Assessment of forest GPP variations in Central Italy by the analysis of meteorological, satellite and dendrochronological data. (Articolo in rivista)

Type
Label
  • Assessment of forest GPP variations in Central Italy by the analysis of meteorological, satellite and dendrochronological data. (Articolo in rivista) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • Rodolfi A.; Chiesi M.; Tagliaferri G.; Cherubini P.; Maselli F. (2007)
    Assessment of forest GPP variations in Central Italy by the analysis of meteorological, satellite and dendrochronological data.
    in Canadian journal of forest research (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Rodolfi A.; Chiesi M.; Tagliaferri G.; Cherubini P.; Maselli F. (literal)
Pagina inizio
  • 1944 (literal)
Pagina fine
  • 1953 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 37 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • A. Rodolfi 1, M. Chiesi 1, G. Tagliaferri 1, P. Cherubini 2, F. Maselli 1 1 IBIMET-CNR, Via Madonna del Piano 10, I-50019 Sesto Fiorentino, Italy 2 WSL, CH-8903 Birmensdorf, Switzerland. (literal)
Titolo
  • Assessment of forest GPP variations in Central Italy by the analysis of meteorological, satellite and dendrochronological data. (literal)
Abstract
  • A debate is in progress concerning the possible effects of climate changes on the primary production of both natural and artificial ecosystems. The current investigation builds on the hypothesis that trends of increasing air temperature observed in several Italian regions should positively affect productivity of mountain forest ecosystems. Temperature rise in the Mugello valley (Central Italy) in the period 1986-2001 was first confirmed by the analysis of data from a local station. The effects of this rise on the productivity of deciduous forest ecosystems (dominated by beech, Fagus sylvatica L.) were then analysed through estimates of the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) derived from NOAA-AVHRR Normalised Difference Vegetation Index (NDVI) data. The use of a simplified parametric model (C-Fix) then allowed the combination of these FAPAR estimates with meteorological data (temperature and radiation) to produce annual values of forest Gross Primary Productivity (GPP). The validation of these GPP estimates was finally carried out by a comparison to dendrochronological measurements taken in the study forests. Since these last measurements were affected by external factors not exclusively related to forest GPP (stand aging, management practices, etc.), the comparison gave positive results only after applying a detrending operation to both series of annual GPP estimates and dendrochronological data. These results are a first indication that the rise in temperature occurred in Italy in the last decades has positively affected the productivity of mountain forest ecosystems. (literal)
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