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

化石叶的形态特征为古生态和古气候研究提供了丰富的信息，因为许多叶的特征都受到环境的影响。在德国的各个博物馆收藏了许多具有很高研究潜力的重要和著名的化石植物群。在这个项目中，它的目的是通过数字化从选定的集合5000叶，并根据它们的形态进行分类，开始访问化石叶集合的形态数据。其目的是允许1）基于形态的数据库搜索，和2）使用形态特征的化石叶的古生态学分析。形态分类将基于最新标准。在当前阶段，该项目将侧重于起源于大气CO2发生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化石叶的研究。

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.