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Predicting the Occurrence of Downy Brome (Bromus tectorum) in Central Oregon

Published online by Cambridge University Press:  20 January 2017

Sara C. P. Lovtang*
Affiliation:
United States Department of Agriculture Forest Service, Pacific NW Regional Ecology Program, 63095 Deschutes Mkt Rd, Bend, OR 97702
Gregg M. Riegel
Affiliation:
United States Department of Agriculture Forest Service, Pacific NW Regional Ecology Program, 63095 Deschutes Mkt Rd, Bend, OR 97702
*
Corresponding author's E-mail: [email protected]

Abstract

Where the nonnative annual grass downy brome proliferates, it has changed ecosystem processes, such as nutrient, energy, and water cycles; successional pathways; and fire regimes. The objective of this study was to develop a model that predicts the presence of downy brome in Central Oregon and to test whether high presence correlates with greater cover. Understory data from the U.S. Department of Agriculture (USDA) Forest Service's Current Vegetation Survey (CVS) database for the Deschutes National Forest, the Ochoco National Forest, and the Crooked River National Grassland were compiled, and the presence of downy brome was determined for 1,092 systematically located plots. Logistic regression techniques were used to develop models for predicting downy brome populations. For the landscape including the eastside of the Cascade Mountains to the northwestern edge of the Great Basin, the following were selected as the best predictors of downy brome: low average March precipitation, warm minimum May temperature, few total trees per acre, many western junipers per acre, and a short distance to nearest road. The concordance index = 0.92. Using the equation from logistic regression, a probability for downy brome infestation was calculated for each CVS plot. The plots were assigned to a plant association group (PAG), and the average probability was calculated for the PAGs in which the CVS plots were located. This method could be duplicated in other areas where vegetation inventories take place.

