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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/63707
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:09:27Zoai: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:34982025-09-29 10:09:27.66CONICET 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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1844613972916961280 |
score |
13.070432 |