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Simon Croft
Simon Croft
Quantitiative Ecologist, National Wildlife Management Centre, APHA
Verified email at apha.gsi.gov.uk
Title
Cited by
Cited by
Year
The MILLENNIA peat cohort model: predicting past, present and future soil carbon budgets and fluxes under changing climates in peatlands
A Heinemeyer, S Croft, MH Garnett, E Gloor, J Holden, MR Lomas, ...
Climate Research 45, 207-226, 2010
592010
A systematic approach to estimate the distribution and total abundance of British mammals
S Croft, ALM Chauvenet, GC Smith
PLOS ONE 12 (6), e0176339, 2017
492017
Science-based wildlife disease response
J Vicente, M Apollonio, JA Blanco-Aguiar, T Borowik, F Brivio, J Casaer, ...
Science 364 (6444), 943-944, 2019
332019
Model inter-comparison between statistical and dynamic model assessments of the long-term stability of blanket peat in Great Britain (1940–2099)
JM Clark, MF Billett, M Coyle, S Croft, S Daniels, CD Evans, M Evans, ...
Climate Research 45, 227-248, 2010
172010
Obstacle avoidance in social groups: new insights from asynchronous models
S Croft, R Budgey, JW Pitchford, AJ Wood
Journal of The Royal Society Interface 12 (106), 20150178, 2015
152015
The influence of group size and social interactions on collision risk with obstacles
S Croft, R Budgey, JW Pitchford, AJ Wood
Ecological Complexity 16, 77-82, 2013
152013
Modelling spatial and temporal patterns of African swine fever in an isolated wild boar population to support decision-making
S Croft, G Massei, GC Smith, D Fouracre, JN Aegerter
Frontiers in Veterinary Science 7, 154, 2020
132020
Too many wild boar? Modelling fertility control and culling to reduce wild boar numbers in isolated populations
S Croft, B Franzetti, R Gill, G Massei
PLoS ONE 15 (9), e0238429, 2020
122020
ENETwild modelling of wild boar distribution and abundance: update of occurrence and hunting data-based models
P Acevedo, S Croft, GC Smith, JA Blanco-Aguiar, J Fernandez-Lopez, ...
EFSA Supporting Publications 16 (8), 1674E, 2019
122019
Analysis of hunting statistics collection frameworks for wild boar across Europe and proposals for improving the harmonisation of data collection
J Vicente, R Plhal, JA Blanco‐Aguiar, M Sange, T Podgórski, K Petrovic, ...
EFSA Supporting Publications 15 (12), 33, 2018
12*2018
Wild boar in focus: Review of existing models on spatial distribution and density of wild boar and proposal for next steps
S Croft, GC Smith, P Acevedo, J Vicente
EFSA Supporting Publications 15 (10), 44, 2018
122018
ENETwild modelling of wild boar distribution and abundance: initial model output based on hunting data and update of occurrence-based models
P Acevedo, S Croft, GC Smith, J Vicente
EFSA Supporting Publications 16 (5), 25, 2019
102019
Validation and inference of high‐resolution information (downscaling) of ENETwild abundance model for wild boar
P Acevedo, S Croft, GC Smith, JA Blanco‐Aguiar, J Fernandez‐Lopez, ...
EFSA Supporting Publications 17 (1), 23, 2020
92020
Wild boar in focus: initial model outputs of wild boar distribution based on occurrence data and identification of priority areas for data collection
S Croft, GC Smith, P Acevedo, J Vicente
EFSA Supporting Publications 16 (1), 26, 2019
92019
Evaluating EFSA protection goals for honey bees (Apis mellifera): what do they mean for pollination?
S Croft, M Brown, S Wilkins, A Hart, GC Smith
Integrated Enivronmental Assessment and Managament 14 (6), 750-758, 2018
8*2018
Predicting population trends using citizen science data: do subsampling methods produce reliable estimates for mammals?
K Callcutt, S Croft, GC Smith
European Journal of Wildlife Research 64 (3), 28, 2018
82018
Update of occurrence and hunting yield‐based data models for wild boar at European scale: new approach to handle the bioregion effect
P Acevedo, S Croft, G Smith, J Antonio Blanco‐Aguiar, ...
EFSA Supporting Publications 17 (5), 28, 2020
72020
Using species distribution models to predict potential hot-spots for Rift Valley Fever establishment in the United Kingdom.
RRL Simons, S Croft, E Rees, O Tearne, ME Arnold, N Johnson
PLoS ONE 14 (12), e0225250, 2019
72019
Modeling current and potential distributions of mammal species using presence‐only data: A case study on British deer
S Croft, AI Ward, JN Aegerter, GC Smith
Ecology and Evolution 9 (15), 8724-8735, 2019
72019
The risk of foot-and-mouth disease becoming endemic in a wildlife host is driven by spatial extent rather than density
S Croft, JN Aegerter, G Massei, GC Smith
PLoS ONE 14 (6), e0218898, 2019
62019
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