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

Abstract

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 resultsmore » 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.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]
  1. ETH, Zurich (Switzerland)
  2. Univ. of Michigan, Ann Arbor, MI (United States)
Publication Date:
Research Org.:
Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1539733
Grant/Contract Number:  
SC0011078
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Geophysical Research. Biogeosciences
Additional Journal Information:
Journal Volume: 123; Journal Issue: 6; Journal ID: ISSN 2169-8953
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Environmental Sciences & Ecology; Geology

Citation Formats

Manoli, Gabriele, Ivanov, Valeriy Y., and Fatichi, Simone. Dry-Season Greening and Water Stress in Amazonia: The Role of Modeling Leaf Phenology. United States: N. p., 2018. Web. doi:10.1029/2017jg004282.
Manoli, Gabriele, Ivanov, Valeriy Y., & Fatichi, Simone. Dry-Season Greening and Water Stress in Amazonia: The Role of Modeling Leaf Phenology. United States. doi:10.1029/2017jg004282.
Manoli, Gabriele, Ivanov, Valeriy Y., and Fatichi, Simone. Tue . "Dry-Season Greening and Water Stress in Amazonia: The Role of Modeling Leaf Phenology". United States. doi:10.1029/2017jg004282. https://www.osti.gov/servlets/purl/1539733.
@article{osti_1539733,
title = {Dry-Season Greening and Water Stress in Amazonia: The Role of Modeling Leaf Phenology},
author = {Manoli, Gabriele and Ivanov, Valeriy Y. and Fatichi, Simone},
abstractNote = {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.},
doi = {10.1029/2017jg004282},
journal = {Journal of Geophysical Research. Biogeosciences},
number = 6,
volume = 123,
place = {United States},
year = {2018},
month = {5}
}

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Cited by: 12 works
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    Works referencing / citing this record:

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