Determining K-coefficients value in payment for Environmental Services Program of Bu NDor’s Community Forest, Dak Nong province, Vietnam
Payment for Environmental Services (PES) has been implemented in Vietnam to prove the buyers about the services that they benefit. The environmental values in PES are calculated via a K-coefficient which present different type of forest characteristics of a particular area. The main objective...
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my-upm-ir.668282019-02-01T07:27:10Z Determining K-coefficients value in payment for Environmental Services Program of Bu NDor’s Community Forest, Dak Nong province, Vietnam 2016-11 Bao, Ho Dinh Payment for Environmental Services (PES) has been implemented in Vietnam to prove the buyers about the services that they benefit. The environmental values in PES are calculated via a K-coefficient which present different type of forest characteristics of a particular area. The main objective of this study was to determine the K-coefficient value that is used to adjust the payment in the payment for environmental services program within Bu N’Dor community forest. The research used SPOT-5 satellite image that was captured in 2012 to classify forest status. One hundred and four sample plots were collected in the field corresponded with three forest status which were rich, average, and poor forest. To classify forest status based on satellite image, Envi 4.7 software was used as a core software that interpreted forest condition according to digital value of the pixels in the image. The Kcoefficient (K1) was assigned based on forest status and it vary from 0.90 to 1.00. The second K-coefficient (K2) is based on the essential soil erosion. The Revised Universal Soil Loss Equation was used to calculate the essential soil erosion in the area. The essential soil erosion value was classified to eight classes according to Vietnam standard in 1995 (TCVN 5299 – 1995). Essential soil erosion K-coefficient (K2) map was then created corresponded with soil erosion level. It value varies from 0.75 to 1.00. The third K-coefficient was defined by the forest managed purposes (K3). Extracting the forest managed purposes map and assigning the K value based on production forest (K=0.90) or protection (K=0.95) forest. The fourth K-coefficient map (K4) was defined by the difficulty in forest protection. Four groups who were responsible for forest protection were interviewed, they divided the forest into three levels from average to very difficult in term of forest protection on a map that was provided. These maps were scanned, digitized, and assigned the K value (0.90 – 1.00) to create K4 map. The general K-coefficient map was built by overlay four K-coefficient maps which are K1, K2, K3 and K4 following the PES policy. The general K values are from 0.73 to 0.95. From that map, the value of environmental services that the community forest served was calculated by multiply with the price per hectare (USD 20). The total environmental services value is USD 15,729.60. The essential soil erosion Kcoefficient (K2) was calculated by some factors that related to forest conditions so that could replace K1 to calculate the new K-coefficient and the value of the community forest was reduced to USD 13,170.24. In conclusion, the K-coefficient map that reflected the different on providing environmental services of different areas could be used to calculate the environmental value of the community forest and contribute to the payment method of PES program in Vietnam. Sustainable forestry - Vietnam Forest management - Economic aspects - Vietnam Forest conservation - Citizen participation - Vietnam 2016-11 Thesis http://psasir.upm.edu.my/id/eprint/66828/ http://psasir.upm.edu.my/id/eprint/66828/1/FH%202016%2023%20IR.pdf text en public masters Universiti Putra Malaysia Sustainable forestry - Vietnam Forest management - Economic aspects - Vietnam Forest conservation - Citizen participation - Vietnam |
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Sustainable forestry - Vietnam Forest management - Economic aspects - Vietnam Forest conservation - Citizen participation - Vietnam Bao, Ho Dinh Determining K-coefficients value in payment for Environmental Services Program of Bu NDor’s Community Forest, Dak Nong province, Vietnam |
description |
Payment for Environmental Services (PES) has been implemented in Vietnam to prove
the buyers about the services that they benefit. The environmental values in PES are
calculated via a K-coefficient which present different type of forest characteristics of a
particular area. The main objective of this study was to determine the K-coefficient
value that is used to adjust the payment in the payment for environmental services
program within Bu N’Dor community forest.
The research used SPOT-5 satellite image that was captured in 2012 to classify forest
status. One hundred and four sample plots were collected in the field corresponded
with three forest status which were rich, average, and poor forest. To classify forest
status based on satellite image, Envi 4.7 software was used as a core software that
interpreted forest condition according to digital value of the pixels in the image. The Kcoefficient
(K1) was assigned based on forest status and it vary from 0.90 to 1.00. The
second K-coefficient (K2) is based on the essential soil erosion. The Revised Universal
Soil Loss Equation was used to calculate the essential soil erosion in the area. The
essential soil erosion value was classified to eight classes according to Vietnam
standard in 1995 (TCVN 5299 – 1995). Essential soil erosion K-coefficient (K2) map
was then created corresponded with soil erosion level. It value varies from 0.75 to 1.00.
The third K-coefficient was defined by the forest managed purposes (K3). Extracting
the forest managed purposes map and assigning the K value based on production forest
(K=0.90) or protection (K=0.95) forest. The fourth K-coefficient map (K4) was defined
by the difficulty in forest protection. Four groups who were responsible for forest
protection were interviewed, they divided the forest into three levels from average to
very difficult in term of forest protection on a map that was provided. These maps were
scanned, digitized, and assigned the K value (0.90 – 1.00) to create K4 map. The
general K-coefficient map was built by overlay four K-coefficient maps which are K1,
K2, K3 and K4 following the PES policy. The general K values are from 0.73 to 0.95.
From that map, the value of environmental services that the community forest served was calculated by multiply with the price per hectare (USD 20). The total
environmental services value is USD 15,729.60. The essential soil erosion Kcoefficient
(K2) was calculated by some factors that related to forest conditions so that
could replace K1 to calculate the new K-coefficient and the value of the community
forest was reduced to USD 13,170.24. In conclusion, the K-coefficient map that
reflected the different on providing environmental services of different areas could be
used to calculate the environmental value of the community forest and contribute to the
payment method of PES program in Vietnam. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Bao, Ho Dinh |
author_facet |
Bao, Ho Dinh |
author_sort |
Bao, Ho Dinh |
title |
Determining K-coefficients value in payment for Environmental Services Program of Bu NDor’s Community Forest, Dak Nong province, Vietnam |
title_short |
Determining K-coefficients value in payment for Environmental Services Program of Bu NDor’s Community Forest, Dak Nong province, Vietnam |
title_full |
Determining K-coefficients value in payment for Environmental Services Program of Bu NDor’s Community Forest, Dak Nong province, Vietnam |
title_fullStr |
Determining K-coefficients value in payment for Environmental Services Program of Bu NDor’s Community Forest, Dak Nong province, Vietnam |
title_full_unstemmed |
Determining K-coefficients value in payment for Environmental Services Program of Bu NDor’s Community Forest, Dak Nong province, Vietnam |
title_sort |
determining k-coefficients value in payment for environmental services program of bu ndor’s community forest, dak nong province, vietnam |
granting_institution |
Universiti Putra Malaysia |
publishDate |
2016 |
url |
http://psasir.upm.edu.my/id/eprint/66828/1/FH%202016%2023%20IR.pdf |
_version_ |
1747812412702064640 |