Chapter 12. Changing Landscapes: Optimum Landscape Patterns

  1. Dr. Ralf Seppelt

Published Online: 8 JUN 2007

DOI: 10.1002/9783527611515.ch12

Computer-Based Environmental Management

Computer-Based Environmental Management

How to Cite

Seppelt, R. (2003) Changing Landscapes: Optimum Landscape Patterns, in Computer-Based Environmental Management, Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany. doi: 10.1002/9783527611515.ch12

Author Information

  1. Institute of Geoecology, Technical University Braunschweig, Langer Kamp 19c, 38106 Braunschweig, Germany

Publication History

  1. Published Online: 8 JUN 2007
  2. Published Print: 26 SEP 2003

ISBN Information

Print ISBN: 9783527307326

Online ISBN: 9783527611515

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Keywords:

  • changing landscapes;
  • optimum landscape patterns;
  • performance criteria for landscape optimization;
  • economic-ecologic assessment;
  • assessment of ecosystem functions;
  • validation of concept;
  • results of multi-criteria optimization;
  • climatic variability and optimum land use patterns;
  • multi-scale analysis of landscape patterns

Summary

This chapter contains sections titled:

  • Introduction

  • Performance Criteria for Landscape Optimization

    • Economic–Ecologic Assessment

    • Localization of Optimization Problem

    • Multi-criteria Assessment of Ecosystem Functions

    • Numerical Effort

  • Validation of Concept: Results for Hunting Creek Watershed

    • Local Optimization

    • Monte Carlo Simulations

    • Statistical Analysis

    • Genetic Algorithms

  • Results of Multi-criteria Optimization

    • General Results for Optimum Land Use Patterns

    • Scenarios of Optimized Land Use Patterns

  • Climatic Variability and Optimum Land Use Patterns

  • Multi-scale Analysis of Landscape Patterns

    • Distance Measure of Discrete Maps

    • “Correlation”-analysis of Landscape Patterns

    • Optimization Results on Differing Scales

  • Summary and Outlook

    • Methodological Aspects

    • Optimization Results as Multi-stage Decision Process

    • Application of Results

    • Patterns and Processes

    • Outlook