LIMITED OFFER
Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code needed.
Complexity and Complex Ecological Systems is an extension of Elsevier’s 2021 book Complexity and Complex Chemo-Electric Systems directed toward the analysis and synthesis of divers… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code needed.
Complexity and Complex Ecological Systems is an extension of Elsevier’s 2021 book Complexity and Complex Chemo-Electric Systems directed toward the analysis and synthesis of diverse ecological processes running in heterogeneous macrosystems. Contemporary advanced techniques such as averaged analysis, food webs approaches, and classical optimization results along with some numerical algorithms are commonly used in ecosystems. This book treats ecological systems as specific functional integrities. In Complexity and Complex Ecological Systems, one can observe how various types of ecological heterogeneities can contribute to flows of living and inanimate parts of the moving pseudo-continuum.
This book is a valuable reference for scientists, engineers, and graduate students of environmental, chemical, and biological engineering, helping them better understand complex macroscopic systems and enhance their technical skills in theoretical and practical research.
University students and researchers in theoretical and applied ecology specialized in energy sources. Researchers in industry involved in operations linked with unit processes, e.g. chemical transformation or purification of out-coming streams. Researchers in industry involved in the environment, linked with chemical or other processes, e.g. chemical transformation or purification of outgoing streams
Chapter 1: Early Works in Ecology and Ecological Optimization
1.1 Introduction
1.2 Classical thermodynamics and the second law
1.3 Extended laws of thermodynamics
1.4 Dissipative structures, degraders, and related problems
1.5 Destructive entropy production
1.6 The origin of life: A brief introduction
1.7 Thermodynamics of ecosystems as energy degraders
1.8 Order from disorder and order from order
References
Further Reading
Chapter 2: Further Development of Thermodynamic Views in Ecology
2.1 Introduction
2.2 Thermodynamics and Ecology
2.3 Thermodynamics and Living world
2.4 The Origin of Quantification: A Brief Introduction
References
Further Reading
Chapter 3: Ascendent Perspective of Ulanowicz
3.1 Introduction
3.2 A cause driving development
3.3 Quantification of growth and development
3.4 System ascendancy
References
Further reading
Chapter 4: Genetic diversity and the spread of populations
4.1Introduction
4.2 Methods
4.3 Results
4.4 Discussion
References
Appendix
Chapter 5: Robust statistic inference for complex computer models
5.1 Introduction
5.2 Why does the model error affect statistics differently?
5.3 A toolbox for statistical inference in complex computer situations
5.4. Discussion
References
Chapter 6: Trophic Relations of Coastal and Estuarine Ecosystems
6.1 Introduction
6.2 Trophic Relationships of Coastal and Estuarine Ecosystems
6.3 Benthic–Pelagic Coupling and Sediment Transport
6.4 Plecoptera (Stoneflies)
6.5 Mangrove Trophic Interactions and Estuarine Ecosystems
6.6 Spatial aspects of food webs
6.7 Summary
References
Chapter 7: Dynamic Food Webs
7.1 Introduction
7.2 Food web science on the path from abstraction to prediction
7.3 Food Webs as Units
7.4 Components of Food Webs
7.5 Food Web Links
7.6 Drivers of Temporal and Spatial Variation
7.7 Theories, Tests, and Applications
7.8 Discussion and Conclusions
References
Chapter 8: Outline of Mathematical Ecology
8.1 Population dynamics
8.2 Spatial patterns in one-species populations
8.3 Spatial relations for multiple species
8.4 Feldman’s review
References
Chapter 9: Optimizing in Ecological Systems
9.1 Introducing Standard Form of Continuous Optimization
9.2 Dynamic Programming Search of Optimal Quality Function
9.3 Continuous Maximum Principle
9.4. Solving Methods for Maximum Principle Equations
9.5. Discrete Versions of Maximum Principle
9.6. Classification and Comparison of Various Computational Methods for Optimization of Functionals
References
SS