pith. sign in

arxiv: 2602.21414 · v2 · submitted 2026-02-24 · 🧮 math.AP

The Influence of Exclusion Zones on the Coexistence of Predator and Prey with an Allee Effect

Pith reviewed 2026-05-15 19:23 UTC · model grok-4.3

classification 🧮 math.AP
keywords reaction-diffusion equationspredator-prey modelAllee effectexclusion zonetopological degreecoexistenceecological modeling
0
0 comments X

The pith

A sufficiently large predator-free exclusion zone guarantees positive coexistence equilibria for both species in a reaction-diffusion model with Allee effect.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper studies a reaction-diffusion system modeling predator-prey dynamics where predators are confined to a portion of the domain, leaving an exclusion zone where prey can grow without predation. The prey population is subject to a strong Allee effect, which risks extinction if predation is too intense. The central result establishes that when this exclusion zone exceeds a certain size, the system has spatially varying steady states in which both species maintain positive densities throughout the domain. This is shown using a topological degree method that works globally in any spatial dimension and avoids dependence on bifurcation from boundary equilibria. The finding implies that protected refuges can stabilize such systems against collapse, and that reducing predator range does not necessarily reduce predator numbers.

Core claim

Using a topological degree argument, the authors show in any dimensions that, provided the exclusion zone is large enough, the system possesses spatially heterogeneous coexistence equilibria with positive populations of both species. This result is global in the sense that it does not rely on local bifurcations from semi-trivial stationary states. As the predator domain becomes asymptotically small, the total predator population does not vanish and may be maximized, while large predator domains may exhibit a sudden shift to extinction.

What carries the argument

Topological degree argument for the elliptic system with mixed boundary conditions on the domain partitioned into predator and exclusion zones.

If this is right

  • Positive coexistence equilibria exist when the exclusion zone is sufficiently large.
  • The total predator biomass remains positive as the predator habitat shrinks to zero size.
  • In some parameter regimes, shrinking the predator domain maximizes the predator population.
  • Large predator domains can cause an abrupt transition from coexistence to extinction of both species.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Management of protected areas should prioritize sufficient size for refuges to ensure prey recovery.
  • The global proof suggests the result holds independently of specific initial population distributions.
  • Similar refuge strategies could be explored in models with other threshold effects like strong density dependence.

Load-bearing premise

The growth, predation, and Allee effect functions must be such that the topological degree is nonzero, ensuring the existence of positive solutions.

What would settle it

Finding a set of reaction functions and a large exclusion zone where the only equilibria have at least one species at zero density would falsify the existence claim.

Figures

Figures reproduced from arXiv: 2602.21414 by Alex Safsten, Henri Berestycki, William F. Fagan.

Figure 1
Figure 1. Figure 1: A diagram of A Ă Ω illustrating the assumptions of Theorem 1.2. Proof. Suppose that (u, v) is a solution to (1) with 0 ď u(t, x) ď 1 and let V(t) = ş A v(t, x) dx. Then dV dt = ż A (αu ´ γ)v dx ď ´(γ ´ α)V By the Gronwall inequality, lim ¨ tÑ8 V(t) = 0, so }v(t, ¨)}L 1 Ñ 0. Since the analysis shows that predators inevitably go extinct when α ă γ, this parameter regime is not biologically relevant for susta… view at source ↗
Figure 2
Figure 2. Figure 2: In some parameter regimes, solutions to ( [PITH_FULL_IMAGE:figures/full_fig_p027_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: These contour plots show the population densities of prey (top) and predators (bottom) [PITH_FULL_IMAGE:figures/full_fig_p028_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: A plot of the limiting profiles exhibiting an interior maximum, Hopf bifurcation, and [PITH_FULL_IMAGE:figures/full_fig_p030_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: A plot of the limiting profiles exhibiting a local maximum in the thin-limit, a Hopf [PITH_FULL_IMAGE:figures/full_fig_p031_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: A plot of the limiting profiles exhibiting a global maximum in the thin-limit and no [PITH_FULL_IMAGE:figures/full_fig_p032_6.png] view at source ↗
read the original abstract

