Note: Cover -- Half Title -- Series Title -- Title -- Copyright -- Contents -- Acknowledgements -- Series Preface -- Introduction -- PART I CLIMATE CHANGE AND ITS IMPACTS -- 1 John Houghton (2001), 'The Science of Global Warming', Interdisciplinary Science Reviews, 26, pp. 247-57. -- 2 Brent Sohngen and Robert Mendelsohn (1998), 'Valuing the Impact of Large-Scale Ecological Change in a Market: The Effect of Climate Change on U.S. Timber', American Economic Review, 88, pp. 686-710. -- 3 Kenneth D. Frederick and David C. Major (1997), 'Climate Change and Water Resources', Climatic Change, 37, pp. 7-23. -- 4 Gary Yohe and Michael Schlesinger (2002), 'The Economic Geography of the Impacts of Climate Change', Journal of Economic Geography, 2, pp. 311-41. -- 5 Allan D. Brunner (2002), 'El Nino and World Primary Commodity Prices: Warm Water or Hot Air?', Review of Economics and Statistics, 84, pp. 176-83. -- 6 Robert Mendelsohn, William D. Nordhaus and Daigee Shaw (1994), 'The Impact of Global Warming on Agriculture: A Ricardian Analysis', American Economic Review, 84, pp. 753-71. -- 7 John Quiggin and John K. Horowitz (1999), 'The Impact of Global Warming on Agriculture: A Ricardian Analysis: Comment', American Economic Review, 89, pp. 1044-45. -- 8 Robert Mendelsohn and William Nordhaus (1999), 'The Impact of Global Warming on Agriculture: A Ricardian Analysis: Reply', American Economic Review, 89, pp. 1046-48. -- 9 Roy Darwin (1999), 'The Impact of Global Warming on Agriculture: A Ricardian Analysis: Comment', American Economic Review, 89, pp. 1049-52. -- 10 Robert Mendelsohn and William Nordhaus (1999), 'The Impact of Global Warming on Agriculture: A Ricardian Analysis: Reply', American Economic Review, 89, pp. 1053-55. -- PART II EVALUATING THE COSTS AND BENEFITS OF CLIMATE CHANGE MITIGATION. , 11 William D. Nordhaus (1993), 'Rolling the "DICE": An Optimal Transition Path for Controlling Greenhouse Gases', Resource and Energy Economics, 15, pp. 27-50. -- 12 Richard S.J. Tol (1999), 'The Marginal Costs of Greenhouse Gas Emissions', Energy Journal, 20, pp. 61-81. -- 13 Tim Roughgarden and Stephen H. Schneider (1999), 'Climate Change Policy: Quantifying Uncertainties for Damages and Optimal Carbon Taxes', Energy Policy, 27, pp. 415-29. -- 14 Lawrence H. Goulder and Koshy Mathai (2000), 'Optimal C02 Abatement in the Presence of Induced Technological Change', Journal of Environmental Economics and Management, 39, pp. 1-38. -- 15 Charles D. Kolstad (1996), 'Learning and Stock Effects in Environmental Regulation: The Case of Greenhouse Gas Emissions', Journal of Environmental Economics and Management, 31, pp. 1-18. -- 16 Christian Azar and Thomas Sterner (1996), 'Discounting and Distributional Considerations in the Context of Global Warming', Ecological Economics, 19, pp. 169-84. -- 17 Richard B. Howarth (2000), 'Climate Change and the Representative Agent', Environmental and Resource Economics, 15, pp. 135-48. -- 18 Thomas C. Schelling (1995), 'Intergenerational Discounting', Energy Policy, 23, pp. 395-401. -- 19 T.M.L. Wigley, R. Richels and J.A. Edmonds (1996), 'Economic and Environmental Choices in the Stabilization of Atmospheric C02 Concentrations', Nature, 379, pp. 240-43. -- 20 Zhongxiang Zhang (2000), 'Decoupling China's Carbon Emissions Increase from Economic Growth: An Economic Analysis and Policy Implications', World Development, 28, pp. 739-52. -- 21 Robert C. Hyman, John M. Reilly, Mustafa H. Babiker, Ardoin De Masin and Henry D. Jacoby (2003), 'Modeling N on-C02 Greenhouse Gas Abatement', Environmental Modeling and Assessment, 8, pp. 175-86. , 22 Richard G. Newell and Robert N. Stavins (2000), 'Climate Change and Forest Sinks: Factors Affecting the Costs of