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Item Status of wildlife between Kota barrage and Jawahar Sagar Dam, Rajasthan(Wildlife Institute of India, Dehradun, 2021) Johnson, J.A.; George, Arun; Sharma, Megha; Kavin, D.; Sreelekha Suresh; Gopi, G.V.; Hussain, S.A.The present study examined the impacts of post-construction phase of the cable-stayed bridge on the aquatic wildlife and river habitat quality of the Chambal River between Kota barrage and Jawahar Sagar dam, Rajasthan. The study was carried out between March and November 2021. The study area was divided into 5 segments (each comprising 5 Km length of river) and the segment 1 stats from the Kota barrage. We recorded good signs/ activities of smooth-coated otters in the study area. This species is listed under “Schedule II” of IWPA 1972 and "Vulnerable" as per the IUCN Red List. A total of 10 sites within five river segments were surveyed for otter signs during pre-monsoon and post-monsoon seasons. Out of which five sites (50%) have shown positive otter signs (fresh spraints, tracks, and direct sightings) during pre-monsoon, whereas in the post-monsoon season the number of otters occupied sites have reduced to four sites (40%). The otter occupancy map indicated, the segment 2 (just above the bridge area) had high level of otter presence. We recorded good population of bird diversity between Kota barrage and Jawahar sagar dam. A total of 132 bird species, which includes 45 wetland birds (N=1569), 21 species of raptors (N=928), and 66 species of other terrestrial birds (N=1351) were recorded. These include two Critically Endangered (Indian Vulture and Red-headed Vulture), one Endangered (Egyptian Vulture), one Vulnerable (Woolly-necked Stork) and four Near Threatened species (River Tern, Black-headed Ibis, Oriental Darter and Alexandrian parakeet). During the study period, the raptors, Indian Vulture (Gyps indicus) and Egyptian vultures (Neophron percnopterus) were very commonly recorded and more number of nests were recorded in the third segment of the study stretch. In addition to vulture nests, we also observed nests of Bonelli's eagle (Aquila fasciata) and Dusky eagle-owl (Bubo coromandus) in the riverside escarpments. We also recorded nests of three waterbird species, which include Grey Heron (Ardea cinerea), Black-crowned night heron (Nycticorax nycticorax) and Woolly necked stork (Ciconia episcopus). Avian richness was varying with the season maximum number of waterbirds were observed during pre-monsoon (S=40), this same trend was followed by raptors (S=15) and other terrestrial birds (S=57). The bird occupancy map indicated that the segment 1 and segment 2 supported high abundance birds. We also recorded two species of aquatic reptiles, which are Mugger (Crocodylus palustris) and Indian roofed turtle (Pangshura tecta). Though, the river banks are mostly of rocky and large boulders with limited sand beach, we found quite a few nesting sites of muggers along the river banks. A total of 34 individuals and 23 individuals of muggers were recorded during pre-monsoon and post-monsoon respectively. The study area also supports good population of freshwater fishes. Rapid Assessment Report - 6 - During the study we recorded 46 species of fishes from the study area. Fishes belonging to the carp family were dominant in species richness (S=22). Among the 46 species of fish, three species are listed under threatened categories as per the IUCN Red List. During the study period the important physicochemical parameters of the water was monitored and the values were significantly varied between the river segments (p<0.05). The pH was found to be slightly alkaline across the river segments ranged from 7.08±0.02 and 8.55±0.01. Like conductivity, total dissolved solids in water (TDS) varied, ranging from 91.54 ppm at the second segment of the river in postmonsoon to 150 ppm at the second segment in pre-monsoon. All water quality parameters were found within the normal range of river water quality. Based on our findings we conclude that the cable-stayed hanging bridge of Kota does not have any negative impact on the wildlife of the Chambal River. The bridge is on the stable rocky gorge area, around 30 m above the water level across the river Chambal without any supporting billers from the riverbed. Thus, there is no direct