An alternative approach to transfer functions? Testing the performance of a functional trait-based model for testate amoeba

Autores
van Bellen, Simon; Mauquoy, Dmitri; Payne, Richard J.; Roland, Thomas P.; Hughes, Paul D.M.; Daley, Tim J.; Loader, Neil J.; Street Perrott, F. Alayne; Rice, Emma M.; Pancotto, Veronica Andrea
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Transfer functions are now widely available to infer past environmental conditions from biotic assemblages. Existing transfer functions are based on species assemblages but an alternative is to characterize assemblages based on functional traits, characteristics of the organism which determine its fitness and performance. Here, we test the potential of trait-based transfer functions using testate amoeba functional traits to reconstruct peatland water-table depths. A total of seven functional traits with linkages to peat moisture content were identified and quantified as community weighted-means for each of 43 taxa in a training set from Tierra del Fuego, South America. Transfer functions based on (multiple) linear regression and partial least-squares were produced, validated using cross-validation and an independent test set, and applied to three core records. Trait-based models performed remarkably well. Model performance based on cross-validation and an independent test set was only marginally weaker than for models based on species and reconstructed down-core trends were extremely similar. Trait-based models offer considerable potential for paleoecological reconstruction particularly in no-analogue situations, where no species transfer function is available and for inexperienced analysts. The approach deserves further validation and testing for both testate amoebae and other groups of microfossils.
Fil: van Bellen, Simon. University Of Aberdeeen; Reino Unido
Fil: Mauquoy, Dmitri. University Of Aberdeeen; Reino Unido
Fil: Payne, Richard J.. University of York; Reino Unido
Fil: Roland, Thomas P.. University of Southampton; Reino Unido
Fil: Hughes, Paul D.M.. University of Southampton; Reino Unido
Fil: Daley, Tim J.. University of Plymouth. Sustainable Earth Institute; Reino Unido
Fil: Loader, Neil J.. Swansea University; Reino Unido
Fil: Street Perrott, F. Alayne. Swansea University; Reino Unido
Fil: Rice, Emma M.. University of Plymouth. School of Geography; Reino Unido
Fil: Pancotto, Veronica Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Materia
HOLOCENE
OMBROTROPHIC
PATAGONIA
PEATLAND
SPHAGNUM
VALIDATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/63707
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/63707
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling An alternative approach to transfer functions? Testing the performance of a functional trait-based model for testate amoebavan Bellen, SimonMauquoy, DmitriPayne, Richard J.Roland, Thomas P.Hughes, Paul D.M.Daley, Tim J.Loader, Neil J.Street Perrott, F. AlayneRice, Emma M.Pancotto, Veronica AndreaHOLOCENEOMBROTROPHICPATAGONIAPEATLANDSPHAGNUMVALIDATIONhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Transfer functions are now widely available to infer past environmental conditions from biotic assemblages. Existing transfer functions are based on species assemblages but an alternative is to characterize assemblages based on functional traits, characteristics of the organism which determine its fitness and performance. Here, we test the potential of trait-based transfer functions using testate amoeba functional traits to reconstruct peatland water-table depths. A total of seven functional traits with linkages to peat moisture content were identified and quantified as community weighted-means for each of 43 taxa in a training set from Tierra del Fuego, South America. Transfer functions based on (multiple) linear regression and partial least-squares were produced, validated using cross-validation and an independent test set, and applied to three core records. Trait-based models performed remarkably well. Model performance based on cross-validation and an independent test set was only marginally weaker than for models based on species and reconstructed down-core trends were extremely similar. Trait-based models offer considerable potential for paleoecological reconstruction particularly in no-analogue situations, where no species transfer function is available and for inexperienced analysts. The approach deserves further validation and testing for both testate amoebae and other groups of microfossils.Fil: van Bellen, Simon. University Of Aberdeeen; Reino UnidoFil: Mauquoy, Dmitri. University Of Aberdeeen; Reino UnidoFil: Payne, Richard J.. University of York; Reino UnidoFil: Roland, Thomas P.. University of Southampton; Reino UnidoFil: Hughes, Paul D.M.. University of Southampton; Reino UnidoFil: Daley, Tim J.. University of Plymouth. Sustainable Earth Institute; Reino UnidoFil: Loader, Neil J.. Swansea University; Reino UnidoFil: Street Perrott, F. Alayne. Swansea University; Reino UnidoFil: Rice, Emma M.. University of Plymouth. School of Geography; Reino UnidoFil: Pancotto, Veronica Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; ArgentinaElsevier Science2017-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/63707van Bellen, Simon; Mauquoy, Dmitri; Payne, Richard J.; Roland, Thomas P.; Hughes, Paul D.M.; et al.; An alternative approach to transfer functions? Testing the performance of a functional trait-based model for testate amoeba; Elsevier Science; Palaeogeography, Palaeoclimatology, Palaeoecology; 468; 2-2017; 173-1830031-0182CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0031018216304886info:eu-repo/semantics/altIdentifier/doi/10.1016/j.palaeo.2016.12.005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:06:42Zoai:ri.conicet.gov.ar:11336/63707instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:06:43.202CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An alternative approach to transfer functions? Testing the performance of a functional trait-based model for testate amoeba
title An alternative approach to transfer functions? Testing the performance of a functional trait-based model for testate amoeba
spellingShingle An alternative approach to transfer functions? Testing the performance of a functional trait-based model for testate amoeba
van Bellen, Simon
HOLOCENE
OMBROTROPHIC
PATAGONIA
PEATLAND
SPHAGNUM
VALIDATION
title_short An alternative approach to transfer functions? Testing the performance of a functional trait-based model for testate amoeba
title_full An alternative approach to transfer functions? Testing the performance of a functional trait-based model for testate amoeba
title_fullStr An alternative approach to transfer functions? Testing the performance of a functional trait-based model for testate amoeba
title_full_unstemmed An alternative approach to transfer functions? Testing the performance of a functional trait-based model for testate amoeba
title_sort An alternative approach to transfer functions? Testing the performance of a functional trait-based model for testate amoeba
dc.creator.none.fl_str_mv van Bellen, Simon
Mauquoy, Dmitri
Payne, Richard J.
