Прогнозування постпірогенного відпаду в сосняках, пошкоджених літніми низовими пожежами, у Лівобережному Лісостепу України
Introduction Wildfires are the most dangerous destabilizing factor for forest ecosystems. Due to the increasing climate aridity, the risk remains high for the growth of forest fires frequency. Therefore, developing science-based forest practices to mitigate the ecological, economic and social losses...
Gespeichert in:
| Datum: | 2019 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | Ukrainisch |
| Veröffentlicht: |
Ukrainian Research Institute of Forestry and Forest Melioration named after G. M. Vysotsky (URIFFM)
2019
|
| Schlagworte: | |
| Online Zugang: | https://forestry-forestmelioration.org.ua/index.php/journal/article/view/243 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Назва журналу: | Forestry and Forest Melioration |
Institution
Forestry and Forest Melioration| _version_ | 1856543415390437376 |
|---|---|
| author | Sydorenko, S. H. Liubchych, A. M. |
| author_facet | Sydorenko, S. H. Liubchych, A. M. |
| author_sort | Sydorenko, S. H. |
| baseUrl_str | |
| collection | OJS |
| datestamp_date | 2020-05-20T14:17:20Z |
| description | Introduction
Wildfires are the most dangerous destabilizing factor for forest ecosystems. Due to the increasing climate aridity, the risk remains high for the growth of forest fires frequency. Therefore, developing science-based forest practices to mitigate the ecological, economic and social losses caused by forest fires is an urgent topic. More than 90% of the total forest fires occur in pine forests. The rapid health deterioration of damaged pine trees leads to significant economic losses due to the changes in their marketability and reduction in the wood technical quality. Therefore, timely diagnosis and accurate prediction of the tree mortality probability are vital tasks to reduce negative ecological and economic effects caused by forest fires.
Materials and Methods
The post-pyrogenic development of the stands was analysed on 11 sample plots laid out in the middle-aged pine forests within the Left-Bank Forest-Steppe during 2013–2017. The stands in the sample plots were of different ages, mensuration rates and had different damage intensity. The study was conducted within Kharkiv Region in the forests of the State Enterprises “Zhovtneve Forest Economy” and “Zmiyivske Forest Economy”. The condition of the damaged trees was determined according to the Sanitary Forests Regulations in Ukraine. Both the correlation and regression analyses, as well as ANOVA were done using generally accepted methods. Multiple regression analysis and logistic regression analysis (binary regressions) were used to construct predictive models of the individual tree mortality probability. The quality of logistic regressions was checked by the ROC analysis.
Results
The indicators describing visual manifestations of tree damage after surface fires and middle-aged Pinus sylvestris L. trees fire resistance have been improved and refined. It was found that with an increase of average bark char height, the number of dead trees in the studied tree groups also increases (r = 0.87, tf = 5.80, t0.01 = 3.17). It was determined that the fire resistance of trees increases with the natural degree of tree thickness in the pine stand (statistically significant correlation was found between the natural degree of thickness and the health condition of damaged trees: r = -0.54; p = 0.05). A prognostic mortality model to determine the probability of the mortality of individual trees damaged by surface summer fires has been developed. It includes the average height of bark char and natural degree of tree thickness (the forecast model accuracy is over 78%) as predictors.
Conclusions
The proposed tree mortality model should be used to classify the trees damaged by surface fires, in the shortest possible time after a forest fire, as trees that will die within one year after they would have been damaged. Using this approach in forestry management will minimize the losses caused by changes in the marketability of tree stands damaged by fires. It is advisable to use the proposed critical damage values when planning forest measures (sanitation felling planning) in pine forests damaged by surface fires.
2 Figs., 2 Tables, 9 Refs. |
| first_indexed | 2026-02-08T08:02:51Z |
| format | Article |
| id | oai:ojs2.forestry-forestmelioration.org.ua:article-243 |
| institution | Forestry and Forest Melioration |
| language | Ukrainian |
| last_indexed | 2026-02-08T08:02:51Z |
| publishDate | 2019 |
| publisher | Ukrainian Research Institute of Forestry and Forest Melioration named after G. M. Vysotsky (URIFFM) |
| record_format | ojs |
| spelling | oai:ojs2.forestry-forestmelioration.org.ua:article-2432020-05-20T14:17:20Z Postfire tree mortality modelling for pine stands damaged by summer surface fires in the Left-Bank Forest-Steppe of Ukraine Прогнозування постпірогенного відпаду в сосняках, пошкоджених літніми низовими пожежами, у Лівобережному Лісостепу України Sydorenko, S. H. Liubchych, A. M. summer surface fires, pines, postfire tree mortality model, fire resistance. стійкі низові пожежі, сосняки, прогностичні моделі, вогнестійкість. Introduction Wildfires are the most dangerous destabilizing factor for forest ecosystems. Due to the increasing climate aridity, the risk remains high for the growth of forest fires frequency. Therefore, developing science-based forest practices to mitigate the ecological, economic and social losses caused by forest fires is an urgent topic. More than 90% of the total forest fires occur in pine forests. The rapid health deterioration of damaged pine trees leads to significant economic losses due to the changes in their marketability and reduction in the wood technical quality. Therefore, timely diagnosis and accurate prediction of the tree mortality probability are vital tasks to reduce negative ecological and economic effects caused by forest fires. Materials and Methods The post-pyrogenic development of the stands was analysed on 11 sample plots