Modeling Afforestation and the Underlying Uncertainties |
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Authors: | M Gusti |
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Institution: | (1) International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria |
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Abstract: | A dynamic model of the carbon budget of an oak forest ecosystem that takes into account forest stand age was developed. A
numerical experiment was designed to simulate the afforestation process, and a Monte Carlo simulation was performed to determine
how parameter uncertainties and environmental variability influence the result. It was found that while the total amount of
carbon stored in the ecosystem increases from 1.9 kg C/m2 to 4.4 kg C/m2 over the following 20 years, the relative standard deviation increases from 9 to 21%. The contribution of varying climate
and carbon dioxide parameters to total uncertainty is substantial; for example, the standard deviation at the 10th modeling
year for phytomass doubles and the uncertainties of the soil pool and total accumulated carbon increase by a factor of nearly
1.4, while the uncertainty of the litter pool stays almost at the same level. |
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Keywords: | afforestation mathematical model Monte Carlo simulation uncertainty estimation |
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