Exploring How Cyanobacterial Traits Affect Nutrient Loading Thresholds in Shallow Lakes: A Modelling Approach
Exploring How Cyanobacterial Traits Affect Nutrient Loading Thresholds in Shallow Lakes: A Modelling Approach
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DOI：
10.3390/w12092467
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发表时间：
2020-09
期刊：
影响因子：
3.4
通讯作者：
Manqi Chang;S. Teurlincx;J. Janse;H. Paerl;W. Mooij;A. Janssen
中科院分区：
文献类型：
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作者：
Manqi Chang;S. Teurlincx;J. Janse;H. Paerl;W. Mooij;A. Janssen
在全球范围内，由于富营养化，许多浅湖已经从一个明确的大型植物为主的状态转变为一个浑浊的浮游植物为主的状态。这种变化往往伴随着有毒的蓝藻繁殖，具有特殊的特征，包括浮力调节和固氮。以前的工作集中在这些特征如何有助于蓝藻的竞争力。然而，关于这些特征如何影响浅湖营养物负荷阈值，人们知之甚少。这些阈值被定义为湖泊改变水质状态的营养负荷。在这里，我们使用建模方法来估计性状对营养负荷阈值的影响。我们将蓝藻特征纳入基于过程的生态系统模型PCLake+，以其确定营养负荷阈值的能力而闻名。模拟了四种情况，包括无特征的蓝藻、有浮力调节的蓝藻、有固氮的蓝藻和同时具有这四种特征的蓝藻。在限氮、限磷和限磷条件下获得养分负荷阈值。结果表明，蓝藻特征会阻碍通过减少营养负荷来消除蓝藻华的湖泊恢复行动。然而，这些特征对富营养化湖泊的营养负荷阈值几乎没有影响。本研究结果为营养物负荷阈值的确定提供了参考，并引起了人们对富营养化水体修复过程中蓝藻特征的关注。
Globally, many shallow lakes have shifted from a clear macrophyte-dominated state to a turbid phytoplankton-dominated state due to eutrophication. Such shifts are often accompanied by toxic cyanobacterial blooms, with specialized traits including buoyancy regulation and nitrogen fixation. Previous work has focused on how these traits contribute to cyanobacterial competitiveness. Yet, little is known on how these traits affect the value of nutrient loading thresholds of shallow lakes. These thresholds are defined as the nutrient loading at which lakes shift water quality state. Here, we used a modelling approach to estimate the effects of traits on nutrient loading thresholds. We incorporated cyanobacterial traits in the process-based ecosystem model PCLake+, known for its ability to determine nutrient loading thresholds. Four scenarios were simulated, including cyanobacteria without traits, with buoyancy regulation, with nitrogen fixation, and with both traits. Nutrient loading thresholds were obtained under N-limited, P-limited, and colimited conditions. Results show that cyanobacterial traits can impede lake restoration actions aimed at removing cyanobacterial blooms via nutrient loading reduction. However, these traits hardly affect the nutrient loading thresholds for clear lakes experiencing eutrophication. Our results provide references for nutrient loading thresholds and draw attention to cyanobacterial traits during the remediation of eutrophic water bodies.