2020
DOI: 10.1038/s41437-020-0305-0
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Individual reproductive success in Norway spruce natural populations depends on growth rate, age and sensitivity to temperature

Abstract: Quantifying the individual reproductive success and understanding its determinants is a central issue in evolutionary research for the major consequences that the transmission of genetic variation from parents to offspring has on the adaptive potential of populations. Here, we propose to distil the myriad of information embedded in tree-ring time series into a set of tree-ringbased phenotypic traits to be investigated as potential drivers of reproductive success in forest trees. By using a crossdisciplinary ap… Show more

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Cited by 11 publications
(5 citation statements)
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“…In general, individual growth rate is a key component of individual fitness of an organism (Violle et al 2007). Specifically, growth rate of trees enhances individual competitive ability in natural forest ecosystems (Morgenstern 1996) and can positively influence reproductive success of individuals (Avanzi et al 2015). In addition, individual growth rate has been previously shown having a positive coupling with SDM-modelled probability of occurrence in grass carp Ctenopharyngodon idella (Wittmann et al 2016).…”
Section: Trait Data Collectionmentioning
confidence: 99%
“…In general, individual growth rate is a key component of individual fitness of an organism (Violle et al 2007). Specifically, growth rate of trees enhances individual competitive ability in natural forest ecosystems (Morgenstern 1996) and can positively influence reproductive success of individuals (Avanzi et al 2015). In addition, individual growth rate has been previously shown having a positive coupling with SDM-modelled probability of occurrence in grass carp Ctenopharyngodon idella (Wittmann et al 2016).…”
Section: Trait Data Collectionmentioning
confidence: 99%
“…Such pronounced reproductive skew is commonly observed in trees (e.g., Chybicki & Burczyk, 2013 ; Oddou‐Muratorio et al, 2018 ), and can be driven by genetic or micro‐environmental differences. For example, Avanzi et al ( 2020 ) showed that in Norway spruce, trees that were able to maintain high‐growth rates despite environmental growth limitations had the highest reproductive success. The assessment of reproductive success also greatly depends on the ontological stage.…”
Section: Discussionmentioning
confidence: 99%
“…However, flower traits are often difficult to quantify, especially if there are many candidate parents within a study plot or if a study species is characterized by large dimensions, as many trees. Fortunately, flower abundance usually covaries with individual size, making size‐related phenotypic variables a right choice for covariates of reproductive success (Avanzi et al, 2020; Younginger et al, 2017). In trees, trunk diameter is the easiest and the most accurately measurable predictor of this kind.…”
Section: Discussionmentioning
confidence: 99%