Publications by authors named "P Salmi"
Eutrophication, i.e. increasing level of nutrients and primary production, is a central environmental change of lakes globally with wide effects on food webs.
View Article and Find Full Text PDFTemperature increases driven by climate change are expected to decrease the availability of polyunsaturated fatty acids in lakes worldwide. Nevertheless, a comprehensive understanding of the joint effects of lake trophic status, nutrient dynamics and warming on the availability of these biomolecules is lacking. Here, we conducted a laboratory experiment to study how warming (18-23°C) interacts with phosphorus (0.
View Article and Find Full Text PDFChemotaxonomic biomarkers are needed to monitor and evaluate the nutritional quality of phytoplankton communities. The biomolecules produced by different phytoplankton species do not always follow genetic phylogeny. Therefore, we analyzed fatty acids, sterols, and carotenoids from 57 freshwater phytoplankton strains to evaluate the usability of these biomolecules as chemotaxonomic biomarkers.
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- * A study on the mixotrophic algal species Cryptomonas sp. showed that it thrived under high DOC conditions without a decline in growth, adapting by increasing heterotrophic processes while down-regulating photosynthetic genes.
- * Despite changes in metabolism, the essential fatty acid content remained stable while sterol levels slightly increased, indicating that mixotrophs can maintain access to important biomolecules for higher trophic levels even in browning environments.
Present practices in the microscopic counting of phytoplankton to estimate the reliability of results rely on the assumption of a random distribution of taxa in sample preparations. In contrast to that and in agreement with the literature, we show that aggregated distribution is common and can lead to over-optimistic confidence intervals, if estimated according to the shortcut procedure of Lund based on the number of counted cells. We found a good linear correlation between the distribution independent confidence intervals for medians and those for parametric statistics so that 95% confidence intervals can be approximated by using a correction factor of 1.
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