scholarly journals Exogenous disturbances and endogenous self‐organized processes are not mutually exclusive drivers of spatial patterns in macroalgal assemblages

Oikos ◽  
2021 ◽  
Author(s):  
Jianyu He ◽  
Luca Rindi ◽  
Caterina Mintrone ◽  
Lisandro Benedetti‐Cecchi
Keyword(s):  
Spatial Patterns ◽  
Self Organized ◽  
Exogenous Disturbances

scholarly journals A Five Species Cyclically Dominant Evolutionary Game with Fixed Direction: A New Way to Produce Self-Organized Spatial Patterns

Entropy ◽  
2016 ◽  
Vol 18 (8) ◽  
pp. 284 ◽  
Author(s):  
Yibin Kang ◽  
Qiuhui Pan ◽  
Xueting Wang ◽  
Mingfeng He
Keyword(s):  
Spatial Patterns ◽  
Evolutionary Game ◽  
Self Organized ◽  
Fixed Direction

scholarly journals Exogenous disturbances and endogenous self-organized processes are not mutually exclusive drivers of spatial patterns in macroalgal assemblages

2020 ◽  
Author(s):  
J. He ◽  
L. Rindi ◽  
C. Mintrone ◽  
L. Benedetti-Cecchi
Keyword(s):  
Spatial Patterns ◽  
Empirical Work ◽  
Power Laws ◽  
Local Scale ◽  
Species Assemblages ◽  
Spatial Gradient ◽  
Gap Size ◽  
Scale Interactions ◽  
Relative Contribution ◽  
Self Organized

AbstractComplex spatial patterns are common in coastal marine systems, but mechanisms underlying their formation are disputed. Most empirical work has focused on exogeneous spatially structured disturbances as the leading cause of pattern formation in species assemblages. However, theoretical and observational studies suggest that complex spatial patterns, such as power laws in gap-size distribution, may result from endogenous self-organized processes involving local-scale interactions. The lack of studies simultaneously assessing the influence of spatially variable disturbances and local-scale interactions has fuelled the idea that exogenous and endogenous processes are mutually exclusive explanations of spatial patterns in marine ecosystems. To assess the relative contribution of endogenous and exogenous processes in the emergence of spatial patterns, an intertidal assemblage of algae and invertebrates was exposed for 2 years to various combinations of intensity and spatial patterns of disturbance. Localized disturbances impinging at the margins of previously disturbed clearings and homogenous disturbances without any spatial pattern generated heterogeneous distributions of disturbed gaps and macroalgal patches, characterized by a truncated or a pure power-law scaling. Spatially varying disturbances produced a spatial gradient in the distribution of algal patches and, to a lesser extent, also a power-scaling in both patch- and gap-size distributions. These results suggest that exogenous and endogenous processes are not mutually exclusive forces that can lead to the formation of similar spatial patterns in species assemblages.

scholarly journals Phase separation explains a new class of self-organized spatial patterns in ecological systems

2013 ◽  
Vol 110 (29) ◽  
pp. 11905-11910 ◽  
Author(s):  
Q.-X. Liu ◽  
A. Doelman ◽  
V. Rottschafer ◽  
M. de Jager ◽  
P. M. J. Herman ◽  
...  
Keyword(s):  
Phase Separation ◽  
Spatial Patterns ◽  
Ecological Systems ◽  
New Class ◽  
Self Organized

Self-organized spatial patterns of vegetation in alpine grasslands

2007 ◽  
Vol 201 (2) ◽  
pp. 233-242 ◽  
Author(s):  
C.L. Alados ◽  
A. El Aich ◽  
B. Komac ◽  
Y. Pueyo ◽  
R. García-Gonzalez
Keyword(s):  
Spatial Patterns ◽  
Alpine Grasslands ◽  
Self Organized

scholarly journals Cellular dialogues that enable self-organization of dynamic spatial patterns

2019 ◽  
Author(s):  
Yiteng Dang ◽  
Douwe Grundel ◽  
Hyun Youk
Keyword(s):  
Spatial Patterns ◽  
Cellular Response ◽  
Spatial Organization ◽  
Spatial Arrangement ◽  
Gene Expressions ◽  
Gene Expression Noise ◽  
Expression Noise ◽  
Self Organized ◽  
Stage Order ◽  
Pattern Formations