contact between the river and bridge structure. Further, the technology used in this structure is marvellous, because it is totally vibration and notice proof. In this study we had some significant observations very close to this cable bridge such as an active nest of Egyptian Vulture (Neophron percnopterus) very close to this bridge (25° 8'23.14"N, 75°47'36.64"E), which is just 80 meters away from the bridge and a nest of Woolly-necked Stork (Ciconia episcopus) just 200 meters downstream from the bridge (25° 8'20.90"N, 75°47'33.11"E). Generally, Woolly-necked Storks are assumed to prefer isolated areas for nesting (Mehta 2020). Previous studies indicated that disturbance is one of the major factors for avoiding nesting habitat by Storks (Bouton et al., 2005). We also observed the permanent roosting sites of the Indian eagle-owl (Bubo bengalensis) nearer to this bridge (25° 8'16.12"N, 75°47'27.02"E). Likewise, we observed number of direct sighting of otters and crocodiles near as well as downstream regions of bridge when compared to other segments of the rivers. Moreover, the water quality parameters examined were within the normal range of river water quality. Thus, the present study revealed that the presence of cable-stayed bridge does not have any negative impact on the aquatic wildlife and quality of habitats in the Chambal River.Item Current population status, distribution and threats to Indian Pangolin (Manis crissicaudata) in Terai Arc Landscape, Uttarakhand: a pilot study(Wildlife Institute of India, Dehradun, 2020) Lyngdoh, S.; Goyal, S.P.; Nigam, P.; Kumar, V.; Badola, S.; Rasailly, S.This pilot study to provide information on the current distribution of Indian pangolin and major poaching hotspots throughout its ranges to suggest appropriate conservation strategies and protection measures for the species. The proposed objectives for this pilot study are the following: a. To review the current status, distribution and threats to the Indian pangolin population in the study area. b. To prepare a standard protocol for the survey and population estimation of Indian pangolin. c. To formulate effective anti-poaching strategies and devise conservation measures for Indian pangolin to help Uttarakhand Forest Department.Item Status of tigers, copredator and prey in Bor Tiger Reserve, Maharashtra, India 2021(Wildlife Institute of India, Dehradun, 2022) Habib, Bilal Habib, B., Nigam, P., Govekar, R., Ramanujam, M. Gawai, R, Dabholkar, Y., Bhowmick, I.; Nigam, P.; Govekar, R.; Ramanujam, M.; Gawai, R.; Dabholkar, Y.; Bhowmick, I.SummaryThe Phase IV monitoring exercise as a part of the project “Long Term Monitoring of Tigers-predators and prey in tiger reserves and other bearing areas of Vidarbha, Maharashtra, for Bor Tiger Reserve was conducted from December 2020-May 2021. This exercise, having three main objectives, the status of prey, estimation of minimum tiger and leopard numbers, and capacity building among staff flagged off with a capacity-building workshop in December 2020. Line transects surveys aimed to estimate the density of prey species were carried out in two blocks with an effort of 7 days for each transect line. In the core area among all the prey species, the highest density was recorded for Chitals 7.14 (±4.44)/km2 followed by Sambar 6.45 (±2.26)/km. sq. and Nilgai 2.53(±0.67)/km2.In the buffer area, the highest density was recorded for wild pigs 5.75 (±1.26)/km2 among all the ungulate species. The density of other species includes Chital 0.81 (±0.22), Sambar 0.40 (±0.15), Nilgai 4.72 (±0.58), Peafowl 2.56 (±0.54), Langur 19.09 (±2.49).Camera trapping based on the spatial capture-recapture framework was conducted on the same locations of the same grids (2 km2) similar to the previous cycle (2020) which were selected based on a rigorous sign survey that provided sign encounters of tiger, leopard, and other co-predators. This year both core and buffer areas were covered in two blocks with 211 active camera trap stations during February 2021-May 2021. The effort resulted in 7572 trap nights. The number of individual tigers captured was 9 along with 46 leopards. Tiger density based on the Spatially Explicit Capture-Recapture framework was 1.10(±0.37)/100km2 and the density of leopard was 6.68 (±0.80)/100km2. To study space use and activity patterns we have used