The DOI matches its Crossref record.
Physiology and genetics of tree growth response to moisture and temperature stress: an examination of the characteristics of loblolly pine (Pinus taeda L.)
Abstract
Water stress and temperature impose fundamental limits to forest productivity. Stresses caused by fluctuating or extreme temperatures or limited water availability vary both seasonally and from year to year. The role of these stresses should be considered when investigating the causes of declines in forest productivity. Forest growth, or carbon gain, can be related quantitatively to three components: leaf area, rate of net photosynthesis and rate of respiration. This paper examines effects of temperature and water supply on these components with particular reference to loblolly pine (Pinus taeda L.), a species of economic importance in the southeastern United States where declines, of unknown cause, in forest productivity have been reported.
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
Cited by
Albaugh, T. J., Allen, H. L., Dougherty, P. M., Kress, L. W., & King, J. S. (1998) · Forest Science · doi:10.1093/forestscience/44.2.317 · Cited by 464
Self-citationElevated CO2and plant structure: a review
Pritchard, S. G., Rogers, H. H., Prior, S. A., & Peterson, C. M. (1999) · Global Change Biology · doi:10.1046/j.1365-2486.1999.00268.x · Cited by 462
Metadata
- Authors
- Teskey, R. O., Bongarten, B. C., Cregg, B. M., Dougherty, P. M., & Hennessey, T. C.
- Venue
- Tree Physiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1987-03-01
- Volume
- 3
- Issue
- 1
- Pages
- 41-61
- ISSN
- 0829-318X (ISSN-L)
- 1758-4469
- OpenAlex
- W2115451065
- Cited by
- 178
- References
- 0
- FWCI
- 4.26
- 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: Physiology and genetics of tree growth response to moisture and temperature stress: an examination of the characteristics of loblolly pine (Pinus taeda L.). https://app.cochat.ai/papers/10.1093/treephys/3.1.41
- The paper
- Teskey, R. O., Bongarten, B. C., Cregg, B. M., Dougherty, P. M., & Hennessey, T. C. (1987). Physiology and genetics of tree growth response to moisture and temperature stress: an examination of the characteristics of loblolly pine (Pinus taeda L.). Tree Physiology. https://doi.org/10.1093/treephys/3.1.41
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.
