Title :
Critical biodiversity and connectivity
Author_Institution :
Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
Abstract :
This article explores the concept of connectivity and biodiversity by using a simple model of an ecosystem. The model is different from standard artificial life systems since there is no attempt to solve a particular problem, nor is there competition between individuals that drives a coevolution and fitness. Fitness gradually increases throughout the simulation, and mutation rate varies based on population size. Additionally, the system is run with a low mutation rate aiming to produce steady-state behaviour. A simple niche structure at every site allows concepts such as keystone species to be defined, and allows an exploration of diversity and extinction. The article addresses two main issues with this model: does altering the connectivity of neighbourhoods affect the critical point and stability of an ecosystem, and are species-area relationships determined by connectivity?.
Keywords :
artificial life; ecology; evolutionary computation; artificial life system; biodiversity; ecosystem; keystone species; landscape connectivity; mutation rate; niche structure; species-area relationship; steady-state behaviour; Biodiversity; Biological system modeling; Biological systems; DNA; Ecosystems; Genetic mutations; Information science; Large-scale systems; Stability; Steady-state;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299383