camera-trapping data from both core and buffer areas of Pench Tiger Reserve. Higher activity overlap was recorded between tigers and leopards (Dhat1=0.88) among predators. Camera trap locations with the number of captures of each species were modeled in a GIS domain using IDW (Inverse distance weighted) interpolation technique to generate spatially explicit capture surfaces. The times recorded on camera trap photos provide information on the period during the day that a species is most active. Species active at the same periods may interact as predator and prey, or as competitors. Sensors that record active animals (e.g. camera traps) build up a record of the distribution of activity over the day. Records are more frequent when animals are more active and less frequent or absent when animals are inactive. The area under the distribution of records thus contains information on the overall level of activity in a sampled populationItem Status of tigers, co-predator and prey in Akola Wildlife Division, Maharasthra, India 2021(Wildlife Institute of India, Dehradun, 2022) Habib, Bilal Habib, B., Nigam, P., Banerjee, J., Reddy, M. S., Nimje, A., Khairnar, M. N., Patil, J. and Ray, S. (; Nigam, P.; Banerjee, J.; Reddy, M.S.; Nimje, A.; Khairnar, M.N.; Patil, J.; Ray, S.Phase IV monitoring for Akola Wildlife Division was conducted from February – May 2021 covering an area of 300 sq. km. as a part of the project “Long-term Monitoring of Tigers, Co-Predators and Prey in Tiger Reserves and other Tiger bearing areas of Vidarbha, Maharashtra”. The objective of the Phase IV Monitoring is to estimate the minimum number of tigers in the reserve using Capture-Recapture Sampling and density estimation of prey base using Distance Sampling. A total of 103 camera traps (pairs) were placed in the 4 wildlife sanctuaries (viz. Dnyanganga WLS, Katepurna WLS, Karanja-Sohol WLS and Lonar WLS) of Akola Wildlife Division following a sampling grid of 2 sq. km. In each wildlife sanctuary, camera traps were active for 25-30 days. During 90 days of camera trapping survey with a sampling effort of 3,090 trap nights, 42 adult individual leopards were photographed in Akola Wildlife Division. 28 adult individual leopards were photographed in Dnyanganga WLS and population size (N) based on the best fit (SECR Heterogeneity) model was 28 (SE ± 1.0). 9 adult individual leopards were photographed in Katepurna WLS and population size (N) based on the best fit (SECR Null) model was 10 (SE ± 1.27). 3 and 2 adult individual leopards were photographed in Karanja-Sohol WLS and Lonar WLS respectively. Leopard density per 100 sq. km. based on the Spatially Explicit Capture-Recapture (SECR) model was 13.42 (SE ± 2.56) and 25.61 (SE ± 8.85) for Dnyanganga WLS and Katepurna WLS respectively. To estimate prey density in Dnyanganga WLS, 42 line transects were sampled times 6-7 during the sampling period, with a total walking effort of 513 km. Overall during the sampling, 336 animal/bird observations were made. The overall density of major prey species (Wild Boar 14.90/sq. km., Nilgai 12.51/sq. km., Peafowl 2.79/sq. km., Chinkara 1.40/sq. km. and Four Horned Antelope 1.33/sq. km.) as estimated using distance sampling was 24.19 /sq. km. A basic understanding of sympatric carnivore ecology with asymmetric competition enables us to hypothesize that to coexist and not just co-occur there must be niche segregation on at least one of the three axes: space, time, and/or diet. To understand how large sympatric predators co-occur in space and in time, camera trapping was carried out. Temporal activity overlaps were derived by using kernel density. Leopards were found in all 4 wildlife sanctuaries. There was a distinct difference in the space-use pattern observed for all three carnivores and a strong spatial segregation pattern found between Leopards, Hyenas and Dholes. It showed significant segregation and avoidance of each other’s space. While leopards show a strong, bimodal, nocturnal activity pattern, Hyenas have a strong, unimodal activity pattern in Dnyanganga WLS. In Katepurna WLS, leopards show a strong unimodal, nocturnal activity pattern and dholes show a bimodal, crepuscular activity pattern.Item Status of Tigers, Co-Predator and Prey in Pandharkawada Forest Division (Territorial) 2021(Wildlife Institute of India, Dehradun, Maharashtra