Drivers of Indian pangolin (Manis crassicaudata) mortality in Central and Western Pakistan
Author:
Ahmad Tariq1ORCID, Li Bo12
Affiliation:
1. College of Wildlife and Protected Area , 47820 Northeast Forestry University , Harbin 150040 , China 2. State Forestry and Grassland Administration , Detecting Center of Wildlife Resources , Harbin , China
Abstract
Abstract
The Indian pangolin (Manis crassicaudata) is the only member of the order Pholidota found in Pakistan. The current study was designed to compare the mortality rate and causes of mortality of Indian pangolin from eight districts, i.e., four from Khyber Pakhtunkhwa and four from Punjab, Pakistan during 2019–2022. Data were collected by using self-designed questionnaires (n = 340) and social media reports. Most of the data were collected from Facebook 53 %, followed by Instagram (22 %), WhatsApp (17 %), and OLX (10 %). Mean and standard deviation were computed for district-wise killing (mean ± SD 15.25 ± 10.21), season-wise killing (mean ± SD 30.50 ± 9.8), month wise killing (mean ± SD 10.38 ± 4.19) and area wise killing (mean ± SD 40.7 ± 17.6). The killing of 179 Indian pangolins was recorded in four districts of Khyber Pakhtunkhwa, while in Punjab 59 Indian pangolins were killed. According to interviewees, 33 % of the mortality of Indian pangolin was caused by illegal killing followed by human settlement (17 %), agricultural practices (13 %), mites and ticks (11 %), natural mortality (8 %), accidents (7 %), myth (6 %), and floods (5 %). District wildlife departments of Khyber Pakhtunkhwa and Punjab arrested many people (KPK n = 83, Punjab n = 57) during 2019–2022. The highest fines were imposed by the Chakwal Wildlife Department, i.e., 20,000–60,000 PKR along with 1–4 months of imprisonment sentences. Eight dead pangolins were recovered among those six were male (75 %) and two were female (25 %). Principal component analysis (PCA) showed that PC appears to be influenced the most by mites and ticks (MT), myth, natural mortality (NM) and “flood” given their strong loadings. PC2 was heavily influenced by killed for illegal trade (KFIT), accident, and agriculture practices (AP) due to their significant negative loadings. PC3 has NM and AP as the dominant variables, KFIT, also playing a role but in the opposite direction. PC4 showed strong influences from NM (negative) and flood (positive). We concluded that the illegal killing of Indian pangolin is very high. Conservation efforts are crucial to protect these unique and endangered creatures.
Funder
Survey and Regulation of Rare and Endangered Species and Industry Standards
Publisher
Walter de Gruyter GmbH
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