Effect of Microenvironment on Species Distribution Patterns in the Regeneration Layer of Forest Gaps and Non-Gaps in a Subtropical Natural Forest, China

The aim of this study was to explore the effect of gap environmental factors on the plant population regeneration pattern in the <i>Castanopsis kawakamii</i> natural forest. We used the detrended canonical correspondence analysis (DCCA) method to study coupling relationships between spec...

Full description

Bibliographic Details
Main Authors: Zhongsheng He, Lijing Wang, Lan Jiang, Zhe Wang, Jinfu Liu, Daowei Xu, Wei Hong
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/10/2/90
Description
Summary:The aim of this study was to explore the effect of gap environmental factors on the plant population regeneration pattern in the <i>Castanopsis kawakamii</i> natural forest. We used the detrended canonical correspondence analysis (DCCA) method to study coupling relationships between species distribution in the regeneration layer and environmental factors. The results showed that: (1) The main environmental factors that influenced species distribution in the forest gaps and non-gaps were different, and the highest explanation rate of environmental factors was the soil temperature below the surface 10 cm (ST10); (2) The relationships between species distribution in the regeneration layer of the forest gaps and non-gaps were mainly restricted by environmental factors, given the environmental factors complied with the ecological niche hypothesis; and (3) For the endangered <i>C. kawakamii</i> population, there were positive and negative relationships between the environmental factors and the various species in the forest gaps and non-gaps, whilst the effects of such relationships were varied. Some management operations, including the creation of artificial gaps and adequate fertilization in the non-gaps, could more effectively promote the growth and regeneration of the <i>C. kawakamii</i> population.
ISSN:1999-4907