Quantifying the complexity of simulated spatiotemporal population dynamics |
| |
| Institution: | 1. Institute of Geophysics and Geomatics, China University of Geosciences (Wuhan), Wuhan 43007, China;2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;3. Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing 100101, China;1. Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, India;2. Space Applications Centre, ISRO, Ahmedabad 380 015, India;1. Department of Mathematics, Uppsala University, 751 06, Uppsala, Sweden;2. Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, 412 96 Gothenburg, Sweden |
| |
| Abstract: | Spatially explicit models in ecology permit the investigation of population dynamics in both space and time. The resultant spatiotemporal dynamics is often irregular and patchy, giving rise to intricate spatial patterns that can be difficult to characterise. Here, the question of how to characterise the spatiotemporal dynamics of simulated populations is addressed and a method of quantifying the complexity of patchy vegetation dynamics is proposed. The method is inspired by information-based measures of complexity and entropy and can distinguish between ordered, disordered (random) and complex (patchy) spatiotemporal mosaics. The method is demonstrated using data generated by the individual-based, multi-species model WIST. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
