How nematode morphometric attributes integrate with taxonomy-based measures along an estuarine gradient

Detalhes bibliográficos
Autor(a) principal: Sroczynska, Kasia
Data de Publicação: 2021
Outros Autores: Conde, Anxo, Chainho, Paula, Adão, Helena
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.8/5268
Resumo: This study had the funding support from the following projects: D4Ss ALT20-03-0145-FEDER-029400; UIDB/04292/2020; NIPOGES (MAR01.03.02-FEAMP-0013); AQUASADO (MAR-02.01.01-FEAMP-0051); COASTNET (PINFRA/22128/2016) and MINEPLAT ALT20030145FEDER000013. Anxo Conde wishes to acknowledge the Integrated Programme of SR&TD “Smart Valorization of Endogenous Marine Biological Resources Under a Changing Climate” (reference Centro-01- 0145-FEDER-000018), co-funded by Centro 2020 program, Portugal 2020, European Union, through the European Regional Development Fund. The authors also thank Sara Roman who helped with sample processing and Sara Cabral for providing the GIS maps.
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spelling How nematode morphometric attributes integrate with taxonomy-based measures along an estuarine gradientFunctional traitsNematode assemblagesSpatial gradientSado estuaryBio-assessmentThis study had the funding support from the following projects: D4Ss ALT20-03-0145-FEDER-029400; UIDB/04292/2020; NIPOGES (MAR01.03.02-FEAMP-0013); AQUASADO (MAR-02.01.01-FEAMP-0051); COASTNET (PINFRA/22128/2016) and MINEPLAT ALT20030145FEDER000013. Anxo Conde wishes to acknowledge the Integrated Programme of SR&TD “Smart Valorization of Endogenous Marine Biological Resources Under a Changing Climate” (reference Centro-01- 0145-FEDER-000018), co-funded by Centro 2020 program, Portugal 2020, European Union, through the European Regional Development Fund. The authors also thank Sara Roman who helped with sample processing and Sara Cabral for providing the GIS maps.Nematodes are highly susceptible to environmental change and possess a wide array of morphological and functional characteristics for the assessment of the “Good Environmental Status”, within Marine Strategy Framework Directive. However, while the taxonomic sufficiency of nematodes in detecting spatial gradients and related ecological niche conditions is well recognized, very little is known about nematodes functional morphometric attributes in response to environmental drivers. To explore this knowledge gap, we aimed to assess the efficacy and efficiency of nematode morphometric attributes (length, width, length/width ratio, biomass) in detecting spatial patterns along a Portuguese estuarine gradient, and compare it with the taxonomic approach. We hypothesized that abundance data weighted by the morphometric attributes will have a higher explanatory power in detecting spatial patterns than using abundance of morphometric data alone. Based on the recent recommendations regarding the time and cost related efficacy of methods in biomonitoring and ecological assessments we also hypothesized that a reduced dataset based on the most common genera will suffice to capture the same distributional patterns displayed by the whole assemblage. Our results demonstrated that dataset solely based on genera abundances had consistently better explanatory power than combined datasets or morphometric datasets alone, however, combined dataset provided different spatial patterns and performed better at discriminating estuary areas. The main gradients described by the taxonomy-based dataset were related to the sediment particle size and water depth. Considering combined datasets, spatial discrimination was mainly driven by the variation in dissolved oxygen % saturation, pointing out to the importance of this variable in determining estuarine conditions substantial for nematodes morphometric distributional patterns. The same analysis repeated for the most frequent genera resulted in similar distributional patterns as for the whole assemblage dataset, clearly demonstrating that spatial estuarine gradients can be sufficiently described by using only the most frequent genera. Such information may substantially increase the efficiency of bioassessment surveys by reducing the cost and work associated with identification and measurements of all of the individual nematode genera.ElsevierIC-OnlineSroczynska, KasiaConde, AnxoChainho, PaulaAdão, Helena2021-01-29T11:10:52Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/5268engSroczyńska, K., Conde, A., Chainho, P. & Adão, H. (2021). How nematode morphometric attributes integrate with taxonomy-based measures along an estuarine gradient. Ecological Indicators, 124. https://doi.org/10.1016/j.ecolind.2021.1073841470-160X10.1016/j.ecolind.2021.107384info: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:RCAAP2024-01-17T15:51:00Zoai:iconline.ipleiria.pt:10400.8/5268Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:48:54.560458Repositório 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 How nematode morphometric attributes integrate with taxonomy-based measures along an estuarine gradient
title How nematode morphometric attributes integrate with taxonomy-based measures along an estuarine gradient
spellingShingle How nematode morphometric attributes integrate with taxonomy-based measures along an estuarine gradient
Sroczynska, Kasia
Functional traits
Nematode assemblages
Spatial gradient
Sado estuary
Bio-assessment
title_short How nematode morphometric attributes integrate with taxonomy-based measures along an estuarine gradient
title_full How nematode morphometric attributes integrate with taxonomy-based measures along an estuarine gradient
title_fullStr How nematode morphometric attributes integrate with taxonomy-based measures along an estuarine gradient
title_full_unstemmed How nematode morphometric attributes integrate with taxonomy-based measures along an estuarine gradient
title_sort How nematode morphometric attributes integrate with taxonomy-based measures along an estuarine gradient
author Sroczynska, Kasia
author_facet Sroczynska, Kasia
Conde, Anxo
Chainho, Paula
Adão, Helena
author_role author
author2 Conde, Anxo
Chainho, Paula
Adão, Helena
author2_role author
author
author
dc.contributor.none.fl_str_mv IC-Online
dc.contributor.author.fl_str_mv Sroczynska, Kasia
Conde, Anxo
Chainho, Paula
Adão, Helena
dc.subject.por.fl_str_mv Functional traits
Nematode assemblages
Spatial gradient
Sado estuary
Bio-assessment
topic Functional traits
Nematode assemblages
Spatial gradient
Sado estuary
Bio-assessment
description This study had the funding support from the following projects: D4Ss ALT20-03-0145-FEDER-029400; UIDB/04292/2020; NIPOGES (MAR01.03.02-FEAMP-0013); AQUASADO (MAR-02.01.01-FEAMP-0051); COASTNET (PINFRA/22128/2016) and MINEPLAT ALT20030145FEDER000013. Anxo Conde wishes to acknowledge the Integrated Programme of SR&TD “Smart Valorization of Endogenous Marine Biological Resources Under a Changing Climate” (reference Centro-01- 0145-FEDER-000018), co-funded by Centro 2020 program, Portugal 2020, European Union, through the European Regional Development Fund. The authors also thank Sara Roman who helped with sample processing and Sara Cabral for providing the GIS maps.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-29T11:10:52Z
2021
2021-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.8/5268
url http://hdl.handle.net/10400.8/5268
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sroczyńska, K., Conde, A., Chainho, P. & Adão, H. (2021). How nematode morphometric attributes integrate with taxonomy-based measures along an estuarine gradient. Ecological Indicators, 124. https://doi.org/10.1016/j.ecolind.2021.107384
1470-160X
10.1016/j.ecolind.2021.107384
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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