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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/67985939:_____/19:00508763

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10611 - Plant sciences, botany

Projekt

<a href="/cs/project/GA16-15012S" target="_blank" >GA16-15012S: Faktory řídící stabilitu společenstev v čase: role funkčních rozdílů mezi druhy a mezi jedinci</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Journal of Ecology

ISSN

0022-0477

e-ISSN

—

Svazek periodika

107

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

2317-2328

Kód UT WoS článku

000484311000023

EID výsledku v databázi Scopus

2-s2.0-85065723093