Integration of ground and satellite data to model Mediterranean forest processes

International Journal of Applied Earth Observation and Geoinformation

Volumn 13, Issue 3, 2011, Pages 504-515

  Chiesi, M ^a   Fibbi, L ^a   Genesio, L ^a   Gioli, B ^a   Magno, R ^a   Maselli, F ^a   Moriondo, M ^a   Vaccari, F P ^a  

^a CNR Ibimet   (Italy)

Author keywords

BIOME BGC; C Fix; ET; GPP; Mediterranean forest; NEE

Indexed keywords

BIOGEOCHEMISTRY; CARBON FLUX; FOREST ECOSYSTEM; MEDITERRANEAN ENVIRONMENT; NDVI; NUMERICAL MODEL; SATELLITE DATA; VEGETATION COVER; WATER BUDGET;

ITALY; LIVORNO [TUSCANY]; PIANOSA; TUSCAN ARCHIPELAGO; TUSCANY;

EID: 79955603779     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2010.10.006     Document Type: Article

References (46)

1. Anderson, T.W., 1984. An Introduction to Multivariate Statistical Analysis, 2nd edition. John Wiley and Sons, New York.
2. Arrigoni, P.V., Raffaelli, M., Rizzotto, M., Selvi, F., Vicini, D., Lombardi, L., Foggi, B., Melillo, C., Benesperi, R., Ferretti, G., Benucci, S., Turrini, S., di Tommaso, P.L., Signorini, M., Bargelli, E., Miniati, U., Farioli, C., de Dominicis, V., Casini, S., Chiarucci, A., Tomei, P.E., Ansaldi, M., Maccioni, S., Guazzi, E., Zocco Pisana, L., Cenerini, A., Dell'Olmo, L., Menicagli, E., 1998. La vegetazione forestale. Serie Boschi eM acchie di Toscana. Regione Toscana, Giunta regionale, 215 pp.
3. Baldocchi, D.D., 2003. Assessing ecosystem carbon balance: problems and prospects of the eddy covariance technique. Global Change Biol. 9, 479-492.
4. Bannari, A., Morin, D., Bonn, F., Huete, A.R., 1995. A review of vegetation indices. Remote Sens. Rev. 13, 95-120.
5. Baraldi, R., Vaccari, F.P., Colom, M.R., Cotrufo, M.F., D'Acqui, L.P., 2004. The Pianosa LAB: an integrated research project to assess the carbon balance of Pianosa island. J. Mediterr. Ecol. 5, 5-13.
6. Baret, F., Guyot, G., 1991. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sens. Environ. 46, 213-222.
7. Bolle, H.J., Eckardt, M., Koslowsky, D., Maselli, F., Melia-Miralles, J., Menenti, M., Olesen, F.S., Petkov, L., Rasool, I., Van de Griend, A., 2006. Mediterranean Landsurface Processes Assessed from Space. Regional Climate Studies 2006, vol. XXVIII. Springer Series, 760 pp.
8. Castellani, C., 1970. Tavole stereometriche ed alsometriche costruite per i boschi italiani, vol. 1, no. 1. Annali dell'Istituto Sperimentale per l'Assestamento Forestale e per l'Alpicoltura, Trento (special).
9. Chiesi, M., Maselli, F., Bindi, M., Fibbi, L., Cherubini, P., Arlotta, E., Tirone, G., Matteucci, G., Seufert, G., 2005. Modelling carbon budget of Mediterranean forests using ground and remote sensing measurements. Agric. For. Metereol. 135, 22-34.
10. Chiesi, M., Maselli, F., Moriondo, M., Fibbi, L., Bindi, M., Running, S.W., 2007. Application of BIOME-BGC to simulate Mediterranean forest processes. Ecol. Model. 206, 179-190.
11. Chiesi, M., Moriondo, M., Maselli, F., Gardin, L., Fibbi, L., Bindi, M., Running, S.W., 2010. Simulation of Mediterranean forest carbon pools under expected environmental scenarios. Can. J. For. Res. 40, 850-860.
12. Churkina, G., Tenhunen, J., Thornton, P., Falge, E.M., Elbers, J.A., Erhard, M., Grunwald, T., Kowalski, A.S., Rannik, U., Sprinz, D., 2003. Analyzing the ecosystem carbon dynamics of four European coniferous forests using a biogeochemistry model. Ecosystems 6, 168-184.
13. Colom, M.R., Vaccari, F.P., Scartazza, A., Brugnoli, E., Zerbi, G., Sforzi, S., Baraldi, R., Cotrufo, M.F., D'Acqui, L., Santi, C., Vazzana, C., Vivoli, R., Spaccino, L., 2004. Pianosa island: structure. functioning and biodiversity of main ecosystems. J. Mediterr. Ecol. 5 (1), 31-40.
