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The Spatial-Temporal Heterogeneity of Understory Light Availability in a Temperate forest of North China

Phyton-International Journal of Experimental Botany 2021年第6期90卷 1633-1644页

作者： Jie Li Ziyu Zhou Yun Chen Qiusheng Yang Carlos Alberto Busso College of Landscape Architecture and Art Henan Agricultural UniversityZhengzhou450002China College of Life Sciences Henan Agricultural UniversityZhengzhou450002China Departamento de Agronomía-CERZOS(CONICET) Universidad Nacional del SurBahía BlancaBuenos Aires8000Argentina

The spatial-temporal variation of understory light availability has important influences on species diversity and community assembly.However,the distribution characteristics and influencing factors of understory light availability have not been fully elucidated,especially in temperate deciduous,broad-leaved forests.In this study,the understory light availability was monitored monthly(May–October)in a temperate deciduous,broad-leaved forest in Henan Province,China.Differences in the light availability among different months and habitat types were statistically analyzed using Kruskal–Wallis method,respectively.Partial least squares path modeling(PLS-PM)was used to explore the direct and/or indirect effects of stand structure,dominant species and topographic factors on the light environment.Results showed that there were differences in light environments among the four habitat types and during the studied six months.The PLS-PM results showed that the stand structure and the dominant species were negatively correlated with the light environment,and the path coefficient values were−0.089(P=0.042)and−0.130(P=0.004),respectively.Our result indicated that the understory light availability exhibit a distinct spatial and temporal heterogeneity in temperate deciduous,broad-leaved forest of north China.The characteristics of woody plant community,especially the abundance of one of the dominant plant species,were the important factors affecting the understory light availability.

关键词： Dominant species forest canopy stand structure forest dynamic monitoring plot

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