{"title":"Forest fires in a changing climate: risk assessment and management in Leiria national forest, Portugal","authors":"Kwadwo Yeboah Botah","doi":"10.53486/2537-6179.9-2.12","DOIUrl":null,"url":null,"abstract":"Forest ecosystems are vital for sustainable development and human well-being globally and in Europe. Sustainably managed forests are fundamental in combating natural disasters and providing multiple important goods and services for humans and the environment. However, with increasing climate change and its associated effects, forests have become severely and regularly prone to fires. This is seriously threatening forest protection, human safety, the economy, and biodiversity. In this context, understanding future forest fire risks, susceptibility, hazards, and fire prevention is essentially needed. This study thus examines the forest fire risks and hazards in Leiria National Forest (Mata Nacional de Leiria), Portugal using the 2017 forest fire as a benchmark. With the adoption of GIS and remote sensing techniques and data, vegetation type (NDMI), human factors (roads and settlement proximity), and terrain characteristics (slope and aspect) were assessed to map fire risk. Through multi-criteria analysis, these data were integrated to generate a forest fire risk index. Results demonstrate that about 46% of the study area is within high-risk and risky zones, 50% is considered moderate-risk fire zones and 3% is classified as low and risk-free zones. Sensitivity analysis indicated that high-risk areas are mostly low moisture coniferous fuel types while risk-free areas are high moisture deciduous fuel types. Further, it was established that the observed high-risk and risky zones are attributed mostly to proximity to settlements and roads and little topographical influence. The study thus suggests an increased future forest fire risk under the prevailing conditions and a hiking potential of increased burnt areas. We thus proposed effective proactive measures and adaptive management approaches to prevent and mitigate the devastating impacts of forest fires within the study location.","PeriodicalId":31870,"journal":{"name":"Eastern European Journal of Regional Studies","volume":"33 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eastern European Journal of Regional Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53486/2537-6179.9-2.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Forest ecosystems are vital for sustainable development and human well-being globally and in Europe. Sustainably managed forests are fundamental in combating natural disasters and providing multiple important goods and services for humans and the environment. However, with increasing climate change and its associated effects, forests have become severely and regularly prone to fires. This is seriously threatening forest protection, human safety, the economy, and biodiversity. In this context, understanding future forest fire risks, susceptibility, hazards, and fire prevention is essentially needed. This study thus examines the forest fire risks and hazards in Leiria National Forest (Mata Nacional de Leiria), Portugal using the 2017 forest fire as a benchmark. With the adoption of GIS and remote sensing techniques and data, vegetation type (NDMI), human factors (roads and settlement proximity), and terrain characteristics (slope and aspect) were assessed to map fire risk. Through multi-criteria analysis, these data were integrated to generate a forest fire risk index. Results demonstrate that about 46% of the study area is within high-risk and risky zones, 50% is considered moderate-risk fire zones and 3% is classified as low and risk-free zones. Sensitivity analysis indicated that high-risk areas are mostly low moisture coniferous fuel types while risk-free areas are high moisture deciduous fuel types. Further, it was established that the observed high-risk and risky zones are attributed mostly to proximity to settlements and roads and little topographical influence. The study thus suggests an increased future forest fire risk under the prevailing conditions and a hiking potential of increased burnt areas. We thus proposed effective proactive measures and adaptive management approaches to prevent and mitigate the devastating impacts of forest fires within the study location.
森林生态系统对全球和欧洲的可持续发展和人类福祉至关重要。可持续管理的森林是抵御自然灾害、为人类和环境提供多种重要产品和服务的基础。然而,随着气候变化及其相关影响的加剧,森林火灾变得严重且经常发生。这严重威胁着森林保护、人类安全、经济和生物多样性。在这种情况下,了解未来的森林火灾风险、易发性、危害和火灾预防就显得尤为必要。因此,本研究以 2017 年的森林火灾为基准,研究了葡萄牙莱里亚国家森林(Mata Nacional de Leiria)的森林火灾风险和危害。通过采用地理信息系统(GIS)和遥感技术及数据,对植被类型(NDMI)、人为因素(道路和居住区邻近程度)以及地形特征(坡度和坡向)进行评估,绘制火灾风险图。通过多标准分析,对这些数据进行整合,生成森林火灾风险指数。结果表明,约 46% 的研究区域属于高风险和危险区,50% 属于中度火灾风险区,3% 属于低风险和无风险区。敏感性分析表明,高风险区域主要是低水分针叶树燃料类型,而无风险区域则是高水分落叶树燃料类型。此外,研究还发现,观测到的高风险区和无风险区主要是由于靠近居民点和道路,地形影响很小。因此,这项研究表明,在目前的条件下,未来森林火灾的风险会增加,被烧毁的区域也有可能增加。因此,我们提出了有效的前瞻性措施和适应性管理方法,以预防和减轻研究地点森林火灾的破坏性影响。