The inventory of carbon stock in new zealand's post-1989 planted forest for reporting under the kyoto protocol

Forest Ecology and Management

Volumn 262, Issue 6, 2011, Pages 1119-1130

  Beets, P N ^a   Brandon, A M ^b   Goulding, C J ^a   Kimberley, M O ^a   Paul, T S H ^a   Searles, N ^b  

^a SCION   (New Zealand)

^b Ministry for the Environment New Zealand   (New Zealand)

Author keywords

Allometric relationships; Carbon sequestration; Greenhouse gases; Kyoto protocol; LiDAR; National forest inventory

Indexed keywords

AIRBORNE LIDAR; ALLOCATION MODEL; ALLOMETRIC RELATIONSHIP; ANTHROPOGENIC GREENHOUSE GAS EMISSIONS; BASAL AREA; CARBON POOL; CARBON SEQUESTRATION; CARBON STOCKS; DEAD WOOD; DOUBLE SAMPLING; FOREST INVENTORY; GOOD PRACTICES; GROUND BASED; INTEGRATED SYSTEMS; KYOTO PROTOCOL; LAND-USE CHANGE; NATIONAL FOREST INVENTORIES; NEW ZEALAND; PERMANENT SAMPLE PLOTS; PINUS RADIATA; PLANTED TREES; REGRESSION ESTIMATORS; SAMPLING EFFICIENCY; SQUARE GRID; TREES AND SHRUBS; UNITED NATIONS FRAMEWORK CONVENTION ON CLIMATE CHANGES; WOOD DENSITY; WOODY BIOMASS;

EMISSION CONTROL; FORESTRY; GAS EMISSIONS; GLOBAL WARMING; GREENHOUSE GASES; INTERNATIONAL COOPERATION; LAKES; LAND USE; OPTICAL RADAR; PLANT EXTRACTS; SATELLITE IMAGERY;

MAPPING;

ANTHROPOGENIC EFFECT; BASAL AREA; BELOWGROUND BIOMASS; CARBON SEQUESTRATION; CONIFEROUS TREE; EMISSION; ESTIMATION METHOD; FOREST ECOSYSTEM; FOREST INVENTORY; FORESTRY MODELING; GREENHOUSE GAS; INVASIVE SPECIES; KYOTO PROTOCOL; LAND USE CHANGE; LIDAR; MATHEMATICAL ANALYSIS; MEASUREMENT METHOD; PHOTOGRAPHY; PLANTATION; REGRESSION ANALYSIS; SATELLITE IMAGERY; SHRUB; UNITED NATIONS FRAMEWORK CONVENTION ON CLIMATE CHANGE; WOODLAND;

CARBON; CHELATION; EXTRACTIVES; FORESTRY; GREENHOUSE GASES; IMAGE ANALYSIS; LAKES; LAND USE; MAPPING; PLANTS; RADAR; SATELLITES;

NEW ZEALAND;

PINUS RADIATA;

EID: 79960051646     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2011.06.012     Document Type: Article

References (54)

