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Design and implementation of a web-based decision support system for climate change impact assessment on forests

机译:基于网络的决策支持系统的设计和实现,用于气候变化对森林的影响评估

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Climate change has altered and further will change the environmental conditions for many sectors. Whereas annual cropping systems can be adapted yearly, decisions in forest management usually have long-lasting effects. Depending on the region and treespecies rotation periods range between 80 and 180 years in Central Europe. Therefore, todays tree species selection should also take into account the impacts of climate change in the future.Although many attempts have been made to understand single aspects of climate change impacts on forests, the available knowledge has to be conflated into an integrated assessment to support decision making. A comprehensive system comprising different impact models and an economic assessment suitable for Central European forests and driven by high-resolution temporal- and spatial data is currently missing.We present a conceptional design and a reference implementation of a Decision Support System (DSS) tailored to assess climate change impacts on German forests. To provide high ease-of-use, the system was implemented as a web application and offers information for single stands on-demand as well as interactive maps and preprocessed assessments on a coarser level for entire Germany. To create such a complex, integrated system from legacy models written in different programming languages the interfaces hadto be developed carefully. The key of this DSS is its building blocks: established models describing different climate change impacts. Since the DSS is a very modular system, it is easy to replace submodels and to adapt it to other study areas, forest systems or research questions if suitable parameterized models and input data are available. The presented technical solution is adaptable to other systems integrating existing models and the source code is available.
机译:气候变化已经改变,并将进一步改变许多部门的环境条件。年度种植系统可以每年进行调整,而森林经营决策通常具有长期影响。根据地区和树种的不同,中欧的轮伐期范围在80至180年之间。因此,当今的树种选择还应考虑到未来气候变化的影响。尽管已进行了许多尝试来了解气候变化对森林的影响的各个方面,但必须将现有知识整合为综合评估以支持做决定。目前缺少一个由不同的影响模型和经济评估组成的,适用于中欧森林并由高分辨率时空数据驱动的综合系统。我们提供了针对该系统的决策支持系统(DSS)的概念设计和参考实现评估气候变化对德国森林的影响。为了提供高度的易用性,该系统被实现为网络应用程序,并为整个德国的按需提供单站信息以及交互式地图和更粗略的预处理评估。为了从用不同编程语言编写的遗留模型创建如此复杂的集成系统,必须仔细开发接口。该DSS的关键是其构建模块:描述不同气候变化影响的既定模型。由于DSS是一个非常模块化的系统,因此,如果可以使用合适的参数化模型和输入数据,则可以轻松地替换子模型并将其适应其他研究领域,森林系统或研究问题。提出的技术解决方案适用于集成了现有模型的其他系统,并且源代码可用。

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