| 1 | Mapping the risk of winter storm damage using GIS-based fuzzy logic显示文摘Abiotic and biotic factors that cause damage to forest trees also threaten the sustainability of forest resources.Although winter storms can be one of the most damaging forces,very few studies have focused on winter storm damage in Turkey.To prevent or minimize storm damage,we must evaluate the factors that influence the degree of damage and develop storm risk maps for the forested areas.Here,a GIS-based mathematical model(fuzzy logic)was used to develop such a risk map by considering risk factors such as tree species,tree age,crown density,site quality,topographical features(elevation,slope,aspect),climatic variables(wind,precipitation),and soil depth.The Alabarda Forest Enterprise Chief within the borders of Tavs?anl?Forest Enterprise Directorate was selected as the study area due to high occurrence of storm damage in the region during winter 2015–2016.For model verification,the risk map of storm damage was compared to the actual areal distribution of storm damage reported by the Enterprise Directorate.The model based on fuzzy logic indicated that slightly more than half of the study area(52.49%)was under very low storm damage risk,28.12%was under low risk and 19.19%was classified as high risk.A very small portion of the total study area was classified as very high risk.These results indicated a close relation with the storm damage map generated using Tavsanl?FED records.The results revealed that the most effective risk predictors for overall storm damage risk were wind direction and speed,followed by slope and site quality factors. | Abdullah E.Akay Inanc Tas | 2020 | Journal of Forestry Research2020，31，3： | 0 |
| 2 | Methods for the use of the best Russian innovations in forest fire detection and suppression显示文摘This paper addresses the final stage of the study concerning the practical use of the best Russian methods,technologies and means for detecting and extinguishing forest fires in Russia.In general,the work is aimed at increasing the effectiveness of the forest fire protection system by improving the methodological and technical support for the use of the best new innovations.In the course of the study,analytical methods have been applied,tested and used in silviculture,while developing and improving the regulatory legal and methodological frameworks.Based on the selection of research directions in the preliminary stages of work,analysis of the current state,use,and the development forecast of the most effective and promising technologies was carried out.In addition,for detecting,controlling and extinguishing forest fires,including a comparative analysis of their economic efficiency,methods for practical use of the best Russian innovations was developed.A significant number of new developments have accumulated which,for a number of reasons,have not been implemented.Taking into account the current state and dynamics of these promising methods,technologies,means of detecting and extinguishing forest fires,this study substantiates the development forecast of these promising innovations and their content.Its structure includes general provisions,concepts and terminology,regulatory support,the procedure for assessing the feasibility and effectiveness of the innovations,as well as a list of recommended documents for studying the use of technology for detecting,controlling and extinguishing forest fires.These methods will help meet modern requirements for the protection of forests from wildfires,and present an algorithm for their implementation in practice. | Alexander A.Martynyuk Vera A.Savchenkova Nikolay A.Korshunov Roman V.Kotelnikov | 2021 | Journal of Forestry Research2021，32，6： | 0 |
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