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Phytoplankton responses to meteorological and hydrological forcing at decadal to seasonal time scales
被引:5
|作者:
Janatian, Nasime
[1
,2
]
Olli, Kalle
[1
,3
]
Noges, Peeter
[1
]
机构:
[1] Estonian Univ Life Sci, Chair Hydrobiol & Fishery, Tartu, Estonia
[2] Univ Barcelona, Dept Evolutionary Biol Ecol & Environm Sci, Barcelona, Spain
[3] Univ Tartu, Inst Ecol & Earth Sci, Tartu, Estonia
基金:
欧盟地平线“2020”;
关键词:
Phytoplankton dynamics;
Large shallow lake;
Long-term data;
Variance partitioning;
Time scale;
Lake Võ
rtsjä
rv;
LAKE VORTSJARV;
CLIMATE;
SHALLOW;
VARIABILITY;
NUTRIENTS;
DYNAMICS;
PHENOLOGY;
TURNOVER;
SHIFTS;
DEPTH;
D O I:
10.1007/s10750-021-04594-x
中图分类号:
Q17 [水生生物学];
学科分类号:
071004 ;
摘要:
One of the challenges for predicting global change effects on aquatic ecosystems is the vague understanding of the mechanisms of multiple controlling factors affecting phytoplankton dynamics at different time scales. Here we distinguish between hydrometeorological forcing of phytoplankton dynamics at time scales from days to decades based on a 54-year monthly phytoplankton time series from a large shallow Lake Vortsjarv (58 degrees 16 ' N, 26 degrees 02 ' E) in Estonia, combined with daily data on forcing factors-thermal-, wind-, light- and water-level regimes. By using variance partitioning with linear mixed effect modelling (LME), we found a continuum from the large dominant K-selected filamentous cyanobacteria with strongest decadal scale variation (8-30%) to r-selected phytoflagellates with large stochastic variability (80-96%). External forcing revealed strong seasonal variation (up to 80%), while specifically water level and wind speed had a robust decadal variation (8% and 20%, respectively). The effect of external variables was proportionally manifested in the time scales of phytoplankton variation. Temperature, with a clear seasonal variation, had no impact on the dominant cold tolerant filamentous cyanobacteria in Lake Vortsjarv. We found the LME as a reliable method for resolving the temporal cross-scale problem. It yielded quantitative results that matched our intuitive understanding of the dynamics of different variables.
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页码:2745 / 2759
页数:15
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