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Stephen McNeill

Senior Researcher - Geostatistics
Informatics
Stephen McNeill
Phone
+64 3 321 9737
Location
Lincoln
Contact Stephen

Qualifications

Massey
MS Applied Statistics
2010

Massey
DipSc
1999

Canterbury
PhD Electrical & Electronic
1987

Canterbury
BEng (Hons) Electrical
1981

Publications

McNeill SJ, Lilburne LR, Carrick S, Webb TH, Cuthill T 2018. Pedotransfer functions for the soil water characteristics of New Zealand soils using S-map information. Geoderma 326: 96-110. WOS:000433648800009 https://doi.org/10.1016/j.geoderma.2018.04.011

Basher L, Betts H, Lynn I, Marden M, McNeill S, Page M, Rosser B 2018. A preliminary assessment of the impact of landslide, earthflow, and gully erosion on soil carbon stocks in New Zealand. Geomorphology 307: 93–106. https://doi.org/10.1016/j.geomorph.2017.10.006

Lyver PO, Barron M, Barton KJ, Ainley DG, Pollard A, Gordon S, McNeill S, Ballard G, Wilson PR 2014. Trends in the breeding population of Adélie penguins in the Ross Sea, 1981-2012: a coincidence of climate and resource extraction effects. PLOS One 9(3): e91188. https://doi.org/10.1371/journal.pone.0091188

Beare MH, McNeill SJ, Curtin D, Parfitt RL, Jones HS, Dodd MB, Sharp J 2014. Estimating the organic carbon stabilisation capacity and saturation deficit of soils: a New Zealand case study. Biogeochemistry 120(1–3): 71–87. https://doi.org/10.1007/s10533-014-9982-1

Holdaway RJ, McNeill SJ, Mason NWH, Carswell FE 2014. Propagating uncertainty in plot-based estimates of forest carbon stock and carbon stock change. Ecosystems 17(4): 627–640. https://doi.org/10.1007/s10021-014-9749-5

Hedley CB, Payton IJ, Lynn IH, Carrick ST, Webb TH, McNeill S 2012. Random sampling of stony and non-stony soils for testing a national soil carbon monitoring system. Soil research 50(1): 18-29. https://doi.org/http://dx.doi.org/10.1071/SR11171

Lehmann EA, Caccetta PA, Zhou ZS, McNeill SJ, Wu X, Mitchell AL 2012. Joint Processing of Landsat and ALOS-PALSAR Data for Forest Mapping and Monitoring. IEEE Transactions on geoscience and remote sensing 50(1): 55-67. WOS:000298782000006 https://doi.org/10.1109/tgrs.2011.2171495