Enhanced analysis of landscape structure: Inclusion of transition zones and small-scale landscape elements

Abstract

Landscape diversity is an essential component of biodiversity because it determines the diversity of habitats and species. It is necessary to adopt an adaptive and realizable landscape structure monitoring model for ecosystem management. However, the existing methods of landscape structure analysis often do not consider the transitions between different types of patch, which are dynamic and play several functional roles in landscape structure. Another component of information that has often been ignored is “small-scale landscape elements” inside patches, which leads to within-patch heterogeneity being underestimated. This paper presents a method for solving these problems by regular landscape monitoring using RapidEye remote sensing data. We incorporate the third altitude dimension in landscape structure analysis, especially for detecting certain small-scale landscape structures such as groves, tree rows, and transitions at forest boundaries. For these detailed structures a number of landscape metrics are computed under a three-dimensional perspective. The results indicate that a more realistic and more precise representation of landscape structure is obtained on the basis of the detailed spatial scale and the true surface geometries of patches. Taking transitions into account helps smooth “edge effects” between patches and leads to more realistic quantification of fragmentation.