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Modeling the Impact of Exotic Annual Brome Grasses on soil Organic Carbon Storage in a Northern Mixed-Grass Prairie

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Abstract

Annual brome grasses, Bromus japonicus and B. tectorum, are common invaders of northern mixed-grass prairie, and have been shown to alter the structure and function of prairie ecosystems, including plant biomass production and litter decomposition. To build on previous findings, our objective was to model the impact of annual brome grasses on soil organic carbon storage as a step towards forecasting ecological change. Specifically, we measured differences in carbon storage between patches dominated by annual bromes and perennial grasses, in addition to evaluating key plant functional characteristics that impact carbon storage. Using the CENTURY model, we simulated high- and low-brome vegetation based on differences in functional characteristics, allowing us to extrapolate the findings from the field study across a broader time scale. We sampled a prairie site in 1996 and 1997 to quantify differences between the high- and low-brome cover plots. High-brome plots averaged 40% brome cover, while the low-brome plots averaged 1% brome cover. We found differences in functional attributes for growth characteristics and litter quality, as well as minor differences in edaphic variables between the plots. Based on field measurements, more soil organic carbon was stored under high-brome vegetation than low-brome, but the differences were not statistically significant. Results from model simulations were consistent with field measurements, and suggested that this prairie ecosystem was not significantly impacted by the functional differences between high- and low-brome vegetation for the first 50 years after the brome invasion under historical management and climate. However, the model results also showed that the differences in soil organic carbon storage continue to diverge after 50 years and consequently could be significant in the future.

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References

  • Abshapanek D (1962) Phenology of a native tall-grass prairie in central Oklahoma.Ecology 43: 135–138

    Google Scholar 

  • Albertson FW and Weaver JE (1944) Nature and degree of recovery of grassland from the great drought of 1933–1940. Ecological Monographs 14: 393–479

    Google Scholar 

  • Bauer A and Black AL (1994) Quantication of the effect of soil organic matter content on soil productivity. Soil Science Society of America Journal 58: 185–193

    Google Scholar 

  • Brown PM and Sieg CH (1996) Fire history in the interior ponderosa pine communities of the Black Hills, South Dakota, USA. International Journal of Wildland Fire 6: 97–105

    Google Scholar 

  • Burke C, Yonker CM, Parton WJ, Cole CV, Flach K and Schimel DS (1989) Texture, climate, and cultivation effects on soil organic matter content in US grassland soils. Soil Science Society of America Journal 53: 800–805

    Google Scholar 

  • Christian JM and Wilson SD (1999) Long-term ecosystem impacts of an introduced grass in the Northern Great Plains. Ecology 80: 2397–2407

    Google Scholar 

  • Christie EK and Detling JK (1982) Analysis of interference between C3 and C4 grasses in relation to temperature and soil nitrogen supply. Ecology 63: 1277–1284

    Google Scholar 

  • Clark JS, Carpenter SR, Barber M, Collins S, Dobson A, Foley JA, Lodge DM, Pascual M, Pielke Jr R, Pringle C, Reid WV, Rose KA, Sala O, Schlesinger WH, Wall DH and Wear D (2001) Ecological forecasts: and emerging imperative. Science 293: 657–660

    Google Scholar 

  • Daly C, Bachelet D, Lenihan JM, Neilson RP, Parton W and Ojima D (2000) Dynamic simulation of tree-grass interactions for global change studies.Ecological Applications 10: 449–469

    Google Scholar 

  • D' Antonio C and Vitousek PM (1992) Biological invasions by exotic grasses, the grass/re cycle, and global change.Annual Review of Ecology and Systematics 23: 63–87

  • Daubenmire R (1959)A canopy-coverage method of vegetational analysis.Northwest Science 33: 43–64

    Google Scholar 

  • Ehleringer J (1978) Implications of quantum yield differences on the distributions of C3 and C4 grasses.Oecologia 31: 255–267

