- Phone: +64 7 343 5376
- Email: Andrew.Dunningham@scionresearch.com
- Web: http://nz.linkedin.com/pub/andrew-dunningham/27/8a6/717
- Team: Forest Industry Informatics
- Role: Scientist; Research Leader, Informatics and Bioinformatics; Project Leader, Education and Outreach
AboutAndrew Dunningham is a specialist in geographic information systems and remote sensing. His expertise is applied to many aspects of forest management including carbon assessment and forest health monitoring systems.
- Postgraduate Diploma Science Education, University of Waikato - 2011.
- BCom (Management Information Systems), University of Auckland, New Zealand - 1984
- Specialist in remote sensing of the environment, spatial data analysis, geographic information systems, data services, climate change and adaptation in plantation forests, Systems analysis; Science education and outreach
- Extensive knowledge of Criteria and indicators of sustainable forest management;
- Wide science skill-base, Science technology transfer; web 2.0 tools; Learning management systems
- 2008 – Current, Scientist and Project Leader; Education and Outreach
- 1995 – 2008, Scientist. Ensis Forest and Environment, Scion, Rotorua. Objective Leader: FRST Contact: Resource Assessment.
Bellingham, P; Wiser, S K; Coomes, D A; Dunningham, A G 2000: Review of permanent plots for long-term monitoring of New Zealand's indigenous forests. Science for Conservation 151, Department of Conservation, 75p, July 2000
Bulman, L S; Dunningham, A G; Sims, N C; Brownlie, R K. 2005. Evaluation of remote sensing technologies for forest health applications. Contract Report to Forest Biosecurity Research Council.
Crawford, K., Spence H., Barnard T. and Dunningham A. 2008: 1st year university science students workshop report. Education and Outreach Technical Report No 2.
Crawford, K., Spence H., Barnard T. and Dunningham A. 2008: Science Teachers workshop report. Education and Outreach Technical Report No 1.
Dunningham, A G; Fallon, G; Barnard, T D; 2010. Science-for-Life Programme Description Document
Dunningham, A G; 2010 Science-for-Life Programme Description Document: CRI- School Partnership Programme Guide.
Dunningham A.G. 2006: The Montreal Process. New Zealand Experts Indicator Review. Contract report for Ministry of Agriculture and Forestry.
Dunningham A.G., 2006. Ecosystem Services of New Zealand’s Forests. Contract report for Ministry of Agriculture and Forestry.
Dunningham A.G. 2003. The International Conference on the Contribution of Criteria and Indicators for Sustainable Forest Management: The Way Forward. Conference Report. Contract report for Ministry of Agriculture and Forestry.
Dunningham A. G. 1999. Report on International Environmental Agreements: A Review of Reporting Requirements for Forests and Land Use. Ministry for the Environment Contract Report.
Dunningham, A G; Barnard, T D; Crawford, K; Falloon, G., and Spence, H. 2009. A Synthesis of the Science for Life Project
Dunningham, A.G., 2005. Growing Conditions. In Colley M, (Ed) NZIF Forestry Handbook, New Zealand Institute of Forestry (inc) Christchurch.
Dunningham A. G., Brownlie R., Firth J., 2000: Classification Accuracy Assessment of the Land Cover Database v 1. Results. Ministry for the Environment Contract Report.
Hock, B K; Dunningham, A G; Gordon, A D; Baker, D. 2003. Using remote sensing for inventory - some costs and benefits.
Lavery, J M; Payn, T W; Hock, B K; Clinton, P W; Dunningham, A G; Barnard, T D; Skinner, M F 2003. Organising and modelling for criterion and indicator-based sustainable plantation forest management in developed countries: the New Zealand conceptual example. North American Forest Soils Conference, July 2003, Sault ste. Marie, Ontario, Canada
Palmer, D J; Hock, B K; Lowe, D J; Dunningham, A G; Payn, T W.. 2006. National-scale modelling using Terrain attributes of New Zealand (TANZ). Internal Report.
Watt, M S; Coker, G W R; Clinton, P W; Davis, M R; Parfitt, R L; Simcock, R C; Garrett, L G; Payn, T W; Richardson, B; Dunningham, A. 2005. Defining sustainability of plantation forests through identification of site quality indicators influencing productivity - a national view for New Zealand. Forest Ecology and Management 216 (2005): 51-63
Watt, M S; Kriticos, D; Alexander, N S; Dunningham, A G; Alcaraz, S A; Richardson, B. 2005. Predicting the Spatial Distribution of Forest Weed Communities. (Submitted to Oikos)