National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; State Environmental Protection Key Laboratory for Lake Pollution Control, State Environmental Protection Key Laboratory of Drinking Water Source Protection, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; School of Environment, Tsinghua University, Beijing, 100084, China.
National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; State Environmental Protection Key Laboratory for Lake Pollution Control, State Environmental Protection Key Laboratory of Drinking Water Source Protection, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
J Environ Manage. 2023 Nov 1;345:118693. doi: 10.1016/j.jenvman.2023.118693. Epub 2023 Aug 18.
Effects of climate change and nutrient load caused by human activities on lake phytoplankton blooms have attracted much attention globally. However, their roles and synergistic effects on phytoplankton biomass and community historical succession are not well understood, especially for meso-eutrophic plateau lakes. In this study, a multi-year (1997-2022) monthly dataset including hydro-chemical and meteorological indicators of the meso-eutrophic plateau lake Erhai in China, was used to explore the contributions of climate change and nutrients on phytoplankton biomass variation and community succession. Phytoplankton biomass increased from 1997 to 2006, slowly decreased from 2006 to 2015, then increased again from 2015 to 2022, according to a generalised additive model (GAM). Alongside warming, nitrogen, phosphorus and organic matter are key drivers of long-term interannual variation in phytoplankton biomass and historical succession of the phytoplankton community. The extensive blooms in recent years were strongly associated with both organic matter accumulation and global warming. Phytoplankton biomass in northern and southern districts was greater than in central areas, with Cyanophyta and Pyrrophyta dominating in the north and Chlorophyta prevalent in the south. Since 2015, phytoplankton diversity has increased significantly, and biomass has declined in the southern district but increased markedly in the northern district. Spatial heterogeneity was caused by the spatial distribution of nutrients and the buoyancy regulation capacity of cyanobacteria. The results demonstrate that bloom mitigation responds strongly to nitrogen and phosphorus control in meso-eutrophic lakes, therefore preventing and controlling blooms through nitrogen and phosphorus reduction is still an effective measure. Given the accumulation of organic matter in recent years, synergistic control of organic matter and total nitrogen and phosphorus could effectively reduce the risk of cyanobacterial and dinoflagellate blooms.
气候变化和人类活动引起的养分负荷对湖泊浮游植物水华的影响在全球范围内引起了广泛关注。然而,它们对浮游植物生物量和群落历史演替的作用及其协同效应尚不清楚,特别是对于中营养型高原湖泊。本研究利用中国中营养型高原湖泊洱海多年(1997-2022 年)逐月数据集,包括水化学和气象指标,探讨了气候变化和养分对浮游植物生物量变化和群落演替的贡献。广义加性模型(GAM)表明,浮游植物生物量从 1997 年到 2006 年增加,从 2006 年到 2015 年缓慢减少,然后从 2015 年到 2022 年再次增加。随着变暖,氮、磷和有机物是浮游植物生物量长期年际变化和浮游植物群落历史演替的关键驱动因素。近年来广泛发生的水华与有机物积累和全球变暖密切相关。北部和南部地区的浮游植物生物量大于中部地区,北部地区以蓝藻和甲藻为主,南部地区以绿藻为主。自 2015 年以来,浮游植物多样性显著增加,南部地区生物量下降,而北部地区显著增加。这种空间异质性是由营养物质的空间分布和蓝藻的浮力调节能力引起的。研究结果表明,在中营养型湖泊中,水华缓解对氮、磷的控制反应强烈,因此,通过减少氮、磷来防止和控制水华仍然是一种有效的措施。鉴于近年来有机物的积累,有机物质和总氮、磷的协同控制可以有效地降低蓝藻和甲藻水华的风险。