2021
DOI: 10.1016/j.foreco.2021.118925
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Habitat choice of a secondary cavity user indicates higher avoidance of disturbed habitat during breeding than during food-hoarding

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Cited by 8 publications
(8 citation statements)
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“…GLAPAS is known to be a structurally rich, mature spruce and mixed forest specialist species during the breeding season [ 122 , 124 , 125 , 126 , 127 , 128 , 129 , 130 , 131 ], and clearcuts and logging have been shown to affect habitat suitability [ 131 ], as well as population size [ 132 ]. Structurally rich mature forests are habitats with some of the highest densities of small mammals [ 79 , 80 , 81 , 82 , 83 , 84 , 85 , 133 ].…”
Section: Discussionmentioning
confidence: 99%
“…GLAPAS is known to be a structurally rich, mature spruce and mixed forest specialist species during the breeding season [ 122 , 124 , 125 , 126 , 127 , 128 , 129 , 130 , 131 ], and clearcuts and logging have been shown to affect habitat suitability [ 131 ], as well as population size [ 132 ]. Structurally rich mature forests are habitats with some of the highest densities of small mammals [ 79 , 80 , 81 , 82 , 83 , 84 , 85 , 133 ].…”
Section: Discussionmentioning
confidence: 99%
“…Because male and female pygmy owls differ in a variety of ecological traits (e.g. breeding dispersal [46], habitat selection [46], prey selection [13]), we first tested for the presence of sex-specific individual variance by running the GLMMs with ASReml-R [47]. Individual variances for the number of prey items, total mass stored and proportion of mice were significantly different between the sexes (electronic supplementary material, table S2).…”
Section: Methodsmentioning
confidence: 99%
“…For this study, we divided habitat composition around each involved nest box into three classes (with three forest subclasses, see below) according to the methodology described by Morosinotto et al (2017) and Baroni et al (2021) as we worked in the same study area. We calculated areas of (1) forest stands and individual areas of young, middle-aged, and old-growth forests, (2) clear-cuts, and (3) agricultural lands (Table 1).…”
Section: Environmental Variablesmentioning
confidence: 99%
“…We calculated areas of (1) forest stands and individual areas of young, middle-aged, and old-growth forests, (2) clear-cuts, and (3) agricultural lands (Table 1). The habitat types (variables 1-3) were identified using landscape maps based on the SLICE dataset (Mikkola et al, 1999;Morosinotto et al, 2017;Baroni et al, 2021) and further processed in ArcGIS software (version 10.5; Esri, United States). Areas newly clear-cut in 2021 were identified personally during the field season and confirmed by comparing older and current satellite landscape images.…”
Section: Environmental Variablesmentioning
confidence: 99%