Estimating historic N- and S-deposition with publicly available data – An example from Central Germany

The deposition of reactive nitrogen and sulphur has profound effects on ecosystem functioning. In the last decades, monitoring networks providing high resolution spatio-temporal deposition estimates have been set up, but equivalent information on historic deposition is mostly missing. However, understanding vegetation change and mitigate future loss of biodiversity and ecosystem functioning is only possible evaluating the effects of its strongest drivers, which includes deposition in many ecosystems. Here, we combine different data sources to provide estimates of historic deposition in forested ecosystems on a high spatio-temporal scale for a federal state in Central Germany from 1880 to present.

We make use of data from field measurement stations together with elevation and precipitation data from the last three decades to build a simple deposition model, validate this model with a model publicly available covering the time range from 2000 to present, and extrapolate deposition from...

活性氮与硫沉降对生态系统功能具有深远影响。近数十年来，学界已建立可提供高时空分辨率沉降估算数据的监测网络，但历史沉降的等效信息大多仍付阙如。然而，唯有通过评估其核心驱动因子的影响（沉降在诸多生态系统中均为核心驱动因子之一），方能理解植被变化并减缓未来生物多样性与生态系统功能的丧失。本研究整合多源数据，针对德国中部某联邦州1880年至今的森林生态系统，构建高时空分辨率的历史沉降估算数据集。

本研究结合近三十年野外观测站实测数据、高程与降水数据构建简易沉降模型，并采用2000年至今公开可用的模型对所建模型进行验证，随后外推沉降数据至……