2020
DOI: 10.1016/j.ecss.2020.106835
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Landscape and coloniality are robust predictors of White Stork nest habitat selection in a coastal urban environment

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Cited by 12 publications
(4 citation statements)
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“…Spanish white stork population occupy more urbanized areas, similarly as it was previously shown in Morocco and Algeria (Hmamouchi et al, 2020;Chenchouni, 2017), in contrast to Polish population, where white stork remains as a farmland bird -mainly occupies territories with arable lands and pastures (Tobolka et al, 2012).…”
Section: Resultssupporting
confidence: 63%
See 1 more Smart Citation
“…Spanish white stork population occupy more urbanized areas, similarly as it was previously shown in Morocco and Algeria (Hmamouchi et al, 2020;Chenchouni, 2017), in contrast to Polish population, where white stork remains as a farmland bird -mainly occupies territories with arable lands and pastures (Tobolka et al, 2012).…”
Section: Resultssupporting
confidence: 63%
“…It is a large-bodied, long-lived bird species originally occurring in wetland ecosystems, but it habituated to forage in semi-natural areas like meadows, pastures, and arable elds (Schulz 1998). Recently, it is considered a farmland bird that can play a role of biodiversity indicator in agricultural lands (Tobolka et al, 2012) but some populations became even urban birds (Hmamouchi et al, 2020;Chenchouni, 2017). Previously, we documented that both western and eastern migratory populations of the white stork use anthropogenic nest materials (Jagiello et al, 2018(Jagiello et al, , 2020.…”
Section: Introductionmentioning
confidence: 90%
“…This is particularly important in the case of species with a marked nest-site fidelity (Barbraud et al 1999, Vergara et al 2006) and philopatry (Del Hoyo et al 2014), such as the White Stork, where the previous distribution is a determinant factor in the future expansion of the species. Previous studies focused on the effects of landfills on White Stork distribution often overlooked the potential effects of historical distribution due to the lack of available data before the use of the new feeding resources began (Djerdali et al 2016b, Bialas et al 2020, Hmamouchi et al 2020a,b).…”
Section: Introductionmentioning
confidence: 99%
“…We also created spatial variables by means of Moran’s eigenvector maps (MEMs), using the packages “spdep”, “adespatial”, “ade4”, “maptools” and “adegraphics” (Dray et al 2006 ), a method that produces flexible spatial predictors through principal coordinate analysis of a truncated geographic distance matrix among different points, while capturing spatial effects at multiple spatial scales. These orthogonal spatial variables (MEMs) can be used in regression (independent variables) to account for spatial autocorrelation (Assandri et al 2019 ; Farhi et al 2020 ) and for variation partitioning to account for the space (Hanane 2018 ; Farhi et al 2020 ; Hmamouchi et al 2020 ).…”
Section: Methodsmentioning
confidence: 99%