Directional trends in species composition over time can lead to a widespread overemphasis of year-to-year asynchrony

Questions. Compensatory dynamics are described as one of the main mechanisms that increase community stability, e.g., where decreases of some species on a year‐to‐year basis are offset by an increase in others. Deviations from perfect synchrony between species (asynchrony) have therefore been advoca...

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Authors: Valencia, Enrique, de Bello, Francesco, Lepš, Jan, Galland, Thomas, E‐Vojtkó, Anna, Conti, Luisa, Danihelka, Jiří, Dengler, Jürgen, Eldridge, David J., Estiarte, Marc, García-González, Ricardo, Garnier, Eric, Gómez García, Daniel, Harrison, Susan P., Herben, Tomas, Ibáñez, Ricardo, Jentsch, Anke, Juergens, Norbert, Kertész, Miklós, Klumpp, Katja, Louault, Frédérique, Marrs, Rob H., Ónodi, Gábor, Pakeman, Robin J., Pärtel, Meelis, Peco, Begoña, Peñuelas, Josep, Rueda, Marta, Schmidt, Wolfgang, Schmiedel, Ute, Schuetz, Martin, Skalova, Hana, Šmilauer, Petr, Šmilauerová, Marie, Smit, Christian, Song, Ming‐Hua, Stock, Martin, Val, James, Vandvik, Vigdis, Wesche, Karsten, Woodcock, Ben A., Young, Truman P., Yu, Fei‐Hai, Zobel, Martin, Götzenberger, Lars
Format: article
Status:Versión aceptada para publicación
Publication Date:2020
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/223256
Online Access:http://hdl.handle.net/10261/223256
Access Level:Open access
Keyword:Asynchrony
Biodiversity
Stability
Synchrony
Temporal dynamics
Year‐to‐year fluctuation
http://metadata.un.org/sdg/15
Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
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dc.title.none.fl_str_mv Directional trends in species composition over time can lead to a widespread overemphasis of year-to-year asynchrony
title Directional trends in species composition over time can lead to a widespread overemphasis of year-to-year asynchrony
spellingShingle Directional trends in species composition over time can lead to a widespread overemphasis of year-to-year asynchrony
Valencia, Enrique
Asynchrony
Biodiversity
Stability
Synchrony
Temporal dynamics
Year‐to‐year fluctuation
http://metadata.un.org/sdg/15
Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
title_short Directional trends in species composition over time can lead to a widespread overemphasis of year-to-year asynchrony
title_full Directional trends in species composition over time can lead to a widespread overemphasis of year-to-year asynchrony
title_fullStr Directional trends in species composition over time can lead to a widespread overemphasis of year-to-year asynchrony
title_full_unstemmed Directional trends in species composition over time can lead to a widespread overemphasis of year-to-year asynchrony
title_sort Directional trends in species composition over time can lead to a widespread overemphasis of year-to-year asynchrony
dc.creator.none.fl_str_mv Valencia, Enrique
de Bello, Francesco
Lepš, Jan
Galland, Thomas
E‐Vojtkó, Anna
Conti, Luisa
Danihelka, Jiří
Dengler, Jürgen
Eldridge, David J.
Estiarte, Marc
García-González, Ricardo
Garnier, Eric
Gómez García, Daniel
Harrison, Susan P.
Herben, Tomas
Ibáñez, Ricardo
Jentsch, Anke
Juergens, Norbert
Kertész, Miklós
Klumpp, Katja
Louault, Frédérique
Marrs, Rob H.
Ónodi, Gábor
Pakeman, Robin J.
Pärtel, Meelis
Peco, Begoña
Peñuelas, Josep
Rueda, Marta
Schmidt, Wolfgang
Schmiedel, Ute
Schuetz, Martin
Skalova, Hana
Šmilauer, Petr
Šmilauerová, Marie
Smit, Christian
Song, Ming‐Hua
Stock, Martin
Val, James
Vandvik, Vigdis
Wesche, Karsten
Woodcock, Ben A.
Young, Truman P.
Yu, Fei‐Hai
Zobel, Martin
Götzenberger, Lars
author Valencia, Enrique
author_facet Valencia, Enrique
de Bello, Francesco
Lepš, Jan
Galland, Thomas
E‐Vojtkó, Anna
Conti, Luisa
Danihelka, Jiří
Dengler, Jürgen
Eldridge, David J.
Estiarte, Marc
García-González, Ricardo
Garnier, Eric
Gómez García, Daniel
Harrison, Susan P.
Herben, Tomas
Ibáñez, Ricardo
Jentsch, Anke
Juergens, Norbert
Kertész, Miklós
Klumpp, Katja
Louault, Frédérique
Marrs, Rob H.
Ónodi, Gábor
Pakeman, Robin J.
Pärtel, Meelis
Peco, Begoña
Peñuelas, Josep
Rueda, Marta
Schmidt, Wolfgang
Schmiedel, Ute
Schuetz, Martin
Skalova, Hana
Šmilauer, Petr
Šmilauerová, Marie
Smit, Christian
Song, Ming‐Hua
Stock, Martin
Val, James
Vandvik, Vigdis
Wesche, Karsten
Woodcock, Ben A.
