Mark Burgman
Mark Burgman
Professor of Risk Analysis and Environmental Policy, Imperial College London
Verified email at
Cited by
Cited by
Risk assessment in conservation biology
MA Burgman, S Ferson, HR Akçakaya
Springer Science & Business Media, 1993
A taxonomy and treatment of uncertainty for ecology and conservation biology
HM Regan, M Colyvan, MA Burgman
Ecological applications 12 (2), 618-628, 2002
Risks and decisions for conservation and environmental management
M Burgman
Cambridge University Press, 2005
Mathematical methods for identifying representative reserve networks
S Ferson, M Burgman, H Possingham, I Ball, S Andelman
Quantitative methods for conservation biology, 291-306, 2000
Eliciting expert knowledge in conservation science
TG Martin, MA Burgman, F Fidler, PM Kuhnert, S Low‐Choy, M McBride, ...
Conservation Biology 26 (1), 29-38, 2012
A checklist for ecological management of landscapes for conservation
D Lindenmayer, RJ Hobbs, R Montague‐Drake, J Alexandra, A Bennett, ...
Ecology letters 11 (1), 78-91, 2008
Predictive accuracy of population viability analysis in conservation biology
BW Brook, JJ O'Grady, AP Chapman, MA Burgman, HR Akçakaya, ...
Nature 404 (6776), 385-387, 2000
Bias in species range estimates from minimum convex polygons: implications for conservation and options for improved planning
MA Burgman, JC Fox
Animal Conservation Forum 6 (1), 19-28, 2003
Limits to the use of threatened species lists
HP Possingham, SJ Andelman, MA Burgman, RA Medellı́n, LL Master, ...
Trends in ecology & evolution 17 (11), 503-507, 2002
Scientific foundations for an IUCN Red List of Ecosystems
DA Keith, JP Rodríguez, KM Rodríguez-Clark, E Nicholson, K Aapala, ...
PLOS one 8 (5), e62111, 2013
Robust decision‐making under severe uncertainty for conservation management
HM Regan, Y Ben-Haim, B Langford, WG Wilson, P Lundberg, ...
Ecological applications 15 (4), 1471-1477, 2005
Quantitative methods for modeling species habitat: comparative performance and an application to Australian plants
S Ferson, M Burgman, J Elith
Quantitative methods for conservation biology, 39-58, 2000
Applied population ecology: principles and computer exercises using RAMAS EcoLab 2.0
HR Akçakaya, MA Burgman, LR Ginzburg
(No Title), 1999
Clarifying values, risk perceptions, and attitudes to resolve or avoid social conflicts in invasive species management
RA Estévez, CB Anderson, JC Pizarro, MA Burgman
Conservation Biology 29 (1), 19-30, 2015
Measuring and incorporating vulnerability into conservation planning
K Wilson, RL Pressey, A Newton, M Burgman, H Possingham, C Weston
Environmental management 35, 527-543, 2005
Reducing overconfidence in the interval judgments of experts
A Speirs‐Bridge, F Fidler, M McBride, L Flander, G Cumming, M Burgman
Risk Analysis: An International Journal 30 (3), 512-523, 2010
A practical guide to structured expert elicitation using the IDEA protocol
V Hemming, MA Burgman, AM Hanea, MF McBride, BC Wintle
Methods in Ecology and Evolution 9 (1), 169-180, 2018
Mapping epistemic uncertainties and vague concepts in predictions of species distribution
J Elith, MA Burgman, HM Regan
Ecological modelling 157 (2-3), 313-329, 2002
Making consistent IUCN classifications under uncertainty
HR Akçakaya, S Ferson, MA Burgman, DA Keith, GM Mace, CR Todd
Conservation biology 14 (4), 1001-1013, 2000
TEASIng apart alien species risk assessments: a framework for best practices
B Leung, N Roura‐Pascual, S Bacher, J Heikkilä, L Brotons, MA Burgman, ...
Ecology Letters 15 (12), 1475-1493, 2012
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