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Articles

Local versus landscape-scale determinants of nest-site selection in the Barbary Partridge Alectoris barbara

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Pages 495-504 | Received 29 Mar 2018, Accepted 30 Sep 2018, Published online: 22 Jan 2019

Figures & data

Figure 1. Map showing the location of the study area and positions of grid cells sampled in 2016 (black squares) and 2017 (white squares).

Figure 1. Map showing the location of the study area and positions of grid cells sampled in 2016 (black squares) and 2017 (white squares).

Table 1. Description of habitat variables measured around survey points (nest-site and random points) within two spatial levels (local- and landscape scales) and used in the analyses of Barbary Partridge nest habitat selection model.

Table 2. Descriptive statistics for variables (mean ± se) measured at Barbary Partridge nests and random points using t tests. Wilks lambda = 0.580; F = 4.759; P < 0.001 (Multivariate analysis of variance).

Figure 2. Probability of presence of Barbary Partridge nests according to: (a) forest cover, (b) shrub cover, (c) distance to the nearest track and (d) to nearest tree, in an agroforestry system of Central Morocco. The shaded grey areas are the lower and upper 95% confidence limits.

Figure 2. Probability of presence of Barbary Partridge nests according to: (a) forest cover, (b) shrub cover, (c) distance to the nearest track and (d) to nearest tree, in an agroforestry system of Central Morocco. The shaded grey areas are the lower and upper 95% confidence limits.

Table 3. Summary of the GLMs describing Barbary Partridge nest habitat selection at local- and landscape scales. Variable abbreviations are explained in .

Table 4. Estimates of the best models fitted for Barbary Partridge nest habitat selection at local- and landscape scales using binomial error and logistic link function. RVI = Relative Variable Importance. Variable abbreviations are explained in .

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