Trait probability density (TPD): measuring functional diversity across scales based on TPD with R
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F19%3A00509111" target="_blank" >RIV/60077344:_____/19:00509111 - isvavai.cz</a>
Alternative codes found
RIV/60076658:12310/19:43899634
Result on the web
<a href="https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecy.2876" target="_blank" >https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecy.2876</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/ecy.2876" target="_blank" >10.1002/ecy.2876</a>
Alternative languages
Result language
angličtina
Original language name
Trait probability density (TPD): measuring functional diversity across scales based on TPD with R
Original language description
Functional diversity (FD) has the potential to address many ecological questions, from impacts of global change on biodiversity to ecological restoration. There are several methods estimating the different components of FD. However, most of these methods can only be computed at limited spatial scales and cannot account for intraspecific trait variability (ITV), despite its significant contribution to FD. Trait probability density (TPD) functions (which explicitly account for ITV) reflect the probabilistic nature of niches. By doing so, the TPD approach reconciles existing methods for estimating FD within a unifying framework, allowing FD to be partitioned seamlessly across multiple scales (from individuals to species, and from local to global scales), and accounting for ITV. We present methods to estimate TPD functions at different spatial scales and probabilistic implementations of several FD concepts, including the primary components of FD (functional richness, evenness, and divergence), functional redundancy, functional rarity, and solutions to decompose beta FD into nested and unique components. The TPD framework has the potential to unify and expand analyses of functional ecology across scales, capturing the probabilistic and multidimensional nature of FD. The R package TPD (https://CRAN.R-project.org/package=TPD) will allow users to achieve more comparative results across regions and case studies.
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
2019
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
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Volume of the periodical
100
Issue of the periodical within the volume
12
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
e02876
UT code for WoS article
000500978900004
EID of the result in the Scopus database
2-s2.0-85075806863