Marianna Chimienti, PhD
Marianna Chimienti, PhD
Marie Curie Postdoctoral Fellow, CEBC, France
Verified email at
Cited by
Cited by
The use of an unsupervised learning approach for characterizing latent behaviors in accelerometer data
Marianna Chimienti, Thomas Cornulier, Ellie Owen, Mark Bolton, Ian M. Davies ...
Ecology and Evolution, 2016
ScotMap: Participatory mapping of inshore fishing activity to inform marine spatial planning in Scotland
A Kafas, A McLay, M Chimienti, BE Scott, I Davies, M Gubbins
Marine Policy 79, 8-18, 2017
Taking movement data to new depths: inferring prey availability and patch profitability from seabird foraging behaviour
M Chimienti, T Cornulier, E Owen, M Bolton, IM Davies, JMJ Travis, ...
Ecology and Evolution, 2017
Quantification of the full lifecycle bioenergetics of a large mammal in the high Arctic
JP Desforges, GM Marques, LT Beumer, M Chimienti, J Blake, JE Rowell, ...
Ecological Modelling 401, 27-39, 2019
On the interplay between hypothermia and reproduction in a high arctic ungulate
NM Schmidt, C Gr°ndahl, AL Evans, JP Desforges, J Blake, LH Hansen, ...
Scientific reports 10 (1), 1-7, 2020
Temporal niche separation between the two ecologically similar nocturnal primates Avahi meridionalis and Lepilemur fleuretae
M Campera, M Balestri, M Chimienti, VNKAI Nekaris, G Donati
Behavioral Ecology and Sociobiology 73 (55), 2019
ScotMap Inshore fisheries mapping in Scotland: Recording fishermen’s use of the sea
A Kafas
Marine Scotland Science, 2014
An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore
Beumer, L. T., Pohle, J., Schmidt, N. M., Chimienti, M., Desforges, J-P ...
Movement Ecology 8 (25), 2020
Energetics as common currency for integrating high resolution activity patterns into dynamic energy budget-individual based models
M Chimienti, JP Desforges, LT Beumer, J Nabe-Nielsen, FM van Beest, ...
Ecological Modelling 434, 109250, 2020
Legacy Pb pollution in the contemporary environment and its potential bioavailability in three mountain catchments
SV Hansson, Y Grusson, M Chimienti, A Claustres, S Jean, G Le Roux
Science of The Total Environment 671, 1227-1236, 2019
Modelling foraging movements of diving predators: a theoretical study exploring the effect of heterogeneous landscapes on foraging efficiency
M Chimienti, KA Bartoń, BE Scott, JMJ Travis
PeerJ 2, e544, 2014
Quantifying energetic and fitness consequences of seasonal heterothermy in an Arctic ungulate
JP Desforges, F van Beest, G Marques, SH Pedersen, LT Beumer, ...
Ecology and Evolution 11, 338–351, 2021
Movement patterns of large juvenile loggerhead turtles in the Mediterranean Sea: ontogenetic space use in a small ocean basin
Chimienti M., Blasi M., Hochscheid S.
Ecology and Evolution 10, 6978–6992, 2020
Environmental conditions alter behavioural organization and rhythmicity of a large Arctic ruminant across the annual cycle
F van Beest, LT Beumer, M Chimienti, JP Desforges, NP Huffeldt, ...
Royal Society Open Science 7, 201614, 2020
Multi-platform studies of the MeyGen tidal energy site–using UAVs to measure animal distributions and hydrodynamic features
B Williamson, S Fraser, J McIlvenny, A Couto, J Chapman, H Wade, ...
MASTS: Annual Science Meeting, Glasgow, UK. https://tethys. pnnl. gová…, 2018
Environment and physiology shape Arctic ungulate population dynamics
JP Desforges, GM Marques, LT Beumer, M Chimienti, LH Hansen, ...
Global Change Biology 27, 1721– 1737, 2021
Quantifying behavior and life‐history events of an Arctic ungulate from year‐long continuous accelerometer data
M Chimienti, FM van Beest, LT Beumer, JP Desforges, LH Hansen, ...
Ecosphere 12 (6), e03565, 2021
Functional relationships between hydrodynamics, prey and predators in tidal stream habitats
A Couto, B Williamson, S Fraser, J McIlvenny, J Chapman, H Wade, ...
Utilising multiple platform data types to investigate top predator fine scale usage of high energy habitats
JD Chapman, B Williamson, IM Davies, J Illian, A Couto, M Chimienti, ...
Foraging strategies of diving seabirds across scales: the use of high frequency tracking data to reveal movement decisions in dynamic environments
M Chimienti
University of Aberdeen, 2017
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