Species interactions and chemical stress: Combined effects of intraspecific and interspecific interactions and pyrene on Daphnia magna population dynamics

Species interactions are often suggested as an important factor when assessing the effects of chemicals on higher levels of biological organization. Nevertheless, the contribution of intraspecific and interspecific interactions to chemical effects on populations is often overlooked. In the present study, Daphnia magna populations were initiated with different levels of intraspecific competition, interspecific competition, and predation and exposed to pyrene pulses. Generalized linear models were used to test which of these factors significantly explained population size and structure at different time points. Pyrene had a negative effect on total population densities, with effects being more pronounced on smaller D. magna individuals. Among all species interactions tested, predation had the largest negative effect on population densities. Predation and high initial intraspecific competition were shown to interact antagonistically with pyrene exposure. This was attributed to differences in population structure before pyrene exposure and pyrene-induced reductions in predation pressure by Chaoborus sp. larvae. The present study provides empirical evidence that species interactions within and between populations can alter the response of aquatic populations to chemical exposure. Therefore, such interactions are important factors to be considered in ecological risk assessments.

[1]  Van den Brink PJ,et al.  Impact of the fungicide carbendazim in freshwater microcosms. II. Zooplankton, primary producers and final conclusions. , 2000, Aquatic toxicology.

[2]  P. Vanrolleghem,et al.  Validation of an ecosystem modelling approach as a tool for ecological effect assessments. , 2008, Chemosphere.

[3]  P. Crumrine,et al.  EFFECTS OF AN HERBICIDE AND AN INSECTICIDE ON POND COMMUNITY STRUCTURE AND PROCESSES , 2005 .

[4]  W. Shiu,et al.  Illustrated handbook of physical-chemical properties and environmental fate for organic chemicals. Volume 5: pesticide chemicals. , 1992 .

[5]  L. Meester,et al.  Synergistic, antagonistic and additive effects of multiple stressors: predation threat, parasitism and pesticide exposure in Daphnia magna , 2008 .

[6]  M. Liebig,et al.  Modelling long-term ecotoxicological effects on an algal population under dynamic nutrient stress. , 2009, Water research.

[7]  David J. Hansen,et al.  Technical basis for narcotic chemicals and polycyclic aromatic hydrocarbon criteria. I. Water and tissue , 2000 .

[8]  M. C. Swift Prey capture by the four larval instars of Chaoborus crystallinus , 1992 .

[9]  J. J. Gilbert Competition between Rotifers and Daphnia , 1985 .

[10]  J. Bellas,et al.  Ecotoxicological evaluation of polycyclic aromatic hydrocarbons using marine invertebrate embryo-larval bioassays. , 2008, Marine pollution bulletin.

[11]  T. Hanazato,et al.  Pesticide effects on freshwater zooplankton: an ecological perspective. , 2001, Environmental pollution.

[12]  S. Klaine,et al.  Influence of organism age on metal toxicity to Daphnia magna , 2007, Environmental toxicology and chemistry.

[13]  Matthias Liess,et al.  Interspecific competition delays recovery of Daphnia spp. populations from pesticide stress , 2012, Ecotoxicology.

[14]  A. Zuur,et al.  Mixed Effects Models and Extensions in Ecology with R , 2009 .

[15]  Graeme M. Smith,et al.  Effects of Contaminants on Behavior: Biochemical Mechanisms and Ecological Consequences , 2001 .

[16]  P. Vanrolleghem,et al.  Do we have to incorporate ecological interactions in the sensitivity assessment of ecosystems? An examination of a theoretical assumption underlying species sensitivity distribution models. , 2008, Environment international.

[17]  L. Maltby,et al.  Spray drift of pesticides and stream macroinvertebrates: experimental evidence of impacts and effectiveness of mitigation measures. , 2008, Environmental pollution.

[18]  R. Nisbet,et al.  Indirect effects of contaminants in aquatic ecosystems. , 2003, The Science of the total environment.

[19]  Colin R. Janssen,et al.  The ChimERA project: coupling mechanistic exposure and effect models into an integrated platform for ecological risk assessment , 2014, Environmental Science and Pollution Research.

[20]  Bas Kooijman,et al.  Dynamic Energy Budget Theory for Metabolic Organisation , 2005 .

[21]  M. Liebig,et al.  Direct and indirect effects of pollutants on algae and algivorous ciliates in an aquatic indoor microcosm. , 2008, Aquatic toxicology.

[22]  A Jan Hendriks,et al.  MODELING TOXIC STRESS BY ATRAZINE IN A MARINE CONSUMER‐RESOURCE SYSTEM , 2013, Environmental toxicology and chemistry.

[23]  R. Tollrian Neckteeth formation in Daphnia pulex as an example of continuous phenotypic plasticity: morphological effects of Chaoborus kairomone concentration and their quantification , 1993 .

[24]  B. Preston,et al.  Indirect Effects in Aquatic Ecotoxicology: Implications for Ecological Risk Assessment , 2002, Environmental management.

[25]  Matthias Liess,et al.  Competition increases toxicant sensitivity and delays the recovery of two interacting populations. , 2012, Aquatic toxicology.

[26]  Matthias Liess,et al.  Intraspecific competition increases toxicant effects in outdoor pond microcosms , 2012, Ecotoxicology.

[27]  H. Dumont,et al.  The dry weight estimate of chaoborus flavicans (Meigen) as a function of length and instars , 1979, Hydrobiologia.

[28]  A. Schäffer,et al.  Predicting the sensitivity of populations from individual exposure to chemicals: The role of ecological interactions , 2014, Environmental toxicology and chemistry.

[29]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[30]  Matthias Liess,et al.  Intraspecific competition delays recovery of population structure. , 2010, Aquatic toxicology.

[31]  Frederik De Laender,et al.  Brief communication: The ecosystem perspective in ecotoxicology as a way forward for the ecological risk assessment of chemicals , 2013, Integrated environmental assessment and management.

[32]  Colin R. Janssen,et al.  Age and exposure duration as a factor influencing Cu and Zn toxicity toward Daphnia magna. , 2007, Ecotoxicology and environmental safety.

[33]  A. Di Guardo,et al.  Evaluating the temporal variability of concentrations of POPs in a glacier-fed stream food chain using a combined modeling approach. , 2014, The Science of the total environment.

[34]  Henri J. Dumont,et al.  The dry weight estimate of biomass in a selection of Cladocera, Copepoda and Rotifera from the plankton, periphyton and benthos of continental waters , 1975, Oecologia.

[35]  U. Hommen,et al.  Development and validation of an individual based Daphnia magna population model: The influence of crowding on population dynamics , 2009 .

[36]  P. J. Van den Brink,et al.  Potential application of population models in the European ecological risk assessment of chemicals II: Review of models and their potential to address environmental protection aims , 2010, Integrated environmental assessment and management.

[37]  V. Grimm,et al.  Chemical and natural stressors combined: from cryptic effects to population extinction , 2013, Scientific Reports.