1. Anon. A National Exotic Forest Description as at 1 April 2009 2010, Ministry of Agriculture and Forestry, Wellington, New Zealand, 64pp.
2. Anon. New Zealand's Greenhouse Gas Inventory 1990-2008. Publication ME1009 2010, Ministry for the Environment, Wellington, New Zealand, 362pp.
3. Anon. New Zealand's Greenhouse Gas Inventory 1990-2009. Publication ME1045 2011, Ministry for the Environment, Wellington, New Zealand, 387pp.
4. Bakker J.P., Olff H., Willems J.H., Zobel M. Why do we need permanent plots in the study of long-term vegetation dynamics?. Journal of Vegetation Science 1996, 7:147-156.
5. Bechtold, W.A., Patterson, P.L., 2005. The Enhanced Forest Inventory and Analysis Program - National Sampling Design and Estimation Procedures. USDA USFS General Technical Report SRS-80, 85pp.
6. Beets P.N., Pollock D.S. Accumulation and partitioning of dry matter in Pinus radiata as related to stand age and thinning. New Zealand Journal of Forestry Science 1987, 17:246-271.
7. Beets P.N., Whitehead D. Carbon partitioning in Pinus radiata stands in relation to foliar nitrogen status. Tree Physiology 1996, 16:131-138.
8. Beets P.N., Robertson K., Ford-Robertson J.B., Gordon J., MacLaren J.P. Description and validation of C_Change: a model for simulating carbon content in managed Pinus radiata stands. New Zealand Journal of Forest Science 1999, 29:409-427.
9. Beets P.N., Kimberley M.O., McKinley R. Predicting wood density of Pinus radiata annual growth increments. New Zealand Journal of Forestry Science 2007, 37:241-266.
10. Beets P.N., Pearce S.H., Oliver G.R., Clinton P.W. Root/shoot ratios for deriving below-ground biomass of Pinus radiata stand. New Zealand Journal of Forestry Science 2007, 37:267-288.
11. Beets P.N., Kimberley M.O., Goulding C.J., Garrett L.G., Oliver G.R., Paul T.S.H. Natural Forest Plot Data Analysis: Carbon Stock Analyses and Re-Measurement Strategy. Scion Contract Report No. 42782 2009, Ministry for the Environment, Wellington.
12. Beets P.N., Brandon A., Fraser B.V., Goulding C.J., Lane P.M., Stephens P.R. National forest inventories reports: New Zealand. National Forest Inventories - Pathways for Common Reporting 2010, 391-410. Springer, ISBN 978-90-481-3232-4. E. Tomppo, T. Gschwantner, M. Lawrence, R.E. McRoberts (Eds.).
13. Beets, P.N., Kimberley, M.O., Paul, T.S.H., Garrettt, L.G., in press. Planted forest carbon monitoring system. Forest carbon model validation study for Pinus radiata. New Zealand Journal of Forestry Science.
14. Boudreau J., Nelson R.F.F., Margolis H.A., Beaudoin L.G., Kimes D.S. Regional aboveground forest biomass using airborne and space borne LiDAR in Quebec. Remote Sensing of the Environment 2008, 112:3876-3890.
15. Cairns M.A., Brown S., Helmer E.H., Baumgardner G.A. Root biomass allocation in the worlds upland forests. Oecologia 1997, 111:1-11.
16. Cochran W.G. Sampling Techniques 1977, John Wiley, New York, 428pp. third ed.
17. Coomes D.A., Allen R.B., Scott N.A., Goulding C.J., Beets P.N. Designing systems to monitor carbon stocks in forests and shrublands. Forest Ecology and Management 2002, 164:89-108.
18. Drake J.B., Dubayah R.O., Clark D.B., Knox R.G., Blair J.B., Hoffman M.A. Estimation of tropical forest structural characteristics using large-footprint LiDAR. Remote Sensing of Environment 2002, 79:305-319.
19. FAO State of the World's Forests 2009, Food and Agricultural Organisation of the United Nations, Rome, 152pp.
20. FAO, 2006. Global Forest Resources Assessment 2005 - Progress towards Sustainable Forest Management. FAO Forestry Paper No. 147.
21. Fogarty L.G., Pearce H.G. Draft Field Guides for Determining Fuel Loads and Biomass in New Zealand Vegetation Types. Fire Technology Transfer Note No. 21 2000, New Zealand Forest Research Institute, Rotorua, 9pp.
22. Garrett L.G., Kimberley M.O., Oliver G.R., Pearce S.H., Paul T.S.H. Decomposition of woody debris in managed Pinus radiata plantations in New Zealand. Forest Ecology and Management 2010, 260:1389-1398.
23. Gordon A.D., van der Colff M. Individual tree equations. Forestry Handbook 2005, 159-160. New Zealand Institute of Forestry, Christchurch. fourth ed. M. Colley (Ed.).
24. Goulding C.J. Measurement of trees. Forestry Handbook 2005, 145-148. New Zealand Institute of Forestry, Christchurch. fourth ed. M. Colley (Ed.).
25. Hahn J.T., MacLean C.D., Arner S.L., Bechtold W.A. Procedures to handle inventory cluster plots that straddle two or more conditions. Forest Science Monograph 1995, 31:12-25.
26. Holmgren J., Nilsson M., Olsson H. Estimation of tree height and stem volume on plots using airborne laser scanning. Forest Science 2003, 49:419-428.
27. Holmgren, J., Wallerman, J., 2006. Estimation of tree size distribution by combining vertical and horizontal distribution of LIDAR measurements with extraction of individual trees. In: Proceedings, EARSeL ISPRS Workshop, 3D Remote Sensing in Forestry, Vienna, pp. 157-163.
28. IPCC, 2003. Good Practice Guidance for Land Use, Land-Use Change and Forestry. Institute for Global Environmental Strategies (IGES), Japan.
29. Kimberley M.O., West G.G., Dean M.G., Knowles L.R. The 300 index - a volume productivity index for radiata pine. New Zealand Journal of Forestry 2005, 50:13-18.