    Google Scholar 

  • Ehleringer J and Bjo ¨rkman O (1977) Quantum yields for CO2 uptake in C3 and C4 plants: dependence on temperature, CO2,and O2 concentration. Plant Physiology 59: 86–90

    Google Scholar 

  • Finnerty DW and Klingman DL (1962) Life cycles and control studies of some weed bromegrasses. Weeds 10: 40–47

    Google Scholar 

  • Gee GW and Bauder JW (1986) Pipet method. In: Klute A (ed) Methods of Soil Analysis, Part I: Physical and Mineralogical Methods,Vol 9,pp 399–403. American Society of Agronomy, Soil Science Society of America, Madison, Wisconsin

    Google Scholar 

  • Goering HK and Van Soest PJ (1970) Forage ber analysis. In: Agriculture Handbook 379,pp 1–20.United States Department of Agriculture, Washington, DC

    Google Scholar 

  • Hedges JI and Stern JH (1984) Carbon and nitrogen determinations of carbonate-containing solids.Limnology and Oceanography 29: 657–663

    Google Scholar 

  • Heitschmidt RK, Grings EE, Haferkamp MR and Karl MG (1995)Herbage dynamics on 2 Northern Great Plains range sites.Journal of Range Management 48: 211–217

    Google Scholar 

  • Hobbie SE (1992) Effects of plant species on nutrient cycling. Trends in Ecology and Evolution 7: 336–339

    Google Scholar 

  • Holling CS (1992) Cross-scale morphology, geometry, and dynamics of ecosystems.Ecological Monographs 62: 447–502

    Google Scholar 

  • Hulbert LC (1955) Ecological studies of Bromus tectorum and other annual bromegrasses.Ecological Monographs 25: 181–213

    Google Scholar 

  • Jackson RB, Schenk HJ, Jobba'gy EG, Canadell J, Colello GD, Dickinson RE, Field CB, Friedlingstein P, Heimann, M, Hibbard K, Kicklighter DW, Kleidon A, Neilson RP, Parton WJ, Sala OE and Sykes MT (2000) Belowground consequences of vegetation change and their treatment in models.Ecological Applications 10: 470–483

    Google Scholar 

  • Karl MG, Heitschmidt RK and Haferkamp MR (1999) Vegetation biomass dynamics and patterns of sexual reproduction in a Northern Mixed-Grass Prairie.American Midland Naturalist 141: 227–237

    Google Scholar 

  • Lauenroth WK and Whitman WC (1971)A rapid method for washing roots.Journal of Range Management 24: 308–309

    Google Scholar 

  • Matson P (1990) Plant-soil interactions in primary succession at Hawaii Volcanoes National Park.Oecologia 85: 241–246

    Google Scholar 

  • Melillo JM, Aber JD, Linkins AE, Ricca A, Fry B and Nadelho.er KJ (1989) Carbon and nitrogen dynamics along the decay continuum: plant litter to soil organic matter. Plant and Soil 115: 189–198

    Google Scholar 

  • Metherell AK, Harding LA, Cole CV and Parton WJ (1993) CENTURY soil organic matter model environment. GPSR Technical Report No.i4, United States Department of Agriculture, Fort Collins, Colorado

    Google Scholar 

  • Nichols JD (1984) Relation fo organic carbon to soil properties and climate in the southern Great Plains. Soil Science Society of America Journal 48: 1382–1384

    Google Scholar 

  • NOAA (1897-1998) Climatological data annual summary: South Dakota. National Oceanic and Atmospheric Administration, United States Department of Commerce

  • Ogle SM and Reiners WA (2002) A phytosocological study of exotic annual brome grasses in a mixed-grass prairie/pon-derosa pine forest ecotone.American Midland Naturalist 147: 25–31

    Google Scholar 

  • Ogle SM, Reiners WA and Gerow KG (2003) Impacts of exotic annual brome grasses on ecosystem properties of Northern Mixed Grass Prairie.American Midland Naturalist 149: 46–58

