PurposeThe purpose of this paper is to investigate the importance of peri‐urban forests to the process of urban growth. The article aims at providing a brief description of peri‐urban forests' contribution to the improvement of people's prosperity in urban centres by means of reducing the negative effects due to urbanisation and improving the standard of living. Design/methodology/approach – The article adopts a descriptive approach and not a specific methodology. It focuses on providing a general review about the usefulness of peri‐urban forests in relation to urban development. In addition, there are presented figures about the number of peri‐urban forests in Greece as well as forest management issues. Findings – The environmental importance of peri‐urban forests is highlighted as well as their contribution to the reduction of soil erosion and the protection of inhabited areas. It also presents their importance to social growth and to the change in land prices in areas adjacent to peri‐urban forests. Practical implications – The appointment of the usefulness of peri‐urban forests for the improvement of the standard of living in urban regions can influence peri‐urban forests' preservation and protection perspectives. Originality/value – This paper provides a general review of the points of view concerning the importance of peri‐urban forests for urban development and the difficulties in managing and protecting them related to administrative and institutional issues in Greece.
Forest ecosystems are our priceless natural resource and are a key component of the global carbon budget. Forest fires can be a hazard to the viability and sustainable management of forests with consequences for natural and cultural environments, economies, and the life quality of local and regional populations. Thus, the selection of strategies to manage forest fires, while considering both functional and economic efficiency, is of primary importance. The use of decision support systems (DSSs) by managers of forest fires has rapidly increased. This has strengthened capacity to prevent and suppress forest fires while protecting human lives and property. DSSs are a tool that can benefit incident management and decision making and policy, especially for emergencies such as natural disasters. In this study we reviewed state-of-the-art DSSs that use: database management systems and mathematical/ economic algorithms for spatial optimization of firefighting forces; forest fire simulators and satellite technology for immediate detection and prediction of evolution of forest fires; GIS platforms that incorporate several tools to manipulate, process and analyze geographic data and develop strategic and operational plans.
Forest fires are a natural phenomenon which might have severe implications on natural and anthropogenic ecosystems. Future projections predict that, under a climate change environment, the fire season would be lengthier with higher levels of droughts, leading to higher fire severity. The main aim of this paper is to perform a spatiotemporal analysis and explore the variability of fire hazard in a small Greek island, Skiathos (a prototype case of fragile environment) where the land uses mixture is very high. First, a comparative assessment of two robust modeling techniques was examined, namely, the Analytical Hierarchy Process (AHP) knowledge-based and the fuzzy logic AHP to estimate the fire hazard in a timeframe of 20 years (1996–2016). The former technique was proven more representative after the comparative assessment with the real fire perimeters recorded on the island (1984–2016). Next, we explored the spatiotemporal dynamics of fire hazard, highlighting the risk changes in space and time through the individual and collective contribution of the most significant factors (topography, vegetation features, anthropogenic influence). The fire hazard changes were not dramatic, however, some changes have been observed in the southwestern and northern part of the island. The geostatistical analysis revealed a significant clustering process of high-risk values in the southwestern and northern part of the study area, whereas some clusters of low-risk values have been located in the northern territory. The degree of spatial autocorrelation tends to be greater for 1996 rather than for 2016, indicating the potential higher transmission of fires at the most susceptible regions in the past. The knowledge of long-term fire hazard dynamics, based on multiple types of remotely sensed data, may provide the fire and land managers with valuable fire prevention and land use planning tools.
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