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Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests

يتنبأ الاختلاف على مستوى الحوض في هوامش الأمان الهيدروليكية للأشجار بتوازن الكربون في غابات الأمازون
Authors: Julia Valentim Tavares; Rafael S. Oliveira; Maurizio Mencuccini; Caroline Signori‐Müller; Luciano Pereira; Francisco Carvalho Diniz; Martin Gilpin; +74 Authors

Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests

Abstract

AbstractTropical forests face increasing climate risk1,2, yet our ability to predict their response to climate change is limited by poor understanding of their resistance to water stress. Although xylem embolism resistance thresholds (for example, $$\varPsi $$ Ψ 50) and hydraulic safety margins (for example, HSM50) are important predictors of drought-induced mortality risk3–5, little is known about how these vary across Earth’s largest tropical forest. Here, we present a pan-Amazon, fully standardized hydraulic traits dataset and use it to assess regional variation in drought sensitivity and hydraulic trait ability to predict species distributions and long-term forest biomass accumulation. Parameters $$\varPsi $$ Ψ 50 and HSM50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both $$\varPsi $$ Ψ 50 and HSM50 influence the biogeographical distribution of Amazon tree species. However, HSM50 was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM50 are gaining more biomass than are low HSM50 forests. We propose that this may be associated with a growth–mortality trade-off whereby trees in forests consisting of fast-growing species take greater hydraulic risks and face greater mortality risk. Moreover, in regions of more pronounced climatic change, we find evidence that forests are losing biomass, suggesting that species in these regions may be operating beyond their hydraulic limits. Continued climate change is likely to further reduce HSM50 in the Amazon6,7, with strong implications for the Amazon carbon sink.

Countries
United Kingdom, France, France, Sweden, France
Keywords

Biomass (ecology), 550, Skogsvetenskap, Ecophysiology, Rain, Forests, Estimation of Forest Biomass and Carbon Stocks, Trees, SDG 13 - Climate Action, Biomass, Water Science and Technology, Global and Planetary Change, GE, Dehydration, Ecology, Geography, 3rd-DAS, Biodiversity, Tropical ecology, Tree Mortality, Droughts, Hydrological Modeling and Water Resource Management, Tree Allometry, Physical Sciences, Carbon/metabolism, Tree Height-Diameter Models, Biomass Estimation, GE Environmental Sciences, Carbon Sequestration, Physical geography, Ecosystem Resilience, Amazon rainforest, Physiological, Climate Change, Xylem/metabolism, Stress, 333, Article, Environmental science, Xylem, Stress, Physiological, Biology, Trees/growth & development, Nature and Landscape Conservation, 580, MCC, Tropical Climate, Global Forest Drought Response and Climate Change, Forest Science, Carbon, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, FOS: Biological sciences, Environmental Science, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Forest ecology

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    41
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
41
Top 10%
Top 10%
Top 1%
Green
hybrid