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Functional traits and their plasticity shift from tolerant to avoidant under extreme drought

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F22%3A00565766" target="_blank" >RIV/67985939:_____/22:00565766 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1002/ecy.3826" target="_blank" >https://doi.org/10.1002/ecy.3826</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/ecy.3826" target="_blank" >10.1002/ecy.3826</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Functional traits and their plasticity shift from tolerant to avoidant under extreme drought

  • Original language description

    Under climate change, extreme droughts will limit water availability for plants. However, the species-specific responses make it difficult to draw general conclusions. We hypothesized that changes in species' abundance in response to extreme drought can be best explained by a set of water economic traits under ambient conditions in combination with the ability to adjust these traits towards higher drought resistance. We conducted a 4-year field experiment in temperate grasslands using rainout shelters with 30% and 50% rainfall reduction. We quantified the response as the change in species abundance between ambient conditions and the rainfall reduction. Abundance response to extreme drought was best explained by a combination of traits in ambient conditions and their functional adjustment, most likely reflecting plasticity. Smaller leaved species decreased less in abundance under drought. With increasing drought intensity, we observed a shift from drought tolerance, i.e., an increase in leaf dry matter content, to avoidance, i.e., a less negative turgor loss point (TLP) in ambient conditions and a constancy in TLP under drought. We stress the importance of using a multidimensional approach of variation in multiple traits and the importance of considering a range of drought intensities to improve predictions of species' response to climate change.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10618 - Ecology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Ecology

  • ISSN

    0012-9658

  • e-ISSN

    1939-9170

  • Volume of the periodical

    103

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    e3826

  • UT code for WoS article

    000858419200001

  • EID of the result in the Scopus database

    2-s2.0-85138260615