2014
DOI: 10.1080/12538078.2013.868320
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The interspecific and intraspecific variation of functional traits in weeds: diversified ecological strategies within arable fields

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Cited by 24 publications
(21 citation statements)
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“…First, functional differences between arable weeds and non‐weeds were investigated by comparing each trait distribution separately between the two pools. For LHS traits, we permuted trait values between pools (pool sizes kept constant) and calculated functional overlap, measured as the area common to both trait distributions (in %), under a null hypothesis of no functional difference between pools (Perronne et al., ). We simulated 1000 null overlap values and compared them to the observed overlap with actual species trait values, with a significance threshold of 0.05.…”
Section: Methodsmentioning
confidence: 99%
“…First, functional differences between arable weeds and non‐weeds were investigated by comparing each trait distribution separately between the two pools. For LHS traits, we permuted trait values between pools (pool sizes kept constant) and calculated functional overlap, measured as the area common to both trait distributions (in %), under a null hypothesis of no functional difference between pools (Perronne et al., ). We simulated 1000 null overlap values and compared them to the observed overlap with actual species trait values, with a significance threshold of 0.05.…”
Section: Methodsmentioning
confidence: 99%
“…for phenology). In such a case, in situ trait measurement appear particularly important because weeds show high intraspecific variability for phenological traits and SLA (Bagavathiannan & Norsworthy, ; Perronne et al ., ; Borgy et al ., ).…”
Section: Perspectivesmentioning
confidence: 96%
“…Under this community assembly framework, management practices and biological interactions can be considered as filters limiting or allowing the establishment, growth and persistence of distinct weed species that may disperse from a reference species pool to a specific site (Booth & Swanton, ). Extensively used during the last two decades in weed science, trait‐based approaches have provided general insights into weed community response to agricultural practices (Storkey, ; Fried et al ., ; Gardarin et al ., ; Storkey et al ., ; Gunton et al ., ; Fried et al ., ; Colbach et al ., ; Perronne et al ., ; Armengot et al ., ), to environmental properties characterising field boundaries (Cordeau et al ., ; Perronne et al ., ) and to landscape heterogeneity (Fried et al ., ; Alignier et al ., ). A deeper understanding of how weed traits shift across climatic and management intensity gradients, at both global and local scales, however requires the appropriate ‘core’ traits to be identified as well as the translation of management practices into gradients of resources and disturbances.…”
Section: Introductionmentioning
confidence: 99%
“…This was particularly true for SLA for which different species shared similar trait distributions. Our findings of a high contribution of intraspecific variability in SLA corroborate those of previous studies (Jung et al ., ; Albert et al ., ; Perronne et al ., ). This high level of intraspecific trait variability within crop sequence types could potentially be related to weed response to crop canopy closure or to phenological differences between individuals, SLA being sensitive to these two criteria (Storkey, ).…”
Section: Discussionmentioning
confidence: 97%
“…Intraspecific variability has been shown in many weed species (e.g. Griffith & Sultan, ), especially within arable fields and for traits related to resource acquisition processes (Perronne et al ., ). Consequently, one might expect that intraspecific variability can play an important role in the power of detecting changes in local weed functional diversity in response to fluctuating resources, both due to climate, management practices and resource acquisition processes.…”
Section: Introductionmentioning
confidence: 97%