scholarly journals Spatial Distribution and Ethno-botanical Aspect of Edible Plant from Foothill Region of Dhauladhar Range, Kangra Valley, North-Western Himalaya, India

2021 ◽  
Vol 12 (1-2) ◽  
Author(s):  
Praveen Kumar Kumar

ABSTRACT Traditional medicine is a part of health care practice by local inhabitants residing in the peculiar landscape of the Himalaya. The edible plant species are used to fulfill dietary requirements as well as to cure various ailments. The present study represents the diversity, distribution and ethnobotanical aspect of wild fruit species from the foothill region of Dhauladhar Range, Kangra Valley, northwestern Himalaya, India. Total 37 edible plant species belong to 28 genera and 20 families were noticed, where family Rosaceae, Rutaceae and Muraceae are the most dominant. The GIS-based classification showed a high diversity of the edible plants in the south-eastern part of the study area, while isolated patches in low and high plant diversity reveal the effect of the habitat diversity and regional microclimate. The studies based upon indigenous knowledge are very important for searching for new potential and resource management. The data collected for the potential use and the spatial distribution will provide new insight into modern research for sustainable management of resources.

2021 ◽  
Vol 21 (1) ◽  
pp. 609-618
Author(s):  
R.K. Maikhuri ◽  
Dalbeer S. Parshwan ◽  
Pushpa Kewlani ◽  
Vikram S. Negi ◽  
Sandeep Rawat ◽  
...  

2018 ◽  
Vol 6 (4) ◽  
pp. 1-27
Author(s):  
Naveen Ch. Pandey ◽  
G.C. Joshi ◽  
Lalit M. Tewari ◽  
Y.P.S. Pangtey

The Himalaya is well recognized for its bio-physical diversity and socio-cultural heritage, traditional systems and an ample quantity of indigenous knowledge. The study was conducted with the help of Participatory Rural Appraisal (PRA) tool to document the diversity of fodder plants of Betalghat Block of Nainital District (Western Himalaya). Total 210 fodder plants species belonging to 70 families, 164 genera of different habits such as trees (35%), shrubs (31%), herbs (25%), and climbers (9%), were recorded. Out of 70 families, 12 dominant families were Poaceae (18 species), followed by Fabaceae (16 species), Moraceae (10 species), Rosaceae (10 species), Asteraceae (8 species), Euphorbiaceae (7 species), Mimosaceae (6 species), Caesalpinaceae (5 species), Ranunculaceae (5 species), Rhamnaceae (5 species), Urticaceae (5 species) and Rubiaceae (5 species). Of the total recorded species, 41% of the species were used during winter days, 38% during summer and 21% throughout the year. For each species, scientific and vernacular names, multipurpose uses (Fuel, medicinal, timber, agricultural tools, religious and fiber) were used. For the conservation of fodder plant species prioritization, mass multiplication with afforestation, reforestation and forest rehabilitation must be done.International Journal of EnvironmentVolume-6, Issue-4, Sep-Nov 2017, page: 1-27


1984 ◽  
Vol 15 (2) ◽  
pp. 211-230 ◽  
Author(s):  
S. Linder-Pelz ◽  
S. Levy ◽  
A. Tamir ◽  
T. Spenser ◽  
L. M. Epstein

2019 ◽  
Vol 2 (1) ◽  
pp. 27-34
Author(s):  
Richard Moreno ◽  
◽  
Cristinel Ștefănescu ◽  
Beatrice Gabriela Ioan ◽  
Mariana Cuceu ◽  
...  

Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 232
Author(s):  
Disha Raghuvanshi ◽  
Rajni Dhalaria ◽  
Anjali Sharma ◽  
Dinesh Kumar ◽  
Harsh Kumar ◽  
...  

Ethnomedicinal plants have a significant role in the lives of people of rural and tribal areas. Thousands of medicinal plant species are used to treat various diseases, including jaundice, and are considered an important therapeutic resource to minimize these diseases. Jaundice (icterus) is a chronic disease that occurs when the amount of bilirubin in the blood increases. This review describes different ethnomedicinal plants used for curing jaundice by tribal and rural people of Himachal Pradesh. The study reveals 87 ethnomedicinal plant species belonging to 51 different families, which are used for treating jaundice in Himachal Pradesh. These plants are arranged in a systematic way, which includes a description of their common name, botanical name, along with its family, plant parts used, region, and mode of use in tabulated form. Some of the plant extracts have already been explored for their phytochemical and pharmacological significance and proved their potential in the preparation of new medicines or drugs against the treatment of jaundice. This review is an attempt to highlight the indigenous knowledge of medicinal plants, which are specifically used for the treatment of jaundice. The data mentioned in the present review is compiled from various sources like existing literature, books, Google Scholar, and Scopus publications. Among all the observed plant species, most used medicinal plants for the treatment of jaundice include Justicia adhatoda, Emblica officinalis, Ricinus communis, Saccharum officinarum, Terminalia chebula, Berberis aristata, Cuscuta reflexa, and Tinospora cordifolia. Plants that are mostly utilized for the treatment of jaundice need to be scientifically validated by pharmacological analysis and should be subsequently used for the preparation of new drugs, which may prove far more beneficial than the existing one.


