scholarly journals Patterning in Mussel Beds Explained by the Interplay of Multi-Level Selection and Spatial Self-Organization

2020 ◽  
Vol 8 ◽  
Author(s):  
Monique de Jager ◽  
Johan van de Koppel ◽  
Ellen J. Weerman ◽  
Franz J. Weissing
Keyword(s):  
Self Organization ◽  
Mussel Beds ◽  
Multi Level

PRINCIPLES OF SUSTAINABLE SPATIAL NONEQUILIBRIUM

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
A. A. Kaganovich ◽  
S. P. Prisyazhnyuk ◽  
A. S. Prisyazhnyuk ◽  
A.A. Petrov
Keyword(s):  
Open Systems ◽  
Point Of View ◽  
Self Organization ◽  
Nonequilibrium Systems ◽  
Ongoing Research ◽  
Evolutionary Changes ◽  
Self Development ◽  
Development Processes ◽  
Multi Level ◽  
Equilibrium Economic

<p>On the basis of ongoing research and development the authors substantiate the need to improve the theoretical and methodological foundations of self-development processes for equilibrium and non-equilibrium economic multi-level systems.Particular attention is paid to the analysis of the functioning of the so-called «microscopic open nonequilibrium systems»</p><p>In the article, the economic system is viewed from the point of view of synergy - as dual entities consisting of a continuous and discrete sphere.Classification of possible evolutionary changes in the kinetic and constitutional spheres in the process of self-development for economic equilibrium and nonequilibrium systems.Particular attention is paid to the continuous self-organization of microscopic open systems.</p>

A Method for Identifying Error Sources in Complex Assembly Process Based on Multi-Level Network

2014 ◽  
Author(s):  
Guangzhou Diao ◽  
Liping Zhao ◽  
Yiyong Yao ◽  
Sheng Hu
Keyword(s):  
Product Quality ◽  
Error Compensation ◽  
Product Performance ◽  
Self Organization ◽  
Assembly Process ◽  
Assembly Quality ◽  
Error Sources ◽  
Complex Assembly ◽  
Multi Level

In complex assembly process, there are many error sources which influence the final product quality, so the identification and compensation of error sources are the important ways to improve product quality. The purpose of this paper is to identify the error sources by establishing the relationships between assembly errors and product performance. Firstly, a new concept of multi-level network is proposed to describe the complexity of product structure. Then the multi-level assembly network (MLAN) model is established and its self-organization stability is discussed to explore the influences from assembly errors on product performance. The sensitive fluctuation index (SFI) is defined and calculated to identify the error sources in assembly process. Based on this, the error sensitivity is discussed so that measures for error compensation are made to improve the assembly quality of product. Finally, an assembly experiment about blade rotation is conducted to verify the feasibility of proposed method.

scholarly journals Alternative mechanisms alter the emergent properties of self-organization in mussel beds

2012 ◽  
Vol 279 (1739) ◽  
pp. 2744-2753 ◽  
Author(s):  
Quan-Xing Liu ◽  
Ellen J. Weerman ◽  
Peter M. J. Herman ◽  
Han Olff ◽  
Johan van de Koppel
Keyword(s):  
Pattern Formation ◽  
Spatial Patterns ◽  
Ecosystem Functioning ◽  
Theoretical Models ◽  
Self Organization ◽  
Emergent Properties ◽  
Mussel Beds ◽  
Contrasting Effect ◽  
Underlying Mechanisms ◽  
Facilitative Interactions

Theoretical models predict that spatial self-organization can have important, unexpected implications by affecting the functioning of ecosystems in terms of resilience and productivity. Whether and how these emergent effects depend on specific formulations of the underlying mechanisms are questions that are often ignored. Here, we compare two alternative models of regular spatial pattern formation in mussel beds that have different mechanistic descriptions of the facilitative interactions between mussels. The first mechanism involves a reduced mussel loss rate at high density owing to mutual protection between the mussels, which is the basis of prior studies on the pattern formation in mussels. The second mechanism assumes, based on novel experimental evidence, that mussels feed more efficiently on top of mussel-generated hummocks. Model simulations point out that the second mechanism produces very similar types of spatial patterns in mussel beds. Yet the mechanisms predict a strikingly contrasting effect of these spatial patterns on ecosystem functioning, in terms of productivity and resilience. In the first model, where high mussel densities reduce mussel loss rates, patterns are predicted to strongly increase productivity and decrease the recovery time of the bed following a disturbance. When pattern formation is generated by increased feeding efficiency on hummocks, only minor emergent effects of pattern formation on ecosystem functioning are predicted. Our results provide a warning against predictions of the implications and emergent properties of spatial self-organization, when the mechanisms that underlie self-organization are incompletely understood and not based on the experimental study.

