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

Julia Valentim TavaresRafael Silva OliveiraMaurizio MencucciniCaroline Signori-MüllerLuciano PereiraFrancisco Carvalho DinizMartin GilpinManuel J Marca ZevallosCarlos A Salas YupayccanaMartin AcostaFlor M Pérez MullisacaFernanda de V BarrosPaulo BittencourtHalina JancoskiMarina Corrêa ScalonBeatriz S MarimonImma Oliveras MenorBen Hur Marimon JuniorMax FancourtAlexander Chambers-OstlerAdriane Esquivel MuelbertLucy M RowlandPatrick MeirAntonio Carlos Lola da CostaAlex NinaJesus M B SanchezJose S TintayaRudi S Cruz ChinoJean BacaLeticia Fernandes da SilvaEdwin R M CumapaJoão Antônio R SantosRenata TeixeiraLigia TelloMaira T M UgartecheGina A CuellarFranklin MartinezAlejandro Araujo-MurakamiEverton AlmeidaWesley Jonatar Alves da CruzJhon Del Aguila PasquelLuís AragāoTimothy R BakerPlinio Barbosa de CamargoRoel J W BrienenWenderson CastroSabina Cerruto RibeiroFernanda Coelho de SouzaEric G CosioNallaret Davila CardozoRicharlly C SilvaMathias I DisneyJavier Silva EspejoTed R FeldpauschLeandro FerreiraLeandro Lacerda GiacominNiro HiguchiMarina HirotaEuridice N Honorio CoronadoWalter Huaraca HuascoSimon L LewisGerardo Flores LlampazoYadvinder MalhiAbel Monteagudo MendozaPaulo MorandiVictor Chama MoscosoRobert MuscarellaDeliane PenhaMayda Cecília RochaGleicy RodriguesAdemir R RuschelNorma SalinasMonique SchlickmannMarcos SilveiraJoey TalbotRodolfo VásquezLaura VedovatoSimone Aparecida VieiraOliver L PhillipsEmanuel GloorDavid R Galbraith
Published in: Nature (2023)
Tropical forests face increasing climate risk 1,2 , 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, [Formula: see text] 50 ) and hydraulic safety margins (for example, HSM 50 ) are important predictors of drought-induced mortality risk 3-5 , 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 [Formula: see text] 50 and HSM 50 vary markedly across the Amazon and are related to average long-term rainfall characteristics. Both [Formula: see text] 50 and HSM 50 influence the biogeographical distribution of Amazon tree species. However, HSM 50 was the only significant predictor of observed decadal-scale changes in forest biomass. Old-growth forests with wide HSM 50 are gaining more biomass than are low HSM 50 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 HSM 50 in the Amazon 6,7 , with strong implications for the Amazon carbon sink.
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