john leathwick
john leathwick
Principal Science Advisor, Department of Conservation, NZ
Verified email at doc.govt.nz
Title
Cited by
Cited by
Year
Novel methods improve prediction of species’ distributions from occurrence data
N Elith*, J., H. Graham*, C., P. Anderson, R., Dudík
Ecography 29 (2), 129-151, 2006
11593*2006
Species distribution models: ecological explanation and prediction across space and time
J Elith, JR Leathwick
Annual review of ecology, evolution, and systematics 40, 677-697, 2009
50932009
A working guide to boosted regression trees
J Elith, JR Leathwick, T Hastie
Journal of animal ecology 77 (4), 802-813, 2008
43762008
Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data
SJ Phillips, M Dudík, J Elith, CH Graham, A Lehmann, J Leathwick, ...
Ecological applications 19 (1), 181-197, 2009
21862009
dismo: Species distribution modeling
RJ Hijmans, S Phillips, J Leathwick, J Elith
R package version 0.7-17, 2012
1800*2012
Climate change mitigation: A spatial analysis of global land suitability for clean development mechanism afforestation and reforestation
RJ Zomer, A Trabucco, DA Bossio, LV Verchot
Agriculture, ecosystems & environment 126 (1-2), 67-80, 2008
8932008
Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees
JR Leathwick, J Elith, MP Francis, T Hastie, P Taylor
Marine Ecology Progress Series 321, 267-281, 2006
5812006
GRASP: generalized regression analysis and spatial prediction
A Lehmann, JMC Overton, JR Leathwick
Ecological modelling 157 (2-3), 189-207, 2002
5372002
Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions
JR Leathwick, J Elith, T Hastie
Ecological modelling 199 (2), 188-196, 2006
4542006
Land environments of New Zealand: a technical guide
JR Leathwick, F Morgan, G Wilson, D Rutledge, M McLeod, K Johnston
Ministry for the Environment, 2002
386*2002
Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish
JR Leathwick, D Rowe, J Richardson, J Elith, T Hastie
Freshwater Biology 50 (12), 2034-2052, 2005
3802005
Land Environments of New Zealand
JR Leathwick, G Wilson, D Rutledge, P Wardle, F Morgan, K Johnston, ...
David Bateman, 2003
3762003
dismo: Species distribution modeling. R package version 1.0-12
RJ Hijmans, S Phillips, J Leathwick, J Elith
2016.[2020-10-20]. https://cran. r-project. org/web/packages/dismo/index. html, 2016
3712016
Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines
J Elith, J Leathwick
Diversity and distributions 13 (3), 265-275, 2007
3542007
Presence‐only data and the EM algorithm
G Ward, T Hastie, S Barry, J Elith, JR Leathwick
Biometrics 65 (2), 554-563, 2009
3232009
Competitive interactions between tree species in New Zealand's old‐growth indigenous forests
JR Leathwick, MP Austin
Ecology 82 (9), 2560-2573, 2001
2722001
Are New Zealand's Nothofagus species in equilibrium with their environment?
JR Leathwick
Journal of Vegetation Science 9 (5), 719-732, 1998
2201998
A method for spatial freshwater conservation prioritization
A Moilanen, J Leathwick, J Elith
Freshwater Biology 53 (3), 577-592, 2008
2192008
Novel methods for the design and evaluation of marine protected areas in offshore waters
J Leathwick, A Moilanen, M Francis, J Elith, P Taylor, K Julian, T Hastie, ...
Conservation Letters 1 (2), 91-102, 2008
2092008
Quantifying relationships between land‐use gradients and structural and functional indicators of stream ecological integrity
JE Clapcott, KJ Collier, RG Death, EO Goodwin, JS Harding, D Kelly, ...
Freshwater Biology 57 (1), 74-90, 2012
1812012
The system can't perform the operation now. Try again later.
Articles 1–20