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环境特征与人为影响共同塑造水生大型植物物种多样性。

Environmental Characteristics and Anthropogenic Impact Jointly Modify Aquatic Macrophyte Species Diversity.

作者信息

Elo Merja, Alahuhta Janne, Kanninen Antti, Meissner Kristian K, Seppälä Katri, Mönkkönen Mikko

机构信息

Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland.

School of Resource Wisdom, University of Jyväskylä, Jyväskylä, Finland.

出版信息

Front Plant Sci. 2018 Aug 10;9:1001. doi: 10.3389/fpls.2018.01001. eCollection 2018.

Abstract

Species richness and spatial variation in community composition (i.e., beta diversity) are key measures of biodiversity. They are largely determined by natural factors, but also increasingly affected by anthropogenic factors. Thus, there is a need for a clear understanding of the human impact on species richness and beta diversity, the underlying mechanisms, and whether human-induced changes can override natural patterns. Here, we dissect the patterns of species richness, community composition and beta diversity in relation to different environmental factors as well as human impact in one framework: aquatic macrophytes in 66 boreal lakes in Eastern Finland. The lakes had been classified as having high, good or moderate status (according to ecological classification of surface waters in Finland) reflecting multifaceted human impact. We used generalized least square models to study the association between different environmental variables (Secchi depth, irregularity of the shoreline, total phosphorus, pH, alkalinity, conductivity) and species richness. We tested the null hypothesis that the observed community composition can be explained by random distribution of species. We used multivariate distance matrix regression to test the effect of each environmental variable on community composition, and distance-based test for homogeneity of multivariate dispersion to test whether lakes classified as high, good or moderate status have different beta diversity. We showed that environmental drivers of species richness and community composition were largely similar, although dependent on the particular life-form group studied. The most important ones were characteristics of water quality (pH, alkalinity, conductivity) and irregularity of the shoreline. Differences in community composition were related to environmental variables independently of species richness. Species richness was higher in lakes with higher levels of human impact. Lakes with different levels of human impact had different community composition. Between-lake beta diversity did not differ in high, good or moderate status groups. However, the variation in environmental variables shaping community composition was larger in lakes with moderate status compared to other lakes. Hence, beta diversity in lakes with moderate status was smaller than what could be expected on the basis of these environmental characteristics. This could be interpreted as homogenization.

摘要

物种丰富度以及群落组成的空间变异(即β多样性)是生物多样性的关键衡量指标。它们在很大程度上由自然因素决定,但也越来越受到人为因素的影响。因此,有必要清楚地了解人类对物种丰富度和β多样性的影响、潜在机制,以及人为引起的变化是否能够超越自然模式。在此,我们在一个框架内剖析了与不同环境因素以及人类影响相关的物种丰富度、群落组成和β多样性模式:芬兰东部66个北方湖泊中的水生大型植物。这些湖泊已根据芬兰地表水的生态分类被划分为具有高、良好或中等状态,反映了多方面的人类影响。我们使用广义最小二乘模型来研究不同环境变量(透明度、海岸线不规则性、总磷、pH值、碱度、电导率)与物种丰富度之间的关联。我们检验了零假设,即观察到的群落组成可以通过物种的随机分布来解释。我们使用多元距离矩阵回归来检验每个环境变量对群落组成的影响,并使用基于距离的多元离散同质性检验来检验被分类为高、良好或中等状态的湖泊是否具有不同的β多样性。我们表明,物种丰富度和群落组成的环境驱动因素在很大程度上是相似的,尽管这取决于所研究的特定生活型组。最重要的因素是水质特征(pH值、碱度、电导率)和海岸线不规则性。群落组成的差异与环境变量有关,与物种丰富度无关。在人类影响程度较高的湖泊中,物种丰富度更高。具有不同人类影响程度的湖泊具有不同的群落组成。高、良好或中等状态组之间的湖间β多样性没有差异。然而,与其他湖泊相比,中等状态湖泊中塑造群落组成的环境变量变化更大。因此,中等状态湖泊中的β多样性小于基于这些环境特征所预期的多样性。这可以解释为同质化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7990/6097017/4b25e96b3e2f/fpls-09-01001-g0001.jpg

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