| Record ID | marc_columbia/Columbia-extract-20221130-013.mrc:336908609:3437 |
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LEADER: 03437cam a22003854a 4500
001 6462385
005 20221122033009.0
008 070927t20082008fluaf b 001 0 eng
010 $a 2007040410
019 $a150368716
020 $a9781584886747 (alk. paper)
020 $a1584886749 (alk. paper)
035 $a(OCoLC)ocn174112652
035 $a(OCoLC)174112652$z(OCoLC)150368716
035 $a(NNC)6462385
035 $a6462385
040 $aDLC$cDLC$dBAKER$dBTCTA$dC#P$dYDXCP$dOrLoB-B
050 00 $aQH541.15.M3$bM25 2008
082 00 $a577.01/5118$222
100 1 $aMalchow, Horst,$d1953-$0http://id.loc.gov/authorities/names/n86033176
245 10 $aSpatiotemporal patterns in ecology and epidemiology :$btheory, models, and simulation /$cHorst Malchow, Sergei V. Petrovskii, and Ezio Venturino.
260 $aBoca Raton :$bChapman & Hall/CRC Press,$c[2008], ©2008.
300 $a443 pages, 8 unnumbered pages of plates :$billustrations (some color) ;$c25 cm +$e1 CD-ROM (4 3/4 in.).
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aChapman & Hall/CRC mathematical and computational biology series
504 $aIncludes bibliographical references (p. 403-442) and index.
505 00 $gI.$tIntroduction -- $g1.$tEcological patterns in time and space -- $g2.$tAn overview of modeling approaches -- $gII.$tModels of temporal dynamics -- $g3.$tClassical one population models -- $g4.$tInteracting populations -- $g5.$tCase study: biological pest control in vineyards -- $g6.$tEpidemic models -- $g7.$tEcoepidemic systems -- $gIII.$tSpatiotemporal dynamics and pattern formation: deterministic approach -- $g8.$tSpatial aspect: diffusion as a paradigm -- $g9.$tInstabilities and dissipative structures -- $g10.$tPatterns in the wake of invasion -- $g11.$tBiological turbulence -- $g12.$tPatchy invasion -- $gIV.$tSpatiotemporal patterns and noise -- $g13.$tGeneric model of stochastic population dynamics -- $g14.$tNoise-induced pattern transitions -- $g15.$tEpidemic spread in a stochastic environment -- $g16.$tNoise-induced pattern formation.
520 1 $a"Although the spatial dimension of ecosystem dynamics is now widely recognized, the specific mechanisms behind species patterning in space are still poorly understood and the corresponding theoretical framework is underdeveloped. Going beyond the classical Turing scenario of pattern formation, Spatiotemporal Patterns in Ecology and Epidemiology: Theory, Models, and Simulation illustrates how mathematical modeling and numerical simulations can lead to greater understanding of these issues. It takes a unified approach to population dynamics and epidemiology by presenting several ecoepidemiological models where both the basic interspecies interactions of population dynamics and the impact of an infectious disease are explicitly considered."--BOOK JACKET.
650 0 $aEcology$xMathematical models.$0http://id.loc.gov/authorities/subjects/sh2008102528
650 0 $aEpidemiology$xMathematical models.$0http://id.loc.gov/authorities/subjects/sh2009125068
700 1 $aPetrovskii, Sergei V.$0http://id.loc.gov/authorities/names/n2005035470
700 1 $aVenturino, Ezio.$0http://id.loc.gov/authorities/names/n2007070182
830 0 $aChapman and Hall/CRC mathematical & computational biology series.$0http://id.loc.gov/authorities/names/n2005083011
852 00 $boff,bio$hQH541.15.M3$iM25 2008$zAccompanied by 1 CD-ROM