Accounting for long-term directional trends spon year-to-year synchrony in species fluctuations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F19%3A00510659" target="_blank" >RIV/60077344:_____/19:00510659 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985939:_____/19:00510659

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/ecog.04528" target="_blank" >https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/ecog.04528</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/ecog.04528" target="_blank" >10.1111/ecog.04528</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Accounting for long-term directional trends spon year-to-year synchrony in species fluctuations

Popis výsledku v původním jazyce

What determines the stability of communities under environmental fluctuations remains one of the most debated questions in ecology. Concordant fluctuations in species abundances through time (synchrony) decrease stability while discordance in fluctuations (anti‐synchrony) should stabilize communities. Researchers have interpreted the community‐wide degree of synchrony in temporal fluctuations as the outcome of different processes. However, existing synchrony measures depend not only on year‐to‐year species fluctuations, but also on long‐term directional trends in species composition. The neglected effect of directional trends in species composition could cause an apparent increase in synchrony that is not due to year‐to‐year fluctuations, as species that simultaneously increase (or decrease) in abundance over time will appear correlated, even if they fluctuate discordantly from year to year. The opposite pattern is also conceivable, where different species show contrasting trends in their abundances, thus overestimating year‐to‐year anti‐synchrony. We propose two easily implementable solutions, with corresponding R functions, for testing and accounting for the effect of trends in species composition on overall synchrony. The first approach is based on computing synchrony over the residuals of fitted species trends over time. The second approach, applicable to already existing indices, is based on three‐terms local variance, i.e. computing variance over three‐years‐long, movable windows. We demonstrate these methods using simulations and data from real plant communities under long‐term directional changes, discussing when one approach can be preferred. We show that accounting for long‐term temporal trends is necessary and that separation of effect of trends and year‐to‐year fluctuation provides a better understanding of ecological mechanisms and their connections with ecological theory.

Název v anglickém jazyce

Accounting for long-term directional trends spon year-to-year synchrony in species fluctuations

Popis výsledku anglicky

What determines the stability of communities under environmental fluctuations remains one of the most debated questions in ecology. Concordant fluctuations in species abundances through time (synchrony) decrease stability while discordance in fluctuations (anti‐synchrony) should stabilize communities. Researchers have interpreted the community‐wide degree of synchrony in temporal fluctuations as the outcome of different processes. However, existing synchrony measures depend not only on year‐to‐year species fluctuations, but also on long‐term directional trends in species composition. The neglected effect of directional trends in species composition could cause an apparent increase in synchrony that is not due to year‐to‐year fluctuations, as species that simultaneously increase (or decrease) in abundance over time will appear correlated, even if they fluctuate discordantly from year to year. The opposite pattern is also conceivable, where different species show contrasting trends in their abundances, thus overestimating year‐to‐year anti‐synchrony. We propose two easily implementable solutions, with corresponding R functions, for testing and accounting for the effect of trends in species composition on overall synchrony. The first approach is based on computing synchrony over the residuals of fitted species trends over time. The second approach, applicable to already existing indices, is based on three‐terms local variance, i.e. computing variance over three‐years‐long, movable windows. We demonstrate these methods using simulations and data from real plant communities under long‐term directional changes, discussing when one approach can be preferred. We show that accounting for long‐term temporal trends is necessary and that separation of effect of trends and year‐to‐year fluctuation provides a better understanding of ecological mechanisms and their connections with ecological theory.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Ecography

ISSN

0906-7590

e-ISSN

—

Svazek periodika

42

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

14

Strana od-do

1728-1741

Kód UT WoS článku

000489884000011

EID výsledku v databázi Scopus

2-s2.0-85068651457