Cargando…

Seasonal dynamics of the macrophyte test species Myriophyllum spicatum over two years in experimental ditches for population modeling application in risk assessment

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 un...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545951/
https://www.ncbi.nlm.nih.gov/pubmed/34755447
http://dx.doi.org/10.1002/ieam.4553
_version_ 1784804933111906304
author 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
author_facet 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
author_sort Arts, Gertie H. P.
collection PubMed
description 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 m(2) 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).
format Online
Article
Text
id pubmed-9545951
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-95459512022-10-14 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 Integr Environ Assess Manag Health & Ecological Risk Assessment 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 m(2) 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). John Wiley and Sons Inc. 2021-12-03 2022-09 /pmc/articles/PMC9545951/ /pubmed/34755447 http://dx.doi.org/10.1002/ieam.4553 Text en © 2021 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC) https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Health & Ecological 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
Seasonal dynamics of the macrophyte test species Myriophyllum spicatum over two years in experimental ditches for population modeling application in risk assessment
title Seasonal dynamics of the macrophyte test species Myriophyllum spicatum over two years in experimental ditches for population modeling application in risk assessment
title_full Seasonal dynamics of the macrophyte test species Myriophyllum spicatum over two years in experimental ditches for population modeling application in risk assessment
title_fullStr Seasonal dynamics of the macrophyte test species Myriophyllum spicatum over two years in experimental ditches for population modeling application in risk assessment
title_full_unstemmed Seasonal dynamics of the macrophyte test species Myriophyllum spicatum over two years in experimental ditches for population modeling application in risk assessment
title_short Seasonal dynamics of the macrophyte test species Myriophyllum spicatum over two years in experimental ditches for population modeling application in risk assessment
title_sort seasonal dynamics of the macrophyte test species myriophyllum spicatum over two years in experimental ditches for population modeling application in risk assessment
topic Health & Ecological Risk Assessment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545951/
https://www.ncbi.nlm.nih.gov/pubmed/34755447
http://dx.doi.org/10.1002/ieam.4553
work_keys_str_mv AT artsgertiehp seasonaldynamicsofthemacrophytetestspeciesmyriophyllumspicatumovertwoyearsinexperimentalditchesforpopulationmodelingapplicationinriskassessment
AT vansmedenjasper seasonaldynamicsofthemacrophytetestspeciesmyriophyllumspicatumovertwoyearsinexperimentalditchesforpopulationmodelingapplicationinriskassessment
AT woltersmariekef seasonaldynamicsofthemacrophytetestspeciesmyriophyllumspicatumovertwoyearsinexperimentalditchesforpopulationmodelingapplicationinriskassessment
AT belgersjdickm seasonaldynamicsofthemacrophytetestspeciesmyriophyllumspicatumovertwoyearsinexperimentalditchesforpopulationmodelingapplicationinriskassessment
AT matserarriennem seasonaldynamicsofthemacrophytetestspeciesmyriophyllumspicatumovertwoyearsinexperimentalditchesforpopulationmodelingapplicationinriskassessment
AT hommenudo seasonaldynamicsofthemacrophytetestspeciesmyriophyllumspicatumovertwoyearsinexperimentalditchesforpopulationmodelingapplicationinriskassessment
AT brunseric seasonaldynamicsofthemacrophytetestspeciesmyriophyllumspicatumovertwoyearsinexperimentalditchesforpopulationmodelingapplicationinriskassessment
AT heinesimon seasonaldynamicsofthemacrophytetestspeciesmyriophyllumspicatumovertwoyearsinexperimentalditchesforpopulationmodelingapplicationinriskassessment
AT solgaandreas seasonaldynamicsofthemacrophytetestspeciesmyriophyllumspicatumovertwoyearsinexperimentalditchesforpopulationmodelingapplicationinriskassessment
AT taylorseamus seasonaldynamicsofthemacrophytetestspeciesmyriophyllumspicatumovertwoyearsinexperimentalditchesforpopulationmodelingapplicationinriskassessment