Published November 2017 | Version v1
Journal article

Pattern formations of an epidemic model with Allee effect and time delay

  • 1. Key Laboratory of Crop Ecology and Molecular Physiology (Fujian Agriculture and Forestry University), Fujian Province University, Fuzhou 350002 (China)
  • 2. Fujian Provincial Key Laboratory of Agroecological Processing and Safety Monitoring, School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002 (China)
  • 3. Life Sciences College of Fujian Agriculture and Forestry University, Fujian, 350002 (China)
  • 4. Forestry College of Fujian Agriculture and Forestry University, Fujian, 350002 (China)
  • 5. Department of Computer Science and Technology, North University of China, Shan'xi, Taiyuan, 030051 (China)

Description

Allee effect widely exists for endangered plants and animals in ecosystem, which indicates that the minimum population density or size is necessary for population survival, namely, Allee threshold. In this paper, a delayed reaction-diffusion epidemic model with respect to Allee effect is investigated. The instability of the positive constant steady state is induced by two mechanisms, one is diffusion-induced instability, the other is delay-induced instability. The first case gives rise to Turing patterns. Moreover, Turing region becomes narrow as incubation delay being increased. We further observe that the range of Turing mode is enlarged with the increase of Allee threshold. The numerical simulations verify our theoretical results. The combined effects of Allee effect and disease on the spatial distributions of endangered species are studied, which provides new insights for human intervention in conservation management of these species.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2017.09.028

Additional details

Identifiers

DOI
10.1016/j.chaos.2017.09.028;
PII
S0960-0779(17)30396-X;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
104
Journal Page Range
p. 599-606
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49087825
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
COMPUTERIZED SIMULATION; ENDANGERED SPECIES; INSTABILITY; POPULATION DENSITY; SPATIAL DISTRIBUTION; TIME DELAY
Descriptors DEC
DISTRIBUTION; SIMULATION

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.