Forest Department, 2022) Habib, Bilal Status of Tigers, Co-Predator and Prey in Pandharkawada Forest Division (Territorial) 2021; Ramarao, S.V.; Jagtap, K.P.; Nigam, P.; Koley, S.The Phase IV monitoring for the Pandharkawada Forest Division (Territorial) was conducted from March –April (2021) as part of the project “Long Term Monitoring of Tigers, Co-Predators and Prey species in Vidarbha Landscape, Maharashtra, India”. The exercise aimed to cover an area of 655.336 km2 of the forested area of the entire division. The objective of the Phase IV Monitoring is to estimate the minimum number of tigers in the Pandharkawada Forest Division using Spatially-Explicit-Capture-Recapture Sampling and density estimation of prey species using Line transect based Distance Sampling. 110 pairs of camera traps were placed in the forested area of Pandharkawada Forest Division following a sampling grid of 2 km2 in all four blocks. The camera traps were active for average 30 days in each block yielding a sampling effort 3508 of trap nights of data which is used for further analysis. From the camera trap photographs 11 tigers (unique to Pandharkawada Forest Division) and 10 leopards have been identified. Tiger density per 100 km2 based on the Spatially Explicit Capture-Recapture (SECR) model was 2.356 (SE ± 0.727) in the forest division while that of leopards based on the same method was 2.99 (SE ±1.03). To estimate prey density, 84 line-transects were laid randomly all over the division and were sampled 7 times during the sampling period, with a total walking effort of 1176 km was invested. The observations include chital (Axis axis), nilgai (Boselaphus tragocamelus), chousingha (Tetracerus quadricornis), langur (Semnopithecus sp), wild boar (Sus scrofa), chinkara (Gazella bennetii), Indian hare (Lepus nigricollis) and peafowl (Pavo cristatus). As per the observations, Nilgai (n=278) is the most observed species followed by Wild boar (n=77), Peafowl (n= 54), Indian hare (n=45) and Chital (n=44). The overall prey density of Pandharkawada Forest Division is 10.977 (SE± 1.19). Due to very low observations (n<20) densities of chousingha and chinkara could not be estimated. To study the activity, we used the camera trap images. The times recorded on camera trap photos provide information on the period during the day that a species is most active. Species active at the same periods may interact as predator and prey, or as competitors. Sensors that record active animals (e.g. camera traps) build up a record of the distribution of activity over the day. Records are more frequent when animals are more active and less frequent or absent when animals are inactive. The area under the distribution of records thus contains information on the overall level of activity in a sampled population. We used IDW (Inverted distance weighted) to map the intensive area used by different animal species.Item Status of tigers, copredator and prey in Tadoba Andhari Tiger Reserve (TATR) 2021(Wildlife Institute of India, Dehradun, Maharashtra Forest Department, 2022) Habib, Bilal Habib, B., Nigam, P., Ramgaokar, J., Guruprasad, G., Kale, N., Bhagwat, S. S., Krishnan, A., Hushangabadkar, P., Sheikh, S. (2022): Status of Tigers, Co-Predator and Prey in Tadoba Andhari Tiger Reserve (TATR) 2021; Nigam, P.; Ramgaokar, J.; Guruprasad, G.; Kale, N.; Bhagwat, S.S.; Krishnan, A.; Hushangabadkar, P.; Sheikh, S.Phase IV monitoring for the Tadoba Andhari Tiger Reserve (TATR) core and buffer was conducted from February – May 2021 covering an area of 1315 sq. km. as a part of the project “Long-term Monitoring of Tigers, Co-predators and Prey in Tiger Reserves and other Tiger bearing areas of Vidarbha, Maharashtra”. The objective of Phase IV Monitoring is to estimate the minimum number of tigers in the reserve using Spatially Explicit Capture-Recapture Sampling and density estimation of prey base using Distance Sampling. Camera traps were placed in 621 grids of 2.01 sq. km. area each in the core and buffer area of TATR in two blocks. In each sampling block, camera traps were active for 27 - 44 days. During 83 days of camera trapping survey with a sampling effort of 20,965 trap nights, 85 adult individual tigers were photographed in the sampled area of TATR. Estimated population (N) of tigers based on the best fit (SECR Heterogeneity) model