C omm u n fi c a tt fi o n D fi s tt r fi b u tt fi o n p a tt tt e r n , p o p u l a tt fi o n e s tt fim a tt fi o n a n d tt h r e a tt s tt o tt h e I n d fi a n P a n g o l fi n M a n fi s c r a s s fi c a u d a tt a (M amm a l fi a : P h o l fi d o tt a : M a n fi d a e ) fi n a n d a r o u n d P fi r L a s u r a N a tt fi o n a l P a r k , A z a d J amm u & K a s hm fi r , P a k fi s tt a n F a r a z A k r fim , T a r fi q M a hm o o d , R fi a z H u s s a fi n , S fi d d fi q a Q a s fim & Im a d -u l -d fi n Z a n g fi 2 6 M a r c h 2 0 1 7 | V o l . 9 | N o . 3 | P p . 9 9 2 0 -9 9 2 7 1 0 . 1 1 6 0 9 / j o tt . 2 9 1 4 . 9 . 3 . 9 9 2 0 -9 9 2 7 T h r e a tt e n e d T a x a T h e J o u r n a l o f T h r e a tt e n e d T a x a fi s d e d fi c a tt e d tt o b u fi l d fi n g e v fi d e n c e f o r c o n s e r v a fi o n g l o b a l l y b y p u b l fi s h fi n g p e e r -r e v fi ew e d a r fi c l e s o n l fi n e e v e r y m o n tt h a tt a r e a s o n a b l y r a p fi d r a tt e a tt www . tt h r e a tt e n e d tt a x a . o r g. A l l a r fi c l e s p u b l fi s h e d fi n J o T T a r e r e g fi s tt e r e d u n d e r C r e a fi v e C omm o n s A tt r fi b u fi o n 4 . 0 I n tt e r n a fi o n a l L fi c e n s e u n l e s s o tt h e rw fi s e m e n fi o n e d . J o T T a l l ow s u n r e s tt r fi c tt e d u s e o f a r fi c l e s fi n a n y m e d fi um , r e p r o d u c fi o n , a n d d fi s tt r fi b u fi o n b y p r o v fi d fi n g a d e q u a tt e c r e d fi tt tt o tt h e a u tt h o r s a n d tt h e s o u r c e o f p u b l fi c a fi o n .O P E N A C C E S S P a r tt n e r www . tt h r e a tt e n e d tt a x a . o r g I S S N 0 9 7 4 -7 9 0 7 ( O n l fi n e ) | I S S N 0 9 7 4 -7 8 9 3 ( P r fi n tt ) We recovered 12 dead pangolins and 10 jackets of scales. Furthermore, 111 live captures, 313 killing and selling of 26kg scales were reported by the local community. Groups involved in killing of Indian Pangolin included local hunters (90.3%), farmers (8.2%) and labours (1.5%). We propose more studies should be carried out to improve the baseline data on the ecology of species and awareness education programs both by government and private sectors, to educate local communities living in and around Pir Lasura National Park for getting support for the conservation of the Indian Pangolin.
Scats are often used to study ecological parameters of carnivore species. However, field identification of carnivore scats, based on their morphological characteristics, becomes difficult if many carnivore species are distributed in the same area. We assessed error rates in morphological identification of five sympatric carnivores’ scats in north-eastern Himalayan region of Pakistan during 2013–2017. A sample of 149 scats were subjected to molecular identification using fecal DNA. We used a confusion matrix to assess different types of errors associated with carnivore scat identification. We were able to amplify DNA from 96.6% (n = 144) of scats. Based on field identification of carnivore scats, we had predicted that out of 144 scats: 11 (7.6%) scats were from common leopard, 38 (26.4%) from red fox, 29 (20.1%) from Asiatic jackal, 37 (25.7%) from yellow throated martin, 14 (9.7%) from Asian palm civet and 15 (10.4%) from small Indian civet. However, molecular identification revealed and confirmed nine were scats (6.24%) from common leopard, 40 (27.8 %) from red fox, 21 (14.6%) from Asiatic jackal, 45 (31.25%) from Asian palm civet, 12 (8.3%) scats from small Indian civet, while 11 scats (7.6%) were found from Canis lupus Spp., three (2%) from dog, one (0.7 %) scat sample from porcupine, and two (1.4%) from rhesus monkey. Misidentification rate was highest for Asian palm civet (25.7%), followed by red fox (11.1%) and Asiatic jackal (9.7%) but least for common leopard scats (4.2%). The results specific to our study area concur with previous studies that have recommended that carnivore monitoring programs utilize molecular identification of predator scats. Using only morphological identification of scats can be misleading and may result in wrong management decisions.
Knowledge of a predator's diet is important for understanding its ecology and for predicting its influence on the dynamics of prey populations. We investigated the spatial distribution and diet composition of the leopard (Panthera pardus) in the northeastern Himalayan region of Pakistan. We used molecular scatology technique to identify scats of common leopard collected from the field. The leopard was recorded at 30 different surveyed sites with an elevational range between 757-1891 m a.s.l. Its diet comprised 17 prey species, including both wild and domestic prey. Frequency of occurrence of wild prey was approximately 35% of the total leopard diet, while domestic prey contributed approximately 59%. The dietary niche breadth of the leopard was found to be broad during the spring but narrow during the winter. Prey species diversity index was high during summer but low during winter. Results of the current study highlight that common leopard is mainly subsisting on domestic animals, which may result in negative human-leopard interactions. We suggest that local communities should be educated to conserve the leopard and its wild prey species.
Niche overlap between sympatric species can indicate the extent of interspecific competition. Sympatric competing species can exhibit spatial, temporal, and dietary adjustments to reduce competition. We investigated spatial, temporal, and dietary niche overlap of sympatric Asian palm civet (Paradoxurus hermaphroditus) and small Indian civet (Viverricula indica), in and around Pir Lasura National Park, Pakistan. We used remote cameras to determine the frequency and timing of detections to estimate spatial and temporal overlap, and prey remains from scats to estimate dietary overlap. We collected scat samples of Asian palm civet (n = 108) and small Indian civet (n = 44) for dietary analysis. We found low spatial (Oij = 0.32) and temporal (Δ = 0.39) overlap, but high dietary niche overlap (0.9) between these two civet species. Both civet species were detected at only 11 camera sites and small Indian civets were detected most frequently during 2:00–5:00 h and 8:00–10:00 h, whereas Asian palm civets detections were greatest during 20:00–2:00 h. The overall niche breadth of Asian palm civet was slightly narrower (L = 9.69, Lst = 0.31) than that of the small Indian civet (L = 10, Lst = 0.52). We identified 27 dietary items (15 plant, 12 animal) from scats of Asian palm civet including Himalayan pear (Pyrus pashia; 27%), Indian gerbil (Tatera indica; 10%), Rhesus monkey (Macaca mulatta; 4%), and insects (5%). Scat analysis of small Indian civets revealed 17 prey items (eight plant, nine animal) including Himalayan pear (24%), domestic poultry (15%), Indian gerbil (11%), and house mouse (Mus musculus; 5%). Both civet species consumed fruits of cultivated orchard species. Spatial and temporal partitioning of landscapes containing diverse foods appears to facilitate coexistence between Asian palm civets and small Indian civets.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.