A new assessment of European forests carbon exchanges by eddy fluxes and artificial neural network spatialization

Global Change Biology

Volumn 9, Issue 4, 2003, Pages 525-535

  Papale, Dario ^a   Valentini, Riccardo ^a  

^a UNIVERSITY OF TUSCIA   (Italy)

Author keywords

Biogeochemical cycles; Biospheric exchanges; Carbon fluxes; Eddy covariance; Micrometeorology; Neural network

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BIOGEOCHEMICAL CYCLE; CARBON FLUX; EDDY COVARIANCE; FOREST ECOSYSTEM;

EUROPE;

EID: 0037884965     PISSN: 13541013     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1365-2486.2003.00609.x     Document Type: Article

References (16)

1. Aubinet M, Grelle A, Ibrom A et al. (2000) Estimates of the annual net carbon and water exchange of forests: the EUROFLUX methodology. Advances in Ecological Research, 30, 113-175.
2. Barciela RM, Garcia E, Feràndez E (1999) Modelling primary production in a costal embayment affected by upwelling using dynamic ecosystem models and artificial neural networks. Ecological Modelling, 120, 199-211.
3. Bishop CM (1995) Neural Networks for Pattern Recognition. 482pp, Oxford University Press, New York.
4. Bousquet P, Peylin P, Ciais P et al. (2000) Regional changes in carbon dioxide fluxes of land and oceans since 1980. Science, 290, 1342-1346.
5. Cracknell AP (1997) The Advanced Very High Resolution Radiometer. Taylor & Francis.
6. 2 and climate change: results from six dynamic global vegetation models. Global Change Biology, 7, 357-373.
7. Demuth H, Beale M (2000) Neural Network Toolbox - For use with MATLAB, Version 4. The Math Works Inc., Natick.
8. EUROFLUX (1999) ENV4-CT95-0078, Final Report. European Commission, Directorate General for Research, Belgium.
9. Falge E, Baldocchi D, Olso R et al. (2001) Gap filling strategies for defensible annual sums of net ecosystem exchange. Agricultural and Forest Meteorology, 107, 43-69.
10. Lek S, Guégan JF (2000) Artificial Neuronal Networks - Application to Ecology and Evolution. 262pp, Springer, Berlin.
11. Lindroth A, Grelle A, Morén AS (1998) Long-term measurements of boreal forest carbon balance reveal large temperature sensitivity. Global Change Biology, 4, 443-450.
12. Running SW, Loveland TR, Pierce LL (1994) A vegetation classification logic based on remote sensing for use in global biogeochemical models. Ambio, 23 (1), 77-81.
13. Schulze ED, Dolman AJ, Jarvis P et al. (2001) The Carbon Sink: Absorption Capacity of the European Terrestrial Biosphere. EUR19883, European Commission, Directorate-General for Research, Luxembourg.
14. Schulze E-D, Koch W (1971) Measurement of primary production with curettes. In: Productivity of Forest Ecosystems. Proceedings of the Brussels Symposium 1969. UNESCO, pp. 141-157.
15. Valentini R, Matteucci G, Dolman AJ et al. (2000) Respiration as the main determinant of carbon balance in European forests. Nature, 404, 861-865.
16. Van Wijk MT, Bouten W (1999) Water and carbon fluxes above European coniferous forests modelled with artificial neural networks. Ecological Modelling, 120, 181-197.