scholarly journals Cellular-automata-based ecological and ecohydraulics modelling

2009 ◽  
Vol 11 (3-4) ◽  
pp. 252-265 ◽  
Author(s):  
Qiuwen Chen ◽  
Fei Ye ◽  
Weifeng Li
Keyword(s):  
Cellular Automata ◽  
Spatial Heterogeneity ◽  
Riparian Vegetation ◽  
Regulated River ◽  
Spatially Explicit ◽  
Local Interactions ◽  
Rule Based ◽  
Lumped Models ◽  
Global Patterns ◽  
Modelling Application

Spatially lumped models may fail to take into account the effects of spatial heterogeneity and local interactions. These properties sometimes are crucial to the dynamics and evolutions of ecosystems. This paper started from the fundamental aspects of CA and focused on the development and application of the approach to ecological and ecohydraulics modelling. Application cases include modelling of prey–predator dynamics by stochastic CA and simulation of riparian vegetation successions in a regulated river by rule-based CA. The results indicated that spatially explicit paradigms such as cellular automata (CA) have a strong capability to bridge the local processes and global patterns.

scholarly journals Spatial heterogeneity and environmental predictors of permafrost region soil organic carbon stocks

2021 ◽  
Vol 7 (9) ◽  
pp. eaaz5236 ◽  
Author(s):  
Umakant Mishra ◽  
Gustaf Hugelius ◽  
Eitan Shelef ◽  
Yuanhe Yang ◽  
Jens Strauss ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Spatial Heterogeneity ◽  
Surface Air Temperature ◽  
Spatially Explicit ◽  
Soil Profiles ◽  
Permafrost Region ◽  
Environmental Predictors ◽  
Soil Organic Carbon Stocks ◽  
Soc Stocks

Large stocks of soil organic carbon (SOC) have accumulated in the Northern Hemisphere permafrost region, but their current amounts and future fate remain uncertain. By analyzing dataset combining >2700 soil profiles with environmental variables in a geospatial framework, we generated spatially explicit estimates of permafrost-region SOC stocks, quantified spatial heterogeneity, and identified key environmental predictors. We estimated that 1014−175+194 Pg C are stored in the top 3 m of permafrost region soils. The greatest uncertainties occurred in circumpolar toe-slope positions and in flat areas of the Tibetan region. We found that soil wetness index and elevation are the dominant topographic controllers and surface air temperature (circumpolar region) and precipitation (Tibetan region) are significant climatic controllers of SOC stocks. Our results provide first high-resolution geospatial assessment of permafrost region SOC stocks and their relationships with environmental factors, which are crucial for modeling the response of permafrost affected soils to changing climate.

Earthquake damage modeling using cellular automata and fuzzy rule-based models

2021 ◽  
Vol 14 (13) ◽  
Author(s):  
Rasool Vahid ◽  
Farshid Farnood Ahmadi ◽  
Nazila Mohammadi
Keyword(s):  
Cellular Automata ◽  
Fuzzy Rule ◽  
Earthquake Damage ◽  
Damage Modeling ◽  
Rule Based

GLOBAL PATTERNS FROM LOCAL INTERACTIONS: A DYNAMICAL SYSTEMS APPROACH

2004 ◽  
Vol 14 (08) ◽  
pp. 2555-2578 ◽  
Author(s):  
RICHARD J. WIEDERIEN ◽  
FIRDAUS E. UDWADIA
Keyword(s):  
Traveling Waves ◽  
Systems Approach ◽  
Initial Conditions ◽  
Square Lattice ◽  
Two Dimensional ◽  
Local Interactions ◽  
Dimensional Lattice ◽  
Cumulative Score ◽  
Global Patterns ◽  
Steady State Solutions

In this paper the global patterns that result from local interactions between players on a two-dimensional lattice are studied. The assumptions on interaction between players are based on the Prisoner's Dilemma game that has been used extensively in game theory and in the study of biological systems. Each player is located on a square lattice, and is assumed to cooperate or defect, based on mimicking the neighbor with the highest cumulative score from the preceding round of play. The edges of the lattice are glued to form a torus. Computer simulations are conducted for different sized lattices, different payoff values, and different initial conditions. Though the paper is primarily concerned with player behavior without self-interaction, some results with self-interaction are also included. The influence of "ideal" cooperators on the evolution of the system dynamics is also studied. Three generic regimes of behavior are identified. Complex global patterns with complicated dynamics and sometimes unpredictable results occur. Steady-state solutions, simple and complex periodic solutions, and traveling waves are observed depending on the initial conditions and the payoff values.

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