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Groups of patches based on fragmentation are usually concentrated in core areas, while reachability groups are widely spread.
Multi-node analyses identify groups of patches that maximally complement each other in order to increase the protection of connectivity for the whole network.
Phragmites management strategies typically focus on the use of a limited number of techniques (described later) applied to individual patches or groups of patches.
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Three groups of patch-repaired beams were designed for analysis and testing.
Reserve effects at Glover's Atoll were not uniform across groups of patch reefs; positive reserve effects were detected in some patch reefs types and negative (or neutral) effects in others.
The hierarchical clustering is based on the concept of the grouping of patches according to a maximum distance between patches.
Performing this correction becomes more difficult when we compare a group of patches resulting from an injection with an OI response map, since both data sets have irregular borders.
Using a spatially-explicit population model, we removed groups of habitat patches based on their characteristics and measured the resulting time to extinction.
In this work, we propose a comprehensive and efficient point cloud management system based on a database server that works on groups of points (patches) rather than individual points.
Homographies are assigned to the motion model according to the highest probability p ij. Separating groups of planar patches in case of different motions.
Indeed, we already partially see this in terms of fragmented patches (a group of smaller patches), which groups are much better able to sense and deplete.
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