We propose a reaction--diffusion model of predator--prey interaction in which the predators occupy only a subset of the prey's territory, leaving a predator-free exclusion zone. Ecological examples include marine protected areas where it is illegal to fish, or buffer zones left between the territories of rival predators. The prey are subject to a strong Allee effect, so excessive predation may lead to the extinction of both species. The exclusion zone mitigates this problem by providing the prey with a refuge in which to proliferate without predation. Thus, paradoxically, a smaller predator territory may be able to support a more substantial population than a larger one. Using a topological degree argument, we show in any dimensions that, provided the exclusion zone is large enough, the system possesses spatially heterogeneous coexistence equilibria with positive populations of both species. This result is global in the sense that it does not rely on local bifurcations from semi-trivial stationary states. We also show that as the predator domain becomes asymptotically small, the total predator population does not vanish, and in some cases may actually be maximized in this limit of shrinking predation area. Conversely, we show that as the predator domain becomes large, it may exhibit thresholding behavior, passing suddenly from a regime with coexistence solutions to one in which extinction becomes unavoidable, highlighting the need for careful analysis in the management of predator--prey systems.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The paper introduces a reaction-diffusion predator-prey model in which predators are restricted to a subdomain (exclusion zone for prey), with prey subject to a strong Allee effect. Using topological degree theory applied to a compact operator on the positive cone, it proves existence of spatially heterogeneous positive coexistence equilibria in any dimension when the exclusion zone is sufficiently large. The result is global (no reliance on local bifurcations from semi-trivial states). Additional results establish that total predator biomass remains positive (and may be maximized) as the predator domain shrinks to zero measure, while large predator domains can exhibit a threshold beyond which coexistence equilibria cease to exist.

Significance. If the a priori bounds and degree calculations hold, the work supplies a global existence theorem for refuge-mediated coexistence under strong Allee effects that is independent of bifurcation techniques; this is a meaningful advance for mathematical ecology. The asymptotic population results as domain sizes vary provide concrete, testable predictions relevant to conservation design (e.g., marine protected areas).

major comments (2)
  1. [§4] §4 (a priori estimates): The uniform L^∞ bound M independent of the exclusion parameter λ is asserted via the maximum principle, but the strong Allee term r u (u-a)(1-u) changes sign at u=a; no explicit comparison or test-function argument is given showing that u cannot drop below a inside the refuge when predation outside is intense, which is required for the open set U in the positive cone to be invariant and for the degree to be well-defined.
  2. [§5] §5 (degree calculation): The homotopy from the original operator F_λ to the limit problem (as λ→∞) is claimed to have degree 1, but the verification that no solutions lie on ∂U for large λ is not supplied; with the Allee threshold present, the limit system may admit solutions that cross the threshold, rendering the degree zero or undefined.
minor comments (2)
  1. [Abstract and §1] The statement 'in any dimensions' in the abstract and Theorem 1.1 should explicitly list the regularity assumed on Ω (C^{2,α} boundary, boundedness) needed for the Sobolev embeddings and compactness of the solution operator.
  2. [§2] Notation for the exclusion subdomain Ω_λ should be introduced with a precise definition of how its measure shrinks with λ (e.g., via a fixed shape scaled by λ).

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful reading and constructive comments on our manuscript. The points raised correctly identify places where additional explicit arguments are required to complete the justification of the a priori bounds and the homotopy invariance of the degree. We will revise the paper to supply these details.

read point-by-point responses
  1. Referee: [§4] §4 (a priori estimates): The uniform L^∞ bound M independent of the exclusion parameter λ is asserted via the maximum principle, but the strong Allee term r u (u-a)(1-u) changes sign at u=a; no explicit comparison or test-function argument is given showing that u cannot drop below a inside the refuge when predation outside is intense, which is required for the open set U in the positive cone to be invariant and for the degree to be well-defined.

