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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.