The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Assessing Tree and Stand Biomass: A Review with Examples and Critical Comparisons
Open accessAbstract
There is considerable interest today in estimating the biomass of trees and forests for both practical forestry issues and scientific purposes. New techniques and procedures are brought together along with the more traditional approaches to estimating woody biomass. General model forms and weighted analysis are reviewed, along with statistics for evaluating and comparing biomass models. Additivity and harmonization are addressed, and weight-ratio and density-integral approaches are discussed. Subsampling methods on trees to derive unbiased weight estimates are examined, and ratio and difference sampling estimators are considered in detail. Error components for stand biomass estimates are examined. This paper reviews quantitative principles and gives specific examples for prediction of tree biomass. The examples should prove useful for understanding the principles involved and for instructional purposes. For. Sci. 45(4):573-593.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
A General Model for the Origin of Allometric Scaling Laws in Biology
West, G. B., Brown, J. H., & Enquist, B. J. (1997) · Science · doi:10.1126/science.276.5309.122 · Cited by 5,016
Cited by
Modeling Forest Trees and Stands
Burkhart, H. E., & Tomé, M. (2012) · Springer eBooks · doi:10.1007/978-90-481-3170-9 · Cited by 833
Canadian national tree aboveground biomass equations
Lambert, M.-C., Ung, C.-H., & Raulier, F. (2005) · Canadian Journal of Forest Research · doi:10.1139/x05-112 · Cited by 542
Lehtonen, A., Mäkipää, R., Heikkinen, J., Sievänen, R., & Liski, J. (2004) · Forest Ecology and Management · doi:10.1016/j.foreco.2003.07.008 · Cited by 438
Henry, M., Besnard, A., Asante, W. A., Eshun, J., Adu-Bredu, S., Valentini, R., Bernoux, M., & Saint-André, L. (2010) · Forest Ecology and Management · doi:10.1016/j.foreco.2010.07.040 · Cited by 338
Allometric equations for tree species and carbon stocks for forests of northwestern Mexico
Návar, J. (2009) · Forest Ecology and Management · doi:10.1016/j.foreco.2008.09.028 · Cited by 324
Metadata
- Authors
- Parresol, B. R.
- Venue
- Forest Science
- Published
- 1999-11-01
- Volume
- 45
- Issue
- 4
- Pages
- 573-593
- ISSN
- 0015-749X (ISSN-L)
- 1938-3738
- OpenAlex
- W64566671
- Cited by
- 711
- References
- 2
- FWCI
- 5.96
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
