Results 61 to 70 of about 378 (153)

Snow Leopard and Himalayan Wolf: Food Habits and Prey Selection in the Central Himalayas, Nepal.

open access: yesPLoS ONE, 2017
Top carnivores play an important role in maintaining energy flow and functioning of the ecosystem, and a clear understanding of their diets and foraging strategies is essential for developing effective conservation strategies.
Madhu Chetri, Morten Odden, Per Wegge
doaj   +1 more source

Estimation of Glycogen Content of Nematodes from Ovis Bharal, Aurangabad Region (M.S.), India [PDF]

open access: yes, 2010
In the present work, focus has been given to understand the mode of carbohydrate metabolism in parasites. The study of glycogen levels furnish the basic information about substrates and their intermediatory metabolites by which it is possible to get fair
Baba Jadhav, Tushar Dhondge, Sujeet Jamdar* and
core  

Who's the boss? Understanding the spatial relationship between snow leopard and Eurasian lynx in southern Mongolia

open access: yesWildlife Biology, Volume 2025, Issue 4, July 2025.
Interspecific competition, a fundamental ecological process characterized by negative interactions between species, plays a vital role in shaping ecological communities. Despite the co‐occurrence of the snow leopard Panthera uncia and the Eurasian lynx Lynx lynx across vast landscapes in Asia, their interactions remain poorly understood. In this study,
Choidogjamts Byambasuren   +5 more
wiley   +1 more source

ADDITIONAL RANGE INHABITED BY BHARAL PSEUDOIS-NAYAUR AND SNOW LEOPARD PANTHERA-UNCIA IN NEPAL

open access: yes, 1984
(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
Hall, P M, Cox, J H
openaire   +2 more sources

Pre‐Monsoon Habitat Preference and Spatial Overlap Between Blue Sheep (Pseudois nayaur) and Livestock in Dhorpatan Hunting Reserve, Nepal 尼泊尔多尔帕坦狩猎保护区季风前岩羊 (Pseudois nayaur) 与家畜的栖息地偏好及空间重叠

open access: yesWildlife Letters, Volume 3, Issue 2, Page 73-83, June 2025.
Blue sheep in Dhorpatan Hunting Reserve prefer alpine grasslands at 3800–4200 m on south‐facing slopes near water resources, favoring areas with low tree cover and dense ground cover, particularly rhododendrons, junipers, and Cyperaceae grasses. Their habitat significantly overlaps with livestock.
Amit Adhikari   +4 more
wiley   +1 more source

IX.—On the Zoological Position of the Bharal, or Blue-Sheep, of Tibet

open access: yes, 1880
(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
openaire   +2 more sources

Establishing a protected area network in Xinlong with other effective area‐based conservation measures

open access: yesConservation Biology, Volume 38, Issue 4, August 2024.
Abstract Protected areas (PAs) are pivotal to biodiversity conservation, yet their efficacy is compromised by insufficient funding and management. So‐called other effective area‐based conservation measures (OECMs) present a paradigm shift and address PA limitations.
Xing Chen   +6 more
wiley   +1 more source

Table_1_Maintaining the native gut microbiota of bharal (Pseudois nayaur) is crucial in ex situ conservation.DOCX

open access: yes
As wildlife protection continue to strengthen, research on the gut microbiota of wildlife is increasing. Carrying out conservation and research on endangered species in the Qinghai Tibet Plateau plays an important role in global biodiversity conservation.
Bin Li (39349)   +8 more
core   +1 more source

Human–wildlife coexistence on the Qinghai–Tibet Plateau: The correlation between Tibetan Buddhist monasteries and avian community composition

open access: yesPeople and Nature, Volume 6, Issue 2, Page 573-585, April 2024.
Abstract Tibetan Buddhist monasteries are widely distributed throughout the Qinghai–Tibet Plateau and are significant locations for human–wildlife coexistence. Given the significance of their historical and contemporary social influence, it is crucial to ascertain whether there exists a non‐negligible correlation between these monasteries and their ...
Gesang Wangjie   +6 more
wiley   +1 more source

Image preprocessing‐based ensemble deep learning classification of diabetic retinopathy

open access: yesIET Image Processing, Volume 18, Issue 3, Page 807-828, 28 February 2024.
This study introduces a novel ensemble deep learning approach for diabetic retinopathy (DR) classification on fundus images. By training diverse convolutional neural network (CNN) models using different image preprocessing methods, our ensemble outperforms individual architectures, achieving superior accuracy and Cohen's Kappa coefficient.
Peter Macsik   +4 more
wiley   +1 more source

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