Abstract

A new approach to modeling spatiotemporal dynamics in forest-steppe ecosystems amid climate change is proposed. This approach involves a morphometric analysis of the digital elevation model (SRTM). The resultant forecast is based on an analysis of the geological–geomorphological framework and takes into account the functional significance of specific relief forms and types and their impacts on the static and dynamic properties of ecosystems. Plain areas are most resistant to climatic changes, while areas with lacustrine relief are most vulnerable both under humidization and aridization conditions. Predictive mapping based on GIS and remote sensing (RS) data confirms the hypothesis of the focal–discrete nature of spatial changes observed in the forest-steppe zone of Western Siberia amid different climatic trends.

中文翻译：

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多方向气候湿润趋势下亚干旱生态系统时空动态的预测映射

摘要

提出了一种模拟气候变化下森林草原生态系统时空动态的新方法。这种方法涉及数字高程模型（SRTM）的形态计量学分析。结果预测是基于对地质地貌框架的分析，并考虑了特定救济形式和类型的功能重要性及其对生态系统静态和动态特性的影响。平原地区对气候变化的抵抗力最强，而湖相起伏的地区在加湿和干旱条件下最脆弱。基于GIS和遥感（RS）数据的预测性制图证实了这一假设，即西伯利亚西部森林草原地区在不同气候趋势下观察到的空间变化的震源离散特性。