Carbon Sequestration', Journal of Environmental Economics and Management, 40, pp. 211-35. -- 23 Andrew J. Plantinga, Thomas Mauldin and Douglas J. Miller (1999), 'An Econometric Analysis of the Costs of Sequestering Carbon in Forests', American Journal of Agricultural Economics', 81, pp. 812-24. -- PART III POLICY DESIGN FOR GHG MITIGATION -- 24 Ian W.H. Parry and Roberton C. Williams III (1999), 'A Second-Best Evaluation of Eight Policy Instruments to Reduce Carbon Emissions', Resource and Energy Economics, 21, pp. 347-73. -- 25 William A. Pizer (2002), 'Combining Price and Quantity Controls to Mitigate Global Climate Change', Journal of Public Economics, 85, pp. 409-34. -- 26 Michael Grubb (1997), 'Technologies, Energy Systems and the Timing of C02 Emissions Abatement: An Overview of Economic Issues', Energy Policy, 25, pp. 159-72. -- 27 Adam B. Jaffe and Robert N. Stavins (1994), 'Energy-Efficiency Investments and Public Policy', Energy Journal, 15, pp. 43-65. -- 28 P.R. Shukla (1996), 'The Modelling of Policy Options for Greenhouse Gas Mitigation in India', Ambio, 25, pp. 240-48. -- 29 Scott Barrett (1998), 'Political Economy of the Kyoto Protocol', Oxford Review of Economic Policy, 14, pp. 20-39. -- 30 Adam Rose, Brandt Stevens, Jae Edmonds and Marshall Wise (1998),' International Equity and Differentiation in Global Warming Policy: An Application to Tradeable Emission Permits', Environmental and Resource Economics, 12, pp. 25-51. -- 31 Zili Yang (1999), 'Should the North Make Unilateral Technology Transfers to the South? North-South Cooperation and Conflicts in Responses to Global Climate Change', Resource and Energy Economics, 21, pp. 67-87. , 32 Mustafa Babiker, John M. Reilly and Henry D. Jacoby (2000), 'The Kyoto Protocol and Developing Countries', Energy Policy, 28, pp. 525-36. -- Name Index.

Note: Intro -- Contents -- Part I: Introduction -- Chapter 1: Ecological Informatics: An Introduction -- 1.1 Introduction -- 1.2 Data Management -- 1.3 Analysis and Synthesis -- 1.4 Communicating and Informing Decisions -- 1.5 Case Studies -- References -- Part II: Managing Ecological Data -- Chapter 2: Project Data Management Planning -- 2.1 Introduction -- 2.2 Components of a Data Management Plan -- 2.2.1 Context -- 2.2.2 Data Collection and Acquisition -- 2.2.3 Data Organization -- 2.2.4 Quality Assurance/Quality Control -- 2.2.5 Documentation -- 2.2.6 Storage and Preservation -- 2.2.7 Data Integration, Analysis, Modeling and Visualization -- 2.2.8 Data Policies -- Box 2.1 Recommended Data Citation Guidelines from Dryad Digital Repository (2016) -- 2.2.9 Communication and Dissemination of Research Outputs -- 2.2.10 Roles and Responsibilities -- 2.2.11 Budget -- 2.3 Developing and Using a Data Management Plan -- 2.3.1 Best Practices for Creating the Plan -- 2.3.2 Using the Plan -- 2.4 Conclusion -- References -- Chapter 3: Scientific Databases for Environmental Research -- 3.1 Introduction -- 3.2 Challenges for Scientific Databases -- 3.3 Examples of Scientific Databases -- 3.3.1 A Useful Analogy -- 3.3.2 Examples of Databases -- 3.4 Evolving a Database -- 3.4.1 A Strategy for Evolving a Database -- 3.4.2 Choosing Software -- 3.4.3 Database Management System (DBMS) Types -- 3.4.4 Data Models and Normalization -- 3.4.5 Advantages and Disadvantages of Using a DBMS -- 3.5 Interlinking Information Resources -- 3.5.1 A Database Related to the Human Genome Project -- 3.5.2 Environmental Databases for Sharing Data -- 3.5.3 Tools for Interlinking Information -- 3.6 Conclusions -- References -- Chapter 4: Quality Assurance and Quality Control (QA/QC) -- 4.1 Introduction -- 4.2 Quality Assurance -- 4.3 Quality Control -- 4.3.1 Data Filters. , 4.3.2 Graphical QC -- 4.3.3 