Testing the environmental filtering concept in global drylands
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F17%3A43896898" target="_blank" >RIV/60076658:12310/17:43896898 - isvavai.cz</a>
Alternative codes found
RIV/60077344:_____/17:00480715 RIV/67985939:_____/17:00480715
Result on the web
<a href="http://onlinelibrary.wiley.com/doi/10.1111/1365-2745.12735/epdf" target="_blank" >http://onlinelibrary.wiley.com/doi/10.1111/1365-2745.12735/epdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/1365-2745.12735" target="_blank" >10.1111/1365-2745.12735</a>
Alternative languages
Result language
angličtina
Original language name
Testing the environmental filtering concept in global drylands
Original language description
1. The environmental filtering hypothesis predicts that the abiotic environment selects species with similar trait values within communities. Testing this hypothesis along multiple -and interacting gradients of climate and soil variables constitutes a great opportunity to better understand and predict the responses of plant communities to ongoing environmental changes. 2. Based on two key plant traits, maximum plant height and specific leaf area (SLA), we assessed the filtering effects of climate (mean annual temperature and precipitation, precipitation seasonality), soil characteristics (soil pH, sand content and total phosphorus) and all potential interactions on the functional structure and diversity of 124 dryland communities spread over the globe. The functional structure and diversity of dryland communities were quantified using the mean, variance, skewness and kurtosis of plant trait distributions. 3. The models accurately explained the observed variations in functional trait diversity across the 124 communities studied. All models included interactions among factors, i.e. climate-climate (9% of explanatory power), climate-soil (24% of explanatory power) and soil-soil interactions (5% of explanatory power). Precipitation seasonality was the main driver of maximum plant height, and interacted with mean annual temperature and precipitation. Soil pH mediated the filtering effects of climate and sand content on SLA. Our results also revealed that communities characterized by a low variance can also exhibit low kurtosis values, indicating that functionally contrasting species can co-occur even in communities with narrow ranges of trait values. 4. Synthesis. We identified the particular set of conditions under which the environmental filtering hypothesis operates in drylands world-wide. Our findings also indicate that species with functionally contrasting strategies can still co-occur locally, even under prevailing environmental filtering. Interactions between sources of environmental stress should be therefore included in global trait-based studies, as this will help to further anticipate where the effects of environmental filtering will impact plant trait diversity under climate change.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
Journal of Ecology
ISSN
0022-0477
e-ISSN
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Volume of the periodical
105
Issue of the periodical within the volume
4
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
1058-1069
UT code for WoS article
000403549500023
EID of the result in the Scopus database
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