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International Forestry Review
Article . 2019 . Peer-reviewed
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Non-native tree species: strategies for sustainable management in Europe

Authors: Keča, Ljiljana; Marčeta, Milica; Božić, Gregor; Perić, S.; Tsvetkov, Ivaylo; Andreassen, K.; Stijović, A.; +3 Authors

Non-native tree species: strategies for sustainable management in Europe

Abstract

The prospects and challenges for non-native tree species (NNTS) in Southeast Europe (SEE) were analyzed using a combination of SWOT Analysis and the Analytic Hierarchy Process (AHP). Preference data from three groups of opinion leaders with extensive knowledge of the silviculture, ecology and impact of climate change on NNTS in SEE (researchers, practitioners and decision-makers) were used. Results revealed that strengths and opportunities for all three analyzed elements outweigh their weaknesses and threats. In the review of silviculture, key strengths and opportunities were identified as high p roductivity, adaptation to afforestation of degraded lands, gap filling in forest ecosystems after the loss of native tree species, and higher volume growth of NNTS compared to native tree species. Strength-Opportunity (SO) elements related to climate change were found to be adaptive management responsiveness to climate change and increased length of growing period, possibility of better-adapted mixtures with NNTS under climate change, and replacement of tree species that are sensitive to pests and outbreaks resulting from climate change. These results provide important insights into different segments of strategy approach of sustainable management of NNTS in relation to management, silviculture and climate change practices in SEE.

Countries
Croatia, Croatia, Serbia
Keywords

silviculture, SWOT, Southeast Europe, Prospects and challenges of non native tree species, strenghts, opportunities, threaths., climate change, non-native tree species, ecology

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average