Statistical QC -- 4.3.4 Treatment of Errors and Outliers -- 4.4 Implementing QA/QC -- 4.5 Conclusion -- References -- Chapter 5: Creating and Managing Metadata -- 5.1 Introduction -- 5.2 Metadata Descriptors -- 5.3 Metadata Standards -- 5.3.1 Dublin Core Metadata Initiative -- 5.3.2 Darwin Core -- 5.3.3 Ecological Metadata Language -- 5.3.4 GBIF Metadata Profile -- 5.3.5 FGDC CSDGM -- 5.3.6 ISO 19115 -- 5.4 Metadata Management -- 5.4.1 Metadata Tools -- 5.4.2 Best Practices for Creating and Managing Metadata -- 5.5 Conclusion -- References -- Chapter 6: Preserve: Protecting Data for Long-Term Use -- 6.1 Introduction -- 6.1.1 Preservation and Its Benefits -- 6.2 Practices for Preserving Ecological Data -- 6.2.1 Define the Contents of Your Data Files -- 6.2.2 Define the Parameters -- 6.2.3 Use Consistent Data Organization -- 6.2.4 Use Stable File Formats -- 6.2.5 Specify Spatial Information -- 6.2.6 Assign Descriptive File Names -- 6.2.7 Document Processing Information -- 6.2.8 Perform Quality Assurance -- 6.2.9 Provide Documentation -- 6.2.10 Protect Your Data -- 6.3 Prepare Your Data for Archival -- 6.4 What the Archive Does -- 6.4.1 Quality Assurance -- 6.4.2 Documentation and Metadata -- 6.4.3 Release of a Data Set -- 6.5 Data Users -- 6.6 Conclusions -- Appendix: Example R-Script for Processing Data -- References -- Chapter 7: Data Discovery -- 7.1 Introduction -- 7.2 Discovering Data Created by Others -- 7.2.1 Internet Search Engines -- 7.2.2 Data Repositories -- 7.2.3 Data Directories -- 7.2.4 Data Aggregators -- 7.3 Best Practices for Promoting Data Discovery and Reuse -- 7.3.1 Data Products -- Box 7.1 DataCite Recommendations for Data Citation -- Box 7.2 Dryad Digital Repository Data Citation Recommendations -- 7.3.2 Scientific Code -- References -- Chapter 8: Data Integration: Principles and Practice. , 8.1 Introduction -- 8.2 Essential Characteristics of All Data -- 8.3 Data as Records About Reality -- 8.4 Record-Keeping and Prose Documents as Data Integration Challenges -- 8.5 Formal Data Structures Facilitate Integration -- 8.5.1 Sets and Sequences -- 8.5.2 Matrices -- 8.5.3 Cross-classifications -- 8.5.4 Tables -- 8.5.5 Tables or Spreadsheets? -- 8.5.6 Tables or Cross-classifications? -- 8.5.7 Modeling True Tables -- 8.5.8 Need for Global Keys -- 8.6 Merging or JOINing Tables -- 8.6.1 APPENDING or Unioning -- 8.6.2 JOINs -- 8.7 The Datum Is the Atom -- 8.8 Conclusion -- References -- Part III: Analysis, Synthesis and Forecasting of Ecological Data -- Chapter 9: Inferential Modelling of Population Dynamics -- 9.1 Introduction -- 9.2 Inferential Modelling of Ecological Data by the Hybrid Evolutionary Algorithm -- 9.2.1 Population Dynamics of the Cyanobacterium Microcystis in Lake Müggelsee (Germany) -- 9.2.2 Meta-Analysis of Population Dynamics of the Cyanobacterium -- 9.3 Inferential Modelling of Ecological Data by Regression Trees -- 9.3.1 Induction Algorithm of Regression Trees -- 9.3.2 Pruning of Regression Trees -- 9.3.3 Diatom Populations in Lake Prespa (Mazedonia) -- 9.3.4 Vegetation Status of Selected Land Sites in Victoria (Australia) -- 9.4 Conclusions -- References -- Chapter 10: Process-Based Modeling of Nutrient Cycles and Food-Web Dynamics -- 10.1 Introduction -- 10.2 Zero- and One-Dimensional Lake Models -- 10.2.1 Zero-Dimensional Model for the Phosphorus Cycle in a Hypereutrophic Wetland -- 10.2.2 One-Dimensional Model for Nutrient Cycles and Plankton Dynamics in Lakes and Reservoirs -- 10.3 Multi-dimensional Lake Models -- 10.3.1 Horizontal and Vertical Transport of Nutrients and Organisms -- 10.3.2 Multi-segment Lake Model for Studying Dreissenids and Macrophytes -- 10.4 Concluding Remarks -- References. , Chapter 11: Uncertainty