Additional files [RJEE Vol. 6 (1). 2021 – 2]

• Fig. 1. The distance of points in space from watercourses, obtained using the Euclidean distance tool
• Fig. 2. Suitability of bioclimatic conditions for the growth of Paspalum dilatatum Poir (AUC 0.881). The greatest contribution to the construction of the model is made by factors: BIO1 – 24,4 % (permutation coefficient 9.8 %), BIO11 – 41.2 % (permutation coefficient 26.9 %)
• Fig. 3. Suitability of bioclimatic conditions for the growth of Ligustrum lucidum W. T. Aiton (AUC 0.954). The factors that make the largest contribution to the construction of the model are: BIO1 – 17,5 % (permutation coefficient 3,8 %), BIO11 – 17,0 % (permutation coefficient 24,6 %), BIO14 – 18,8 % (permutation coefficient 5,2 %)
• Fig. 4. Suitability of bioclimatic conditions for the growth of Ailanthus altissima (Mill.) Swingle (AUC 0.847). The following factors make the largest contribution to the construction of the model: BIO1 – 28,5 % (permutation coefficient 20,7 %), BIO11 – 13.2 % (permutation coefficient – 5,8 %), BIO19 – 22,1 % (permutation coefficient 18,2 %)
• Fig. 5. Suitability of bioclimatic conditions for the growth of Phytolacca americana L. (AUC 0.935). The factors that make the greatest contribution to the construction of the model are: BIO1 – 36,2 % (permutation coefficient 12,7 %), BIO19 – 14,7 % (permutation coefficient 8,5 %)
• Fig. 6. Suitability of bioclimatic conditions for the growth of Buddleja davidii Franch. (AUC 0.837). The following factors make the largest contribution to the construction of the model: BIO1 – 16,4 % (permutation coefficient 19,3 %), BIO11 – 20,1 % (permutation coefficient – 27,3 %), BIO14 – 17,8 % (permutation coefficient 0,4 %), BIO19 – 21,3 % (coefficient permutation 11,4 %)
• Fig. 7. Suitability of bioclimatic conditions for the growth of Hemerocallis fulva L. (AUC 0.954). The factors that make the greatest contribution to the construction of the model are: BIO1 – 25,1 % (permutation coefficient 9,1 %), BIO14 – 31,2 % (permutation coefficient 2,1 %)
• Fig. 8. Suitability of bioclimatic conditions for the growth of Microstegium vimineum (Trin.) A. Camus (AUC 0.990). The greatest contribution to the construction of the model is made by the factors: BIO18 – 23,7 % (permutation coefficient 3,5 %), BIO14 – 18.9 % (permutation coefficient 1,8 %)
• Fig. 9. Suitability of bioclimatic conditions for the growth of Physalis philadelphica Lam (AUC 0.9324). The greatest contribution to the construction of the model is made by the factor BIO6 – 33,5 % (permutation coefficient 0,3 %)
• Fig. 10. The vulnerability of Sochi ecosystems to invasions of alien species
• Fig. 11 a. Zoning of the territory of Greater Sochi (a) and Sochi National Park (b) according to the degree of invasive danger: 1 – extremely low level; 2 – low level; 3 – medium level; 4 – high; 5 – very high level
• Fig. 11 b. Zoning of the territory of Greater Sochi (a) and Sochi National Park (b) according to the degree of invasive danger: 1 – extremely low level; 2 – low level; 3 – medium level; 4 – high; 5 – very high level