LEADER 03574nam 22006614a 450 001 9910458697103321 005 20200520144314.0 010 $a1-281-02713-8 010 $a9786611027131 010 $a0-08-052887-2 035 $a(CKB)1000000000364423 035 $a(EBL)300647 035 $a(OCoLC)476079210 035 $a(SSID)ssj0000120010 035 $a(PQKBManifestationID)11141764 035 $a(PQKBTitleCode)TC0000120010 035 $a(PQKBWorkID)10079778 035 $a(PQKB)11250342 035 $a(MiAaPQ)EBC300647 035 $a(Au-PeEL)EBL300647 035 $a(CaPaEBR)ebr10187294 035 $a(CaONFJC)MIL102713 035 $a(EXLCZ)991000000000364423 100 $a20020325d2003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aChaos in ecology$b[electronic resource] $eexperimental nonlinear dynamics /$fJ.M. Cushing ... [et al.] 210 $aAmsterdam $cBoston $cAcademic Press$dc2003 215 $a1 online resource (241 p.) 225 1 $aAcademic Press theoretical ecology series 300 $aDescription based upon print version of record. 311 $a0-12-198876-7 320 $aIncludes bibliographical references (p. 183-193). 327 $aFront Cover; Chaos in Ecology: Experimental Nonlinear Dynamics; Copyright Page; Contents; Foreword; Preface; Chapter 1. Introduction; 1.1 What Is Chaos?; 1.2 Bifurcations and Chaos; 1.3 The Hunt for Chaos; 1.4 Mathematical Models and Data; Chapter 2. Models; 2.1 The Deterministic LPA Model; 2.2 The Flour Beetle; 2.3 Dynamics of the LPA Model; 2.4 A Stochastic LPA Model; 2.5 Parameter Estimation; 2.6 Model Validation; 2.7 Predicted Dynamics; 2.8 Concluding Remarks; Chapter 3. Bifurcations; 3.1 A Bifurcation Experiment; 3.2 The Experimental Results; 3.3 Concluding Remarks; Chapter 4. Chaos 327 $a4.1 A Route-to-Chaos4.2 Demographic Variability; 4.3 Analysis of the Experiment; 4.4 Concluding Remarks; Chapter 5. Patterns in Chaos; 5.1 Sensitivity to Initial Conditions; 5.2 Temporal Patterns; 5.3 Lattice Effects; 5.4 Concluding Remarks; Chapter 6. What We Learned; Bibliography; Appendix; A The Desharnais Experiment; B The Bifurcation Experiment; C The Chaos Experiment; Index 330 $aIt is impossible to predict the exact behavior of all biological systems and how these same systems are exemplified by patterns of complexity and regularity. Decades of research in ecology have documented how these sorts of patterns are the consequences of deceptively simple rules that determine the nature of the patterns created. Chaos in Ecology will explain how simple beginnings result in complicated results.Chaos in Ecology is the inaugural volume of Theoretical Ecology Series. The authors of this volume have employed data from a proven model system in population dyn 410 0$aTheoretical ecology series. 606 $aEcology$xMathematical models 606 $aPopulation biology$xMathematical models 606 $aChaotic behavior in systems 606 $aNonlinear theories 608 $aElectronic books. 615 0$aEcology$xMathematical models. 615 0$aPopulation biology$xMathematical models. 615 0$aChaotic behavior in systems. 615 0$aNonlinear theories. 676 $a577/.01/5118 701 $aCushing$b J. M$g(Jim Michael),$f1942-$0859074 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458697103321 996 $aChaos in ecology$91917490 997 $aUNINA