000 06461nam a22003975i 4500
999 _c76247
_d76247
_x1
001 76247
003 ES-MaUEC
005 20230207040216.0
007 cr nn 008mamaa
008 140705s2014 gw | s |||| 0|eng d
020 _a9783319056159
024 7 _a10.1007/978-3-319-05615-9
_2doi
040 _bspa
_dES-MaUEC
050 4 _aQH324.2
_bH366 2014
082 0 4 _223
100 1 _aHannon, Bruce.
_985202
_0Local
245 1 0 _aModeling Dynamic Biological Systems
_cby Bruce Hannon, Matthias Ruth.
250 _a2nd ed. 2014.
260 _aCham, Switzerland
_bSpringer
_c2014
300 _a1 recurso en línea (XVI, 434 p.)
_b298 ilustraciones, 280 ilustraciones en color
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 1 _aModeling Dynamic Systems
505 0 _aI. INTRODUCTION -- 1. Modeling Dynamic Biological Systems -- 2. Exploring Dynamic Biological Systems -- 3. Risky Population -- 4. Steady State, Oscillation and Chaos in Population Dynamics -- 5. Spatial Dynamics.-Â{u926E}. PHYSICAL AND BIOCHEMICAL MODELS.-Â{u6BA0}Law of Mass Action -- 7. Catalyzed Product -- 8. Two-Stage Nutrient Uptake -- 9. Iodine Compartment -- 10. The Brusselator -- 11. Signal Transmission -- III. Genetic Models -- 12. Mating and Mutation of Alleles -- 13. Artificial Worms -- 14. Langur Infanticide and Long-term Matriline Fitness -- IV. MODELS OF ORGANISM -- 15. Odor Sensing -- 16. Stochastic Resonance -- 17. Heart Beat -- 18. Bat Thermo-Regulation -- 19. The Optimum Plant -- 20. Soybean Plant Growth -- 21. Infectious Diseases -- VI. SINGLE POPULATION MODELS -- 22. Adaptive Population Control -- 23. Roan Herds -- 24. Population Dynamics of Voles -- 25. Lemming Population Dynamics -- 26. Multi-Stage Insect Models -- 27. Two Age-Class Parasites -- 28. Monkey Travels -- 29. Biosynchronicity -- VII. MULTIPLE POPULATION MODELS -- 30. Plant Microbe Interaction -- 31. Wildebeest -- 32. Nicholson-Bailey Host-Parasite Interaction -- 33. Diseased and Healthy Immigrating Insects -- 34. Two-Species Colonization Model -- 35. Herbivore-Algae Predator-Prey Dynamics -- 36. The Grass Carp -- 37. Recruitment and Trophic Dynamics of Gizzard Shad -- 38. Salamander Dispersal. 39. Quail Movement -- 40. Modeling Spatial Dynamics of Spatial Predator-Prey Interactions in a Changing -- VII. CATASTROPHE AND SELF-ORGANIZATION -- 41. Catastrophe -- 42. Spruce Budworm Dynamics -- 43. Game of Life -- 44. Daisyworld -- VIII. CONCLUSION -- 45. Building a Modeling Community.Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2820} Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2820} Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{uE000}
520 _aMany biologists and ecologists have developed models that find widespread use in theoretical investigations and in applications to organism behavior, disease control, population and metapopulation theory, ecosystem dynamics, and environmental management.This book captures and extends the process of model development by concentrating on the dynamic aspects of these processes and by providingÂ{u4BEF}lsÂ{u4A21}t virtually anyone with basic knowledge in the Life Sciences can use to develop meaningful dynamic models.Ÿamples of the systems modeled in the book range from models of cell development, the beating heart, the growth and spread of insects, spatial competition and extinction, to the spread and control of epidemics, including the conditions for the development of chaos.Â{u02E5}y Features ·Â{u2802}Â{u2802}Â{u2802}Â{u2820} Easy-to-learn and easy-to-use software ·Â{u2802}Â{u2802}Â{u2802}Â{u2820} Includes examples from many subdisciplines of biology, covering models of cells, organisms, populations, and metapopulations ·Â{u2802}Â{u2802}Â{u2802}Â{u2820} No prior computer or programming experience required Key Benefits ·Â{u2802}Â{u2802}Â{u2802}Â{u2820} Learn how to develop modeling skills and system thinking on your own rather than use models developed by others ·Â{u2802}Â{u2802}Â{u2802}Â{u2802}Â{u5873}sily run models under alternative assumptions and investigate the implications of these assumptions for the dynamics of the biological system being modeled ·Âĥvelop skills to assess the dynamics of biological systems
650 7 _2embne
_aBioinformática
_9160489
700 1 _aRuth, Matthias.
_985203
_0Local
710 2 _aSpringerLink (Online service)
_0Local
_9106996
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-05615-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907 _a.b12818653
_b10-10-17
_c01-10-14
942 _2lcc
_cLE
945 _aQH324.2 H366 2014 EB
_g1
_ieBOOK
_j0
_lmae
_o-
_pEUR0.00
_q-
_r-
_sb
_t15
_u0
_v0
_w0
_x0
_y.i1154787x
_z06-04-17
988 _aEBSPRINGER
998 _am
_a_alco
_a_vill
_b - -
_cm
_dz
_e-
_feng
_ggw
_h0