关键词：
Carbon value
Dynamic bio-economic model
Forest and soil
Himalayan region
Land clearing
Land use
Scenario analyses
摘要：
A dynamic bio-economic model has been used at watershed level in Nepal to analyze the land-use changes, forest and soil conditions and their resultant impacts on carbon (C) sequestration. Planning horizon of the model extends over a period of 25 years. The objective function is maximization of the sum of discounted net income flows from agriculture, livestock and forestry productions;imputed value of leisure and labour hiring out activities subject to annual constraints on land, labour and capital availability along with the fulfilment of minimum cash and consumption requirements. The seven scenarios analyzed by the model are: business as usual (BAU), reduction in population growth rate from 2 to 1.5% p.a., increased prices of major crops by 10 and 20%, reduction in emigration of active labour force from the watershed from the current rate of 20-15 and 10%, and increase in discount rate from 5 to 10%. The results indicate that reduced labour emigration rates and increase in the prices of major crops lead to expansion of cultivated area and shift from one land use to the others. Land clearing becomes more severe with decline in labour emigration rate. Up to 10% increase in the prices of agricultural crops does not have noticeable effect on total land clearing. Increase in discount rate leads to less land clearing, more biomass harvesting and higher net C sequestration as compared to the BAU scenario. Assuming a C price of 10 USD per MgC and 5% discount rate, the net present value of C sequestration for the first 25 years is estimated at 1.83 mill USD in the BAU scenario, varying from 0.16 mill USD to 2.26 mill USD, as respectively the lowest and highest values for the seven scenarios analysed. A reduction in population growth and maintenance of current rate of off-farm employment are suggested for slowing down the expansion of cultivated land area, and thereby reducing the forest/soil degradation and C emissions. This in turn would enhance the income potential from C
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