A spatially heterogeneous predator-prey model

Julián López-Gómez; Eduardo Muñoz-Hernández

doi:10.3934/dcdsb.2020081

Article Contents

2021, Volume 26, Issue 4: 2085-2113. Doi: 10.3934/dcdsb.2020081

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A spatially heterogeneous predator-prey model

Instituto de Matemática Interdisciplinar (IMI), Departamento de Análisis Matemático y Matemática Aplicada, Universidad Complutense de Madrid, Madrid, 28040, Spain

^* Corresponding author
^* Corresponding author

Received: March 31, 2019

Early access: January 2020

Published: April 2021

This paper has been supported by the IMI of the Complutense University of Madrid and the Ministry of Science and Universities of Spain under Research Grant PGC2018-097104-B-100. The second author, ORCID: 0000-0003-1184-6231, has been also supported by contract CT42/18-CT43/18 of Complutense University of Madrid

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Abstract

This paper introduces a spatially heterogeneous diffusive predator–prey model unifying the classical Lotka–Volterra and Holling–Tanner ones through a prey saturation coefficient, $ m(x) $, which is spatially heterogenous and it is allowed to 'degenerate'. Thus, in some patches of the territory the species can interact according to a Lotka–Volterra kinetics, while in others the prey saturation effects play a significant role on the dynamics of the species. As we are working under general mixed boundary conditions of non-classical type, we must invoke to some very recent technical devices to get some of the main results of this paper.

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Mathematics Subject Classification: Primary: 35J57, 35Q92, 35A16.

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Figure 1. Stability of the semitrivial solutions

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Figure 2. Stability of $ (0, 0) $

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Figure 3. An admissible component $ \mathfrak{C} $

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Figure 4. By Theorem 5.1, (5) admits a coexistence state for each $ (\lambda, \mu) $ in the green region, while it cannot admit a coexistence state in the white one. Within the yellow region, (5) might admit, or not, a coexistence state as it will become apparent later

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Figure 5. The coexistence wedges of Figure 4 when $ \mathrm{Int\, }m^{-1}(0)\neq \emptyset $

