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Multi-objective forest harvesting under sustainable and economic principles

林业研究:英文版 2023年第5期34卷 1379-1394页

作者： Talles Hudson souza lacerda Luciano Cavalcante de Jesus Franca Isáira Leite e Lopes sammilly lorrayne souza lacerda Evandro OrfanóFigueiredo Bruno Henrique Groenner Barbosa Carolina souza Jarochinski e Silva Lucas Rezende Gomide Suzano SA Sao JoséDos CamposSao PauloBrazil Institute of Agricultural Sciences Federal University of Uberlandia–UFUMonte CarmeloMinas GeraisBrazil Department of Forest Sciences Federal University of Lavras–UFLALavrasMinas GeraisBrazil Brazilian Agricultural Research Corporation–EMBRAPA Rio BrancoAcreBrazil Department of Systems and Automation Federal University of Lavras–UFLALavrasMinas GeraisBrazil

Selective logging is well-recognized as an effective practice in sustainable forest ***,the ecological efficiency or resilience of the residual stand is often in *** time depends on operational variables,diversity,and forest *** logging is excellent but is open to *** may be resolved by mathematical programming and this study integrates the economic-ecological aspects in multi-objective function by applying two evolutionary *** function maximizes remaining stand diversity,merchantable logs,and the inverse of distance between trees for harvesting and log landings *** Brazilian rainforest database(566 trees)was used to simulate our 216-ha *** log landing design has a maximum volume limit of 500 *** nondominated sorting genetic algorithm was applied to solve the main optimization *** parallel,a sub-problem(p-facility allocation)was solved for landing allocation by a genetic *** frontier analysis was applied to distinguish the gradientsα-economic,β-ecological,andγ-*** expected,the solutions have high diameter changes in the residual stand(average removal of approximately 16 m^(3) ha^(-1)).All solutions showed a grouping of trees selected for harvesting,although there was no formation of large clearings(percentage of canopy removal<7%,with an average of 2.5 ind ha^(-1)).There were no differences in floristic composition by preferentially selecting species with greater frequency in the initial stand for *** implies a lower impact on the demographic rates of the remaining *** methodology should support projects of reduced impact logging by using spatial-diversity information to guide better practices in tropical forests.

关键词： Amazon rainforest management Computational intelligence Multi-objective functions Evolutionary computing

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