Spatiotemporal variability of phytoplankton functional groups in a shallow eutrophic lake from cold, arid regions
Spatiotemporal variability of phytoplankton functional groups in a shallow eutrophic lake from cold, arid regions
复制标题
寒旱区浅层富营养化湖泊浮游植物功能群时空变异
DOI：
10.1007/s10661-020-08349-4
复制
发表时间：
2020-05-15
影响因子：
3
通讯作者：
Hao, Yanling
中科院分区：
文献类型：
--
作者：
Jin, Ye;Yu, Ruihong;Hao, Yanling
在寒冷干旱地区的浅水富营养化湖泊中，浮游植物功能群及其时空变化的驱动因素尚不清楚。于2017年4月、8月和10月（雨季）以及2018年1月（旱季）从乌兰苏海采集样本。根据功能群划分方法，共划分出5大类23个浮游植物功能群。在丰水期，大量的营养盐，温度升高，和强降雨产生的时空变化的浮游植物群落，而在旱季，冰冻期是决定浮游植物群落的时空变化的关键因素。通过冗余度分析发现，总氮和总磷浓度直接影响浮游植物的生长，藻类生长影响化学需氧量，pH和环境因子与浮游植物生长存在交互作用。这些结果突出了干旱地区浅水富营养化湖泊生态系统的复杂反馈。TC群（以鞘丝藻为代表）与黄台藻相关。8月，黄台藻华导致相对稳定的水柱，这有利于集团TC的增长。因此，某些浮游植物功能群的存在可以通过识别黄台藻的覆盖度来指示当前的湖泊状况，这为潜在的水华预警提供了科学依据。
In the shallow eutrophic lakes in cold, arid regions, the phytoplankton functional groups and the factors that drive their spatiotemporal variabilities remain unclear. Samples were collected from Lake Ulansuhai in April, August, and October 2017 (wet season) and January 2018 (dry season). Based on the functional group classification method, 23 phytoplankton functional groups with 5 major ones were identified. During the wet season, high amounts of nutrients, elevated temperatures, and heavy rainfall produced spatiotemporal variabilities in phytoplankton communities, whereas during the dry season, the frozen period was the critical factor that determined the spatiotemporal variabilities in the phytoplankton communities. Through redundancy analyses, total nitrogen and total phosphorus concentrations were observed to directly affect the phytoplankton growth; algal growth affected the chemical oxygen demand, and pH and environmental factors interacted with the phytoplankton growth. These results highlight the complex feedbacks of shallow eutrophic lake ecosystems in arid regions. Group TC (represented byLyngbya) was correlated with Huangtai algae. In August, a Huangtai algal bloom resulted in a relatively stable water column, which was conducive to group TC growth. Therefore, the presence of certain phytoplankton functional groups can indicate the current lake conditions by identifying the coverage of Huangtai algae, which provides a scientific basis for an early warning of a potential algal bloom.