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References

[1]	D. Aleja, I. Antón and J. López-Gómez, Global structure of the periodic-positive solutions for a general class of periodic-parabolic logistic equations with indefinite weights, Submitted.
[2]	H. Amann and J. López-Gómez, A priori bounds and multiple solutions for superlinear indefinite elliptic problems, J. Diff. Eqns., 146 (1998), 336-374. doi: 10.1006/jdeq.1998.3440.
[3]	H. Berestycki, L. Nirenberg and S. R. S. Varadhan, The principal eigenvalue and maximum principle for second order elliptic operators in general domains, Comm. Pure Appl. Maths., 47 (1994), 72-92. doi: 10.1002/cpa.3160470105.
[4]	S. Cano-Casanova and J. López-Gómez, Properties of the principal eigenvalues of a general class of non-classical mixed boundary value problems, J. Diff. Eqns., 178 (2002), 123-211. doi: 10.1006/jdeq.2000.4003.
[5]	A. Casal, C. Eilbeck and J. López-Gómez, Existence and uniqueness of coexistence states for a predator-prey model with diffusion, Diff. Int. Eqns., 7 (1994), 411-439.
[6]	M. G. Crandall and P. H. Rabinowitz, Bifurcation from simple eigenvalues, J. Funct. Anal., 8 (1971), 321-340. doi: 10.1016/0022-1236(71)90015-2.
[7]	M. G. Crandall and P. H. Rabinowitz, Bifurcation, perturbation of simple eigenvalues and linearized stability, Arch. Rat. Mech. Anal., 52 (1973), 161-180. doi: 10.1007/BF00282325.
[8]	E. N. Dancer, J. López-Gómez and R. Ortega, On the spectrum of some linear noncooperative elliptic systems with radial symmetry, Diff. Int. Eqns., 8 (1995), 515-523.
[9]	D. Daners and J. López-Gómez, Global dynamics of generalized logistic equations, Adv. Nonl. Studies, 18 (2018), 217-236.
[10]	Y. Du and S. B. Hsu, A diffusive predator-prey model in heterogeneous environment, J. Diff. Eqns., 203 (2004), 331-364. doi: 10.1016/j.jde.2004.05.010.
[11]	Y. Du and Y. Lou, Some uniqueness and exact multiplicity results for a predator-prey model, Trans. Amer. math. Soc., 349 (1997), 2443-2475.
[12]	Y. Du and Y. Lou, $S$-shaped global bifurcation curve and Hopf bifurcation of positive solutions to a predator-prey model, J. Diff. Eqns., 144 (1998), 390-440. doi: 10.1006/jdeq.1997.3394.
[13]	Y. Du and J. P. Shi, A diffusive predator-prey model with a protection zone, J. Diff. Eqns., 229 (2006), 63-91. doi: 10.1016/j.jde.2006.01.013.
[14]	Y. Du and J. P. Shi, Allee effect and bistability in a spatially heterogeneous predator-prey model, Trans. Amer. Math. Soc., 359 (2007), 4557-4593. doi: 10.1090/S0002-9947-07-04262-6.
[15]	X. Feng, Y. Song and X. An, Dynamic behavior analysis of a prey-predator model with ratio-dependent Monod–Haldane functional response, Open Math., 16 (2018), 623-635.
[16]	S. Fernández-Rincón and J. López-Gómez, The singular perturbation problem for a class of generalized logistic equations under non-classical mixed boundary conditions, Adv. Nonl. Studies, 19 (2019), 1-27.
[17]	J. M. Fraile, P. Koch Medina, J. López-Gómez and S. Merino, Elliptic eigenvalue problems and unbounded continua of positive solutions of a semilinear elliptic equation, J. Diff. Eqns., 127 (1995), 295-319. doi: 10.1006/jdeq.1996.0071.
[18]	H. Freedman, Deterministic Mathematical Models in Population Biology, Marcel and Dekker, New York, 1980.
[19]	G. Guo and J. Wu, Multiplicity and uniqueness of positive solutions for a predator-prey model with B-D functional response, Nonl. Anal., 72 (2010), 1632-1646. doi: 10.1016/j.na.2009.09.003.
[20]	G. Guo and J. Wu, The effect of mutual interference between predators on a predator-prey model with diffusion, J. Math. Anal. Appl., 389 (2012), 179-194. doi: 10.1016/j.jmaa.2011.11.044.
[21]	S. B. Hsu, On global stability of a predator-prey system, Math. Biosc., 39 (1978), 1-10. doi: 10.1016/0025-5564(78)90025-1.
[22]	S. B. Hsu and T. W. Hwang, Global stability for a class of predator-prey systems, SIAM J. Appl. Math., 55 (1995), 763-783. doi: 10.1137/S0036139993253201.
[23]	Y. Jia, J. Wu and H. K. Xu, Spatial pattern in an ecosystem of phytoplankton-nutrient from remote sensing, J. Math. Anal. Appl., 402 (2013), 23-34. doi: 10.1016/j.jmaa.2012.12.071.
[24]	H. Jiang and L. Wang, Analysis of steady-state for variable territory model with limited self-limitation, Acta Appl. Math., 148 (2017), 103-120. doi: 10.1007/s10440-016-0080-3.
[25]	W. Ko and K. Ryu, Qualitative analysis of a predator-prey model with Holling type Ⅱ functional response incorporating a prey refuge, J. Diff. Eqns., 231 (2006), 534-550. doi: 10.1016/j.jde.2006.08.001.
[26]	W. Ko and K. Ryu, Coexistence states of a predator-prey system with non-monotonic functional response, Nonl. Anal. RWA, 8 (2007), 769-786. doi: 10.1016/j.nonrwa.2006.03.003.
