The aim of this study is to investigate the microclimates of the different plant communities in the Castelporziano Estate to identify changes at short and medium time. Air temperature and humidity, soil temperature and PAR (Photosynthetic Active Radiation) were monthly monitored. Measurements were taken in 21 stations, 6 of which along a transect in the vegetation of the dunes and the other 15 stations in forest associations. The dataset have been processed using different statistical treatments: (1) analysis of variance to evaluate the homeostatic capacity of the different communities; (2) analysis of microclimatic deviations values from mesoclimatic data, represented by Castelporziano Estate meteo-climatic stations, to detect microclimatic differences; (3) Multivariate Cluster Analysis to classify the different microclimates. Three main results were obtained: (1) comparison between microclimatic parameters measured during 2007-2008 and previous ones (2003) showed a general tendency o
Ricerche ecologiche e microclimatiche in relazione al cambio climatico nella Tenuta di Castelporziano / Testi, Annamaria; Guidotti, Silvia; S., Pignatti. - STAMPA. - 1(2013), pp. 151-176.
Ricerche ecologiche e microclimatiche in relazione al cambio climatico nella Tenuta di Castelporziano.
TESTI, Annamaria;GUIDOTTI, Silvia;
2013
Abstract
The aim of this study is to investigate the microclimates of the different plant communities in the Castelporziano Estate to identify changes at short and medium time. Air temperature and humidity, soil temperature and PAR (Photosynthetic Active Radiation) were monthly monitored. Measurements were taken in 21 stations, 6 of which along a transect in the vegetation of the dunes and the other 15 stations in forest associations. The dataset have been processed using different statistical treatments: (1) analysis of variance to evaluate the homeostatic capacity of the different communities; (2) analysis of microclimatic deviations values from mesoclimatic data, represented by Castelporziano Estate meteo-climatic stations, to detect microclimatic differences; (3) Multivariate Cluster Analysis to classify the different microclimates. Three main results were obtained: (1) comparison between microclimatic parameters measured during 2007-2008 and previous ones (2003) showed a general tendency oI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.