Sinking Coasts: Geosphere, Ecosphere and Anthroposphere of the Holocene Southern Baltic Sea

SINCOS的总体目标是开发无潮海下沉海岸的地理系统、生态系统、气候和社会经济系统之间关系的模型，作为自亚特兰蒂斯以来波罗的海南部的一个例子。地球科学家（地质学家、地貌学家、测地学家）、生物学家（古植物学家、古动物学家）、气候研究人员和考古学家将合作调查海侵海沿海地区驱动力（气候和地质过程）与自然和社会环境反应之间的因果关系。在Darss岩床构造的西部和东部的Litorina海侵的重建起着中心作用。SINCOS的七个项目将处理代理数据的获取和解释，以重建自公元前8000年以来波罗的海西南部的历史。在两个项目的框架内，将对数据进行整合，并将开发反映待研究的不同领域相互关系过程的模型。根据可测量变量和定性观测之间量化程度的不同，统计数据探索和确定性微分方程之间的模型将有所不同。4D GIS在建模和数据集成方面发挥着核心作用。结果将作为时间依赖的地理，生态和社会经济参数的区域化。计划根据所开发的模型对未来相对海平面变化情景进行模拟。

The general target of SINCOS is the development of a model of the relation between geo-system, eco-system, climate and socioeconomic system for sinking coasts of tideless seas to be developed as an example for the southern Baltic Sea since the Atlantikum. Geoscientists (geologists, geomorphologists, geodesists), biologists (palaeobotanists, palaezoologists), climate researchers and archaeologists will collaborate in order to investigate the cause and effect relation between driving forces (climatic and geological processes) and the response of the natural and social environment in the coastal areas of a transgressive sea. The reconstruction of the Litorina transgression west and east of the Darss sill structure plays the central role. Seven projects under the roof of SINCOS will deal with the acqusition and interpretation of proxy-data in order to reconstruct the history of the southwestern Baltic Sea since 8.000 calendar years BC. In the frame of two projects data will be integrated and models will be developed that mirror the processes of interrelation of different spheres to be investigated. Depending on the varying degree of quantification between measurable variables and qualitative observations models will differ between statistical data exploration and deterministic differential equations. A 4D GIS plays the central role in modelling and data integration. Results will be presented as time-dependent regionalizations of geo-, eco-, and socio-economical parameters. Simulations of future relative sea level change scenarios based on models developed are planned.