Relationship between economic development, forest resources, and forest fires: European context

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Conservation of forest resources is a prerequisite for sustainable development of human society, both in the context of preventing negative climate change and for economic growth. The study aims to establish or refute the co-dependence between the level of forest cover in European countries and the production of gross domestic product. The study object is the socio-economic systems of the national economies of European countries in relation to the totality of forest resources of the continent. Studying the dynamics of forest cover indicators (the share of forests in the total area of the country and forest area per capita), weighted within the internationally recognized regions of Europe, it is confirmed that the level of forest cover of European countries is gradually increasing. The analysis of forest fire area maps identifies three main groups by the level of vulnerability to forest fires: safe (Northern European countries), conditionally safe (Western European countries), and dangerous (Eastern and Southern European countries).
Denmark, Finland, France, Norway, and Finland show a direct correlation between the level of forest cover of a country’s territory and gross domestic product. The results of cluster analyses based on the data from 2000, 2010, 2015, and 2020 confirm the existence of a stable cluster of European countries (34 countries) in which there is one type of relationship between the production of gross domestic product and the level of forest cover of the territory.

Acknowledgment
This study was funded by the grant support from the Philipp Schwarz Initiative of the Alexander von Humboldt Foundation.

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    • Figure 1. Sequence of research
    • Figure 2. Dynamics of the level of forest cover of European regions according to the share of forests in the total land area of the country (), %
    • Figure 3. Evolution of forest cover in European regions in terms of forest area per 1 person (SFi), hectare (ha)
    • Figure 4. Training and classification of CNNs in forest fire detection
    • Figure 5. Map of areas covered by forest fires in forest damage assessment
    • Table 1. Trends in the level of forest cover in European regions
    • Table 2. Formal description of the relationship between forest cover and gross domestic product per capita (in international comparable prices 2010, USD) for selected European countries
    • Table 3. Proportion of forest area damaged by fire in European region, % of total forest area
    • Conceptualization
      Olena Dobrovolska, Knut Schmidtke, Viktoriia Hnatushenko, Svitlana Sytnyk, Iryna Dmytriieva
    • Data curation
      Olena Dobrovolska, Viktoriia Hnatushenko, Svitlana Sytnyk
    • Formal Analysis
      Olena Dobrovolska, Knut Schmidtke, Viktoriia Hnatushenko
    • Funding acquisition
      Olena Dobrovolska, Viktoriia Hnatushenko, Iryna Dmytriieva
    • Investigation
      Olena Dobrovolska, Knut Schmidtke, Svitlana Sytnyk
    • Methodology
      Olena Dobrovolska, Viktoriia Hnatushenko
    • Project administration
      Olena Dobrovolska, Viktoriia Hnatushenko, Svitlana Sytnyk
    • Resources
      Olena Dobrovolska, Knut Schmidtke, Svitlana Sytnyk
    • Software
      Olena Dobrovolska, Viktoriia Hnatushenko, Iryna Dmytriieva
    • Supervision
      Olena Dobrovolska, Knut Schmidtke, Viktoriia Hnatushenko
    • Validation
      Olena Dobrovolska, Knut Schmidtke, Iryna Dmytriieva
    • Visualization
      Olena Dobrovolska, Knut Schmidtke, Viktoriia Hnatushenko
    • Writing – original draft
      Olena Dobrovolska, Knut Schmidtke, Viktoriia Hnatushenko, Svitlana Sytnyk, Iryna Dmytriieva
    • Writing – review & editing
      Olena Dobrovolska, Knut Schmidtke, Viktoriia Hnatushenko, Svitlana Sytnyk, Iryna Dmytriieva