Minimum Detectable Difference (MDD) in model ecosystems with different experimental designs
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/124289 |
Resumo: | Ecotoxicological testing of chemicals have traditionally focused on the bioassay approach, where the ecotoxicity of a compound is evaluated on only a single species at the time in the laboratory. However, natural ecosystems are must more complex and include species interactions and the influence of ambient environmental factors. On the other hand, the evaluation of the toxic effects in the field has the disadvantage that this complexity hampers the interpretation of the correlations of treatment-related effects of individual stressors, and it is very hard to find a non-polluted field site. Model ecosystems, also referred to as microcosms and mesocosms, are experimental ecosystems that are constructed with components of natural ecosystems. This experimental design allows the evaluation of the correlations of treatment-related effects (when compared to field trials) with a higher ecological realism (when compared with laboratory bioassay tests). Thus, the model ecosystems have often been used to evaluate how the natural ecosystems function and how the exposure to toxic elements or potentially toxic elements influences ecosystem structure and functioning. The Minimum Detectable Difference (MDD) is the minimum difference between the control and treatments with a compound under study that must exist to be statistically significant. This indicator was developed in order to provide a measure for the statistical power of microcosms and mesocosms experiments. However, few MDD calculations on model ecosystem studies have been made so far. Therefore, the aim of this thesis work was to evaluate the influence of the experimental design of the previously conducted microcosms and mesocosms experiments on their MDD values. The method presented in the Aquatic Guidance document for pesticides was used to calculate and compare MDD values from model ecosystem studies previously conducted with the same pesticide (the insecticide chlorpyrifos) in the Netherlands and Thailand. MDD values reported in previously published papers dealing with model ecosystems were also procured and compared. From these calculated and compiled MDD values, several factors that potentially increase or decrease the MDD values were identified. Several directions for future research based on the study findings are provided in the last section of this thesis. |
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Minimum Detectable Difference (MDD) in model ecosystems with different experimental designsDomínio/Área Científica::Engenharia e Tecnologia::Engenharia do AmbienteEcotoxicological testing of chemicals have traditionally focused on the bioassay approach, where the ecotoxicity of a compound is evaluated on only a single species at the time in the laboratory. However, natural ecosystems are must more complex and include species interactions and the influence of ambient environmental factors. On the other hand, the evaluation of the toxic effects in the field has the disadvantage that this complexity hampers the interpretation of the correlations of treatment-related effects of individual stressors, and it is very hard to find a non-polluted field site. Model ecosystems, also referred to as microcosms and mesocosms, are experimental ecosystems that are constructed with components of natural ecosystems. This experimental design allows the evaluation of the correlations of treatment-related effects (when compared to field trials) with a higher ecological realism (when compared with laboratory bioassay tests). Thus, the model ecosystems have often been used to evaluate how the natural ecosystems function and how the exposure to toxic elements or potentially toxic elements influences ecosystem structure and functioning. The Minimum Detectable Difference (MDD) is the minimum difference between the control and treatments with a compound under study that must exist to be statistically significant. This indicator was developed in order to provide a measure for the statistical power of microcosms and mesocosms experiments. However, few MDD calculations on model ecosystem studies have been made so far. Therefore, the aim of this thesis work was to evaluate the influence of the experimental design of the previously conducted microcosms and mesocosms experiments on their MDD values. The method presented in the Aquatic Guidance document for pesticides was used to calculate and compare MDD values from model ecosystem studies previously conducted with the same pesticide (the insecticide chlorpyrifos) in the Netherlands and Thailand. MDD values reported in previously published papers dealing with model ecosystems were also procured and compared. From these calculated and compiled MDD values, several factors that potentially increase or decrease the MDD values were identified. Several directions for future research based on the study findings are provided in the last section of this thesis.O estudo de ecotoxicologia de substâncias químicas tem-se focado na abordagem de bioensaios, onde a toxicidade de um composto é avaliada numa única espécie em laboratório. No entanto, os ecossistemas naturais, são sistemas extremamente complexos, onde várias espécies interagem entre si e entre os componentes abióticos. Por outro lado, a avaliação dos efeitos de toxicidade no meio natural, ou seja, estudos de campo, tem como desvantagens a complexidade do mesmo, o que dificulta a interpretação das correlações de casuais entre exposição e efeitos de compostos individuais, e é bastante difícil encontrar um local em condições pristinas. Modelos de ecossistemas, também referidos como microcosmos e mesocosmos, são ecossistemas experimentais que são construídos com componentes de ecossistemas naturais. Este desenho experimental, permite a avaliação das correlações casuais entre exposição e efeitos (quando comparados a estudos de campo) com algum realismo ecológico (quando comparados com os bioensaios em laboratório). Assim, os modelos de ecossistemas são fundamentais para perceber como funcionam os ecossistemas naturais e como a exposição a elementos tóxicos ou potencialmente tóxicos influencia o funcionamento e estruturas dos ecossistemas. O Minimum Detectable Difference é a diferença mínima entre o controlo e os meios de tratamento para o composto estudado que deve de existir para ser estatisticamente significante. Este indicador foi desenvolvido de modo a proporcionar uma unidade de medida para o poder estatístico das experiências com microcosmos e mesocosmos. No entanto, são poucos os cálculos de MDD em modelos de ecossistemas experimentais. Assim, o objetivo desta dissertação é avaliar a influencia dos desenhos experimentais de estudos previamente realizados, com modelos de microcosmos e mesocosmos, podem ter nos seus valores de MDD. O método apresentado pela EFSA em 2013, para pesticidas foi usado para o cálculo e comparação dos valores de MDD para os estudos com modelos de ecossistemas previamente realizados, com o pesticida clorpirifos, na Holanda e na Tailândia. Foram, também, procurados e posteriormente comparados os valores de MDD já calculados em estudos publicados. Desta análise de valores de MDD, foi possível identificar vários fatores que podem influenciar positivamente ou negativamente os valores de MDD. Na parte final desta dissertação, são fornecidas perspectivas futuras baseadas nas conclusões deste estudo.Daam, MichielRodrigues, AntónioRUNLeal, Daniela Alexandra Mendes2021-09-09T12:37:27Z2021-042021-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/124289enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:05:47Zoai:run.unl.pt:10362/124289Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:45:26.017021Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Minimum Detectable Difference (MDD) in model ecosystems with different experimental designs |
title |
Minimum Detectable Difference (MDD) in model ecosystems with different experimental designs |
spellingShingle |
Minimum Detectable Difference (MDD) in model ecosystems with different experimental designs Leal, Daniela Alexandra Mendes Domínio/Área Científica::Engenharia e Tecnologia::Engenharia do Ambiente |
title_short |
Minimum Detectable Difference (MDD) in model ecosystems with different experimental designs |
title_full |
Minimum Detectable Difference (MDD) in model ecosystems with different experimental designs |
title_fullStr |
Minimum Detectable Difference (MDD) in model ecosystems with different experimental designs |
title_full_unstemmed |
Minimum Detectable Difference (MDD) in model ecosystems with different experimental designs |
title_sort |
Minimum Detectable Difference (MDD) in model ecosystems with different experimental designs |
author |
Leal, Daniela Alexandra Mendes |
author_facet |
Leal, Daniela Alexandra Mendes |
author_role |
author |
dc.contributor.none.fl_str_mv |
Daam, Michiel Rodrigues, António RUN |
dc.contributor.author.fl_str_mv |
Leal, Daniela Alexandra Mendes |
dc.subject.por.fl_str_mv |
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia do Ambiente |
topic |
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia do Ambiente |
description |
Ecotoxicological testing of chemicals have traditionally focused on the bioassay approach, where the ecotoxicity of a compound is evaluated on only a single species at the time in the laboratory. However, natural ecosystems are must more complex and include species interactions and the influence of ambient environmental factors. On the other hand, the evaluation of the toxic effects in the field has the disadvantage that this complexity hampers the interpretation of the correlations of treatment-related effects of individual stressors, and it is very hard to find a non-polluted field site. Model ecosystems, also referred to as microcosms and mesocosms, are experimental ecosystems that are constructed with components of natural ecosystems. This experimental design allows the evaluation of the correlations of treatment-related effects (when compared to field trials) with a higher ecological realism (when compared with laboratory bioassay tests). Thus, the model ecosystems have often been used to evaluate how the natural ecosystems function and how the exposure to toxic elements or potentially toxic elements influences ecosystem structure and functioning. The Minimum Detectable Difference (MDD) is the minimum difference between the control and treatments with a compound under study that must exist to be statistically significant. This indicator was developed in order to provide a measure for the statistical power of microcosms and mesocosms experiments. However, few MDD calculations on model ecosystem studies have been made so far. Therefore, the aim of this thesis work was to evaluate the influence of the experimental design of the previously conducted microcosms and mesocosms experiments on their MDD values. The method presented in the Aquatic Guidance document for pesticides was used to calculate and compare MDD values from model ecosystem studies previously conducted with the same pesticide (the insecticide chlorpyrifos) in the Netherlands and Thailand. MDD values reported in previously published papers dealing with model ecosystems were also procured and compared. From these calculated and compiled MDD values, several factors that potentially increase or decrease the MDD values were identified. Several directions for future research based on the study findings are provided in the last section of this thesis. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-09T12:37:27Z 2021-04 2021-04-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/124289 |
url |
http://hdl.handle.net/10362/124289 |
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eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138058977673216 |