Effects of intrinsic precipitation‐predictability on root traits, allocation strategies and the selective regimes acting on them

Lade...
Vorschaubild
Dateien
March-Salas_2-rxolko8yvvhe7.pdf
March-Salas_2-rxolko8yvvhe7.pdfGröße: 2.76 MBDownloads: 107
Datum
2022
Autor:innen
March‐Salas, Martí
Fitze, Patrick S.
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
ArXiv-ID
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Hybrid
Sammlungen
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Oikos. Wiley. 2022(1), e07970. ISSN 0030-1299. eISSN 1600-0706. Available under: doi: 10.1111/oik.07970
Zusammenfassung

Climate change affects means, variances and the intrinsic predictability of the climate. However, experimental tests of how changes in intrinsic climatic predictability affects plant traits, allocation strategies and the selective regime acting on them are scarce, as well as evidence for the importance of root functional traits to cope with climatic uncertainty. Here, we experimentally manipulated intrinsic daily and inter-seasonal precipitation-predictabilities and tested their effect on root traits, root allocation strategies, the selective regime acting on them, and transgenerational root responses, using a four-year field experiment and Onobrychis viciifolia. More predictable precipitation led to lower root biomass and a lower overall plant performance, and to higher allocation to roots and higher within-root allocation (i.e. allocation to root branching and maximum rooting depth relative to allocation to roots). Differences in intrinsic daily and inter-seasonal predictability induced differences in the strength of selection acting on the studied traits, but did not affect the type of the selective regime, nor the transgenerational responses. The results indicate that higher predictability constrained a plant’s performance, while plants were able to cope with lower predictability. Absence of transgenerational responses in root traits with respect to the predictability treatments, points to slow or no inter-generational changes of root traits in unpredictable habitats. Thus, adjustments in root allocation strategies and changes therein might be key to deal with increasing climatic uncertainty.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
allocation strategy, allometry, environmental predictability, intrinsic daily and inter-seasonal precipitation predictability, maximum rooting depth, Onobrychis viciifolia, plant performance, root branching, selection gradients
Konferenz
Rezension
undefined / . - undefined, undefined
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Datensätze
Zitieren
ISO 690MARCH‐SALAS, Martí, Mark VAN KLEUNEN, Patrick S. FITZE, 2022. Effects of intrinsic precipitation‐predictability on root traits, allocation strategies and the selective regimes acting on them. In: Oikos. Wiley. 2022(1), e07970. ISSN 0030-1299. eISSN 1600-0706. Available under: doi: 10.1111/oik.07970
BibTex
@article{MarchSalas2022-01Effec-55692,
  year={2022},
  doi={10.1111/oik.07970},
  title={Effects of intrinsic precipitation‐predictability on root traits, allocation strategies and the selective regimes acting on them},
  number={1},
  issn={0030-1299},
  journal={Oikos},
  author={March‐Salas, Martí and van Kleunen, Mark and Fitze, Patrick S.},
  note={Article Number: e07970}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/55692">
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dcterms:abstract xml:lang="eng">Climate change affects means, variances and the intrinsic predictability of the climate. However, experimental tests of how changes in intrinsic climatic predictability affects plant traits, allocation strategies and the selective regime acting on them are scarce, as well as evidence for the importance of root functional traits to cope with climatic uncertainty. Here, we experimentally manipulated intrinsic daily and inter-seasonal precipitation-predictabilities and tested their effect on root traits, root allocation strategies, the selective regime acting on them, and transgenerational root responses, using a four-year field experiment and Onobrychis viciifolia. More predictable precipitation led to lower root biomass and a lower overall plant performance, and to higher allocation to roots and higher within-root allocation (i.e. allocation to root branching and maximum rooting depth relative to allocation to roots). Differences in intrinsic daily and inter-seasonal predictability induced differences in the strength of selection acting on the studied traits, but did not affect the type of the selective regime, nor the transgenerational responses. The results indicate that higher predictability constrained a plant’s performance, while plants were able to cope with lower predictability. Absence of transgenerational responses in root traits with respect to the predictability treatments, points to slow or no inter-generational changes of root traits in unpredictable habitats. Thus, adjustments in root allocation strategies and changes therein might be key to deal with increasing climatic uncertainty.</dcterms:abstract>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/55692"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-11-29T12:33:59Z</dcterms:available>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/55692/3/March-Salas_2-rxolko8yvvhe7.pdf"/>
    <dcterms:issued>2022-01</dcterms:issued>
    <dc:creator>Fitze, Patrick S.</dc:creator>
    <dc:contributor>Fitze, Patrick S.</dc:contributor>
    <dcterms:title>Effects of intrinsic precipitation‐predictability on root traits, allocation strategies and the selective regimes acting on them</dcterms:title>
    <dc:language>eng</dc:language>
    <dc:creator>van Kleunen, Mark</dc:creator>
    <dc:contributor>van Kleunen, Mark</dc:contributor>
    <dc:creator>March‐Salas, Martí</dc:creator>
    <dc:contributor>March‐Salas, Martí</dc:contributor>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/55692/3/March-Salas_2-rxolko8yvvhe7.pdf"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-11-29T12:33:59Z</dc:date>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Ja
Diese Publikation teilen