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Published on: October 10, 2020
Modelling long-term ecotoxicological effects on an algal population under dynamic nutrient stress
1Vrije Universiteit, Faculty of Earth & Life Sciences, Department of Theoretical Biology, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands. daniel.bontje@falw.vu.nl
Toxicants and nutrient stress can drive algal populations to extinction in aquatic ecosystems. This study models these effects to predict toxicant concentrations causing algal population collapse, informing ecosystem risk assessments.
Area of Science:
- Ecotoxicology
- Aquatic Ecology
- Mathematical Modeling
Background:
- Aquatic ecosystems face dual threats from nutrient pollution and toxicant contamination.
- Algal populations are crucial primary producers, sensitive to environmental stressors.
- Understanding combined ecological and toxicological effects is vital for risk assessment.
Purpose of the Study:
- To develop and apply a parameter-sparse model simulating toxicant effects on algae in an aquatic microcosm.
- To investigate the interactive effects of nutrient and toxicant stress on algal population dynamics.
- To estimate the toxicant concentration leading to algal extinction under nutrient limitation.
Main Methods:
- Utilized a parameter-sparse ecological model coupled with a toxicity module.
- Incorporated nutrient cycling (dissolved inorganic nitrogen - DIN) and bacterial mineralization.
- Calibrated model parameters using experimental data on Cryptomonas sp. exposed to herbicides and insecticides.
Main Results:
- Both nutrient and toxicant stress, individually or combined, can lead to algal population extinction.
- The model successfully simulates the interplay between ecological and toxicological impacts.
- Experimental data on Cryptomonas sp. exposed to prometryn and methyl parathion were used for parameter fitting.
Conclusions:
- The developed model provides a framework for assessing toxicant impacts on aquatic ecosystems.
- Predicting extinction thresholds for algal populations under combined stressors is feasible.
- Results aid in understanding broader ecosystem responses to environmental and toxicological pressures.
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