Ethnobotany of Western Himalayan Region, Azad Jammu and Kashmir, Pakistan

Author(s):  
Muhammad Shoaib Amjad ◽  
Rubab Khurshid ◽  
Arshad Mehmood Abbasi ◽  
Muhammad Altaf ◽  
Huma Qureshi ◽  
...  
2020 ◽  
Author(s):  
Ajit Kumar ◽  
Bhim Singh ◽  
Subhashree Sahoo ◽  
Kumudani Bala Gautam ◽  
Sandeep Kumar Gupta

AbstractKashmir musk deer, KMD (Moschus cupreus) is one the most threatened species reported from the Himalayan region of Kashmir, Pakistan and Afghanistan. A comprehensive and reliable distribution range of musk deer is still lacking. Recently, a molecular study confirmed the presence of KMD in Mustang in Nepal, west of Annapurna Himalayas. Here, we investigated the phylogenetic relationship of musk deer from Jammu and Kashmir (J&K), Kedarnath Wildlife Sanctuary (KWLS), and Nanda Devi Biosphere Reserve (NDBR), Uttarakhand region, India based on mitochondrial control region. The Bayesian phylogenetic analysis indicated a close genetic relationship between samples from J&K, KWLS and NDBR with identified lineages of KMD from Nepal with high posterior probabilities (PP∼100). It confirmed that the musk deer lineage from the Uttarakhand region of KWLS (1025-3662 m) and NDBR (1800-7817 m) to be of KMD (M. cupreus) and hence a distinct Evolutionary Significant Unit (ESU). Besides, as per the IUCN database, the Western Himalayan region also holds the population of M. leucogaster and M. chrysogaster. Hence, we suggest extensive sampling for proper identification and validation of the geographic limits of musk deer species. We report for the first time the existence of KMD from the Uttarakhand region that we recommend to be updated in the IUCN database. It will assist in the effective conservation and management of this enigmatic endangered species.


Author(s):  
S. Mondal ◽  
M. Sivakandan ◽  
S. Sarkhel ◽  
M.V. Sunil Krishna ◽  
Martin G. Mlynczak ◽  
...  

2010 ◽  
Vol 62 (4) ◽  
pp. 1245-1252 ◽  
Author(s):  
Harpreet Kaur Kanwal ◽  
Karan Acharya ◽  
G. Ramesh ◽  
M. Sudhakara Reddy

2017 ◽  
Vol 30 (19) ◽  
pp. 7777-7799 ◽  
Author(s):  
Jitendra Kumar Meher ◽  
Lalu Das ◽  
Javed Akhter ◽  
Rasmus E. Benestad ◽  
Abdelkader Mezghani

Abstract The western Himalayan region (WHR) was subject to a significant negative trend in the annual and monsoon rainfall during 1902–2005. Annual and seasonal rainfall change over the WHR of India was estimated using 22 rain gauge station rainfall data from the India Meteorological Department. The performance of 13 global climate models (GCMs) from phase 3 of the Coupled Model Intercomparison Project (CMIP3) and 42 GCMs from CMIP5 was evaluated through multiple analysis: the evaluation of the mean annual cycle, annual cycles of interannual variability, spatial patterns, trends, and signal-to-noise ratio. In general, CMIP5 GCMs were more skillful in terms of simulating the annual cycle of interannual variability compared to CMIP3 GCMs. The CMIP3 GCMs failed to reproduce the observed trend, whereas approximately 50% of the CMIP5 GCMs reproduced the statistical distribution of short-term (30 yr) trend estimates than for the longer-term (99 yr) trends from CMIP5 GCMs. GCMs from both CMIP3 and CMIP5 were able to simulate the spatial distribution of observed rainfall in premonsoon and winter months. Based on performance, each model of CMIP3 and CMIP5 was given an overall rank, which puts the high-resolution version of the MIROC3.2 model [MIROC3.2 (hires)] and MIROC5 at the top in CMIP3 and CMIP5, respectively. Robustness of the ranking was judged through a sensitivity analysis, which indicated that ranks were independent during the process of adding or removing any individual method. It also revealed that trend analysis was not a robust method of judging performances of the models as compared to other methods.


Check List ◽  
2014 ◽  
Vol 10 (2) ◽  
pp. 317 ◽  
Author(s):  
Gh. Hassan Dar ◽  
Akhtar H. Malik ◽  
Anzar A. Khuroo

The current paper provides a taxonomic inventory of the vascular plant species collected by the authors during the last two decades from the Rajouri and Poonch districts, located along the Pir Panjal range in the Indian Himalayan State of Jammu and Kashmir. The inventory records a total of 352 species, which belong to 270 genera in 83 families. Of the total taxa, the angiosperms are represented by 331 species in 253 genera and 77 families; gymnosperms by 12 species in 9 genera and 3 families; and pteridophytes by 9 species in 7 genera and 3 families. Asteraceae is the largest family, contributing 42 species; while Artemisia is the largest genus, with 5 species. The inventory is expected to provide baseline scientific data for further studies on plant diversity in these two border districts, and can be used to facilitate the long-term conservation and sustainable use of plant resources in this Himalayan region.


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