Addison SA, Smaill SJ, Garrett LG, Wakelin SA. 2019. Effects of forest harvest and fertiliser amendment on soil biodiversity and function can persist for decades. Soil Biology and Biochemistry 135: 194-205. https://doi.org/10.1016/j.soilbio.2019.05.006
Dargahi M, Newson T, Moore J. 2019. Buckling behaviour of trees under self-weight loading. Forestry: An International Journal of Forest Research. https://doi:10.1093/forestry/cpz027
Dash JP, Moore JR, Lee JR, Klápště J, Dungey HS. 2019. Stand density and genetic improvement have site-specific effects on the economic returns from Pinus radiata plantations. Forest Ecology and Management 446 (2019): 80-92. https://doi.org/10.1016/j.foreco.2019.05.003
Gallart M, Love J, Meason DF, Coker G, Clinton PW, Xue J, Jameson PE, Klápště J, Turnbull M.H. 2019. Field-scale variability in site conditions explain phenotypic plasticity in response to nitrogen source in Pinus radiata D. Don. Plant and Soil. pp 1-16. https://doi.org/10.1007/s11104-019-04237-0
Gasser E, Schwarz M, Simon A, Perona P, Phillips C, Hübl J, Dorren L. 2019. A review of modeling the effects of vegetation on large wood recruitment processes in mountain catchments. Earth-Science Reviews 194: 350-373.
Ma P, Han X-H, Lin Y, Moore J, Guo Y-X, Yue M. 2019. Exploring the relative importance of biotic and abiotic factors that alter the self-thinning rule: Insights from individual-based modelling and machine-learning. Ecological Modelling 397:16-24. https://doi:10.1016/j.ecolmodel.2019.01.019
Meason DF, Baillie BS, Höck B, Lad P, Payn T. 2019. Planted forests and water yield in New Zealand’s hydrological landscape – current and future challenges. New Zealand Journal of Forestry 63: 33-39.
Moore J, Lin Y. 2019. Determining the extent and drivers of attrition losses from wind using long-term datasets and machine learning techniques. Forestry: An International Journal of Forest Research. https://doi:10.1093/forestry/cpy047
Nanayakkara B, Dickson A, Meason DF. 2019. Xylogenesis of Pinus radiata D. Don growing in New Zealand. Annals of Forest Science 76:74. https://doi.org/10.1007/s13595-019-0859-2
Rey F, Bifulco C, Bischetti GB, Bourrier F, De Cesare G, Florineth F, Graf F, Marden M, Mickovski S, Phillips C, Peklo K, Poesen J, Polster D, Preti F, Rauch HP, Raymond P. Sangalli P, Tardio G, Stokes A. 2019. Soil and water bioengineering: practice and research needs for reconciling natural hazard control and ecological restoration. Science of the Total Environment 648: 1210-1281. https://doi.org/10.1016/j.scitotenv.2018.08.217
Telfer E, Stovold T, Graham N, Ismael A, Dungey H. 2019. From seed to harvest – factors affecting genetic worth of radiata pine stand over its rotation. New Zealand Journal of Forestry, Vol 64, 32-36.
Tóth A, Yao RT. 2019. Cultural Ecosystem Services and Water Quality Improvement provided by Forest Landscapes in New Zealand. Rotorua: Scion. 23 p. ISBN 978-0-473-48088-2 (print), 978-0-473-48089-9 (digital). https://doi.org/10.15414/2019.9780473480899
Watt MS, Pearse GD, Dash JD, Melia N, Leonardo EMC. 2019. Application of remote sensing technologies to identify impacts of nutritional deficiencies on forests. ISPRS Journal of Photogrammetry and Remote Sensing 149, 226-241.
Yao RT, Palmer D, Hock B, Harrison D, Payn T, Monge J. 2019. Forest Investment Framework as a Support Tool for the Sustainable Management of Planted Forests. Sustainability, Volume 11.
Yao RT, Scarpa R, Harrison DR, Burns RJ. 2019. Does the economic benefit of biodiversity enhancement exceed the cost of conservation in planted forests? Ecosystem Services, 38, 100954.
Burdon RD, Moore JR. 2018. Adverse genetic correlations and impacts of silviculture involving wood properties: analysis of issues for radiata pine. Forests 9 (6). https://doi.org/10.3390/f9060308
Clinton PW. 2018. Future expectations of forest soils: increasing productivity within environmental limits using new knowledge. New Zealand Journal of Agricultural Research. https://doi.org/10.1080/00288233.2018.1446992
Dash JP, Pearse GD, Watt MS. 2018. UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health. Remote Sens. 2018, 10(8), 1216. https://doi.org/10.3390/rs10081216
Dungey HS, Dash JP, Pont D, Clinton PW, Watt MS, Telfer EJ. 2018. Phenotyping whole forests will help track genetic performance. Trends in Plant Science. https://doi.org/10.1016/j.tplants.2018.08.005
Gallart M, Adair KL, Love J, Meason DF, Peter W Clinton PW, Xue J, Matthew H. Turnbull MH. 2018. Host Genotype and Nitrogen Form Shape the Root Microbiome of Pinus radiata. Microbiology Ecology 75 (2), 419-433.
