Validating an integrated strategy to model net land carbon exchange against aircraft flux measurements

被引:11
作者
Maselli, Fabio [1 ]
Gioli, Beniamino [1 ]
Chiesi, Marta [1 ]
Vaccari, Francesco [1 ]
Zaldei, Alessandro [1 ]
Fibbi, Luca [1 ]
Bindi, Marco [2 ]
Miglietta, Franco [1 ]
机构
[1] CNR, IBIMET, I-50019 Sesto Fiorentino, FI, Italy
[2] Univ Florence, DISAT, I-50145 Florence, Italy
关键词
NEE; Aircraft eddy covariance; C-Fix; MODIS; BIOME-BGC; EDDY COVARIANCE; COMPLEX TERRAIN; ANCILLARY DATA; MASS FLUXES; SURFACE; PRODUCTIVITY; RESPIRATION; AIRBORNE; MONITOR; REGIONS;
D O I
10.1016/j.rse.2009.12.023
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Aircraft eddy covariance technique is a modern and powerful means to directly measure net ecosystem exchange (NEE) over relatively large land areas. The NEE measurements taken by a specifically developed aircraft platform (Sky Arrow ERA) over a transect in Central Italy during an 18-month period are used to validate a recently proposed modeling strategy. The strategy is based on the integration of the outputs from a NDVI-driven parametric model, C-Fix, and a model of ecosystem processes, BIOME-BGC, and can simulate both gross and net land carbon fluxes over different spatial and temporal scales. The application of this strategy to 1-km resolution ground and remotely sensed data descriptive of the study area enables the production of NEE estimates comparable to the aircraft measurements. The agreement between the two data series is high, especially when averaging the modeling outputs over areas consistent with the Sky Arrow footprint (i.e. 1-2 pixels apart from the flight line). Fractional forest cover and NDVI are the two model driving variables which explain most spatial variability of the aircraft NEE measurements. The modeling strategy yields the best performances for spring-summer seasons, when vegetation photosynthetic and respiratory processes are higher and easier to simulate. These performances are finally commented with specific emphasis on the contribution brought by remote sensing information. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:1108 / 1116
页数:9
相关论文
共 46 条
[1]  
[Anonymous], CLIM CHANG 2007 IPCC
[2]  
[Anonymous], SERIE BOSCHI MACCHIE
[3]   Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future [J].
Baldocchi, DD .
GLOBAL CHANGE BIOLOGY, 2003, 9 (04) :479-492
[4]  
BOLLE HJ, 2006, SERIES REGIONAL CLIM
[5]   Determinants of the interannual relationships between remote sensed photosynthetic activity and rainfall in tropical Africa [J].
Camberlin, P. ;
Martiny, N. ;
Philippon, N. ;
Richard, Y. .
REMOTE SENSING OF ENVIRONMENT, 2007, 106 (02) :199-216
[6]   Application of BIOME-BGC to simulate Mediterranean forest processes [J].
Chiesi, M. ;
Maselli, F. ;
Moriondo, M. ;
Fibbi, L. ;
Bindi, M. ;
Running, S. W. .
ECOLOGICAL MODELLING, 2007, 206 (1-2) :179-190
[7]  
CHIESI M, ECOSYSTEMS UNPUB
[8]  
CHIESI M, CANADIAN J IN PRESS
[9]   Comparison of three models for predicting gross primary production across and within forested ecoregions in the contiguous United States [J].
Coops, Nicholas C. ;
Ferster, Colin J. ;
Waring, Richard H. ;
Nightingale, Joanne .
REMOTE SENSING OF ENVIRONMENT, 2009, 113 (03) :680-690
[10]   Air-surface exchange measurement in heterogeneous regions: Extending tower observations with spatial structure observed from small aircraft [J].
Crawford, TL ;
Dobosy, RJ ;
McMillen, RT ;
Vogel, CA ;
Hicks, BB .
GLOBAL CHANGE BIOLOGY, 1996, 2 (03) :275-285