• Medientyp: E-Artikel
  • Titel: Non-structural carbohydrates mediate seasonal water stress across Amazon forests
  • Beteiligte: Signori-Müller, Caroline; Oliveira, Rafael S.; Barros, Fernanda de Vasconcellos; Tavares, Julia Valentim; Gilpin, Martin; Diniz, Francisco Carvalho; Zevallos, Manuel J. Marca; Yupayccana, Carlos A. Salas; Acosta, Martin; Bacca, Jean; Chino, Rudi S. Cruz; Cuellar, Gina M. Aramayo; Cumapa, Edwin R. M.; Martinez, Franklin; Mullisaca, Flor M. Pérez; Nina, Alex; Sanchez, Jesus M. Bañon; da Silva, Leticia Fernandes; Tello, Ligia; Tintaya, José Sanchez; Ugarteche, Maira T. Martinez; Baker, Timothy R.; Bittencourt, Paulo R. L.; Borma, Laura S.; [...]
  • Erschienen: Springer Science and Business Media LLC, 2021
  • Erschienen in: Nature Communications
  • Sprache: Englisch
  • DOI: 10.1038/s41467-021-22378-8
  • ISSN: 2041-1723
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>Non-structural carbohydrates (NSC) are major substrates for plant metabolism and have been implicated in mediating drought-induced tree mortality. Despite their significance, NSC dynamics in tropical forests remain little studied. We present leaf and branch NSC data for 82 Amazon canopy tree species in six sites spanning a broad precipitation gradient. During the wet season, total NSC (NSC<jats:sub>T</jats:sub>) concentrations in both organs were remarkably similar across communities. However, NSC<jats:sub>T</jats:sub> and its soluble sugar (SS) and starch components varied much more across sites during the dry season. Notably, the proportion of leaf NSC<jats:sub>T</jats:sub> in the form of SS (SS:NSC<jats:sub>T</jats:sub>) increased greatly in the dry season in almost all species in the driest sites, implying an important role of SS in mediating water stress in these sites. This adjustment of leaf NSC balance was not observed in tree species less-adapted to water deficit, even under exceptionally dry conditions. Thus, leaf carbon metabolism may help to explain floristic sorting across water availability gradients in Amazonia and enable better prediction of forest responses to future climate change.</jats:p>
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