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), 529-536, 2018 | 148 | 2018 |
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, 1649-1661, 2011 | 132 | 2011 |
The costs of human-induced evolution in an agricultural system A Varah, K Ahodo, SR Coutts, HL Hicks, D Comont, L Crook, R Hull, ... Nature Sustainability 3 (1), 63-71, 2020 | 106 | 2020 |
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 | 100 | 2017 |
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), 343-351, 2019 | 80 | 2019 |
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 | 66 | 2012 |
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 | 58 | 2018 |
The behavior of multiple independent managers and ecological traits interact to determine prevalence of weeds SR Coutts, H Yokomizo, YM Buckley Ecological Applications, 523-536, 2013 | 43 | 2013 |
Integrating ecological knowledge, public perception and urgency of action into invasive species management P Caplat, SR Coutts Environmental Management 48 (5), 878-881, 2011 | 38 | 2011 |
Meta‐models as a straightforward approach to the sensitivity analysis of complex models SR Coutts, H Yokomizo Population Ecology 56 (1), 7-19, 2014 | 37 | 2014 |
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 | 35 | 2016 |
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, 565-579, 2015 | 27 | 2015 |
Decision science for effective management of populations subject to stochasticity and imperfect knowledge H Yokomizo, SR Coutts, HP Possingham Population Ecology 56, 41-53, 2014 | 26 | 2014 |
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 | 24 | 2013 |
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, 467-476, 2012 | 23 | 2012 |
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 | 20 | 2018 |
Robotic crop row tracking around weeds using cereal-specific features X Li, R Lloyd, S Ward, J Cox, S Coutts, C Fox Computers and Electronics in Agriculture 197, 106941, 2022 | 13 | 2022 |
The factors driving evolved herbicide resistance at a national scale. Nat Ecol Evol 2: 529–536 HL Hicks, D Comont, SR Coutts, L Crook, R Hull, K Norris, P Neve, ... | 10 | 2018 |
Developing hierarchical density‐structured models to study the national‐scale dynamics of an arable weed RM Goodsell, DZ Childs, M Spencer, S Coutts, R Vergnon, T Swinfield, ... Ecological Monographs 91 (3), e01449, 2021 | 6 | 2021 |
Fine‐scale spatial variation in fitness is comparable to disturbance‐induced fluctuations in a fire‐adapted species SR Coutts, PF Quintana‐Ascencio, ES Menges, R Salguero‐Gómez, ... Ecology 102 (4), e03287, 2021 | 5 | 2021 |