Linking Forest Spatial Pattern Analysis With Network Theory

The analysis of forest spatial pattern and habitat corridors is an important component in conservation and restoration policies. Morphological Spatial Pattern Analysis (MSPA) provides an intuitive description of image pattern structures as well as a reliable detection of connecting pathways. This pattern analysis can then be transferred for further studies using network theory approaches, which are particularly suited to quantify the importance of the MSPA-detected nodes and links. The free software toolbox GUIDOS is designed to provide appropriate tools for the application of recent research studies to scientists and especially newcomers in the field of landscape ecology. GUIDOS supports generic image processing tasks, MSPA analysis, and network theory examinations based on Conefor Sensinode. The combination of spatial pattern and network analysis is mutual beneficial and adds value in risk assessment studies, landscape planning, and socio-economic sustainability. The key features of MSPA and network analysis in GUIDOS will be illustrated and explained on a sample data set.

VOGT Peter; 

2011-01-26

Instituto Politecnico de Braganca

JRC62887