科研之友
微信
新浪微博
Facebook
分享链接
摘要
The amount and quality of paleontological data is rapidly increasing thanks to the new developments in geological dating, 3D visualization and morphometrics, chemical and histological analysis, and database storage. However, despite the fact that data from fossils, their assemblages, temporal successions, spatial gradients and environments are of an evolutionary-ecological nature, their contribution to current mainstream evolutionary-ecological theory and methodology is low. The use of fossils is not seldom restricted to calibration (e.g., in phylogenetics), or source for historical speculation after having analyzed modern data first (e.g., in macroecology). Yet, the scale of resolution of many paleontological time series (10(3)-10(5) years) is highly apt for studying the dynamics of species, the average lifetime of which is in the order of 10(6)-10(7) years. In order to fully profit from the wealth of data from the rock archive, a large-scale %26quot;stratophenomics%26quot; approach is needed. The resulting data archives will not only further contribute to an increase in the knowledge of past species, communities and environments, but will also generate more and innovative theory on the mechanisms underlying species and higher taxon dynamics. Examples of new and promising approaches towards generating paleontological data will be presented under the headings of the three major stratophenomics dimensions: time, morphology and environment. Highlighted fields include astrochronology, sclerochronology and 3D morphometrics.
- 出版日期2012-5
