title: Modelling vegetation greenness responses to climate variability in a Mediterranean terrestrial ecosystem.
abstract: This work presents a modelling study where monthly-based climate data are used to estimate the Normalized Difference Vegetation Index (NDVI). The latter is a measure of vegetation greenness, usually derived from satellite-driven information. A model was developed to link NDVI data to rainfall and temperature measures. The test area was a 3 x 3 km grid centred to the top of Monte Pino hill (Southern Italy), for which multi-year (from 1996 to 2004) climate and satellite-derived NDVI data were available. The simulated NDVI data compared well with the remote-sensed measurements (e.g. modelling efficiency approximately 0.80), thus showing a strong linking between vegetation greenness and climate patterns in spite of the many disturbances exerted from farming. The model was used to reconstruct an extended series of monthly NDVI values for a period antecedent 1996 (1972-1995). The analysis of long-term anomalies indicated a positive trend of NDVI over time, consistent with the air temperature increase registered in the same period.
authors.affiliation: Monte Pino Met Research Observatory, TEMS Network-Terrestrial Ecosystem Monitoring Sites (FAO-United Nations), via Contrada Monte Pino, 82100 Benevento, Italy. scodalabdiodato@gmail.com
authors.forename: Nazzareno
authors.initials: N
authors.lastname: Diodato
authors.forename: Gianni
authors.initials: G
authors.lastname: Bellocchi
mesh_terms: D002980:Climate; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods; D005843:Geography; D007558:Italy; D008962:Models, Theoretical; D011891:Rain; D017215:Satellite Communications; D013696:Temperature