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Mannocci Laura
Mannocci Laura
Institut de Recherche pour le Développement - laboratoire MARBEC
Verified email at umontpellier.fr - Homepage
Title
Cited by
Cited by
Year
Outstanding challenges in the transferability of ecological models
KL Yates, PJ Bouchet, MJ Caley, K Mengersen, CF Randin, S Parnell, ...
Trends in ecology & evolution 33 (10), 790-802, 2018
4892018
Habitat-based cetacean density models for the US Atlantic and Gulf of Mexico
JJ Roberts, BD Best, L Mannocci, EI Fujioka, PN Halpin, DL Palka, ...
Scientific reports 6 (1), 22615, 2016
2392016
Temporal resolutions in species distribution models of highly mobile marine animals: Recommendations for ecologists and managers
L Mannocci, AM Boustany, JJ Roberts, DM Palacios, DC Dunn, PN Halpin, ...
Diversity and Distributions 23 (10), 1098-1109, 2017
1152017
Predicting top predator habitats in the Southwest Indian Ocean
L Mannocci, S Laran, P Monestiez, G Dorémus, O Van Canneyt, ...
Ecography 37 (3), 261-278, 2014
942014
Predicting cetacean and seabird habitats across a productivity gradient in the South Pacific gyre
L Mannocci, M Catalogna, G Dorémus, S Laran, P Lehodey, W Massart, ...
Progress in Oceanography 120, 383-398, 2014
942014
Assessing the impact of bycatch on dolphin populations: the case of the common dolphin in the eastern North Atlantic
L Mannocci, W Dabin, E Augeraud-Véron, JF Dupuy, C Barbraud, ...
PLoS one 7 (2), e32615, 2012
822012
Assessing cetacean surveys throughout the Mediterranean Sea: A gap analysis in environmental space
L Mannocci, JJ Roberts, PN Halpin, M Authier, O Boisseau, MN Bradai, ...
Scientific reports 8 (1), 3126, 2018
782018
Extrapolating cetacean densities to quantitatively assess human impacts on populations in the high seas
L Mannocci, JJ Roberts, DL Miller, PN Halpin
Conservation Biology 31 (3), 601-614, 2017
642017
Extrapolating cetacean densities beyond surveyed regions: habitat‐based predictions in the circumtropical belt
L Mannocci, P Monestiez, J Spitz, V Ridoux
Journal of Biogeography 42 (7), 1267-1280, 2015
572015
Predicting cetacean habitats from their energetic needs and the distribution of their prey in two contrasted tropical regions
C Lambert, L Mannocci, P Lehodey, V Ridoux
PloS one 9 (8), e105958, 2014
572014
Dsmextra: Extrapolation assessment tools for density surface models
PJ Bouchet, DL Miller, JJ Roberts, L Mannocci, CM Harris, L Thomas
Methods in Ecology and Evolution 11 (11), 1464-1469, 2020
392020
Megavertebrate communities from two contrasting ecosystems in the western tropical Atlantic
L Mannocci, P Monestiez, J Bolaños-Jiménez, G Dorémus, S Jeremie, ...
Journal of Marine Systems 111, 208-222, 2013
382013
Combining multiple visual surveys to model the habitat of deep‐diving cetaceans at the basin scale: Large‐scale modelling of deep‐diving cetacean habitats
A Virgili, M Authier, O Boisseau, A Cañadas, D Claridge, T Cole, ...
Global Ecology and Biogeography 28 (3), 300-314, 2019
372019
Machine learning to detect bycatch risk: Novel application to echosounder buoys data in tuna purse seine fisheries
L Mannocci, Y Baidai, F Forget, MT Tolotti, L Dagorn, M Capello
Biological Conservation 255, 109004, 2021
262021
others (2016) Habitat-based cetacean density models for the US Atlantic and Gulf of Mexico
JJ Roberts, BD Best, L Mannocci, E Fujioka
Sci Rep 6, 22615, 0
24
Geographical differences in habitat relationships of cetaceans across an ocean basin
L Mannocci, JJ Roberts, EJ Pedersen, PN Halpin
Ecography 43 (8), 1250-1259, 2020
182020
From here and now to there and then: Practical recommendations for extrapolating cetacean density surface models to novel conditions
P Bouchet, DL Miller, J Roberts, L Mannocci, CM Harris, L Thomas
172019
Predicting bycatch hotspots in tropical tuna purse seine fisheries at the basin scale
L Mannocci, F Forget, MT Tolotti, P Bach, N Bez, H Demarcq, D Kaplan, ...
Global Ecology and Conservation 24, e01393, 2020
142020
Leveraging social media and deep learning to detect rare megafauna in video surveys
L Mannocci, S Villon, M Chaumont, N Guellati, N Mouquet, C Iovan, ...
Conservation Biology 36 (1), e13798, 2022
132022
Towards a better characterisation of deep-diving whales’ distributions by using prey distribution model outputs?
A Virgili, L Hedon, M Authier, B Calmettes, D Claridge, T Cole, P Corkeron, ...
Plos one 16 (8), e0255667, 2021
102021
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