was 86 (SE ± 0.71). Tiger density per 100 sq. km. based on the Spatially Explicit Capture-Recapture (SECR) model was 6.31 (SE ± 0.70). Along with tigers 114 adult individual leopards were photographed in the sampled area of TATR and estimated population (N) based on the best fit (SECR Heterogeneity) model was 118 (SE ± 2.17). Leopard density per 100 sq. km. based on the Spatially Explicit Capture-Recapture (SECR) model was 7.07 (SE ± 0.67). To estimate prey density, 133 line transects in core and buffer of TATR were sampled 7 times during the sampling period, with a total walking effort of 1862 km. During the sampling, a total of 1163 animal/bird observations were made. The overall individual density per km2 of major prey species in TATR was Gaur 2.16 (SE ± 0.39), Sambar 1.71 (SE ± 0.29), Chital 2.65 (SE ± 0.55), Wild Boar 3.73 (SE ± 0.84), Langur 3.35 (SE ± 0.71), Barking Deer 0.42 (SE ±0.08), Nilgai 1.04 (SE ± 0.25), Black-naped Hare 0.68 (SE ± 0.15) Peafowl 1.79 (SE ± 0.25) and Grey Jungle Fowl 8.19 (SE ± 1.02). A basic understanding of sympatric carnivore ecology with asymmetric competition enables us to hypothesize that to coexist and not just co-occur there must be niche segregation on at least one of the three axes: space, time, and/or diet. To understand how three large sympatric predators co-occur in space and in time, camera trapping was carried out. Temporal activity overlaps were derived by using kernel density. All the sympatric predators were found to co-occur in the sampled area of TATR. There was a distinct difference in the space-use pattern observed for all three carnivores and a strong spatial segregation pattern found between Tigers, Dholes, and Leopards. It showed significant segregation and avoidance of each other’s space. There was a significant overlap between the temporal activity pattern of tigers and leopards. While tigers and leopards show a strong, unimodal, nocturnal activity pattern, dholes show a bimodal, crepuscular activity pattern.Item Status of tigers, co-predator and prey in Painganga Wildlife Sanctuary 2021(Maharashtra Forest Department, Wildlife Institute of India, 2022) Habib, Bilal Habib, B., Banerjee, J., Reddy, M. S., Nigam, P., Jagtap, K., Puranik, S. and Koley, S.; Banerjee, J.; Reddy, M.S.; Nigam, P.; Jagtap, K.; Puranik, S.; Koley, S.Phase IV monitoring for the Painganga Wildlife Sanctuary was conducted from February – April 2021 as part of the project “Long Term Monitoring of Tigers, Co-Predators and Prey species in Vidarbha Landscape, Maharashtra, India”. The exercise aimed to cover an area of 399.98 km2 of the entire sanctuary. The objective of Phase IV Monitoring is to estimate the minimum number of tigers in the sanctuary using Spatially-Explicit-Capture-Recapture Sampling and density estimation of prey base using Distance Sampling. 45 pairs of camera traps were placed in the forested area of Painganga Wildlife Sanctuary following a sampling grid of 2 sq. km. in one block. The camera traps were active for 30 days yielding a sampling effort of 1722 trap nights of data which is used for further analysis. The minimum number of tigers and leopards individuals identified are 2 and 10 respectively. Tiger density per 100 sq. km. based on the Spatially Explicit Capture-Recapture (SECR) model could not be estimated due to low sample size while that of leopards based on the same method was 3.86 (SE ±0.165). To estimate prey density, 66 line-transects were laid randomly all over the division and were sampled 7 replicates during the sampling period, with a total walking effort of 924 km. The observations include Chital (Axis axis), Sambar (Rusa unicolor), Nilgai (Boselaphus tragocamelus), Chousingha (Tetracerus quadricornis), Langur (Semnopithecus sp), Wild Boar (Sus scrofa), Chinkara (Gazella bennettii), Blackbuck (Antilope cervicapra), Indian Hare (Lepus nigricollis) and Peafowl (Pavo cristatus). As per the observations, Nilgai (n = 236) is the most observed species followed by Langur, Chital, and Wild Boar. The overall prey density of Painganga WLS is 35.142 (SE ± 4.2723). Due to a low number of observations density estimation was not carried out for Chousingha, Chinkara, Blackbuck, Indian Hare, Peafowl, Sambar. To study the activity, we used the camera trap images. The times recorded on camera trap photos provide information on