[Objective]This study,with an quantitative analysis of the effects of forest landscape pattern on forest carbon density in Lishui City,Zhejiang Province,is aimed to provide theoretical basis for forest management,ecological protection and restoration so as to improve forest carbon sink function.[Method]First,the forest carbon density of the continuous forest inventory plots was measured by using the biomass model and carbon coefficient.Then,the distribution map of regional forest carbon density was formed by ordinary Kriging interpolation before an analysis was conducted of the spatial autocorrelation characteristics of forest carbon density.Lastly,five landscape pattern indicators and three natural factors were selected,and multiscale geographically weighted regression(MGWR)models were used to investigate the effects of forest landscape pattern on forest carbon density,while the spatial non-stationarity affecting the results was analyzed.[Result]From 2012 to 2019,the average forest carbon density in Lishui increased from 23.19 t·hm-2 to 31.96 t·hm-2,and the spatial distribution showed a significant positive spatial autocorrelation.Forest landscape pattern significantly affected forest carbon density,showing different scale effects,and the degree of impact was also different in space.Landscape pattern indexes contagion(CONTAG)and patch density(PD)had a greater driving force on forest carbon density,while largest path index(LPI)had a smaller one.[Conclusion]The effects of forest landscape pattern on forest carbon density showed obvious spatial heterogeneity and the results of this paper can provide reference for making differentiated forest management policies and implementing targeted ecosystem protection and restoration projects.[Ch,3 fig.4 tab.42 ref.]
维普
万方数据