Journal of Threatened
Taxa | www.threatenedtaxa.org | 26 April 2025 | 17(4): 26780–26788
ISSN 0974-7907 (Online) | ISSN 0974-7893 (Print)
https://doi.org/10.11609/jott.9621.17.4.26780-26788
#9621 | Received 19 January 2025 | Final received 25 March 2025 | Finally
accepted 03 April 2025
Evaluating wildlife activity and
corridor functionality: a study of underpasses in and around Rajaji National
Park, India
Nishant Verma 1, Saket
Badola 2 & Samrat Mondol
3
1 Forest Fire and Disaster
Management, Uttarakhand Forest Department, Dehradun, Uttarakhand 248001, India.
2 Corbett Tiger Reserve, Ramnagar,
Uttarakhand 244715, India.
3 Wildlife Institute of India,
Dehradun, Uttarakhand 248002, India.
1 nvermaifs1999@gmail.com
(corresponding author), 2 dr.saketbadola@gmail.com ,3 samrat@wii.gov.in
Editor: Anonymity requested. Date of
publication: 26 April 2025 (online & print)
Citation: Verma,
N., S. Badola & S. Mondol (2025). Evaluating wildlife activity and
corridor functionality: a study of underpasses in and around Rajaji National
Park, India. Journal of Threatened Taxa 17(4): 26780–26788. https://doi.org/10.11609/jott.9621.17.4.26780-26788
Copyright: © Verma et al. 2025. Creative Commons Attribution 4.0 International License.
JoTT allows unrestricted use, reproduction, and distribution of this article in
any medium by providing adequate credit to the author(s) and the source of
publication.
Funding:
All the equipment and logistics were supported by the Uttarakhand Forest
Department.
Competing interests:
The authors declare no competing interests.
Author details and
Author contributions: Nishant
Verma (APCCF, Uttarakhand Forest Department) conceptualised the study,
conducted fieldwork, analysed data, and wrote the first draft. Saket Badola (former director, Rajaji
Tiger Reserve) assisted with data collection and manuscript preparation. Samrat Mondol (scientist, Wildlife
Institute of India) contributed to the study design and reviewed the
manuscript.
Acknowledgements: We
sincerely thank the Director, Rajaji Tiger Reserve, the Divisional Forest
Officer, Dehradun Forest Division, and Dr. Samir Sinha, former Chief Wildlife
Warden, Uttarakhand, for providing field logistics and the necessary
permissions to conduct this research. We are grateful to Dr. Bivash Pandav,
Wildlife Institute of India, for his invaluable guidance in planning and
carrying out the study. Dr. Shivam Shrotriya is acknowledged for his guidance
in data analysis and writing. We also extend our appreciation to the field
staff for their dedication and support in carrying out the work.
Abstract: Habitat fragmentation threatens
biodiversity, making wildlife corridors vital for maintaining ecological
connectivity. This study evaluated the functionality of three
corridors—Chilla-Motichur, Teenpani, and Laltappar—in and around Rajaji National
Park, Uttarakhand, India. We deployed camera traps at these corridors and
surrounding forest areas for 8,198 trap nights to monitor the wildlife use of
the corridors. We recorded 17 species of wild animals in the connected forested
area and nine within the corridors. The Wild Pig Sus scrofa and Sambar Rusa
unicolor were the most frequently captured species, with the highest
Relative Abundance Index (RAI) in the Teenpani corridor. Activity patterns of
wild species showed changes in the corridor compared to forest areas. Chital Axis
axis exhibited continuous activity in corridors but an early-morning peak
in forests (Δ = 0.68). Asiatic Elephant Elephas maximus shifted from
daytime activity in forests to nocturnal peaks in corridors, likely avoiding
human presence (Δ = 0.48). Sambar avoided daytime activity in the corridor
compared to activity in the forest (Δ = 0.55), while Wild Pig maintained
nocturnal peaks across both habitats (Δ = 0.71). Human activity, primarily
diurnal, overlapped with Chital (Δ = 0.61) and increased potential encounters
with Elephants and Leopards during evening hours (Δ = 0.25 and 0.39,
respectively). Mitigation measures, such as habitat restoration and managing
anthropogenic activities, are crucial for strengthening corridor functionality.
