000			06063nam a22005535i 4500
001			978-3-319-05615-9
003			DE-He213
005			20160302172806.0
007			cr nn 008mamaa
008			140705s2014 gw | s |||| 0|eng d
020			_a9783319056159 _9978-3-319-05615-9
024	7		_a10.1007/978-3-319-05615-9 _2doi
050		4	_aQH540-549.5
072		7	_aPSAF _2bicssc
072		7	_aSCI020000 _2bisacsh
082	0	4	_a577 _223
100	1		_aHannon, Bruce. _eauthor.
245	1	0	_aModeling Dynamic Biological Systems _h[electronic resource] / _cby Bruce Hannon, Matthias Ruth.
250			_a2nd ed. 2014.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014.
300			_aXVI, 434 p. 298 illus., 280 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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.-�II. PHYSICAL AND BIOCHEMICAL MODELS.-�6. 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.�������������������������������������������������������������������������������������������������������������� �������������������������������������������������������������������������������������������������������������������������������������������������������� �������������������������������������������������������������������������������������������������������.
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 providing�tools�that virtually anyone with basic knowledge in the Life Sciences can use to develop meaningful dynamic models.� Examples 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.� Key Features ��������� Easy-to-learn and easy-to-use software ��������� Includes examples from many subdisciplines of biology, covering models of cells, organisms, populations, and metapopulations ��������� No prior computer or programming experience required Key Benefits ��������� Learn how to develop modeling skills and system thinking on your own rather than use models developed by others ����������Easily run models under alternative assumptions and investigate the implications of these assumptions for the dynamics of the biological system being modeled �� Develop skills to assess the dynamics of biological systems.
650		0	_aLife sciences.
650		0	_aComputers.
650		0	_aBiochemistry.
650		0	_aEcology.
650		0	_aBiomathematics.
650		0	_aPopulation.
650	1	4	_aLife Sciences.
650	2	4	_aEcology.
650	2	4	_aMathematical and Computational Biology.
650	2	4	_aPopulation Economics.
650	2	4	_aBiochemistry, general.
650	2	4	_aModels and Principles.
700	1		_aRuth, Matthias. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319056142
830		0	_aModeling Dynamic Systems
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-05615-9
912			_aZDB-2-SBL
999			_c207961 _d207961