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植物物种更替和嵌套性的β多样性子成分揭示了亚热带再生森林群落构建的驱动因素。

Beta diversity subcomponents of plant species turnover and nestedness reveal drivers of community assembly in a regenerating subtropical forest.

作者信息

Guclu Coskun, Luk Chung-Lim, Ashton Louise Amy, Abbas Sawaid, Boyle Michael J W

机构信息

Ecology and Biodiversity Department, School of Biological Sciences The University of Hong Kong Hong Kong Hong Kong SAR.

Department of Land Surveying and Geo-Informatics The Hong Kong Polytechnic University Hung Hom Hong Kong SAR.

出版信息

Ecol Evol. 2024 Sep 16;14(9):e70233. doi: 10.1002/ece3.70233. eCollection 2024 Sep.

DOI:10.1002/ece3.70233
PMID:39290666
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11405291/
Abstract

Secondary forests represent a significant proportion of global forest cover, with over 70% of forests in East Asia classified as regenerating. While succession has been studied extensively in temperate systems, trajectories of subtropical succession remain poorly characterized in highly disturbed, urban-adjacent forests. Investigating the additive beta diversity components of turnover and nestedness may reveal community assembly mechanisms driving secondary succession. The present study investigates plant community assembly along a successional gradient from 7 to 70 years following the onset of succession in secondary subtropical forests in Hong Kong, China. Plant survey data for 28 plots were analysed, generating additive Simpsons turnover and nestedness beta diversity metrics. Dissimilarity matrices were generated and modelled as a function of environmental matrices including forest plant community age (years following onset of secondary succession), inter-community distance (metres), and soil moisture saturation (%) across three elevational bands using generalized dissimilarity models. Nonmetric multidimensional scaling of plant communities was conducted with Bray-Curtis dissimilarity matrices. Inter-community distance and successional age differentially influenced plant species turnover between lowland and Montane forest types. Models of nestedness found that plot age and soil moisture saturation were significant drivers of nestedness patterns in plant communities across elevational classes. Turnover represented a higher proportion of Sorensen beta diversity than nestedness, while ANOSIM found significant differentiation between plant communities at different successional stages. Turnover patterns suggest a deterministic model of community assembly, with strong patterns of species replacement between communities at fine spatial scales and successional stages, as well as clear compositional shifts between lowland and montane forest types. NMDS analysis and functional compositional assessments suggested a transition from early successional communities with a high proportion of shrub species, to later successional communities with a higher proportion of tree species, with an increase in species turnover with greater age dissimilarity.

摘要

次生林占全球森林覆盖面积的很大比例,东亚超过70%的森林被归类为正在再生的森林。虽然在温带系统中对演替进行了广泛研究,但在受到高度干扰、毗邻城市的森林中,亚热带演替轨迹的特征仍不清楚。研究周转率和嵌套性的加性β多样性成分可能会揭示驱动次生演替的群落组装机制。本研究调查了中国香港亚热带次生林演替开始后7至70年的演替梯度上的植物群落组装。分析了28个样地的植物调查数据,生成了加性辛普森周转率和嵌套性β多样性指标。使用广义差异模型,生成了差异矩阵,并将其建模为环境矩阵的函数,环境矩阵包括森林植物群落年龄(次生演替开始后的年数)、群落间距离(米)和三个海拔带的土壤水分饱和度(%)。使用布雷-柯蒂斯差异矩阵对植物群落进行非度量多维标度分析。群落间距离和演替年龄对低地和山地森林类型之间的植物物种周转率有不同影响。嵌套性模型发现,样地年龄和土壤水分饱和度是不同海拔类植物群落嵌套性模式的重要驱动因素。周转率在索伦森β多样性中所占比例高于嵌套性,而ANOSIM发现不同演替阶段的植物群落之间存在显著差异。周转率模式表明群落组装的确定性模型,在精细空间尺度和演替阶段,群落之间有强烈的物种替代模式,以及低地和山地森林类型之间明显的组成变化。NMDS分析和功能组成评估表明,从灌木物种比例高的早期演替群落,过渡到树木物种比例更高的后期演替群落,随着年龄差异的增大,物种周转率增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2007/11405291/1bbd498f87aa/ECE3-14-e70233-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2007/11405291/cab23049a803/ECE3-14-e70233-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2007/11405291/39181911a9d2/ECE3-14-e70233-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2007/11405291/382e38b19fec/ECE3-14-e70233-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2007/11405291/1bbd498f87aa/ECE3-14-e70233-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2007/11405291/cab23049a803/ECE3-14-e70233-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2007/11405291/39181911a9d2/ECE3-14-e70233-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2007/11405291/382e38b19fec/ECE3-14-e70233-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2007/11405291/1bbd498f87aa/ECE3-14-e70233-g001.jpg

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