0000000000999245

AUTHOR

Carlo Catoni

showing 2 related works from this author

A new algorithm for the identification of dives reveals the foraging ecology of a shallow-diving seabird using accelerometer data

2017

International audience; The identification of feeding events is crucial to our understanding of the foraging ecology of seabirds. Technology has made small devices, such as time-depth recorders (TDRs) and accelerometers available. However, TDRs might not be sensitive enough to identify shallow dives, whereas accelerometers might reveal more subtle behaviours at a smaller temporal scale. Due to the limitations of TDRs, the foraging ecology of many shallow-diving seabirds has been poorly investigated to date. We thus developed an algorithm to identify dive events in a shallow-diving seabird species, the Scopoli’s shearwater, using only accelerometer data. The accuracy in the identification of…

0106 biological sciencesEcologybiologyEcology010604 marine biology & hydrobiologyEcology (disciplines)ForagingAquatic Sciencebiology.organism_classification010603 evolutionary biology01 natural sciencesShearwaterCalonectris diomedea foraging divingSettore AGR/11 - Entomologia Generale E Applicatabiology.animal[SDE]Environmental Sciences14. Life underwaterAccelerometer dataSeabirdAlgorithmEcology Evolution Behavior and Systematics
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Context-dependent foraging habitat selection in a farmland raptor along an agricultural intensification gradient

2021

Abstract Gradients of agricultural intensification in agroecosystems may determine uneven resource availability for predators relying on these man-made habitats. In turn, these variations in resource availability may affect predators’ habitat selection patterns, resulting in context-dependent habitat selection. We assessed the effects of gradients of landscape composition and configuration on habitat selection of a colonial farmland bird of prey, the lesser kestrel (Falco naumanni), relying on 76 GPS-tracked nestling-rearing individuals from 10 populations scattered along an agricultural intensification gradient. Analyses were conducted considering two ecological levels of aggregation (the …

education.field_of_studygeography.geographical_feature_categoryEcologyEcologyForagingPopulationSettore BIO/05 - ZoologiaContext (language use)Cropland Falco naumanni Functional response Grassland Landscape composition Landscape configurationVegetationGrasslandGeographyHabitatSpatial ecologyAnimal Science and ZoologyeducationAgronomy and Crop ScienceSelection (genetic algorithm)Agriculture, Ecosystems & Environment
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