Näytä suppeat kuvailutiedot

dc.contributor.authorKetola, Tarmo
dc.contributor.authorKristensen, Torsten N.
dc.date.accessioned2017-11-08T08:00:53Z
dc.date.available2017-11-08T08:00:53Z
dc.date.issued2017
dc.identifier.citationKetola, T., & Kristensen, T. N. (2017). Experimental Approaches for Testing if Tolerance Curves Are Useful for Predicting Fitness in Fluctuating Environments. <i>Frontiers in Ecology and Evolution</i>, <i>5</i>, Article 129. <a href="https://doi.org/10.3389/fevo.2017.00129" target="_blank">https://doi.org/10.3389/fevo.2017.00129</a>
dc.identifier.otherCONVID_27323850
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/55803
dc.description.abstractMost experimental studies on adaptation to stressful environments are performed under conditions that are rather constant and rarely ecologically relevant. Fluctuations in natural environmental conditions are ubiquitous and include for example variation in intensity and duration of temperature, droughts, parasite loads, and availability of nutrients, predators and competitors. The frequency and amplitude of many of these fluctuations are expected to increase with climate change. Tolerance curves are often used to describe fitness components across environmental gradients. Such curves can be obtained by assessing performance in a range of constant environmental conditions. In this perspective we briefly list theoretical and experimental evidence why results obtained under constant environmental conditions might be misleading for processes in nature and therefore may not be suitable for predicting fitness and future species distribution and abundance. We further suggest experimental avenues that can provide a better foundation for forecasts of the distribution of biota.
dc.language.isoeng
dc.publisherFrontiers Media S.A.
dc.relation.ispartofseriesFrontiers in Ecology and Evolution
dc.subject.othertolerance curves
dc.subject.otherconstant and fluctuating environments
dc.subject.otherclimate change
dc.subject.otherspecies distributions
dc.subject.otherenvironmental stress
dc.titleExperimental Approaches for Testing if Tolerance Curves Are Useful for Predicting Fitness in Fluctuating Environments
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-201711064141
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.contributor.oppiaineEkologia ja evoluutiobiologiafi
dc.contributor.oppiaineBiologisten vuorovaikutusten huippututkimusyksikköfi
dc.contributor.oppiaineEcology and Evolutionary Biologyen
dc.contributor.oppiaineCentre of Excellence in Biological Interactions Researchen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2017-11-06T13:15:06Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn2296-701X
dc.relation.numberinseries0
dc.relation.volume5
dc.type.versionpublishedVersion
dc.rights.copyright© 2017 Ketola and Kristensen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.subject.ysosopeutuminen
dc.subject.ysosietokyky
dc.subject.ysoympäristönmuutokset
dc.subject.ysoilmastonmuutokset
jyx.subject.urihttp://www.yso.fi/onto/yso/p6137
jyx.subject.urihttp://www.yso.fi/onto/yso/p16316
jyx.subject.urihttp://www.yso.fi/onto/yso/p13431
jyx.subject.urihttp://www.yso.fi/onto/yso/p5729
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.3389/fevo.2017.00129
dc.type.okmA1


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Näytä suppeat kuvailutiedot

© 2017 Ketola and Kristensen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Ellei muuten mainita, aineiston lisenssi on © 2017 Ketola and Kristensen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).