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

Result code in 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>

Alternative codes found

RIV/67985939:_____/19:00510659

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

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

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OECD FORD branch

10618 - Ecology

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

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

Name of the periodical

Ecography

ISSN

0906-7590

e-ISSN

—

Volume of the periodical

42

Issue of the periodical within the volume

10

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

1728-1741

UT code for WoS article

000489884000011

EID of the result in the Scopus database

2-s2.0-85068651457