What makes the satellite-based EVI–GPP relationship unclear in a deciduous broad-leaved forest?
Tóm tắt
Recent studies have suggested that gross primary production (GPP) of terrestrial vegetation can be estimated directly with the satellite-based Enhanced Vegetation Index (EVI). However, the reported EVI–GPP relationships showed wide variability, with the regression functions showing widely scattered data. In the present study, we examined the possible reasons for this variability in the EVI–GPP relationship using daily EVI values from satellite and field measurements and daily flux-based GPP in a cool-temperate deciduous broad-leaved forest in Japan. The variability appears to be caused by noise due to cloud contamination in the satellite data as well as the different seasonality of EVI and GPP, especially during the leaf-expansion period. Our findings indicate that improvement of cloud screening and consideration of the leaf-expansion period are critical when applying the EVI–GPP relationship.
Tài liệu tham khảo
Huete A, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG (2002) Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens Environ 83:195–213
Huete AR, Didan K, Shimabukuro YE, Ratana P, Saleska SR, Hutyra LR, Yang W, Nemani RR, Myneni R (2006) Amazon rainforests green-up with sunlight in dry season. Geophys Res Lett 33:L06405. doi:10.1029/2005GL025583
Li Z, Yu G, Xiao X, Li Y, Zhao X, Ren C, Zhang L, Fu Y (2007) Modeling gross primary production of alpine ecosystems in the Tibetan Plateau using MODIS images and climate data. Remote Sens Environ 107:510–519
Mo W, Lee M-S, Uchida M, Inatomi M, Saigusa N, Mariko S, Koizumi H (2005) Seasonal and annual variations in soil respiration in a cool-temperate deciduous broad-leaved forest in Japan. Agric For Meteorol 134:81–94
Muraoka H, Koizumi H (2005) Photosynthetic and structural characteristics of canopy and shrub trees in a cool-temperate deciduous broadleaved forest: implication to the ecosystem carbon gain. Agric For Meteorol 134:39–59
Muraoka H, Koizumi H (2009) Satellite Ecology (SATECO)-linking ecology, remote sensing and micrometeorology, from plot to regional scale, for the study of ecosystem structure and function. J Plant Res 122(1):3–20
Nishida K (2007) Phenological Eyes Network (PEN): a validation network for remote sensing of the terrestrial ecosystems. AsiaFlux Newslett Issue 21:9–13 (available online at http://www.asiaflux.net/)
Ohtsuka T, Akiyama T, Hashimoto Y, Inatomi M, Sakai T, Jia S, Mo W, Tsuda S, Koizumi H (2005) Biometric based estimates of net primary production (NPP) in a cool-temperate deciduous forest stand beneath a flux tower. Agric For Meteorol 134:27–38
Olofsson P, Lagergren F, Lindroth A, Lindström J, Klemedtsson L, Kutsch W, Eklundh L (2008) Towards operational remote sensing of forest carbon balance across Northern Europe. Biogeosciences 5:817–832
Rahman AF, Sims DA, Cordova VD, El-Masri BZ (2005) Potential of MODIS EVI and surface temperature for directly estimating per-pixel ecosystem C fluxes. Geophys Res Lett 32:L19404. doi:10.1029/2005GL024127
Saigusa N, Yamamoto S, Murayama S, Kondo H, Nishimura N (2002) Gross primary production and net ecosystem exchange of a cool-temperate deciduous forest estimated by the eddy covariance method. Agric For Meteorol 112:203–215
Saigusa N, Yamamoto S, Murayama S, Kondo H (2005) Inter-annual variability of carbon budget components in an AsiaFlux forest site estimated by long-term flux measurements. Agric For Meteorol 134:4–16
Sims DA, Rahman AF, Cordova VD, El-Masri BZ, Baldocchi DD, Flanagan LB, Goldstein AH, Hollinger DY, Misson L, Monson RK, Oechel WC, Schmid HP, Wofsy SC, Xu L (2006) On the use of MODIS EVI to assess gross primary productivity of North American ecosystems. J Geophys Res 111:G04015. doi:10.1029/2006JG000162
Sjöström M, Ardö J, Eklundh L, El-Tahir BA, El-Khidir HAM, Hellström M, Pilesjö P, Seaquist J (2009) Evaluation of satellite based indices for gross primary production estimates in a sparse savanna in the Sudan. Biogeosciences 6:129–138
Waring RH, Running SW (2007) Advances in eddy-flux analyses, remote sensing, and evidence of climate change. In: Forest ecosystems: analysis at multiple scales. Elsevier and Academic Press, Boston, pp 317–344
Wu W, Wang S, Xiao X, Yu G, Fu Y, Hao Y (2008) Modeling gross primary production of a temperate grassland ecosystem in Inner Mongolia, China, using MODIS imagery and climate data. Sci China Ser D Earth Sci 51(10):1501–1512
Wu JB, Xiao XM, Guan DX, Shi TT, Jin CJ, Han SJ (2009) Estimation of the gross primary production of an old-growth temperate mixed forest using eddy covariance and remote sensing. Int J Remote Sens 30(2):463–479
Xiao X, Hollinger D, Aber J, Goltz M, Davidson EA, Zhang Q, Moore BIII (2004a) Satellite-based modeling of gross primary production in an evergreen needleleaf forest. Remote Sens Environ 89:519–534
Xiao X, Zhang Q, Braswell B, Urbanski S, Boles S, Wofsy S, Moore B III, Ojima D (2004b) Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data. Remote Sens Environ 91:256–270
Xiao X, Zhang Q, Hollinger D, Aber J, Moore B III (2005) Modeling gross primary production of an evergreen needleleaf forest using MODIS and climate data. Ecol Appl 15(3):954–969
Yamamoto S, Murayama S, Saigusa N, Kondo H (1999) Seasonal and inter-annual variation of CO2 flux between a temperate forest and the atmosphere in Japan. Tellus 51B:402–413