An assessment of the environmental impact of large scale deer farming in Sarawak
Deer farming is one way of conservation and sustainable use of our natural resources. There are a number of large-scale deer farms with Sam bar and rusa deer belonging to both the government and private sectors in Sarawak. There is, however, a dearth of information on current practices in deer fa...
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2005
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my-unimas-ir.148372023-05-22T07:49:04Z An assessment of the environmental impact of large scale deer farming in Sarawak 2005 Wong, Thomas Kee Ung GE Environmental Sciences Deer farming is one way of conservation and sustainable use of our natural resources. There are a number of large-scale deer farms with Sam bar and rusa deer belonging to both the government and private sectors in Sarawak. There is, however, a dearth of information on current practices in deer farming and their impacts on the environment. The study examined the interaction and impact of deer production on soil fertility, forage nutritive values, water quality and soil loss in two large scale farms rearing a total of 728 heads of rusa. Fawning performance and stocking rates were also assessed. The findings indicated that soil nutrient levels, forage nutritive values and deer performance appear acceptable under current practices. Water quality is of some concern with increased coliforms and Escherichia coli counts from the land use. Critical pasture management and soil conservation practices need to be adopted to mitigate the effect and impact of deer farming on environmental quality. Universiti Malaysia Sarawak, (UNIMAS) 2005 Thesis http://ir.unimas.my/id/eprint/14837/ http://ir.unimas.my/id/eprint/14837/3/Wong%2C%20Thomas%20%20Kee%20Ungfull.pdf text en validuser masters Universiti Malaysia Sarawak Faculty Of Resource Science and Technology |
institution |
Universiti Malaysia Sarawak |
collection |
UNIMAS Institutional Repository |
language |
English |
topic |
GE Environmental Sciences |
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GE Environmental Sciences Wong, Thomas Kee Ung An assessment of the environmental impact of large scale deer farming in Sarawak |
description |
Deer farming is one way of conservation and sustainable use of our natural resources. There are a
number of large-scale deer farms with Sam bar and rusa deer belonging to both the government
and private sectors in Sarawak. There is, however, a dearth of information on current practices in
deer farming and their impacts on the environment. The study examined the interaction and
impact of deer production on soil fertility, forage nutritive values, water quality and soil loss in
two large scale farms rearing a total of 728 heads of rusa. Fawning performance and stocking
rates were also assessed. The findings indicated that soil nutrient levels, forage nutritive values
and deer performance appear acceptable under current practices. Water quality is of some concern
with increased coliforms and Escherichia coli counts from the land use. Critical pasture
management and soil conservation practices need to be adopted to mitigate the effect and impact
of deer farming on environmental quality. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Wong, Thomas Kee Ung |
author_facet |
Wong, Thomas Kee Ung |
author_sort |
Wong, Thomas Kee Ung |
title |
An assessment of the environmental impact of large scale deer farming in Sarawak |
title_short |
An assessment of the environmental impact of large scale deer farming in Sarawak |
title_full |
An assessment of the environmental impact of large scale deer farming in Sarawak |
title_fullStr |
An assessment of the environmental impact of large scale deer farming in Sarawak |
title_full_unstemmed |
An assessment of the environmental impact of large scale deer farming in Sarawak |
title_sort |
assessment of the environmental impact of large scale deer farming in sarawak |
granting_institution |
Universiti Malaysia Sarawak |
granting_department |
Faculty Of Resource Science and Technology |
publishDate |
2005 |
url |
http://ir.unimas.my/id/eprint/14837/3/Wong%2C%20Thomas%20%20Kee%20Ungfull.pdf |
_version_ |
1783728168986738688 |