The recent reintroduction of tigers in western Rajaji underscores the
importance of these corridors for species connectivity and genetic exchange.
This study provides valuable insights into managing wildlife corridors in
human-dominated landscapes, highlighting their role in biodiversity
conservation.
Keywords: Asiatic Elephant, camera
trapping, conservation monitoring, habitat connectivity, human disturbance,
infrastructure mitigation, species activity patterns.
Introduction
The rapid expansion of human
activities has led to significant alterations in natural landscapes. Habitat
loss and fragmentation are two main contributors to biodiversity decline
(Haddad et al. 2015). Anthropogenic habitat loss occurs when natural areas are
converted for human activities such as agriculture, horticulture,
infrastructure development, and urban expansion. Roads, railways, and urban
expansion fragment once-continuous landscapes, thus impeding wildlife movement,
disrupting ecological processes, and increasing the risk of local extinctions
(Laurance et al. 2014; van der Ree et al. 2015). These processes disrupt
habitat connectivity, impacting the movement, dispersal, and genetic exchange
of wildlife populations (e.g., Callens et al. 2011; Napolitano et al. 2015). Such
disruptions can have profound consequences, including population decline and
loss of ecosystem functionality. Therefore, connecting natural habitats through
ecological corridors is crucial for maintaining gene flow and population
viability in the wild (Holderegger & Di Giulio 2010).
Wildlife corridors, composed of
native vegetation, link larger habitat patches and facilitate animal movement
(Burkart et al. 2016). By mitigating the effects of habitat loss and
fragmentation, these corridors help sustain healthy animal populations and
preserve biodiversity. In human-dominated landscapes, corridors are essential
conservation tools, enabling wildlife to navigate fragmented habitats and
reducing the risks of isolation and local extinctions.
The Terai Arc Landscape (TAL),
spanning the Himalayan foothills in India and Nepal, is among the world’s 200
globally significant ecoregions (Olson & Dinerstein 1998). This landscape
harbours flagship species such as the Royal Bengal Tiger Panthera tigris
and the Asiatic Elephant Elephas maximus, which require large, connected
habitats for survival (Jhala et al. 2015). TAL is also a human-dominated
landscape, facing significant challenges from expanding settlements,
agriculture, and transportation infrastructure (Harihar & Pandav 2012).
Corridors within this landscape are critical for maintaining connectivity
between protected areas, yet many have become degraded due to anthropogenic
pressures.
Rajaji National Park (RNP),
spanning 820 km² within the western TAL, is a key protected area for Tigers,
elephants, and other large mammals. This park is bifurcated into eastern and
western sections by the Ganges River (Johnsingh et al. 2004). Additionally,
highways and railway lines connecting Haridwar and Dehradun, two of
Uttarakhand’s most populated cities, create significant movement barriers for
wildlife between protected areas and surrounding patches of reserve forests.
Particularly, the connectivity between the Barkot Range of the territorial
forest and the Kansrao Range of RNP is critical for elephant movement in this
landscape (Johnsingh et al. 2004). Historically, the erstwhile Chilla-Motichur
corridor played a crucial role in facilitating wildlife movement across both
banks of the Ganges. This 3-km long and 1-km wide stretch of forest land that
connects the Chilla Forest range on the eastern part of the Ganga to the
Motichur Range on the west bank, is the only functional link between the
eastern and western parts of RNP. While roads, railways, and irrigation
channels hinder wildlife movement, roads pose the greatest barrier due to a
continuous traffic flow. To address these challenges, three wildlife
underpasses—Chilla-Motichur, Teenpani, and Laltappar—were constructed on the
highway to provide connectivity between forested habitats within and around the
park in 2021 (Nigam et al. 2022).