2021 ◽  
pp. 1-16
Author(s):  
Bjørn Hofmann

Abstract Although efficiency is a core concept in health economics, its impact on health care practice still is modest. Despite an increased pressure on resource allocation, a widespread use of low-value care is identified. Nonetheless, disinvestments are rare. Why is this so? This is the key question of this paper: why are disinvestments not more prevalent and improving the efficiency of the health care system, given their sound foundation in health economics, their morally important rationale, the significant evidence for a long list of low-value care and available alternatives? Although several external barriers to disinvestments have been identified, this paper looks inside us for mental mechanisms that hamper rational assessment, implementation, use and disinvestment of health technologies. Critically identifying and assessing internal inclinations, such as cognitive biases, affective biases and imperatives, is the first step toward a more rational handling of health technologies. In order to provide accountable and efficient care we must engage in the quest against the figments of our minds; to disinvest in low-value care in order to provide high-value health care.


2011 ◽  
Vol 6 (4) ◽  
pp. 179-185 ◽  
Author(s):  
Michelle O'Reilly ◽  
Nicola Parker ◽  
Ian Hutchby

Using video to facilitate data collection has become increasingly common in health research. Using video in research, however, does raise additional ethical concerns. In this paper we utilize family therapy data to provide empirical evidence of how recording equipment is treated. We show that families made a distinction between what was observed through the video by the reflecting team and what was being recorded onto videotape. We show that all parties actively negotiated what should and should not go ‘on the record’, with particular attention to sensitive topics and the responsibility of the therapist. Our findings have important implications for both clinical professionals and researchers using video data. We maintain that informed consent should be an ongoing process and with this in mind we present some arguments pertaining to the current debates in this field of health-care practice.


Nematology ◽  
2007 ◽  
Vol 9 (1) ◽  
pp. 131-142 ◽  
Author(s):  
Maria Viketoft

AbstractThis study describes the nematode community in a semi-natural grassland and investigates if certain individual plant species can cause a spatial structure in the nematode fauna. Nematode communities were analysed in soil under Trifolium repens, Festuca ovina and from randomly taken samples. Seventy-nine nematode genera were identified. Some of the species found have not previously been reported from Sweden. Multivariate analysis separated the nematode communities associated with the two selected plant species from each other, and several individual nematode genera differed in abundance between the plant species. Trifolium repens supported greater populations of the plant feeder Tylenchorhynchus and the bacterial feeders Eucephalobus, Chiloplacus, Eumonhystera and Panagrolaimus, but fewer numbers of the bacterial feeder Achromadora. Soil under F. ovina contained more nematodes from the family Alaimidae. A comparison is given with other studies from grassland systems in Sweden.


2021 ◽  
pp. 285-293
Author(s):  
Anurag Sharma ◽  
Deepak Swami ◽  
Nitin Joshi

Climate modelling and prediction studies play crucial role in identifying suitable mitigation techniques to minimize or avoid adverse consequences of climate extremes. The accurate spatially and temporally distributed temperature and rainfall dataset are key components in climate prediction studies. Reanalysis datasets provide better spatial and temporal coverage than observational datasets; therefore, reanalysis datasets are widely used for global and regional studies. However, before using the reanalysis dataset in climate modelling studies, it is crucial to compare the robustness and accuracy of the reanalysis dataset with the observational dataset. In this study, daily gridded maximum and minimum temperature datasets of Indian Meteorological Department (IMD) (1°?×?1°) and Sheffield (0.25°×0.25°) are compared using 62-years data i.e 1951-2012. The comparison is based on differences in spatial distribution pattern, probability distribution functions plots and box-plots of the respective gridded dataset. The spatial distribution of grid-wise averaged maximum and minimum temperature dataset generally compare well across pan India in both IMD and Sheffield; however, the significant differences are observed over western Himalaya (WH) and northeast (NE) region. The probability distribution of the pooled mean minimum temperature dataset of IMD is found significantly different from Sheffield using the two-sample Kolmogorov-Smirnov (KS) test. This study will be helpful for researchers who are planning to use Sheffield gridded temperature dataset for climate modelling studies.


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