利用计算虚拟测量评价相邻树木对单株树木的阳光辐射遮蔽

Objective:Virtual measurement(CVM)is a virtual measurement method that aims to perform simulated measurements on virtual trees in virtual forest plots to obtain certain biological parameters of trees that are difficult to measure in real space.In this paper,the CVM method is applied to quantitatively evaluate the extent to which neighboring trees shade individual trees by constructing a virtual plot(VSP).Methods:First,the VSP was constructed using the Voxel and QSM methods,in combination with DTM and virtual solar radiation simulation software.Subsequently,a study was conducted on the changes in light conditions under six physical shading scenarios for two target trees located in the center of the VSP that were shaded by neighboring trees.In addition,the differences between a single tree and the overall virtual plot were compared to determine the shading effect of a single tree in its neighborhood.Results:The results showed that the solar energy loss of the central trees in the virtual plot ranged from 35.80%to 45.32%under different tree conditions and tree models.Specifically,factors such as tree height,crown width,and leaf density all affected the amount of solar energy loss.Conclusion:Our research opens up a new avenue for quantitatively assessing the shading effect of trees in forests and provides useful references for future studies on tree physiology.Through virtual measurement methods,it is possible to more accurately simulate and analyze the light conditions and growth conditions of trees in real forest environments.This will not only help to improve our understanding of forest ecosystems but also provide scientific basis for forest management and protection.This study demonstrates the effectiveness and potential of the CVM method in simulating and analyzing forest light conditions.In the future,we will continue to improve this method and further explore its application in different forest ecosystems.