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.

Contents:

• Research Background of Marine Ecosystem Dynamics and Characteristics of Typical Models


• Primary Ecological Processes and Their Theoretical Basis of Marine Ecosystem Dynamics Models


• Stability Analysis of Marine Ecosystem Dynamics Models


• Research on Skill Improvement Technology of Marine Ecosystem Dynamics Models


• Construction and Application of Coastal Ulva Prolifera Growth Model


• Construction and Applications of Planktonic Ecosystem Model in the Coastal Kelp Culturing Area


• Construction and Applications of Coastal Biophysical Coupling Model


• Global Sensitivity Analysis and Parameter Optimization Methods: Application in Nearshore Water Quality-Physical Coupled Model


• Construction of Marine Ecosystem Dynamics Model Based on an Artificial Neural Network and Cellular Automata


• Marine Ecosystem Dynamics Models Based on Statistical Dynamics Methods and Their Application


• Progresses on End-to-end Marine Ecosystem Dynamics Models


• Introduction to Land-sea Coordination-based Coastal Ecosystem Dynamics and Prospects for Marine Ecosystem Dynamics Models

Readership: Professional and technical personnel, managers and graduate students specializing in the evolution mechanism, simulation, predication and regulation of marine ecosystems.

Key Features:

• This book addresses the cutting-edge issues such as model stability, reliability, prediction accuracy, and parameter optimization in the study of marine ecological dynamics


• The methodologies adopted in this book is unique in the modelling of marine ecological dynamics


• The book proposes Subject positioning, model classification methods and a performance improvement technical framework to model marine ecological dynamics