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Title: Asymmetric response of Amazon forest water and energy fluxes to wet and dry hydrological extremes reveals onset of a local drought-induced tipping point

Abstract

Abstract Understanding the effects of intensification of Amazon basin hydrological cycling—manifest as increasingly frequent floods and droughts—on water and energy cycles of tropical forests is essential to meeting the challenge of predicting ecosystem responses to climate change, including forest “tipping points”. Here, we investigated the impacts of hydrological extremes on forest function using 12+ years of observations (between 2001–2020) of water and energy fluxes from eddy covariance, along with associated ecological dynamics from biometry, at the Tapajós National Forest. Measurements encompass the strong 2015–2016 El Niño drought and La Niña 2008–2009 wet events. We found that the forest responded strongly to El Niño‐Southern Oscillation (ENSO): Drought reduced water availability for evapotranspiration ( ET ) leading to large increases in sensible heat fluxes ( H ). Partitioning ET by an approach that assumes transpiration ( T ) is proportional to photosynthesis, we found that water stress‐induced reductions in canopy conductance ( G s ) drove T declines partly compensated by higher evaporation ( E ). By contrast, the abnormally wet La Niña period gave higher T and lower E , with little change in seasonal ET . Both El Niño‐Southern Oscillation (ENSO) events resulted in changes in forest structure, manifested as lowermore » wet‐season leaf area index. However, only during El Niño 2015–2016, we observed a breakdown in the strong meteorological control of transpiration fluxes (via energy availability and atmospheric demand) because of slowing vegetation functions (via shutdown of G s and significant leaf shedding). Drought‐reduced T and G s , higher H and E , amplified by feedbacks with higher temperatures and vapor pressure deficits, signaled that forest function had crossed a threshold, from which it recovered slowly, with delay, post‐drought. Identifying such tipping point onsets (beyond which future irreversible processes may occur) at local scale is crucial for predicting basin‐scale threshold‐crossing changes in forest energy and water cycling, leading to slow‐down in forest function, potentially resulting in Amazon forests shifting into alternate degraded states.« less

Authors:
ORCiD logo [1];  [2]; ORCiD logo [3]; ORCiD logo [4];  [5];  [6];  [7];  [1];  [5];  [5];  [8];  [8]; ORCiD logo [9]
  1. Univ. of Arizona, Tucson, AZ (United States); University of Technology Sydney, NSW (Australia)
  2. University of Texas Rio Grande Valley, Edinburg, TX (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
  3. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
  4. Univ. of California, Los Angeles, CA (United States)
  5. University of Western Pará (UFOPA), Santarém (Brazil)
  6. Brazilian Agricultural Research Corporation (Embrapa), Belém (Brazil); Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus (Brazil)
  7. Brazilian Agricultural Research Corporation (Embrapa), Belém (Brazil)
  8. Harvard Univ., Cambridge, MA (United States)
  9. Univ. of Arizona, Tucson, AZ (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
2283378
Alternate Identifier(s):
OSTI ID: 2007555
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Global Change Biology
Additional Journal Information:
Journal Volume: 29; Journal Issue: 21; Journal ID: ISSN 1354-1013
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Amazonia; ecosystem-climate interactions; Eddy covariance; ENSO; tropical forests; water and energy flux seasonality

