<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-08T02:39:56Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/7282" metadataPrefix="qdc">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/7282</identifier><datestamp>2023-08-25T15:25:19Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_15</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>A spatially heterogeneous predator-prey model</dc:title>
   <dc:creator>López Gómez, Julián</dc:creator>
   <dc:creator>Muñoz Hernández, Eduardo</dc:creator>
   <dcterms: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.</dcterms:abstract>
   <dcterms:dateAccepted>2023-06-17T08:29:38Z</dcterms:dateAccepted>
   <dcterms:available>2023-06-17T08:29:38Z</dcterms:available>
   <dcterms:created>2023-06-17T08:29:38Z</dcterms:created>
   <dcterms:issued>2021</dcterms:issued>
   <dc:type>journal article</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14352/7282</dc:identifier>
   <dc:identifier>1531-3492</dc:identifier>
   <dc:identifier>10.3934/dcdsb.2020081</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>PGC2018-097104-B-100.</dc:relation>
   <dc:relation>CT42/18- CT43/18</dc:relation>
   <dc:rights>open access</dc:rights>
   <dc:publisher>American Institute of Mathematical Sciences</dc:publisher>
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