Analysis by Bayesian Inference -- 11.1 Does Uncertainty Really Matter? -- 11.2 Hamilton Harbour -- 11.2.1 Introduction -- 11.2.2 Eutrophication Modeling to Elucidate the Role of Lower Food Web -- 11.2.3 Nutrient Export Modeling for the Hamilton Harbour Watershed -- 11.3 Bay of Quinte -- 11.3.1 Introduction -- 11.3.2 Modeling the Relationship Among Watershed Physiography, Land Use Patterns, and Phosphorus Loading -- 11.3.3 Eutrophication Risk Assessment with Process-Based Modeling and Determination of Water Quality Criteria -- 11.4 Concluding Remarks -- References -- Chapter 12: Multivariate Data Analysis by Means of Self-Organizing Maps -- 12.1 Introduction -- 12.2 Properties of a Self-Organizing Map -- 12.3 Data Preparation -- 12.3.1 Missing Values and Outliers -- 12.3.2 Data Transformation -- 12.3.3 Distance Measure -- 12.4 Self-Organizing Maps -- 12.4.1 Architecture -- 12.4.2 Learning Algorithm -- Box 12.1 Sequential Learning Algorithm of an SOM -- 12.4.3 Evaluation of Trained Map Quality -- 12.4.4 Optimum Map Size -- 12.4.5 Clustering SOM Units -- 12.4.6 Evaluation of Input Variables -- 12.4.7 Relations Between Biological and Environmental Variables -- 12.5 Application in Ecological Modelling -- 12.6 SOM Tools -- 12.7 Example of SOM Application -- 12.8 Advantages and Disadvantages -- 12.8.1 Utility for Training and Information Extraction -- 12.8.2 Visualization and Recognition -- 12.8.3 Architecture Flexibility -- 12.8.4 Flexibility in Combining with Other Models -- 12.8.5 Constraints on Measure Consistency and Output Variability -- 12.8.6 Necessity of Sufficient Data -- 12.9 Future Development -- 12.10 Conclusions -- References -- Chapter 13: GIS-Based Data Synthesis and Visualization -- 13.1 Introduction -- 13.2 Synthesizing Species Distributions by Virtual Species. , 13.3 Cartograms to Synthesize and Visualize Sampling Effort Bias -- 13.4 Fuzzy Methods to Synthesize Species Distribution Uncertainty -- 13.5 Synthesis of Remote Sensing Data -- 13.5.1 Exploratory Data Analysis -- 13.5.1.1 Correlation of Remotely Sensed Bands by Hexagon Binning -- 13.5.1.2 Correlation Among Several Layers by Texture Measures -- 13.5.2 Fourier Transformations -- 13.6 Synthesizing Diversity Measurements from Space: The Case of Generalized Entropy -- 13.7 Neutral Landscapes -- 13.8 Conclusions -- References -- Part IV: Communicating and Informing Decisions -- Chapter 14: Communicating and Disseminating Research Findings -- 14.1 Introduction -- 14.2 Publishing Research Findings -- 14.2.1 Scholarly Publications -- 14.2.1.1 Journal Articles -- 14.2.1.2 Abstracts -- 14.2.1.3 Technical Reports -- 14.2.1.4 Books and Book Chapters -- 14.2.2 Newspaper and Magazine Articles for General Audiences -- 14.2.3 Designing Effective Figures -- 14.3 Communicating Research Findings Outside of Publications -- 14.3.1 Simple Steps for Giving an Effective Presentation -- 14.3.2 Best Practices for Slides -- 14.3.2.1 Slide Design -- 14.3.2.2 Text Slides -- 14.3.2.3 Graphics -- 14.3.3 Handouts -- 14.3.4 Posters -- 14.4 Communication in a Virtual Environment -- 14.4.1 Websites -- 14.4.2 Types and Uses of Different Social Media -- 14.4.3 Simple Steps for Effective Use of Social Media -- 14.4.4 Understanding Your Social Media Impact -- 14.5 Metrics and Altmetrics -- 14.6 Conclusion -- References -- Chapter 15: Operational Forecasting in Ecology by Inferential Models and Remote Sensing -- 15.1 Introduction -- 15.2 Early Warning of HABs Based on Inferential Modelling -- 15.2.1 Cyanobacterium Cylindrospermopsis in Lake Wivenhoe (Australia) -- 15.2.2 Cyanotoxin Microcystins in Lake Vaal (South Africa) -- 15.3 Early Warning of HABs Based on Remotely-Sensed Data. , 15.3.1 Earth Observation of Water Quality Parameters.