Advanced Modelling Techniques Studying Global Changes in Environmental Sciences, Volume 27

• Preface
• Chapter 1: Introduction: Global changes and sustainable ecosystem management
  • Abstract
  • 1.1 Effects of Global Changes
  • 1.2 Sustainable Ecosystem Management
  • 1.3 Outline of This Book
• Chapter 2: Toward a new generation of ecological modelling techniques: Review and bibliometrics
  • Abstract
  • 2.1 Introduction
  • 2.2 Historical Development of Ecological Modelling
  • 2.3 Bibliometric Analysis of Modelling Approaches
  • 2.4 Brief Review of Modelling Techniques
  • 2.5 Future Perspectives of Ecological Modelling
• Chapter 3: System-wide measures in ecological network analysis
  • Abstract
  • 3.1 Introduction
  • 3.2 Description of System-Wide Measures
  • 3.3 Ecosystem Models Used for Comparison
  • 3.4 Methods
  • 3.5 Observations and Discussion
• Chapter 4: Application of structurally dynamic models (SDMs) to determine impacts of climate changes
  • Abstract
  • 4.1 Introduction
  • 4.2 Development of SDM
  • 4.3 Application of SDMs for the Assessment of Ecological Changes due to Climate Changes
  • 4.4 Conclusions
• Chapter 5: Modelling animal behavior to monitor effects of stressors
  • Abstract
  • 5.1 Introduction
  • 5.2 Behavior Modelling: Dealing with Instantaneous or Whole Data Sets
  • 5.3 Higher Moments in Position Distribution
  • 5.4 Identifying Behavioral States
  • 5.5 Data Transformation and Filtering by Integration
  • 5.6 Intermittency
  • 5.7 Discussion and Conclusion
  • Acknowledgment
• Chapter 6: Species distribution models for sustainable ecosystem management
  • Abstract
  • 6.1 Introduction
  • 6.2 Model Development Procedure
  • 6.3 Selected Models: Characteristics and Examples
  • 6.4 Future Perspectives
• Chapter 7: Ecosystem risk assessment modelling method for emerging pollutants
  • Abstract
  • 7.1 Review of Ecological Risk Assessment Model Methods
  • 7.2 The Selected Model Method
  • 7.3 Case Study: Application of AQUATOX Models for Ecosystem Risk Assessment of Polycyclic Aromatic Hydrocarbons in Lake Ecosystems
  • 7.4 Perspectives
  • Acknowledgments
• Chapter 8: Development of species sensitivity distribution (SSD) models for setting up the management priority with water quality criteria of toxic chemicals
  • Abstract
  • 8.1 Introduction
  • 8.2 Methods
  • 8.3 Results and Discussion
  • 8.4 Conclusion
  • Acknowledgments
• Chapter 9: Modelling mixed forest stands: Methodological challenges and approaches
  • Abstract
  • 9.1 Introduction
  • 9.2 Review Methodology
  • 9.3 Results and Discussion
  • 9.4 Conclusions
  • Acknowledgments
• Chapter 10: Decision in agroecosystems advanced modelling techniques studying global changes in environmental sciences
  • Abstract
  • 10.1 Introduction
  • 10.2 Approaches Based on Management Strategy Simulation
  • 10.3 Design of Agroecosystem Management Strategy
  • 10.4 Strategy Design by Simulation and Learning
  • 10.5 Illustrations
  • 10.6 Conclusion
• Chapter 11: Ecosystem services in relation to carbon cycle of Asansol–Durgapur urban system, India
  • Abstract
  • 11.1 Introduction
  • 11.2 Methods
  • 11.3 Analysis and Discussion
  • 11.4 Conclusions
  • Acknowledgments
• Chapter 12: Modelling the effects of climate change in estuarine ecosystems with coupled hydrodynamic and biogeochemical models
  • Abstract
  • 12.1 Introduction
  • 12.2 Coupled Hydrodynamic and Biogeochemical Models
  • 12.3 Models as Effective Tools to Support Estuarine Climate Change Impacts Assessment
  • 12.4 Case Study: Effects of Climate Change in the Lower Trophic Levels Dynamics in the Aveiro Lagoon
  • 12.5 Conclusions
  • Acknowledgments
• Chapter 13: Modelling nitrogen and carbon cycles in Hooghly estuary along with adjacent mangrove ecosystem
  • Abstract
  • 13.1 Introduction
  • 13.2 Study Area and Experimental Works
  • 13.3 Model of Nitrogen Cycle
  • 13.4 Model of Carbon Cycle
  • 13.5 Sensitivity Analysis of the Model
  • 13.6 Model Calibration and Validation
  • 13.7 Results
  • 13.8 Discussion
  • 13.9 Conclusion
• Chapter 14: Hydrodynamic and ecosystem coupled model and its application to the eutrophication problem
  • Abstract
  • 14.1 Introduction
  • 14.2 Hydrodynamics and Ecosystem Coupled Model
  • 14.3 Example of Application
  • 14.4 Example Results of Numerical Simulation
  • 14.5 Summary and Perspective
• Chapter 15: Functioning of the phytoplankton in seas and estimates of primary production for aquatic ecosystems
  • Abstract
  • 15.1 Introduction
  • 15.2 Methods and Materials
  • 15.3 Results and Discussion
• Index

Advanced Modelling Techniques Studying Global Changes in Environmental Sciences discusses the need for immediate and effective action, guided by a scientific understanding of ecosystem function, to alleviate current pressures on the environment.

Research, especially in Ecological Modeling, is crucial to support the sustainable development paradigm, in which the economy, society, and the environment are integrated and positively reinforce each other.

Content from this book is drawn from the 2013 conference of the International Society for Ecological Modeling (ISEM), an important and active research community contributing to this arena.

Some progress towards gaining a better understanding of the processes of global change has been achieved, but much more is needed. This conference provides a forum to present current research using models to investigate actions towards mitigating and adapting to change.

• Presents state-of-the-art modeling techniques
• Drawn from the 2013 conference of the International Society for Ecological Modeling (ISEM), an important and active research community contributing to this arena
• Integrates knowledge of advanced modeling techniques in ecological and environmental sciences
• Describes new applications for sustainability

Environmental scientists and engineers, ecologists, environmental modellers and scientists studying climate change