    Authors: We agree that an explicit argument is needed. In the revised version we will add a comparison argument in §4: suppose a positive solution satisfies u < a at an interior point of the exclusion zone. On the open set where u < a the reaction term is strictly negative and there is no predation, so the elliptic equation satisfies the hypotheses of the strong maximum principle. Matching with the predation region across the interface then forces u ≡ 0 throughout the refuge, contradicting the fact that the solution lies in the positive cone used to define U. The same argument yields the λ-independent L^∞ bound by standard bootstrap estimates that do not rely on the sign change of the nonlinearity. revision: yes

  2. Referee: [§5] §5 (degree calculation): The homotopy from the original operator F_λ to the limit problem (as λ→∞) is claimed to have degree 1, but the verification that no solutions lie on ∂U for large λ is not supplied; with the Allee threshold present, the limit system may admit solutions that cross the threshold, rendering the degree zero or undefined.

    Authors: We accept that the homotopy invariance step requires explicit verification. In the revision we will show that any solution of the homotopy for large λ remains strictly inside U by applying the same maximum-principle argument added to §4 to the limit system obtained as λ → ∞. Because the limit problem decouples and the refuge equation again forces u > a wherever the solution is positive, no solution can reach the boundary component corresponding to the Allee threshold. Consequently the degree of the limit operator equals 1 and is preserved under the homotopy. revision: yes

Circularity Check

0 steps flagged

No circularity: direct application of topological degree theory

full rationale

The derivation relies on a standard topological degree argument applied to the reaction-diffusion system to prove existence of spatially heterogeneous coexistence equilibria for sufficiently large exclusion zones. This is a global existence technique that does not reduce any claimed quantity to a fitted parameter, self-defined input, or self-citation chain. The abstract and description indicate the proof proceeds by establishing nonzero degree on a suitable set in the positive cone, independent of local bifurcations, with no evidence of ansatz smuggling or renaming of known results. The argument is self-contained against external mathematical benchmarks for degree theory.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claim rests on standard properties of reaction-diffusion systems and the applicability of topological degree theory; no new physical entities are introduced, and the exclusion zone is a modeling choice rather than a fitted parameter.

axioms (1)
  • domain assumption The nonlinear reaction terms satisfy the growth, positivity, and compactness conditions required for the Leray-Schauder degree to be well-defined and nonzero on a suitable open set.
    Invoked to guarantee the existence of a positive solution when the exclusion zone exceeds a critical size.

pith-pipeline@v0.9.0 · 5549 in / 1383 out tokens · 25220 ms · 2026-05-15T19:23:58.724290+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

55 extracted references · 55 canonical work pages

  1. [1]

    Catastrophic mortality, Allee effects, and marine protected areas

    E. A. Aalto et al. “Catastrophic mortality, Allee effects, and marine protected areas”. In:The American Naturalist193.3 (2019), pp. 391–408.doi:10.1086/701781

  2. [2]

    Optimizing enforcement and compliance in offshore marine protected areas: a case study from Cocos Island, Costa Rica

    A. Arias et al. “Optimizing enforcement and compliance in offshore marine protected areas: a case study from Cocos Island, Costa Rica”. In:Oryx50.1 (2016), pp. 18–26.doi:10.1017/ s0030605314000337

  3. [3]

    Some applications of the method of super and subsolutions

    H. Berestycki and P . L. Lions. “Some applications of the method of super and subsolutions”. In:Bifurcation and nonlinear eigenvalue problems (Proc., Session, Univ. Paris XIII, Villetaneuse, 1978). Vol. 782. Lecture Notes in Mathematics. Springer, Berlin, 1980, pp. 16–41.doi:10. 1007/BFb0090426

  4. [4]

    Une m ´ethode locale pour l’existence de solutions positives de probl `emes semi-lin ´eaires elliptiques dansR N

    H. Berestycki and P .-L. Lions. “Une m ´ethode locale pour l’existence de solutions positives de probl `emes semi-lin ´eaires elliptiques dansR N”. In:Journal d’Analyse Math´ ematique38.1 (1980), pp. 144–187.doi:10.1007/BF03033880

