Application Of Ecological Modelling In Environmental Management
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| Author | : S.E. Jorgensen |
| Publisher | : Elsevier |
| Total Pages | : 414 |
| Release | : 2011-01-10 |
| Genre | : Science |
| ISBN | : 0444535683 |
Fundamentals of Ecological Modelling: Applications in Environmental Management and Research, Fourth Edition, provides a comprehensive discussion of the fundamental principles of ecological modeling. The first two editions of this book (published in 1986 and 1994) focused on the roots of the discipline the four main model types that dominated the field 30-40 years ago: (1) dynamic biogeochemical models; (2) population dynamic models; (3) ecotoxicological models; and (4) steady-state biogeochemical and energy models. The third edition focused on the mathematical formulations of ecological processes that are included in ecological models. This fourth edition uses the four model types previously listed as the foundation and expands the latest model developments in spatial models, structural dynamic models, and individual-based models. As these seven types of models are very different and require different considerations in the model development phase, a separate chapter is devoted to the development of each of the model types. Throughout the text, the examples given from the literature emphasize the application of models for environmental management and research. - Presents the most commonly used model types with a step-by-step outline of the modeling procedure used for each - Shows readers through an illustrated example of how to use each model in research and management settings - New edition is revised to include only essential theory with a focus on applications - Includes case studies, illustrations, and exercises (case study of an ecological problem with full illustration on how to solve the problem)
| Author | : Hugo Fort |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2024-04-22 |
| Genre | : Science |
| ISBN | : 9780750361606 |
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.
| Author | : Fred Jopp |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 400 |
| Release | : 2011-02-11 |
| Genre | : Science |
| ISBN | : 3642050298 |
Model development is of vital importance for understanding and management of ecological processes. Identifying the complex relationships between ecological patterns and processes is a crucial task. Ecological modelling—both qualitatively and quantitatively—plays a vital role in analysing ecological phenomena and for ecological theory. This textbook provides a unique overview of modelling approaches. Representing the state-of-the-art in modern ecology, it shows how to construct and work with various different model types. It introduces the background of each approach and its application in ecology. Differential equations, matrix approaches, individual-based models and many other relevant modelling techniques are explained and demonstrated with their use. The authors provide links to software tools and course materials. With chapters written by leading specialists, “Modelling Complex Ecological Dynamics” is an essential contribution to expand the qualification of students, teachers and scientists alike.
| Author | : |
| Publisher | : Elsevier |
| Total Pages | : 280 |
| Release | : 2016-10-28 |
| Genre | : Science |
| ISBN | : 0444636269 |
Ecological Model Types brings an understanding on how to quantitatively analyze complex and dynamic ecosystems with the tools available today. Ecosystem studies widely use the notions of order, complexity, randomness, and organization, and are used interchangeably in literature, which causes much confusion. Better models synthesize our knowledge on ecosystems and their environmental problems, in contrast to statistical analysis, which only reveal the relationships between the data. This book brings together experts on ecological models to create a definitive work on how to understand our complex Earth. - Bridges the gap between statistical analysis and synthesis of data, enhancing our understanding about ecosystems and their environmental problems - Helps readers understand complex ecosystems by walking through the best modeling options to analyze and predict environmental effects - Provides a detailed review of 14 model types, covering the breadth of options available for analysis at this time
| Author | : Sven Erik Jørgensen |
| Publisher | : Elsevier |
| Total Pages | : 544 |
| Release | : 2001 |
| Genre | : Nature |
| ISBN | : 0080440150 |
Cover -- Contents -- Preface -- Acknowledgements -- Chapter 1. Introduction -- 1.1 Physical and Mathematical Models -- 1.2 Models as a Management Tool -- 1.3 Models as a Scientific Tool -- 1.4 Models and Holism -- 1.5 The Ecosystem as an Object for Research -- 1.6 Outline of the Book -- 1.7 The Development of Ecological and Environmental Models -- 1.8 State of the Art in the Application of Models -- Chapter 2. Concepts of Modelling -- 2.1 Introduction -- 2.2 Modelling Elements -- 2.3 The Modelling Procedure -- 2.4 Types of Model -- 2.5 Selection of Model Type -- 2.6 Selection of Model Complexity and Structure -- 2.7 Verification -- 2.8 Sensitivity Analysis -- 2.9 Parameter Estimation -- 2.10 Validation -- 2.11 Ecological Modelling and Quantum Theory -- 2.12 Modelling Constraints -- Problems -- Chapter 3. Ecological Processes -- 3A.1 Space and Time Resolution -- 3A.2 Mass Transport -- 3A.3 Mass Balance -- 3A.4 Energetic Factors -- 3A.5 Settling and Resuspension -- 3B.1 Chemical Reaction ...
