4.7 Article

Concentration phenomenon of single phytoplankton species with changing-sign advection term

期刊

JOURNAL OF DIFFERENTIAL EQUATIONS
卷 381, 期 -, 页码 101-150

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jde.2023.11.008

关键词

Phytoplankton; Concentration phenomenon; Changing-sign advection; Reaction-diffusion equation

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In this study, a nonlocal reaction-diffusion equation is used to model the growth of phytoplankton species in a vertical water column with changing-sign advection. The species relies solely on light for metabolism. The paper primarily focuses on the concentration phenomenon of phytoplankton under conditions of large advection amplitude and small diffusion rate. The findings show that the phytoplankton tends to concentrate at certain critical points or the surface of the water column under these conditions.
In this paper, a nonlocal reaction-diffusion equation modeling the growth of phytoplankton species with changing-sign advection in a vertical water column is investigated, where the species depends solely on light for its metabolism. We mainly study the concentration phenomenon of the phytoplankton with large advection amplitude and small diffusion rate. Firstly, we study the threshold-type dynamics of the population by critical death rate d*. Secondly, we examine the concentration phenomenon with large advection amplitude and small diffusion in two cases: (i) the advection function h(x) changes sign only once from positive to negative in water column [0, 1]. We find that the phytoplankton will concentrate at certain critical point with large advection amplitude and small diffusion; (ii) the advection function h(x) < 0 in [0, kappa) with integral(x)(0) h(s)/a(s) ds < 0 for all x is an element of(0, 1], the phytoplankton will concentrate at the surface of water column with large advection amplitude and small diffusion. We also investigate the limiting distribution of phytoplankton as diffusion rate D -> +infinity: the phytoplankton tends to even distribution in water column. (c) 2023 Elsevier Inc. All rights reserved.

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