Water deficit and storm disturbances co-regulate Amazon rainforest seasonality.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
06 Sep 2024
Historique:
medline: 6 9 2024
pubmed: 6 9 2024
entrez: 6 9 2024
Statut: ppublish

Résumé

Canopy leaf abundance of Amazon rainforests increases in the dry season but decreases in the wet season, contrary to earlier expectations of water stress adversely affecting plant functions. Drivers of this seasonality, particularly the role of water availability, remain debated. We introduce satellite-based ecophysiological indicators to demonstrate that Amazon rainforests are constrained by water during dry seasons despite light-driven canopy greening. Evidence includes a shifted partitioning of photosynthetically active radiation toward more isoprene emissions and synchronized declines in leaf and xylem water potentials. In addition, we find that convective storms attenuate light-driven ecosystem greening in the late dry season and then reverse to net leaf loss in the wet season, improving rainforest leaf area predictability by 24 to 31%. These findings highlight the susceptibility of Amazon rainforests to increasing risks of drought and windthrow disturbances under warming.

Identifiants

pubmed: 39241070
doi: 10.1126/sciadv.adk5861
doi:

Substances chimiques

Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

eadk5861

Auteurs

Xu Lian (X)

Department of Earth and Environmental Engineering, Columbia University, New York, NY, USA.

Catherine Morfopoulos (C)

Department of Life Sciences, Imperial College London, Silwood Park, London, UK.

Pierre Gentine (P)

Department of Earth and Environmental Engineering, Columbia University, New York, NY, USA.
Center for Learning the Earth with Artificial intelligence and Physics (LEAP), Columbia University, New York, NY, USA.
Climate School, Columbia University, New York, NY, USA.

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Classifications MeSH