Dry-Season Greening and Water Stress in Amazonia: The Role of Modeling Leaf Phenology

Manoli, Gabriele; Ivanov, Valeriy Y.; Fatichi, Simone

doi:10.1029/2017jg004282

Title: Dry-Season Greening and Water Stress in Amazonia: The Role of Modeling Leaf Phenology

Journal Article · Tue May 29 00:00:00 EDT 2018 · Journal of Geophysical Research. Biogeosciences

DOI:https://doi.org/10.1029/2017jg004282· OSTI ID:1539733

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ETH, Zurich (Switzerland)
Univ. of Michigan, Ann Arbor, MI (United States)

Large uncertainties on the sensitivity of Amazon forests to drought exist. Even though water stress should suppress photosynthesis and enhance tree mortality, a green-up has been often observed during the dry season. This interplay between climatic forcing and forest phenology is poorly understood and inadequately represented in most of existing dynamic global vegetation models calling for an improved description of the Amazon seasonal dynamics. Recent findings on tropical leaf phenology are incorporated in the state-of-the-art eco-hydrological model Thetys & Chloris. The new model accounts for a mechanistic light-controlled leaf development, synchronized dry-season litterfall, and an age-dependent leaf photosynthetic capacity. Simulation results from 32 sites in the Amazon basin over a 15-year period successfully mimic the seasonality of gross primary productivity; evapotranspiration (ET); as well as leaf area index, leaf age, and leaf productivity. Representation of tropical leaf phenology reproduces the observed dry-season greening, reduces simulated gross primary productivity, and does not alter ET, when compared with simulations without phenology. Tolerance to dry periods, with the exception of major drought events, is simulated by the model. Deep roots rather than leaf area index regulation mechanisms control the response to short-term droughts, but legacy effects can exacerbate multiyear water stress. Our results provide a novel mechanistic approach to model leaf phenology and flux seasonality in the tropics, reconciling the generally observed dry-season greening, ET seasonality, and decreased carbon uptake during severe droughts.

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Research Organization:: Univ. of Michigan, Ann Arbor, MI (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: SC0011078

OSTI ID:: 1539733

Journal Information:: Journal of Geophysical Research. Biogeosciences, Vol. 123, Issue 6; ISSN 2169-8953

Publisher:: American Geophysical UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 32 works

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Changes in leaf functional traits of rainforest canopy trees associated with an El Niño event in Borneo H., Nunes, Matheus; Sabine, Both,; Boris, Bongalov, ETH Zurich https://doi.org/10.3929/ethz-b-000358958	text	January 2019
A Mechanistic Model of Microbially Mediated Soil Biogeochemical Processes: A Reality Check Fatichi, Simone; Manzoni, Stefano; Or, Dani Global Biogeochemical Cycles, Vol. 33, Issue 6 https://doi.org/10.1029/2018gb006077	journal	June 2019
Estimation of Evapotranspiration of Amazon Rainforest Using the Maximum Entropy Production Method Xu, Donghui; Agee, Elizabeth; Wang, Jingfeng Geophysical Research Letters, Vol. 46, Issue 3 https://doi.org/10.1029/2018gl080907	journal	February 2019
An urban ecohydrological model to quantify the effect of vegetation on urban climate and hydrology (UT&C v1.0) Meili, Naika; Manoli, Gabriele; Burlando, Paolo ETH Zurich https://doi.org/10.3929/ethz-b-000399323	text	January 2020
Cryptic phenology in plants: Case studies, implications, and recommendations Albert, Loren P.; Restrepo‐Coupe, Natalia; Smith, Marielle N. Global Change Biology, Vol. 25, Issue 11 https://doi.org/10.1111/gcb.14759	journal	August 2019
Soil structure is an important omission in Earth System Models Fatichi, Simone; Or, Dani; Walko, Robert ETH Zurich https://doi.org/10.3929/ethz-b-000396509	text	January 2020
Changes in leaf functional traits of rainforest canopy trees associated with an El Niño event in Borneo Nunes, M. H.; Both, S.; Bongalov, B. Environmental Research Letters, Vol. 14, Issue 8 https://doi.org/10.1088/1748-9326/ab2eae	journal	July 2019
Ecohydrological changes after tropical forest conversion to oil palm Manoli, Gabriele; Meijide, Ana; Huth, Neil ETH Zurich https://doi.org/10.3929/ethz-b-000273156	text	January 2018
Ecohydrological changes after tropical forest conversion to oil palm Manoli, Gabriele; Meijide, Ana; Huth, Neil Environmental Research Letters, Vol. 13, Issue 6 https://doi.org/10.1088/1748-9326/aac54e	journal	June 2018
An urban ecohydrological model to quantify the effect of vegetation on urban climate and hydrology (UT&C v1.0) Meili, Naika; Manoli, Gabriele; Burlando, Paolo Geoscientific Model Development, Vol. 13, Issue 1 https://doi.org/10.5194/gmd-13-335-2020	journal	January 2020

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