Lado Kutnar and Andrej Kobler (2013) The current distribution of black locust (Robinia pseudoacacia L.) in Slovenia and predictions for the future. Acta Silvae et Ligni (102). pp. 21-30. ISSN 2335-3112
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Abstract
In this study, we analyse the growing stock of black locust (Robinia pseudoacacia L.) and its share in Slovenian forests. In addition, based on empirical model and climate change scenarios, we predict its distribution and share in the future. Black locust is the commonest non-native tree species in Slovenian forests. The current growing stock of black locust is near 0.6% of the total growing stock of our forests. This tree species has the highest share in forests of the Regional Unit of Murska Sobota and Regional Karst Area Unit (Sežana). Should the recent climate change scenarios, which all predict an increase in mean air temperature in the future, proved to be true, the share of the black locust’ growing stock will increase gradually in the eastern, north-eastern and south-western parts of Slovenia. Higher share of this species can be expected also in the lowlands and hilly area of central Slovenia. According to the forecasts of the model, the black locust’s growing stock could at least double in comparison with its present state by the end of the century. In such situation our forestry will be faced with even more difficulties associated with this invasive tree species. Through a more consistent implementation of the concepts of sustainability in forestry, the balance between this invasive alien species, which is less desirable in our forests, and its many benefits and interests of the forest owners needs to be found.
Item Type: | Article |
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Keywords: | non-native species, invasive species, growing stock, climate change, forecasts, model, Robinia pseudoacacia, Slovenia |
Link to COBISS: | http://www.cobiss.si/scripts/cobiss?command=SEARCH&base=COBIB&select=ID= 3783334 |
Divisions: | Slovenian Forestry Institute > Department of Forest Ecology Slovenian Forestry Institute > Department of Forest and Landscape Planning and Monitoring |
Item ID: | 121 |
Date Deposited: | 16 Jan 2014 13:50 |
Last Modified: | 30 May 2016 13:42 |
URI: | http://eprints.gozdis.si/id/eprint/121 |
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