SummaryCells form spatial patterns by coordinating their gene expressions. How a group of mesoscopic numbers (hundreds-to-thousands) of cells, without pre-defined morphogens and spatial organization, self-organizes spatial patterns remains incompletely understood. Of particular importance are dynamic spatial patterns - such as spiral waves that perpetually move and transmit information over macroscopic length-scales. We developed an open-source, expandable software that can simulate a field of cells communicating with any number of cell-secreted molecules in any manner. With it and a theory developed here, we identified all possible “cellular dialogues” - ways of communicating with two diffusing molecules - and core architectures underlying them that enable diverse, self-organized dynamic spatial patterns that we classified. The patterns form despite widely varying cellular response to the molecules, gene-expression noise, and spatial arrangement and motility of cells. Three-stage, “order-fluctuate-settle” process forms dynamic spatial patterns: cells form long-lived whirlpools of wavelets that, through chaos-like interactions, settle into a dynamic spatial pattern. These results provide a blueprint to help identify missing regulatory links for observed dynamic-pattern formations and in building synthetic tissues.

scholarly journals Local interactions and self-organized spatial patterns stabilize microbial cross-feeding against cheaters

2018 ◽  
Vol 15 (140) ◽  
pp. 20170822 ◽  
Author(s):  
Simon Maccracken Stump ◽  
Evan Curtis Johnson ◽  
Christopher A. Klausmeier
Keyword(s):  
Population Density ◽  
Spatial Patterns ◽  
Resource Sharing ◽  
Spatial Model ◽  
Group Selection ◽  
Microbial Consortia ◽  
Small Scale ◽  
Complex Behaviour ◽  
Self Organized ◽  
The Cross

Mutualisms are ubiquitous, but models predict they should be susceptible to cheating. Resolving this paradox has become relevant to synthetic ecology: cooperative cross-feeding, a nutrient-exchange mutualism, has been proposed to stabilize microbial consortia. Previous attempts to understand how cross-feeders remain robust to non-producing cheaters have relied on complex behaviour (e.g. cheater punishment) or group selection. Using a stochastic spatial model, we demonstrate two novel mechanisms that can allow cross-feeders to outcompete cheaters, rather than just escape from them. Both mechanisms work through the spatial segregation of the resources, which prevents individual cheaters from acquiring the resources they need to reproduce. First, if microbe dispersal is low but resources are shared widely, then the cross-feeders self-organize into stable spatial patterns. Here the cross-feeders can build up where the resource they need is abundant, and send their resource to where their partner is, separating resources at regular intervals in space. Second, if dispersal is high but resource sharing is local, then random variation in population density creates small-scale variation in resource density, separating the resources from each other by chance. These results suggest that cross-feeding may be more robust than previously expected and offer strategies to engineer stable consortia.

MEASUREMENT OF SELF-ORGANIZATION IN ARID ECOSYSTEMS

2010 ◽  
Vol 18 (02) ◽  
pp. 495-508 ◽  
Author(s):  
GUI-QUAN SUN ◽  
ZHEN JIN ◽  
QIULIN TAN
Keyword(s):  
Spatial Patterns ◽  
Arid Ecosystems ◽  
Self Organization ◽  
Central Feature ◽  
Arid Environments ◽  
Arid Areas ◽  
Plant Mortality ◽  
Vegetation Model ◽  
Self Organized ◽  
Semi Arid

In semi-arid environments, vegetation is not homogeneous, but rather self-organized into spatial patterns. And spatial patterns of vegetation are a central feature of these semi-arid areas. Thus, in this paper, we give detailed analysis of a vegetation model in arid ecosystems. According to the dispersion relation formula, we discuss the changes of the wavelength, with respect to the rainfall and plant mortality rate. The obtained results show that, as rainfall being decreased, spotted, striped and "black-eye" patterns emerge successively.

Sign in / Sign up

Export Citation Format

Share Document