First approach to the relationship between recent landscape changes and temperature trends in Spanish mainland
Abstract
Data di Pubblicazione:
2016
Abstract:
The recent analyses of monthly and seasonal Spanish mainland temperatures (1951-2010) at high spatial resolution
using the MOTEDAS dataset shown that the monthly mean temperature values of maximum (Tmax) have
risen mostly in late winter/early spring and the summer months, while the monthly mean temperature of minimum
(Tmin) values have increased in summer, spring and autumn in southern areas. Consequently, a north-south gradient
in diurnal temperature range (DTR) has been detected in summer months, with positive trends in the north and
negative trends in the south, and negative pattern was found in the southeast in spring and autumn.
During the same period, the Spanish mainland has suffered dramatic changes in the landscape related to urban
and industrial sprawl, transportation infrastructures development, or the extension of irrigated areas for intensive
agriculture. Those changes would be consistent with factors that affect Tmin, which are conditioned by the nature
of the surfaces.
In this research, we present the first approach to the relationship of temperature trend and landscapes changes at
high spatial resolution in the Spanish mainland. Thus, we have compared the spatial distribution of temperature
trend with changes in accessibility index and population potential simultaneously, and its spatial redistribution as
indicator of landscape changes. The significance of temperature trends was evaluated by Mann-Kendal test, and its
intensity by Sen0s estimator. A mix model of population potential and accessibility index weighted by route factor
has been used to assess landscape changes. Crosstab analysis was applied to identify the association between
temperature trends and accessibility changes.
Tipologia CRIS:
01.05 Abstract in rivista
Keywords:
climate change; temperature; land use; Spain
Elenco autori:
Brunetti, Michele
Link alla scheda completa:
Pubblicato in: