META-X®-Software for Metapopulation Viability Analysis
Herausgegeben von UFZ-Centre for Environmental Research Leipzig-Halle
(Sprache: Englisch)
Meta-X is a user-friendly computer program that allows students, teachers, and researchers to perform a metapopulation viability analysis i.e. to assess the extinction risk of (meta)populations on discrete, partially isolated patches of habitat, in a...
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Klappentext zu „META-X®-Software for Metapopulation Viability Analysis “
Meta-X is a user-friendly computer program that allows students, teachers, and researchers to perform a metapopulation viability analysis i.e. to assess the extinction risk of (meta)populations on discrete, partially isolated patches of habitat, in a comfortable way. The CD comes with an extensive handbook which explains the basic concept of the program and takes you on a guided tour through a model experiment. It further provides the necessary scientific background on both metapopulation dynamics and population viability analysis. A special feature of Meta-X is that it supports comparative analyses of alternative scenarios. This predestines Meta-X to serve as an aid for decision making in conservation management and landscape planning. Furthermore, handbook and software together provide an invaluable help in research and teaching.
Inhaltsverzeichnis zu „META-X®-Software for Metapopulation Viability Analysis “
1.1 What Is META-X?- Metapopulation
- PVA
- Ecological Models
1.2 What Is so Special About META-X?
1.3 In What Areas Can META-X Be Used?
- In Teaching
- In Empirical Research
- In Biological Conservation and Planning
1.4 What Do You Need to Use META-X?
1.5 What Cannot Be Done with META-X?
1.6 News on META-X
- Installation
- Basic Concepts
4.1 The Model
4.2 Landscape Structure
- Position of Patches
- Initial Occupancy
- Net of Connections
4.3 Patch Characteristics
- Local Extinction Rate
- Number of Emigrants
- Number of Immigrants Needed
4.4 Spatial Processes
- Dispersal
- Correlated Extinctions
4.5 Simulation
- Control Parameters
- Interactive Simulations
- Automatic Simulations
4.6 Evaluation
4.7 Organizing Projects
- Scenarios
- Experiments
- Projects
4.8 The META-X Steps
- Guided Tour
5.1 Your First META-X Experiment
- Defining a New Project
- Creating a New Project by Saving
- Enter Project Documentation
- Creating and Documenting Your First Experiment
- Naming the Species and Delineating the Landscape
- Defining Control Parameters
- Scenario: Documentation and Defining the Landscape
- Patch Characteristics
- Connection Between Patches
- Correlation Length
- Dispersal Range
- Main Model Parameters
- Saving the Project to Your Hard Disk
5.2 Interactive Simulation
- Choosing a Scenario
- Interactive Simulation
- Check Parameters
- Pattern of Occupancy
- Modifying the Scenario
- Mean Time to Extinction
- Adding a Second Scenario
5.3 Automatic Simulation
5.4 Evaluation
5.5 Generating a Report
5.6 Where Next?
- The Project Tree
6.1 The Elements of the Project Tree
- The Root of the Project Tree
- The Experiments Branch
- The Scenarios Branch
6.2 Working with the Project Tree
- Working with Experiments
- Working with Scenarios
- Scenarios and Experiments
7.1 The Experiment Wizard
- Compile Documentation
- Specify the Species and the Study Area
- Specify Control Parameters
- Specify New
... mehr
Scenario (Based on...)
- Modify Existing Scenario
- Complete Definition
7.2 The Scenario Wizard
- Documentation of the Scenario
- Number of Patches for a Scenario
- Position of Patches
- Patch Characteristics
- Connection of Patches
- Correlation Length
- Correlation Length (Direct)
- Correlation Length (Indirect)
- Mean Dispersal Range
- Mean Dispersal Range (Direct)
- Mean Dispersal Range (Indirect)
- Rates of Colonization
- Main Model Parameters
- Control Parameters for the Whole Experiment
- End of the Scenario Specification
7.3 Homogeneous Parameters
7.4 User-Defined Scenarios and the Parameter Hierarchy of META-X
- Submodels
- The Standard Submodels of META-X
- User-Defined
- Parameter Hierarchy
- Update Matrix: Warning Message
- Simulation and Evaluation
8.1 Interactive Simulation
- Metapopulation Dynamics
- Recorded Data
- Diagrams
- Control Unit
- Further Analysis - FD
- Further Analysis - TM
- Change Scenario
8.2 Simulation and Evaluation of Scenarios
- Automatic Simulation
- Evaluation
8.3 Simulation and Evaluation of Experiments
- Select Experiments and Scenarios
- Check Control Parameters
- Batch Simulation
- What to Evaluate?
- Evaluation
- The Landscape Editor
9.1 Elements of the Landscape Editor
9.2 Visualization
9.3 Modifying Existing Scenarios
9.4 Saving Your Work with the Apply Button
9.5 Creating New Scenarios
- Parameter Variation
10.1 Variation Experiments
- Creating Variation Experiments (1)
- Creating Variation Experiments (2)
- Modify Variation Experiments
- Resetting Variation Experiments
10.2 Simulation, Evaluation and Reports
- Import, Export and Report
11.1 Import of Model Parameters
- Format of Import Files
11.2 Export of Simulation Results
11.3 Reports
- Report of Scenarios
- Report of Experiments
- Report of Projects
11.4 Exporting Graphs to the Clipboard
- Reference
12.1 The META-X Menu
- The File Menu
- The Edit Menu
- The View Menu
- The Experiment Menu
- The Scenario Menu
- The Parameter Variation Menu
- The Editor Menu
- The Tools Menu
- The Window Menu
- The Help Menu
12.3 Context Menus
- Project Tree
- Landscape Editor
- Evaluation
12.4 Warning Messages
- Scenario Wizard Warning Messages
- Landscape Editor Warning Messages
- Interactive Simulation Warning Messages
- Goals, Methods, and Concepts of PVA
13.1 Introduction
13.2 Goals of PVA
13.3 Ecological Models for PVA
13.4 A Stochastic Example Model
- 1st Element: Demographic Noise
- 2nd Element: Environmental Noise
- 3rd Density Dependence
- Implementing the Example Model
- Results of the Example Model
13.5 Quantifying Persistence and Viability
- Established Phase and Intrinsic Mean Time to Extinction
- Persistence and Viability
- The ln(1-P0) plot
13.6 Dealing with Uncertainty
- Relative Risk Assessment
- Sensitivity Analysis
13.7 Overview of PVA Models
13.8 Potentials and Limitations of PVA
13.9 Metapopulation Viability Analysis
13.10 Alternatives to Tailored PVA Models
13.11 The Conception of META-X
13.12 Suggested Reading
- Appendix: Technical Aspects of the ln(1-P0) Plot
- The META-X Model in Detail
14.1 Introduction
14.2 The Main Model
- Local Extinction
- Correlated Extinction
- Recolonization
14.3 The Submodels Provided by META-X
- A Submodel for the Degree of Correlation of Local Extinction
- A Submodel for the Rate of Colonization
- A Submodel for Reachability
14.4 Summary and Discussion
- Appendix: the Simulation Algorithm
- Parameterizing META-X
15.1 Introduction
15.2 General Concepts of Parameterization
- Direct Parameterization of Main Model Parameters
- Indirect Parameterization
- Mechanistic Submodels
- 'soft' Data, Empirical Knowledge and Hypotheses
15.3 Dealing with Uncertainty
- Upper and Lower Boundaries
- Scenarios
- Parameter Variation
15.4 Some Specific Guidelines
- Parameterizing the Landscape
- Local Patch Characteristics
- Correlated Extinctions
- Colonization
15.5 Summary and Discussion
- Example Applications
16.1 Introduction
16.2 Examples of Theoretical Problems
- Demonstrating and Analysing the Minimal Dispersal Range
- Increasing the Number of Emigrants from a Certain Patch
16.3 Examples of PVA for Specific Metapopulations
- Ecological Uncertainty and the Ranking of Management Options:
- Metapopulation Scenarios of Capercaillie Tetrao urogallus in the Bavarian Alps
16.4 Example of Decision Support for Landscape Management
16.5 Summary
- References
- Modify Existing Scenario
- Complete Definition
7.2 The Scenario Wizard
- Documentation of the Scenario
- Number of Patches for a Scenario
- Position of Patches
- Patch Characteristics
- Connection of Patches
- Correlation Length
- Correlation Length (Direct)
- Correlation Length (Indirect)
- Mean Dispersal Range
- Mean Dispersal Range (Direct)
- Mean Dispersal Range (Indirect)
- Rates of Colonization
- Main Model Parameters
- Control Parameters for the Whole Experiment
- End of the Scenario Specification
7.3 Homogeneous Parameters
7.4 User-Defined Scenarios and the Parameter Hierarchy of META-X
- Submodels
- The Standard Submodels of META-X
- User-Defined
- Parameter Hierarchy
- Update Matrix: Warning Message
- Simulation and Evaluation
8.1 Interactive Simulation
- Metapopulation Dynamics
- Recorded Data
- Diagrams
- Control Unit
- Further Analysis - FD
- Further Analysis - TM
- Change Scenario
8.2 Simulation and Evaluation of Scenarios
- Automatic Simulation
- Evaluation
8.3 Simulation and Evaluation of Experiments
- Select Experiments and Scenarios
- Check Control Parameters
- Batch Simulation
- What to Evaluate?