In this study, the current
functionality of these three corridors were accessed in facilitating wildlife
movement. Using camera-trap data, the activity patterns of key species —
Leopard Panthera pardus, Asiatic Elephant, Spotted Deer or Chital Axis
axis, Sambar Rusa unicolor, and Wild Boar Sus scrofa—were
compared within the corridors and nearby forest ranges. It was also examined
how human activities influence wildlife behaviour and corridor usage. By
assessing corridor effectiveness, this study provides data-driven insights for
enhancing connectivity and informing conservation planning in RNP and the
broader TAL.
Material
and Methods
Study Area
The study was conducted in the
western part of Rajaji National Park (RNP), situated in Uttarakhand, India
(30.248–29.850 0N & 77.878–78.444 0E), within the
Terai Arc Landscape (TAL). The study focused on three wildlife
corridors—Chilla-Motichur, Teenpani, and Laltappar—which have been established
to connect fragmented forest patches of the Chilla, Motichur, & Kansrao
ranges of RNP, and Barkot & Rishikesh ranges of the Dehradun Forest
Division (Image 1). These corridors are intersected by major highways and railways,
with underpasses designed to mitigate barriers to wildlife movement. The
Chilla-Motichur underpass is 900 m long, while the Teenpani and Laltappar
underpasses are each approximately 500 m in length. These underpasses provide
critical connectivity between forested habitats in the park and adjacent
territorial forests (Nigam et al. 2022).
The vegetation of RNP is
primarily tropical moist and dry deciduous forests (Champion & Seth 1968),
dominated by Sal Shorea robusta. Riverine forests and scrublands are
also present. The region supports diverse wildlife, including flagship species
such as the Tiger, Asiatic Elephant, and Leopard. It also harbours a rich
diversity of avifauna and herpetofauna.
Camera-trapping
Camera traps were deployed
between April and November 2022 across the corridors and adjacent forest ranges
(Table 1). Sixty-four motion-triggered digital cameras (Cuddeback Model C1)
were installed, yielding a total of 8,198 trap nights. Cameras were
single-sided and mounted approximately 30–40 cm above ground level. Under the
flyovers, the cameras were placed at a minimum of 25 m to a maximum of 100 m
distance from each other along the flyover, so that any animal crossing the
flyover would not be missed out. The Chilla-Motichur corridor was monitored by
24 cameras, whereas the Teenpani and Laltappar corridors each had eight
cameras. Eight adjacent forest beats in five ranges of RNP and the Dehradun
Forest division were sampled to understand the presence of wildlife. Three
camera traps were deployed in each of the beats, except for six cameras in the
Chandi beat of Barkot Range as it was relatively larger (Image 1, Table 1).
Camera traps were strategically placed along trails, riverbanks, and other
linear features to maximize the detection of medium- and large-sized mammals,
which commonly use these pathways (Jhala et al. 2015). All the camera traps
were active 24 h and monitored every fortnight to check the battery status and
retrieve the data.
Data analyses
Species identification was
conducted manually for each photograph by a single observer and verified by a
second observer. The date and time of each photograph were recorded from the
image metadata, maintaining a time interval of 1 min for independent capture
events. Wildlife presence in the connected forest areas and corridor
underpasses was quantified using the relative abundance index (RAI), defined as
the number of independent detections per 1,000 trap nights (O’Brien 2011).
Comparative analyses of species activity patterns in forests and corridors, as
well as their temporal overlap with humans, were conducted using the camtrapR
package (version 2.3.0; Niedballa et al. 2016) in R (version 4.4.0; R Core Team
2024). Temporal overlap was estimated by the overlap coefficient Δ, which
ranges from 0 (no overlap) to 1 (complete overlap) and is calculated using
kernel density functions fitted to the time data of capture incidents of two
species (Ridout & Linkie 2009).
