Detection of Campus Tree Health with ARBOTOM Tree Tomography
Landscaping trees are the important component of urban green spaces,and their health status directly reflects the quality of urban environment.In this paper,the ARBOTOM tree tomography is used to detect the cavity and decay of 76 trees in the Honghu campus of Xinjiang University and analyze the health status of trees in different species groups,habitats and diameter classes and their influencing factors,with the aim to provide a theoretical basis and methodological support for the assessment and protection of the health of landscaping trees.The results show that:1)The tested 76 trees belong to 7 species in 5 genera of 4 families.The average proportion of trees with trunk cavity,trees with rotten trunk and health trees is 8.18%,57.71%and 34.11%,respectively;2)There are significant differences in the proportion of trees with trunk cavity among different species.The trunk cavity rates of Ulmus pumila cv.pendula and Salix matsudana are among the highest,reaching 13.09%and 12.42%,respectively.The proportion of trees with trunk cavity at different habitats on the campus ranges from 3.14%to 11.25%;and 3)There is a significant negative correlation between trunk cavity rate and DBH value(P＜0.01),and there is no significant correlation between trunk cavity rate and tree height,crown diameter and under branches heights.Trunk cavity and decay of campus trees are relatively less,but the sapwood part suffers serious cavity and decay.It is therefore suggested that the targeted measures should be taken to strengthen the daily management and protection of campus trees in the future.
campus treetree health assessmentARBOTOM tree tomographytrunk cavity and decay
NETL
NSTL
万方数据
