Digitisation / Cataloguing of non-textual objects: Acquisition of ecophysiologically relevant morphometric data of fossil leaves

化石叶片的形态特征为古生态和古气候学研究提供了丰富的信息，因为许多叶片性状都受到环境的影响。许多重要的和著名的化石植物群，具有很高的研究潜力，收藏在德国的各种博物馆收藏中。在这个项目中，它打算通过从选定的收集中数字化5.000片树叶并根据它们的形态测量对它们进行分类，从而启动对化石树叶收集的形态测量数据的访问。其目的是允许1)基于形态类型的数据库搜索，以及2)使用形态测量特征对化石树叶进行古生态分析。形态分类将基于最新的标准。在当前阶段，该项目将侧重于源自遇到大气二氧化碳重大变化的时间间隔的植物群。我们希望这个项目将大大有助于改善对博物馆收藏的树叶化石的研究。

Morphometric properties of fossil leaves provide a wealth of information for palaeoecological and palaeoclimatological research since many leaf traits are influenced by environment. Numerous important and famous fossil floras with high research potential are housed in various museum collections in Germany. In this project, it is intended to initiate access to morphometric data of fossil leaf collections by digitizing 5.000 leaves from selected collections and to classify them according to their morphometry. The aim is to allow for 1) a morphotype-based data base search, and 2) palaeoecological analysis of fossil leaves using morphometric traits. Morphological classification will be based on recent standards. In the current phase, this project will be focused on floras that originate from time intervals that encountered substantial changes in atmospheric CO2. We hope that this project will contribute substantially to an improved research access to museum collections of fossil leaves.