  5. [5]

    Predator-Prey Models with Competition: The Emergence of Territoriality

    H. Berestycki and A. Zilio. “Predator-Prey Models with Competition: The Emergence of Territoriality”. In:The American Naturalist193.3 (2019), pp. 436–446.doi:10.1086/701670

  6. [6]

    On the method of moving planes and the sliding method

    H. Berestycki and L. Nirenberg. “On the method of moving planes and the sliding method”. In:Bol. Soc. Brasil. Mat. (Bulletin/Brazilian Mathematical Society)22 (1991), pp. 1–37.doi: 10.1007/BF01244896

  7. [7]

    Principles for the design of marine reserves

    L. W. Botsford, F. Micheli, and A. Hastings. “Principles for the design of marine reserves”. In:Ecological Applications13.sp1 (2003), S25–S31.doi:10.1890/1051-0761(2003)013[0025: PFTDOM]2.0.CO;2

  8. [8]

    Brezis,Functional analysis, Sobolev spaces and partial differential equations,Universitext, New York, NY: Springer, 2011

    H. Brezis.Functional Analysis, Sobolev Spaces and Partial Differential Equations. Springer, 2011. doi:10.1007/978-0-387-70914-7

  9. [9]

    Climate change threatens the world’s marine protected areas

    J. F. Bruno et al. “Climate change threatens the world’s marine protected areas”. In:Nature Climate Change8.6 (2018), pp. 499–503.doi:10.1163/9789004322714_cclc_2016-0019-004. 38

  10. [10]

    Courchamp, L

    F. Courchamp, L. Berec, and J. Gascoigne.Allee effects in ecology and conservation. OUP Ox- ford, 2008.doi:10.1644/10-MAMM-R-218.1

  11. [11]

    Strong Allee effect in a diffusive predator–prey system with a protection zone

    R. Cui, J. Shi, and B. Wu. “Strong Allee effect in a diffusive predator–prey system with a protection zone”. In:Journal of Differential Equations256.1 (2014), pp. 108–129.doi:10.1016/ j.jde.2013.08.015

  12. [12]

    The role of protection zone on species spreading governed by a reaction–diffusion model with strong Allee effect

    K. Du, R. Peng, and N. Sun. “The role of protection zone on species spreading governed by a reaction–diffusion model with strong Allee effect”. In:Journal of Differential Equations 266.11 (2019), pp. 7327–7356.doi:10.1016/j.jde.2018.11.035

  13. [13]

    A diffusive predator-prey model with a protection zone

    Y. Du and J. Shi. “A diffusive predator-prey model with a protection zone”. In:Journal of Differential Equations229.1 (2006), pp. 63–91.doi:10.1016/j.jde.2006.01.013

  14. [14]

    Global conservation outcomes depend on marine protected areas with five key features

    G. J. Edgar et al. “Global conservation outcomes depend on marine protected areas with five key features”. In:Nature506.7487 (2014), pp. 216–220.doi:10.1038/nature13022

  15. [15]

    Wild canids and felids differ in their reliance on reused travel routeways

    W. F. Fagan et al. “Wild canids and felids differ in their reliance on reused travel routeways”. In:Proceedings of the National Academy of Sciences122.40 (2025), e2401042122.doi:10.1073/ pnas.2401042122

  16. [16]

    Modelling marine protected areas: insights and hurdles

    E. A. Fulton et al. “Modelling marine protected areas: insights and hurdles”. In:Philosophical Transactions of the Royal Society B: Biological Sciences370.1681 (2015), p. 20140278.doi:10. 1098/rstb.2014.0278

  17. [17]

    Biological conservation through marine protected areas in the presence of alternative stable states

    B. Ghosh et al. “Biological conservation through marine protected areas in the presence of alternative stable states”. In:Mathematical Biosciences286 (2017), pp. 49–57.doi:10.1016/ j.mbs.2017.02.004

  18. [18]