Results
Over 8,198 trap nights, camera
traps recorded 17 species in the forest areas and nine in the corridors. Among
the corridors, Chilla-Motichur and Laltappar had the highest species richness
(seven species each), while Teenpani recorded six species (Image 2, Table 2).
Teenpani had the highest relative abundance index (RAI) for Wild Boar (227.2)
and Sambar (123.31) among the corridors, whereas Chilla-Motichur and Laltappar
exhibited lower RAIs for most species (Table 2). In contrast, adjacent forest
areas exhibited higher RAIs across all species, indicating a preference for
less-disturbed habitats (Wilcoxon test: V = 0, p <0.001).
Species exhibited distinct
activity patterns between corridors and forest areas (Figure 1). Chital, the
only diurnal species, exhibited activity throughout the 24-hour period in
corridors, whereas it displayed a distinct early-morning peak inside the forest
(Δ = 0.68). Leopards were uniformly active throughout the day in the forest but
showed slightly reduced daytime activity in corridors (Δ = 0.71). Elephants
exhibited contrasting activity patterns, with a daytime activity peak in forest
ranges and a night-time peak in corridors (Δ = 0.48). Sambar displayed an
early-morning activity peak in corridors, avoiding the daytime, while in the
forest, it maintained activity throughout the day with increased movement
during morning and evening hours (Δ = 0.55). Wild Pig activity remained
consistent across both habitats, with peaks at night and reduced activity
during the day (Δ = 0.71).
Human activity occurred
exclusively during the daytime across all corridors, significantly overlapping
with Chital (Δ = 0.61, Figure 1). Other species avoided times of peak human
activity. The Leopard (Δ = 0.39) and the elephant (Δ = 0.25), both species
frequently involved in negative human-wildlife interactions, showed increased
overlap with human activity in the evening hours.
Discussion
This study highlights both the
significance and challenges of wildlife corridors in maintaining connectivity
for species within fragmented habitats. The lower species richness observed in
corridors (nine species) compared to forested areas (17 species) reflects the
impact of disturbance and habitat fragmentation in human-dominated landscapes,
a pattern consistent with global studies (Benítez-López et al. 2010; van der
Ree et al. 2015).
Species activity patterns
exhibited significant shifts within corridors compared to forest areas (Figure
1). Chital exhibited continuous activity throughout the daytime in corridors,
whereas, in forests, its activity peaked during the early morning hours. Chital
is primarily a diurnal species, with peak activity occurring at dawn and dusk.
They spend most of their time feeding, followed by resting and social
activities. This diurnal pattern is consistent across various habitats,
including those with high human activity, where they may alter their behaviour
to avoid disturbances (Rajawat & Chandra 2020; Dahya et al. 2023; Kumar et
al. 2023). Leopards, known for their cathemeral activity (Palei et al. 2021;
Dahya et al. 2023), exhibited uniform activity in forests but reduced daytime
activity in corridors, possibly avoiding human activity. Elephants shifted
their activity from a daytime peak in forests to a nocturnal peak in corridors,
demonstrating their adaptability to avoid human encounters (Chakraborty et al.
2021). Sambar, predominantly nocturnal in other studies (Kumar et al. 2023),
showed early-morning peaks in corridors, likely due to lower human presence at
that time. Wild Boars maintained their nocturnal peaks across both habitats,
consistent with findings from Dahya et al. (2023).
Human activity in corridors was
predominantly diurnal, significantly overlapping with Chital activity, while
other species mostly avoided peak human activity times. The overlap of Leopards
and Elephants with human activity during evening hours is concerning, given the
elevated risk of human-wildlife encounters (Figure 1). Such patterns,
particularly involving species known to cause damage or pose danger in shared
spaces, highlight the need for targeted management strategies.