| Author | : Christoph Molnar |
| Publisher | : Lulu.com |
| Total Pages | : 320 |
| Release | : 2020 |
| Genre | : Computers |
| ISBN | : 0244768528 |
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
| Author | : Miguel F. Acevedo |
| Publisher | : CRC Press |
| Total Pages | : 486 |
| Release | : 2016-04-19 |
| Genre | : Science |
| ISBN | : 1466553898 |
Given the importance of interdisciplinary work in sustainability, Simulation of Ecological and Environmental Models introduces the theory and practice of modeling and simulation as applied in a variety of disciplines that deal with earth systems, the environment, ecology, and human-nature interactions. Based on the author's many years of teaching g
| Author | : Sven Erik Jørgensen |
| Publisher | : Academic Press |
| Total Pages | : 393 |
| Release | : 2009-07-25 |
| Genre | : Technology & Engineering |
| ISBN | : 0123813689 |
Ecological engineering involves the design, construction and management of ecosystems that have value to both humans and the environment. It is a rapidly developing discipline that provides a promising technology to solve environmental problems. Ecological Engineering covers the basic theory of ecological engineering as well as the application of these principles in environmental management. - Provides an overview of the theory and application of environmental engineering - International focus and range of ecosystems makes Ecological Engineering an indispensable resource to scientists - Based on the best-selling Encyclopedia of Ecology - Full-color figures and tables support the text and aid in understanding
| Author | : S.E. Jorgensen |
| Publisher | : Elsevier |
| Total Pages | : 409 |
| Release | : 2016-04-20 |
| Genre | : Science |
| ISBN | : 1483290808 |
The use of models to assess water quality is becoming increasingly important worldwide. In order to be able to develop a good model, it is necessary to have a good quantitative and ecological description of physical, chemical and biological processes in ecosystems. Such descriptions may be called ``submodels''. This book presents the most important, but not all, submodels applied in water quality modelling. Each chapter deals with a specific physical process and covers its importance, the most applicable submodels (and how to select one), parameter values and their determination, and future research needs.The book will be an excellent reference source for environmental engineers, ecological modellers and all those interested in the modelling of water quality systems.
| Author | : Sven E. Jorgensen |
| Publisher | : CRC Press |
| Total Pages | : 698 |
| Release | : 1995-12-13 |
| Genre | : Technology & Engineering |
| ISBN | : 9781566702027 |
With descriptions of hundreds of the most important environmental and ecological models, this handbook is a unique and practical reference source. The Handbook of Environmental and Ecological Modeling is ideal for those working in environmental modeling, including regulators and managers who wish to understand the models used to make assessments. Overviews of more than 360 models are easily accessed in this handbook, allowing readers to quickly locate information they need about models available in a given ecosystem. The material in the Handbook of Environmental and Ecological Modeling is logically arranged according to ecosystem. Each of the sixteen chapters of the handbook covers a particular ecosystem, and includes not only the descriptions of the models, but also an overview of the state-of-the-art in modeling for that particular ecosystem. A summary of the spectrum of available models is also provided in each chapter. The extensive table of contents and the easy-to-use index put materials immediately at your fingertips.
