The DOI matches its Crossref record.
Taiga Ecosystems in Interior Alaska
Abstract
For several years the University of Alaska and the Institute of Northern Forestry (USDA Forest Service) have conducted a multidisciplinary study of interior-Alaska forest ecosystems, especially the black spruce type. Black spruce forests are widespread in interior Alaska and are the most fire-prone forest type. They are also the most nutrient-limited and least productive forest type, especially in the late stages of succession. Ecosystem differences in productivity and degree of nutrient limitation are controlled mainly by soil and forest-floor temperatures.
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Citations
Cited by
Detritus Accumulation Limits Productivity of Tallgrass Prairie
Knapp, A. K., & Seastedt, T. R. (1986) · BioScience · doi:10.2307/1310387 · Cited by 699
The Role of Bryophytes in Carbon and Nitrogen Cycling
Turetsky, M. R. (2003) · The Bryologist · doi:10.1639/05 · Cited by 561
Dale Guthrie, R. (2001) · Quaternary Science Reviews · doi:10.1016/s0277-3791(00)00099-8 · Cited by 345
Calef, M. P., McGuire, A. D., & Chapin, F. S. (2008) · Earth Interactions · doi:10.1175/2007ei220.1 · Cited by 72
Self-citation
Metadata
- Authors
- van Cleve, K., Dyrness, C. T., Viereck, L. A., Fox, J., Chapin, & Oechel, W.
- Venue
- BioScience
- Publisher
- Oxford University Press (OUP)
- Published
- 1983-01
- Volume
- 33
- Issue
- 1
- Pages
- 39-44
- ISSN
- 0006-3568 (ISSN-L)
- 1525-3244
- OpenAlex
- W1988523788
- Cited by
- 225
- References
- 0
- FWCI
- 7.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Taiga Ecosystems in Interior Alaska. https://app.cochat.ai/papers/10.2307/1309243
- The paper
- van Cleve, K., Dyrness, C. T., Viereck, L. A., Fox, J., Chapin, & Oechel, W. (1983). Taiga Ecosystems in Interior Alaska. BioScience. https://doi.org/10.2307/1309243
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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.
