Influence of environmental parameters on the distribution of subfossil chironomids in surface sediments of Bosten lake (Xinjiang, China)

Influence of environmental parameters on the distribution of subfossil chironomids in surface sediments of Bosten lake (Xinjiang, China)
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环境参数对博斯腾湖表层沉积物亚化石摇蚊分布的影响(中国新疆)

DOI:
10.4081/jlimnol.2012.e31
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发表时间:
2012-07
影响因子:
1.6
通讯作者:
Ji Shen
Ji Shen
中科院分区:
环境科学与生态学4区
文献类型:
--
作者:
Enlou Zhang;Boying Zheng;Yanmin Cao;Guang Gao;Ji Shen

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分析了Bosten湖表层沉积物亚化石摇尾鱼幼虫的分布,并采用排序方法确定了理化参数对摇尾鱼丰度和多样性的影响。在32个样本中共鉴定出18个chironomid分类群,其中15个分类群的丰度最低为bb0.1 %,且存在于多个地点。经鉴定的18个Chironomus plumosus型、Microchironomus和Tanytarsus glabrescens型是数量最多的Chironomus。博斯腾湖内主要摇尾虫种的分布具有空间异质性。在博斯腾湖西北部的黄水湾,发现了一种主要的裸毛藻类型,具有较高的盐度和有机质含量。微摇虫主要分布在博斯腾湖西南部的开都河口,而C. plumosu s型在湖心深处更为丰富,说明水化学、水动力学和水深对摇虫分布的重要性。利用冗余分析方法评价了手摇鱼分布与环境参数的关系,结果表明:水体深度、Secchi深度和盐度是影响了手摇鱼分布的主要因素;这些因素分别解释了18.3%、5.3%和5.0%的手性方差。我们的地表沉积物数据为分析受全球气候变化和区域水资源管理影响的西北干旱区湖泊未来环境变化提供了基线。
The distribution of larval subfossil chironomids in surface sediment samples obtained from Bosten lake was analysed, and ordination methods were used to identify the influences of physical and chemical parameters on the abundance and diversity of chironomids. A total of 18 chironomid taxa was identified across the 32 samples, 15 of which showed minimum abundance of >1% and were present in more than one site. Chironomus plumosus -type, Microchironomus and Tanytarsus glabrescens -type were the most abundant of the 18 chironomid taxa identified. The distribution of the main chironomid species within Bosten Lake exhibited spatial heterogeneity. T. glabrescens- type was found to dominate Huangshuiwan, in the northwest part of Bosten lake, which had higher salinity and organic content. Microchironomus was mainly distributed in the Kaidu river mouth, in the southwest part of Bosten lake, whereas C. plumosu s-type was more abundant in the deep centre, suggesting the importance of water chemistry, water dynamics and water depth on chironomid distribution. The relationship of chironomid distribution with environmental parameters was assessed using redundancy analysis, and the results revealed that water depth, Secchi depth and salinity were the predominant factors influencing chironomid distribution; these factors could explain the chironomid variances of 18.3, 5.3 and 5.0%, respectively. Our surface sediment-derived data provide a baseline for the analysis of future environmental variations of the lakes in the arid regions of northwest China, which are threatened by impacts of global climate change and regional water management.
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