Ecological modelling has developed rapidly in recent decades, with the focus primarily on the restoration of lakes and wetlands. Ecological Modelling and Engineering in Lakes and Wetlands presents the progress being made in modelling for a wealth of applications. It covers the older biogeochemical models still in use today, structurally dynamic models, 3D models, biophysical models, entire watershed models, and ecotoxicological models, as well as the expansion of modeling to the Arctic and Antarctic climate-zones.

The book also addresses modelling the effect of climate change, including the development of ecological models for addressing storm water pond issues, which are increasingly important in urban regions where more concentrated rainfalls are a consequence of climate change. The ecological engineering topics covered in the book also emphasize the advancements being made in applying ecological engineering regimes for better environmental management of lakes and wetlands.

Key Features

  • Examines recent progress towards a better understanding of these two important ecosystems
  • Presents new results and approaches that can be used to develop better models
  • Discusses how to increase the synergistic effect between ecosystems engineering and modelling

Table of Contents

  • Chapter 1: Introduction
    • Abstract
    • 1.1 Models of Lakes and Wetlands
    • 1.2 Ecological Engineering Applied to Lakes and Wetlands
  • Chapter 2: Structurally Dynamic Models of Lakes
    • Abstract
    • 2.1 Introduction
    • 2.2 How to Construct Structurally Dynamic Models and Definitions of Eco-Exergy
    • 2.3 Biomanipulation
    • 2.4 Development of a SDM to Describe the Competition Between Phytoplankton and Submerged Vegetation
    • 2.5 SDM Developed for Lake Fure
    • 2.6 Summary and Conclusions
  • Chapter 3: Development of Level-IV Fugacity-Based QWASI Model for Dynamic Multimedia Fate and Transport Processes of HCHs in Lake Chaohu, China
    • Abstract
    • 3.1 Introduction
    • 3.2 Development of Level IV Fugacity-Based QWASI Model
    • 3.3 Results and Discussion
    • 3.4 Conclusion
  • Chapter 4: Eco-Risk Assessments for Toxic Contaminants Based on Species Sensitivity Distribution Models in Lake Chaohu, China
    • Abstract
    • 4.1 Introduction
    • 4.2 Materials and Methods
    • 4.3 Eco-Risk Assessments for OCPs in Lake Chaohu
    • 4.4 Eco-Risk Assessments for PAHs in Lake Chaohu
  • Chapter 5: Addressing the Uncertainty in Modeling Watershed Nonpoint Source Pollution
    • Abstract
    • 5.1 Introduction to the Issue
    • 5.2 Uncertainty in Modeling NPS Pollution: State of the Art
    • 5.3 Uncertainty Analysis for Complex NPS Pollution Models
    • 5.4 Improving Data and Model Structure: Future Directions
  • Chapter 6: Extending the Application of Network Analysis to Ecological Risk Assessment for Aquatic Ecosystems
    • Abstract
    • 6.1 Introduction
    • 6.2 General Framework of Applying Network Analysis to ERA
    • 6.3 INA for ERA: Methodology and Rationale
    • 6.4 A Case Study of the Application of INA: ERA of a River Ecosystem Intercepted by Damming


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© 2014
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