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Assessment and Valorization of Non-Wood Forest Products in Europe: A Quantitative Literature Review

doi: 10.3390/su13063533
handle: 2158/1238034
This article presents a quantitative review of non-wood forest products (NWFPs) at the regional scale in Europe. A text mining approach was applied to titles, abstracts, and keywords extracted from articles in the Scopus database. Different investigations, such as concept mapping and specificity analyses of textual corpus, were performed. Our search yielded a massive number of NWFP-related papers. Specifically, research was distributed in different countries, being more prevalent in the Mediterranean and Scandinavian contexts. Several NWFPs were analyzed, with mushrooms, resin, cork, and other forest fruit being the most common ones. Local socioeconomic improvement was one of the major aspects investigated in scientific literature. The proposed methodology applies specific scripts that can be updated, and the output of the present research can be compared with that of the future works. For instance, interest trends of products and methods can be investigated, and gap analyses performed. Finally, the potential implications of this review for researchers and stakeholders are discussed.
Environmental effects of industries and plants, literature review, forest ecosystem services, TJ807-830, text mining, TD194-195, Renewable energy sources, Europe, Environmental sciences, big data, GE1-350, Big data; Europe; Forest ecosystem services; Literature review; Text mining
Environmental effects of industries and plants, literature review, forest ecosystem services, TJ807-830, text mining, TD194-195, Renewable energy sources, Europe, Environmental sciences, big data, GE1-350, Big data; Europe; Forest ecosystem services; Literature review; Text mining
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).7 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
