LEADER 05313nam 2200649 a 450 001 9910141495703321 005 20170815164016.0 010 $a1-118-56963-6 010 $a1-299-19034-0 010 $a1-118-56962-8 010 $a1-118-56969-5 035 $a(CKB)2670000000327631 035 $a(EBL)1120635 035 $a(SSID)ssj0000856478 035 $a(PQKBManifestationID)11425246 035 $a(PQKBTitleCode)TC0000856478 035 $a(PQKBWorkID)10818833 035 $a(PQKB)10374931 035 $a(OCoLC)828203532 035 $a(MiAaPQ)EBC1120635 035 $a(EXLCZ)992670000000327631 100 $a20130301d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aModeling living systems$b[electronic resource] $efrom cell to ecosystem /$fAlain Pave? 210 $aLondon $cISTE ;$aHoboken, N.J. $cWiley$d2012 215 $a1 online resource (635 p.) 225 0 $aEnvironmental engineering series 300 $aDescription based upon print version of record. 311 $a1-84821-423-5 320 $aIncludes bibliographical references and index. 327 $aCover; Modeling Living Systems; Title Page; Copyright Page; Table of Contents; Preface; Introduction; Chapter 1. Methodology of Modeling in Biology and Ecology; 1.1. Models and modeling; 1.1.1. Models; 1.1.2. Modeling; 1.2. Mathematical modeling; 1.2.1. Analysis of the biological situation and problem; 1.2.2. Characterization and analysis of the system; 1.2.3. Choice or construction of a model; 1.2.4. Study of the properties of the model; 1.2.5. Identification; 1.2.6. Validation; 1.2.7. Use; 1.2.8. Conclusion; 1.3. Supplements 327 $a1.3.1. Differences between a mathematical objectand a mathematical model1.3.2. Different types of objects and formalizationsused in mathematical modeling; 1.3.3. Elements for choosing a mathematical formalism; 1.3.4. Stochastic and deterministic approaches; 1.3.5. Discrete and continuous time; 1.3.6. Biological and physical variables; 1.3.7. The quantitative - qualitative debate; 1.4. Models and modeling in life sciences; 1.4.1. Historical overview; 1.4.2. Modeling in biological disciplines; 1.4.3. Modeling in population biology and ecology; 1.4.4. Actors; 1.4.5. Modeling and informatics 327 $a1.4.6. Definition of bioinformatics1.5. A brief history of ecology and the importance of modelsin this discipline; 1.6. Systems: a unifying concept; Chapter 2. Functional Representations: Constructionand Interpretation of Mathematical Models; 2.1. Introduction; 2.2. Box and arrow diagrams: compartmental models; 2.3. Representations based on Forrester diagrams; 2.4. "Chemical-type" representation and multilinear differential models; 2.4.1. General overview of the translation algorithm; 2.4.2. Example of the logistic model; 2.4.3. Saturation phenomena 327 $a2.5. Functional representations of models in population dynamics2.5.1. Single population model; 2.5.2. Models with two interacting populations; 2.6. General points on functional representationsand the interpretation of differential models; 2.6.1. General hypotheses; 2.6.2. Interpretation: phenomenological and mechanistic aspects,superficial knowledge and deep knowledge; 2.6.3. Towards a classification of differentialand integro-differential models of population dynamics; 2.7. Conclusion; Chapter 3. Growth Models - PopulationDynamics and Genetics; 3.1. The biological processes of growth 327 $a3.2. Experimental data3.2.1. Organism growth data; 3.2.2. Data relating to population growth; 3.3. Models; 3.3.1. Questions and uses of models; 3.3.2. Some examples of classic growth models; 3.4. Growth modeling and functional representations; 3.4.1. Quantitative aspects; 3.4.2. Qualitative aspects: choice and construction of models; 3.4.3. Functional representations and growth models; 3.4.4. Examples of the construction of new models; 3.4.5. Typology of growth models; 3.5. Growth of organisms: some examples; 3.5.1. Individual growth of the European herring gull,Larus argentatus 327 $a3.5.2. Individual growth of young muskrats, Ondatra zibethica 330 $aModeling is now one of the most efficient methodologies in life sciences. From practice to theory, this book develops this approach illustrated by many examples; general concepts and the current state of the art are also presented and discussed.An historical and general introduction informs the reader how mathematics and formal tools are used to solve biological problems at all levels of the organization of life. The core of this book explains how this is done, based on practical examples coming, for the most part, from the author's personal experience. In most cases, data are include 410 0$aISTE 606 $aEcology$xMathematical models 606 $aBiology$xMathematical models 608 $aElectronic books. 615 0$aEcology$xMathematical models. 615 0$aBiology$xMathematical models. 676 $a570.15118 700 $aPave?$b Alain$0964176 701 $aPave?$b Alain$0964176 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910141495703321 996 $aModeling living systems$92186563 997 $aUNINA