PABLO
PALENCIA MAYORDOMO
Investigador
Pelayo
Acevedo Lavandera
Publikationen, an denen er mitarbeitet Pelayo Acevedo Lavandera (14)
2024
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Clustered and rotating designs as a strategy to obtain precise detection rates in camera trapping studies
Journal of Applied Ecology, Vol. 61, Núm. 7, pp. 1649-1661
2023
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Assessing trends in population size of three unmarked species: A comparison of a multi-species N-mixture model and random encounter models
Ecology and Evolution, Vol. 13, Núm. 10
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Ferrer-Ferrando_et_al.Habitat_Selection_BiologgingANDCameraTraps
Zenodo
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Ferrer-Ferrando_et_al.Habitat_Selection_BiologgingANDCameraTraps
Zenodo
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Ferrer-Ferrando_et_al.Habitat_Selection_BiologgingANDCameraTraps
Zenodo
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Inter-population variability in movement parameters: practical implications for population density estimation
Journal of Wildlife Management, Vol. 87, Núm. 8
2022
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Correction to: Evaluation of a combined and portable light‑ultrasound device with which to deter red deer (European Journal of Wildlife Research, (2022), 68, 4, (50), 10.1007/s10344-022-01599-2)
European Journal of Wildlife Research
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Evaluation of a combined and portable light-ultrasound device with which to deter red deer
European Journal of Wildlife Research, Vol. 68, Núm. 4
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Primera cita de mapache (Procyon lotor) en la provincia de Cuenca (España)
Galemys: Boletín informativo de la Sociedad Española para la conservación y estudio de los mamíferos, Vol. 34, Vol. 1, pp. 33-36
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Random encounter model is a reliable method for estimating population density of multiple species using camera traps
Remote Sensing in Ecology and Conservation, Vol. 8, Núm. 5, pp. 670-682
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Towards a best-practices guide for camera trapping: assessing differences among camera trap models and settings under field conditions
Journal of Zoology, Vol. 316, Núm. 3, pp. 197-208
2021
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Assessing the camera trap methodologies used to estimate density of unmarked populations
Journal of Applied Ecology, Vol. 58, Núm. 8, pp. 1583-1592
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Innovations in movement and behavioural ecology from camera traps: Day range as model parameter
Methods in Ecology and Evolution, Vol. 12, Núm. 7, pp. 1201-1212