Chin J Plant Ecol ›› 2022, Vol. 46 ›› Issue (5): 529-538.DOI: 10.17521/cjpe.2022.0047

Special Issue: 植被生态学

• Research Articles • Previous Articles     Next Articles

Relationship between canopy structure and species composition of an evergreen broadleaf forest in Tiantong region, Zhejiang, China

YU Qiu-Wu1,2, YANG Jing1,2, SHEN Guo-Chun1,2,3,*()   

  1. 1School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
    2Tiantong National Forest Ecosystem Observation and Research Station, Ningbo, Zhejiang 315114, China
    3Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
  • Received:2022-01-29 Accepted:2022-04-10 Online:2022-05-20 Published:2022-04-15
  • Contact: SHEN Guo-Chun
  • Supported by:
    National Natural Science Foundation of China(31870404)

Abstract:

Aims The ecological mechanisms underlying species compositional differences among communities are crucial to understanding and predicting biodiversity changes. One of such mechanisms is the spatial structure independent of ground-level habitat (e.g., soil nutrients and topographic parameters). However, the primary drivers of this spatial structure are still unclear. Forest canopy structure can alter understory microclimates, which in turn influences the spatial structure and species compositional differences. We know little so far about such influence of the forest canopy structure. This gap has hindered our understanding of the ecological mechanisms underlying species compositional difference.

Methods The study was conducted in a 20 hm2 evergreen broadleaf forest plot in the Tiantong region, Zhejiang Province, Eastern China. UVA-based LiDAR was used to estimate the high-precision forest canopy structure of the Tiantong plot. The redundancy analysis and the variance decomposition method were used to explore the relative importance of forest canopy structure and other potential factors on community species composition.

Important findings Our research showed that: (1) In the case of excluding the effect of canopy structure, the spatial structure independent of the ground-level habitat was one of the main contributors to the species compositional differences in the Tiantong plot. It explained 25.2%, 28.1%, and 8.0% of the variation in species composition at the scales of 100 m2,and 8.0% of the variation in species composition at the scales of 100 m2 Our research showed that: (1) In the case of excluding the effect of canopy structure, the spatial structure independent of the ground-level habitat was one of the main contributors to the species compositional differences in the Tiantong plot. It explained 25.2%, 28.1%, and 8.0% of the variation in species composition at the scales of 100 m2, 400 m2,400 m2 400 m2, and 2 500 m2,and 2 500 m2 and 2 500 m2, respectively. (2) Including the effect of forest canopy structure significantly reduced the explanation power of the spatial structure by about 1/3 (26.2%-36.0%). (3) Among canopy structure factors, canopy height had the most significant influence on species composition, followed by internal canopy structure. With the increase of the plot scale, the effects of canopy height decreased while the impacts of internal canopy structure increased. In conclusion, our study demonstrated that canopy structure is one of the main drivers of spatial structure independent of ground-level habitat. Our results also clarify the relative importance of canopy height and internal canopy structure on species composition and provide new perspectives to understand the ecological mechanisms underlying species compositional differences among forest plant communities.

Key words: canopy structure, species composition differences, ground-level habitat, spatial structure, variance partitioning analysis