Type
Research
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Allen, C. D. and Breshears, D. D. 1998. Drought-induced shift of a forest-woodland ecotones: rapid landscape response to climate variation. Proc. Natl. Acad. Sci. 95:1483914842.Google Scholar
Anacker, B., Harrison, S. P., Safford, H. D., and Veloz, S. 2010. Predictive Modeling of Cheatgrass Invasion Risk for the Lake Tahoe Basin: Final Project Report to the Tahoe Science Program and the Lake Tahoe Basin Management Unit. Berkeley, CA Pacific Southwest Research Station. 16 p.Google Scholar
Bacon, C. R. and Lanphere, M. A. 2006. Eruptive history and geochronology of Mount Mazama and Crater Lake region, Oregon. Geological Society of America Bulletin, v. 118, no. 11/12, Pp. 13311359.Google Scholar
Bates, J. D., Miller, R. F., and Svejcar, T. 2005. Long-term successional trends following western juniper cutting. Rangeland Ecol. Manag. 58:533541.Google Scholar
Bates, J. D., Svejcar, T., Miller, R. F., and Angell, R. A. 2006. The effects of precipitation timing on sagebrush steppe vegetation. J. Arid Environ. 64:670697.Google Scholar
Billings, W. D. 1994. Ecological impacts of cheatgrass and resultant fire on ecosystems in the western Great Basin. Pages 2230 in, Monsen, S. B., and Kitchen, S. G., comps. 1994. Proceedings of the Ecology and Management of Annual Rangelands Conference. Ogden, UT U.S. Forest Service Intermountain Research Station Gen. Tech. Rep. INT-GTR-313.Google Scholar
Bradford, J. B. and Lauenroth, W. K. 2006. Controls over invasion of Bromus tectorum: the importance of climate, soil, disturbance and seed availability. J. Veg. Sci. 17:693704.Google Scholar
Bradley, B. A. 2009. Regional analysis of the impacts of climate change on cheatgrass invasion show potential risk and opportunity. Glob. Change Biol. 14:113.Google Scholar
Bradley, B. A. and Mustard, J. F. 2005. Identifying land cover variability district from land cover change: cheatgrass in the Great Basin. Remote Sens. Environ. 94:204213.Google Scholar
Brooks, M. L., D'Antonio, C. M., Richardson, D. M., Grace, J. B., Keeley, J. E., DiTomaso, J. M., Hobbs, R. J., Pellant, M., and Pyke, D. 2004. Effects of invasive alien plants of fire regimes. Bioscience 54(7):677688.Google Scholar
Bunting, S. C., Kingery, J. L., Hemstrom, M. A., Schroeder, M. A., Gravenmier, R. A., and Hann, W. J. 2002. Altered Rangeland Ecosystems in the Interior Columbia Basin. Berkeley, CA Pacific Northwest Research Station and Bureau of Land Management Gen. Tech. Rep. PNW-GTR-553.Google Scholar
Burnside, O. C., Wilson, R. G., Weisberg, S., and Hubbard, K. G. 1996. Soil longevity of 41 species buried 17 years in eastern and western Nebraska. Weed Sci. 44:7486.Google Scholar
Chambers, J. C., Roundy, B. A., Blank, R. R., Meyer, S. E., and Whittaker, A. 2007. What makes Great Basin sagebrush ecosystems invasible by Bromus tectorum? Ecol. Monogr. 77(1):117145.Google Scholar
Chepil, W. S. 1946. Germination of weed seeds I.; Longevity, periodicity of germination and vitality of seeds in cultivated soil. Sci. Agric. 26(7):307346.Google Scholar
Chong, G., Otsuki, Y., Stohlgren, T. J., Guenther, D., Evangelista, P., Villa, C., and Waters, A. 2006. Evaluating plant invasions from both habitat and species perspectives. West. N. Am. Nat. 66(1):92105.Google Scholar
Clark, J. 2003. Invasive Plant Prevention Guidelines. Center for Invasive Plant Management, Bozeman, Montana. http://www.weedcenter.org.Google Scholar
Cochran, P. H., Boersma, L., and Youngberg, C. T. 1967. Thermal properties of a pumice soil. Soil Sci. Soc. Am. Proc. 31:454459.Google Scholar
Coultrap, D. E., Fulgham, K. O., Lancaster, D. L., Gustafson, J., Lile, D. F., and George, M. E. 2008. Relationships between western juniper (Juniperus occidentalis) and understory vegetation. Invasive Plant Sci. Manag. 1:311.Google Scholar
Cox, R. D. and Anderson, V. J. 2004. Increasing native diversity of cheatgrass-dominated rangeland through assisted succession. Rangeland Ecol. Manag. 57(2):203210.Google Scholar
D'Antonio, C. M. and Vitousek, P. M. 1992. Biological invasions by exotic grasses, the grass/fire cycle, and global change. Annu. Rev. Ecol. Syst. 23:6387.Google Scholar
Evangelista, P. H., Kumar, S., Stohlgren, T. J., Jarnevich, C. S., Crall, A. W., Norman, J. B. III, and Barnett, D. T. 2008. Modelling invasion for a habitat generalist and a specialist plant species. Divers. Distrib. 14:808817.Google Scholar
Geist, J. M. and Cochran, P. H. 1990. Influences of volcanic ash and pumice deposition on productivity of western interior forest soils. Pages 8288 in Proceedings of the Symposium on Management and Productivity of Western-Montane Forest Soils. Washington, DC U.S. Forest Service.Google Scholar
Getz, H. L. and Baker, W. L. 2008. Initial invasion of cheatgrass Bromus tectorum into burned piñon-juniper woodlands in western Colorado. Am. Midl. Nat. 159:489497.Google Scholar
