Manuscript Abstract

OCCURRENCE PATTERNS AND POPULATION DENSITY OF BARKING DEER (MUNTIACUS VAGINALIS) IN THE SOUTHERN SLOPES OF HIMALAYA FOOTHILLS, PUNJAB, PAKISTAN
Habiba, M. Anwar, R. Khatoon, B. M. Khan, K. A. Nasir

1Department of wildlife Management, PMAS, Arid Agriculture University Rawalpindi, Pakistan

2Division of Biological Sciences, University of Montana 32 Campus Drive Missoula, MT 59812

3Department of Forestry and Wildlife Management, University of Haripur, Haripur

4Department of Botany, University of Swat, Swat

Corresponding Author: ume.habiba8@gmail.com
Page Number(s): 853-859
Published Online First: March 25, 2020
Publication Date: March 25, 2020
ABSTRACT

Barking deer is a small-sized cervid mammal and in Pakistan its population are limited to outer Himalayan foothill forests of Punjab Pakistan. They are usually associated with low but dense thorn scrub of Acacia modesta, Olea ferruginea and Zizyphus nummularia. Occupancy modelling was used to assess how environmental factors influence occurrence probabilities. The population parameters of barking deer were examined in Murree, Kotli-Sattian and Kahuta National Parks through direct visual observations and indirect signs of animal from 2015-2017. To estimate population density, distance sampling of the line transect data was employed. Mean population density was 0.27 individuals / km². The range of encounter rates in each study site was 0.04 to 0.43 per km of transect. Population density in summer was higher (0.43/km²) than in winter (0.36/km²), possibly due to the addition of new-borns in May. The barking deer is basically a solitary animal. This species is endangered in Pakistan and its population are declining. Conservation efforts with focus on protection of disturbance-free habitat for barking deer are recommended in the study area.

Keywords: Barking deer, Murree, Kotli Sattian Kahuta National Park, Occupancy modelling, Occurrence patterns, Population density
Open Access: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).


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