Abstract:Climate change highly impacts on tree growth and also threatens the forest of the karstic terrains. From the 1980s the frequency of decay events of the Pinus nigra Arnold forests showed a marked increase in Hungary. To understanding the vulnerability of Pinus nigra forests to climate change on shallow karstic soils in continental-sub Mediterranean climatic conditions we developed the study of three sampled population in the typical karstic landscape of Veszprém in North Transdanubia. We built our model on non-… Show more
“…Model results showed that the rising decay frequency of Pinus nigra individuals in the last decades was a parallel change to the decreasing growth rate of pines due to the increasing aridity trend in the Veszprém karst plateau (Trájer et al 2015). As drought inhibits growth (Chiatante et al, 2006;Kramer and Turner 1980), in this paper, we investigate the effect of the sub-regional drought trends and the foreseen change of precipitation and temperature on the stem growth of young individuals of Fraxinus ornus and its two most important competitors: Pinus nigra and Ailanthus altissima.…”
Abstract. Growth patterns of different plant species are primarily determined by edaphic factors, climate conditions and their species-specific adaptation properties. Changing sub-regional aridity trends due to the projected climate change like soil erosion and the invasion of alien plant species threaten the ligneous vegetation of karst areas. We aimed to study and model the potential effect of aridity on the growth rate of young individuals of the native Fraxinus ornus and its two important competitors, the exotic Pinus nigra and the aggressive invader Ailanthus altissima in a karstic forest-steppe of the Veszprém plateau, Hungary on different soil depths. Mean soil depth and the Thornthwaite agrometeorological index were used as covariates. Climate data were gained from the E-OBS gridded dataset for the period of 1950 to 2013 and from the MPI Echam5 climate model for the period of 2081 to 2100. We found significant correlation between the soil depth values and the measured heights and the average of monthly Thornthwaite agrometeorological indices. In conclusion, aridity and soil-depth have significant, but different effect on the growth patterns of the studied species. While the annual growth season of Pinus nigra and Fraxinus ornus are determined by the aridity of the months of January to May, and from February to June, respectively, the growth of Ailanthus altissima is mainly determined by the period of March to August. The climate prediction-based growth model predicts the decline of the growth patterns of each species for the 2081-2100 period in Hungary due to climate change.
“…Model results showed that the rising decay frequency of Pinus nigra individuals in the last decades was a parallel change to the decreasing growth rate of pines due to the increasing aridity trend in the Veszprém karst plateau (Trájer et al 2015). As drought inhibits growth (Chiatante et al, 2006;Kramer and Turner 1980), in this paper, we investigate the effect of the sub-regional drought trends and the foreseen change of precipitation and temperature on the stem growth of young individuals of Fraxinus ornus and its two most important competitors: Pinus nigra and Ailanthus altissima.…”
Abstract. Growth patterns of different plant species are primarily determined by edaphic factors, climate conditions and their species-specific adaptation properties. Changing sub-regional aridity trends due to the projected climate change like soil erosion and the invasion of alien plant species threaten the ligneous vegetation of karst areas. We aimed to study and model the potential effect of aridity on the growth rate of young individuals of the native Fraxinus ornus and its two important competitors, the exotic Pinus nigra and the aggressive invader Ailanthus altissima in a karstic forest-steppe of the Veszprém plateau, Hungary on different soil depths. Mean soil depth and the Thornthwaite agrometeorological index were used as covariates. Climate data were gained from the E-OBS gridded dataset for the period of 1950 to 2013 and from the MPI Echam5 climate model for the period of 2081 to 2100. We found significant correlation between the soil depth values and the measured heights and the average of monthly Thornthwaite agrometeorological indices. In conclusion, aridity and soil-depth have significant, but different effect on the growth patterns of the studied species. While the annual growth season of Pinus nigra and Fraxinus ornus are determined by the aridity of the months of January to May, and from February to June, respectively, the growth of Ailanthus altissima is mainly determined by the period of March to August. The climate prediction-based growth model predicts the decline of the growth patterns of each species for the 2081-2100 period in Hungary due to climate change.
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