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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
IOP Publishing,
[2020]
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| Colección: | IOP ebooks. 2020 collection.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 024 | 7 | |a 10.1088/978-0-7503-2432-8 |2 doi | |
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| 035 | |a (OCoLC)1164163456 | ||
| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
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| 082 | 0 | 4 | |a 577.01/13 |2 23 |
| 100 | 1 | |a Fort, Hugo, |e author. | |
| 245 | 1 | 0 | |a Ecological modelling and ecophysics : |b agricultural and environmental applications / |c Hugo Fort. |
| 264 | 1 | |a Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : |b IOP Publishing, |c [2020] | |
| 300 | |a 1 online resource (various pagings) : |b illustrations (some color). | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 1 | |a IOP ebooks. [2020 collection] | |
| 500 | |a "Version: 20200601"--Title page verso. | ||
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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? | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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. | |
| 520 | 3 | |a 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 systems to which we only have an incomplete understanding. By abstracting and simplifying problems, Ecological Modelling and Ecophysics seeks to expand the reader's understanding and ability to solve practical issues with rigorous quantitative methods. The first part of this book is devoted to classical methods in population and community ecology. The second part aims to introduce the reader to certain tools and techniques from different branches of physics, such as thermodynamics, statistical mechanics and complex systems, and their applications in ecology and environmental sciences. Connecting ecological problems with well-studied phenomena in physics allows the exploiting of analogies to gain deeper insight into these problems, to identify novel questions and problems, and to get access to alternative quantitative methods and tools from physics. This is an essential text for quantitative ecologists and environmental scientists with an interest in novel mathematical approaches, and also applied physicists and mathematicians with an interest in ecological systems. | |
| 521 | |a Quantitative ecologists and environmental scientists (including biophysicists) with an interest in novel mathematical approaches. Applied physicists and applied mathematicians with an interest in ecological systems. | ||
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 538 | |a System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. | ||
| 545 | |a Hugo Fort is Professor at the Physics Department of the Faculty of Sciences of the Republic University (Montevideo, Uruguay) and Head of the Complex System Group. After earning his PhD in Physics from the Autonomous University of Barcelona in 1994 he conducted research on quantum field theory. Since 2001 his scientific interests evolved from theoretical physics to complex systems and mathematical modelling applied to problems in biology, with focus in ecology and evolution. A main goal of his research is to develop quantitative methods and tools for a wide variety of practical problems in fields ranging from agro-economy to environmental and real-time evolution. Professor Fort is currently involved in several international research collaborations pursuing used-inspired basic science. A central aim is to connect ecological and evolutionary problems with well-studied phenomena in physics to gain deeper insight into these problems, to identify novel questions and problems, and to get access to alternative powerful computational tools. | ||
| 588 | 0 | |a Title from PDF title page (viewed on July 9, 2020). | |
| 650 | 0 | |a Ecology |x Simulation methods. | |
| 650 | 0 | |a Biophysics |x Simulation methods. | |
| 650 | 0 | |a Physics |x Simulation methods. | |
| 650 | 7 | |a Ecological science, the Biosphere. |2 bicssc | |
| 650 | 7 | |a SCIENCE / Life Sciences / Ecology. |2 bisacsh | |
| 710 | 2 | |a Institute of Physics (Great Britain), |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9780750324304 |z 9780750324335 |
| 830 | 0 | |a IOP ebooks. |p 2020 collection. | |
| 856 | 4 | 0 | |u https://iopscience.uam.elogim.com/book/978-0-7503-2432-8 |z Texto completo |