Local environmental variables outperform spatial and land use pattern in the maintenance and assembly of phytoplankton communities in the wetland cluster

Local environmental variables outperform spatial and land use pattern in the maintenance and assembly of phytoplankton communities in the wetland cluster
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DOI:
10.1016/j.jclepro.2023.138275
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发表时间:
2023-07
影响因子:
11.1
通讯作者:
Yimin Zhu;Qingsong Qi;Xinxin Lu;Yawen Fan;Yan Liu;X. Tan
Yimin Zhu;Qingsong Qi;Xinxin Lu;Yawen Fan;Yan Liu;X. Tan
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Yimin Zhu;Qingsong Qi;Xinxin Lu;Yawen Fan;Yan Liu;X. Tan

文献摘要

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浮游植物是湿地生态系统中重要的初级生产者,对水质变化高度敏感。它长期以来被认为是监测水污染最重要的生物指标之一。然而,我们对浮游植物群落组装的各个方面及其驱动因素的了解仍然有限。在这项研究中,我们在石油工业污染的背景下,对包括湖泊和沼泽类型的温带湿地群的浮游植物样本进行了收集和分析。我们的目的是利用结构方程模型(SEM)和变异划分来研究空间因素、土地利用模式和当地环境变量对浮游植物群落分类和功能结构的影响。我们的结果表明,与质量效应相比,环境过滤对浮游植物分类组成的形成具有更大的相对影响。工业和农业生产等人类活动可能导致景观改变,增加水养分水平,从而影响群落组成。分类β多样性是由质量效应和环境过滤决定的。相比之下,功能性β多样性对当地环境梯度的反应更大,而土地利用模式对于湿地集群中β多样性的各个方面并不重要。这些结果验证了功能和基于分类的生物群落结构之间的一致性和互补性,凸显了整合多个生态驱动因素的重要性。本研究成果有助于加深对湿地群落组装和生物地理学过程的认识,对淡水生态系统环境污染的生物监测和管理具有重要意义。
Phytoplankton is a crucial primary producer in wetland ecosystems and is highly sensitive to changes in water quality. It has long been considered one of the most important biological indicators for monitoring water pollution. However, our understanding of the various aspects of phytoplankton communities assembly and the factors driving them remains limited. In this study, we conducted collection and analysis of phytoplankton samples from a temperate wetland cluster encompassing both lake and marsh types under the backdrop of industrial pollution from the petroleum industry. Our aim was to investigate the influence of spatial factors, land use patterns, and local environmental variables on the taxonomic and functional structure of the phytoplankton community, utilizing structural equation modeling (SEM) and variation partitioning. Our results revealed that environmental filtering exerts a greater relative impact on shaping the taxonomic composition of phytoplankton compared to mass effects. Human activities, such as industrial and agricultural production, can lead to landscape modifications that increase water nutrient levels and consequently influence the community composition. Taxonomic beta diversity is determined by both mass effects and environmental filtering. In contrast, functional beta diversity responds more to local environmental gradients, while the land use pattern was not important for facets of beta diversity in the wetland cluster. These results validate the concordance and complementarity between functional and taxonomy-based biome structures, highlighting the significance of integrating multiple ecological drivers. The results of this study contribute to a deeper understanding of wetland community assembly and the processes of biogeography, and are of crucial significance for the biological monitoring and management of freshwater ecosystem environmental pollution.