自然科学版
陕西师范大学学报(自然科学版)
生物多样性专题
黄山常绿阔叶林群丛数量分类及物种多样性格局——以10.24 hm2森林动态监测样地为例
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解雷1,陈浩1,2,赵荣1,王丁3,钱为3,侯思璇1,冯玥瑶1,陈水飞2,丁晖2,方炎明1*
(1 南京林业大学 生物与环境学院,南方现代林业协同创新中心,亚热带森林生物多样性保护国家林业和草原局重点实验室, 江苏 南京 210037;2 生态环境部南京环境科学研究所 自然保护与生物多样性研究中心, 江苏 南京 210042;3 黄山风景区管理委员会园林局,安徽 黄山 245899)
方炎明,男,教授,博士生导师,研究方向为中亚热带森林植物多样性定位观测与研究。 E-mail: jwu4@njfu.edu.cn
摘要:
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。
关键词:
森林动态监测样地;多元回归树;排序;群丛;群落构建
收稿日期:
2021-12-23
中图分类号:
Q948.15
文献标识码:
A
文章编号:
1672-4291(2023)03-0086-10
基金项目:
生态环境部生物多样性调查、观测和评估项目(2110404);国家科技基础资源调查专项(2019FY202300)
Doi:
10.15983/j.cnki.jsnu.2023207
Association classification and species diversity of the subtropical evergreen broad-leaved forest in Huangshan, Anhui, China:a case study of 10.24 hm2 forest dynamics plot
XIE Lei1, CHEN Hao1,2, ZHAO Rong1, WAND Ding3, QIAN Wei3, HOU Sixuan1,FENG Yueyao1, CHEN Shuifei2, DING Hui2, FANG Yanming1*
(1 College of Biology and the Environment, Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of State Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, Nanjing Forestry University, Nanjing 210037, Jiangsu, China;2 Research Center for Nature Conservation and Biodiversity, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, Jiangsu, China;3 Bureau of Parks and Woods of Huangshan Management Committee, Huangshan 245899, Anhui, China)
Abstract:
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.
KeyWords:
forest dynamics plot; multivariate regression tree; ordination; association; community assembly