Combination of a higher-tier flow-through system and population modeling to assess the effects of time-variable exposure of isoproturon on the green algae Desmodesmus subspicatus and Pseudokirchneriella subcapitata.
A flow-through system was developed to investigate the effects of time-variable exposure of pesticides on algae. A recently developed algae population model was used for simulations supported and verified by laboratory experiments. Flow-through studies with Desmodesmus subspicatus and Pseudokirchneriella subcapitata under time-variable exposure to isoproturon were performed, in which the exposure patterns were based on the results of FOrum for Co-ordination of pesticide fate models and their USe (FOCUS) model calculations for typical exposure situations via runoff or drain flow. Different types of pulsed exposure events were realized, including a whole range of repeated pulsed and steep peaks as well as periods of constant exposure. Both species recovered quickly in terms of growth from short-term exposure and according to substance dissipation from the system. Even at a peak 10 times the maximum predicted environmental concentration of isoproturon, only transient effects occurred on algae populations. No modified sensitivity or reduced growth was observed after repeated exposure. Model predictions of algal growth in the flow-through tests agreed well with the experimental data. The experimental boundary conditions and the physiological properties of the algae were used as the only model input. No calibration or parameter fitting was necessary. The combination of the flow-through experiments with the algae population model was revealed to be a powerful tool for the assessment of pulsed exposure on algae. It allowed investigating the growth reduction and recovery potential of algae after complex exposure, which is not possible with standard laboratory experiments alone. The results of the combined approach confirm the beneficial use of population models as supporting tools in higher-tier risk assessments of pesticides.
Institute of Environmental Research, RWTH Aachen University, Aachen, Germany. denis_weber@gmx.de
Denis
D
Weber
Dieter
D
Schaefer
Michael
M
Dorgerloh
Eric
E
Bruns
Gerhard
G
Goerlitz
Klaus
K
Hammel
Thomas G
TG
Preuss
Hans Toni
HT
Ratte
D000460:Chlorophyta / Q000187:drug effects* / Q000254:growth & development; D004463:Ecology / Q000379:methods; D004781:Environmental Exposure / Q000009:adverse effects; D008027:Light; D008962:Models, Theoretical; D010575:Pesticides / Q000494:pharmacology*; D010671:Phenylurea Compounds / Q000494:pharmacology*; D010758:Phosphorus / Q000378:metabolism; D011157:Population Dynamics; D013696:Temperature
D010575:Pesticides; D010671:Phenylurea Compounds; D010758:Phosphorus; C028904:isoproturon