European Landscape Classification (LANMAP) Notes

Introduction

  • Europe features a long, complex coastline and diverse elevations including mountains and lowlands.
  • The region showcases various geological and soil types, as well as a wide range of climates from Arctic to Mediterranean.
  • Historical analyses (e.g., pollen studies) illustrate the evolution of vegetation tied to land-use changes over 7000 years.
  • Characteristics of European landscapes are diverse, ranging from pristine environments (e.g., Svalbard) to engineered landscapes (e.g., Dutch polders).
  • Landscapes are defined as units of Earth's surface with distinct characteristics and significant ecological interactions.

Importance of Landscape Classification

  • Understanding landscapes is crucial for assessment, management, and protection due to their ecological and cultural significance.
  • Current challenges include landscape homogenization and loss of character driven by demographic and economic pressures, climate change, and land-use transforms.
  • The European Landscape Convention emphasizes the role of landscape as a vital element in social well-being.

LANMAP Development

  • LANMAP provides a hierarchical framework for European landscape classification, addressing the need for spatially explicit and comprehensive maps.
  • The classification is based on high-resolution data concerning climate, altitude, parent material, and land use.
  • LANMAP features four levels of hierarchy:
    • Level 1: Climate-based classifications (8)
    • Level 2: Climate and altitude (31)
    • Level 3: Climate, altitude, and parent material (76)
    • Level 4: Comprehensive classification with land cover (350 landscape types).
    • Each landscape type comprises approximately 14,000 mapping units (min. 11 km²).

Methodology and Framework

  • A transparent methodology was developed that prioritizes:
    • An objective and consistent approach
    • Flexibility and user-oriented design to accommodate various end-user needs
    • Use of GIS for handling extensive datasets efficiently.
  • The frameworks incorporate:
    • A common conceptual approach aligned with stakeholder inputs and scientific rigor.
    • Developing a standardized classification system to aid in biodiversity and environmental assessments.

Key Components and Factors of Landscape

  • Landscape components include abiotic (climate, geology) and biotic (vegetation, fauna) elements that contribute to the ecosystem's structure.
  • The relationships between these components are crucial for assessing landscape dynamics and changes.
  • Factors like land use, cultural history, and population density must be integrated but currently lack sufficient data for accurate representations.

Data Acquisition and Integration

  • Successful landscape classification relies on high-quality datasets from various sources, including:
    1. Climate data: European Environmental Stratification
    2. Altitude: Digital Elevation Models
    3. Parent material: European Soil Database
    4. Land cover: CORINE Land Cover database and others.
  • Challenges exist due to the disparity in data resolution and the need for integration across multiple datasets.

Segmentation and Typology Construction

  • Object recognition techniques and segmentation methods were employed to delineate landscape units effectively from satellite imagery.
  • A two-step approach was applied:
    1. Initial segmentation based on static layers of altitude and parent material.
    2. Refined segmentation including dynamic land cover data.

Validation and Comparisons

  • Validation involved cross-comparisons with national landscape classifications (e.g., Dutch, Spanish).
  • Observations showed LANMAP to be less detailed than some national systems but generally consistent in broader patterns.
  • National classifications vary greatly in methodology and thematic emphasis, limiting direct comparison with LANMAP.

Results

  • LANMAP, covering about 11 million km², represents a significant advancement in landscape classification at a European scale.
  • The average landscape unit size is approximately 774 km², with notable differences in sizes across regions.
  • The hierarchical classification structure aids in addressing various environmental monitoring and reporting needs.

Applications and Future Directions

  • LANMAP's utility spans across educational purposes, environmental assessments, and biodiversity studies.
  • Future improvements could include integrating cultural-historical data and enhancing ecological metrics.
  • LANMAP aims to facilitate cross-boundary landscape management and promote consistency in landscape assessment practices across Europe.