The study also underscores the
importance of infrastructure like underpasses in enhancing corridor
functionality. Although highway underpasses support wildlife movement, parallel
railway lines may act as significant barriers, particularly for elephants,
necessitating targeted mitigation measures (Carvalho et al. 2017; Gilhooly et
al. 2019). Additionally, debris from underpass construction, garbage dumping,
and the use of old roads below the flyover at Teenpani exacerbate habitat
degradation (Oro et al. 2013; Katlam et al. 2018). Habitat restoration,
particularly in the Chilla-Motichur corridor, and increasing forested cover are
crucial for improving corridor effectiveness (Dutta et al. 2018).
The translocation of four Tigers
from Corbett Tiger Reserve to western Rajaji National Park (2021–2024)
reinforces the importance of maintaining functional corridors (Times of India
2024, director, Rajaji Tiger Reserve pers. comm. 20.iii.2025). In 2022, a male
Tiger was photo-captured in camera traps moving from the Chilla Range in the
east to the Motichur Range in the western Rajaji using the reclaimed corridor
under the Chilla-Motichur flyover. This observation signifies the successful
restoration of historical connectivity between the eastern and western RNP.
Furthermore, it highlights the critical role of the Chilla-Motichur corridor in
Tiger conservation in this landscape. As Tigers recolonise the western TAL,
maintaining and monitoring these corridors will be vital for their survival and
genetic exchange. The corridor, is yet to be fully
restored as an existing ammunition depot of the Indian army cuts through it
leaving little space for unrestricted movement of wild animals.
The current study was limited in
scope due to a smaller sample size, a lack of a more systematic sampling
design, and coverage of only limited areas around the flyovers. Using more
camera traps in a grid design could yield more information on the spatial use
and abundance of wildlife populations in the landscape. Therefore, the analyses
were restricted to RAI as an indicator of site use intensity. Interpreting RAI
as abundance may be incorrect as the number of captures may be affected by
habitat quality, disturbances, individual behaviour and camera placement
(O’Brien 2011). Temporal activity may also be affected by similar biases in
captures. Therefore, temporal patterns were not analysed for all the captured
species but focused only on the species with sufficient captures across the
camera traps.
Nonetheless, this study provides
valuable insights into the effectiveness of highway underpasses and the
challenges of maintaining corridor functionality in human-dominated landscapes.
Active measures are essential to enhance corridor utility, including habitat
restoration to increase forest cover, shifting of the army’s ammunition depot
to fully restore the corridor, restricting human activity during critical
wildlife movement times, ensuring proper disposal of construction debris and
garbage, and implementing effective mitigation strategies for railways to
facilitate safe crossings such as advance alert systems, improved braking
systems in the trains, regular patrolling and crossing infrastructures
(Carvalho et al. 2017). Continuous monitoring of corridor use is crucial,
particularly with the recent reintroduction of Tigers, to support the long-term
conservation of these apex predators and Elephants in the region.
The findings from this study
offer broader conservation implications for wildlife corridors in other parts
of the TAL and similarly fragmented habitats across India. The observed shifts
in wildlife activity patterns and the influence of human presence highlight the
urgent need for integrated infrastructure planning including road and rail
barriers in preserving corridor functionality. These results can inform
national-level policy on corridor identification, underpass design, and
mitigation strategies, especially under frameworks such as India’s Wildlife
Action Plan (2017–2031), which prioritises connectivity conservation (MOECCF
2017). Furthermore, the study underscores the importance of long-term
monitoring, offering a replicable approach for assessing corridor functionality
in other Tiger and elephant landscapes.
Table 1. Details of the survey effort during camera trapping at the
corridors and adjacent forest ranges in and around the western Rajaji National
Park.