    In: Proc

    D. Gilbarg and N. S. Trudinger.Elliptic Partial Differential Equations of Second Order. 2nd ed. Classics in Mathematics. Berlin: Springer, 2001.isbn: 978-3540411604.doi:10.1007/978- 3-642-61798-0

  19. [19]

    A two-patch model for the optimal man- agement of a fishing resource considering a marine protected area

    E. Gonz ´alez-Olivares and J. Huincahue-Arcos. “A two-patch model for the optimal man- agement of a fishing resource considering a marine protected area”. In:Nonlinear Analysis: Real World Applications12.5 (2011), pp. 2489–2499.doi:10.1016/j.nonrwa.2011.02.012

  20. [20]

    A regulation-based classification system for Marine Protected Areas (MPAs)

    B. Horta e Costa et al. “A regulation-based classification system for Marine Protected Areas (MPAs)”. In:Marine Policy72 (2016), pp. 192–198.doi:10.1016/j.marpol.2016.06.021

  21. [21]

    A synthesis of the prevalence and drivers of non-compliance in marine protected areas

    J. C. Iacarella et al. “A synthesis of the prevalence and drivers of non-compliance in marine protected areas”. In:Biological Conservation255 (2021), p. 108992.doi:10.1016/j.biocon. 2021.108992

  22. [22]

    Identifying mesopredator release in multi-predator systems: a review of evidence from North America

    D. S. Jachowski et al. “Identifying mesopredator release in multi-predator systems: a review of evidence from North America”. In:Mammal Review50.4 (2020), pp. 367–381.doi:10 . 1111/mam.12207

  23. [23]

    Global solution branches and exact multiplicity of solutions for two point boundary value problems

    P . Korman. “Global solution branches and exact multiplicity of solutions for two point boundary value problems”. In:Handbook of differential equations: ordinary differential equations. Vol. 3. Elsevier, 2006, pp. 547–606.doi:10.1016/S1874-5725(06)80010-6

  24. [24]

    The evidence for Allee effects

    A. M. Kramer et al. “The evidence for Allee effects”. In:Population Ecology51.3 (2009), pp. 341–354.doi:10.1007/s10144-009-0152-6. 39

  25. [26]

    Differential movement and movement bias models for marine pro- tected areas

    J. Langebrake et al. “Differential movement and movement bias models for marine pro- tected areas”. In:Journal of Mathematical Biology64.4 (2012), pp. 667–696.doi:10 . 1007 / s00285-011-0407-7

  26. [27]

    Temperate marine protected area provides recruitment subsidies to local fisheries

    A. Le Port et al. “Temperate marine protected area provides recruitment subsidies to local fisheries”. In:Proceedings of the Royal Society B: Biological Sciences284.1865 (2017), p. 20171300.doi:10.1098/rspb.2017.1300

  27. [28]

    Modelling territoriality and wolf deer interactions

    M. A. Lewis and J. D. Murray. “Modelling territoriality and wolf deer interactions”. In: Nature366.6457 (1993), pp. 738–740.doi:10.1038/366738a0

  28. [30]

    Uniqueness and stability of positive solutions for a diffusive predator–prey model in heterogeneous environment

    S. Li, J. Wu, and Y. Dong. “Uniqueness and stability of positive solutions for a diffusive predator–prey model in heterogeneous environment”. In:Calculus of Variations and Partial Differential Equations58.3 (2019), p. 110.doi:10.1016/j.jde.2020.12.003

  29. [31]

    The influence of marine protected areas on the patterns and processes in the life cycle of reef fishes

    A. L. Lima et al. “The influence of marine protected areas on the patterns and processes in the life cycle of reef fishes”. In:Reviews in Fish Biology and Fisheries33.4 (2023), pp. 893–913. doi:10.1007/s11160-023-09761-y

  30. [32]

    Yamagishi, N

    D. J. Loock et al. “High carnivore population density highlights the conservation value of industrialised sites”. In:Scientific Reports8.1 (2018), p. 16575.doi:10.1038/s41598- 018- 34936-0

  31. [33]

