Reply to the comment on Vickers et al. (2009): Self-correlation between assimilation and respiration resulting from flux partitioning of eddy-covariance CO2 fluxes

2010 ◽  
Vol 150 (2) ◽  
pp. 315-317 ◽  
Author(s):  
Dean Vickers ◽  
Christoph K. Thomas ◽  
Jonathan G. Martin ◽  
Beverly Law
2010 ◽  
Vol 150 (2) ◽  
pp. 312-314 ◽  
Author(s):  
Gitta Lasslop ◽  
Markus Reichstein ◽  
Matteo Detto ◽  
Andrew D. Richardson ◽  
Dennis D. Baldocchi

2009 ◽  
Vol 149 (9) ◽  
pp. 1552-1555 ◽  
Author(s):  
Dean Vickers ◽  
Christoph K. Thomas ◽  
Jonathan G. Martin ◽  
Beverly Law

2016 ◽  
Author(s):  
Masahito Ueyama ◽  
Tomoya Ando

Abstract. To evaluate CO2 emissions in urban areas and their temporal and spatial variabilities, continuous measurements of CO2 fluxes were conducted using the eddy covariance method at three locations in Sakai, Osaka, Japan. Based on the flux footprint at the measurement sites, CO2 fluxes from the three sites were partitioned into five datasets representing a dense urban center, a moderately urban area, a suburb, an urban park, and a rural area. Distinct biological uptake of CO2 was observed in the suburb, urban park, and rural areas in the daytime, whereas high emissions were observed at dense and moderate urban areas in daytime. Weekday CO2 emissions in the dense urban center and suburban area were approximately 50 % greater than during weekend and holidays, but the other landscapes did not exhibit a clear weekly cycle. Seasonal variations in the urban park, rural area, and suburban area were influenced by vegetation activities, exhibiting the lowest daily emissions or even uptakes during summer months. In contrast, the dense and moderately urban areas exhibited higher emissions in winter and summer months, when emissions significantly increased as air temperature increased in summer and air temperature decreased in winter. Irrespective of the landcover type, all urban landscapes measured in this study acted as net annual CO2 sources, with emissions ranging from 0.5 to 4.9 kg C m−2 yr−1. The magnitude of the annual CO2 emissions was negatively correlated with green fraction; areas with a smaller green fraction had higher annual CO2 emissions. Upscaled flux estimates based on the green fraction indicated that the emissions for the entire city were 3.3 kg C m−2 yr−1, which is equivalent to 0.5 Tg C yr−1 or 1.8 Mt CO2 yr−1 based on the area of the city (149.81 km2). A network of eddy covariance measurements is a powerful tool to evaluate CO2 emissions from urban areas.


2018 ◽  
Vol 10 (11) ◽  
pp. 1831 ◽  
Author(s):  
Jianbin Tao ◽  
Deepak Mishra ◽  
David Cotten ◽  
Jessica O’Connell ◽  
Monique Leclerc ◽  
...  

Despite the importance of tidal ecosystems in the global carbon budget, the relationships between environmental drivers and carbon dynamics in these wetlands remain poorly understood. This limited understanding results from the challenges associated with in situ flux studies and their correlation with satellite imagery which can be affected by periodic tidal flooding. Carbon dioxide eddy covariance (EC) towers are installed in only a few wetlands worldwide, and the longest eddy-covariance record from Georgia (GA) wetlands contains only two continuous years of observations. The goals of the present study were to evaluate the performance of existing MODIS Gross Primary Production (GPP) products (MOD17A2) against EC derived GPP and develop a tide-robust Normalized Difference Moisture Index (NDMI) based model to predict GPP within a Spartina alterniflora salt marsh on Sapelo Island, GA. These EC tower-based observations represent a basis to associate CO2 fluxes with canopy reflectance and thus provide the means to use satellite-based reflectance data for broader scale investigations. We demonstrate that Light Use Efficiency (LUE)-based MOD17A2 does not accurately reflect tidal wetland GPP compared to a simple empirical vegetation index-based model where tidal influence was accounted for. The NDMI-based GPP model was capable of predicting changes in wetland CO2 fluxes and explained 46% of the variation in flux-estimated GPP within the training data, and a root mean square error of 6.96 g C m−2 in the validation data. Our investigation is the first to create a MODIS-based wetland GPP estimation procedure that demonstrates the importance of filtering tidal observations from satellite surface reflectance data.


2011 ◽  
Vol 28 (3) ◽  
pp. 365-377 ◽  
Author(s):  
Fabien Gibert ◽  
Grady J. Koch ◽  
Jeffrey Y. Beyon ◽  
Timothy W. Hilton ◽  
Kenneth J. Davis ◽  
...  

Abstract The vertical profiling of CO2 turbulent fluxes in the atmospheric boundary layer (ABL) is investigated using a coherent differential absorption lidar (CDIAL) operated nearby a tall tower in Wisconsin during June 2007. A CDIAL can perform simultaneous range-resolved CO2 DIAL and velocity measurements. The lidar eddy covariance technique is presented. The aims of the study are (i) an assessment of performance and current limitation of available CDIAL for CO2 turbulent fluxes and (ii) the derivation of instrument specifications to build a future CDIAL to perform accurate range-resolved CO2 fluxes. Experimental lidar CO2 mixing ratio and vertical velocity profiles are successfully compared with in situ sensors measurements. Time and space integral scales of turbulence in the ABL are addressed that result in limitation for time averaging and range accumulation. A first attempt to infer CO2 fluxes using an eddy covariance technique with currently available 2-μm CDIAL dataset is reported.


2017 ◽  
Vol 3 (10) ◽  
pp. 1392830 ◽  
Author(s):  
A. Camilo Rey-Sánchez ◽  
Gil Bohrer ◽  
Timothy H. Morin ◽  
Dekel Shlomo ◽  
Golnazalsadat Mirfenderesgi ◽  
...  
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document