Assessment of regional climate change impacts on Hungarian landscapes

Mezősi, Gábor; Meyer, Burghard C.; Loibl, Wolfgang; Aubrecht, Christoph; Csorba, Péter; Bata, Teodóra

doi:10.1007/s10113-012-0326-1

Cited by 27 publications

(27 citation statements)

References 16 publications

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“…Regarding the high resolution and region-specific forecasted trends of climate change by moderately increasing mean temperature and constantly fluctuating sum of precipitation [67], and our results of climate response patterns, only a minor shifting in beech forests distribution could be predicted in the near future. Precipitation-related climate sensitivity predictors, especially the Precipitation seasonality and the Forestry Aridity index could be the most sensitive rainfall indicators.…”

Section: Discussionmentioning

confidence: 66%

Functional Response Trait Analysis Improves Climate Sensitivity Estimation in Beech Forests at a Trailing Edge

Salamon-Albert

Abaligeti

Ortmann‐Ajkai

2017

Forests

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Functional response traits influence the ability of species to colonize and thrive in a habitat and to persist under environmental challenges. Functional traits can be used to evaluate environment-related processes and phenomena. They also help to interpret distribution patterns, especially under limiting ecological conditions. In this study, we investigate landscape-scale functional distribution responses of beech forests in a climatic transitional zone in Europe. We construct empirical density distribution responses for beech forests by applying coping-resilience-failure climatic traits based on 27 bioclimatic variables, resulting in prevalence-decay-exclusion distribution response patterns. We also perform multivariate exploratory cluster analysis to reveal significant sets of response patterns from the resilience and adaptation aspects. Temperature-related distribution responses presented a prevalence-dominated functional pattern, with Annual mean temperature indicating the most favorable adaptation function. Precipitation indices showed climate-limited response patterns with the dominance of extinction function. Considering regional site-specific climate change projections, these continental beech forests could regress moderately due to temperature increase in the near future. Our results also suggest that both summer and winter precipitation could play a pivotal role in successful resilience. Functions and variables that indicate climate sensitivity can serve as a useful starting point to develop adaptation measures for regional forest management.

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Section: Discussionmentioning

confidence: 66%

Functional Response Trait Analysis Improves Climate Sensitivity Estimation in Beech Forests at a Trailing Edge

Salamon-Albert

Abaligeti

Ortmann‐Ajkai

2017

Forests

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“…Other studies are based on climate data time series and statistical analysis of changes between reference periods (e.g. 1961 to 1990), the actual status and scenario futures through 2100 by linking the results of regional climate change modelling and the biophysical modelling of landscape function, to understand ongoing and expected degradation problems (Rannow et al, 2010;Mezősi et al, 2013;Blanka et al, 2013).…”

Section: Landscape Systems and Landscape Degradationmentioning

confidence: 99%

“…Over the last century, the Carpathian Basin received at least 100 mm less annual average precipitation; therefore, aridification is one of the most important hazards in this area. The consequences are partly known and include a decreasing water supply causing changes in vegetation, reducing biological productivity, lowering the groundwater table, reducing agricultural productivity and leading to the occurrence of soil degradation (Mezősi et al, 2013). Literature analyses of the potential landscape degradation caused by aridification, with respect to ecological and social landscape functions, as well as provisioning, regulating, cultural and supporting ecosystem services, mostly concern solutions to local problems.…”

Section: Aridification In the Carpathian Basinmentioning

confidence: 99%

Landscape degradation at different spatial scales caused by aridification

Meyer

Mezősi

Kovács

2017

Moravian Geographical Reports

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“…Gradual (slow) and abrupt change should be explored to provide solutions for adaptation measures. Expert systems and investigations on multiple impacts can help to develop applicable knowledge in the mentioned field of practice as shown by the contributions of Mezösi et al (2012), Tao et al (2012), and Li et al (2012) in this issue.…”

Section: Assessment Of Climate Change Impactsmentioning

confidence: 99%