VI. Earth Life Emergence: Development of Body, Brain, Selves and Societies
1. Geosphere, Hydrosphere, Atmosphere
sarker, Shiblu, et al. Critical Nodes in River Networks. Nature Scientific Reports. 9/11178, 2019. By way of a novel application of network theory even to this geological realm, University of Central Florida civil engineers are able to perceive their inherent presence. Once again nature’s universal mathematical program can be seen in formative effect.
River drainage networks are important landscape features that have been studied from a range of geomorphological and hydrological perspectives. However, identifying the most vital (critical) nodes on river networks and their relationships with geomorphic and climatic properties has not yet been addressed. In this study, we use an algorithm that determines the set of critical nodes whose removal results in network fragmentation and apply it to simulated and natural river networks. Our results indicate a power-law relationship between the number of connected node pairs in the remaining network and the number of removed critical nodes. (Abstract excerpt)
Sinha, A. Krishna, ed. Geoinformatics. Boulder, CO: Geological Society of America, 2006. Via the worldwide Internet, earth sciences have rightly attained an interactive resource of data and knowledge. Upon reflection, in this way our home planet achieves its own quantified description so as to further enhance its viability in a developmental cosmos.
Sun, HongGuang, et al. Fractal Nature of Groundwater Level Fluctuations Affected by Riparian Zone Vegetation Water Use. Nature Scientific Reports. 9/15383, 2019. State Key Laboratory of Hydrology-Water Resources and University of Wyoming engineers provide a latest mathematical and geometric analysis by way of these intrinsic common, nested complexities. Whenever could it finally dawn upon us that all this facile phenomena actually has an independent existence of its own as it engenders everywhere this anatomy and physiology of Earth’s animate bio/noosphere.
Groundwater systems affected by various factors can exhibit complex fractal behaviors, whose characterization is not straightforward. This study explores their fractal scaling affected by plant water use and river stage fluctuations in the riparian zone, using multifractal detrended fluctuation analysis. The results show that the water level variations of the Colorado River, USA, exhibit multifractals caused by the memory of time series of the water level fluctuations. For the site with high-density plants the groundwater level fluctuation becomes persistent in spring and summer, since the plants have the most sustained influence in these seasons. (Abstract excerpts)
Tate, Nicholas and Peter Atkinson, eds. Modelling Scale in Geographical Information Science. Chichester: Wiley, 2001. Further explorations of the fractal, self-similarity of natural patterns
Teisseyre, Roman and Eugeniusz Majewski, eds. Earthquake Thermodynamics and Phase Transformations in the Earth’s Interior. San Diego: Academic Press, 2001. The application of the nonlinear sciences to a dynamic planet still in formation perceives a “fractal universality” of self-organizing systems.
Terui, Akira, et al. Metapopulation Stability in Branching River Networks. Proceedings of the National Academy of Sciences. 115/E5963, 2018. University of Minnesota and Hokkaido University system environmentalists provide a sophisticated analysis of the pervasive presence of self-similar network topologies even in these ever variable fluid flow geoscape regimes.
Intraspecific population diversity is an essential component of metapopulation stability and persistence in nature. However, current theories developed in simplified landscapes may be inadequate to predict emergent properties of branching ecosystems, a prime feature of habitat geometry. Here, we analyze a long-term dataset to show that a scale-invariant characteristic of fractal river networks, branching complexity stabilizes watershed metapopulations. In riverine systems, each branch (tributary) exhibits distinctive ecological dynamics, and confluences serve as “merging” points of those branches. We theoretically revealed that the stabilizing effect of branching complexity is due to probabilistic processes in natural conditions, where within-branch synchrony exceeds among-branch synchrony. (Abstract excerpt)
Tsonis, Anastasios and James Elsner, eds. Nonlinear Dynamics in Geosciences. Berlin: Springer, 2007. As the abstract notes, a collation to date of incipient research seeking to model earth system phenomena in this realistic actuality. Sample papers could be Two Paradigms in Landscape Dynamics: Self-Similar Processes and Emergence by Brad Murray, Abstract below, and The Role of El Niño—Southern Oscillation in Regulating its Background State by DE-Zheng Sun.
