| A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter C Merow, MJ Smith, JA Silander Jr Ecography 36 (10), 1058-1069, 2013 | 1857 | 2013 |
| The effects of sampling bias and model complexity on the predictive performance of MaxEnt species distribution models MM Syfert, MJ Smith, DA Coomes PloS one 8 (2), e55158, 2013 | 429 | 2013 |
| Wildlife diseases: from individuals to ecosystems DM Tompkins, AM Dunn, MJ Smith, S Telfer Journal of Animal Ecology 80 (1), 19-38, 2011 | 388 | 2011 |
| What do we gain from simplicity versus complexity in species distribution models? JE Cory Merow, Mathew J Smith, Thomas C Edwards, Antoine Guisan, Sean M ... Ecography 37 (12), 1267-1281, 2014 | 312 | 2014 |
| Toward more realistic projections of soil carbon dynamics by Earth system models Y Luo, A Ahlström, SD Allison, NH Batjes, V Brovkin, N Carvalhais, ... Global Biogeochemical Cycles 30 (1), 40-56, 2016 | 244 | 2016 |
| Explicitly representing soil microbial processes in Earth system models WR Wieder, SD Allison, EA Davidson, K Georgiou, O Hararuk, Y He, ... Global Biogeochemical Cycles 29 (10), 1782-1800, 2015 | 173 | 2015 |
| Periodic travelling waves in cyclic populations: field studies and reaction–diffusion models JA Sherratt, MJ Smith Journal of the Royal Society Interface 5 (22), 483-505, 2008 | 167 | 2008 |
| Emergent global patterns of ecosystem structure and function from a mechanistic general ecosystem model MBJ Harfoot, T Newbold, DP Tittensor, S Emmott, J Hutton, V Lyutsarev, ... PLoS Biol 12 (4), e1001841, 2014 | 150 | 2014 |
| Predictability of the terrestrial carbon cycle Y Luo, TF Keenan, MJ Smith Global change biology 21 (5), 1737-1751, 2015 | 142 | 2015 |
| Predictive systems ecology MR Evans, M Bithell, SJ Cornell, SRX Dall, S Díaz, S Emmott, B Ernande, ... Proceedings of the Royal Society B: Biological Sciences 280 (1771), 20131452, 2013 | 125 | 2013 |
| Host–pathogen time series data in wildlife support a transmission function between density and frequency dependence MJ Smith, S Telfer, ER Kallio, S Burthe, AR Cook, X Lambin, M Begon Proceedings of the National Academy of Sciences 106 (19), 7905-7909, 2009 | 121 | 2009 |
| Using species distribution models to inform IUCN Red List assessments MM Syfert, L Joppa, MJ Smith, DA Coomes, SP Bachman, NA Brummitt Biological Conservation 177, 174-184, 2014 | 93 | 2014 |
| Are silica defences in grasses driving vole population cycles? FP Massey, MJ Smith, X Lambin, SE Hartley Biology letters 4 (4), 419-422, 2008 | 93 | 2008 |
| Earth systems: model human adaptation to climate change PI Palmer, MJ Smith Nature News 512 (7515), 365, 2014 | 82 | 2014 |
| Microbial models with data‐driven parameters predict stronger soil carbon responses to climate change O Hararuk, MJ Smith, Y Luo Global change biology 21 (6), 2439-2453, 2015 | 73 | 2015 |
| The effects of host contact network structure on pathogen diversity and strain structure COF Buckee, K Koelle, MJ Mustard, S Gupta Proceedings of the National Academy of Sciences 101 (29), 10839-10844, 2004 | 72 | 2004 |
| Delayed density-dependent season length alone can lead to rodent population cycles MJ Smith, A White, X Lambin, JA Sherratt, M Begon The American Naturalist 167 (5), 695-704, 2006 | 65 | 2006 |
| Oscillatory behavior of two nonlinear microbial models of soil carbon decomposition YP Wang, BC Chen, WR Wieder, M Leite, BE Medlyn, M Rasmussen, ... Biogeosciences, 2014 | 63 | 2014 |
| Integrated assessment models for ecologists: the present and the future M Harfoot, DP Tittensor, T Newbold, G McInerny, MJ Smith, ... Global Ecology and Biogeography 23 (2), 124-143, 2014 | 60 | 2014 |
| The Environmental Legacy of Modern Tropical Deforestation RME Isabel M.D. Rosa, Matthew J. Smith, Oliver R. Wearn, Drew Purves Current Biology 26 (16), 2161–2166, 2016 | 59 | 2016 |
Drew PurvesGoogle DeepMindVerified email at google.com