Young, Truman P.
Yu, Fei‐Hai
Zobel, Martin
Götzenberger, Lars
author_role author
author2 de Bello, Francesco
Lepš, Jan
Galland, Thomas
E‐Vojtkó, Anna
Conti, Luisa
Danihelka, Jiří
Dengler, Jürgen
Eldridge, David J.
Estiarte, Marc
García-González, Ricardo
Garnier, Eric
Gómez García, Daniel
Harrison, Susan P.
Herben, Tomas
Ibáñez, Ricardo
Jentsch, Anke
Juergens, Norbert
Kertész, Miklós
Klumpp, Katja
Louault, Frédérique
Marrs, Rob H.
Ónodi, Gábor
Pakeman, Robin J.
Pärtel, Meelis
Peco, Begoña
Peñuelas, Josep
Rueda, Marta
Schmidt, Wolfgang
Schmiedel, Ute
Schuetz, Martin
Skalova, Hana
Šmilauer, Petr
Šmilauerová, Marie
Smit, Christian
Song, Ming‐Hua
Stock, Martin
Val, James
Vandvik, Vigdis
Wesche, Karsten
Woodcock, Ben A.
Young, Truman P.
Yu, Fei‐Hai
Zobel, Martin
Götzenberger, Lars
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv National Science Foundation (US)
Ministerio de Economía y Competitividad (España)
Comunidad de Madrid
European Commission
New Zealand National Vegetation Survey Databank
European Research Council
Estonian Research Council
Agence Nationale de la Recherche (France)
Czech Science Foundation
German Federal Environmental Foundation
Federal Ministry of Education and Research (Germany)
Scottish Government's Rural and Environment Science and Analytical Services
Bello, Francesco de [0000-0001-9202-8198]
Lepš, J. [0000-0002-4822-7429]
Galland, Thomas [0000-0003-0883-8871]
E‐Vojtkó, Anna [0000-0001-6370-680X]
Götzenberger, L. [0000-0003-3040-2900]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Asynchrony
Biodiversity
Stability
Synchrony
Temporal dynamics
Year‐to‐year fluctuation
http://metadata.un.org/sdg/15
Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
topic Asynchrony
Biodiversity
Stability
Synchrony
Temporal dynamics
Year‐to‐year fluctuation
http://metadata.un.org/sdg/15
Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
description Questions. Compensatory dynamics are described as one of the main mechanisms that increase community stability, e.g., where decreases of some species on a year‐to‐year basis are offset by an increase in others. Deviations from perfect synchrony between species (asynchrony) have therefore been advocated as an important mechanism underlying biodiversity effects on stability. However, it is unclear to what extent existing measures of synchrony actually capture the signal of year‐to‐year species fluctuations in the presence of long‐term directional trends in both species abundance and composition (species directional trends hereafter). Such directional trends may lead to a misinterpretation of indices commonly used to reflect year‐to‐year synchrony. Methods. An approach based on three‐term local quadrat variance (T3) which assesses population variability in a three‐year moving window, was used to overcome species directional trend effects. This “detrending” approach was applied to common indices of synchrony across a worldwide collection of 77 temporal plant community datasets comprising almost 7,800 individual plots sampled for at least six years. Plots included were either maintained under constant “control” conditions over time or were subjected to different management or disturbance treatments. Results. Accounting for directional trends increased the detection of year‐to‐year synchronous patterns in all synchrony indices considered. Specifically, synchrony values increased significantly in ~40% of the datasets with the T3 detrending approach while in ~10% synchrony decreased. For the 38 studies with both control and manipulated conditions, the increase in synchrony values was stronger for longer time series, particularly following experimental manipulation. Conclusions. Species’ long‐term directional trends can affect synchrony and stability measures potentially masking the ecological mechanism causing year‐to‐year fluctuations. As such, previous studies on community stability might have overemphasised the role of compensatory dynamics in real‐world ecosystems, and particularly in manipulative conditions, when not considering the possible overriding effects of long‐term directional trends.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/223256
url http://hdl.handle.net/10261/223256
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
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info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2014‐53789‐R
info:eu-repo/grantAgreement/EC/H2020/610028
http://dx.doi.org/10.1111/jvs.12916

dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Directional trends in species composition over time can lead to a widespread overemphasis of year-to-year asynchronyValencia, Enriquede Bello, FrancescoLepš, JanGalland, ThomasE‐Vojtkó, AnnaConti, LuisaDanihelka, JiříDengler, JürgenEldridge, David J.Estiarte, MarcGarcía-González, RicardoGarnier, EricGómez García, DanielHarrison, Susan P.Herben, TomasIbáñez, RicardoJentsch, AnkeJuergens, NorbertKertész, MiklósKlumpp, KatjaLouault, FrédériqueMarrs, Rob H.Ónodi, GáborPakeman, Robin J.Pärtel, MeelisPeco, BegoñaPeñuelas, JosepRueda, MartaSchmidt, WolfgangSchmiedel, UteSchuetz, MartinSkalova, HanaŠmilauer, PetrŠmilauerová, MarieSmit, ChristianSong, Ming‐HuaStock, MartinVal, JamesVandvik, VigdisWesche, KarstenWoodcock, Ben A.Young, Truman P.Yu, Fei‐HaiZobel, MartinGötzenberger, LarsAsynchronyBiodiversityStabilitySynchronyTemporal dynamicsYear‐to‐year fluctuationhttp://metadata.un.org/sdg/15Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity lossQuestions. Compensatory dynamics are described as one of the main mechanisms that increase community stability, e.g., where decreases of some species on a year‐to‐year basis are offset by an increase in others. Deviations from perfect synchrony between species (asynchrony) have therefore been advocated as an important mechanism underlying biodiversity effects on stability. However, it is unclear to what extent existing measures of synchrony actually capture the signal of year‐to‐year species fluctuations in the presence of long‐term directional trends in both species abundance and composition (species directional trends hereafter). Such directional trends may lead to a misinterpretation of indices commonly used to reflect year‐to‐year synchrony. Methods. An approach based on three‐term local quadrat variance (T3) which assesses population variability in a three‐year moving window, was used to overcome species directional trend effects. This “detrending” approach was applied to common indices of synchrony across a worldwide collection of 77 temporal plant community datasets comprising almost 7,800 individual plots sampled for at least six years. Plots included were either maintained under constant “control” conditions over time or were subjected to different management or disturbance treatments. Results. Accounting for directional trends increased the detection of year‐to‐year synchronous patterns in all synchrony indices considered. Specifically, synchrony values increased significantly in ~40% of the datasets with the T3 detrending approach while in ~10% synchrony decreased. For the 38 studies with both control and manipulated conditions, the increase in synchrony values was stronger for longer time series, particularly following experimental manipulation. Conclusions. Species’ long‐term directional trends can affect synchrony and stability measures potentially masking the ecological mechanism causing year‐to‐year fluctuations. As such, previous studies on community stability might have overemphasised the role of compensatory dynamics in real‐world ecosystems, and particularly in manipulative conditions, when not considering the possible overriding effects of long‐term directional trends.We thank multiple entities for the financial support necessary to obtain the different databases: the U.S. National Science Foundation under grant numbers DEB‐8114302, DEB‐8811884, DEB‐9411972, DEB‐0080382, DEB‐0620652, DEB‐1234162, DEB‐9707477, DEB‐0316402, DEB‐08‐16453, and DEB‐12‐56034, DEB‐0618210, the Nutrient Network (http://www.nutnet.org) experiment from the National Science Foundation Research Coordination Network (NSF‐DEB‐1042132), the New Zealand National Vegetation Survey Databank, the Spanish MINECO (Project CGL2014‐53789‐R), the Madrid Regional Government (Projects REMEDINAL‐3 and REMEDINAL‐TE), the European Research Council Synergy grant 610028 (IMBALANCE‐P), the Institute on the Environment (DG‐0001‐13), the SOERE‐ACBB financed through French National Agency for Research (ANAEE‐F, ANR‐11‐INBS‐0001), the Estonian Research Council (IUT 20‐28, IUT 20‐29), Czech Science Foundation (GAČR 17‐05506S and 19‐28491X), the European Regional Development Fund (Centre of Excellence EcolChange), the German Federal Environmental Foundation (DBU) for a grant to the NABU Hamburg (management experiment Calamagrostis epigejos), and the German Federal Ministry of Education and Research within the framework of the project BIOTA Southern Africa (promotion numbers 01LC0024, 01LC0024A and 01LC0624A2), Task 159 of SASSCAL (promotion number 01LG1201) and the Scottish Government's Rural and Environmental Science and Analytical Services division. Acknowledgement Data owned by NERC© Database Right/Copyright NERC. Further support was provided by the Jornada Basin Long‐Term Ecological Research (LTER) project, Cedar Creek Ecosystem Science Reserve and the University of Minnesota. We also thank the Lawes Agricultural Trust and Rothamsted Research for data from the e‐RA database. The Rothamsted Long‐term Experiments National Capability (LTE‐NCG) is supported by the UK Biotechnology and Biological Sciences Research Council (Grant BBS/E/C/000J0300) and the Lawes Agricultural Trust.Peer reviewedJohn Wiley & SonsNational Science Foundation (US)Ministerio de Economía y Competitividad (España)Comunidad de MadridEuropean CommissionNew Zealand National Vegetation Survey DatabankEuropean Research CouncilEstonian Research CouncilAgence Nationale de la Recherche (France)Czech Science FoundationGerman Federal Environmental FoundationFederal Ministry of Education and Research (Germany)Scottish Government's Rural and Environment Science and Analytical ServicesBello, Francesco de [0000-0001-9202-8198]Lepš, J. [0000-0002-4822-7429]Galland, Thomas [0000-0003-0883-8871]E‐Vojtkó, Anna [0000-0001-6370-680X]Götzenberger, L. 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