Repository logo
 
Publication

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

2021Journal article Open access
Simple item page
dc.contributor.authorSroczynska, Kasia
dc.contributor.authorConde, Anxo
dc.contributor.authorChainho, Paula
dc.contributor.authorAdão, Helena
dc.date.accessioned2021-01-29T11:10:52Z
dc.date.available2021-01-29T11:10:52Z
dc.date.issued2021
dc.descriptionThis 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.
dc.description.abstractNematodes 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSroczyńska, 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.2021.107384pt_PT
dc.identifier.doi10.1016/j.ecolind.2021.107384pt_PT
dc.identifier.issn1470-160X
dc.identifier.urihttp://hdl.handle.net/10400.8/5268
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationMarine and Environmental Sciences Centre
dc.relationPortuguese Coastal Monitoring Network
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectFunctional traitspt_PT
dc.subjectNematode assemblagespt_PT
dc.subjectSpatial gradientpt_PT
dc.subjectSado estuarypt_PT
dc.subjectBio-assessmentpt_PT
dc.titleHow nematode morphometric attributes integrate with taxonomy-based measures along an estuarine gradientpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMarine and Environmental Sciences Centre
oaire.awardTitlePortuguese Coastal Monitoring Network
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04292%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9444 - RNIIIE/PINFRA%2F22128%2F2016/PT
oaire.citation.titleEcological Indicatorspt_PT
oaire.citation.volume124pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream9444 - RNIIIE
person.familyNameConde
person.givenNameAnxo
person.identifier.ciencia-idC517-C45B-FBB9
person.identifier.orcid0000-0003-1819-2517
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication8c375c25-236d-4dbe-868c-afc775878bce
relation.isAuthorOfPublication.latestForDiscovery8c375c25-236d-4dbe-868c-afc775878bce
relation.isProjectOfPublication54154db1-7a14-4ce1-b54e-b3a01fcd44f5
relation.isProjectOfPublication26868277-795a-43b1-a0af-f63d148c0105
relation.isProjectOfPublication.latestForDiscovery54154db1-7a14-4ce1-b54e-b3a01fcd44f5

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Conde_2021_et al.pdf
Size:
2.17 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

MARE - Artigos com peer review