生物多样性 ›› 2017, Vol. 25 ›› Issue (9): 959-965. DOI: 10.17520/biods.2017053
宋云峰1,3#, 陈声文2#, 王薇3, 余建平2, 钱海源2, 王云泉3, 陈磊3, 米湘成3,*(), 任海保3, 叶铎1, 陈建华1,*(), 马克平3
收稿日期:
2017-02-21
接受日期:
2017-06-08
出版日期:
2017-09-20
发布日期:
2017-10-04
通讯作者:
米湘成,陈建华
作者简介:
# 共同第一作者
基金资助:
Yunfeng Song1,3#, Shengwen Chen2#, Wei Wang3, Jianping Yu2, Haiyuan Qian2, Yunquan Wang3, Lei Chen3, Xiangcheng Mi3,*(), Haibao Ren3, Duo Ye1, Jianhua Chen1,*(), Keping Ma3
Received:
2017-02-21
Accepted:
2017-06-08
Online:
2017-09-20
Published:
2017-10-04
Contact:
Mi Xiangcheng,Chen Jianhua
About author:
# Co-first authors
摘要:
生物多样性的维持机制一直是群落生态学研究的核心内容。目前利用负密度制约和生境过滤分别解释群落多样性空间分布格局的研究较多, 但结合这两种机制来解释功能多样性格局年际变化的研究还很少。本文以古田山亚热带常绿阔叶林24 ha动态监测样地的木本植物幼苗为研究对象, 利用2006年和2007年的幼苗动态监测数据, 比较了幼苗功能α和β多样性随时间推移而变化的趋势。结果表明: 2006-2007年间, 随着时间的变化, 幼苗群落内与木质密度、比叶面积、叶片氮含量、叶片磷含量4种功能性状相关的功能α多样性显著增加, 与气孔密度相关的α多样性变化不显著; 幼苗群落间基于5种功能性状的β多样性均呈显著增加趋势。综合分析表明, 负密度制约能够促进古田山木本植物幼苗群落内的功能α多样性, 而生境过滤只能在一定程度上解释群落的功能β多样性。该结论还需要更长期的调查数据来验证。
宋云峰, 陈声文, 王薇, 余建平, 钱海源, 王云泉, 陈磊, 米湘成, 任海保, 叶铎, 陈建华, 马克平 (2017) 负密度制约和生境过滤对古田山幼苗功能多样性年际变化的影响. 生物多样性, 25, 959-965. DOI: 10.17520/biods.2017053.
Yunfeng Song, Shengwen Chen, Wei Wang, Jianping Yu, Haiyuan Qian, Yunquan Wang, Lei Chen, Xiangcheng Mi, Haibao Ren, Duo Ye, Jianhua Chen, Keping Ma (2017) Effects of negative density dependence and habitat filtering on the functional diversity of seedlings in the subtropical forest of Gutianshan. Biodiversity Science, 25, 959-965. DOI: 10.17520/biods.2017053.
图1 2006年和2007年古田山24 ha森林动态监测样地幼苗的成对功能性状关系指数(SES.PW) (α多样性)的变化趋势。不同字母表示差异显著(P < 0.01)。
Fig.1 Changes of pairwise trait dispersion (SES.PW) (α diversity) within seedling community in the 24 ha Gutianshan forest dynamics plot in 2006 and 2007. Different letters indicate significant difference (P < 0.01).
图2 古田山24 ha森林动态监测样地幼苗2006和2007年样方间成对功能性状关系指数(SES.Dpw) (β多样性)的变化趋势。不同字母表示差异显著(P < 0.01)。
Fig. 2 Changes of mean pairwise distance (SES.Dpw) (β diversity) within seedling community in the 24 ha Gutianshan forest dynamics plot in 2006 and 2007. Different letters indicate significant difference (P < 0.01).
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