The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Spatial and temporal variability in forest–atmosphere CO2 exchange
Abstract
Seven years of carbon dioxide flux measurements indicate that a ∼90‐year‐old spruce dominated forest in Maine, USA, has been sequestering 174±46 g C m−2 yr−1 (mean±1 standard deviation, nocturnal friction velocity (u*) threshold >0.25 m s−1). An analysis of monthly flux anomalies showed that above‐average spring and fall temperatures were significantly correlated with greater monthly C uptake while above‐average summer temperatures were correlated with decreased net C uptake. Summer months with significantly drier or wetter soils than normal were also characterized by lower rates of C uptake. Years with above‐average C storage were thus typically characterized by warmer than average spring and fall temperatures and adequate summer soil moisture. Environmental and forest–atmosphere flux data recorded from a second tower surrounded by similar forest, but sufficiently distant that flux source regions (‘footprints’), did not overlap significantly showed almost identical temperature and solar radiation conditions, but some differences in energy partitioning could be seen. Half‐hourly as well as integrated (annual) C exchange values recorded at the separate towers were very similar, with average annual net C uptake differing between the two towers by <6%. Interannual variability in net C exchange was found to be much greater than between tower variability. Simultaneous measurements from two towers were used to estimate flux data uncertainty from a single tower. Carbon‐flux model parameters derived independently from each flux tower data set were not significantly different, demonstrating that flux towers can provide a robust method for establishing C exchange model parameters.
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
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
PAST: PALEONTOLOGICAL STATISTICAL SOFTWARE PACKAGE FOR EDUCATION AND DATA ANALYSIS
Hammer, Ø., Harper, D. A. T., & Ryan, P. D. (2001) · Palaeontologia Electronica · Cited by 17,871
Data Reduction and Error Analysis for the Physical Sciences
Bevington, P. R., Robinson, D. K., Blair, J. M., Mallinckrodt, A. J., & McKay, S. (1993) · Computers in Physics · doi:10.1063/1.4823194 · Cited by 14,824
On the Temperature Dependence of Soil Respiration
Lloyd, J., & Taylor, J. A. (1994) · Functional Ecology · doi:10.2307/2389824 · Cited by 4,038
Statistical Analysis in Climate Research
Lund, R. B., von Storch, H., & Zwiers, F. W. (2000) · Journal of the American Statistical Association · doi:10.2307/2669798 · Cited by 2,741
Statistical Analysis in Climate Research
Storch, H. V., & Zwiers, F. W. (1999) · Cambridge University Press eBooks · doi:10.1017/cbo9780511612336 · Cited by 2,717
BALDOCCHI, D. D. (2003) · Global Change Biology · doi:10.1046/j.1365-2486.2003.00629.x · Cited by 2,594
GOULDEN, M. L., MUNGER, J. W., FAN, S., DAUBE, B. C., & WOFSY, S. C. (1996) · Global Change Biology · doi:10.1111/j.1365-2486.1996.tb00070.x · Cited by 1,409
Frequency response corrections for eddy correlation systems
Moore, C. J. (1986) · Boundary-Layer Meteorology · doi:10.1007/bf00122754 · Cited by 1,241
Janssens, I. A., Lankreijer, H., Matteucci, G., Kowalski, A. S., Buchmann, N., Epron, D., Pilegaard, K., Kutsch, W., Longdoz, B., Grünwald, T., et al. (2001) · Global Change Biology · doi:10.1046/j.1365-2486.2001.00412.x · Cited by 987
Cited by
Plumbing the Global Carbon Cycle: Integrating Inland Waters into the Terrestrial Carbon Budget
Cole, J. J., Prairie, Y. T., Caraco, N. F., McDowell, W. H., Tranvik, L. J., Striegl, R. G., Duarte, C. M., Kortelainen, P., Downing, J. A., Middelburg, J. J., et al. (2007) · Ecosystems · doi:10.1007/s10021-006-9013-8 · Cited by 3,941
On the variability of respiration in terrestrial ecosystems: moving beyond Q10
DAVIDSON, E. A., JANSSENS, I. A., & LUO, Y. (2006) · Global Change Biology · doi:10.1111/j.1365-2486.2005.01065.x · Cited by 1,311
Self-citationLASSLOP, G., REICHSTEIN, M., PAPALE, D., RICHARDSON, A. D., ARNETH, A., BARR, A., STOY, P., & WOHLFAHRT, G. (2010) · Global Change Biology · doi:10.1111/j.1365-2486.2009.02041.x · Cited by 1,156
Self-citationBaldocchi, D. (2008) · Australian Journal of Botany · doi:10.1071/bt07151 · Cited by 1,123
CO 2 balance of boreal, temperate, and tropical forests derived from a global database
LUYSSAERT, S., INGLIMA, I., JUNG, M., RICHARDSON, A. D., REICHSTEIN, M., PAPALE, D., PIAO, S. L., SCHULZE, E. ‐., WINGATE, L., MATTEUCCI, G., et al. (2007) · Global Change Biology · doi:10.1111/j.1365-2486.2007.01439.x · Cited by 1,010
Self-citation
Metadata
- Authors
- Hollinger, D. Y., Aber, J., Dail, B., Davidson, E. A., Goltz, S. M., Hughes, H., Leclerc, M. Y., Lee, J. T., Richardson, A. D., Rodrigues, C., Scott, N. A., Achuatavarier, D., & Walsh, J.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2004-09-16
- Volume
- 10
- Issue
- 10
- Pages
- 1689-1706
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2069892911
- Cited by
- 356
- References
- 32
- FWCI
- 22.59
- 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: Spatial and temporal variability in forest–atmosphere CO2 exchange. https://app.cochat.ai/papers/10.1111/j.1365-2486.2004.00847.x
- The paper
- Hollinger, D. Y., Aber, J., Dail, B., Davidson, E. A., Goltz, S. M., Hughes, H., Leclerc, M. Y., Lee, J. T., Richardson, A. D., Rodrigues, C., Scott, N. A., Achuatavarier, D., & Walsh, J. (2004). Spatial and temporal variability in forest–atmosphere CO2 exchange. Global Change Biology. https://doi.org/10.1111/j.1365-2486.2004.00847.x
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.
