Search Results - "da Araujo, Alessandro C."
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Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data‐model intercomparison
Published in Global change biology (01-01-2017)“…To predict forest response to long‐term climate change with high confidence requires that dynamic global vegetation models (DGVMs) be successfully tested…”
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What drives the seasonality of photosynthesis across the Amazon basin? A cross-site analysis of eddy flux tower measurements from the Brasil flux network
Published in Agricultural and forest meteorology (01-12-2013)“…•Differences in forest seasonal productivity cannot be explained by access to water or sunlight.•Equatorial climates benefit species that support high levels…”
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Asymmetric response of Amazon forest water and energy fluxes to wet and dry hydrological extremes reveals onset of a local drought‐induced tipping point
Published in Global change biology (01-11-2023)“…Understanding the effects of intensification of Amazon basin hydrological cycling—manifest as increasingly frequent floods and droughts—on water and energy…”
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Contrasting carbon cycle responses to dry (2015 El Niño) and wet (2008 La Niña) extreme events at an Amazon tropical forest
Published in Agricultural and forest meteorology (15-06-2024)“…•We contrast tropical forest fluxes: the 2015 El Niño drought and 2008 La Niña wet events.•La Niña carbon losses were driven by short-lived reduced…”
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Understanding water and energy fluxes in the Amazonia: Lessons from an observation‐model intercomparison
Published in Global change biology (01-05-2021)“…Tropical forests are an important part of global water and energy cycles, but the mechanisms that drive seasonality of their land‐atmosphere exchanges have…”
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Asymmetric response of Amazon forest water and energy fluxes to wet and dry hydrological extremes reveals onset of a local drought-induced tipping point
Published in Global change biology (12-09-2023)“…Abstract Understanding the effects of intensification of Amazon basin hydrological cycling—manifest as increasingly frequent floods and droughts—on water and…”
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Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model intercomparison
Published in Global change biology (29-08-2016)“…To predict forest response to long-term climate change with high confidence requires that dynamic global vegetation models (DGVMs) be successfully tested…”
Get full text
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