Introduction To The Modelling Of Marine Ecosystems

Modelling of marine ecosystems is a rapidly developing branch of interdisciplinary oceanographic research. Introduction to the Modelling of Marine Ecosystems is the first consistent and comprehensive introduction to the development of models of marine ecosystems. It begins with simple first steps of modelling and develops more and more complex models. This step-by-step approach to increasing the complexity of the models is intended to allow students of biological oceanography and interested scientists with only limited experience in mathematical modelling to explore the theoretical framework and familiarize oneself with the methods. The book describes how biological model components can be integrated into three dimensional circulation models and how such models can be used for 'numerical experiments'. The book illustrates the mathematical aspects of modelling and gives application examples. The tutorial aspect of the book is supported by a set of MATLAB programs, which are provided on an accompanying CD-Rom and which can be used to reproduce many of the results presented in the book. Also available in paperback, ISBN 0-444-51704-9

Introduction to the Modelling of Marine Ecosystems, Second Edition provides foundational information on the construction of chemical and biological models – from simple cases to more complex biogeochemical models and life cycle resolving model components. This step-by-step approach to increasing the complexity of the models allows readers to explore the theoretical framework and become familiar with the models even when they have limited experience in mathematical modeling. Introduction to the Modelling of Marine Ecosystems shows how biological model components can be integrated into three dimensional circulation models and how such models can be used for numerical experiments. Covers the marine food web from nutrients, phytoplankton to higher trophic levels Presents information on the response of marine systems to external pressures as seen in physical biological models Provides an extended discussion of unifying theoretical concepts and of physical biological interaction Covers higher trophic levels, in particular multi-species fish models and their interaction with the biogeochemical models Offers MATLAB scripts on a companion website for many of the described example models to facilitate reproduction of the findings in the book and guide reader to writing own code

Modelling of marine ecosystems is a rapidly developing branch of interdisciplinary oceanographic research. Introduction to the Modelling of Marine Ecosystems is the first consistent and comprehensive introduction to the development of models of marine ecosystems. It begins with simple first steps of modelling and develops more and more complex models. This step-by-step approach to increasing the complexity of the models is intended to allow students of biological oceanography and interested scientists with only limited experience in mathematical modelling to explore the theoretical framework and familiarize oneself with the methods. The book describes how biological model components can be integrated into three dimensional circulation models and how such models can be used for 'numerical experiments'. The book illustrates the mathematical aspects of modelling and gives application examples. The tutorial aspect of the book is supported by a set of MATLAB programs, which are provided on an accompanying CD-Rom and which can be used to reproduce many of the results presented in the book. Also available in paperback, ISBN 0-444-51704-9.

This book presents the fundamental theories, methodologies and case studies of marine ecosystem modeling with a special focus on marine ecological dynamics that could provide scientists and researchers with a stabile and reliabile technical framework to study marine life and their developments.This book also clarifies the research objective and model classification methods of marine ecosystem dynamics research and analyzes the key marine ecological processes that affect modeling. The technical framework for improving the performance of modeling is also proposed, and the latest progress in research, as well as existing difficulties and challenges in end-to-end dynamics models are reviewed and analyzed. A dimensionality reduction theorem is established and derived for analyzing the stability of the solutions of a class of self-conserving marine ecosystem dynamic models. Also included in this work are several new types of marine ecosystem dynamics models constructed by modern computing methods — including artificial neural networks, cellular automata, and statistical dynamics — and case studies.This book is a suitable reference for professional and technical personnel, managers and graduate students specializing in the evolution mechanism, simulation, predication and regulation of marine ecosystems.

This book offers an environmental-economic analysis of exploited ecosystems with a clear policy orientation. The study moves beyond traditional economic fishery analysis in two respects. First, several theoretical and numerical models are offered that combine economic and ecological descriptions of fisheries. Second, valuation and stakeholder concerns are addressed in empirical analyses employing both qualitative and quantitative approaches. The approaches, models and policy insights are sufficiently general and innovative to interest a broad audience.

