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摘要:
A competitive co-evolutionary Multi-Objective Genetic Algorithm (cc-MOGA) was used to approximate a Pareto front of efficient silvicultural regimes for Eucalyptus fastigata. The three objectives to be maximised included, sawlog, pulpwood and carbon sequestration payment. Three carbon price scenarios (3CPS), i.e. NZ $25, NZ $50 and NZ $100 for a tonne of CO2 sequestered, were used to assess the impact on silvicultural regimes, against a fourth non-carbon Pareto set of efficient regimes (nonCPS), determined from a cc-MOGA with two objectives, i.e. competing sawlog and pulpwood productions. Carbon prices included in stand valuation were found to influence the silvicultural regimes by increasing the rotation length and lowering the final crop number before clearfell. However, there were no significant changes in the frequency, timing, and intensity of thinning operations amongst all the four Pareto sets of solutions. However, the 3CPS were not significantly different from each other, which meant that these silvicultural regimes were insensitive to the price of carbon. This was because maximising carbon sequestration was directly related to the biological growth rate. As such an optimal mix of frequency, intensity, and timing of thinning maintained maximum growth rate for as long as possible for any one rotation.
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篇名 Maintaining an Optimal Flow of Forest Products under a Carbon Market: Approximating a Pareto Set of Optimal Silvicultural Regimes for Eucalyptus fastigata
来源期刊 林学期刊(英文) 学科 医学
关键词 OPTIMAL Control COMPETITIVE Co-Evolutionary Multi-Objective Genetic Algorithm (cc-MOGA) PARETO Front Forest HOLDING Value Kruskal-Wallis Test Multiple Comparison Procedure
年,卷(期) 2012,(3) 所属期刊栏目
研究方向 页码范围 138-149
页数 12页 分类号 R73
字数 语种
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研究主题发展历程
节点文献
OPTIMAL
Control
COMPETITIVE
Co-Evolutionary
Multi-Objective
Genetic
Algorithm
(cc-MOGA)
PARETO
Front
Forest
HOLDING
Value
Kruskal-Wallis
Test
Multiple
Comparison
Procedure
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
林学期刊(英文)
季刊
2163-0429
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
314
总下载数(次)
0
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0
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