(logo) Natural Genesis (logo text)
A Sourcebook for the Worldwide Discovery of a Creative Organic Universe
Table of Contents
Introduction
Genesis Vision
Learning Planet
Organic Universe
Earth Life Emerge
Genesis Future
Glossary
Recent Additions
Search
Submit

VI. Earth Life Emergence: Development of Body, Brain, Selves and Societies

7. Dynamic Ecosystems

Linquist, Stefan, et al. Yes! There are Resilient Generalizations (or “Laws”) in Ecology. Quarterly Review of Biology. 91/2, 2016. University of Guelph biologists and philosophers including Ryan Gregory review the past century of environmental studies to conclude (as other fields also) that independent, generic, universally applicable natural principles really do exist, instantiate, and guide.

It is often argued that ecological communities admit of no useful generalizations or “laws” because these systems are especially prone to contingent historical events. Detractors respond that this argument assumes an overly stringent definition of laws of nature. Under a more relaxed conception, it is argued that ecological laws emerge at the level of communities and elsewhere. A brief review of this debate reveals an issue with deep philosophical roots that is unlikely to be resolved by a better understanding of generalizations in ecology. We therefore propose a strategy for transforming the conceptual question about the nature of ecological laws into a set of empirically tractable hypotheses about the relative resilience of ecological generalizations across three dimensions: taxonomy, habitat type, and scale. These hypotheses are tested using a survey of 240 meta-analyses in ecology. Our central finding is that generalizations in community ecology are just as prevalent and as resilient as those in population or ecosystem ecology. These findings should help to establish community ecology as a generality-seeking science as opposed to a science of case studies. (Abstract)

Margalef, Roman. Exosomatic Structures and Captive Energies Relevant in Succession and Evolution. Jorgensen, Sven and Felix Muller, eds. Handbook of Ecosystems Theories and Management. Boca Raton, FL: Lewis Publishers, 2000. A novel view of evolution as due to self-organized information which is contained in increasingly efficient external storage and retrieval systems.

Marquet, Pablo. Of Predators, Prey, and Power Laws. Science. 295/2229, 2002. An example of how complexity science is now articulating the intricate natural realm previously seen as intractably tangled.

As has been demonstrated, power laws are ubiquitous within local ecosystems and may hold the clue to understanding large-scale patterns in the structure and function of biodiversity. (2230)

McGuirl, Melissa, et al. Topological Data Analysis of Zebrafish Patterns. Proceedings of the National Academy of Sciences. 117/5113, 2020. Self-organized pattern behavior is ubiquitous throughout nature from fish schooling to collective cell dynamics. (1) Biomathematicans MM and Bjorn Sandstede, Brown University, and Alexandria Volkening, Northwestern University provide an example of how widely this natural propensity has become accepted in practice. In the early 2000s, it was hardly mentioned anywhere. In 2020, a universality of local interactive agents from which a global phase arises is strongly evident. After citing this common source, the paper describes an instance by the way it shapes aquatic scale formations.

Mehr, Samuel, et al. Origins of Music in Credible Signaling. Behavioral and Brain Sciences. Online August, 2020. With some 300 references into the 20th century, Harvard, UCLA, and Washington State University (Edward Hagen) paleolinguists propose this latest clarification of how primate and hominin sing and sign fostered relative familial and communal communications. With a nod to Robin Dunbar and others, the vital presence of a nested scale of social groupings becomes evident. See Music as a Coevolved System for Social Bonding by Patrick Savage, et al in this journal issue.

How did music evolve? We show that prevailing views on the evolution of music are inadequate. We argue that music evolved as a credible signal in at least two contexts: coalitional interactions and infant care. Specifically, we propose that (1) the production and reception of coordinated, entrained rhythmic displays is a co-evolved system for credibly signaling coalition strength, size, and coordination ability; and (2) the production and reception of infant-directed song is a co-evolved system for credibly signaling parental attention to secondarily altricial infants. The adaptations provide a foundation for the cultural evolution of music in its actual domain, yielding the diversity of musical forms and musical behaviors found worldwide. (Abstract excerpt)

Meron, Ehud. Nonlinear Physics of Ecosystems. Boca Raton: CRC Press, 2015. In this volume which seeks to join these far-removed yet intimately related domains, a Blaustein Institute for Desert Research and Ben-Gurion University physicist specifies and explains how living environments exemplify a spontaneous self-organization via complex dynamical systems of self-similar pattern formation. Nature’s entanglement can at last be shown to exhibit an integral universality of scales, periodicities, fractal shapes, symmetry breaks, reciprocities, and so on across vegetation, species, communities, and biodiversities.

Miele, Vincent and Catherine Matias. Revealing the Hidden Structure of Dynamic Ecological Networks. arXiv:1701.01335. University of Lyon and University of Paris Diderot biomathematicians conceive a method by which to discern nature’s vital, interactive relations between creatures and environs, which are not readily perceptible by a particulate focus.