- Evaluation
- The Landscape Editor
9.1 Elements of the Landscape Editor
9.2 Visualization
9.3 Modifying Existing Scenarios
9.4 Saving Your Work with the Apply Button
9.5 Creating New Scenarios
- Parameter Variation
10.1 Variation Experiments
- Creating Variation Experiments (1)
- Creating Variation Experiments (2)
- Modify Variation Experiments
- Resetting Variation Experiments
10.2 Simulation, Evaluation and Reports
- Import, Export and Report
11.1 Import of Model Parameters
- Format of Import Files
11.2 Export of Simulation Results
11.3 Reports
- Report of Scenarios
- Report of Experiments
- Report of Projects
11.4 Exporting Graphs to the Clipboard
- Reference
12.1 The META-X Menu
- The File Menu
- The Edit Menu
- The View Menu
- The Experiment Menu
- The Scenario Menu
- The Parameter Variation Menu
- The Editor Menu
- The Tools Menu
- The Window Menu
- The Help Menu
12.3 Context Menus
- Project Tree
- Landscape Editor
- Evaluation
12.4 Warning Messages
- Scenario Wizard Warning Messages
- Landscape Editor Warning Messages
- Interactive Simulation Warning Messages
- Goals, Methods, and Concepts of PVA
13.1 Introduction
13.2 Goals of PVA
13.3 Ecological Models for PVA
13.4 A Stochastic Example Model
- 1st Element: Demographic Noise
- 2nd Element: Environmental Noise
- 3rd Density Dependence
- Implementing the Example Model
- Results of the Example Model
13.5 Quantifying Persistence and Viability
- Established Phase and Intrinsic Mean Time to Extinction
- Persistence and Viability
- The ln(1-P0) plot
13.6 Dealing with Uncertainty
- Relative Risk Assessment
- Sensitivity Analysis
13.7 Overview of PVA Models
13.8 Potentials and Limitations of PVA
13.9 Metapopulation Viability Analysis
13.10 Alternatives to Tailored PVA Models
13.11 The Conception of META-X
13.12 Suggested Reading
- Appendix: Technical Aspects of the ln(1-P0) Plot
- The META-X Model in Detail
14.1 Introduction
14.2 The Main Model
- Local Extinction
- Correlated Extinction
- Recolonization
14.3 The Submodels Provided by META-X
- A Submodel for the Degree of Correlation of Local Extinction
- A Submodel for the Rate of Colonization
- A Submodel for Reachability
14.4 Summary and Discussion
- Appendix: the Simulation Algorithm
- Parameterizing META-X
15.1 Introduction
15.2 General Concepts of Parameterization
- Direct Parameterization of Main Model Parameters
- Indirect Parameterization
- Mechanistic Submodels
- 'soft' Data, Empirical Knowledge and Hypotheses
15.3 Dealing with Uncertainty
- Upper and Lower Boundaries
- Scenarios
- Parameter Variation
15.4 Some Specific Guidelines
- Parameterizing the Landscape
- Local Patch Characteristics
- Correlated Extinctions
- Colonization
15.5 Summary and Discussion
- Example Applications
16.1 Introduction
16.2 Examples of Theoretical Problems
- Demonstrating and Analysing the Minimal Dispersal Range
- Increasing the Number of Emigrants from a Certain Patch
16.3 Examples of PVA for Specific Metapopulations
- Ecological Uncertainty and the Ranking of Management Options:
- Metapopulation Scenarios of Capercaillie Tetrao urogallus in the Bavarian Alps
16.4 Example of Decision Support for Landscape Management
16.5 Summary
- References
... weniger
Bibliographische Angaben
- Autoren: Karin Frank , Helmut Lorek , Frank Köster , Michael Sonnenschein , Christian Wissel , Volker Grimm
- 2014, Softcover reprint of the original 1st ed. 2003, XII, 195 Seiten, Masse: 15,4 x 23,6 cm, Kartoniert (TB), Englisch
- Herausgegeben: UFZ-Centre for Environmental Research Leipzig-Halle
- Verlag: Springer, Berlin
- ISBN-10: 3642629067
- ISBN-13: 9783642629068
Sprache:
Englisch
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