Gallart M, Adair KL, Love J, Meason DF, Clinton PW, Xue J, Turnbull MH. 2018. Genotypic variation in Pinus radiata responses to nitrogen source are related to changes in the root microbiome. FEMS Microbiology Ecology. https://doi.org/10.1093/femsec/fiy071
Marden M, Lambie S, Phillips C. 2018. Biomass and root attributes of eight of New Zealand’s most common indigenous evergreen conifer and broadleaved forest species during the first 5 years of establishment. New Zealand Journal of Forestry Science 48(1): 9. https://doi.org/10.1186/s40490-018-0113-y
Marden M, Lambie S, Rowan D. 2018. Root system attributes of 12 juvenile indigenous early colonising shrub and tree species with potential for mitigating erosion in New Zealand. New Zealand Journal of Forestry Science 48:11. https://doi.org/10.1186/s40490-018-0115-9
Pearse GD, Dash PD, Persson HJ, Watt MS. 2018. Comparison of high-density LiDAR and satellite photogrammetry for forest inventory. ISPRS Journal of Photogrammetry and Remote Sensing Volume 142, August 2018, Pages 257-267.
Rodríguez‐Gamir J, Xue J, Clearwater MJ, Meason DF, Clinton PW, Domec JC. 2018. Aquaporin regulation in roots controls plant hydraulic conductance, stomatal conductance, and leaf water potential in Pinus radiata under water stress. Plant, Cell & Environment. https://doi.org/10.1111/pce.13460
Schimleck L, Antony F, Dahlen J, Moore J. 2018. Wood and Fiber Quality of Plantation-Grown Conifers: A Summary of Research with an Emphasis on Loblolly and Radiata Pine. Forests 9 (6). https://doi.org/10.3390/f9060298
Zhou XQ, Xu CY, Bai SH, Xu ZH, Smaill SJ, Clinton PW, Chen CR. 2018. Manipulating interactions between plant stress responses and soil methane oxidation rates. Biogeosciences. https://doi.org/10.5194/bg-2018-102
Auty D, Moore J, Achim A, Lyon A, Mochan S, Gardiner B. 2017. Effects of early respacing on the density and microfibril angle of Sitka spruce wood. Forestry. doi:10.1093/forestry/cpx004
Dash DP, Watt MS, Pearse GD, Heaphy M, Dungey HS. 2017. Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak. ISPRS Journal of Photogrammetry and Remote Sensing 131, 1-14
Dickson A, Nanayakkara B, Sellier D, Meason D, Donaldson L, and Brownlie R. 2017. Fluorescence imaging of cambial zones to study wood formation in Pinus radiata D. Don. Trees – Structure and Function. 31(2): 479-490.
Giadrossich F, Schwarz M, Cohen D, Cislaghi A, Vergani C, Hubble T, Phillips C, Stokes A. 2017. Methods to measure the mechanical behaviour of tree roots: A review. Ecological Engineering 109: 256-271.
Hubble T, Clarke S, Stokes A, Phillips C. 2017. 4th International Conference on soil bio- and eco-engineering (SBEE2016) ‘The Use of Vegetation to Improve Slope Stability’. Special issue editorial. Ecological Engineering 109: 141-144.
Kimberley MO, Watt MS, Harrison D. 2017. Characterising prediction error as a function of scale in spatial surfaces of tree productivity. New Zealand Journal of Forestry Science. 47:19.
Mammeri Y, Sellier D. 2017. A surface model of nonlinear, non-steady-state phloem transport. Mathematical Biosciences and Engineering 14, 1055-1069.
Moore J, Cown D. 2017. Corewood (Juvenile Wood) and Its Impact on Wood Utilisation. Curr Forestry Rep. https://doi.org/10.1007/s40725-017-0055-2
Moore J, Dash J, Lee J, McKinley R, Dungey H. 2017. Quantifying the influence of seedlot and stand density on growth, wood properties and the economics of growing radiata pine. Forestry 2017; 00, 1–14, https://doi.org/10.1093/forestry/cpx016
Pearse GD, Morgenroth JA, Watt MS, Dash JP. 2017. Optimising prediction of forest leaf area index from discrete airborne lidar. Remote Sensing of Environment 200 Pages 220–239. https://doi.org/10.1016/j.rse.2017.08.002
Phillips C, Marden M, Basher LR. 2017. Geomorphology and forest management in New Zealand’s erodible steeplands: An overview. Geomorphology 307: 109-121.