Roland, Thomas P.
Hughes, Paul D.M.
Daley, Tim J.
Loader, Neil J.
Street Perrott, F. Alayne
Rice, Emma M.
Pancotto, Veronica Andrea
author van Bellen, Simon
author_facet van Bellen, Simon
Mauquoy, Dmitri
Payne, Richard J.
Roland, Thomas P.
Hughes, Paul D.M.
Daley, Tim J.
Loader, Neil J.
Street Perrott, F. Alayne
Rice, Emma M.
Pancotto, Veronica Andrea
author_role author
author2 Mauquoy, Dmitri
Payne, Richard J.
Roland, Thomas P.
Hughes, Paul D.M.
Daley, Tim J.
Loader, Neil J.
Street Perrott, F. Alayne
Rice, Emma M.
Pancotto, Veronica Andrea
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv HOLOCENE
OMBROTROPHIC
PATAGONIA
PEATLAND
SPHAGNUM
VALIDATION
topic HOLOCENE
OMBROTROPHIC
PATAGONIA
PEATLAND
SPHAGNUM
VALIDATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Transfer functions are now widely available to infer past environmental conditions from biotic assemblages. Existing transfer functions are based on species assemblages but an alternative is to characterize assemblages based on functional traits, characteristics of the organism which determine its fitness and performance. Here, we test the potential of trait-based transfer functions using testate amoeba functional traits to reconstruct peatland water-table depths. A total of seven functional traits with linkages to peat moisture content were identified and quantified as community weighted-means for each of 43 taxa in a training set from Tierra del Fuego, South America. Transfer functions based on (multiple) linear regression and partial least-squares were produced, validated using cross-validation and an independent test set, and applied to three core records. Trait-based models performed remarkably well. Model performance based on cross-validation and an independent test set was only marginally weaker than for models based on species and reconstructed down-core trends were extremely similar. Trait-based models offer considerable potential for paleoecological reconstruction particularly in no-analogue situations, where no species transfer function is available and for inexperienced analysts. The approach deserves further validation and testing for both testate amoebae and other groups of microfossils.
Fil: van Bellen, Simon. University Of Aberdeeen; Reino Unido
Fil: Mauquoy, Dmitri. University Of Aberdeeen; Reino Unido
Fil: Payne, Richard J.. University of York; Reino Unido
Fil: Roland, Thomas P.. University of Southampton; Reino Unido
Fil: Hughes, Paul D.M.. University of Southampton; Reino Unido
Fil: Daley, Tim J.. University of Plymouth. Sustainable Earth Institute; Reino Unido
Fil: Loader, Neil J.. Swansea University; Reino Unido
Fil: Street Perrott, F. Alayne. Swansea University; Reino Unido
Fil: Rice, Emma M.. University of Plymouth. School of Geography; Reino Unido
Fil: Pancotto, Veronica Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
description Transfer functions are now widely available to infer past environmental conditions from biotic assemblages. Existing transfer functions are based on species assemblages but an alternative is to characterize assemblages based on functional traits, characteristics of the organism which determine its fitness and performance. Here, we test the potential of trait-based transfer functions using testate amoeba functional traits to reconstruct peatland water-table depths. A total of seven functional traits with linkages to peat moisture content were identified and quantified as community weighted-means for each of 43 taxa in a training set from Tierra del Fuego, South America. Transfer functions based on (multiple) linear regression and partial least-squares were produced, validated using cross-validation and an independent test set, and applied to three core records. Trait-based models performed remarkably well. Model performance based on cross-validation and an independent test set was only marginally weaker than for models based on species and reconstructed down-core trends were extremely similar. Trait-based models offer considerable potential for paleoecological reconstruction particularly in no-analogue situations, where no species transfer function is available and for inexperienced analysts. The approach deserves further validation and testing for both testate amoebae and other groups of microfossils.
publishDate 2017
dc.date.none.fl_str_mv 2017-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/63707
van Bellen, Simon; Mauquoy, Dmitri; Payne, Richard J.; Roland, Thomas P.; Hughes, Paul D.M.; et al.; An alternative approach to transfer functions? Testing the performance of a functional trait-based model for testate amoeba; Elsevier Science; Palaeogeography, Palaeoclimatology, Palaeoecology; 468; 2-2017; 173-183
0031-0182
CONICET Digital
CONICET
url http://hdl.handle.net/11336/63707
identifier_str_mv van Bellen, Simon; Mauquoy, Dmitri; Payne, Richard J.; Roland, Thomas P.; Hughes, Paul D.M.; et al.; An alternative approach to transfer functions? Testing the performance of a functional trait-based model for testate amoeba; Elsevier Science; Palaeogeography, Palaeoclimatology, Palaeoecology; 468; 2-2017; 173-183
0031-0182
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0031018216304886
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.palaeo.2016.12.005
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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