14. Curran, P.J., 2001. Imaging spectrometry for ecological applications. Int. J. Appl. Earth Observ. Geoinform. 3, 305-312.
15. D'Acqui, L.P., Santi, C.A., Maselli, F., 2007. Use of ecosystem information to improve soil organic carbon mapping in a Mediterranean island. J. Environ. Qual. 36, 262-271.
16. DREAm, 2003. Note illustrative della carta forestale e della fruizione turistica. Ente Parco Migliarino, San Rossore, Massaciuccoli S.EL.CA. Firenze.
17. Dorigo, W.A., Zurita-Milla, R., de Witt, A.J.W., Brazile, J., Singh, R., Schaepman, M.E., 2007. A review on reflective remote sensing and data assimilation tecniques for enhanced agroecosystem modeling. Int. J. Appl. Earth Observ. Geoinform. 9, 165-193.
18. Emberger, L., Gaussen, H., Kassas, M., De Philippis, A., 1963. Carte bioclimatique de la zone Mediterraneenne, 1:5000000. UNESCO/FAO, Paris/Rome.
19. Foken, T., Wichura, B., 1996. Tools for quality assessment of surface based flux mesurements. Agric. For. Manag. 78, 83-105.
20. Garbulsky, M.F., Peñuelas, J., Papale, D., Ardö, J., Goulden, M.L., Kiely, G., Richardson, A.D., Rotenberg, E., Veenendaal, E.M., Filella, I., 2010. Patterns and controls of the variability of radiation use efficiency and primary productivity across terrestrial ecosystems. Global Ecol. Biogeogr. 19, 253-267.
21. Heinsch, F.A., Reeves, M., Votava, P., Kang, S., Milesi, C., Zhao, M., Glassy, J., Jolly, W.M., Loehman, R., Bowker, C.F., Kimball, J.S., Nemani, R.R., Running, S.W., 2003. User's Guide GPP and NPP (MOD17A2/A3) Products NASA MODIS Land Algorithm. Version 2.0, www.ntsg.umt.edu/modis/ (December 2, 2003).
22. Heinsch, F.A., Zha, M., Running, S.W., Kimball, J.S., Nemani, R.R., Davis, K.J., Bolstad, P.V., Cook, B.D., Desai, A.R., Ricciuto, D.M., Law, B.E., Oechel, W.C., Kwon, H., Luo, H., Wofsy, S.C., Dunn, A.L., Munger, J.W., Baldocchi, D.D., Xu, L., Hollinger, D.Y., Richardson, A.D., Stoy, P.C., Siqueira, M.B.S., Monson, R.K., Burns, S.P., Flanagan, L.B., 2006. Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE Trans. Geosci. Remote Sens. 44 (7), 1908-11925.
23. IPCC, 2007. Climate Change 2007. IPCC Forth Assessment Report, Available from: http://www.ipcc.ch/.
24. Iqbal, M., 1983. An Introduction to Solar Radiation. Academic Press, New York, USA. ISSS-ISRIC-FAO, 1998. World Reference Base for Soil Resources. Acco Press, Leuven, Belgium.
25. Maselli, F., 2001. Definition of spatially variable spectral end-members by locally calibrated multivariate regression analyses. Remote Sens. Environ. 75, 29-38.
26. Maselli, F., Chiesi, M., 2005. Integration of high and low-resolution satellite data to estimate pine forest productivity in a Mediterranean coastal area. IEEE Trans. Geosci. Remote Sens. 43 (1), 135-143.
27. Maselli, F., Chiesi, M., 2006. Evaluation of statistical methods to estimate forest volume in a Mediterranean region. IEEE Trans. Geosci. Remote Sens. 44 (8), 2239-2250.
28. Maselli, F., Chiesi, M., Fibbi, L., Moriondo, M., 2008. Integration of remote sensing and ecosystem modelling techniques to estimate forest net carbon uptake. Int. J. Remote Sens. 29 (8), 2437-2443.
29. Maselli, F., Chiesi, M., Moriondo, M., Fibbi, L., Bindi, M., Running, S.W., 2009a. Modelling the forest carbon budget of a Mediterranean region through the integration of ground and satellite data. Ecol. Model. 220, 330-342.