This volume is comprised of the proceedings of "20 Years of Nonlinear Dynamics in Geosciences", held June 11-16, 2006 in Rhodes, Greece as part of the Aegean Conferences. The volume brings together research from the atmospheric sciences, hydrology, geology, and other areas of Geosciences, and discusses the advances made and the future directions of nonlinear dynamics. Topics covered include predictability, ensemble prediction, nonlinear prediction, nonlinear time series analysis, low-dimensional chaos, nonlinear modeling, fractals and multifractals, bifurcation, and other aspects of nonlinear science. (Publisher)
Turcotte, Donald. Self-Organized Complexity in Geomorphology. Geomorphology. 91/302, 2007. The University of California, Davis, geologist has been a pioneer advocate for the view that all forms of earth’s crustal geo and hydro spheres – coastlines, landscape contours, lakes, branching rivers, and so on – express a self-similar fractal topography.
Turcotte, Donald. The Relationship of Fractals in Geophysics to “The New Science”. Chaos, Solitons and Fractals. 19/255, 2004. The earth’s strata is distinguished by many self-similar patterns. In addition, cellular automata models such as advanced by Stephan Wolfram are also found to apply. The entire journal issue is devoted to “Fractals in Geophysics.”
Valentini, Luca, et al. The “Small World” Topology of Rock Fracture Networks. Physica A. 377/323, 2007. In every diverse nook and cranny the same geometry and grace is apparently at work.
The fractal nature of fracture networks suggests that they might be regarded as complex systems, i.e., systems formed by a series of non-linearly interacting elements whose behavior cannot be fully characterized by studying the system at the scale of single components. (323-324)
Van de Koppel, Johan, et al. The Influence of Local- and Landscape-scale Processes on Spatial Self-Organization in Estuarine Ecosystems. Journal of Experimental Biology. 215/962, 2012. As the Abstract details, Netherlands Institute of Ecology, Center for Estuarine and Marine Ecology, researchers show how generic complex dynamical phenomena well apply across diverse varieties of biotic environments. A natural universality is ever found to be wider and deeper in our organic genesis universe.
Complexity theory proposes that spatial self-organization, the process whereby small-scale, localized interactions among the components of a system generate complex spatial structures at large spatial scales, explains the formation of autogenic spatial patterns in ecosystems. We question this premise by reviewing three estuarine ecosystems – mussel beds, mudflats and salt marshes – where self-organization has been put forward to explain spatial patterns. Our review highlights that these self-organized estuarine systems are shaped by the combination of small-scale interactions between ecological and physical processes on the one hand, and large-scale physical forcing on the other. More specifically, local interactions generate patchiness at small spatial scales, whereas landscape forcing determines the shape and orientation of these patches in the landscape. We present a framework that illustrates how self-organized ecosystems are shaped by interactions between organisms and physical processes occurring at multiple spatial scales. (Summary)
Wang, Yifeng, et al. Self-Organized Iron-Oxide Cementation Geometry as an Indicator of Paleo-Flows. Nature Scientific Reports. 5/10792, 2015. As a worldwise personsphere proceeds to learn on its bicameral own, Wang, Sandia Laboratories, Marjorie Chan, University of Utah, and Enrique Merino, Indiana University describe a nonlinear natural geology and then apply it over the temporal eons to inform our 21st century self-reconstruction.
Widespread iron oxide precipitation from groundwater in fine-grained red beds displays various patterns, including nodulation, banding and scallops and fingers. Hematite nodules have been reported also from the Meridiani Planum site on Mars and interpreted as evidence for the ancient presence of water on the red planet. Here we show that such patterns can autonomously emerge from a previously unrecognized Ostwald ripening mechanism and they capture rich information regarding ancient chemical and hydrologic environments. A linear instability analysis of the reaction-transport equations suggests that a pattern transition from nodules to bands may result from a symmetry breaking of mineral dissolution and precipitation triggered by groundwater advection. Round nodules tend to develop under nearly stagnant hydrologic conditions, while repetitive bands form in the presence of persistent water flows. Since water circulation is a prerequisite for a sustainable subsurface life, a Martian site with iron oxide precipitation bands, if one were found, may offer a better chance for detecting extraterrestrial biosignatures on Mars than would sites with nodules. (Abstract)