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.
The Endangered Indian pangolin Manis crassicaudata, a burrowing, armoured mammal, plays an important role in the food web by consuming insects and termites. In Pakistan the species’ range includes the 22,000 km2 Potohar Plateau, where it is under pressure from illegal hunting for its scales and requires conservation attention. We used a geographical information system to quantify the range of the Indian pangolin on the Plateau and to compare this with the range estimated in the IUCN Red List assessment of the species. We found that the species occupies c. 89% of the Plateau, in eight of the 10 protected areas, compared with the IUCN estimate of 71%, and we recorded the species at 40 locations on the Plateau outside the range predicted by the IUCN assessment. We collected data on the illegal capture and killing of the species, recording 412 individuals that had been killed at 48 locations between January 2011 and the end of April 2013. The highest number of killings was recorded in Chakwal District (n = 156, at 13 sites) followed by the Attock District (n = 149, at eight sites). Although the Indian pangolin's range on the Potohar Plateau is c. 18% larger than that estimated in the IUCN assessment, the species is under pressure from illegal killing and requires urgent conservation measures to save the small remaining population and avoid the extirpation of this vital insectivorous predator from the area.
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.
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