115 resultados para Himalayas


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The greater Himalayan region, including the Tibetan plateau in the north and the Gangetic plain in the south, served as the principal prehistoric thoroughfare for the peopling of East and Southeast Asia. The descendants of ancient migrants through this region ultimately settled lands as far away as New Zealand, Madagascar and the Americas. Several of the keys to understanding the ethnogenesis of human diversity in Asia include the Father Tongue correlation, possible refugia during the Last Glacial Maximum and the hypothesis that language families may have arisen as the result of demographic bottlenecks in prehistory. Ethnolinguistically informed inferences based on Asian Y chromosomal phylogeography permit a reconstruction of episodes of ethnolinguistic prehistory which lie beyond the linguistic event horizon, i.e. beyond the time depth empirically accessible to historical linguistics. The origins of the language families which make up the hypothetical Uralo-Siberian and East Asian linguistic phyla are argued to have lain in the northeastern corner of the Indian subcontinent. Several other Asian language families are shown to be tied to the subcontinent. The Centripetal Migration model, which assumes that migrations in quest of a better life unfolded in both centrifugal and centripetal directions with respect to technologically more advanced centres of civilisation, is opposed to the Farming Language Dispersal theory, which assumes that all linguistic dispersals were driven by agricultural centrifugal migration.

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The aim of this paper is to find out if there is a significant difference in using NDVI dataset processed by harmonic analysis method to evaluate its dynamic and response to climate change, compared with the original data.

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Increased market integration and commercialization of traditional agriculture in the Himalayas is part of a development strategy towards growth and better standard of living. More than 97 percent households depend upon agricultural and allied activities for livelihood which constitutes 30 percent of the household income. Given the importance of commercialization of agriculture to improve the productivity, per capita income and thereby the standard of living in the Himalayas, we examine the factors affecting the commercialization of agriculture on the basis of primary survey data. The results reveal that the land size, gender of the household head, livestock assets, ethnicity, education and location are important determinants of commercialization. Although commercialization of agriculture is considered as stimulated private-sector activity, public policy is essential to facilitate driving forces viz., trade and market reforms, rural infrastructure, and the institutional framework for legal and contractual arrangements between farmers and processors.

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Mode of access: Internet.

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Mode of access: Internet.

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Aerosol black carbon (BC) mass concentrations ([BC]), measured continuously during a multi-platform field experiment, Integrated Campaign for Aerosols gases and Radiation Budget (ICARB, March-May 2006), from a network of eight observatories spread over geographically distinct environments of India, (which included five mainland stations, one highland station, and two island stations (one each ill Arabian Sea and Bay of Bengal)) are examined for their spatio-temporal characteristics. During the period of study, [BC] showed large variations across the country, with values ranging from 27 mu g m(3) over industrial/urban locations to as low as 0.065 mu g m(-3) over the Arabian Sea. For all mainland stations, [BC] remained high compared to highland as well as island stations. Among the island stations, Port Blair (PBR) had higher concentration of BC, compared to Minicoy (MCY), implying more absorbing nature of Bay of Bengal aerosols than Arabian Sea. The highland station Nainital (NTL), in the central Himalayas, showed low values of [BC], comparable or even lower than that of the island station PBR, indicating the prevalence of cleaner environment over there. An examination of the changes in the mean temporal features, as the season advances from winter (December-February) to pre-monsoon (March-May), revealed that: (a) Diurnal variations were pronounced over all the mainland stations, with all afternoon low and a nighttime high: (b) At the islands, the diurnal variations, though resembled those over the mainlands, were less pronounced; and (c) In contrast to this, highland station showed an opposite pattern with an afternoon high and a late night or early morning low. The diurnal variations at all stations are mainly caused by the dynamics of local Atmospheric Boundary Layer (ABL), At the entire mainland as well as island stations (except HYD and DEL), [BC] showed a decreasing trend from January to May, This is attributed to the increased convective mixing and to the resulting enhanced vertical dispersal of species in the ABL. In addition, large short-period modulations were observed at DEL and HYD, which appeared to be episodic, An examination of this in the light of the MODIS-derived fire count data over India along with the back-trajectory analysis revealed that advection of BC from extensive forest fires and biomass-burning regions upwind were largely responsible for this episodic enhancement in BC at HYD and DEL.