Is the future of large shallow lakes blue-green? Comparing the response of a catchment-lake model chain to climate predictions
Fabien Cremona (),
Sirje Vilbaste,
Raoul-Marie Couture,
Peeter Nõges and
Tiina Nõges
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Fabien Cremona: Estonian University of Life Sciences
Sirje Vilbaste: Estonian University of Life Sciences
Raoul-Marie Couture: Norwegian Institute for Water Research
Peeter Nõges: Estonian University of Life Sciences
Tiina Nõges: Estonian University of Life Sciences
Climatic Change, 2017, vol. 141, issue 2, No 15, 347-361
Abstract:
Abstract We constructed a model chain into which regional climate-related variables (air temperature, precipitation) and a lake’s main tributary hydrological indicators (river flow, dissolved inorganic carbon) were employed for predicting the evolution of planktonic blue-green algae (cyanobacteria) and zooplankton (rotifer) biomass in that lake for the mid-21st century. Simulations were based on the future climate predicted under both the Representative Concentration Pathways 4.5 and 8.5 scenarios which, combined with three realistic policy-making and basin land-use evolution lead to six scenarios for future water quality. Model outputs revealed that mean annual river flow is expected to decline between 3 and 20%, depending on the scenario. Concentration of river dissolved inorganic carbon is predicted to follow the opposite trend and might soar up to twice the 2005–2014 average concentration. Lake planktonic primary producers will display quantitative changes in the future decades whereas zooplankters will not. A 2 to 10% increase in mean cyanobacteria biomass is accompanied by a stagnation (−3 to +2%) of rotifer biomass. Changes in cyanobacteria and rotifer phenology are expected: a surge of cyanobacteria biomass in winter and a shortening of the rotifer biomass spring peak. The expected quantitative changes on the biota were magnified in those scenarios where forested area conversions to cropland and water abstraction were the greatest.
Keywords: Phytoplankton; Dissolve Inorganic Carbon; Shallow Lake; Water Abstraction; Geophysical Fluid Dynamics Laboratory (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s10584-016-1894-8
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