Shaun Coutts
Shaun Coutts
Lincoln Institute of Agri-food Technology, University of Lincoln
Verified email at - Homepage
TitleCited byYear
What are the key drivers of spread in invasive plants: dispersal, demography or landscape: and how can we use this knowledge to aid management?
SR Coutts, RD van Klinken, H Yokomizo, YM Buckley
Biological invasions 13 (7), 1649-1661, 2011
Modeling population dynamics, landscape structure, and management decisions for controlling the spread of invasive plants
P Caplat, S Coutts, YM Buckley
Annals of the New York Academy of Sciences 1249 (1), 72-83, 2012
Less favourable climates constrain demographic strategies in plants
AM Csergő, R Salguero‐Gómez, O Broennimann, SR Coutts, A Guisan, ...
Ecology letters 20 (8), 969-980, 2017
Meta‐models as a straightforward approach to the sensitivity analysis of complex models
SR Coutts, H Yokomizo
Population Ecology 56 (1), 7-19, 2014
The behavior of multiple independent managers and ecological traits interact to determine prevalence of weeds
SR Coutts, H Yokomizo, YM Buckley
Ecological Applications 23 (3), 523-536, 2013
Integrating ecological knowledge, public perception and urgency of action into invasive species management
P Caplat, SR Coutts
Environmental Management 48 (5), 878, 2011
The factors driving evolved herbicide resistance at a national scale
HL Hicks, D Comont, SR Coutts, L Crook, R Hull, K Norris, P Neve, ...
Nature ecology & evolution 2 (3), 529, 2018
Decision science for effective management of populations subject to stochasticity and imperfect knowledge
H Yokomizo, SR Coutts, HP Possingham
Population ecology 56 (1), 41-53, 2014
Learning from the past to predict the future: an historical analysis of grass invasions in northern Australia
RD van Klinken, FD Panetta, S Coutts, BK Simon
Biological Invasions 17 (2), 565-579, 2015
Are high-impact species predictable? An analysis of naturalised grasses in northern Australia
RD van Klinken, FD Panetta, SR Coutts
PloS one 8 (7), e68678, 2013
Extrapolating demography with climate, proximity and phylogeny: approach with caution
SR Coutts, R Salguero‐Gómez, AM Csergő, YM Buckley
Ecology letters 19 (12), 1429-1438, 2016
Reproductive ecology of Pinus nigra in an invasive population: individual-and population-level variation in seed production and timing of seed release
SR Coutts, P Caplat, K Cousins, N Ledgard, YM Buckley
Annals of forest science 69 (4), 467-476, 2012
Considering weed management as a social dilemma bridges individual and collective interests
MV Bagavathiannan, S Graham, Z Ma, JN Barney, SR Coutts, AL Caicedo, ...
Nature plants 5 (4), 343, 2019
Improving private land conservation with outcome‐based biodiversity payments
JA McDonald, KJ Helmstedt, M Bode, S Coutts, E McDonald‐Madden, ...
Journal of applied ecology 55 (3), 1476-1485, 2018
Invasion lags: The stories we tell ourselves and our inability to infer process from pattern
SR Coutts, KJ Helmstedt, JR Bennett
Diversity and Distributions 24 (2), 244-251, 2018
A stochastic computer simulation of island group colonisation by Rattus norvegicus in small near shore island systems: specifically Tia Island and the Boat group
SR Coutts
University of Otago, 2005
Gone with the wind: high-resolution analysis of pine dispersal in New Zealand mountains
P Caplat, S Coutts, YM Buckley
Proceedings of the 17th Australian Weeds Conference (ed. SM Zydenbos), 190-193, 2010
Landscape scale spread of alien invasive plants: what are the key drivers and how can human behaviour affect it?
S Coutts
The dynamics of invasion as a function of landscape connectivity
R Colasanti, RD van Klinken, S Coutts, Y Buckley
Proceedings of the 16th Australian Weeds Conference, Cairns Convention …, 2008
When do we need to incorporate human behaviour into models of weed control, and how do we do it?
S Coutts, Y Buckley, H Yokomizo
Proceedings of the 16th Australian Weeds Conference, Cairns Convention …, 2008
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