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| DOI | 10.1007/s41207-024-00475-6 |
| Fire susceptibility modeling and mapping in Mediterranean forests of Turkey: a comprehensive study based on fuel, climatic, topographic, and anthropogenic factors | |
| Novo, Ana; Dutal, Hurem; Eskandari, Saeedeh | |
| 发表日期 | 2024 |
| ISSN | 2365-6433 |
| EISSN | 2365-7448 |
| 起始页码 | 9 |
| 结束页码 | 2 |
| 卷号 | 9期号:2 |
| 英文摘要 | Forest fires are considered to be among the most destructive factors in forest ecosystems around the world. In recent years, climate change and human activities have led to a notable increase in the occurrence and magnitude of forest fires in the Mediterranean region. In particular, the Mediterranean ecosystems of Turkey provide the proper conditions for fire ignition and propagation in natural areas. Thus, the prediction of future fires is essential to determine the high-susceptibility areas and establish preventive management actions. Therefore, this study aims to identify the fire susceptibility in the Kahramanmaras Regional Directorate of Forestry (RDF), which is a fire-prone area in Turkey. The methodology consists of combining the analytic hierarchy process (AHP) method, remote sensing (RS) data, and geographic information system (GIS) analysis. First, the fire susceptibility was divided into two components: anthropogenic fire susceptibility and natural fire susceptibility (fuel, climate, and topography factors). Data on different factors were obtained from different sources and were converted into maps. In addition, data on past fires in the study area were obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) hotspots. Secondly, the weights of the factors in the fire susceptibility were determined by the AHP method. Then, the susceptibility maps (anthropogenic and natural) were overlapped to obtain the fire susceptibility map. The results showed that, on the map, the very high and high classes of fire susceptibility cover 12.32% and 51.67% of the study area, respectively. In addition, the results indicated that 98% of the past fires have occurred in areas with high or very high susceptibility. The fire susceptibility map was evaluated by determining the area under the curve (AUC), which demonstrated a value of 0.858, indicating that the map shows high accuracy. The methodology developed in this research provides a baseline for the protective management of the forests in the study area. In addition, the fire susceptibility map is a valuable tool for forest managers to predict the occurrence of future fires in the Kahramanmaras RDF. |
| 英文关键词 | Forest fire; Susceptibility map; GIS; AHP; Turkey; Mediterranean Basin |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS类目 | Environmental Sciences |
| WOS记录号 | WOS:001194807700003 |
| 来源期刊 | EURO-MEDITERRANEAN JOURNAL FOR ENVIRONMENTAL INTEGRATION
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/305261 |
| 作者单位 | Universidade de Vigo; Kahramanmaras Sutcu Imam University |
| 推荐引用方式 GB/T 7714 | Novo, Ana,Dutal, Hurem,Eskandari, Saeedeh. Fire susceptibility modeling and mapping in Mediterranean forests of Turkey: a comprehensive study based on fuel, climatic, topographic, and anthropogenic factors[J],2024,9(2). |
| APA | Novo, Ana,Dutal, Hurem,&Eskandari, Saeedeh.(2024).Fire susceptibility modeling and mapping in Mediterranean forests of Turkey: a comprehensive study based on fuel, climatic, topographic, and anthropogenic factors.EURO-MEDITERRANEAN JOURNAL FOR ENVIRONMENTAL INTEGRATION,9(2). |
| MLA | Novo, Ana,et al."Fire susceptibility modeling and mapping in Mediterranean forests of Turkey: a comprehensive study based on fuel, climatic, topographic, and anthropogenic factors".EURO-MEDITERRANEAN JOURNAL FOR ENVIRONMENTAL INTEGRATION 9.2(2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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