Multidimensional ecological analyses demonstrate how interactions between functional traits shape fitness and life history strategies

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F19%3A43899370" target="_blank" >RIV/60076658:12310/19:43899370 - isvavai.cz</a>

Alternative codes found

RIV/67985939:_____/19:00508763

Result on the web

<a href="https://besjournals.onlinelibrary.wiley.com/doi/epdf/10.1111/1365-2745.13190" target="_blank" >https://besjournals.onlinelibrary.wiley.com/doi/epdf/10.1111/1365-2745.13190</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/1365-2745.13190" target="_blank" >10.1111/1365-2745.13190</a>

Result language

angličtina

Original language name

Multidimensional ecological analyses demonstrate how interactions between functional traits shape fitness and life history strategies

Original language description

1. Traditionally, trait-based studies have explored single-trait-fitness relationships. However, this approximation in the study of fitness components is often too simplistic, given that fitness is determined by the interplay of multiple traits, which could even lead to multiple functional strategies with comparable fitness (i.e. alternative designs). 2. Here we suggest that an analytical framework using boosted regression trees (BRT) can prove more informative to test hypotheses on trait combinations compared to standard linear models. We use two published datasets for comparisons: a botanical garden dataset with 557 plant species (Herben, 2012, Journal of Ecology, 100, 1522) and an observational dataset with 83 plant species (Adler, 2014, Proceedings of the National Academy of Sciences, 111, 740). 3. Using the observational dataset, we found that BRTs predict the role of traits on the relative importance of survival, growth and reproduction for population growth rate better than linear models do. Moreover, we split species cultivated in different habitats within the botanical garden and observed that seed and vegetative reproduction depended on trait combinations in most habitats. Our analyses suggest that, while not all traits impact fitness components to the same degree, it is crucial to consider traits that represent different ecological dimensions. 4. Synthesis. The analysis of trait combinations, and corresponding alternative designs via BRTs, represent a promising approach for understanding and managing functional changes in vegetation composition through measurement of suites of relatively easily measurable traits.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10611 - Plant sciences, botany

Project

<a href="/en/project/GA16-15012S" target="_blank" >GA16-15012S: Drivers of communities' temporal stability: the role of functional differences between and within species</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

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

Name of the periodical

Journal of Ecology

ISSN

0022-0477

e-ISSN

—

Volume of the periodical

107

Issue of the periodical within the volume

5

Country of publishing house

GB - UNITED KINGDOM

Number of pages

12

Pages from-to

2317-2328

UT code for WoS article

000484311000023

EID of the result in the Scopus database

2-s2.0-85065723093