[27]	W. Ko and K. Ryu, A qualitative study on general Gause-type predator-prey models with constant diffusion rates, J. Math. Anal. Appns., 344 (2008), 217-230. doi: 10.1016/j.jmaa.2008.03.006.
[28]	S. Li, J. Wu and Y. Dong, Effects of degeneracy and response in a diffusion predator-prey model, Nonlinearity, 31 (2018), 1461-1483. doi: 10.1088/1361-6544/aaa2de.
[29]	S. Li, J. Wu and Y. Dong, Effects of degeneracy in a diffusion predator-prey model with Holling type-Ⅱ functional response, Nonl. Anal. RWA, 43 (2018), 78-95. doi: 10.1016/j.nonrwa.2018.02.003.
[30]	J. López-Gómez, Positive periodic solutions of Lotka–Volterra reaction-diffusion systems, Diff. Int. Eqns., 5 (1992), 55-72.
[31]	J. López-Gómez, Nonlinear eigenvalues and global bifurcation. Application to the search of positive solutions for general Lotka-Volterra Reaction-Diffusion systems with two species, Diff. Int. Eqns., 7 (1994), 1427-1452.
[32]	J. López-Gómez, A bridge between operator theory and mathematical biology, Fields Inst. Comm., 25 (2000), 383-397.
[33]	J. López-Gómez, Spectral Theory and Nonlinear Functional Analysis, Research Notes in Mathematics 426, Chapman & Hall/CRC Press, Boca Raton, FL, 2001. doi: 10.1201/9781420035506.
[34]	J. López-Gómez, Classifying smooth supersolutions for a general class of elliptic boundary value problems, Adv. Diff. Eqns., 8 (2003), 1025-1042.
[35]	J. López-Gómez, Linear Second Order Elliptic Operators, World Scientific, Singapore, 2013. doi: 10.1142/8664.
[36]	J. López-Gómez, Metasolutions of Parabolic Equations in Population Dynamics, CRC Press, Boca Raton, 2016.
[37]	J. López-Gómez and M. Molina-Meyer, The maximum principle for cooperative weakly elliptic systems and some applications, Diff. Int. Eqns, 7 (1994), 383-398.
[38]	J. López-Gómez and E. Muñoz-Hernández, Global structure of subharmonics in a class of periodic predator-prey models, Nonlinearity, 33 (2020), 34-71.
[39]	J. López-Gómez and R. M. Pardo, Coexistence regions in Lotka-Volterra systems with diffusion, Nonl. Anal., 19 (1992), 11-28. doi: 10.1016/0362-546X(92)90027-C.
[40]	J. López-Gómez and R. M. Pardo, The existence and the uniqueness for the predator-prey model with diffusion, Diff. Int. Eqns., 6 (1993), 1025-1031.
[41]	J. López-Gómez and R. M. Pardo, Invertibility of linear noncooperative elliptic systems, Nonl. Anal., 31 (1998), 687-699. doi: 10.1016/S0362-546X(97)00640-8.
[42]	J. López-Gómez, A bridge between operator theory and mathematical biology, Fields Inst. Comm., 25 (2000), 383-397.
[43]	R. May, Stability and Complexity in Model Ecosystems, Princeton University Press, Princeton, 1974.
[44]	H. Nie and J. Wu, Multiplicity and stability of a predator-prey model with non-monotonic conversion rate, Nonl. Anal. RWA, 10 (2009), 154-171. doi: 10.1016/j.nonrwa.2007.08.020.
[45]	P. Y. H. Pang and M. Wang, Qualitative analysis of a ratio-dependent predator-prey system with diffusion, Proc. Royal Soc. Edinburgh, 133 (2003), 919-942. doi: 10.1017/S0308210500002742.
[46]	P. Y. H. Pang and M. Wang, Non-constant positive steady-states of a predator-prey system with non-monotonic functional response and diffusion, Proc. London Math. Soc., 88 (2004), 135-157. doi: 10.1112/S0024611503014321.
[47]	R. Peng, M. X. Wang and W. Y. Chen, Positive steady-states of a predator-prey model with diffusion and non-monotonic conversion rate, Acta Math. Sinica, 23 (2007), 749-760. doi: 10.1007/s10114-005-0789-9.
[48]	K. Ryu and I. Ahn, Positive solutions for ratio-dependent predator-prey interaction systems, J. Diff. Eqns., 218 (2005), 117-135. doi: 10.1016/j.jde.2005.06.020.
[49]	M. X. Wang and Q. Wu, Positive solutions fo a predator-prey model with predator saturation and competition, J. Math. Anal. Appl., 345 (2008), 708-718. doi: 10.1016/j.jmaa.2008.04.054.
[50]	H. Yuan, J. Wu, Y. Jia and H. Nie, Coexistence states of a predator-prey model with cross-diffusion, Nonl. Anal. RWA, 41 (2018), 179-203. doi: 10.1016/j.nonrwa.2017.10.009.
[51]	X. Zeng, W. Zeng and L. Liu, Effects of the protection zone on coexistence of the species for a ratio-dependent predator-prey model, J. Math. Anal. Appl., 462 (2018), 1605-1626. doi: 10.1016/j.jmaa.2018.02.060.
[52]	J. Zhou and C. Mu, Coexistence states of a Holling type-Ⅱ predator-prey system, J. Math. Anal. Appl., 369 (2010), 555-563. doi: 10.1016/j.jmaa.2010.04.001.
[53]	J. Zhou and C. Mu, Coexistence of a diffusive predator-prey model with Holling-type Ⅱ functional response and density dependent mortality, J. Math. Anal. Appl., 385 (2012), 913-927. doi: 10.1016/j.jmaa.2011.07.027.
[54]	J. Zhou and J. P. Shi, The existence, bifurcation and stability of positive stationary solutions of a diffusive Leslie–Gower predator-prey model with Holling type-Ⅱ functional responses, J. Math. Anal. Appl., 405 (2013), 618-630. doi: 10.1016/j.jmaa.2013.03.064.