Thumm A, Riddell M. 2017. Resin defect detection in appearance lumber using 2D NIR spectroscopy. European Journal of Wood and Wood Products, 1-8.
Watt MS, Kimberley MO, Dash J, Harrison D. 2017. Spatial prediction of optimal final stand density for even age plantation forests using productivity indices. Canadian Journal of Forest Research 47, 527-535.
Yongjun L, Suontama M, Burdon R, Dungey H. 2017. Genotype by environment interactions in forest tree breeding: review of methodology 1 and perspectives on research and application. Tree Genetics and Genomes 13 (3).
Dash JP, Watt MS, Bhandari S, Watt P. 2016. Characterising Stand Structure using combinations of airborne laser scanning data, RapidEye satellite imagery and environmental data. Forestry 89(2).
Hölbling D, Betts H, Spiekermann R, Phillips C. 2016. Identifying spatio-temporal landslide hotspots by analyzing historical and recent aerial photography. Geosciences 2016, 6, 48; doi:10.3390/geosciences6040048
Legg M, Bradley S. 2016. Measurement of Stiffness of Standing Trees and Felled Logs using Acoustics: A Review. The Journal of the Acoustic Society of America, 139, 588-604.
McLean JP, Moore JR, Gardiner BA, Lee SJ, Mochan SJ, Jarvis MC. 2016. Variation of radial wood properties from genetically improved Sitka spruce growing in the UK. Forestry 89 (2):109-116. doi:10.1093/forestry/cpv035.
Monge JJ, Parker WJ, Richardson JW. 2016. Integrating Forest Ecosystem Services into the Farming Landscape: A Stochastic Economic Assessment. Journal of Environmental Management 174, 87-99.
Pearse G, Watt MS, Morgenroth J. 2016. Comparison of optical LAI measurements under diffuse and clear skies after correcting for scattered radiation. Agricultural Forest Meteorology, 221, pp61.
Watt MS, Dash JP, Watt P, Bhandari S. 2016. Multi-sensor modelling of a forest productivity index for radiata pine plantations. New Zealand Journal of Forestry Science 46 (1), 9
Baillie B, Neary DG. 2015. Water quality in New Zealand’s planted forests: a review. New Zealand Journal of Forestry Science 45:7.
Dash JP, Marshall H, Rawley B. 2015. Methods for estimating multivariate stand yields and errors using k-NN and aerial laser scanning. Forestry. Published online January 16 2015. http://forestry.oxfordjournals.org/content/early/2015/01/16/forestry.cpu054.abstract
Donaldson LA, Nanayakkara B. 2015. Xylem parenchyma cell walls lack a
gravitropic response in conifer compression wood. Planta, 242:1413-1424.
Gordon AD, Pont D. 2015. Inventory estimates of stem volume using nine sampling methods in thinned Pinus radiata stands, New Zealand. New Zealand Journal of Forestry Science 45: 8. DOI 10.1186/s40490-015-0037-8
Kimberley MO, Cown DJ, McKinley RB, Moore JR, Dowling LJ. 2015. Modelling variation in wood density within and among trees in stands of New Zealand-grown radiata pine. New Zealand Journal of Forestry Science 45:22.
Li Y, Xue J, Clinton PW, Dungey HS. 2015. Genetic parameters and clone by environment interactions for growth and foliar nutrient concentrations in radiata pine on 14 widely diverse New Zealand sites. Tree Genetics & Genomes 11(1), 1-16.
Marden M, Rowan D. 2015. The effect of land use on slope failure and sediment generation in the Coromandel region of New Zealand following a major storm in 1995.
Mitrović A, Donaldson LA, Djikanović D, Pristov JB, Simonović J, Mutavdžić D, Kalauzi A, Maksimović V, Nanayakkara B, Radotić K. 2015. Analysis of static bending-induced compression wood formation in juvenile Picea omorika (Pančić) Purkynĕ. Trees – Structure and Function http://link.springer.com/article/10.1007/s00468-015-1234-z
Moore JR, Cown DJ, McKinley RB, Sabatia CO. 2015. Effects of stand density and seedlot on three wood properties of young radiata pine grown at a dry-land site in New Zealand. New Zealand Journal of Forestry Science 45. doi: 10.1186/s40490-015-0035-7.
Murphy G., Cown D. 2015. Stand, stem and log segregation based on wood properties: a review. Scandinavian Journal of Forest Research. http://dx.doi.org/10.1080/02827581.2015.1055791.
