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Figure 9.
The occurrence of forest fires in the belts depending on the forest fire hazard category of the forest districts
| Forest fire hazard category | Share of fires in fire breaks (%) | Share of the number of forest districts according to FFHC (%) | Share of the number of fires in fire breaks by FFHC | |
|---|---|---|---|---|
| on fire lanes (%) | all fires (%) | |||
| I | 9.3 | 29 | 52.18 | 54.73 |
| II | 10.6 | 42 | 38.77 | 35.69 |
| III | 9.2 | 29 | 9.05 | 9.58 |
Results of the p-statistics for the comparison of the share of costs for the construction of lanes and the cleaning of areas along public roads in the total costs of fire protection in relation to the grouping variable of the forest fire hazard category
| Dependent variable: share of costs | p-Value for multiple comparisons (bilateral); cost share | ||
|---|---|---|---|
| I | II | III | |
| I | 0.075019 | 0.198098 | |
| II | 0.075019 | 1.000000 | |
| III | 0.198098 | 1.000000 | |
Average cost of establishing new and maintaining existing fire breaks and clearing areas near public roads in relation to the forest area of forest districts depending on the forest fire hazard category
| Forest fire hazard category of the forest district | Average cost of belts (PLN/ha) | Average cost of belts and tidying up (PLN/ha) | Average share of fire protection costs (%) |
|---|---|---|---|
| I | 2,525 | 11,280 | 5.86 |
| II | 2,617 | 11,069 | 8.11 |
| III | 1,039 | 6,177 | 16.54 |
Average annual costs of creating new and maintaining existing fire breaks and cleaning up the area in the period 2018–2022 according to the Regional Directorates of State Forests
| Regional Directorate of State Forests | Cost (PLN) | Contribution to forest fire protection costs (%) | |||
|---|---|---|---|---|---|
| installing new belts | maintaining existing lanes | tidying up the area along public roads | installing and maintaining seat belts | establishing and maintaining lanes and tidying up the area | |
| Białystok | 2,744 | 97,320 | 553,180 | 1.88 | 12.29 |
| Gdańsk | 9,605 | 73,115 | 329,213 | 3.13 | 15.60 |
| Katowice | 28,297 | 138,858 | 562,021 | 1.51 | 6.57 |
| Kraków | 0 | 9,636 | 143,554 | 1.56 | 24.74 |
| Krosno | 312 | 29,561 | 83,584 | 2.05 | 7.80 |
| Lublin | 778 | 47,257 | 248,211 | 1.36 | 8.36 |
| Łódź | 1,726 | 41,124 | 296,521 | 1.42 | 11.24 |
| Olsztyn | 7,758 | 70,038 | 308,271 | 1.44 | 7.15 |
| Piła | 714 | 223,193 | 324,387 | 3.33 | 8.15 |
| Poznań | 5,565 | 54,216 | 142,806 | 1.27 | 4.30 |
| Radom | 80 | 12,767 | 184,550 | 0.26 | 3.99 |
| Szczecin | 1,563 | 123,723 | 351,954 | 0.94 | 3.58 |
| Szczecinek | 4,779 | 169,290 | 373,115 | 2.10 | 6.61 |
| Toruń | 9,834 | 248,115 | 784,254 | 3.03 | 12.23 |
| Warszawa | 937 | 15,032 | 302,921 | 0.35 | 6.97 |
| Wrocław | 1,355 | 75,215 | 99,195 | 1.09 | 2.51 |
| Zielona Góra | 1,400 | 72,824 | 501,119 | 0.68 | 5.24 |
| Country | 77,446 | 1,501,285 | 5,588,855 | 1.55 | 7.02 |