|
Sites |
Start date |
End date |
Total cameras |
Total trap nights |
Sampling coverage |
|
Corridors |
Length (m) |
||||
|
Laltappar |
12.iv.2022 |
05.xi.2022 |
8 |
1656 |
500 |
|
Teenpani |
10.vi.2022 |
05.xi.2022 |
8 |
1184 |
500 |
|
Chilla-Motichur |
25.iv.2022 |
26.xi.2022 |
24 |
4485 |
900 |
|
Forest beats (ranges) |
Area (Km2) |
||||
|
Chandi (Barkot) |
04.iii.2022 |
21.iv.2022 |
6 |
288 |
14.83 |
|
Jhabargarh (Chilla) |
13.iii.2022 |
16.iv.2022 |
3 |
102 |
11.60 |
|
Suswa (Kansrow) |
19.iii.2022 |
04.v.2022 |
3 |
138 |
6.14 |
|
Gola East (Rishikesh) |
13.iii.2022 |
22.iv.2022 |
3 |
120 |
10.57 |
|
Chilla-Motichur Corridor
(Motichur) |
01.iv.2022 |
18.iv.2022 |
3 |
54 |
2.20 |
|
Danda East (Motichur) |
16.iii.2022 |
19.iv.2022 |
3 |
102 |
6.12 |
|
Gular Parwa West (Motichur) |
16.iii.2022 |
08.iv.2022 |
3 |
69 |
6.40 |
Table 2. Relative abundance index (per 1,000 trap nights) of the
wildlife species, livestock, and humans captured at three corridors and
adjacent forest areas in and around the western Rajaji National Park.
|
Species |
Laltappar |
Teenpani |
Chilla-Motichur |
Forest area |
|
Barking Deer Muntiacus
muntjak |
0.6 |
- |
0.22 |
12.9 |
|
Chital Axis axis |
50.12 |
- |
8.03 |
1363.44 |
|
Sambar Rusa unicolor |
99.64 |
123.31 |
7.8 |
993.55 |
|
Nilgai Boselaphus
tragocamelus |
- |
- |
- |
15.05 |
|
Asiatic Elephant Elephas
maximus |
19.93 |
2.53 |
0.89 |
172.04 |
|
Wild Boar Sus scrofa |
13.89 |
227.2 |
22.07 |
223.66 |
|
Rhesus Macaque Macaca
mulatta |
1.81 |
- |
1.34 |
43.01 |
|
Central Indian Langur Semnopithecus
entellus |
- |
0.84 |
- |
25.81 |
|
Indian Hare Lepus
nigricollis |
- |
- |
- |
49.46 |
|
Indian Crested Porcupine Hystrix
indica |
- |
3.38 |
- |
49.46 |
|
Indian Peafowl Pavo
cristatus |
- |
- |
- |
329.03 |
|
Indian Pangolin Manis
crassicaudata |
- |
- |
- |
4.3 |
|
Leopard Panthera pardus |
12.08 |
15.2 |
4.01 |
215.05 |
|
Tiger Panthera tigris |
- |
- |
- |
4.3 |
|
Striped Hyena Hyaena hyaena |
- |
- |
- |
21.51 |
|
Golden Jackal Canis aureus |
- |
- |
- |
4.3 |
|
Small Indian Civet Viverricula
indica |
- |
- |
- |
17.2 |
|
Livestock |
397.34 |
333.61 |
108.58 |
531.18 |
|
Human |
752.42 |
26094.59 |
2360.98 |
206.45 |
For
figure & images -
- click here for full PDF
Reference
Benítez-López,
A., R. Alkemade & P. Verweij (2010). The impacts of roads and other
infrastructure on mammal and bird populations: a meta-analysis. Biological
Conservation 143: 1307–1316. https://doi.org/10.1016/J.BIOCON.2010.02.009
Burkart, S.,
F. Gugerli, J. Senn, R. Kuehn & J. Bolliger (2016). Evaluating the functionality of
expert-assessed wildlife corridors with genetic data from roe deer. Basic and
Applied Ecology 17(1): 52–60. https://doi.org/10.1016/j.baae.2015.09.001
Callens, T.,
P. Galbusera, E. Matthysen, E.Y. Durand, M. Githiru, J.R. Huyghe & L. Lens
(2011). Genetic
signature of population fragmentation varies with mobility in seven bird
species of a fragmented Kenyan cloud forest. Molecular Ecology 20:
1829–1844. https://doi.org/10.1111/j.1365-294X.2011.05028.x
Carvalho, F.,
S. Santos, A. Mira & R. Lourenço (2017). Methods to Monitor and Mitigate
Wildlife Mortality in Railways, pp. 23–42. In: Borda-de-Água, L., R.