Nanayakkara B, Riddell MJC, Harrington JJ. 2015. Screening for compression wood p-hydroxyphenyl to guaiacyl ratio in Pinus radiata clones using pyrolysis gas-chromatography mass-spectrometry (Py-GC/MS). Holzforschung. DOI:10.1515/hf-2015-0068
Phillips CJ, Marden M, Lambie SM. 2015. Observations of “coarse” root development in young trees of nine exotic species from a New Zealand plot trial
New Zealand Journal of Forestry Science 45:13. https://link.springer.com/article/10.1186/s40490-015-0043-x
Pont D, Kimberley MO, Brownlie RK, Sabatia CO, Watt MS. 2015. Calibrated tree counting on remotely sensed images of planted forests. International Journal of Remote Sensing.
Sabatia CO, Burkhart HE. 2015. On the use of upper stem diameters to localize a segmented taper equation to new trees. Forest Science 61 (3), 411-423.
Waghorn MJ, Whitehead D, Watt MS, Mason EG, Harrington JJ. 2015. Growth, biomass, leaf area and water-use efficiency of juvenile Pinus radiata in response to water deficits. New Zealand Journal of Forestry Science 45:3. https://link.springer.com/article/10.1186/s40490-015-0034-y
Watt MS, Dash J, Bhandari S, Watt P. 2015. Comparing parametric and non-parametric methods of predicting Site Index for radiata pine using combinations of data derived from environmental surfaces, satellite imagery and airborne laser scanning. Forest Ecology and Management 357, 1-9.
Barry LE, Yao RT, Harrison DR, Paragahawewa UH, Pannell DJ. 2014. Enhancing ecosystem services through afforestation: How policy can help. Land Use Policy 39: 135-145.
Carson SD, Cown DJ, McKinley RB, Moore JR. 2014. Effects of site, silviculture and seedlot on wood density and estimated wood stiffness in radiata pine at mid-rotation. New Zealand Journal of Forestry Science 44(1).
Heaphy MJ, Lowe DJ, Palmer DJ, Jones HS, Gielen GJH, Oliver GR, Pearce SH. 2014. Assessing drivers of plantation forest productivity on eroded and non-eroded soils in hilly and steep land in eastern North Island, New Zealand. New Zealand Journal of Forestry Science.
Hock BK, Payn TW, Heaphy MJ. 2014. Issues in the re-use of non-forestry specific spatial data sources for national environmental reporting on planted forests in New Zealand. Journal of Spatial Science 59(2), 237-252.
Moore JR, Cown DJ, McKinley RB. 2014. Modelling microfibril angle variation in New Zealand-grown radiata pine. New Zealand Journal of Forestry Science 44(1), 25.
Murphy G. 2014. Priority list bucking on a mechanized harvester considering external properties and stiffness of Douglas-fir. International Journal of Forest Engineering http://dx.doi.org/10.1080/14942119.2014.973177.
Smaill SJ, Clinton PW, Allen RB, Leckie AC, Davis MR. 2014. Coarse soil can enhance the availability of nutrients from fine soil, Journal of Plant Nutrition and Soil Science 177, 848–850.
Wan X, Huang Z, He Z, Yu Z, Wang M, Davis MR, Yang Y. 2014. Soil C:N ratio is the major determinant of soil microbial community composition in subtropical coniferous and broadleaf forest plantations. Plant Soil. DOI 10.1007/s11104-014-2277-4.
Watt MS, Meredith A, Watt P, Gunn A. 2014. The influence of LiDAR pulse density on the precision of inventory metrics in young unthinned Douglas-fir stands during initial and subsequent LiDAR acquisitions. New Zealand Journal of Forest Science 44: 18.
Watt MS, Trincado G. 2014. Modelling between tree and longitudinal variation in green density within Pinus radiata: implications for estimation of MOE by acoustic methods. New Zealand Journal of Forestry Science 44(1), 1-10.
Yao RT, Scarpa R, Rose JM, Turner J. 2014. Experimental design criteria and their behavioural efficiency: An evaluation in the field. Environmental and Resource Economics.
Yao RT, Scarpa R, Turner JA, Barnard TD, Rose JM, Palma JHN, Harrison DR. 2014. Valuing biodiversity enhancement in New Zealand’s planted forests: Socioeconomic and spatial determinants of willingness-to-pay. Ecological Economics 98: 90-101.
Watt MS, Meredith A, Watt P, Gunn A. 2013. Use of LiDAR to estimate stand characteristics for thinning operations in young Douglas-fir plantations. New Zealand Journal of Forestry Science 43:18, 175-184.
PS: For further information on specific publications the Scion author can be contacted directly.