Ecological modelling and ecophysics : agricultural and environmental applications /

This book focuses on use-inspired basic science by connecting theoretical methods and mathematical developments in ecology with practical real-world problems, either in production or conservation. The text aims to increase the reader's confidence to rely on partial aspects and relations of syst...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Fort, Hugo (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2020]
Colección:IOP ebooks. 2020 collection.
Temas:
Ecology > Simulation methods.
Biophysics > Simulation methods.
Physics > Simulation methods.
Ecological science, the Biosphere.
SCIENCE / Life Sciences / Ecology.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 0. Introduction
  • 0.1. The goal of ecology : understanding the distribution and abundance of organisms from their interactions
  • 0.2. Mathematical models
  • 0.3. Community and population ecology modelling
  • part I. Classical population and community ecology
  • 1. From growth equations for a single species to Lotka-Volterra equations for two interacting species
  • 1.1. From the Malthus to the logistic equation of growth for a single species
  • 1.2. General models for single species populations and analysis of local equilibrium stability
  • 1.3. The Lotka-Volterra predator-prey equations
  • 1.4. The Lotka-Volterra competition equations for a pair of species
  • 1.5. The Lotka-Volterra equations for two mutualist species
  • A1. Extensive livestock farming : a quantitative management model in terms of a predator-prey dynamical system
  • A1.1. Background information : the growing demand for quantitative livestock models
  • A1.2. A predator-prey model for grassland livestock or PPGL
  • A1.3. Model validation
  • A1.4. Uses of PPGL by farmers : estimating gross margins in different productive scenarios
  • A1.5. How can we improve our model?
  • 2. Lotka-Volterra models for multispecies communities and their usefulness as quantitative predicting tools
  • 2.1. Many interacting species : the Lotka-Volterra generalized linear model
  • 2.2. The Lotka-Volterra linear model for single trophic communities
  • 2.3. Food webs and trophic chains
  • 2.4. Quantifying the accuracy of the linear model for predicting species yields in single trophic communities
  • 2.5. Working with imperfect information
  • 2.6. Conclusion
  • A2. Predicting optimal mixtures of perennial crops by combining modelling and experiments
  • A2.1. Background information
  • A2.2. Overview
  • A2.3. Experimental design and data
  • A2.4. Modelling
  • A2.5. Metrics for overyielding and equitability
  • A2.6. Model validation : theoretical versus experimental quantities
  • A2.7. Predictions : results from simulation of not sown treatments
  • A2.8. Using the model attempting to elucidate the relationship between yield and diversity
  • A2.9. Possible extensions and some caveats
  • A2.10. Bottom line
  • part II. Ecophysics : methods from physics applied to ecology
  • 3. The maximum entropy method and the statistical mechanics of populations
  • 3.1. Basics of statistical physics
  • 3.2. MaxEnt in terms of Shannon's information theory as a general inference approach
  • 3.3. The statistical mechanics of populations
  • 3.4. Neutral theories of ecology
  • 3.5. Conclusion
  • A3. Combining the generalized Lotka-Volterra model and MaxEnt method to predict changes of tree species composition in tropical forests
  • A3.1. Background information
  • A3.2. Overview
  • A3.3. Data for Barro Colorado Island (BCI) 50 ha tropical Forest Dynamics Plot
  • A3.4. Modelling
  • A3.5. Model validation using time series forecasting analysis
  • A3.6. Predictions
  • A3.7. Extensions, improvements and caveats
  • A3.8. Conclusion
  • 4. Catastrophic shifts in ecology, early warnings and the phenomenology of phase transitions
  • 4.1. Catastrophes
  • 4.2. When does a catastrophic shift take place? Maxwell versus delay conventions
  • 4.3. Early warnings of catastrophic shifts
  • 4.4. Beyond the mean field approximation
  • 4.5. A comparison with the phenomenology of the liquid-vapor phase transition
  • 4.6. Final comments
  • A4. Modelling eutrophication, early warnings and remedial actions in a lake
  • A4.1. Background information
  • A4.2. Overview
  • A4.3. Data for Lake Mendota
  • A4.4. Modelling
  • A4.5. Model validation
  • A4.6. Usefulness of the early warnings
  • A4.7. Extensions, improvements and caveats.

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