G. Mezösi, B.C. Meyer, W. Loibl, C Aubrecht, P. Csorba, T. Bata:
"Assessment of regional climate change impacts on Hungarian landscapes";
Regional Environmental Change, 13 (2013), 4; S. 797 - 811.

The assessment of regional climate change
impacts combined with the sensitivity of landscape functions
by predictive modelling of hazardous landscape
processes is a new fundamental field of research. In particular,
this study investigates the effects of changing
weather extremes on meso-regional-scale landscape vulnerability.
Climatic-exposure parameter analysis was performed
on a predicted climate change scenario. The
exposure to climate change was analysed on the basis of
the original data of the meso-scale IPCC A1B climate scenario from the REMO and ALADIN regional models
for the periods of 2021-2050 and 2071-2100, and the
regional types of climate change impacts were calculated
by using cluster analysis. Selected climate exposure
parameters of the REMO and ALADIN models were
analysed, in particular, for extreme events (days with precipitation
greater than 30 mm, heat waves, dry periods, wet
periods) and for daily temperature and precipitation. The
landscape functions impacted by climate change are
proxies for the main recent and future problematic processes
in Hungary. Soil erosion caused by water, drought,
soil erosion caused by wind, mass movement and flash
floods were analysed for the time periods of 1961-1990,
2021-2050 and 2071-2100. Based on the sensitivity
thresholds for the impact assessments, the landscape
functional sensitivity indicators were interpreted, and an
integrative summary of the five indicators was made, differentiating
the regions facing only a few or multiple
sensitivities. In Central Hungary, the increasing exposure
and sensitivity to droughts will be a serious problem when
following the REMO scenario. In several regions, most
indicators will change the sensitivity threshold from a
tolerable risk to an increased or very high risk.

Climate change Sensitivity of landscape

"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)

Erstellt aus der Publikationsdatenbank des AIT Austrian Institute of Technology.