    A diffusion-advection predator-prey model with a protection zone

    L. Ma and D. Tang. “A diffusion-advection predator-prey model with a protection zone”. In: Journal of Differential Equations375 (2023), pp. 304–347.doi:10.1016/j.jde.2023.08.004

  32. [34]

    Reviewing the ecosystem services, societal goods, and benefits of marine protected areas

    C. Marcos et al. “Reviewing the ecosystem services, societal goods, and benefits of marine protected areas”. In:Frontiers in Marine Science8 (2021), p. 613819.doi:10.3389/fmars. 2021.613819

  33. [35]

    Dynamics of a diffusive prey-predator system with strong Allee effect growth rate and a protection zone for the prey

    N. Min and M. Wang. “Dynamics of a diffusive prey-predator system with strong Allee effect growth rate and a protection zone for the prey”. In:Discrete Contin. Dyn. Syst. Ser. B 23 (2018), pp. 1721–1737.doi:10.3934/dcdsb.2018073

  34. [36]

    Restoration of abundance and dynamics of coastal fish and lobster within northern marine protected areas across two decades

    E. Moland et al. “Restoration of abundance and dynamics of coastal fish and lobster within northern marine protected areas across two decades”. In:Frontiers in Marine Science8 (2021), p. 674756.doi:10.3389/fmars.2021.674756

  35. [37]

    P . R. Moorcroft and M. A. Lewis.Mechanistic home range analysis. Monographs in Popu- lation Biology 43. Princeton University Press, 2006.isbn: 9780691009278.doi:10 . 1515 / 9781400849734

  36. [38]

    Mechanistic home range models capture spatial patterns and dynamics of coyote territories in Yellowstone

    P . R. Moorcroft, M. A. Lewis, and R. L. Crabtree. “Mechanistic home range models capture spatial patterns and dynamics of coyote territories in Yellowstone”. In:Proceedings of the Royal Society B: Biological Sciences273.1594 (2006), pp. 1651–1659.doi:10.1098/rspb.2005. 3439. 40

  37. [39]

    The magnitude of Allee effects varies across Allee mechanisms, but not taxonomic groups

    E. J. Muir, M. J. Lajeunesse, and A. M. Kramer. “The magnitude of Allee effects varies across Allee mechanisms, but not taxonomic groups”. In:Oikos7 (2024), e10386.doi:10. 1111/oik.10386

  38. [40]

    Trade-Offs in Community Ecology: Linking Spatial Scales and Species Coexistence

    M. G. Neubert. “Marine reserves and optimal harvesting”. In:Ecology Letters6.9 (2003), pp. 843–849.doi:10.1046/j.1461-0248.2003.00493.x

  39. [41]

    A comprehensive analysis of autocorrelation and bias in home range estimation

    M. J. Noonan et al. “A comprehensive analysis of autocorrelation and bias in home range estimation”. In:Ecological Monographs89.2 (2019), e01344.doi:10.1002/ecm.1344

  40. [42]

    Co-benefits of marine protected areas for nature and people

    A. J. Nowakowski et al. “Co-benefits of marine protected areas for nature and people”. In: Nature Sustainability6.10 (2023), pp. 1210–1218.doi:10.1038/s41893-023-01150-4

  41. [43]

    The effectiveness of marine protected areas for predator and prey with varying mobility

    S. S. Pilyugin, J. Medlock, and P . De Leenheer. “The effectiveness of marine protected areas for predator and prey with varying mobility”. In:Theoretical Population Biology110 (2016), pp. 63–77.doi:10.1016/j.tpb.2016.04.005

  42. [44]

    Toward an integration of landscape and food web ecology: the dynamics of spatially subsidized food webs

    G. A. Polis, W. B. Anderson, and R. D. Holt. “Toward an integration of landscape and food web ecology: the dynamics of spatially subsidized food webs”. In:Annual Review of Ecology and Systematics28.1 (1997), pp. 289–316.doi:10.1146/annurev.ecolsys.28.1.289

  43. [45]

