2015
DOI: 10.1007/s00285-015-0911-2
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Persistence criteria for populations with non-local dispersion

Abstract: In this article, we analyse the non-local model :where J is a positive continuous dispersal kernel and f (x, u) is a heterogeneous KPP type non-linearity describing the growth rate of the population. The ecological niche of the population is assumed to be bounded (i.e. outside a compact set, the environment is assumed to be lethal for the population). For compactly supported dispersal kernels J, we derive an optimal persistence criteria. We prove that a positive stationary solution exists if and only if the ge… Show more

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Cited by 100 publications
(106 citation statements)
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“…In other words, the nonlocal dispersion operator Lu in or would be replaced by trueLεu and the kernel J would be given by (βε2)1trueJε. Furthermore, using for example , the associated energy of , with Lε in place of L, can be thought of as an approximation of that of (see and also where similar quantities are considered in a biological framework). Now, to see how the Neumann boundary condition in can be recovered from or with Lε as ε0+, let us consider for simplicity the case where K is of class C1 with unit normal ν and the bounded function u is of class C1false(RNK¯false) and is extended as a C1false(RNfalse) function still denoted by u.…”
Section: Introductionmentioning
confidence: 99%
“…In other words, the nonlocal dispersion operator Lu in or would be replaced by trueLεu and the kernel J would be given by (βε2)1trueJε. Furthermore, using for example , the associated energy of , with Lε in place of L, can be thought of as an approximation of that of (see and also where similar quantities are considered in a biological framework). Now, to see how the Neumann boundary condition in can be recovered from or with Lε as ε0+, let us consider for simplicity the case where K is of class C1 with unit normal ν and the bounded function u is of class C1false(RNK¯false) and is extended as a C1false(RNfalse) function still denoted by u.…”
Section: Introductionmentioning
confidence: 99%
“…During the time, this model has been proved to be a good model to study the complexity of many natural phenomena, various aspects have been investigated and numerous interesting results were already obtained. More recently, KPP equations with a given forced speed was used to describe the dynamics of a population facing a climate change by Berestycki et al [2,3,7,8] under the additional condition lim sup |z|→∞ ∂ u f (z, 0) ≤ −m < 0, z = (x, y). (1.2) In [2,3,7,8], assumption (1.2) means that the environment of species is completely unfavorable outside a compact set and it may be favorable inside.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…More recently, KPP equations with a given forced speed was used to describe the dynamics of a population facing a climate change by Berestycki et al [2,3,7,8] under the additional condition lim sup |z|→∞ ∂ u f (z, 0) ≤ −m < 0, z = (x, y). (1.2) In [2,3,7,8], assumption (1.2) means that the environment of species is completely unfavorable outside a compact set and it may be favorable inside. This kind of model is newly investigated in one dimensional space by Li et al [12] under assumption that ∂ u f (z, 0) is positive near positive infinity and is negative near negative infinity.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…A typical example of such a nonlinearity is given by f (x, s) := s(a(x) − s) with a ∈ C(Ω). Nonlocal dispersal equations of the form (1.1) are widely used to model dispersal phenomena which exhibit nonlocal internal interactions and have attracted much attention, see Bates and Zhao [2], Berestycki et al [4], Cao et al [7], Chasseigne et al [8], Cortázar et al [9], Coville [10,13], Coville et al [11], Fife [16], Hutson et al [18], Kao et al [19], Li et al [22][23][24][25], Shen and Xie [28], Shen and Zhang [30], Su et al [32], Sun et al [35,36], Wang and Lv [37], Yang et al [38] and Zhang et al [39][40][41]. From both mathematical and ecological points of view, nonlocal dispersal kernel functions can have a variety of forms.…”
Section: Introductionmentioning
confidence: 99%