EconPapers    
Economics at your fingertips  
 

Fish populations dynamics with nonlinear stock-recruitment renewal conditions

Gabriela Marinoschi and Angela Martiradonna

Applied Mathematics and Computation, 2016, vol. 277, issue C, 101-110

Abstract: The dynamics of a fish population with age-structure and space diffusion is studied under a renewal condition represented by various nonlocal nonlinear stock-recruitment functions, instead of the standard linear birth condition. This population dynamics model is approached as a Cauchy problem for an evolution equation with an unbounded nonlinear operator in a Hilbert space. The domain of the operator contains specific restrictions induced by the definition of the stock-recruitment function which make not possible the proof of the m-accretiveness property. Its lack is compensated by some other essential properties proved in the paper, which allow the proof of the existence and uniqueness of the solution. The semigroup formulation of the problem ensures the convergence of a time-difference scheme used for providing some numerical simulations which can give information about the stock, recruitment and fishing strategy.

Keywords: Evolution equations; Accretive operators; Nonlinear population dynamics; Age-structure; Stock-recruitment function (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300315300291
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:277:y:2016:i:c:p:101-110

DOI: 10.1016/j.amc.2015.12.041

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:277:y:2016:i:c:p:101-110