Improvement of fire danger rating and vegetation fire behaviour prediction on protected areas
Protected areas (PAs) are established to conserve biological diversity, to maintain nature complexes and objects in their natural condition. Strict nature reserves prevail in Russia by their total area. The whole nature complex is forever extracted from economic use in nature reserves. Here it is pr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2019-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/full_html/2019/05/bioconf_rpgrs2019_00040/bioconf_rpgrs2019_00040.html |
| _version_ | 1818968501051719680 |
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| author | Volokitina Aleksandra Nazimova Dina Sofronova Tatiana Korets Mikhail |
| author_facet | Volokitina Aleksandra Nazimova Dina Sofronova Tatiana Korets Mikhail |
| author_sort | Volokitina Aleksandra |
| collection | DOAJ |
| description | Protected areas (PAs) are established to conserve biological diversity, to maintain nature complexes and objects in their natural condition. Strict nature reserves prevail in Russia by their total area. The whole nature complex is forever extracted from economic use in nature reserves. Here it is prohibited to pursue any activity which might disturb or damage the nature complexes. Even under the existing strict protection from anthropogenic ignition sources, vegetation fires do occur on their territory. Besides, lightnings − these natural ignition sources − are impossible to exclude. Since large destructive fires are impermissible in nature reserves, the later especially need vegetation fire behavior prediction for fire management. Fire behavior prediction includes fire spread rate, development (from surface fire into crown or ground one) and fire effects. All this is necessary for taking optimal decisions on how to control each occurring fire and how to suppress it. The Sukachev Institute of Forest SB RAS has developed a method to improve forest fire danger rating and a technique of vegetation fire behavior prediction using vegetation fuel maps (VF maps). |
| first_indexed | 2024-12-20T14:05:41Z |
| format | Article |
| id | doaj.art-baacb5b4ab1142bf811381ad23447130 |
| institution | Directory Open Access Journal |
| issn | 2117-4458 |
| language | English |
| last_indexed | 2024-12-20T14:05:41Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj.art-baacb5b4ab1142bf811381ad234471302022-12-21T19:38:15ZengEDP SciencesBIO Web of Conferences2117-44582019-01-01160004010.1051/bioconf/20191600040bioconf_rpgrs2019_00040Improvement of fire danger rating and vegetation fire behaviour prediction on protected areasVolokitina AleksandraNazimova DinaSofronova TatianaKorets MikhailProtected areas (PAs) are established to conserve biological diversity, to maintain nature complexes and objects in their natural condition. Strict nature reserves prevail in Russia by their total area. The whole nature complex is forever extracted from economic use in nature reserves. Here it is prohibited to pursue any activity which might disturb or damage the nature complexes. Even under the existing strict protection from anthropogenic ignition sources, vegetation fires do occur on their territory. Besides, lightnings − these natural ignition sources − are impossible to exclude. Since large destructive fires are impermissible in nature reserves, the later especially need vegetation fire behavior prediction for fire management. Fire behavior prediction includes fire spread rate, development (from surface fire into crown or ground one) and fire effects. All this is necessary for taking optimal decisions on how to control each occurring fire and how to suppress it. The Sukachev Institute of Forest SB RAS has developed a method to improve forest fire danger rating and a technique of vegetation fire behavior prediction using vegetation fuel maps (VF maps).https://www.bio-conferences.org/articles/bioconf/full_html/2019/05/bioconf_rpgrs2019_00040/bioconf_rpgrs2019_00040.html |
| spellingShingle | Volokitina Aleksandra Nazimova Dina Sofronova Tatiana Korets Mikhail Improvement of fire danger rating and vegetation fire behaviour prediction on protected areas BIO Web of Conferences |
| title | Improvement of fire danger rating and vegetation fire behaviour prediction on protected areas |
| title_full | Improvement of fire danger rating and vegetation fire behaviour prediction on protected areas |
| title_fullStr | Improvement of fire danger rating and vegetation fire behaviour prediction on protected areas |
| title_full_unstemmed | Improvement of fire danger rating and vegetation fire behaviour prediction on protected areas |
| title_short | Improvement of fire danger rating and vegetation fire behaviour prediction on protected areas |
| title_sort | improvement of fire danger rating and vegetation fire behaviour prediction on protected areas |
| url | https://www.bio-conferences.org/articles/bioconf/full_html/2019/05/bioconf_rpgrs2019_00040/bioconf_rpgrs2019_00040.html |
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