Information Driven Ecohydrologic Self-Organization
AbstractVariability plays an important role in the self-organized interaction between vegetation and its environment, yet the principles that characterize the role of the variability in these interactions remain elusive. To address this problem, we study the dependence between a number of variables measured at flux towers by quantifying the information flow between the different variables along with the associated time lag. By examining this network of feedback loops for seven ecosystems in different climate regions, we find that: (1) the feedback tends to maximize information production in the entire system, and the latter increases with increasing variability within the whole system; and (2) variables that participate in feedback exhibit moderated variability. Self-organization arises as a tradeoff where the ability of the total system to maximize information production through feedback is limited by moderate variability of the participating variables. This relationship between variability and information production leads to the emergence of ordered organization. View Full-Text
- Supplementary File 1:
PDF version with high-resolution figures (PDF, 1195 KB)
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Kumar, P.; Ruddell, B.L. Information Driven Ecohydrologic Self-Organization. Entropy 2010, 12, 2085-2096.
Kumar P, Ruddell BL. Information Driven Ecohydrologic Self-Organization. Entropy. 2010; 12(10):2085-2096.Chicago/Turabian Style
Kumar, Praveen; Ruddell, Benjamin L. 2010. "Information Driven Ecohydrologic Self-Organization." Entropy 12, no. 10: 2085-2096.