Functional trait diversity maximizes ecosystem multifunctionality
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F17%3A00507291" target="_blank" >RIV/67985939:_____/17:00507291 - isvavai.cz</a>
Result on the web
<a href="http://hdl.handle.net/11104/0298957" target="_blank" >http://hdl.handle.net/11104/0298957</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41559-017-0132" target="_blank" >10.1038/s41559-017-0132</a>
Alternative languages
Result language
angličtina
Original language name
Functional trait diversity maximizes ecosystem multifunctionality
Original language description
Understanding the relationship between biodiversity and ecosystem functioning has been a core ecological research topic over the past decades. Although a key hypothesis is that the diversity of functional traits determines ecosystem functioning, we do not know how much trait diversity is needed to maintain multiple ecosystem functions simultaneously (multifunctionality). Here, we uncovered a scaling relationship between the abundance distribution of two key plant functional traits (specific leaf area, maximum plant height) and multifunctionality in 124 dryland plant communities spread over all continents except Antarctica. For each trait, we found a strong empirical relationship between the skewness and the kurtosis of the trait distributions that cannot be explained by chance. This relationship predicted a strikingly high trait diversity within dryland plant communities, which was associated with a local maximization of multifunctionality. Skewness and kurtosis had a much stronger impact on multifunctionality than other important multifunctionality drivers such as species richness and aridity. The scaling relationship identified here quantifies how much trait diversity is required to maximize multifunctionality locally. Trait distributions can be used to predict the functional consequences of biodiversity loss in terrestrial ecosystems.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10618 - Ecology
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Nature Ecology & Evolution
ISSN
2397-334X
e-ISSN
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Volume of the periodical
1
Issue of the periodical within the volume
5
Country of publishing house
GB - UNITED KINGDOM
Number of pages
24
Pages from-to
0132
UT code for WoS article
000417173100020
EID of the result in the Scopus database
2-s2.0-85023198573