2007); often, there are also diverse changes in water levels, hab

2007); often, there are also diverse changes in water levels, habitat structures and water residence times (Jones & Elliot 2007). The trend of increasing water temperatures and longer ice-free periods in recent decades, confirmed in Lake Onega, was also found to apply to various small lakes in north-western Russia, Finland, Sweden, Norway (Weyhenmeyer et al. 1999, Adrian et al.2009, Finland’s Fifth National Communication under the United Nations Framework

Conventions on climate change, 2010 and Efremova et al., 2010) and other regions (Austin & Colman 2008). For example, it was found in Lake Superior, the largest GSK1120212 solubility dmso and coldest of the North American Great Lakes, that the summer water temperature had increased Selleckchem 17-AAG by 3.5°C over the previous 100 years (Austin & Colman 2008): this is the greatest warming of any lacustrine ecosystem in the last three decades. Significant correlations between physical parameters (ice-free period, water temperature, precipitation) and different characteristics of biota (Chl a, zoobenthos), revealed by the present study of the Petrozavodsk Bay ecosystem, were also found for other shallow and relatively unpolluted small lakes in northern Russia ( Maksimov et al. 2012). The expected impacts

on biota, however, can differ strongly between ecosystems depending on the climatic region. One of the first studies of the impact of climate on biota was done by Adrian et al., 1995 and Adrian et al., 1999 and showed that the composition, timing and maximum abundance of the phytoplankton and zooplankton communities that start to develop in the spring

were strongly dependent on the duration of the winter ice-cover. In different lakes climate warming leads to greater primary productivity with intense algal blooms Baf-A1 nmr (Blenckner et al., 2007 and Jeppesen et al., 2009). As far as Lake Onega is concerned, we also found a close correlation between the abundance of phytoplankton and, in particular, between the abundance of Cyanobacteria and climatic variables (especially NAO). The positive correlations between NAO and summer Cyanobacteria abundance found for the study area may be mediated by the precipitation rate. This rate increases significantly in years with a high positive NAO, resulting in an increase of nutrient loading from the catchment area. The Cyanobacteria bloom, a common summer phenomenon, has been observed in Petrozavodsk Bay since the 1980s (Sharov 2008). Results from Swedish lakes (Weyhenmeyer 2004) and Lake Pääjärvi, Finland (Järvinen et al. 2006) suggest, moreover, that temperature-sensitive phytoplankton groups such as Cyanobacteria and Chlorophyta would benefit from the earlier warming-up of the lake water and the earlier onset of temperature stratification. Water temperature was distinguished as the most important factor reflecting climatic variability in different studies (Adrian et al. 2009).

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