Artigo

The robustness of eddy correlation fluxes for Amazon rain forest conditions

We analyzed errors and uncertainties in time-integrated eddy correlation data for sites in the Amazon. A well-known source of potential error in eddy correlation is through possible advective losses of CO2 emissions during calm nights. There are also questions related to the treatment of low frequen...

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Autor principal: Kruijt, Bart J.
Outros Autores: Elbers, Jan A., Von Randow, Celso, Araüjo, Alessandro Carioca de, Oliveira, Paulo J.C., Culf, Alistair D., Manzi, Antônio Ocimar, Nobre, Antônio Donato, Kabat, Pavel, Moors, Eddy J.
Grau: Artigo
Idioma: English
Publicado em: Ecological Applications 2020
Assuntos:
Acesso em linha: https://repositorio.inpa.gov.br/handle/1/18904
id oai:repositorio:1-18904
recordtype dspace
spelling oai:repositorio:1-18904 The robustness of eddy correlation fluxes for Amazon rain forest conditions Kruijt, Bart J. Elbers, Jan A. Von Randow, Celso Araüjo, Alessandro Carioca de Oliveira, Paulo J.C. Culf, Alistair D. Manzi, Antônio Ocimar Nobre, Antônio Donato Kabat, Pavel Moors, Eddy J. Carbon Dioxide Carbon Flux Eddy Covariance Error Analysis Rainforest Uncertainty Analysis Amazonia South America We analyzed errors and uncertainties in time-integrated eddy correlation data for sites in the Amazon. A well-known source of potential error in eddy correlation is through possible advective losses of CO2 emissions during calm nights. There are also questions related to the treatment of low frequencies, non-horizontal flow, and uncertainties in, e.g., corrections for tube delay and frequency loss, as well as the effect of missing data. In this study, we systematically explore these issues for the specific situation of flux measurements at two Amazon forest sites. Results indicate that, for this specific environment with tall forest and tall towers, errors and uncertainties caused by data spikes, delay corrections, and high-frequency loss are small (<3% on an annual basis). However, sensitivities to the treatment of low frequencies and non-horizontal flow can be large, especially if the landscape is not homogeneous. Given that there is no consensus on methodology here, this represents an uncertainty of 10-25% on annual total carbon uptake. The other large uncertainty is clearly in the nighttime fluxes. Two different ways to evaluate the validity of these fluxes resulted in at least a 100% difference of annual totals. Finally, we show that uncertainty (standard errors) associated with data gaps can be reduced to <0.5 Mg·ha -1·yr-1 if data are covering at least half of the time, with random spread. Overall uncertainty, on annual CO2 fluxes, excluding the nighttime dilemma, is estimated at ±12% (central Amazon site) to ±32% (southwest Amazon site). Additionally, the nighttime uncertainty is of similar magnitude as the time-integrated fluxes themselves. 2020-06-15T22:03:49Z 2020-06-15T22:03:49Z 2004 Artigo https://repositorio.inpa.gov.br/handle/1/18904 en Volume 14, Número 4 SUPPL., Pags. S101-S113 Restrito Ecological Applications
institution Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional
collection INPA-RI
language English
topic Carbon Dioxide
Carbon Flux
Eddy Covariance
Error Analysis
Rainforest
Uncertainty Analysis
Amazonia
South America
spellingShingle Carbon Dioxide
Carbon Flux
Eddy Covariance
Error Analysis
Rainforest
Uncertainty Analysis
Amazonia
South America
Kruijt, Bart J.
The robustness of eddy correlation fluxes for Amazon rain forest conditions
topic_facet Carbon Dioxide
Carbon Flux
Eddy Covariance
Error Analysis
Rainforest
Uncertainty Analysis
Amazonia
South America
description We analyzed errors and uncertainties in time-integrated eddy correlation data for sites in the Amazon. A well-known source of potential error in eddy correlation is through possible advective losses of CO2 emissions during calm nights. There are also questions related to the treatment of low frequencies, non-horizontal flow, and uncertainties in, e.g., corrections for tube delay and frequency loss, as well as the effect of missing data. In this study, we systematically explore these issues for the specific situation of flux measurements at two Amazon forest sites. Results indicate that, for this specific environment with tall forest and tall towers, errors and uncertainties caused by data spikes, delay corrections, and high-frequency loss are small (<3% on an annual basis). However, sensitivities to the treatment of low frequencies and non-horizontal flow can be large, especially if the landscape is not homogeneous. Given that there is no consensus on methodology here, this represents an uncertainty of 10-25% on annual total carbon uptake. The other large uncertainty is clearly in the nighttime fluxes. Two different ways to evaluate the validity of these fluxes resulted in at least a 100% difference of annual totals. Finally, we show that uncertainty (standard errors) associated with data gaps can be reduced to <0.5 Mg·ha -1·yr-1 if data are covering at least half of the time, with random spread. Overall uncertainty, on annual CO2 fluxes, excluding the nighttime dilemma, is estimated at ±12% (central Amazon site) to ±32% (southwest Amazon site). Additionally, the nighttime uncertainty is of similar magnitude as the time-integrated fluxes themselves.
format Artigo
author Kruijt, Bart J.
author2 Elbers, Jan A.
Von Randow, Celso
Araüjo, Alessandro Carioca de
Oliveira, Paulo J.C.
Culf, Alistair D.
Manzi, Antônio Ocimar
Nobre, Antônio Donato
Kabat, Pavel
Moors, Eddy J.
author2Str Elbers, Jan A.
Von Randow, Celso
Araüjo, Alessandro Carioca de
Oliveira, Paulo J.C.
Culf, Alistair D.
Manzi, Antônio Ocimar
Nobre, Antônio Donato
Kabat, Pavel
Moors, Eddy J.
title The robustness of eddy correlation fluxes for Amazon rain forest conditions
title_short The robustness of eddy correlation fluxes for Amazon rain forest conditions
title_full The robustness of eddy correlation fluxes for Amazon rain forest conditions
title_fullStr The robustness of eddy correlation fluxes for Amazon rain forest conditions
title_full_unstemmed The robustness of eddy correlation fluxes for Amazon rain forest conditions
title_sort robustness of eddy correlation fluxes for amazon rain forest conditions
publisher Ecological Applications
publishDate 2020
url https://repositorio.inpa.gov.br/handle/1/18904
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score 11.755432