Limnology/Department of Ecology and Evolution, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.
Ecol Appl. 2010 Apr;20(3):752-67. doi: 10.1890/08-2109.1.
The climate is expected to become warmer and wetter in many temperate regions and is expected to affect the water quality in lakes and reservoirs. In this paper, we investigate the impacts of a regional climate scenario on lake productivity using three models in sequence and quantify the response in biomass of three phytoplankton groups. We used a watershed model (GWLF), a physical lake model (PROBE), and a phytoplankton model (PROTBAS) for simulations of a large (61 km2), shallow (mean depth 3.4 m), wind-exposed lake basin with a short water retention time (1 month) at the western end of Lake Mälaren, Sweden. The results suggest that a future scenario with increased warming leads to a longer growing season for phytoplankton, slightly increased levels of total biomass, and a distinct shift in phytoplankton groups to favor nitrogen-fixing cyanobacteria at the expense of diatoms in this lake basin. The changes in the timing of nutrient export from the catchment are the primary cause of cyanobacteria dominance over diatoms, and elevated lake temperatures are responsible for the increase in total phytoplankton biomass.
预计在许多温带地区,气候将变得更加温暖和湿润,并预计会影响湖泊和水库的水质。本文采用三种模型依次研究区域气候情景对湖泊生产力的影响,并量化三种浮游植物群生物量的响应。我们使用流域模型(GWLF)、物理湖泊模型(PROBE)和浮游植物模型(PROTBAS)对瑞典梅拉伦湖西部一个大(61 平方公里)、浅(平均深度 3.4 米)、受风浪影响且储水时间短(1 个月)的湖泊流域进行了模拟。结果表明,未来气候变暖的情景会导致浮游植物的生长期延长,总生物量略有增加,浮游植物群发生明显变化,以固氮蓝藻取代硅藻,在这个湖泊流域占据优势。从集水区输出养分的时间变化是蓝藻占优势于硅藻的主要原因,而湖泊温度升高则是浮游植物总生物量增加的原因。