The sensitivity of Austrian forests to scenarios of climatic change: a large-scale risk assessment based on a modified gap model and forest inventory data

Lexer, Manfred J.; Hönninger, Karl; Scheifinger, Helfried; Matulla, Christoph; Groll, Nikolaus; Kromp-Kolb, Helga; Schadauer, Klemens; Starlinger, Franz; Englisch, Michael

doi:10.1016/s0378-1127(02)00050-6

Cited by 90 publications

(64 citation statements)

References 34 publications

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“…Eqs. 4, 5) in the evaluation period were aggregated for the simulation entities (i.e., ecoregions within provinces) from plot level data available for the full set of AFI plots (Lexer et al 2002). Table 1).…”

Section: Model Evaluationmentioning

confidence: 99%

Modelling bark beetle disturbances in a large scale forest scenario model to assess climate change impacts and evaluate adaptive management strategies

et al. 2008

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Section: Model Evaluationmentioning

confidence: 99%

Modelling bark beetle disturbances in a large scale forest scenario model to assess climate change impacts and evaluate adaptive management strategies

et al. 2008

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“…Long-term fluctuations of precipitation affect the composition of vegetation directly (Lexer et al, 2002). Hence, recording of past variations and simulation of future variations and changes of homogeneous precipitation regions are principal tasks of climate research.…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of spatial and seasonal variability: Austrian precipitation during the 20th century

Matulla

Penlap

Haas

et al. 2003

Intl Journal of Climatology

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The purpose of this investigation is to demonstrate the usability of objective methods to study the variability of precipitation and hence to contribute to a better understanding of spatial and seasonal variability of Austria's precipitation climate during the 20th century.This will be achieved by regionalizing the intra-annual variability of seasonal precipitation distributions during three non-overlapping 33 year samples (1901-33, 1934-66, 1967-99). Monthly precipitation totals were extracted at 31 Austrian stations from a homogenized long-term climate dataset provided by the Austrian weather service. Three statistical techniques, namely cluster analysis (CLA), rotated empirical orthogonal functions (REOFs) and an unsupervised learning procedure of artificial neural networks (ANNs), were utilized to find homogeneous precipitation regions.The results of summer (June, July, August (JJA)) and winter (December, January, February (DJF)) seasons are presented. The resulting homogeneous precipitation regions depend on season, period and method in this order. Hence, differences introduced by using different methods are small compared with those inferred by investigating different episodes and especially with those related to the seasons.During winter, three homogeneous precipitation regions are found, independent from the period considered. These regions can be assigned to different airflows dominating Austria's climate and triggering precipitation events during the cold season. The situation during summer is more complicated. Thus, at least four clusters are necessary to record the circumstances, which are caused by spatially inhomogeneous convective events such as thunderstorms.

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“…However, by the end of the century (2071 to 2100) in continental central and southern Europe, NPP of conifers is likely to decrease due to water limitations (Lasch et al, 2002;Lexer et al, 2002;Martínez-Vilalta and Piñol, 2002;Freeman et al, 2005;Körner et al, 2005) and higher temperatures (Pretzch and Dursky, 2002). Negative impacts of drought on deciduous forests are also likely (Broadmeadow et al, 2005).…”

Section: Forestsmentioning

confidence: 99%

A klímaváltozás emberi jogi aspektusai

Kondorosi¹

2013

JEL-KÉP

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The sensitivity of Austrian forests to scenarios of climatic change: a large-scale risk assessment based on a modified gap model and forest inventory data

Cited by 90 publications

References 34 publications

Modelling bark beetle disturbances in a large scale forest scenario model to assess climate change impacts and evaluate adaptive management strategies

Modelling bark beetle disturbances in a large scale forest scenario model to assess climate change impacts and evaluate adaptive management strategies

Comparative analysis of spatial and seasonal variability: Austrian precipitation during the 20th century

A klímaváltozás emberi jogi aspektusai

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