Landscape approaches and GIS for biodiversity management

Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearchpeer-review

Authors

  • Stefan Schindler
  • Kostas Poirazidis
  • Aristoteles Papageorgiou
  • Dionisios Kalivas
  • Henrik von Wehrden
  • Vassiliki Kati
Remote sensing now routinely provides environmental information ranging from global to local scales, and geographical information systems provide, among other applications, necessary interfaces to store, analyse and visualise spatial data; increased computational capacities triggered even more such applications. In this chapter, we demonstrate how the combination of landscape approaches, remote sensing and GIS aids conservation and management of biodiversity. We therefore summarise six case studies from Dadia National Park (Dadia NP), in northeastern Greece. The studies aimed at (1) modelling of nesting habitat for a flagship species, (2) evaluation of land-use change, (3) detecting statistical dimensions and spatial patterns of landscape structure, (4) testing the performance of landscape metrics as indicators of biodiversity, (5) developing a GIS approach for a systematic raptor monitoring, and (6) developing a decision-support system to optimise conservation of biodiversity in managed forests.
Original languageEnglish
Title of host publicationLandscape modelling : geographical space, transformation and future scenarios
EditorsJiri Andel, Ivan Bicik, Petr Dostal, Zdenek Lipsky, Siamak G. Shahneshin
Number of pages12
Place of PublicationDordrecht
PublisherSpringer Netherlands
Publication date2010
Pages171-182
ISBN (print)978-90-481-3051-1
ISBN (electronic)978-90-481-3052-8
DOIs
Publication statusPublished - 2010
Externally publishedYes

Bibliographical note

Conference: "Living Landscape: Memory, Transformation and Future Scenarios". Ústí nad Labem, 2008.11.

    Research areas

  • Biology
  • Ecosystems Research - Landscape Structure, Landscape Metrics, Nest Habitat, Landscape Approach, Edge Contrast