    Google Scholar 

  • Parton WJ, Schimel DS, Cole CV and Ojima DS (1987) Analysis of factors controlling soil organic matter levels in Great Plains grasslands.Soil Science Society of America Journal 51: 1173–1179

    Google Scholar 

  • Parton WJ, Stewart JWB and Cole CV (1988)Dynamics of C, N, P, and S in grassland soils: a model. Biogeochemistry 5: 109–131

    Google Scholar 

  • Parton WJ, Scurlock JMO, Ojima DS, Gilmanov TG, Scholes RJ, Schimel DS, Kirchner T, Menaut J-C, Seastedt T, Garcia Moya E, Kamnalrut A and Kinyamario JI (1993) Observations and modeling of biomass and soil organic matter dynamics for the grassland biome worldwide.Global Biogeochemical Cycles 7: 785–809

    Google Scholar 

  • Parton WJ, Ojima DS, Cole CV and Schimel DS (1994) A general model for soil organic matter dynamics:sensitivity to litter chemistry,texture, and management. In: Bryant RB and Arnold RW (eds) Quantitative Modeling of Soil Forming Processes, 147–167.SSSA Special Publication 39, Soil Science Society of America, Madison,Wisconsin

    Google Scholar 

  • Trumbore S (2000) Age of soil organic matter and soil respiration: radiocarbon constraints on belowground C dynamics.Ecological Applications 10: 399–411

    Google Scholar 

  • Unbanhowar CE (1996) Recent pre history of the Northern Great Plains.American Midland Naturalist 135: 115–121

    Google Scholar 

  • Van Soest PJ (1963) Use of detergents in the analysis of brous feeds. A rapid method for the determination of fiber and lignin.Journal of the Association of Official Analytical Chemistry 49: 546–551

    Google Scholar 

  • Van Veen JA and Paul EA (1981) Organic carbon dynamics in grassland soils. I. Background information and computer simulation. Canadian Journal of Soil Science 61: 185–201

    Google Scholar 

  • VEMAP (1995) Vegetation/ecosystem modeling and analysis project: comparing biogeography and biogeochemistry models in a continental-scale study of terrestrial ecosystem responses to climate change and CO2 doubling. Global Biogeochemical Cycles 9: 407–437

    Google Scholar 

  • Vinton MA and Burke IC (1997) Contingent effects of plant species on soils along a regional moisture gradient in the Great Plains.Oecologia 110: 393–402

    Google Scholar 

  • Vitousek PM (1986)Biological invasions and ecosystem properties: can species make a difference? In: Mooney HA and Drake JA (eds) Ecology of Biological Invasions of North America and Hawaii, 163–176. Springer-Verlag, New York

    Google Scholar 

  • Vitousek PM, Walker LR, Whiteaker LD, Mueller-Dombois D and Matson PA (1987) Biological invasion of Myricafaya alters ecosystem development in Hawaii.Science 238: 802–804

    Google Scholar 

  • Wedin DA and Pastor J (1993) Nitrogen mineralization dynamics in grass monocultures. Oecologia 96: 186–192

    Google Scholar 

  • Wedin DA and Tilman D (1990) Species effects on nitrogen cycling: a test with perennial grasses.Oecologia 84: 433–441

    Google Scholar 

  • Whisenant SG (1990)Post re population dynamics of Bromus japonicus.American Midland Naturalist 123: 301–308

    Google Scholar 

  • Wright HA and Bailey AW (1982) Fire ecology: United States and southern Canada. John Wiley and Sons, New York, 501 pp

    Google Scholar 

Download references

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Correspondence to Stephen M. Ogle.

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Ogle, S.M., Ojima, D. & Reiners, W.A. Modeling the Impact of Exotic Annual Brome Grasses on soil Organic Carbon Storage in a Northern Mixed-Grass Prairie. Biological Invasions 6, 365–377 (2004). https://doi.org/10.1023/B:BINV.0000034629.68660.28

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  • DOI: https://doi.org/10.1023/B:BINV.0000034629.68660.28

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