scholarly journals PRINCIPLES OF SUSTAINABLE SPATIAL NONEQUILIBRIUM

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
A. A. Kaganovich ◽  
S. P. Prisyazhnyuk ◽  
A. S. Prisyazhnyuk ◽  
A.A. Petrov
Keyword(s):  
Open Systems ◽  
Point Of View ◽  
Self Organization ◽  
Nonequilibrium Systems ◽  
Ongoing Research ◽  
Evolutionary Changes ◽  
Self Development ◽  
Development Processes ◽  
Multi Level ◽  
Equilibrium Economic

<p>On the basis of ongoing research and development the authors substantiate the need to improve the theoretical and methodological foundations of self-development processes for equilibrium and non-equilibrium economic multi-level systems.Particular attention is paid to the analysis of the functioning of the so-called «microscopic open nonequilibrium systems»</p><p>In the article, the economic system is viewed from the point of view of synergy - as dual entities consisting of a continuous and discrete sphere.Classification of possible evolutionary changes in the kinetic and constitutional spheres in the process of self-development for economic equilibrium and nonequilibrium systems.Particular attention is paid to the continuous self-organization of microscopic open systems.</p>

scholarly journals Multi-level Self-organization in Cyber-Physical-Social Systems: Smart Home Cleaning Scenario

Procedia CIRP ◽  
2015 ◽  
Vol 30 ◽  
pp. 329-334 ◽  
Author(s):  
Alexander Smirnov ◽  
Alexey Kashevnik ◽  
Andrew Ponomarev
Keyword(s):  
Smart Home ◽  
Social Systems ◽  
Self Organization ◽  
Multi Level

scholarly journals Behavioral self-organization underlies the resilience of a coastal ecosystem

2017 ◽  
Vol 114 (30) ◽  
pp. 8035-8040 ◽  
Author(s):  
Hélène de Paoli ◽  
Tjisse van der Heide ◽  
Aniek van den Berg ◽  
Brian R. Silliman ◽  
Peter M. J. Herman ◽  
...  
Keyword(s):  
Spatial Patterns ◽  
Large Scale ◽  
Spatial Scales ◽  
Experimental Tests ◽  
Theoretical Models ◽  
Self Organization ◽  
Small Scale ◽  
Mussel Bed ◽  
Mussel Beds ◽  
Self Organized

Self-organized spatial patterns occur in many terrestrial, aquatic, and marine ecosystems. Theoretical models and observational studies suggest self-organization, the formation of patterns due to ecological interactions, is critical for enhanced ecosystem resilience. However, experimental tests of this cross-ecosystem theory are lacking. In this study, we experimentally test the hypothesis that self-organized pattern formation improves the persistence of mussel beds (Mytilus edulis) on intertidal flats. In natural beds, mussels generate self-organized patterns at two different spatial scales: regularly spaced clusters of mussels at centimeter scale driven by behavioral aggregation and large-scale, regularly spaced bands at meter scale driven by ecological feedback mechanisms. To test for the relative importance of these two spatial scales of self-organization on mussel bed persistence, we conducted field manipulations in which we factorially constructed small-scale and/or large-scale patterns. Our results revealed that both forms of self-organization enhanced the persistence of the constructed mussel beds in comparison to nonorganized beds. Small-scale, behaviorally driven cluster patterns were found to be crucial for persistence, and thus resistance to wave disturbance, whereas large-scale, self-organized patterns facilitated reformation of small-scale patterns if mussels were dislodged. This study provides experimental evidence that self-organization can be paramount to enhancing ecosystem persistence. We conclude that ecosystems with self-organized spatial patterns are likely to benefit greatly from conservation and restoration actions that use the emergent effects of self-organization to increase ecosystem resistance to disturbance.

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