2015
DOI: 10.1111/gcb.13114
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Plant responses to climatic extremes: within‐species variation equals among‐species variation

Abstract: Within-species and among-species differences in growth responses to a changing climate have been well documented, yet the relative magnitude of within-species vs. among-species variation has remained largely unexplored. This missing comparison impedes our ability to make general predictions of biodiversity change and to project future species distributions using models. We present a direct comparison of among- versus within-species variation in response to three of the main stresses anticipated with climate ch… Show more

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Cited by 62 publications
(73 citation statements)
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“…; Malyshev et al . ). Specifically, target conditions explain most of the variation in the growth‐related traits (plant height, number of ramets, above‐ground and below‐ground biomass) in our study, although the plasticity of these traits strongly varies with origin.…”
Section: Discussionmentioning
confidence: 97%
“…; Malyshev et al . ). Specifically, target conditions explain most of the variation in the growth‐related traits (plant height, number of ramets, above‐ground and below‐ground biomass) in our study, although the plasticity of these traits strongly varies with origin.…”
Section: Discussionmentioning
confidence: 97%
“…seed size) may also partially buffer negative impacts at the population level during or after environmental stress [34]. There is also increasing evidence for high intraspecific variability in species responses to extremes, which has been observed to be of equal or even greater magnitude than interspecific variation [51]. High intraspecific variability may be influenced by ecotypic and genetic variation within a species ( [37,52,53], but see [54]).…”
Section: Scaling Individual Plant Responses To the Population And Commentioning
confidence: 99%
“…The importance of intraspecific variation to community dynamics and ecosystem functioning might challenge the conclusions drawn from average species traits (Violle et al ., ; Malyshev et al ., ). This is because the complicated nonlinear relationships could introduce large uncertainty into ecosystem models (Bolnick et al ., ; Moran et al ., ).…”
Section: Discussionmentioning
confidence: 97%