
VI. Earth Life Emergence:7. Dynamic Ecosystems Intricate natural environments such as rainforests, prairies, coral reefs, and every biota are no longer held to seek an equilibrium or balance state, but to exemplify selforganizing, complex adaptive systems and nested networks in constant flux over many invariant scales from biofilm microbes to communities of organisms to whole bioregions. These novel understandings of dynamic ecosystems of flora, fauna, and their resident realms are aiding our human respectful endeavors to maintain and foster their viability. Aerts, Diederik, et al. Quantum Structure in Competing Lizard Communities. Ecological Modelling. 281/38, 2014. As the extended quotes allude, Vrije Universiteit Brussel, Polytechnika Gdanska, and University of Leicester theorists broach a number of ways that quantum phenomena, as it now becomes reinterpreted and understood in macro classical terms, are in fact evidently, at work, as they must be, in all aspects of living systems such as animal behaviors. Almost two decades of research on applications of the mathematical formalism of quantum theory as a modeling tool in domains different from the microworld has given rise to many successful applications in situations related to human behavior and thought, more specifically in cognitive processes of decisionmaking and the ways concepts are combined into sentences. In this article, we extend this approach to animal behavior, showing that an analysis of an interactive situation involving a mating competition between certain lizard morphs allows one to identify a quantum theoretic structure. We work out an explicit quantummechanical representation in Hilbert space for the lizard situation and show that it faithfully models a set of experimental data collected on three throatcolored morphs of a specific lizard species. Furthermore, we investigate the Hilbert space modeling, and show that the states describing the lizard competitions contain entanglement for each one of the considered confrontations of lizards with different competing strategies, which renders it no longer possible to interpret these states of the competing lizards as compositions of states of the individual lizards. (Abstract) Agrawal, Anurag. Community Genetics: New Insights into Community Ecology by Integrating Population Genetics. Ecology. 84/3, 2004. From a special issue on how a synthesis of these disparate approaches is bringing theoretical and practical advances. By this view, e.g., extended phenotypes and a community level heritability and selection become evident. Community genetics is the study of the interaction between genes within a species and populations of other species in a community. (543) Alados, C., et al. Selforganized Spatial Patterns of Vegetation in Alpine Grasslands. Ecological Modelling. 201/2, 2007. In the Central Pyrenees mountains , a case study example of and portal to universal nonlinear dynamics. Allen, T. P. H. and Thomas Hoekstra. Toward a Unified Ecology. New York: Columbia University Press, 1992. If ecology is to become a theoretical science, it should be based on the pervasive fractal, stratified anatomy and physiology of diverse, complex ecosystems. Allen, Timothy and Thomas Hoekstra. Toward a Unified Ecology. New York: Columbia University Press, 2015. This second edition of their 1993 classic by the University of Wisconsin botanist and a U. S. Forest Service environmentalist draws on 21st century advances to achieve a comprehensive theoretical and practical treatise. The chapters begin with Principles of Ecological Integration and proceed to Landscape, Ecosystem, Community, Organism, Population, Biome, Biosphere, Complexity narratives. The salient unifying theme and natural quality is still a fractal selfsimilarity from the smallest microbial to the largest biota scale. The first edition of Toward a Unified Ecology was ahead of its time. For the second edition, the authors present a new synthesis of their core ideas on evaluating communities, organisms, populations, biomes, models, and management. The book now places greater emphasis on postnormal critiques, cognizant of everpresent observer values in the system. The problem it addresses is how to work holistically on complex things that cannot be defined, and this book continues to build an approach to the problem of scaling in ecosystems. Provoked by complexity theory, the authors add a whole new chapter on the central role of narrative in science and how models improve them. The book takes data and modeling seriously, with a sophisticated philosophy of science. Anand, Madhur. Quantification of Biocomplexity. International Conference on Complex Systems. May 1621, 2004. A systems biologist from Laurentian University makes the notable observation that healthy ecosystems are characterized by selforganizing processes which generate a powerlaw, fractallike scaling. Disturbances can be measured by deviations from this state. The return to a viable ecosystem then requires a restoration of this dynamical, nonequilibrium condition. The abstract is available at www.necsi.org, ICCS 2004. Also check Professor Anand’s website at www.laurentian.ca/biology/MANAND/anandlab/main.html for more info and papers. Atkinson, R., et al. ScaleFree Dynamics in the Movement Patterns of Jackals. OIKOS. 98/1, 2002. A typical contribution that finds invariant mathematical processes throughout a newly knowable natural realm. Using conventional radiotracking techniques employed by field ecologists, evidence for scalefree (fractal) behavior in the foraging trajectories of a species of African jackal is presented….The methods used in this study are completely general and can be applied to other radiotracked species, thus beginning a systematic investigation of foraging strategies in mammals. (134) Azovsky, A. I., et al. Fractal Properties of Spatial Distribution of Intertidal Benthic Communities. Marine Biology. 136/3, 2006. Diatom algae inherently take on the form of a nested, selfsimilar, hierarchical community. In accordance with another hypothesis, a fractal spatial pattern is the result of community selforganization, which is then transformed into other structures (fixed patches or gradients) under the evident external (environmental) influences. If so, fractals may be a universal way of a biota’s selforganization and filling up the space. (589) Bailey, Joseph, et al. Fractal Geometry is Heritable in Trees. Evolution. 58/9, 2004. More quantitative insights into a universally selfsimilar nature. Here for the first time we show that the fractal architecture of a dominant plant on the landscape exhibits high broadsense heritability and thus has a genetic basis. This result provides a crucial link between genes and fractal scaling theory, and places the study of landscape ecology with an evolutionary framework. (2100) Bascompte, Jordi and Pedro Jordano. Mutualistic Networks. Princeton: Princeton University Press, 2014. Spanish Research Council theoretical ecologists provide the first booklength treatment for evolving nature’s cooperative propensity that graces all manner of flora and fauna from whelks to whales. Bascompte, Jordi and Pedro Jordano. The Structure of PlantAnimal Mutualistic Networks. Pascual, Mercedes and Jennifer Dunne, eds. Ecological Networks. Oxford: Oxford University Press, 2006. Whence these intricate food webs take on a very cohesive structure organized in a nested, Chinese Box fashion. Bascompte, Jordi and Ricard Sole. Modeling Spatiotemporal Dynamics in Ecology. New York: Springer, 1997. On the application of nonlinear theory to complex natural environments. Rainforest ecologies, for example, are seen to exemplify a recursive, selfsimilar system.
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