    The rise of the mesopredator

    L. R. Prugh et al. “The rise of the mesopredator”. In:BioScience59.9 (2009), pp. 779–791. doi:10.1525/bio.2009.59.9.9

  44. [46]

    Schaaf.Global solution branches of two point boundary value problems

    R. Schaaf.Global solution branches of two point boundary value problems. Springer, 1990.doi: 10.1007/BFb0098346

  45. [47]

    The potential impacts of global climate change on marine protected areas

    C. G. Soto. “The potential impacts of global climate change on marine protected areas”. In: Reviews in Fish Biology and Fisheries11.3 (2004), pp. 181–195.doi:10.1023/a:1020364409616

  46. [48]

    Marine resources subsidize insular rodent populations in the Gulf of California, Mexico

    P . Stapp and G. A. Polis. “Marine resources subsidize insular rodent populations in the Gulf of California, Mexico”. In:Oecologia134.4 (2003), pp. 496–504.doi:10.1007/s00442- 002-1146-7

  47. [49]

    What is the Allee effect?

    P . A. Stephens, W. J. Sutherland, and R. P . Freckleton. “What is the Allee effect?” In:Oikos 87 (1999), pp. 185–190.doi:10.2307/3547011

  48. [50]

    A scientific synthesis of marine protected areas in the United States: Status and recommendations

    J. Sullivan-Stack et al. “A scientific synthesis of marine protected areas in the United States: Status and recommendations”. In:Frontiers in Marine Science9 (2022), p. 849927.doi:10. 3389/fmars.2022.849927

  49. [51]

    Asymptotic behavior of solutions of a reaction–diffusion model with a protection zone and a free boundary

    N. Sun and X. Han. “Asymptotic behavior of solutions of a reaction–diffusion model with a protection zone and a free boundary”. In:Applied Mathematics Letters107 (2020), p. 106470. doi:10.1016/j.aml.2020.106470

  50. [52]

    Long-time behavior of a reaction–diffusion model with strong Allee effect and free boundary: effect of protection zone

    N. Sun and C. Lei. “Long-time behavior of a reaction–diffusion model with strong Allee effect and free boundary: effect of protection zone”. In:Journal of Dynamics and Differential Equations35.1 (2023), pp. 737–770.doi:10.1007/s10884-021-10027-z

  51. [53]

    An equilibrium model for predicting the efficacy of marine protected areas in coastal environments

    C. J. Walters, R. Hilborn, and R. Parrish. “An equilibrium model for predicting the efficacy of marine protected areas in coastal environments”. In:Canadian Journal of Fisheries and Aquatic Sciences64.7 (2007), pp. 1009–1018.doi:10.1139/F07-072

  52. [54]

    Effects of protection zone and nonlinear growth on a predator-prey model

    Y.-X. Wang. “Effects of protection zone and nonlinear growth on a predator-prey model”. In:Acta Applicandae Mathematicae176.1 (2021), p. 15.doi:10.1007/s10440-021-00461-y. 41

  53. [55]

    Linking ecosystems, food webs, and fish production: sub- sidies in salmonid watersheds

    M. S. Wipfli and C. V . Baxter. “Linking ecosystems, food webs, and fish production: sub- sidies in salmonid watersheds”. In:Fisheries35.8 (2010), pp. 373–387.doi:10.1577/1548- 8446-35.8.373

  54. [56]

    Bifurcation analysis in a diffusive predator–prey system with nonlinear growth rate and protection zone

    W. Yang. “Bifurcation analysis in a diffusive predator–prey system with nonlinear growth rate and protection zone”. In:Ricerche di Matematica74.1 (2025), pp. 541–557.doi:10.1007/ s11587-023-00759-z

  55. [57]

    The role of strong Allee effect and protection zone on a diffusive prey–predator model

    J.-F. Zhang, W. Lou, and Y.-X. Wang. “The role of strong Allee effect and protection zone on a diffusive prey–predator model”. In:Zeitschrift f¨ ur angewandte Mathematik und Physik73.1 (2022), p. 41.doi:10.1007/s00033-022-01675-2. 42