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Participatory Scenario Development to Address Potential Impacts of Land Use Change: An Example from the Italian Alps

机译:应对土地利用变化潜在影响的参与式情景开发:以意大利阿尔卑斯山为例

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Changes to land use such as the removal of natural vegetation and expansion of urban areas can result in degradation of the landscape and an increase in hydrometeorological risk. This has led to higher interest by decision-makers and scientists in the future consequences of these drivers. Scenario development can be a useful tool for addressing the high uncertainty regarding modeling future land use changes. Scenarios are not exact forecasts, but images of plausible futures. When studying future land dynamics, emphasis should be given to areas experiencing high rates of socioeconomic change. We have focused on the eastern Italian Alps, which face increasing pressure from tourism development. Identified drivers of local land use change are mostly external and difficult to quantify. This area, characterized by a traditional Alpine landscape, is subject to high levels of hydro-meteorological risk, another reason to study potential future land use changes. We tested a scenario generation method based on existing decisions and assumptions about future tourism development. We aimed to develop a framework leading to plausible scenarios that can overcome data inaccessibility and address external drivers. We combined qualitative methods, such as stakeholder interviews and cognitive mapping, with geospatial methods, such as geographic information systems, geostatistics, and environmental modeling. We involved stakeholders from the beginning to support the steps of generating data, understanding the system of land use change, and developing a land use change model for scenario development. In this way, we generated spatio-temporal scenarios that can assist future spatial planning and improve preparedness for possible undesirable development.
机译:土地用途的变化,例如自然植被的去除和城市区域的扩张,可能导致景观退化和水文气象风险增加。这引起了决策者和科学家对这些驱动因素未来后果的更高兴趣。方案开发可能是解决建模未来土地利用变化的高度不确定性的有用工具。情景不是精确的预测,而是合理期货的图像。在研究未来的土地动力时,应重点关注社会经济变化率高的地区。我们关注的是意大利东部的阿尔卑斯山,该地区面临着来自旅游业发展的越来越大的压力。确定的当地土地利用变化的驱动力大部分是外部的,很难量化。该地区以传统的高山景观为特征,面临着高水平的水文气象风险,这是研究未来潜在土地利用变化的另一个原因。我们基于有关未来旅游业发展的现有决策和假设,测试了一种情景生成方法。我们旨在开发一种导致可能出现的情况的框架,该框架可以克服数据不可访问性并解决外部驱动程序。我们将定性方法(例如,利益相关者访谈和认知映射)与地理空间方法(例如,地理信息系统,地统计学和环境建模)相结合。我们从一开始就让利益相关者参与进来,以支持以下步骤:生成数据,了解土地使用变化的系统以及开发用于场景开发的土地使用变化模型。通过这种方式,我们生成了时空场景,可以帮助将来进行空间规划,并为可能的不良发展做好准备。

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