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Factors controlling the three-decade long rise in cyanobacteria biomass in a eutrophic shallow lake
- Source :
- Science of the Total Environment
- Publication Year :
- 2018
-
Abstract
- We aimed at quantifying the importance of limnological variables in the decadal rise of cyanobacteria biomass in shallow hemiboreal lakes. We constructed estimates of cyanobacteria (blue-green algae) biomass in a large, eutrophic lake (Estonia, Northeastern Europe) from a database comprising 28 limnological variables and spanning more than 50 years of monitoring. Using a dual-model approach consisting in a boosted regression trees (BRT) followed by a generalized least squares (GLS) model, our results revealed that six variables were most influential for assessing the variance of cyanobacteria biomass. Cyanobacteria response to nitrate concentration and rotifer abundance was negative, whereas it was positive to pH, temperature, cladoceran and copepod biomass. Response to total phosphorus (TP) and total phosphorus to total nitrogen ratio was very weak, which suggests that actual in-lake TP concentration is still above limiting values. The most efficient GLS model, which explained nearly two thirds (r2 = 0.65) of the variance of cyanobacteria biomass included nitrate concentration, water temperature and pH. The very high number of observations (maximum n = 525) supports the robustness of the models. Our results suggest that the decadal rise of blue-green algae in shallow lakes lies in the interaction between cultural eutrophication and global warming which bring in-lake physical and chemical conditions closer to cyanobacteria optima. This research was supported by Start-Up Per- sonal Research Grant PUT 777 to FC and IUT 21-2 of the Estonian Ministry of Education and Research and by MARS project (Managing Aquatic ecosystems and water Resources under multiple Stress) funded under the EU 7th Framework Programme, Theme 6 (Environment including Climate Change), Contract No.: 603378 (http://www.mars- project.eu). This research was supported by Start-Up Per- sonal Research Grant PUT 777 to FC and IUT 21-2 of the Estonian Ministry of Education and Research and by MARS project (Managing Aquatic ecosystems and water Resources under multiple Stress) funded under the EU 7th Framework Programme, Theme 6 (Environment in- cluding Climate Change), Contract No.: 603378 (http://www.mars- project.eu).
- Subjects :
- zooplankton
Estonia
0106 biological sciences
Cyanobacteria
Environmental Engineering
Rotifera
boosted regression trees
010501 environmental sciences
Atmospheric sciences
01 natural sciences
Zooplankton
Copepoda
chemistry.chemical_compound
Nitrate
Algae
Phytoplankton
Animals
Environmental Chemistry
Biomass
Waste Management and Disposal
0105 earth and related environmental sciences
Biomass (ecology)
biology
Hemiboreal
nitrates
Ecology
010604 marine biology & hydrobiology
Phosphorus
Eutrophication
Cladocera
biology.organism_classification
Pollution
Lakes
chemistry
phytoplankton
generalized least squares model
articles
Environmental science
Subjects
Details
- ISSN :
- 00489697
- Database :
- OpenAIRE
- Journal :
- Science of the Total Environment
- Accession number :
- edsair.doi.dedup.....48b8f36583eff6420e190144eb9472d1
- Full Text :
- https://doi.org/10.1016/j.scitotenv.2017.11.250