Barrientos, P. Beja & H. Pereira (eds.). Railway Ecology. Springer,
Cham, xxx + 320 pp. https://doi.org/10.1007/978-3-319-57496-7_3
Chakraborty, P.,
J. Borah, P. Bora, P., S. Dey, T. Sharma & S. Rongphar (2021). Camera trap
based monitoring of a key wildlife corridor reveals opportunities and
challenges for large mammal conservation in Assam, India. Tropical Ecology
62: 186–196. https://doi.org/10.1007/s42965-020-00138-x
Champion,
H.G. & S.K. Seth (1968). A Revised Survey of the Forest Types of India. Manager of
publications, 404 pp.
Dahya, M.N.,
R. Chaudhary, A. Shah & A. Kazi (2023). Assemblage, relative abundance
and activity pattern of wild mammals in the human-dominated landscape of Vansda
Taluka, Gujarat, India. Mammalia 87(5): 434–441.
https://doi.org/10.1515/mammalia-2022-0130.
Dutta, T., S.
Sharma & R. DeFries (2018). Targeting restoration sites to improve connectivity
in a tiger conservation landscape in India. PeerJ 6: e5587.
https://doi.org/10.7717/peerj.5587
Gilhooly, P.,
S. Nielsen, J. Whittington & C. St. Clair (2019). Wildlife mortality on roads and
railways following highway mitigation. Ecosphere 10(2): e02597.
https://doi.org/10.1002/ECS2.2597
Haddad, N.,
L.A. Brudvig, J. Clobert, K.F. Davies, A. Gonzalez, R.D. Holt, T.E. Lovejoy,
J.O. Sexton, M.P. Austin, C.D. Collins, W.M. Cook, E.I. Damschen, R.M. Ewers,
B.L. Foster, C.N. Jenkins, A.J. King, W.F. Laurance, D.J. Levey, C.R. Margules,
B.A. Melbourne, A.O. Nicholls, J.L. Orrock, D. Song & J.R. Townshend
(2015). Habitat
fragmentation and its lasting impact on Earth’s ecosystems. Science Advances
1: e1500052. https://doi.org/10.1126/sciadv.1500052
Harihar, A.
& B. Pandav (2012). Influence of connectivity, wild prey and disturbance on occupancy of
tigers in the human-dominated western Terai Arc landscape. PLoS ONE
7(7): e40105. https://doi.org/10.1371/journal.pone.0040105
Holderegger,
R. & M. Di Giulio (2010). The genetic effects of roads: a review of empirical evidence. Basic
and Applied Ecology 11(6): 522–531.
https://doi.org/10.1016/j.baae.2010.06.006
Jhala, Y.V.,
Q. Qureshi & R. Gopal (2015). Status of Tigers in India, 2014. National
Tiger Conservation Authority and Wildlife Institute of India, Dehradun, India,
460 pp.
Johnsingh,
A.J.T., K. Ramesh, Q. Qureshi, A. David, S.P. Goyal, G.S. Rawat, K. Rajapandian
& S. Prasad (2004). Conservation Status of Tiger and Associated Species in the Terai Arc
Landscape, India. Wildlife
Institute of India, Dehradun, India, viii + 110 pp.
Katlam, G.,
S. Prasad, M. Aggarwal & R. Kumar (2018). Trash on the menu. Current
Science 115(12): 2322–2326.
Kumar, K.A.,
Q. Qureshi & Y.V. Jhala (2023). Impact of human activities on
wild ungulates in Nagarjunsagar Srisailam Tiger Reserve, Andhra Pradesh, India.
