Verlässliche Abschätzung von CH4-Bilanzen für Ökosysteme auf der Basis der Extrapolation von Punktmessungen unter Benutzung von Vegetationsmustern und weiteren Umweltparametern

生态系统的气体通量和物质平衡对于评估预测气候变化下土地利用的气候影响至关重要。封闭箱（CC）和涡度相关（EC）测量是评估生态系统温室气体（GHG）排放的两种最广泛使用的方法。CC测量表现出相当大的空间和时间变异性所造成的物候发展（时间变异性）和空间变异性的植被及其相关的微生物群落。在计划的项目中，退化、再湿润、半咸水沼泽的植被组成应与相关环境参数的连续地图一起用作替代，以外推CC对CH 4通量率的测量，从而获得生态系统/生境规模的可靠的CH 4排放量估计。植被评估是在规则的等距网格中进行的。在考虑空间效应的情况下，利用回归克里格法模拟了CH 4排放与植被组成和环境参数之间的关系。我们的研究结果将有助于获得更好的，更准确的，因此，更可靠的CH 4平衡点测量（CC）的生态系统规模的升级，同时允许排放的CH 4植物群落特征。

Gas fluxes and matter balances of ecosystems are of crucial importance for the evaluation of the climate impact of land use under predicted climate change. Closed chamber (CC) and eddy covariance (EC) measurements are the two most widely used methods to assess greenhouse gas (GHG) emissions from ecosystems. CC measurements exhibit a considerable spatial and temporal variability caused by the phenological development (temporal variability) and by the spatial variability of the vegetative cover and their associated micro-organism communities. In the planned project the vegetation composition of a degraded, rewetted, brackish fen shall be used - together with continuous maps of relevant environmental parameters - as a proxy to extrapolate CC measurements of CH4 flux rates to obtain reliable CH4 emission estimates for the ecosystem/habitat scale. The vegetation assessment is carried out in a regular equidistant grid. The relationship between CH4 emissions and vegetation composition and further environmental parameters is modeled under the consideration of spatial effects with regression kriging. Our results will help to obtain better, more exact, and thus, more reliable CH4 balances by upscaling of point measurements (CC) to the ecosystem scale whilst allowing to attribute the emitted CH4 to plant community characteristics.