Harris, G. A. 1967. Some Competitive Relationships between Agropyron spicatum and Bromus tectorum . Ecol. Monogr. 37(2):89111.Google Scholar
Hole, F. D. 1978. An approach to landscape analysis with emphasis on soils. Geoderma 21:123.Google Scholar
Hulbert, L. C. 1955. Ecological studies of Bromus tectorum and other annual bromegrasses. Ecol. Monogr. 25:181213.Google Scholar
Humphrey, L. D. and Schupp, E. W. 2004. Competition as a barrier to establishment of a native perennial grass Elymus elymoides in alien annual grass Bromus tectorum communities. J. Arid Environ. 58:405422.Google Scholar
Johnson, M. 1997. Region 6 Inventory and Monitoring System Field Procedures for the Current Vegetation Survey, version 2.01. Pacific NW Region, USDA Forest Service. http://www.fs.fed.us/r6/survey/document.Google Scholar
Keeley, J. E. and McGinnis, T. W. 2007. Impact of prescribed fire and other factors on cheatgrass persistence in a Sierra Nevada ponderosa pine forest. Int. J. Wildland Fire 16:96106.Google Scholar
Kerns, B. K., Thies, W. G., and Niwa, C. G. 2006. Season and severity of prescribed burn in ponderosa pine forests: implications for understory native and exotic plants. Ecoscience 13(1):4455.Google Scholar
Kyle, G. P., Beard, K. H., and Kulmatiski, A. 2007. Reduced soil compaction enhances establishment of non-native plant species. Plant Ecol. 193:223232.Google Scholar
Max, T. A., Schreuder, H. T., Hazard, J. W., Oswald, D. D., Teply, J., and Alegria, J. 1996. The Pacific Northwest region vegetation and inventory monitoring system. Portland, OR Pacific Northwest Research Station PNW-RP-493.Google Scholar
McGlone, C. M., Springer, J. D., and Covington, W. W. 2009. Cheatgrass encroachment on a ponderosa pine forest ecological restoration project in northern Arizona. Ecol. Restor. 27(1):3746.Google Scholar
Melgoza, G. R., Nowak, S., and Tausch, R. J. 1990. Soil water exploitation after fire: competition between Bromus tectorum (cheatgrass) and two native species. Oecologia 83:713.Google Scholar
Novak, S. J. and Mack, R. N. 2001. Tracing plant introduction and spread: genetic evidence from Bromus tectorum (cheatgrass). Bioscience 51:114122.Google Scholar
Pew Center. 2010. Climate Change Adaptation: What Federal Agencies Are Doing. http://www.pewclimate.org/publications/report/climate-change-adaptation-what-federal-agencies-are-doing.Google Scholar
Pierson, E. A. and Mack, R. N. 1990. The population biology of Bromus tectorum in forests: distinguishing the opportunity for dispersal from environmental restriction. Oecologia 84:519525.Google Scholar
Pierson, E. A., Mack, R. N., and Black, R. A. 1990. The effect of shading on photosynthesis, growth, and regrowth following defoliation for Bromus tectorum . Oecologia 84:534543.Google Scholar
Rice, K. J. and Dyer, A. R. 2001. Seed aging, delayed germination and reduced competitive ability in Bromus tectorum . Plant Ecol. 155:237243.Google Scholar
SAS Institute Inc. 2007. SAS OnlineDoc 9.2. Cary, NC SAS Institute.Google Scholar
Sheley, R. L. and Larsen, L. L. 1994. Observation: comparative life-history of cheatgrass and yellow star thistle. J. Range Manage. 47:450456.Google Scholar
Simpson, M. 2007. Forest Plant Associations of the Oregon East Cascades. Berkeley, CA USDA Forest Service, Pacific Northwest Region Tech Pap R6-NR-ECOL-TP-03-2007.Google Scholar
Smith, S. D., Strain, B. R., and Sharkey, T. D. 1987. Effects of CO2 enrichment on four great basin grasses. Funct. Ecol. 1(2):139143.Google Scholar
The Climate Source, Inc. 2010. Custom Data Sets & Maps. http://www.climatesource.com.Google Scholar
Thill, D. C., Schirman, R. D., and Appleby, A. P. 1979. Influence of soil moisture, temperature, and compaction of the germination of downy brome. Weed Sci. 27:625630.Google Scholar
van Mantgem, P. J. and Stephenson, N. L. 2007. Apparent climatically induced increase of tree mortality rates in a temperate forest. Ecol. Lett. 10:909916.Google Scholar
Walther, G. R., Post, E., Convey, P., Menzel, A., Parmesan, C., Beebee, T. J. C., Fromentin, J. M., Hoegh-Guldberg, O., and Bairlein, F. 2002. Ecological response to recent climate change. Nature 416:389395.Google Scholar
Whisenant, S. 1990. Changing fire frequencies on Idaho's Snake River plains: ecological and management implications. Pages 410 in Proceedings of the Symposium on cheatgrass invasion, shrub die-off, and other aspects of shrub biology and management. Ogden, UT USDA Forest Service, Intermountain Research Station GTR-INT-276.Google Scholar
Ziska, L. H., Reeves, J. B. III, and Blank, B. 2005. The impact of recent increases in atmospheric CO2 on biomass production and vegetative retention of cheatgrass (Bromus tectorum): implications for fire disturbance. Global Change Biol. 11:13251332.Google Scholar