零散的植物群落调查不符合群落分布既有连续性、又存在间断性的特点。近年来兴起的森林动态监测样地研究平台为植被分类研究提供了新途径。以黄山10.24 hm2森林动态监测样地为研究对象,以地形因子和物种重要值为变量,使用多元回归树、指示种并结合冗余分析将监测样地划分为3个群丛;甜槠在3个群丛中均为重要值最高的物种,森林动态监测样地属于甜槠群系。采用α-多样性指数对该局域尺度下各群丛物种多样性进行分析,并首次引入PER-SIMPER推断黄山常绿阔叶林群落的构建机制。结果表明:群落内的群丛分类主要受海拔和凹凸度的影响,坡度与坡向对群丛分类的影响较小;生态位和扩散过程共同主导黄山植物群落的构建;不同群丛间的物种多样性存在差异,分布于低海拔山脊的群丛α-多样性与分布于山谷的群丛α-多样性存在显著差异。该研究结果为当地森林植被管理与保护提供了决策依据。
XIE Lei1
,
CHEN Hao1
,
2
,
ZHAO Rong1
,
WAND Ding3
,
QIAN Wei3
,
HOU Sixuan1
,
FENG Yueyao1
,
CHEN Shuifei2
,
DING Hui2
,
FANG Yanming1*
. 黄山常绿阔叶林群丛数量分类及物种多样性格局[J]. 陕西师范大学学报(自然科学版), 2023
, 51(3)
: 86
-95
.
DOI: 10.15983/j.cnki.jsnu.2023207
The scattered survey of plant communities often fails to conform to the characteristics of both continuity and discontinuity of community distribution. In recent years, the research platform of forest dynamics plot provides a new way for the study of vegetation classification. The 10.24 hm2 forest dynamics plot in Huangshan was divided into three clusters by using multivariate regression tree, indicator species and redundancy analysis (RDA) with topographic factors and species importance values as variables. Castanopsis eyrei was the species with the highest importance value in the three associations, which indicated that the investigated forest dynamics plot belongs to the alliance of C. eyrei. The α-diversity index was used to measure the species diversity of associations at local scale, and PER-SIMPER was introduced for the first time to infer the assembly mechanism of evergreen broad-leaved forest community in Huangshan.The results showed that the association classification in the community is mainly affected by elevation and convexity, while slope and aspect exhibit little influence on association classification. Niche and dispersal limitation jointly dominate the assembly of plant community in Huangshan. The species diversities in different associations are different. There is a significant difference in α-diversity between groups distributed in low elevation ridges and groups distributed in valleys. The results of this study provide a basis for decision-making on local forest vegetation management and protection.