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Plant Origin, but Not Phylogeny, Drive Species Ecophysiological Response to Projected Climate

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    0533245 - BÚ 2021 RIV CH eng J - Článek v odborném periodiku
    Münzbergová, Zuzana - Kosová, V. - Schnablová, Renáta - Rokaya, Maan Bahadur - Synková, H. - Haisel, D. - Wilhelmová, N. - Dostálek, Tomáš
    Plant Origin, but Not Phylogeny, Drive Species Ecophysiological Response to Projected Climate.
    Frontiers in Plant Science. Roč. 11, APR 7 (2020), s. 1-18, č. článku 400. ISSN 1664-462X. E-ISSN 1664-462X
    Grant CEP: GA ČR(CZ) GA17-10280S
    Institucionální podpora: RVO:67985939
    Klíčová slova: elevational gradients * genotype × environment interaction * growth chamber experiment
    Obor OECD: Ecology
    Impakt faktor: 5.754, rok: 2020
    Způsob publikování: Open access

    We studied variation in traits related to growth, leaf chemistry, contents of photosynthetic pigments and activity of antioxidative enzymes, stomata morphology and photosynthetic activity across eight Impatiens species growing along altitudinal gradients in Himalayas cultivated in three different temperature regimes and explored effects of among species phylogenetic relationships on the results. Original and target climatic conditions determine trait values in our system. The traits are either highly plastic (e.g., APX, CAT, plant size, neoxanthin, β-carotene, chlorophyll a/b, DEPSC) or are highly differentiated among populations (stomata density, lutein production). Many traits show strong among population differentiation in degree of plasticity and direction in response to environmental changes. Most traits indicate that the species will profit from the expected warming. This suggests that different processes determine the values of the different traits and separating the importance of genetic differentiation and plasticity is crucial for our ability to predict species response to future climate changes. The results also indicate that evolution of the traits is not phylogenetically constrained but including phylogenetic information into the analysis may improve our understanding of the trait-environment relationships as was apparent from the analysis of SLA.
    Trvalý link: http://hdl.handle.net/11104/0314204

     
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