Non-structural carbohydrates mediate seasonal water stress across Amazon forests

Author:

Signori-Müller CarolineORCID,Oliveira Rafael S.ORCID,Barros Fernanda de Vasconcellos,Tavares Julia ValentimORCID,Gilpin Martin,Diniz Francisco Carvalho,Zevallos Manuel J. Marca,Yupayccana Carlos A. Salas,Acosta Martin,Bacca Jean,Chino Rudi S. CruzORCID,Cuellar Gina M. Aramayo,Cumapa Edwin R. M.,Martinez Franklin,Mullisaca Flor M. PérezORCID,Nina AlexORCID,Sanchez Jesus M. Bañon,da Silva Leticia FernandesORCID,Tello Ligia,Tintaya José Sanchez,Ugarteche Maira T. Martinez,Baker Timothy R.,Bittencourt Paulo R. L.,Borma Laura S.ORCID,Brum Mauro,Castro WendesonORCID,Coronado Eurídice N. HonorioORCID,Cosio Eric G.,Feldpausch Ted R.ORCID,Fonseca Letícia d’Agosto Miguel,Gloor Emanuel,Llampazo Gerardo Flores,Malhi YadvinderORCID,Mendoza Abel Monteagudo,Moscoso Victor Chama,Araujo-Murakami Alejandro,Phillips Oliver L.ORCID,Salinas Norma,Silveira MarcosORCID,Talbot Joey,Vasquez Rodolfo,Mencuccini Maurizio,Galbraith DavidORCID

Abstract

AbstractNon-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 (NSCT) concentrations in both organs were remarkably similar across communities. However, NSCT and its soluble sugar (SS) and starch components varied much more across sites during the dry season. Notably, the proportion of leaf NSCT in the form of SS (SS:NSCT) 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.

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

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