This book offers an environmental-economic analysis of exploited ecosystems with a clear policy orientation. The study moves beyond traditional economic fishery analysis in two respects. First, several theoretical and numerical models are offered that combine economic and ecological descriptions of fisheries. Second, valuation and stakeholder concerns are addressed in empirical analyses employing both qualitative and quantitative approaches. The approaches, models and policy insights are sufficiently general and innovative to interest a broad audience.

Sea-ice ecosystem modelling is a novel field of research. In this thesis, the main organism studied is sea-ice algae. A basic introduction to algae and its importance in the aquatic food web is given first. An introduction to modeling and its purposes is presented, and this is followed by a brief description of ice algae models in practice with some physical conditions which influence ecosystem modelling. In the following Chapter, a simple mathematical model to represent the algae population is derived, and analyzed using pseudo spectral numerical methods implemented with MATLAB. The behaviour of the algae population and the boundary layers are discussed by examining the numerical results. Perturbation and asymptotic analysis is used for further analysis of the system using Maple. In the following Chapter a Nutrient Phytoplankton Zooplankton Detritus (or NPZD) model, which is a commonly used type of model in marine ecosystem modelling, is developed based on the framework of Soetaert and Herman. The model is examined under five different experimental setups (herein we mean numerical experiments) and the results are discussed. The NPZD model implemented is compared with a well-studied model in the literature. Our model can be considered somewhat simpler than other models in the literature (though it still has a much larger parameter space than the idealized model discussed in the previous Chapter). Finally we discuss future directions for research.

One aim of the physical sciences has been to give an exact picture of the material world. One achievement of physics in the twentieth century has been to prove that that aim is unattainable . . . . There is no absolute knowledge. And those who claim it, whether they are scientists or dogmatists, open the door to tragedy. All information is imperfect. We have to treat it with humility. Bronowski (1973) The Ascent of Man It seems particularly appropriate to us to begin this book with Jacob Bronowski's passionate message firmly in mind. Those who set out to construct numerical models, especially ones that are mechanistic and essentially deterministic, must work always with this awareness as a backdrop for their efforts. But this is also true for the most meticulous physiologist or observant naturalist. We are all dealing with simplifications and abstractions, all trying to figure out how nature works. Unfortunately, this common pursuit does not always lead to mutual understanding, and we have become increasingly aware over the past six years that many ecologists feel a certain hostility or at least distrust toward numerical modeling. In a number of cases the reasons for such feelings are personal and very understandable-hard gotten data skimmed off by someone with little appreciation for the difficulties involved in obtaining reliable measurements, grandiose claims of predictability, the tendency for some model builders to treat other scientists as number-getters whose research can be directed in response to the needs of the model, etc.

Modelling of Marine Systems

The book presents a collection of large-scale network-modeling studies on coastal systems in Latin America. It includes a novel description of the functioning of coastal complex ecosystems and also predicts how natural and human-made disturbances percolate through the networks. Coastal areas belong to the most populated ecosystems around the globe, and are massively influenced by human impacts such as shipping, mining, fisheries, tourism, pollution and human settlements. Even though many of these activities have facilitated socio-economic development, they have also caused a significant deterioration in natural populations, communities and ecosystems worldwide. Covering coastal marine ecosystems of Latin America such as the NE and SE Pacific, NW Atlantic and Caribbean areas, it discusses the construction of quantitative (Ecopath-Ecosim-Ecospace and Centrality of Node Sets) and semi-quantitative (Loop Analysis) multispecies trophic-network models to describe and assess the impacts of natural and human interventions like pelagic and benthic fishing as well as natural events such as El Niño, and La Niña. The book also features steady state (and/or near moving equilibrium) and dynamical models to support the management of exploited organisms, and applies and quantifies macroscopic indices, based on Ascendency (Ulanowicz) and Local Stability (Levins ́ Loop Analysis). Further, it discusses the determination of the Keystone Species Complex Index, which is a holistic extension of the classical concept of Keystone Species (Paine), offering novel strategies for conservation monitoring and management.