1 Community Assembly in a Model
نویسندگان
چکیده
Environmental and biotic factors regulate species abundance and the composition of ecological communities. However, it is diicult to demonstrate principles of community assembly in nature due to observational limitations and historical eeects. Numerical simulation can be used to evaluate whether hypothesized mechanisms produce a pattern seen in natural communities. Most models of many-species communities assume similar behavior by all individuals in a population. Here we describe an agent-based model of many-species communities in which interactions among individual agents are subjected to Darwinian selection (Holland's Echo model). To evaluate the response of the model to evolutionary mechanisms, we present a simple version of the model, and describe an experiment which evaluated community assembly patterns with and without selection for genome-mediated interactions, at various levels of invasion. Increased invasion rates decreased population size, but increased species richness and evenness. Interactions acted upon by natural selection resulted in greater population sizes and lower species richness and evenness than random interactions. Genotype abundances deviated from the expectation of equal abundances, and were aaected by both the invasion rate and nature of inter-agent interactions. Species abundance patterns indicate that communities formed by random and selective interactions follow diierent assembly rules, and communities formed under high invasion rates showed no coherent community-level pattern of genotype abundances. Thus, both invasion rate and type of interspeciic interaction regulate the assembly of species into communities. 2 The following can be disregarded, as it's a trick to make dcu.bst cite et al for
منابع مشابه
A chance-constrained multi-objective model for final assembly scheduling in ATO systems with uncertain sub-assembly availability
A chance-constraint multi-objective model under uncertainty in the availability of subassemblies is proposed for scheduling in ATO systems. The on-time delivery of customer orders as well as reducing the company's cost is crucial; therefore, a three-objective model is proposed including the minimization of1) overtime, idletime, change-over, and setup costs, 2) total dispersion of items’ deliver...
متن کاملMaking Optimal Decisions of Assembly Products in Supply Chain
The strategic pricing decisions of assembly products in assembly products supply chain are studied in this paper. Firstly, a two-stage assembly products supply chain model is developed. By building Nash game model, the Nash equilibrium solution of pricing strategy of supplier and assemblers is obtained. Next, a union decision model is built to analyze the optimal combination pricing strategy of...
متن کاملGenetic and Memetic Algorithms for Sequencing a New JIT Mixed-Model Assembly Line
This paper presents a new mathematical programming model for the bi-criteria mixed-model assembly line balancing problem in a just-in-time (JIT) production system. There is a set of criteria to judge sequences of the product mix in terms of the effective utilization of the system. The primary goal of this model is to minimize the setup cost and the stoppage assembly line cost, simultaneously. B...
متن کاملA cost-oriented model for multi-manned assembly line balancing problem
In many real world assembly line systems which the work-piece is of large size more than one worker work on the same work-piece in each station. This type of assembly line is called multi-manned assembly line (MAL). In the classical multi-manned assembly line balancing problem (MALBP) the objective is to minimize the manpower needed to manufacture one product unit. Apart from the manpower, othe...
متن کاملSolving a multi-objective mixed-model assembly line balancing and sequencing problem
This research addresses the mixed-model assembly line (MMAL) by considering various constraints. In MMALs, several types of products which their similarity is so high are made on an assembly line. As a consequence, it is possible to assemble and make several types of products simultaneously without spending any additional time. The proposed multi-objective model considers the balancing and sequ...
متن کاملSequencing Mixed Model Assembly Line Problem to Minimize Line Stoppages Cost by a Modified Simulated Annealing Algorithm Based on Cloud Theory
This research presents a new application of the cloud theory-based simulated annealing algorithm to solve mixed model assembly line sequencing problems where line stoppage cost is expected to be optimized. This objective is highly significant in mixed model assembly line sequencing problems based on just-in-time production system. Moreover, this type of problem is NP-hard and solving this probl...
متن کامل