Citation Formats

Restrepo‐Coupe, Natalia, O’Donnell Christoffersen, Bradley, Longo, Marcos, Alves, Luciana F., Campos, Kleber Silva, da Araujo, Alessandro C., de Oliveira, Raimundo C., Prohaska, Neill, da Silva, Rodrigo, Tapajos, Raphael, Wiedemann, Kenia T., Wofsy, Steven C., and Saleska, Scott R. Asymmetric response of Amazon forest water and energy fluxes to wet and dry hydrological extremes reveals onset of a local drought-induced tipping point. United States: N. p., 2023. Web. doi:10.1111/gcb.16933.
Restrepo‐Coupe, Natalia, O’Donnell Christoffersen, Bradley, Longo, Marcos, Alves, Luciana F., Campos, Kleber Silva, da Araujo, Alessandro C., de Oliveira, Raimundo C., Prohaska, Neill, da Silva, Rodrigo, Tapajos, Raphael, Wiedemann, Kenia T., Wofsy, Steven C., & Saleska, Scott R. Asymmetric response of Amazon forest water and energy fluxes to wet and dry hydrological extremes reveals onset of a local drought-induced tipping point. United States. https://doi.org/10.1111/gcb.16933
Restrepo‐Coupe, Natalia, O’Donnell Christoffersen, Bradley, Longo, Marcos, Alves, Luciana F., Campos, Kleber Silva, da Araujo, Alessandro C., de Oliveira, Raimundo C., Prohaska, Neill, da Silva, Rodrigo, Tapajos, Raphael, Wiedemann, Kenia T., Wofsy, Steven C., and Saleska, Scott R. Tue . "Asymmetric response of Amazon forest water and energy fluxes to wet and dry hydrological extremes reveals onset of a local drought-induced tipping point". United States. https://doi.org/10.1111/gcb.16933.
@article{osti_2283378,
title = {Asymmetric response of Amazon forest water and energy fluxes to wet and dry hydrological extremes reveals onset of a local drought-induced tipping point},
author = {Restrepo‐Coupe, Natalia and O’Donnell Christoffersen, Bradley and Longo, Marcos and Alves, Luciana F. and Campos, Kleber Silva and da Araujo, Alessandro C. and de Oliveira, Raimundo C. and Prohaska, Neill and da Silva, Rodrigo and Tapajos, Raphael and Wiedemann, Kenia T. and Wofsy, Steven C. and Saleska, Scott R.},
abstractNote = {Abstract Understanding the effects of intensification of Amazon basin hydrological cycling—manifest as increasingly frequent floods and droughts—on water and energy cycles of tropical forests is essential to meeting the challenge of predicting ecosystem responses to climate change, including forest “tipping points”. Here, we investigated the impacts of hydrological extremes on forest function using 12+ years of observations (between 2001–2020) of water and energy fluxes from eddy covariance, along with associated ecological dynamics from biometry, at the Tapajós National Forest. Measurements encompass the strong 2015–2016 El Niño drought and La Niña 2008–2009 wet events. We found that the forest responded strongly to El Niño‐Southern Oscillation (ENSO): Drought reduced water availability for evapotranspiration ( ET ) leading to large increases in sensible heat fluxes ( H ). Partitioning ET by an approach that assumes transpiration ( T ) is proportional to photosynthesis, we found that water stress‐induced reductions in canopy conductance ( G s ) drove T declines partly compensated by higher evaporation ( E ). By contrast, the abnormally wet La Niña period gave higher T and lower E , with little change in seasonal ET . Both El Niño‐Southern Oscillation (ENSO) events resulted in changes in forest structure, manifested as lower wet‐season leaf area index. However, only during El Niño 2015–2016, we observed a breakdown in the strong meteorological control of transpiration fluxes (via energy availability and atmospheric demand) because of slowing vegetation functions (via shutdown of G s and significant leaf shedding). Drought‐reduced T and G s , higher H and E , amplified by feedbacks with higher temperatures and vapor pressure deficits, signaled that forest function had crossed a threshold, from which it recovered slowly, with delay, post‐drought. Identifying such tipping point onsets (beyond which future irreversible processes may occur) at local scale is crucial for predicting basin‐scale threshold‐crossing changes in forest energy and water cycling, leading to slow‐down in forest function, potentially resulting in Amazon forests shifting into alternate degraded states.},
doi = {10.1111/gcb.16933},
journal = {Global Change Biology},
number = 21,
volume = 29,
place = {United States},
year = {Tue Sep 12 00:00:00 EDT 2023},
month = {Tue Sep 12 00:00:00 EDT 2023}
}

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