Complexity and Complex Ecological Systems /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sieniutycz, Stanislaw
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands ; Oxford, United Kingdom ; Cambridge MA : Elsevier, [2023]
Temas:
Ecology > Mathematical models.
Biocomplexity.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • Complexity and Complex Ecological Systems
  • Copyright
  • Contents
  • Preface
  • References
  • Acknowledgments
  • Chapter 1: Early works in ecology and ecological approaches
  • 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
  • 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
  • Chapter 3: Ascendant perspective of Ulanowicz
  • 3.1. Introduction
  • 3.2. A cause driving the development
  • 3.3. Quantification of growth and development
  • 3.4. System ascendancy
  • Chapter 4: Genetic diversity and the spread of populations
  • 4.1. Introduction
  • 4.2. Methods
  • 4.2.1. Model system
  • 4.2.2. Genetic diversity
  • 4.2.3. Population spread
  • 4.2.4. Statistical models
  • Mean population spread
  • Variability in population spread
  • Total population size
  • Population density
  • 4.3. Results
  • 4.3.1. Mean population spread
  • 4.3.2. Variability in population spread
  • 4.3.3. Total population size
  • 4.3.4. Population density
  • 4.4. Discussion
  • Appendix
  • Chapter 5: Robust statistical inference for complex computer models
  • 5.1. Introduction
  • 5.2. Why does the model error affect statistics differently?
  • 5.2.1. Case study
  • 5.2.2. Model structure and introduced structural error
  • 5.2.3. Statistical inference
  • 5.2.4. Quantification of the error in inference
  • 5.2.5. Comparison between calibrating a ``true�� model and a model with structural error
  • 5.3. A toolbox for statistical inference in complex computer simulations
  • 5.3.1. Weighting of data streams
  • 5.3.2. Case study-Weighting of data streams
  • 5.3.3. Bias correction after calibration
  • Case study-Bias correction after calibration
  • 5.3.4. Bias correction during calibration
  • Case study-Bias correction during calibration
  • 5.3.5. Correcting processes rather than outputs
  • 5.4. Discussion
  • 5.4.1. Which methods work to improve inference for biased system models?
  • 5.4.2. Practical suggestions
  • 5.4.3. Toward a statistical theory for robust inference in complex computer simulations
  • Chapter 6: Biodiversity maintenance in food webs
  • 6.1. Introduction
  • 6.2. Toward 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
  • Chapter 7: Dynamic food webs
  • 7.1. Introduction

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