The spatio-temporal distribution status of snow leopard and reproducing females detection in Baltistan

The understanding the spatial distribution status and reproduction as well as individual identification and communication behaviour of an endangered species assessment is essential for the species population dynamics, human activities such as changes in land use, overgrazing, poaching, retaliatory killings and the fur trade are causing a rapid decline in the habitats of apex predators worldwide. Studying communication behaviours and observing cubs in their natural habitat present challenges. A comprehensive 8-year research project (2015–2023) in northern Pakistan utilized 139 motion-triggered cameras strategically placed to capture leopard behaviours documenting a total of 330 events within each study sites and recording videos of snow leopard cubs with their mother. Additionally, preliminary reproducing females snow leopard were observed across different study sites with 10 adult and sub-adult cubs, four reproducing females and three adult males snow leopard being identified. The first-time detection of rare photographic events like communication behaviour and activity using camera traps is significant tools for future conservation. The documentation of snow leopard reproductive behaviors in Northern Pakistan from 2015 to 2023 has broad implications for conservation and understanding of these magnificent creature.

Authors

Institutions

Publication Details

Journal
Discover Animals
Published
2024-12-20
DOI
https://doi.org/10.1007/s44338-024-00040-z
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The spatio-temporal distribution status of snow leopard and reproducing females detection in Baltistan

Rodney Jackson, Longcheng Fan, Muhammad Zaman, Muhammad Awais Rasool et al.
Discover Animals
Wildlife Ecology and Conservation
article

The spatio-temporal distribution status of snow leopard and reproducing females detection in Baltistan

Rodney Jackson, Longcheng Fan, Muhammad Zaman, Muhammad Awais Rasool, Yi Chen, Yixin Chen, Shafqat Hussain
article en

Abstract

The understanding the spatial distribution status and reproduction as well as individual identification and communication behaviour of an endangered species assessment is essential for the species population dynamics, human activities such as changes in land use, overgrazing, poaching, retaliatory killings and the fur trade are causing a rapid decline in the habitats of apex predators worldwide. Studying communication behaviours and observing cubs in their natural habitat present challenges. A comprehensive 8-year research project (2015–2023) in northern Pakistan utilized 139 motion-triggered cameras strategically placed to capture leopard behaviours documenting a total of 330 events within each study sites and recording videos of snow leopard cubs with their mother. Additionally, preliminary reproducing females snow leopard were observed across different study sites with 10 adult and sub-adult cubs, four reproducing females and three adult males snow leopard being identified. The first-time detection of rare photographic events like communication behaviour and activity using camera traps is significant tools for future conservation. The documentation of snow leopard reproductive behaviors in Northern Pakistan from 2015 to 2023 has broad implications for conservation and understanding of these magnificent creature.

Discover AnimalsVol. 1(1)
Central South University of Forestry and Technology (CN), Central South University (CN), Kunming Institute of Zoology (CN), Northeast Normal University (CN), College Summit (US), Hartford Financial Services (United States), Trinity College (US), University of Agriculture Faisalabad (PK)
Life in Land
Openalex Percentile: Top 76%
Wildlife Ecology and Conservation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.