Reference health
The inventory of carbon stock in New Zealand’s post-1989 planted forest for reporting under the Kyoto protocol
23/23 checkable references clean · checked 2026-07-25
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
31 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 23 checked references that resolve
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Why do we need permanent plots in the study of long‐term vegetation dynamics?
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Carbon partitioning in Pinus radiata stands in relation to foliage nitrogen status
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Regional aboveground forest biomass using airborne and spaceborne LiDAR in Québec
resolves10.1016/S0378-1127(01)00592-8
Designing systems to monitor carbon stocks in forests and shrublands
resolves10.1016/S0034-4257(01)00281-4
Estimation of tropical forest structural characteristics using large-footprint lidar
resolves10.1016/j.foreco.2010.07.041
Decomposition of woody debris in managed Pinus radiata plantations in New Zealand
resolves10.1093/forestscience/41.s2.12
Procedures to Handle Inventory Cluster Plots that Straddle Two or More Conditions
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Estimation of Tree Height and Stem Volume on Plots Using Airborne Laser Scanning
resolves10.1046/j.1466-822x.2002.00303.x
Lidar remote sensing of above‐ground biomass in three biomes
resolves10.1093/wjaf/23.4.223
A Comparison of Statistical Methods for Estimating Forest Biomass from Light Detection and Ranging Data
resolves10.1080/02827580410019490
Estimation of above ground forest biomass from airborne discrete return laser scanner data using canopy-based quantile estimators
resolves10.1016/S0034-4257(97)00041-2
Estimating timber volume of forest stands using airborne laser scanner data
resolves10.1016/S0034-4257(01)00290-5
Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data
resolves10.1080/02827580701672147
Airborne laser scanning as a method in operational forest inventory: Status of accuracy assessments accomplished in Scandinavia
resolves10.1641/0006-3568(2003)053[0981:AMRIOD]2.0.CO;2
A Multiple Resource Inventory of Delaware Using Airborne Laser Data
resolves10.1016/0034-4257(95)00224-3
Estimation of tree heights and stand volume using an airborne lidar system
resolves10.1007/BF00539371
Desirable design characteristics for long-term monitoring of ecological variables
resolves10.1016/j.rse.2004.07.016
Quantifying forest above ground carbon content using LiDAR remote sensing
resolves10.1016/j.rse.2008.09.009
Lidar remote sensing of forest biomass: A scale-invariant estimation approach using airborne lasers
The 31 references without a DOI — listed, not checked
no DOI — not checked10.1016/j.foreco.2011.06.012_b0005
no DOI — not checked10.1016/j.foreco.2011.06.012_b0015
no DOI — not checked10.1016/j.foreco.2011.06.012_b0010
no DOI — not checkedBechtold, 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.
no DOI — not checkedAccumulation and partitioning of dry matter in Pinus radiata as related to stand age and thinning
no DOI — not checkedDescription and validation of C_Change: a model for simulating carbon content in managed Pinus radiata stands
no DOI — not checkedPredicting wood density of Pinus radiata annual growth increments
no DOI — not checkedRoot/shoot ratios for deriving below-ground biomass of Pinus radiata stand
no DOI — not checked10.1016/j.foreco.2011.06.012_b0055
no DOI — not checkedNational forest inventories reports: New Zealand
no DOI — not checkedBeets, 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.
no DOI — not checked10.1016/j.foreco.2011.06.012_b0080
no DOI — not checked10.1016/j.foreco.2011.06.012_b0095
no DOI — not checkedFAO, 2006. Global Forest Resources Assessment 2005 – Progress towards Sustainable Forest Management. FAO Forestry Paper No. 147.
no DOI — not checked10.1016/j.foreco.2011.06.012_b0105
no DOI — not checkedIndividual tree equations
no DOI — not checkedMeasurement of trees
no DOI — not checkedHolmgren, 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.
no DOI — not checkedIPCC, 2003. Good Practice Guidance for Land Use, Land-Use Change and Forestry. Institute for Global Environmental Strategies (IGES), Japan.
no DOI — not checkedThe 300 index – a volume productivity index for radiata pine
no DOI — not checkedKöhl, 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.
no DOI — not checkedAbove-ground dry matter, energy, and nutrient contents in an age series of Pinus radiata plantations
no DOI — not checked10.1016/j.foreco.2011.06.012_b0175
no DOI — not checkedMcGaughey, 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.
no DOI — not checked10.1016/j.foreco.2011.06.012_b0215
no DOI — not checked10.1016/j.foreco.2011.06.012_b0230
no DOI — not checkedPayton, 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.
no DOI — not checkedScott, 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.
no DOI — not checkedStephens, 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).
no DOI — not checkedStephens, 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.
no DOI — not checked10.1016/j.foreco.2011.06.012_b0255
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