin, I., Sunarto, S., Thinley, P., Thapa, K., Jiang, G., Elagupillay, S., Kafley, H., Pradhan, N.M.B., Jigme, K., Teak, S., Cutter, P., Aziz, M.A. & Than, U. (2011). A landscape-based conservation strategy to double the wild tiger population. Conservation Letters, 4, 219–227.
 
Witmer, G. W. (2005). Wildlife population monitoring: some practical considerations. Wildlife Research, 32(3), 259-263.