Environmental and Climatic Drivers of Phytoplankton Communities in Central Asia

Author:

Zi Fangze1ORCID,Song Tianjian23,Liu Jiaxuan1,Wang Huanhuan1,Serekbol Gulden1,Yang Liting1,Hu Linghui1,Huo Qiang1,Song Yong1,Huo Bin4,Wang Baoqiang5ORCID,Chen Shengao1ORCID

Affiliation:

1. College of Life Sciences and Technology, Tarim Research Center of Rare Fishes, Tarim University, Alar 843300, China

2. College of Water Sciences, Beijing Normal University, Beijing 100875, China

3. State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China

4. College of Fisheries, Huazhong Agricultural University, Wuhan 430070, China

5. Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China

Abstract

Artificial water bodies in Central Asia offer unique environments in which to study plankton diversity influenced by topographic barriers. However, the complexity of these ecosystems and limited comprehensive studies in the region challenge our understanding. In this study, we systematically investigated the water environment parameters and phytoplankton community structure by surveying 14 artificial waters on the southern side of the Altai Mountains and the northern and southern sides of the Tianshan Mountains in the Xinjiang region. The survey covered physical and nutrient indicators, and the results showed noticeable spatial differences between waters in different regions. The temperature, dissolved oxygen, total nitrogen, and total phosphorus of artificial water in the southern Altai Mountains vary greatly. In contrast, the waters in the northern Tianshan Mountains have more consistent physical indicators. The results of phytoplankton identification showed that the phytoplankton communities in different regions are somewhat different, with diatom species being the dominant taxon. The cluster analysis and the non-metric multidimensional scaling (NMDS) results also confirmed the variability of the phytoplankton communities in the areas. The variance partitioning analysis (VPA) results showed that climatic and environmental factors can explain some of the variability of the observed data. Nevertheless, the residual values indicated the presence of other unmeasured factors or the influence of stochasticity. This study provides a scientific basis for regional water resource management and environmental protection.

Funder

Xinjiang Uygur Autonomous Region ‘Tianshan Talents’ Project

National Natural Science Foundation of China

Survey of Ecosystems and Biodiversity in the Irtysh River Basin Survey of Aquatic Biodiversity in the Irtysh River Basin

Publisher

MDPI AG

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