Journal of Threatened Taxa 15(5): 23147–23163.
https://doi.org/10.11609/jott.8145.15.5.23147-23163
Laurance,
W.F., G.R. Clements, S. Sloan, C.S. O’Connell, N.D. Mueller, M. Goosem, O. Venter, D.P. Edwards,
B. Phalan, A. Balmford & A. van Der Ree (2014). A global strategy for road
building. Nature 513(7517): 229–232.
https://doi.org/10.1038/nature13717
Ministry of
Environment, Forest and Climate Change (MOEFCC) (2017). India’s National Wildlife
Action Plan (2017–2031). Government of India.
https://ntca.gov.in/assets/uploads/Reports/Others/Wildlife_Action_Plan_2017_31.pdf
Downloaded on 22 March 2025.
Napolitano,
S., D. Díaz, J. Sanderson, W.E. Johnson, K. Ritland, C.E. Ritland & E.
Poulin (2015). Reduced
genetic diversity and increased dispersal in Guigna Leopardus guigna in
Chilean Fragmented landscapes. Journal of Heredity 106(S1): 522–536.
https://doi.org/10.1093/jhered/esv025
Niedballa,
J., R. Sollmann, A. Courtiol & A. Wilting (2016). camtrapR: an
R package for efficient camera trap data management. Methods in Ecology and
Evolution 7(12): 1457–1462. https://doi.org/10.1111/2041-210X.12600
Nigam, P., S.
Mondol, B. Habib, N. Lakshminarayanan & J. Das (2022). Quantitative Assessment of Animal
Movement Through Newly Commissioned Wildlife Underpasses at the Chilla-Motichur
and Kansrao-Barkot Corridors in the Rajaji Landscape, Uttarakhand. Wildlife Institute of
India-Uttarakhand Forest Department, Dehradun, India, 30 pp.
Olson, D.M.
& E. Dinerstein (1998). The Global 200: A representation approach to conserving the earth’s
most biologically valuable ecoregions. Conservation Biology 12(3):
502–515.
O’Brien, T.G.
(2011). Abundance,
Density, and Relative Abundance: A Conceptual Framework, pp. 71–96. In:
O’Connell, A.F., J.D. Nichols & K.U. Karanth (eds.). Camera Traps in
Animal Ecology: Methods and Analyses. Springer, New York, 271 pp.
Oro, D., M.
Genovart, G. Tavecchia, M.S. Fowler & A. Martínez-Abraín (2013). Ecological and evolutionary
implications of food subsidies from humans. Ecology Letters 16(12):
1501–1514.
Palei, H., T.
Pradhan, H. Sahu & A. Nayak (2021). Diet and activity pattern of
leopard in relation to prey in tropical forest ecosystems. Mammalia 88(1):
1–16. https://doi.org/10.1515/mammalia-2021-0003.
Rajawat, R.,
& S. Chandra (2020). Activity Pattern of Chital (Axis axis) in Mukandra Hills Tiger
Reserve, India. International Journal of Ecology and Environmental Sciences
46: 173–176.
Ridout, M.S.
& M. Linkie (2009). Estimating overlap of daily activity patterns from camera trap
data. Journal of Agricultural,
Biological, and Environmental Statistics 14: 322–337.
https://doi.org/10.1198/jabes.2009.08038
R Core Team
(2024). R: A Language
and Environment for Statistical Computing. R Foundation for Statistical
Computing, Vienna, Austria. https://www.R-project.org/.
Times of
India (2024). Fourth Tiger
to be Translocated from Corbett to Rajaji Reserve.
https://timesofindia.indiatimes.com/city/dehradun/fourth-tiger-to-be-translocated-from-corbett-to-rajaji-reserve-dehradun/articleshow/108417305.cms.
Accessed on 04 January 2025.
van der Ree, R., J.A. Jaeger,
E.A. van der Grift & A.P. Clevenger (2015). Effects of roads and traffic on
wildlife populations and landscape function: Road ecology is moving toward
larger scales. Ecology and Society 20(2): 1–15.