Literature DB >> 16122758

Viewing DVM via general behaviors of zooplankton: a way bridging the success of individual and population.

Shun-Hui Liu1, Song Sun, Bo-Ping Han.   

Abstract

In this paper, we viewed the diel vertical migration (DVM) of copepod in the context of the animal's immediate behaviors of everyday concerns and constructed an instantaneous behavioral criterion effective for DVM and non-DVM behaviors. This criterion employed the function of 'venturous revenue' (VR), which is the product of the food intake and probability of the survival, to evaluate the gains and losses of the behaviors that the copepod could trade-off. The optimal behaviors are to find the optimal habitats to maximize VR. Two types of VRs are formulated and tested by the theoretical analysis and simulations. The sensed VR, monitoring the real-time changes of trade-offs and thereby determining the optimum habitat, is validated to be the effective objective function for the optimization of the behavior; whereas, the realized VR, quantifying the actual profit obtained by an optimal copepod in the sensed-VR-determined habitat, defines the life history of a specific age cohort. The achievement of a robust copepod overwintering stock through integrating the dynamics of the constituent age cohorts subjected to the instantaneous behavioral criterion for DVM clearly exemplified a possible way bridging the immediate pursuit of an individual and the end success of the population.

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Year:  2005        PMID: 16122758     DOI: 10.1016/j.jtbi.2005.06.003

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  2 in total

1.  Exploring Evolutionary Fitness in Biological Systems Using Machine Learning Methods.

Authors:  Oleg Kuzenkov; Andrew Morozov; Galina Kuzenkova
Journal:  Entropy (Basel)       Date:  2020-12-29       Impact factor: 2.524

2.  Revealing Evolutionarily Optimal Strategies in Self-Reproducing Systems via a New Computational Approach.

Authors:  Simran Kaur Sandhu; Andrew Morozov; Oleg Kuzenkov
Journal:  Bull Math Biol       Date:  2019-11-18       Impact factor: 1.758

  2 in total

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