The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Carbon dynamics of Oregon and Northern California forests and potential land‐based carbon storage
Abstract
Net uptake of carbon from the atmosphere (net ecosystem production, NEP) is dependent on climate, disturbance history, management practices, forest age, and forest type. To improve understanding of the influence of these factors on forest carbon stocks and flux in the western United States, federal inventory data and supplemental field measurements at additional plots were used to estimate several important components of the carbon balance in forests in Oregon and Northern California during the 1990s. Species‐ and ecoregion‐specific allometric equations were used to estimate live and dead biomass stores, net primary productivity (NPP), and mortality. In the semiarid East Cascades and mesic Coast Range, mean total biomass was 8 and 24 kg C/m 2, and mean NPP was 0.30 and 0.78 kg C·m−2·yr−1, respectively. Maximum NPP and dead biomass stores were most influenced by climate, whereas maximum live biomass stores and mortality were most influenced by forest type. Within ecoregions, mean live and dead biomass were usually higher on public lands, primarily because of the younger age class distribution on private lands. Decrease in NPP with age was not general across ecoregions, with no marked decline in old stands (>200 years old) in some ecoregions. In the absence of stand‐replacing disturbance, total landscape carbon stocks could theoretically increase from 3.2 ± 0.34 Pg C to 5.9 ± 1.34 Pg C (a 46% increase) if forests were managed for maximum carbon storage. Although the theoretical limit is probably unattainable, given the timber‐based economy and fire regimes in some ecoregions, there is still potential to significantly increase the land‐based carbon storage by increasing rotation age and reducing harvest rates.
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
Canadell, J. G., Le Quéré, C., Raupach, M. R., Field, C. B., Buitenhuis, E. T., Ciais, P., Conway, T. J., Gillett, N. P., Houghton, R. A., & Marland, G. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0702737104 · Cited by 2,136
A 70-year retrospective analysis of carbon fluxes in the Canadian forest sector
Kurz, W. A., & Apps, M. J. (1999) · Ecological Applications · doi:10.1890/1051-0761(1999)009[0526:ayraoc]2.0.co;2 · Cited by 680
Cited by
Natural disturbance impacts on ecosystem services and biodiversity in temperate and boreal forests
Thom, D., & Seidl, R. (2016) · Biological Reviews · doi:10.1111/brv.12193 · Cited by 770
Adapting western North American forests to climate change and wildfires: 10 common questions
Prichard, S. J., Hessburg, P. F., Hagmann, R. K., Povak, N. A., Dobrowski, S. Z., Hurteau, M. D., Kane, V. R., Keane, R. E., Kobziar, L. N., Kolden, C. A., et al. (2021) · Ecological Applications · doi:10.1002/eap.2433 · Cited by 336
Schulze, E., Körner, C., Law, B. E., Haberl, H., & Luyssaert, S. (2012) · GCB Bioenergy · doi:10.1111/j.1757-1707.2012.01169.x · Cited by 313
Self-citationLand use strategies to mitigate climate change in carbon dense temperate forests
Law, B. E., Hudiburg, T. W., Berner, L. T., Kent, J. J., Buotte, P. C., & Harmon, M. E. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1720064115 · Cited by 252
Self-citationMeeting GHG reduction targets requires accounting for all forest sector emissions
Hudiburg, T. W., Law, B. E., Moomaw, W. R., Harmon, M. E., & Stenzel, J. E. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab28bb · Cited by 78
Self-citation
Metadata
- Authors
- Hudiburg, T., Law, B., Turner, D. P., Campbell, J., Donato, D., & Duane, M.
- Venue
- Ecological Applications
- Publisher
- Wiley
- Published
- 2009-01
- Volume
- 19
- Issue
- 1
- Pages
- 163-180
- ISSN
- 1051-0761 (ISSN-L)
- 1939-5582
- OpenAlex
- W2135618226
- Cited by
- 242
- References
- 2
- FWCI
- 19.50
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Carbon dynamics of Oregon and Northern California forests and potential land‐based carbon storage. https://app.cochat.ai/papers/10.1890/07-2006.1
- The paper
- Hudiburg, T., Law, B., Turner, D. P., Campbell, J., Donato, D., & Duane, M. (2009). Carbon dynamics of Oregon and Northern California forests and potential land‐based carbon storage. Ecological Applications. https://doi.org/10.1890/07-2006.1
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.