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Seasonal dynamics of the macrophyte test species Myriophyllum spicatum over two years in experimental ditches for population modeling application in risk assessment.
Arts, Gertie H P; van Smeden, Jasper; Wolters, Marieke F; Belgers, J Dick M; Matser, Arrienne M; Hommen, Udo; Bruns, Eric; Heine, Simon; Solga, Andreas; Taylor, Seamus.
Afiliación
  • Arts GHP; Environmental Risk Assessment, Wageningen University and Research, Wageningen, The Netherlands.
  • van Smeden J; Environmental Risk Assessment, Wageningen University and Research, Wageningen, The Netherlands.
  • Wolters MF; Environmental Risk Assessment, Wageningen University and Research, Wageningen, The Netherlands.
  • Belgers JDM; Environmental Risk Assessment, Wageningen University and Research, Wageningen, The Netherlands.
  • Matser AM; Environmental Risk Assessment, Wageningen University and Research, Wageningen, The Netherlands.
  • Hommen U; Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Schmallenberg, Germany.
  • Bruns E; Bayer AG, Monheim, Germany.
  • Heine S; Bayer AG, Monheim, Germany.
  • Solga A; Bayer AG, Monheim, Germany.
  • Taylor S; Adama Agricultural Solutions UK Ltd., Reading, UK.
Integr Environ Assess Manag ; 18(5): 1375-1386, 2022 Sep.
Article en En | MEDLINE | ID: mdl-34755447
Myriophyllum spicatum is a sediment-rooted, aquatic macrophyte growing submerged, with a wide geographical distribution and high ecological relevance in freshwater ecosystems. It is used in testing and risk assessment for pesticides in water and sediment. Population models enable effects measured under laboratory conditions to be extrapolated to effects expected in the field with time-variable environmental factors including exposure. These models are a promising tool in higher-tier risk assessments. However, there is a lack of data on the seasonal dynamics of M. spicatum, which is needed to test model predictions of typical population dynamics in the field. To generate such data, a two-year study was set up in outdoor experimental systems from May 2017 to May 2019. The growth of M. spicatum was monitored in 0.2025 m2 plant baskets installed in an experimental ditch. Parameters monitored included biomass (fresh weight [FW] and dry weight [DW]), shoot length, seasonal short-term growth rates of shoots, relevant environmental parameters, and weather data. The results showed a clear seasonal pattern of biomass and shoot length and their variability. M. spicatum reached a maximum total shoot length (TSL) of 279 m m-2 and a maximum standing crop above-ground DW of 262 g m-2 . Periodical growth rates reached up to 0.072, 0.095, and 0.085 day-1 for total length, FW, and DW, respectively. Multivariate regression revealed that pH (as a surrogate for the availability of carbon species) and water temperature could explain a significant proportion of the variability in M. spicatum growth rates (p < 0.05). This study has provided an ecologically relevant data set on seasonal population dynamics representative of shallow freshwater ecosystems, which can be used to test and refine population models for use in chemical risk assessment and ecosystem management. Integr Environ Assess Manag 2022;18:1375-1386. © 2021 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Magnoliopsida Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Integr Environ Assess Manag Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Magnoliopsida Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Integr Environ Assess Manag Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos