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Cited by 367

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Predicting and managing light in the understory of boreal forests

Lieffers, V.J., Messier, C., Stadt, K.J., Gendron, F., Comeau, P.G.·1999·Canadian Journal of Forest Research

Abstract

This paper reviews current information relating to the dynamics of light in northern and boreal forests and discusses factors affecting overstory light transmission, seasonality of light, sunflecks, canopy gaps, and understory development, particularly with regard to tree regeneration. Techniques for measurement of light in forests such as radiometers, photosensitive paper or chemicals, hemispherical canopy photographs, the plant canopy analyzer, or visual estimators of canopy density are each discussed in terms of their accuracy, costs, ease of use, and conditions required during measurement. Predictive models of light transmission based on canopy architecture are also described in terms of their assumptions, accuracy, and input data costs. Lastly the paper discusses the relationship among overstory and understory densities, ground-level light, and "windows of opportunity" for regeneration of trees in the understory following management interventions.

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Registry

Crossref · 10.1139/cjfr-29-6-796

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Metadata

Authors
Lieffers, V. J., Messier, C., Stadt, K. J., Gendron, F., & Comeau, P. G.
Venue
Canadian Journal of Forest Research
Published
1999
Volume
29
Issue
6
Pages
796-811
ISSN
  • 0045-5067 (ISSN-L)
  • 1208-6037
OpenAlex
W2168866790
Cited by
367
References
60
FWCI
13.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Predicting and managing light in the understory of boreal forests. https://app.cochat.ai/papers/10.1139/cjfr-29-6-796
The paper
Lieffers, V. J., Messier, C., Stadt, K. J., Gendron, F., & Comeau, P. G. (1999). Predicting and managing light in the understory of boreal forests. Canadian Journal of Forest Research. https://doi.org/10.1139/cjfr-29-6-796

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.