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Title: Carbon exchange in an Amazon forest: from hours to years

Abstract

Abstract. In Amazon forests, the relative contributions of climate, phenology, and disturbance to net ecosystem exchange of carbon (NEE) are not well understood. To partition influences across various timescales, we use a statistical model to represent eddy-covariance-derived NEE in an evergreen eastern Amazon forest as a constant response to changing meteorology and phenology throughout a decade. Our best fit model represented hourly NEE variations as changes due to sunlight, while seasonal variations arose from phenology influencing photosynthesis and from rainfall influencing ecosystem respiration, where phenology was asynchronous with dry-season onset. We compared annual model residuals with biometric forest surveys to estimate impacts of drought disturbance. We found that our simple model represented hourly and monthly variations in NEE well (R2 = 0.81 and 0.59, respectively). Modeled phenology explained 1% of hourly and 26% of monthly variations in observed NEE, whereas the remaining modeled variability was due to changes in meteorology. We did not find evidence to support the common assumption that the forest phenology was seasonally light- or water-triggered. Our model simulated annual NEE well, with the exception of 2002, the first year of our data record, which contained 1.2MgCha−1 of residual net emissions, because photosynthesis was anomalously low. Because a severemore » drought occurred in 1998, we hypothesized that this drought caused a persistent, multi-year depression of photosynthesis. Our results suggest drought can have lasting impacts on photosynthesis, possibly via partial damage to still-living trees.« less

Authors:
; ; ORCiD logo; ORCiD logo; ORCiD logo; ; ORCiD logo; ; ORCiD logo; ; ORCiD logo; ; ORCiD logo; ; ;
Publication Date:
Research Org.:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
OSTI Identifier:
1464653
Alternate Identifier(s):
OSTI ID: 1466576
Report Number(s):
BNL-208002-2018-JAAM
Journal ID: ISSN 1726-4189
Grant/Contract Number:  
SC0008311; SC0012704
Resource Type:
Published Article
Journal Name:
Biogeosciences (Online)
Additional Journal Information:
Journal Name: Biogeosciences (Online) Journal Volume: 15 Journal Issue: 15; Journal ID: ISSN 1726-4189
Publisher:
Copernicus Publications, EGU
Country of Publication:
Germany
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Hayek, Matthew N., Longo, Marcos, Wu, Jin, Smith, Marielle N., Restrepo-Coupe, Natalia, Tapajós, Raphael, da Silva, Rodrigo, Fitzjarrald, David R., Camargo, Plinio B., Hutyra, Lucy R., Alves, Luciana F., Daube, Bruce, Munger, J. William, Wiedemann, Kenia T., Saleska, Scott R., and Wofsy, Steven C. Carbon exchange in an Amazon forest: from hours to years. Germany: N. p., 2018. Web. doi:10.5194/bg-15-4833-2018.
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Hayek, Matthew N., Longo, Marcos, Wu, Jin, Smith, Marielle N., Restrepo-Coupe, Natalia, Tapajós, Raphael, da Silva, Rodrigo, Fitzjarrald, David R., Camargo, Plinio B., Hutyra, Lucy R., Alves, Luciana F., Daube, Bruce, Munger, J. William, Wiedemann, Kenia T., Saleska, Scott R., & Wofsy, Steven C. Carbon exchange in an Amazon forest: from hours to years. Germany. https://doi.org/10.5194/bg-15-4833-2018
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Hayek, Matthew N., Longo, Marcos, Wu, Jin, Smith, Marielle N., Restrepo-Coupe, Natalia, Tapajós, Raphael, da Silva, Rodrigo, Fitzjarrald, David R., Camargo, Plinio B., Hutyra, Lucy R., Alves, Luciana F., Daube, Bruce, Munger, J. William, Wiedemann, Kenia T., Saleska, Scott R., and Wofsy, Steven C. Wed . "Carbon exchange in an Amazon forest: from hours to years". Germany. https://doi.org/10.5194/bg-15-4833-2018.
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@article{osti_1464653,
title = {Carbon exchange in an Amazon forest: from hours to years},
author = {Hayek, Matthew N. and Longo, Marcos and Wu, Jin and Smith, Marielle N. and Restrepo-Coupe, Natalia and Tapajós, Raphael and da Silva, Rodrigo and Fitzjarrald, David R. and Camargo, Plinio B. and Hutyra, Lucy R. and Alves, Luciana F. and Daube, Bruce and Munger, J. William and Wiedemann, Kenia T. and Saleska, Scott R. and Wofsy, Steven C.},
abstractNote = {Abstract. In Amazon forests, the relative contributions of climate, phenology, and disturbance to net ecosystem exchange of carbon (NEE) are not well understood. To partition influences across various timescales, we use a statistical model to represent eddy-covariance-derived NEE in an evergreen eastern Amazon forest as a constant response to changing meteorology and phenology throughout a decade. Our best fit model represented hourly NEE variations as changes due to sunlight, while seasonal variations arose from phenology influencing photosynthesis and from rainfall influencing ecosystem respiration, where phenology was asynchronous with dry-season onset. We compared annual model residuals with biometric forest surveys to estimate impacts of drought disturbance. We found that our simple model represented hourly and monthly variations in NEE well (R2 = 0.81 and 0.59, respectively). Modeled phenology explained 1% of hourly and 26% of monthly variations in observed NEE, whereas the remaining modeled variability was due to changes in meteorology. We did not find evidence to support the common assumption that the forest phenology was seasonally light- or water-triggered. Our model simulated annual NEE well, with the exception of 2002, the first year of our data record, which contained 1.2MgCha−1 of residual net emissions, because photosynthesis was anomalously low. Because a severe drought occurred in 1998, we hypothesized that this drought caused a persistent, multi-year depression of photosynthesis. Our results suggest drought can have lasting impacts on photosynthesis, possibly via partial damage to still-living trees.},
doi = {10.5194/bg-15-4833-2018},
journal = {Biogeosciences (Online)},
number = 15,
volume = 15,
place = {Germany},
year = {Wed Aug 15 00:00:00 EDT 2018},
month = {Wed Aug 15 00:00:00 EDT 2018}
}
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https://doi.org/10.5194/bg-15-4833-2018
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