Summary: | Edge influence, the set of modifications in the natural environment next to abrupt anthropogenic or natural edges, is a serious threat to biodiversity in fragmented environments. Common examples of edge influence include an increased abundance of exotic species and modifications in vegetation structure and/or composition. Edges of linear disturbances, such as roads, powerlines, and firebreaks, are especially important due to their ubiquity in the landscape. Although such disturbances are much narrower than other anthropogenic land uses, they have been shown to affect adjacent plant and animal communities. The combination of edge influence with the natural variation in vegetation may lead to complex and not easily discernible patterns. However, this natural variation is not usually taken into account in studies of edge influence. We employed a spatial pattern approach to study edge influence from narrow linear disturbances while accounting for variation in vegetation (both natural and from disturbance history), in Brazilian cerrado and in Canadian forest-tundra ecotone. Our main objectives were 1) to assess the overall heterogeneity in the cover of native and invasive graminoids, structural diversity and species composition, and 2) to verify whether the spatial pattern of different response variables is affected by anthropogenic edges. Secondary objectives include: 3) to explore different ways in which wavelet transforms and Monte Carlo simulations may be used to assess edge influence, 4) to compare different structural diversity indices, and 5) to assess whether the spatial patterns of different plant species are related to their functional traits. We sampled five 300-1350 m-long transects, three in Brazil and two in Canada. The transects contained one to five anthropogenic edges and one to ten natural edges and were divided into contiguous 1x1 m quadrats. In each quadrat, we estimated the cover of native and invasive graminoids (two transects in Brazil), sampled different structural elements to measure the ...
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