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Long-Term Effects of Annual Burning at Different Dates in Ungrazed Kansas Tallgrass Prairie

Open access
Towne, Gene, Owensby, Clenton·1984·Journal of Range Management

Abstract

Ungrazed tallgrass prairie plots in the Kansas Flint Hills have been burned annually at 4 different dates since 1928. Time of burning markedly altered the physiognomy and was the crucial factor effecting vegetation change. Late-spring burning, coinciding with emergence of the warm-season perennial grasses, increased grass production and favored Andropogon gerardii and Sorghastrum nutans. Burning in winter, early-spring, or mid-spring reduced herbage production and shifted vegetational composition by differentially favoring other species. Andropogon scoparius increased with mid- and early-spring burning, while perennial forbs and sedges increased with early-spring and winter burning. Amorpha canescens was favored by all burning treatments. Mulch buildup in unburned, undisturbed plots increased Poa pratensis and tree species and eventually reduced grass production. The long-term effects of annual late-spring burning, even in dry years, was not detrimental to herbage production, species composition, or total basal cover in tallgrass prairie.

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Metadata

Authors
Towne, G., & Owensby, C.
Venue
Journal of Range Management
Publisher
JSTOR
Published
1984-09
Volume
37
Issue
5
Pages
392
ISSN
0022-409X (ISSN-L)
OpenAlex
W2304311320
Cited by
223
References
0
FWCI
4.15
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Long-Term Effects of Annual Burning at Different Dates in Ungrazed Kansas Tallgrass Prairie. https://app.cochat.ai/papers/10.2307/3899622
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Towne, G., & Owensby, C. (1984). Long-Term Effects of Annual Burning at Different Dates in Ungrazed Kansas Tallgrass Prairie. Journal of Range Management. https://doi.org/10.2307/3899622

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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.