the period during the day that a species is most active. Species active at the same periods may interact as predator and prey, or as competitors. Sensors that record active animals (e.g. camera traps) build up a record of the distribution of activity over the day. Records are more frequent when animals are more active and less frequent or absent when animals are inactive. The area under the distribution of records thus contains information on the overall level of activity in a sampled population. We used IDW (Inverted distance weighted) to map the intensive area used by different animal species.Item Status of tigers, co-predator and prey in Navegaon Nagzira Tiger Reserve (NNTR) - 2021(Maharashtra Forest Department and Wildlife Institute of India, 2022) Habib, Bilal Habib, B., Nigam P., Ramanujam, M., Pate, P., Singh, K., Bhalavi, S. B., Bhandari, A. and Akshay, J. Kanishka; Nigam, P.; Ramanujam, M.; Pate, P.; Singh, K.; Bhalavi, S.B.; Bhandari, A.; Kanishka, Akshay J.The Phase IV monitoring for the NNTR core and buffer was conducted from December 2020 – March 2021 as part of the project “Long term Monitoring of Tiger, Co-predator and their Prey in Tiger Reserves and other Tiger Bearing Areas of Vidarbha Maharashtra”. The field site for this exercise was Navegaon-Nagzira Tiger Reserve. The core and buffer areas of the tiger reserve were covered under this exercise. The objective of Phase IV Monitoring is to estimate the minimum number of tigers in the reserve using Capture-Recapture Sampling and density estimation of prey base using Distance Sampling.518 camera traps were placed in the core and buffer area of NNTR following a sampling grid of 2.01 sq. km in two blocks. An average camera trapping survey of 33 days in each block (Nagzira and Navegaon) with a sampling effort of 15,692 trap nights yielded data used for further analysis. Tiger density per 100 km2 based on the Spatially Explicit Capture-Recapture (SECR) model was 0.64 in the Navegaon-Nagzira Tiger Reserve while that of leopards based on the same method was 8.21. To estimate prey density, 172 line-transects were sampled 7 times during the sampling period, with a total walking effort of 2382 km. The individual densities in Nagzira and Navegaon Core for Sambar, Chital, Nilgai, Wild pig, and Gaur were estimated to be 1.26 ± 0.39, 8.89 ± 1.77, 9.14 ± 1.94, 8.27 ± 4.85, 5.50 ± 1.08 and 0.56 ± 0.25, NA, 10.42 ± 2.61, NA, 5.93 ± 1.68 respectively whereas the individual density estimates for Nagzira and Navegaon buffer for Sambar, Chital, Nilgai, Wild pig, and Gaur were 0.15 ± 0.13, 10.29 ± 1.96, 7.13 ± 1.43, 13.92 ± 8.29, NA and 0.49 ± 0.18, 7.61 ± 2.15, 11.75 ± 1.97, 12.03 ± 8.12, NA respectively. To study space use patterns and activity we used camera-trapping data from both core and buffer areas of Navegaon-Nagzira Tiger Reserve. Camera trap locations with the number of captures of each species were modeled in a GIS domain using IDW (Inverse distance weighted) interpolation technique to generate spatially explicit capture surfaces. The times recorded on camera trap photos provide information on the period during the day that a species is most active. Species active at the same periods may interact as predator and prey, or as competitors. Sensors that record active animals (e.g. camera traps) build up a record of the distribution of activity over the day. Records are more frequent when animals are more active and less frequent or absent when animals are inactive. The area under the distribution of records thus contains information on the overall level of activity in a sampled population. Species distribution was mapped seasonally using direct sighting data of wild ungulates from all the three seasons i.e. from winter 2019 to monsoon 2020 that was collected through regular patrolling using the MSTrIPES, a patrolling protocol mandated by NTCA to use in tiger reserves. MaxEnt, ArcGIS software was used for data preparation and final analysis. Factors that influence species distributions and habitat selection are of great importance to researchers and managers of wildlife. Here we used habitat variables namely: Land use Land cover (LULC), Digital Elevation Model (DEM), slope, aspect, stream delineation (Distance to streams), distance to the village, distance to road, distance to the railway line, and distance to the waterhole.