Recent technological advances and long-term data studies provide interaction data that can be modelled through dynamic networks, i.e a sequence of different snapshots of an evolving ecological network. Most often time is the parameter along which these networks evolve but any other one-dimensional gradient (temperature, altitude, depth, humidity) could be considered. Here we propose a statistical tool to analyse the underlying structure of these networks and follow its evolution dynamics. It consists in extracting the main features of these networks and summarise them into a high-level view. We analyse a dynamic animal contact network and a seasonal food web and in both cases we show that our approach allows for the identification of a backbone organisation as well as interesting temporal variations at the individual level. (Abstract)

Montiglio, Puerre-Olivier, et al. Nested Interaction Networks Represent a Missing Link in the Study of Behavioural and Community Ecology. arXiv:1804.00927. The six person team has postings in Canada, Germany, USA and the UK, and cites themselves as an EcoEvoInteract Scientific Network. When we began this section around 2000, complex ecosystem patterns were sparsely evident and not well quantified. Network theories were in early stages, and not widely applied. This posting in the later 2010s is a good example of their pervasive utility as flora and fauna become treated just the same as physiologies. For example, an illustration displays wholes within wholes from genes to phenotypes to populations, via a typical node-link reciprocity.

Interactions are ubiquitous across biological systems. These interactions can be abstracted as patterns of connections among distinct units which form a hierarchy of biological organisation: gene and protein networks shape phenotypic traits and together constitute individuals, individuals are embedded within populations, populations within communities, and communities within ecosystems. The concept of nested biological networks is implicit in a variety of disciplines ranging from the study of genetic circuits regulating phenotypic trait expression, to the study of predator-prey interactions influencing community composition. Here, we formalise nested networks as having nodes that can contain, or be embedded in, other nodes, and where edges can bridge connections between sets of embedded nodes. We focus on two phenomena in particular: (i) indirect connections among units can arise from the structure of connections at higher or lower levels of organisation, (ii) the propagation of effects across neighbouring hierarchical levels of organization. (Abstract)

Montoya, Jose and Ricard Sole. Small World Patterns in Food Webs. Journal of Theoretical Biology. 214/3, 2002. The property of complex networks to develop a power-law distribution of interlinked nodes is here shown to apply for dynamic ecosystem communities.

Mouillot, David, et al. The Fractal Model. OIKOS. 90/3, 2000. An exploration of a self-similar geometry which can be applied to characterize species abundance and distribution.

Nathan, Marco. Molecular Ecosystems. Biology & Philosophy. Online September, 2013. A University of Denver philosopher traces in the recent literature how the term “ecosystem” is used in an analogous way for life’s other, often much removed, scalar phases such as biomolecular phenomena. Nathan avers that this is a valid metaphor for living systems which repeat their form and function, patterns and processes, at each sequential domain. Thus it is fair to enter a “microcosm – macrocosm” identity, along with a similar tendency to “individuation” at each nested instance. To note once more, as such a holistic purview becomes possible, all evolution and each organism do indeed reveal a necessary reiteration and recapitulation, as intuited by every age and culture.

In sum, we can distinguish between two models of ecosystem individuation: a physiognomic approach – which begins with a preliminary circumscription of the system and then works “inwards” to explore the ecological structure of the territory – and a component-specific approach, which starts by selecting the population(s) of reference and then works “outwards,” looking at their distribution and the totality of their interactions. Recent advances in genetics and molecular biology revealed that development is the product of a series of discrete and interacting modules, which allow the tinkering of finely-tuned and complex processes without wreaking havoc to the entire organism. I argue that our two modes of ecological individuation – physiognomic and component-specific – correspond to two distinct strategies for individuating developmental modules. (6)

In sum, I distinguished between two modes of individuation. The first, physiognomic mode, circumscribes a system in terms of physical discontinuities. The second, component-specific, mode focuses on the distribution and activity of selected populations embedded within a larger system, allowing a more fine-grained individuation of units, even in the absence of real or alleged “natural boundaries.” These two approaches can be employed both in ecology and in molecular-developmental biology. (8) A further analogy between the macrocosm and the microcosm emerges as soon as we switch from ecosystem ecology to a different biological subfiels: community ecology. (8)

The aim of this article was to analyze striking resemblance between the cellular environment and the biosphere. In the first part, I focused on three analogies between the ecological macrocosm and the molecular microcosm. First, I distinguished two approaches for the individuation of ecological and molecular systems – physiognomic and component-specific. Second, I showed that molecular environments display several processes and interactions characteristic of ecological communities, such as competition, predation, mutualism, and metabolic cooperation. (9)

Naveh, Zev. Ten Major Premises for a Holistic Conception of Multifunctional Landscapes. Landscape and Urban Planning. 57/3-4, 2001. A veteran ecologist lists the salient features of self-organizing systems which by their natural ubiquity can guide the transition to a sustainable society.

Such a revolution was initiated by a major paradigm shift from parts to wholes and from entirely reductionistic and mechanistic approaches to more holistic and organismic ones. It shifted from breaking down, analyzing and fragmenting wholes into smaller and smaller particles towards new trends for integration, synthesis and complementarity…These should also be the properties of sustainable societies, their economy and landscapes in the emerging post-industrial information society. It constitutes a major transdisciplinary paradigm shift from the neo-Darwinian conception of evolution to an all-embracing conception of synthetic cosmic, geological, biological and cultural co-evolution. (271)

Previous   1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10  Next  [More Pages]