laid out in the middle-aged pine forests within the Left-Bank Forest-Steppe during 2013–2017. The stands in the sample plots were of different ages, mensuration rates and had different damage intensity. The study was conducted within Kharkiv Region in the forests of the State Enterprises “Zhovtneve Forest Economy” and “Zmiyivske Forest Economy”. The condition of the damaged trees was determined according to the Sanitary Forests Regulations in Ukraine. Both the correlation and regression analyses, as well as ANOVA were done using generally accepted methods. Multiple regression analysis and logistic regression analysis (binary regressions) were used to construct predictive models of the individual tree mortality probability. The quality of logistic regressions was checked by the ROC analysis. Results The indicators describing visual manifestations of tree damage after surface fires and middle-aged Pinus sylvestris L. trees fire resistance have been improved and refined. It was found that with an increase of average bark char height, the number of dead trees in the studied tree groups also increases (r = 0.87, tf = 5.80, t0.01 = 3.17). It was determined that the fire resistance of trees increases with the natural degree of tree thickness in the pine stand (statistically significant correlation was found between the natural degree of thickness and the health condition of damaged trees: r = -0.54; p = 0.05). A prognostic mortality model to determine the probability of the mortality of individual trees damaged by surface summer fires has been developed. It includes the average height of bark char and natural degree of tree thickness (the forecast model accuracy is over 78%) as predictors. Conclusions The proposed tree mortality model should be used to classify the trees damaged by surface fires, in the shortest possible time after a forest fire, as trees that will die within one year after they would have been damaged. Using this approach in forestry management will minimize the losses caused by changes in the marketability of tree stands damaged by fires. It is advisable to use the proposed critical damage values when planning forest measures (sanitation felling planning) in pine forests damaged by surface fires. 2 Figs., 2 Tables, 9 Refs. Пожежі є одними із найнебезпечніших чинників дестабілізації лісів. У зв’язку зі зростанням посушливості клімату ризик збільшення частоти й масштабів лісових пожеж залишається високим, тому актуальним є розроблення науково обґрунтованих заходів із пом’якшення екологічних, економічних та соціальних наслідків лісових пожеж. Удосконалено та уточнено показники, що характеризують візуальні прояви пошкодження дерев після низових пожеж, та показники вогнестійкості середньовікових дерев сосни звичайної (Pinus sylvestris L.). Виявлено, що в міру збільшення середньої висоти нагару на стовбурах зростає частка відпаду в досліджуваних групах дерев (r = 0,87, tф = 5,80, t0,01 = 3,17). Встановлено, що вогнестійкість дерев збільшується зі збільшенням природного ступеня товщини дерева в насадженні (виявлено обернений достовірний кореляційний зв’язок між природним ступенем товщини (ПСТ) і категорією санітарного стану пошкоджених дерев: (r = -0,54; р = 0,05). Розроблено прогностичну модель для встановлення ймовірності відпаду дерев, пошкоджених низовими стійкими літніми пожежами, яка як предиктори включає середню висоту нагару на стовбурах та ПСТ (точність прогностичної моделі становить понад 78 %). Ukrainian Research Institute of Forestry and Forest Melioration named after G. M. Vysotsky (URIFFM) 2019-12-27 Article Article application/pdf https://forestry-forestmelioration.org.ua/index.php/journal/article/view/243 10.33220/1026-3365.135.2019.157 Forestry and Forest Melioration; No. 135 (2019): Forestry and Forest Melioration; 157-162 Лісівництво і Агролісомеліорація; № 135 (2019): Лісівництво і Агролісомеліорація; 157-162 2663-4147 1026-3365 10.33220/1026-3365.135.2019 uk https://forestry-forestmelioration.org.ua/index.php/journal/article/view/243/227 |
| spellingShingle | стійкі низові пожежі сосняки прогностичні моделі вогнестійкість. Sydorenko, S. H. Liubchych, A. M. Прогнозування постпірогенного відпаду в сосняках, пошкоджених літніми низовими пожежами, у Лівобережному Лісостепу України |
| title | Прогнозування постпірогенного відпаду в сосняках, пошкоджених літніми низовими пожежами, у Лівобережному Лісостепу України |
| title_alt | Postfire tree mortality modelling for pine stands damaged by summer surface fires in the Left-Bank Forest-Steppe of Ukraine |
| title_full | Прогнозування постпірогенного відпаду в сосняках, пошкоджених літніми низовими пожежами, у Лівобережному Лісостепу України |
| title_fullStr | Прогнозування постпірогенного відпаду в сосняках, пошкоджених літніми низовими пожежами, у Лівобережному Лісостепу України |
| title_full_unstemmed | Прогнозування постпірогенного відпаду в сосняках, пошкоджених літніми низовими пожежами, у Лівобережному Лісостепу України |
| title_short | Прогнозування постпірогенного відпаду в сосняках, пошкоджених літніми низовими пожежами, у Лівобережному Лісостепу України |
| title_sort | прогнозування постпірогенного відпаду в сосняках, пошкоджених літніми низовими пожежами, у лівобережному лісостепу україни |
| topic | стійкі низові пожежі сосняки прогностичні моделі вогнестійкість. |
| topic_facet | summer surface fires pines postfire tree mortality model fire resistance. стійкі низові пожежі сосняки прогностичні моделі вогнестійкість. |
| url | https://forestry-forestmelioration.org.ua/index.php/journal/article/view/243 |
| work_keys_str_mv | AT sydorenkosh postfiretreemortalitymodellingforpinestandsdamagedbysummersurfacefiresintheleftbankforeststeppeofukraine AT liubchycham postfiretreemortalitymodellingforpinestandsdamagedbysummersurfacefiresintheleftbankforeststeppeofukraine AT sydorenkosh prognozuvannâpostpírogennogovídpaduvsosnâkahpoškodženihlítníminizovimipožežamiulívoberežnomulísostepuukraíni AT liubchycham prognozuvannâpostpírogennogovídpaduvsosnâkahpoškodženihlítníminizovimipožežamiulívoberežnomulísostepuukraíni |