High sensitivity of a tropical rainforest to water variability: Evidence from 10 years of inventory and eddy flux data

2013 ◽  
Vol 118 (16) ◽  
pp. 9393-9400 ◽  
Author(s):  
Zheng-Hong Tan ◽  
Min Cao ◽  
Gui-Rui Yu ◽  
Jian-Wei Tang ◽  
Xiao-Bao Deng ◽  
...  
Keyword(s):  
Tropical Rainforest ◽  
High Sensitivity ◽  
Eddy Flux ◽  
Flux Data

Estimating daytime ecosystem respiration from eddy-flux data

Biosystems ◽  
2011 ◽  
Vol 103 (2) ◽  
pp. 309-313 ◽  
Author(s):  
Dan Bruhn ◽  
Teis N. Mikkelsen ◽  
Mathias Herbst ◽  
Werner L. Kutsch ◽  
Marilyn C. Ball ◽  
...  
Keyword(s):  
Ecosystem Respiration ◽  
Eddy Flux ◽  
Flux Data

GROSS PRIMARY PRODUCTIVITY IN DUKE FOREST: MODELING SYNTHESIS OF CO2EXPERIMENT AND EDDY–FLUX DATA

2001 ◽  
Vol 11 (1) ◽  
pp. 239-252 ◽  
Author(s):  
Yiqi Luo ◽  
Belinda Medlyn ◽  
Dafeng Hui ◽  
David Ellsworth ◽  
James Reynolds ◽  
...  
Keyword(s):  
Primary Productivity ◽  
Gross Primary Productivity ◽  
Eddy Flux ◽  
Flux Data ◽  
Forest Modeling

scholarly journals Processing Arctic Eddy-Flux Data Using a Simple Carbon-Exchange Model Embedded in the Ensemble Kalman Filter

2009 ◽  
pp. 100319061507001 ◽  
Author(s):  
Edward Rastetter ◽  
Mathew Williams ◽  
Kevin Griffin ◽  
Bonnie Kwiatkowski ◽  
Gabrielle Tomasky ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Ensemble Kalman Filter ◽  
Exchange Model ◽  
Carbon Exchange ◽  
Eddy Flux ◽  
Flux Data

Gross Primary Productivity in Duke Forest: Modeling Synthesis of CO 2 Experiment and Eddy-Flux Data

2001 ◽  
Vol 11 (1) ◽  
pp. 239 ◽  
Author(s):  
Yiqi Luo ◽  
Belinda Medlyn ◽  
Dafeng Hui ◽  
David Ellsworth ◽  
James Reynolds ◽  
...  
Keyword(s):  
Primary Productivity ◽  
Gross Primary Productivity ◽  
Eddy Flux ◽  
Flux Data ◽  
Forest Modeling

scholarly journals Processing arctic eddy-flux data using a simple carbon-exchange model embedded in the ensemble Kalman filter

2010 ◽  
Vol 20 (5) ◽  
pp. 1285-1301 ◽  
Author(s):  
Edward B. Rastetter ◽  
Mathew Williams ◽  
Kevin L. Griffin ◽  
Bonnie L. Kwiatkowski ◽  
Gabrielle Tomasky ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Ensemble Kalman Filter ◽  
Exchange Model ◽  
Carbon Exchange ◽  
Eddy Flux ◽  
Flux Data

scholarly journals Quantification of terrestrial ecosystem carbon dynamics in the conterminous United States combining a process-based biogeochemical model and MODIS and AmeriFlux data

2011 ◽  
Vol 8 (9) ◽  
pp. 2665-2688 ◽  
Author(s):  
M. Chen ◽  
Q. Zhuang ◽  
D. R. Cook ◽  
R. Coulter ◽  
M. Pekour ◽  
...  
Keyword(s):  
United States ◽  
Remote Sensing ◽  
Primary Production ◽  
Terrestrial Ecosystem ◽  
Terrestrial Ecosystems ◽  
Carbon Dynamics ◽  
Eddy Flux ◽  
Flux Data ◽  
Biogeochemical Models ◽  
Temporal And Spatial

Abstract. Satellite remote sensing provides continuous temporal and spatial information of terrestrial ecosystems. Using these remote sensing data and eddy flux measurements and biogeochemical models, such as the Terrestrial Ecosystem Model (TEM), should provide a more adequate quantification of carbon dynamics of terrestrial ecosystems. Here we use Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI), Land Surface Water Index (LSWI) and carbon flux data of AmeriFlux to conduct such a study. We first modify the gross primary production (GPP) modeling in TEM by incorporating EVI and LSWI to account for the effects of the changes of canopy photosynthetic capacity, phenology and water stress. Second, we parameterize and verify the new version of TEM with eddy flux data. We then apply the model to the conterminous United States over the period 2000–2005 at a 0.05° × 0.05° spatial resolution. We find that the new version of TEM made improvement over the previous version and generally captured the expected temporal and spatial patterns of regional carbon dynamics. We estimate that regional GPP is between 7.02 and 7.78 Pg C yr−1 and net primary production (NPP) ranges from 3.81 to 4.38 Pg C yr−1 and net ecosystem production (NEP) varies within 0.08–0.73 Pg C yr−1 over the period 2000–2005 for the conterminous United States. The uncertainty due to parameterization is 0.34, 0.65 and 0.18 Pg C yr−1 for the regional estimates of GPP, NPP and NEP, respectively. The effects of extreme climate and disturbances such as severe drought in 2002 and destructive Hurricane Katrina in 2005 were captured by the model. Our study provides a new independent and more adequate measure of carbon fluxes for the conterminous United States, which will benefit studies of carbon-climate feedback and facilitate policy-making of carbon management and climate.

