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Table 1 Interset correlations of variables with axes of CCAs at local and facet scales

From: Rolling Pampas agroecosystem: which landscape attributes are relevant for determining bird distributions?

Scale Variable Axis 1 Axis 2
Local Water (presence/absence)a −0.528 0.159
Lowland covera −0.507 0.167
Pond covera −0.27 −0.029
Trees (woodlots and tree lines)a 0.254 0.528
Pasture covera −0.21 0.308
Maize cover 0.177 −0.172
Houses (presence/absence)a 0.157 0.439
Wheat covera 0.135 −0.361
Trees (scattered)a 0.089 0.315
Wood cover 0.113 0.231
Lawn cover 0.084 0.287
Cover richness −0.119 0.14
Stuble cover 0.116 −0.11
Soybean cover 0.045 −0.163
Roadside complexity −0.082 −0.033
Agriculture cover 0.064 −0.017
Bare soil cover 0.037 0.125
Oats cover 0.026 −0.064
  Urban cover 0.026 0.059
Facet Pasturea 0.687 0.063
Maizea −0.56 −0.175
Soybeana −0.5 −0.072
Soybean/wheata −0.487 −0.196
Tree lines lengtha 0.378 −0.122
Number of tree linesa 0.336 −0.225
Urbana 0.295 0.009
Number of woodlandsa 0.012 −0.239
Woodland areaa 0.172 −0.119
Water −0.139 −0.004
  Lowland 0.057 0.024
  1. aVariables that have the higher correlations swith axes 1 and 2 and are drawn in ordination diagrams in Figures 3, 4 and 5.