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dc.contributor.authorKuparinen, Anna
dc.contributor.authorPerälä, Tommi
dc.contributor.authorMartinez, Neo D.
dc.contributor.authorValdovinos, Fernanda S.
dc.date.accessioned2019-04-08T08:38:56Z
dc.date.available2019-10-23T21:35:28Z
dc.date.issued2019
dc.identifier.citationKuparinen, A., Perälä, T., Martinez, N. D., & Valdovinos, F. S. (2019). Environmentally-induced noise dampens and reddens with increasing trophic level in a complex food web. <i>Oikos</i>, <i>128</i>(4), 608-620. <a href="https://doi.org/10.1111/oik.05575" target="_blank">https://doi.org/10.1111/oik.05575</a>
dc.identifier.otherCONVID_28679038
dc.identifier.otherTUTKAID_79255
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/63423
dc.description.abstractStochastic variability of key abiotic factors including temperature, precipitation and the availability of light and nutrients greatly influences species’ ecological function and evolutionary fate. Despite such influence, ecologists have typically ignored the effect of abiotic stochasticity on the structure and dynamics of ecological networks. Here we help to fill that gap by advancing the theory of how abiotic stochasticity, in the form of environmental noise, affects the population dynamics of species within food webs. We do this by analysing an allometric trophic network model of Lake Constance subjected to positive (red), negative (blue), and non‐autocorrelated (white) abiotic temporal variability (noise) introduced into the carrying capacity of basal species. We found that, irrespective of the colour of the introduced noise, the temporal variability of the species biomass within the network both reddens (i.e. its positive autocorrelation increases) and dampens (i.e. the magnitude of variation decreases) as the environmental noise is propagated through the food web by its feeding interactions from the bottom to the top. The reddening reflects a buffering of the noise‐induced population variability by complex food web dynamics such that non‐autocorrelated oscillations of noise‐free deterministic dynamics become positively autocorrelated. Our research helps explain frequently observed red variability of natural populations by suggesting that ecological processing of environmental noise through food webs with a range of species’ body sizes reddens population variability in nature.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherBlackwell
dc.relation.ispartofseriesOikos
dc.rightsIn Copyright
dc.subject.othercoloured noise
dc.subject.otherecosystem dynamics
dc.subject.otherenvironmental stochasticity
dc.titleEnvironmentally-induced noise dampens and reddens with increasing trophic level in a complex food web
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201904032060
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.contributor.oppiaineAkvaattiset tieteetfi
dc.contributor.oppiaineAquatic Sciencesen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2019-04-03T09:15:12Z
dc.description.reviewstatuspeerReviewed
dc.format.pagerange608-620
dc.relation.issn0030-1299
dc.relation.numberinseries4
dc.relation.volume128
dc.type.versionacceptedVersion
dc.rights.copyright© 2018 The Authors
dc.rights.accesslevelopenAccessfi
dc.subject.ysoympäristönmuutokset
dc.subject.ysostokastiset prosessit
dc.subject.ysomatemaattiset mallit
dc.subject.ysohäiriöt
dc.subject.ysoravintoverkot
dc.subject.ysoekosysteemit (ekologia)
dc.subject.ysovesiekosysteemit
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p13431
jyx.subject.urihttp://www.yso.fi/onto/yso/p11400
jyx.subject.urihttp://www.yso.fi/onto/yso/p11401
jyx.subject.urihttp://www.yso.fi/onto/yso/p544
jyx.subject.urihttp://www.yso.fi/onto/yso/p22082
jyx.subject.urihttp://www.yso.fi/onto/yso/p4997
jyx.subject.urihttp://www.yso.fi/onto/yso/p11000
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.datasethttp://doi.org/10.1111/oik.05575
dc.relation.doi10.1111/oik.05575
jyx.fundinginformationThe research was funded by the Academy of Finland (AK), the Natural Sciences and Engineering Research Council of Canada (AK), European Research Council (COMPLEX‐FISH 400820 to AK) and the USA National Science Foundation (DE SG0016247) and Department of Energy (ICER‐1313830) (to NDM).


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