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The institution of taboo
and the local resource management and conservation
surrounding sacred natural sites in Uttarakhand, Central
Himalaya
Chandra Singh Negi
Assistant
Professor, Department of Zoology, L. S. M. Government Post
Graduate College, Pithoragarh,
Uttarakhand
–262502, India. E-mail:
csnsacred1@rediffmail.com
Accepted
31 May, 2010 |
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Social
taboos exist in invariably all cultures throughout the
world, and represent a class of informal institutions, where
traditional, religiously governed norms or taboo system
define the human behaviour. These taboos remain the prime
factor guiding their conduct towards the exploitation of the
natural resources. However, the singular role played by
these informal systems of taboo in conservation of
biodiversity has not been given its due importance. The
present
paper
attempts to render forth the salient aspect of conservation
borne out of the taboo system in practice surrounding the
sacred natural sites, principally the sacred forests, in the
state of Uttarakhand, Central Himalaya. The study brings
forth the fact that
although the potential of traditional natural resources
management for biodiversity conservation vis a vis the
institution of taboo within the state remains enormous, the
sustainability of these practices however is seriously
threatened. In fact, the dilution of the traditional beliefs
and associated taboos, principally borne out of the western
type education, along with social and economic factors,
underpinning traditional natural resources management
practices were found to be the greatest threat to the
sustainability of these practices. There is thus an urgent
need to investigate local perceptions of forest space and
landscape, biodiversity conservation and traditional
beliefs, and their significance for natural resources
management, towards understanding the changing values of
local people in relation to traditional protected areas,
such as sacred forests.
Key
words:
Conservation, culture, informal institutions, sacred
forests, social taboos, traditional knowledge-based systems.
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