Application of BIOME-BGC to simulate Mediterranean forest processes

Ecological Modelling

Volumn 206, Issue 1-2, 2007, Pages 179-190

  Chiesi, M ^a   Maselli, F ^a   Moriondo, M ^b   Fibbi, L ^a   Bindi, M ^b   Running, S W ^c  

^a INSTITUTE OF BIOMETEOROLOGY   (Italy)

^b UNIVERSITY OF FLORENCE   (Italy)

^c UNIVERSITY OF MONTANA   (United States)

Author keywords

BIOME BGC; C Fix; GPP; Mediterranean forest; Monitoring; Spot VGT

Indexed keywords

CALIBRATION; FORESTRY; NITROGEN; PHOTOSYNTHESIS; PHYSIOLOGICAL MODELS; TRANSPIRATION;

FIELD MEASUREMENTS; FOREST ENVIRONMENTS; MEDITERRANEAN FOREST;

ECOSYSTEMS;

ECOPHYSIOLOGY; ECOSYSTEM MODELING; FOREST ECOSYSTEM; MEDITERRANEAN ENVIRONMENT; PHOTOSYNTHESIS; PRIMARY PRODUCTION; TRANSPIRATION;

ECOSYSTEMS; FORESTRY; NITROGEN; TRANSPIRATION;

ILEX; PINUS PINASTER; QUERCUS CERRIS; QUERCUS ILEX;

EID: 34250866751     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2007.03.032     Document Type: Article

References (41)

