2019
DOI: 10.1016/j.scitotenv.2018.07.297
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Linking land cover satellite data with dietary variation and reproductive output in an opportunistic forager: Arable land use can boost an ontogenetic trophic bottleneck in the White Stork Ciconia ciconia

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Cited by 13 publications
(22 citation statements)
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“…proximity to urban landcover), open or woodland environments 86 (e.g. the amount of tree cover in a patch), and bare patches of ground 30 (e.g. the proportion of bare ground in a patch; often for earth worms).…”
Section: Methodsmentioning
confidence: 99%
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“…proximity to urban landcover), open or woodland environments 86 (e.g. the amount of tree cover in a patch), and bare patches of ground 30 (e.g. the proportion of bare ground in a patch; often for earth worms).…”
Section: Methodsmentioning
confidence: 99%
“…First, foraging theory predicts that individuals will tend to specialize on different prey types when they have different rank order for diet preferences, optimization criteria, or when experience leads to more efficient exploitation of specific prey items 17,28 . In generalist species, this can result in differential use of habitats if specific prey types are found in distinct habitats 29,30 . Second, animals might have differential focus on the habitats themselves, as opposed to specific prey, due to natal induction 31,32 , because they have developed foraging techniques that are more efficient in specific habitats, or because individuals choose alternative habitats due to local competition 33 .…”
mentioning
confidence: 99%
“…The data presented here were the basis for the article by Orłowski et al [1] . The dataset of this article provides detailed information on dietary composition of 165 pellets of White Storks collected in June and July 2012 from 52 nests in 39 villages in south-western Poland ( Fig.…”
Section: Datamentioning
confidence: 80%
“…The corresponding background of available habitats is a synthetic measure combining land cover classes with a similar structure: arable (Arable land + Heterogeneous agricultural areas), grassland/non-cropped (Urban fabric + Industrial, commercial and transport units + Mine, dump and construction sites + Grassland, pasture + Shrub and/or herbaceous vegetation associations), forest (Forests + Artificial non-agricultural vegetated areas) and water/wetland (Inland wetlands + Inland waters and large rivers) ( Table 1 ; Fig. 1 ; see also [1] ). The percentage distribution of individual prey groups vs available habitat background ( Fig.…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
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