Matthew J. Smith
Matthew J. Smith
Agrimetrics
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
17802013
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
4232013
Wildlife diseases: from individuals to ecosystems
DM Tompkins, AM Dunn, MJ Smith, S Telfer
Journal of Animal Ecology 80 (1), 19-38, 2011
3862011
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
3132014
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
2392016
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
1662008
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
1602015
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
1452014
Predictability of the terrestrial carbon cycle
Y Luo, TF Keenan, MJ Smith
Global change biology 21 (5), 1737-1751, 2015
1372015
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
1252013
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
1192009
Are silica defences in grasses driving vole population cycles?
FP Massey, MJ Smith, X Lambin, SE Hartley
Biology letters 4 (4), 419-422, 2008
912008
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
852014
Earth systems: model human adaptation to climate change
PI Palmer, MJ Smith
Nature News 512 (7515), 365, 2014
802014
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
732004
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
712015
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
642006
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
592014
Delayed induced silica defences in grasses and their potential for destabilising herbivore population dynamics
JJH Reynolds, X Lambin, FP Massey, S Reidinger, JA Sherratt, MJ Smith, ...
Oecologia 170 (2), 445-456, 2012
592012
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
572014
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