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物种生物量动态与环境变异性:以涅瓦河口(波罗的海最东端)为例的研究

Dynamics of spp. Biomass and Environmental Variability: A Case Study in the Neva Estuary (The Easternmost Baltic Sea).

作者信息

Golubkov Sergey M, Golubkov Mikhail S

机构信息

Zoological Institute of Russian Academy of Sciences, Universitetskaya Emb. 1, 199034 Saint-Petersburg, Russia.

出版信息

Biology (Basel). 2024 Nov 26;13(12):974. doi: 10.3390/biology13120974.

Abstract

Predicting which non-indigenous species (NISs) will establish persistent invasive populations and cause significant ecosystem changes remains an important environmental challenge. We analyzed the spatial and temporal dynamics of the entire zoobenthos and the biomass of spp., one of the most successful invaders in the Baltic Sea, in the Neva estuary in 2014-2023. A considerable decrease in biomass was observed in the second half of the study period, which was accompanied by a sharp increase in the dominance of opportunistic oligochaete and chironomid species. Our one-way analysis of variance showed that communities with high biomass had significantly higher diversity and biomass of native benthic crustaceans compared to communities with low alien polychaetes biomass. A high biomass of was observed in biotopes characterized by low temperatures, high salinity, low plankton primary production and chlorophyll concentration. The results of PCA and one-way ANOVA indicated that these factors significantly influenced the spatial and temporal dynamics of the polychaete biomass. More detailed studies of the responses of NISs to environmental variables are needed to better understand and anticipate their dynamics in different regions of the Baltic Sea in relation to climate warming and anthropogenic impacts.

摘要

预测哪些非本地物种(NISs)会建立起持续的入侵种群并导致显著的生态系统变化,仍然是一项重大的环境挑战。我们分析了2014年至2023年期间涅瓦河口整个底栖动物的时空动态以及波罗的海最成功的入侵者之一——多毛纲物种的生物量。在研究期后半段观察到多毛纲生物量大幅下降,同时机会主义寡毛纲和摇蚊物种的优势度急剧增加。我们的单因素方差分析表明,与外来多毛纲生物量低的群落相比,多毛纲生物量高的群落中本地底栖甲壳类动物具有显著更高的多样性和生物量。在以低温、高盐度、低浮游植物初级生产力和叶绿素浓度为特征的生物栖息地中观察到多毛纲生物量较高。主成分分析(PCA)和单因素方差分析的结果表明,这些因素显著影响了多毛纲生物量的时空动态。需要对非本地物种对环境变量的响应进行更详细的研究,以便更好地理解和预测它们在波罗的海不同区域与气候变暖和人为影响相关的动态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae4d/11673274/5d7c89018559/biology-13-00974-g001.jpg

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