Articles | Volume 17, issue 5
Research article
11 Mar 2020
Research article |  | 11 Mar 2020

Comparing stability in random forest models to map Northern Great Plains plant communities in pastures occupied by prairie dogs using Pleiades imagery

Jameson R. Brennan, Patricia S. Johnson, and Niall P. Hanan

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Cited articles

Agnew, W. D., Uresk, W. D., and Hansen, M. R.: Flora and Fauna Associated with Prairie Dog Colonies and Adjacent Ungrazed Mixed-Grass Prairie in Western South Dakota, J. Range Manage., 39, 135–139, 1986. 
Archer, S., Garrett, M. G., and Detling, J. K.: Rates of Vegetation Change Associated with Prairie Dog (Cynomys ludovicianus) Grazing in North American Mixed-Grass Prairie, Vegetatio, 72, 159–166, 1987. 
Augustine, D. J. and Springer, T. L.: Competition and facilitation between a native and a domestic herbivore: trade-offs between forage quantity and quality, Ecol. Appl., 23, 850–863, 2013. 
Barth, C. J., Liebig, M. A., Hendrickson, J. R., Sedivec, K. K., and Halvorson, G.: Soil Change Induced by Prairie Dogs across Three Ecological Sites, Soil Sci. Soc. Am. J., 78, 2054–2060, 2014. 
Belgiu, M. and Drăguţ, L.: Random forest in remote sensing: A review of applications and future directions, ISPRS J. Photogramm., 114, 24–31, 2016. 
Short summary
Prairie dogs have been described as a keystone species and are important for grassland conservation, yet concerns exist over the impact of prairie dogs on livestock production. The aim of this study was to classify plant communities on and off prairie dog towns in South Dakota and determine the utility of using remote sensing to identity prairie dog colony extent. The results show that remote sensing is effective at determining prairie dog colony boundaries.
Final-revised paper