1. Anselmi S., Chiesi M., Giannini M., Manes F., and Maselli F. Estimation of Mediterranean forest transpiration and photosynthesis through the use of an ecosystem simulation model driven by remotely sensed data. Global Ecol. Biogeogr. 13 4 (2004) 371-380
2. Arrigoni, P.V., Raffaelli, M., Rizzotto, M., Selvi, F., Viciani, 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., La vegetazione forestale. Serie Boschi e Macchie di Toscana. Regione Toscana, Giunta regionale, 1998, 215 pp.
3. Blasi C. Fitoclimatologia del Lazio. Fitosociologia 27 (1994) 151-175
4. Bolle H.J., Eckardt M., Koslowsky D., Maselli F., Melia-Miralles J., Menenti M., Olesen F.-S., Petkov L., Rasool I., and Van de Griend A. Mediterranean Land-surface Processes Assessed from Space (2006), Springer, Series: Regional Climate Studies, XXVIII 760 pp.
5. Chiesi M., Maselli F., Bindi M., Fibbi L., Bonora L., Raschi A., Tognetti R., Cermak J., and Nadezhdina N. Calibration and application of FOREST-BGC in a Mediterranean area by the use of conventional and remote sensing data. Ecol. Modell. 154 (2002) 251-262
6. Chiesi M., Maselli F., Bindi M., Fibbi L., Cherubini P., Arlotta E., Tirone G., Matteucci G., and Seufert G. Modelling carbon budget of Mediterranean forests using ground and remote sensing measurements. Agric. For. Meteorol. 135 (2005) 22-34
7. Coops N.C., Waring R.H., Brown S.R., and Running S.W. Comparisons of predictions of net primary production and seasonal patterns in water use derived with two forest growth models in Southwestern Oregon. Ecol. Modell. 142 (2001) 61-81
8. Cramer W., Kicklighter D.W., Bondeau A., Moore B., Churkina C., Nemry B., Ruimy A., and Schloss A.L. Comparing global models of terrestrial net primary productivity (NPP): overview and key results. Global Change Biol. 5 (1999) 1-15
9. DREAM, 2003. Tenuta di San Rossore. Note illustrative della carte forestale e della fruizione turistica. Published by S.E.L.C.A. Firenze, Italy, May 2003.
10. Escadafal, R., Bohbot, H., Mégier, J., 2001. Changes in Arid Mediterranean Ecosystems on the long term through Earth Observation (CAMELEO). Final Report of EU contract IC18-CT97-0155, Edited by Space Applications Institute, JRC, Ispra, Italy.
11. Foley J.A. Net primary productivity in the terrestrial biosphere: the application of a global model. J. Geophys. Res. 99 (1994) 20773-20783
12. Gash J.H.C., Valente F., and David J.S. Estimates and measurements of evaporation from wet sparse pine forest in Portugal. Agric. For. Meteorol. 94 (1999) 149-158
13. Holben B.N. Characteristics of maximum-value composite images from temporal AVHRR data. Int. J. Remote Sens. 7 (1986) 1417-1434
14. IPPC, 2001. Climate change 2001. IPPC Third Assessment Report. Available from: http://www.grida.no/climate/ipcc_tar/.
15. Kimball J.S., Running S.W., and Nemani R. An improved method for estimating surface humidity from daily minimum temperature. Agric. For. Meteorol. 85 (1997) 87-98
16. Lacaze, B., Caselles, V., Coll, C., Hill, H., Hoff, C., De Jong, S., Mehl, W., Negendank, J.F.W., Riesebos, H., Rubio, E., Sommer, S., Teixeira Filho, J., Valor, E., 1996. DeMon-Integrated Approaches to Desertification Mapping and Monitoring in the Mediterranean Basin. Final Report of DeMon-1 Project, Joint Research Centre of European Commission, Ispra (VA), Italy.
17. Lieth H. Modeling the primary productivity of the world. In: Lieth H., and Whittaker R.H. (Eds). Primary Productivity of the Biosphere (1975), Springer-Verlag, New York 237-263
18. Liu J., Chen J.M., Cihlar J., and Park W.M. A process-based Boreal Ecosystem Productivity Simulator using remote sensing inputs. Remote Sens. Environ. 62 (1997) 158-175
19. Maisongrande P., Duchemin B., and Dedieu G. VEGETATION/SPOT: an operational mission for the Earth monitoring; presentation of new standard products. Int. J. Remote Sens. 25 (2004) 9-14
20. Maselli F., Barbati A., Chiesi M., Chirici G., and Corona P. Use of remotely sensed and ancillary data for estimating forest gross primary productivity in Italy. Remote Sens. Environ. 100 (2006) 563-575
21. Maselli F., and Chiesi M. 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 (2005) 135-143
22. Matsushita B., Xu M., Chen J., Kameyama S., and Tamura M. Estimation of regional net primary productivity (NPP) using a process-based ecosystem model: How important is the accuracy of climate data?. Ecol. Modell. 178 (2004) 371-388
23. Mollicone D., Matteucci G., Köble R., Masci A., Chiesi M., and Smits P.C. A model-based approach for the estimation of carbon sinks in European forests. In: Valentini R. (Ed). Fluxes of Carbon, Water and Energy in European Forests (2003), Springer-Verlag, Berlin
24. Myneni R.B., and Williams D.L. On the relationship between FAPAR and NDVI. Remote Sens. Environ. 49 (1994) 200-211
25. Odum E.P. Fundamentals of Ecology. 3rd ed. (1971), W.B. Saunders, Philadelphia
26. Pignatti S. I boschi d'Italia. Sinecologia e biodiversità (1998), UTET, Torino
27. Potter C.S., Randerson J.T., Field C.B., Matson P.A., Vitousek P.M., Mooney H.A., and Klooster S.A. Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biogeochem. Cycles 7 (1993) 811-841
28. Rapetti F., and Vittorini S. Carta climatica della Toscana (1995), Pacini Editore, Pisa, Italy
29. Running S.W., Nemani R.R., and Hungerford R.D. Extrapolation of synoptic meteorological data in mountainous terrain and its use for simulating forest evaporation and photosynthesis. Can. J. For. Res. 17 (1987) 472-483
30. Running S.W., and Coughlan J.C. A general model of forest ecosystem processes for regional applications. I. Hydrologic balance, canopy gas exchange and primary production processes. Ecol. Modell. 42 (1988) 125-154
31. Running S.W., and Hunt E.R. Generalization of a forest ecosystem process model for other biomes, BIOME-BGC, and an application for global-scale models. In: Ehleringer J.R., and Field C.B. (Eds). Scaling Physiological Processes: Leaf to Globe (1993), Academic Press, San Diego 141-158
32. Thornton P.E., Running S.W., and White M.A. Generating surfaces of daily meteorological variables over large regions of complex terrain. J. Hydrol. 190 (1997) 214-251
33. Thornton P.E., and Running S.W. An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity and precipitation. Agric. For. Meteorol. 93 (1999) 211-228
34. Thornton P.E., Hasenauer H., and White M.A. Simultaneous estimation of daily solar radiation and humidity from observed temperature and precipitation: an application over complex terrain in Austria. Agric. For. Meteorol. 104 (2000) 255-271
35. Tirone, G., 2003. Stima del bilancio del carbonio di due ecosistemi forestali mediterranei. Confronto fra una lecceta e una pineta. PhD Thesis, University of Tuscia, Department of Forest Environment, pp. 113+VII.
36. Van der Leew (Ed.), 1998. Understanding the Natural and Anthropogenic Causes of Land Degradation and Desertification in the Mediterranean Basin. Synthesis of the Archaeomedes Project, Directorate General XII of the European Commission, Contract EV5V-91_0021, pp. 1-24.
37. Veroustraete F., Patyn J., and Myneni R.B. Forcing of a simple ecosystem model with fAPAR and climatic data to estimate regional scale photosynthetic assimilation. In: Veroustraete F., et al. (Ed). VGT, Modelling and Climate Change Effects (1994), Academic Publishing, The Hague, The Netherlands 151-177
38. Veroustraete F., Sabbe H., and Eerens H. Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data. Remote Sens. Environ. 83 (2002) 376-399
39. Veroustraete F., Sabbe H., Rasse D.P., and Bertels L. Carbon mass fluxes of forests in Belgium determined with low resolution optical sensors. Int. J. Remote Sens. 25 4 (2004) 769-792
40. Waring H.R., and Running S.W. Forest Ecosystems. Analysis at Multiples Scales. 2nd ed. (1998), Academic Press, San Diego p. 55
41. White M.A., Thornton P.E., Running S.W., and Nemani R.R. Parameterisation and sensitivity analysis of the BIOME-BGC terrestrial ecosystem model: net primary production controls. Earth Interact. 4 (2000) 1-85