On the sensitivity and significance test of vegetation boundary detection

Körmöczi, L. (2005) On the sensitivity and significance test of vegetation boundary detection. Community Ecology, 6 (1). pp. 75-81. ISSN 1585-8553

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Abstract

A most widespread technique in vegetation boundary detection is the Moving Split Window analysis. It is effective in single edge cases provided that the attributes are highly correlated. In dry grasslands with mosaic structure, boundary zones are frequent, they are rather close to one another, causing some uncertainty in edge detection. Artificial community patterns were used to reveal the response of dissimilarity/distance functions to the number and distance of edges and to window sizes. Dissimilarity functions are sensitive to the compositional difference of the adjacent patches, and the dissimilarity increases with window size. The usual significance test highly depends on the patch size and edge frequency, therefore additional analyses must be applied or other randomization methods should be found that can ignore the effect of patch size.

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