2017
DOI: 10.5846/stxb201508291793
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Leaf functional trait distribution and controlling factors of Pinus tabuliformis

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Cited by 4 publications
(3 citation statements)
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“…Tree after long-term growth in different ecological environments undergo adaptive geographic variation to the local habitat, forming different geographic provenances [ 32 ]. However, each species has a certain range of adaptation to the environment, and the variation of functional traits has a certain limit too [ 33 ]. The results from the present study demonstrate high intraspecific variability in leaf traits among provenances and individual trees within provenances.…”
Section: Discussionmentioning
confidence: 99%
“…Tree after long-term growth in different ecological environments undergo adaptive geographic variation to the local habitat, forming different geographic provenances [ 32 ]. However, each species has a certain range of adaptation to the environment, and the variation of functional traits has a certain limit too [ 33 ]. The results from the present study demonstrate high intraspecific variability in leaf traits among provenances and individual trees within provenances.…”
Section: Discussionmentioning
confidence: 99%
“…Tree after long-term growth in different ecological environments undergo adaptive geographic variation to the local habitat, forming different geographic provenances (An et al 2015). However, each species has a certain range of adaptation to the environment, and the variation of functional traits has a certain limit too (Zhang et al 2017). The results from the present study demonstrate high intraspeci c variability in leaf traits among provenances and individual trees within provenances.…”
Section: Discussionmentioning
confidence: 99%
“…Plant species can respond to environmental variations through intraspecific leaf trait plasticity. For example, the leaf traits of Pinus tabuliformis vary at the regional scale (Zhang et al 2017). Therefore, a large species distribution range may lead to large intraspecific variation in leaf traits (Albert et al 2011, Siefert et al 2015.…”
Section: Introductionmentioning
confidence: 99%