Influencing factors and prediction model of shrub uploading of typical stands in Dalou mountain
[Objective]As an important part of forest fuel,shrub have a significant impact on the vertical burning of forests and the possibility of extreme fires.As the second largest forest region in China,the southwest forest region has the highest annual fire frequency in China.It is of great significance for forest fire prevention and forest fire management to investigate the shrub loading of typical forests in this region,analyze its influencing factors,and establish prediction model.[Method]In this study,shrubs in six typical forest stands in Dalou mountain were taken as the research object,and standard plots were set up in the field to investigate the basic information.Through field experiments and indoor experiments,the aboveground stems,branches,leaves and total loading of shrubs were obtained,and their influencing factors were obtained and prediction models were established respectively.[Result]1)Through the study on different standard plots of the same forest type,it was concluded that the shrub branch loading of Pinus massoniana forest and the shrub leaf loading of Cupressus forest had significant differences,while the shrub branch loading and leaf loading of broad-leaved mixed forest had significant differences,and the dry loading and total loading had extremely significant differences;There was no difference in stem,branch,leaf and total loading among different forest types.2)The stem,branch,leaf and total loading of shrubs in the same forest type were correlated with the average tree height,average ground diameter,average height,average diameter at breast height,stand density,slope,elevation,etc.(the correlation gradually weakened);The stem,branch,leaf and total loading of shrubs in different forest types were correlated with the average ground diameter,average tree height,average diameter at breast height,average height,slope and average crown width(the correlation gradually weakened).3)Establishment of models:the fitting effect of the model of stem and branch loading of Cunninghamia lanceolata(Lamb.)forest and the model of stem,branch and total loading of shrub forest(R2=0.998)was the best,while the fitting effect of the model of branch loading of P.massoniana forest is the worst(R2=0.318).[Conclusion]This study provides basic data and methods for the investigation of shrub loading in typical forests in Dalou mountain area,and is of great significance for the investigation of fuel loading in forest fire risk prediction and forest fire risk survey.
shrubloadingforest stand characteristic factormodel
万方数据
维普
