2004
DOI: 10.1007/s00285-004-0284-4
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Spatial effects in discrete generation population models

Abstract: A framework is developed for constructing a large class of discrete generation, continuous space models of evolving single species populations and finding their bifurcating patterned spatial distributions. Our models involve, in separate stages, the spatial redistribution (through movement laws) and local regulation of the population; and the fundamental properties of these events in a homogeneous environment are found. Emphasis is placed on the interaction of migrating individuals with the existing population… Show more

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Cited by 117 publications
(79 citation statements)
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“…and variations of it, have been recently widely used to model diffusion processes, see [2], [4], [9], [11], [12], [16], [17], [18], [19] and [20]. As stated in [16], if u(t, x) is thought of as the density of a single population at the point x at time t, and J(x−y) is thought of as the probability distribution of jumping from location y to location x, then the convolution (J * u)(t, x) = R N J(y − x)u(t, y) dy is the rate at which individuals are arriving to position x from all other places and −u(t, x) = − R N J(y − x)u(t, x) dy is the rate at which they are leaving location x to travel to all other sites.…”
Section: J(x − Y)u(t Y) Dy − U(t X)mentioning
confidence: 99%
See 1 more Smart Citation
“…and variations of it, have been recently widely used to model diffusion processes, see [2], [4], [9], [11], [12], [16], [17], [18], [19] and [20]. As stated in [16], if u(t, x) is thought of as the density of a single population at the point x at time t, and J(x−y) is thought of as the probability distribution of jumping from location y to location x, then the convolution (J * u)(t, x) = R N J(y − x)u(t, y) dy is the rate at which individuals are arriving to position x from all other places and −u(t, x) = − R N J(y − x)u(t, x) dy is the rate at which they are leaving location x to travel to all other sites.…”
Section: J(x − Y)u(t Y) Dy − U(t X)mentioning
confidence: 99%
“…This consideration, in the absence of external or internal sources, leads immediately to the fact that the density u satisfies equation (1.1). Moreover, a nonlinearity of the form J(x − y) (F (u(y)) − F (u(x))) dy may also appear in population models, see [9] and references therein. Equation (1.1) is called nonlocal diffusion equation since the diffusion of the density u at a point x and time t does not only depend on u(t, x), but on all the values of u in a neighborhood of x through the convolution term J * u.…”
Section: J(x − Y)u(t Y) Dy − U(t X)mentioning
confidence: 99%
“…See for instance [1,2,3,4,9,19]. In particular, nonlocal diffusions are of interest in biological and biomedical problems.…”
Section: Introductionmentioning
confidence: 99%
“…Nonlocal evolution equations of the form u t (t, x) = J * u − u(t, x), and variations of it, have been recently widely used to model diffusion processes, see [1], [2], [5], [7], [16], [17], [18], [20], [29] and [30].…”
Section: U(0 X) = U 0 (X)mentioning
confidence: 99%