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

SINCOS的总目标是开发一个无潮海域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式，作为自亚特兰蒂冈以来波罗的海南部的范例。地球科学家(地质学家、地貌学家、大地测量学家)、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，以调查驱动力(气候和地质过程)与海侵沿海地区自然和社会环境反应之间的因果关系。达斯海床构造以西和以东的利托里纳海侵的重建起到了中心作用。SINCOS屋顶下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8.000历年以来波罗的海西南部的历史。在这两个项目的框架内，将综合数据，并开发模型，以反映要调查的不同领域的相互关系过程。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式之间的模型将有所不同。四维地理信息系统在建模和数据集成中起着核心作用。结果将以地理、生态和社会经济参数随时间变化的区划形式呈现。根据开发的模型，计划对未来相对海平面变化的情景进行模拟。

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.