scholarly journals Multi-model analysis of terrestrial carbon cycles in Japan: limitations and implications of model calibration using eddy flux observations

2010 ◽  
Vol 7 (7) ◽  
pp. 2061-2080 ◽  
Author(s):  
K. Ichii ◽  
T. Suzuki ◽  
T. Kato ◽  
A. Ito ◽  
T. Hajima ◽  
...  
Keyword(s):  
Carbon Cycle ◽  
Model Calibration ◽  
Future Climate Change ◽  
Support Vector ◽  
Model Parameters ◽  
Eddy Flux ◽  
Terrestrial Biosphere ◽  
Flux Data ◽  
Default Model ◽  
Model Based

Abstract. Terrestrial biosphere models show large differences when simulating carbon and water cycles, and reducing these differences is a priority for developing more accurate estimates of the condition of terrestrial ecosystems and future climate change. To reduce uncertainties and improve the understanding of their carbon budgets, we investigated the utility of the eddy flux datasets to improve model simulations and reduce variabilities among multi-model outputs of terrestrial biosphere models in Japan. Using 9 terrestrial biosphere models (Support Vector Machine – based regressions, TOPS, CASA, VISIT, Biome-BGC, DAYCENT, SEIB, LPJ, and TRIFFID), we conducted two simulations: (1) point simulations at four eddy flux sites in Japan and (2) spatial simulations for Japan with a default model (based on original settings) and a modified model (based on model parameter tuning using eddy flux data). Generally, models using default model settings showed large deviations in model outputs from observation with large model-by-model variability. However, after we calibrated the model parameters using eddy flux data (GPP, RE and NEP), most models successfully simulated seasonal variations in the carbon cycle, with less variability among models. We also found that interannual variations in the carbon cycle are mostly consistent among models and observations. Spatial analysis also showed a large reduction in the variability among model outputs. This study demonstrated that careful validation and calibration of models with available eddy flux data reduced model-by-model differences. Yet, site history, analysis of model structure changes, and more objective procedure of model calibration should be included in the further analysis.

scholarly journals Energy, water, and carbon fluxes in a loblolly pine stand: Results from uniform and gappy canopy models with comparisons to eddy flux data

2009 ◽  
Vol 114 (G4) ◽  
Author(s):  
Conghe Song ◽  
Gabriel Katul ◽  
Ram Oren ◽  
Lawrence E. Band ◽  
Christina L. Tague ◽  
...  
Keyword(s):  
Loblolly Pine ◽  
Carbon Fluxes ◽  
Eddy Flux ◽  
Flux Data

scholarly journals Quantification of terrestrial ecosystem carbon dynamics in the conterminous United States combining a process-based biogeochemical model and MODIS and AmeriFlux data

2011 ◽  
Vol 8 (2) ◽  
pp. 2721-2773 ◽  
Author(s):  
M. Chen ◽  
Q. Zhuang ◽  
D. R. Cook ◽  
R. Coulter ◽  
M. Pekour ◽  
...  
Keyword(s):  
United States ◽  
Remote Sensing ◽  
Primary Production ◽  
Terrestrial Ecosystem ◽  
Terrestrial Ecosystems ◽  
Carbon Dynamics ◽  
Eddy Flux ◽  
Flux Data ◽  
Biogeochemical Models ◽  
Temporal And Spatial

Abstract. Satellite remote sensing provides continuous temporal and spatial information of terrestrial ecosystems. Using these remote sensing data and eddy flux measurements and biogeochemical models, such as the Terrestrial Ecosystem Model (TEM), should provide a more adequate quantification of carbon dynamics of terrestrial ecosystems. Here we use Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI), Land Surface Water Index (LSWI) and carbon flux data of AmeriFlux to conduct such a study. We first modify the Gross Primary Production (GPP) modeling in TEM by incorporating EVI and LSWI to account for the effects of the changes of canopy photosynthetic capacity, phenology and water stress. Second, we parameterize and verify the new version of TEM with eddy flux data. We then apply the model to the conterminous United States over the period 2000–2005 at a 0.05°×0.05° spatial resolution. We find that the new version of TEM generally captured the expected temporal and spatial patterns of regional carbon dynamics. We estimate that regional GPP is between 7.02 and 7.78 Pg C yr−1 and Net Primary Production (NPP) ranges from 3.81 to 4.38 Pg C yr−1 and Net Ecosystem Production (NEP) varies within 0.08–0.73 Pg C yr−1 over the period 2000–2005 for the conterminous United States. The uncertainty due to parameterization is 0.34, 0.65 and 0.18 Pg C yr−1 for the regional estimates of GPP, NPP and NEP, respectively. The effects of extreme climate and disturbances such as severe drought in 2002 and destructive Hurricane Katrina in 2005 were captured by the model. Our study provides a new independent and more adequate measure of carbon fluxes for the conterminous United States, which will benefit studies of carbon-climate feedback and facilitate policy-making of carbon management and climate.

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