30. Köhl, M., Scott, C.T., 2000. A comparison of periodic versus permanent surveys. In: Burk, T.E., Hansen, M.G. (Eds.), Integrated Tools for Natural Resources Inventories in the 21st Century: Proceedings of the IUFRO Conference. GTR-NC-212. St. Paul, MN. US Department of Agriculture Forest Service, North Central Research Station, pp. 94-103.
31. Lefsky M.A., Cohen W.B., Harding D.J., Geoffrey G.P., Acker S.A., Gower S.T. LiDAR remote sensing of aboveground biomass in three biomes. Global Ecology and Biogeography 2002, 11:393-399.
32. Li Y.Z., Anderson Hans-Erik, McGaughey R. A comparison of statistical models for estimating forest biomass from light detection and ranging data. Western Journal of Applied Forestry 2008, 23:223-231.
33. Lim K.S., Treitz P.M. Estimation of above ground forest biomass from airborne discrete return laser scanner data using canopy-based quantile estimators. Scandinavian Journal of Forest Research 2004, 19:558-570.
34. Lim K.S., Treitz P.M., Wulder M., St-Onge B., Flood M. LiDAR remote sensing of forest structure. Progress in Physical Geography 2003, 27:88-106.
35. Madgwick H.A.I., Jackson D.S., Knight P.J. Above-ground dry matter, energy, and nutrient contents in an age series of Pinus radiata plantations. New Zealand Journal of Forestry Science 1977, 7:445-468.
36. McGaughey R.J. Fusion/LDV: Software for LiDAR Data Analysis and Visualisation 2010, Pacific Northwest Research Station, USDA Forest Service, Seattle, 150pp.
37. McGaughey, R.J., Carson, W.W., Reutebuch, S.E., Andersen, H.E., 2004. Direct measurement of individual tree characteristics from LiDAR data. In: Proceedings of the 2004 Annual ASPRS Conference, May 23-28 Denver, Colorado, USA. American Society of Photogrammetry and Remote Sensing.
38. Næsset E. Estimating timber volume of forest stands using airborne laser scanner data. Remote Sensing of Environment 1997, 61:246-253.
39. Næsset E. Predicting forest stand characteristics with airborne laser using a practical two-stage procedure and field data. Remote Sensing of Environment 2002, 80:88-99.
40. Næsset E. Airborne laser scanning as a method of operational forest inventory: status of accuracy assessments accomplished in Scandinavia. Scandinavian Journal of Forest Research 2007, 22:433-442.
41. Næsset E., Gobakken T., Holmgren J., Hyyppä H., Hyyppä J., Maltamo M., Nilsson M., Olsson H., Persson Å., Söderman U. Laser scanning of forest resources: the Nordic experience. Scandinavian Journal of Forest Research 2004, 19:482-499.
42. Nelson R., Valenti M.A., Short A., Keller C. A multiple resource inventory of Delaware using airborne laser data. Bioscience 2003, 53:981-992.
43. Nilsson M. Estimation of tree heights and stand volume using an airborne lidar system. Remote Sensing of Environment 1996, 56:1-7.
44. Oliver G.R., Pearce S.H., Graham J.D., Beets P.N. Carbon in Plantation Understorey Shrubs. Scion Contract Report 43877 2009, Ministry for the Environment, Wellington.
45. Overton W.S., Stehman S.V. Desirable design characteristics for long-term monitoring of ecological variables. Environmental and Ecological Statistics 1996, 3:349-361.
46. Patenaude G., Hill R.A., Milne R., Gaveau D.L.A., Briggs B.B.J., Dawson T.P. Quantifying forest above ground carbon content using LiDAR remote sensing. Remote Sensing of Environment 2004, 93:368-380.
47. Payton I.J., Newell C.L., Beets P.N. New Zealand Carbon Monitoring System Indigenous Forest and Shrubland Data Collection Manual 2004, The Caxton Press, Christchurch.
48. Payton, I.J., Moore, J.R., Burrows, L.E., Goulding, C.J., Beets, P.N., Dean, M., Herries, D.L., 2008. New Zealand Carbon Monitoring System Planted Forest Data Collection Manual. Version 3. Report for the Ministry for the Environment, Wellington, 75pp.
49. Scott, C.T., 1993. Optimal design of a plot cluster for monitoring. In: Rennolls, K., Gertner, G. (Eds.), Proceedings of the Optimal Design of Forest Experiments and Forest Surveys Proceedings, IUFRO S.4.11 Conference. University of Greenwich, London, UK, pp. 233-242.
50. Stephens, P.R., Watt, P.J., Loubser, D., Haywood, A., Kimberley, M.O., 2007. Estimation of carbon stocks in New Zealand planted forests using airborne scanning LiDAR. Workshop on Laser Scanning, September 12-14, Finland, pp. 389-394 (IAPRS XXXVI, Part 3/W52).
51. Stephens, P.R., McGaughey, R.J., Dougherty, T., Farrier, T., Geard, B., Loubser, D., 2008. Quality assurance and quality control procedures of airborne scanning LiDAR for a nation-wide carbon inventory of planted forests. In: Hill, R.A., Rosette, J., Suárez, J. (Eds.), Proceedings of SilviLaser 2008: Eighth International Conference on LiDAR Applications in Forest Assessment and Inventory, September 2008, Edinburgh, UK, pp. 563-571.
52. Tomppo E., Gschwantner Th., Lawrence M., McRoberts R.E. National Forest Inventories - Pathways for Common Reporting 2010, Springer, ISBN 978-90-481-3232-4.
53. Van Deusen P.C. Forest inventory estimation with mapped plots. Canadian Journal of Forest Research 2004, 34:493-497.
54. Zhao K., Popescu S., Nelson R.. LiDAR remote sensing of forest biomass: a scale-invariant estimation approach using airborne lasers. Remote Sensing of Environment 2009, 113:182-196.