30. Maselli, F., Papale, D., Puletti, N., Chirici, G., Corona, P., 2009b. Combining remote sensing and ancillary data to monitor the gross productivity of water-limited forest ecosystems. Remote Sens. Environ. 113, 657-667.
31. Maselli, F., Gioli, B., Chiesi, M., Vaccari, V., Zaldei, A., Fibbi, L., Bindi, M., Miglietta, F., 2010. Validating an integrated strategy to model net land carbon exchange against aircraft flux measurements. Remote Sens. Environ. 114, 1108-1116.
32. Myneni, R.B., Williams, D.L., 1994. On the relationship between FAPAR and NDVI. Remote Sens. Environ. 49, 200-211.
33. Odum, E.P., 1971. Fundamentals of Ecology, 3rd edition. W.B. Saunders, Philadelphia.
34. Papale, D., Reichstein, M., Aubinet, M., Canfora, E., Bernhofer, C., Kutsch, W., Longdoz, B., Rambal, S., Valentini, R., Vesala, T., Yakir, D., 2006. Towards a standardized processing of net ecosystem exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosciences 3, 571-583.
35. Pietsch, S.A., Hasenauer, H., Thornton, P.E., 2005. BGC-model parameters for tree species growing in central European forests. Forest Ecol. Manag. 211, 264-295.
36. Rapetti, F., Vittorini, S., 1995. Carta Climatica Della Toscana. Pacini Editore, Pisa, Italy.
37. Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M., Berbigier, P., Bernhofer, C., Buchmann, N., Gilmanov, T., Granier, A., Grünwald, T., Havránková, K., Ilvesniemi, H., Janous, D., Knohl, A., Laurila, T., Lohila, A., Loustau, D., Matteucci, G., Meyers, T., Miglietta, F., Ourcival, J., Pumpanen, J., Rambal, S., Rotenberg, E., Sanz, M., Tenhunen, J., Seufert, G., Vaccari, F., Vesala, T., Yakir, D., Valentini, R., 2005. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Global Change Biol. 11, 1424-1439.
38. Running, S.W., Hunt, E.R., 1993. Generalization of a forest ecosystem process model for other biomes, BIOME-BGC, and an application for global-scale models. In: Ehleringer, J.R., Field, C.B. (Eds.), Scaling Physiological Processes: Leaf to Globe. Academic Press, San Diego, pp. 141-158.
39. Thornton, P.E., Running, S.W., White, M.A., 1997. Generating surfaces of daily meteorological variables over large regions of complex terrain. J. Hydrol. 190, 214-251.
40. Thornton, P.E., Hasenauer, H., White, M.A., 2000. Simultaneous estimation of daily solar radiation and humidity from observed temperature and precipitation: an application over complex terrain in Austria. Agric. For. Meteorol. 104, 255-271.
41. Veroustraete, F., Sabbe, H., Eerens, H., 2002. Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data. Remote Sens. Environ. 83, 376-399.
42. Veroustraete, F., Sabbe, H., Rasse, D.P., Bertels, L., 2004. Carbon mass fluxes of forests in Belgium determined with low resolution optical sensors. Inter. J. Remote Sens. 25, 769-792.
43. Vesala, T., Kljun, N., Rannik, Ü., Rinne, J., Sogachev, A., Markkanen, T., Sabelfeld, K., Foken, Th., Leclerc, M.Y., 2008. Flux and concentration footprint modelling: state of the art. Environ. Pollut. 152, 653-666.
44. Yang, F., Ichii, K., White, M.A., Hashimoto, H., Michaelis, A.R., Votava, P., Zhu, A.-X., Huete, A., Running, S.W., Nemani, R.R., 2007. Developing a continental-scale measure of gross primary production by combining MODIS and AmeriFlux data through Support Vector Machine approach. Remote Sens. Environ. 110, 109-122.
45. Waring, H.R., Running, S.W., 2007. Forest Ecosystems. Analysis at Multiples Scales, 3rd edition. Academic Press, San Diego.
46. White, M.A., Thornton, P.E., Running, S.W., Nemani, R.R., 2000. Parameterisation and sensitivity analysis of the BIOME-BGC terrestrial ecosystem model: net primary production controls. Earth Int. 4, 1-85.