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Fire, livestock grazing, topography, and precipitation affect occurrence and prevalence of cheatgrass (Bromus tectorum) in the central Great Basin, USA

Abstract

Cheatgrass (Bromus tectorum) has increased the extent and frequency of fire and negatively affected native plant and animal species across the Intermountain West (USA). However, the strengths of association between cheatgrass occurrence or abundance and fire, livestock grazing, and precipitation are not well understood. We used 14 years of data from 417 sites across 10,000 km2 in the central Great Basin to assess the effects of the foregoing predictors on cheatgrass occurrence and prevalence (i.e., given occurrence, the proportion of measurements in which the species was detected). We implemented hierarchical Bayesian models and considered covariates for which > 0.90 or < 0.10 of the posterior predictive mass for the regression coefficient ≥ 0 as strongly associated with the response variable. Similar to previous research, our models indicated that fire is a strong, positive predictor of cheatgrass occurrence and prevalence. Models fitted to all sample points and to only unburned points indicated that grazing and the proportion of years grazed were strong positive predictors of occurrence and prevalence. In contrast, in models restricted to burned points, prevalence was high, but decreased slightly as the proportion of years grazed increased (relative to other burned points). Prevalence of cheatgrass also decreased as the prevalence of perennial grasses increased. Cheatgrass occurrence decreased as elevation increased, but prevalence within the elevational range of cheatgrass increased as median winter precipitation, elevation, and solar exposure increased. Our novel time-series data and results indicate that grazing corresponds with increased cheatgrass occurrence and prevalence regardless of variation in climate, topography, or community composition, and provide no support for the notion that contemporary grazing regimes or grazing in conjunction with fire can suppress cheatgrass.

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References

  1. Adler PB, Milchunas DG, Sala OE, Burke IC, Lauenroth WK (2005) Plant traits and ecosystem grazing effects: comparison of U.S. sagebrush steppe and Patagonian steppe. Ecol Appl 15:774–792

    Article  Google Scholar 

  2. Balch JK, Bradley BA, D’Antonio CM, Gomez-Dans J (2013) Introduced annual grass increases regional fire activity across the arid western USA (1980–2009). Global Change Biol 19:173–183

    Article  Google Scholar 

  3. Banks ER, Baker WL (2011) Scale and pattern of cheatgrass (Bromus tectorum) invasion in Rocky Mountain National Park. Nat Area J 31:377–390

    Article  Google Scholar 

  4. Blackard JA, Dean DJ (1999) Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables. Comput Electron Agric 24:131–151

    Article  Google Scholar 

  5. Bradley BA, Mustard JF (2006) Characterizing the landscape dynamics of an invasive plant and risk of invasion using remote sensing. Ecol Appl 16:1132–1147

    Article  PubMed  PubMed Central  Google Scholar 

  6. Bradley BA, Curtis CA, Chambers JC (2016) Bromus response to climate and projected changes with climate change. In: Germino MJ, Chambers JC, Brown CS (eds) Exotic brome-grasses in arid and semiarid ecosystems of the western US. Springer, Zürich, pp 257–274

    Chapter  Google Scholar 

  7. Bradley BA, Curtis CA, Fusco EJ, Abatzoglou JT, Balch JK, Dadashi S, Tuanmu MN (2018) Cheatgrass (Bromus tectorum) distribution in the Intermountain Western United States and its relationship to fire frequency, seasonality, and ignitions. Biol Invasions 20:1493–1506

    Article  Google Scholar 

  8. Brooks ML, D’Antonio CM, Richardson DM, Grace JB, Keeley JE, DiTomaso JM et al (2004) Effects of invasive alien plants on fire regimes. Bioscience 54:677–688

    Article  Google Scholar 

  9. Brooks ML, Brown CS, Chambers JC, D’Antonio CM, Keeley JE, Belnap J (2016) Exotic annual Bromus invasions: comparisons among species and ecoregions in the western United States. In: Germino MJ, Chambers JC, Brown CS (eds) Exotic brome-grasses in arid and semiarid ecosystems of the western US. Springer, Zürich, pp 11–60

    Chapter  Google Scholar 

  10. Brummer TJ, Taylor KT, Rotella JJ, Maxwell BD, Rew LJ, Lavin M (2016) Drivers of Bromus tectorum abundance in the western North American sagebrush steppe. Ecosystems 19:986–1000

    Article  Google Scholar 

  11. Chambers JC, Roundy BA, Blank RR, Meyer SE, Whittaker A (2007) What makes Great Basin sagebrush ecosystems invasible by Bromus tectorum? Ecol Monogr 77:117–145

    Article  Google Scholar 

  12. Chambers JC, Board D, Dhaemers J, Reiner A (2010) Vegetation response to prescribed fire in the Shoshone mountains of Nevada. Forest Service Research Data Archive, Fort Collins, Colorado. https://doi.org/10.2737/RDS-2010-0016

  13. Chambers JC, Miller RF, Board DI, Grace JB, Pyke DA, Roundy BA, Schupp EW, Tausch RJ (2014) Resilience and resistance of sagebrush ecosystems: implications for state and transition models and management treatments. Rangel Ecol Manag 67:440–454

    Article  Google Scholar 

  14. Chambers JC, Germino MJ, Belnap J, Brown CS, Schupp EW, St. Clair SB (2016) Plant community resistance to invasion by Bromus species: the roles of community attributes, Bromus interactions with plant communities, and Bromus traits. In: Germino MJ, Chambers JC, Brown CS (eds) Exotic brome-grasses in arid and semiarid ecosystems of the western US. Springer, Zurich, pp 275–306

    Chapter  Google Scholar 

  15. Chambers JC, Maestas JD, Pyke DA, Boyd C, Pellant M, Wuenschel A (2017) Using resilience and resistance concepts to manage persistent threats to sagebrush ecosystems and Greater sage-grouse. Rangel Ecol Manag 70:149–164

    Article  Google Scholar 

  16. Compagnoni A, Adler PB (2014) Warming, competition, and Bromus tectorum population growth across an elevation gradient. Ecosphere 5(9):121. https://doi.org/10.1890/ES14-00047.1

    Article  Google Scholar 

  17. D’Antonio CM, Vitousek PM (1992) Biological invasions by exotic grasses, the grass/fire cycle, and global change. Annu Rev Ecol Syst 23:63–87

    Article  Google Scholar 

  18. Davies KW (2008) Medusahead dispersal and establishment in sagebrush steppe plant communities. Rangel Ecol Manag 61:110–115

    Article  Google Scholar 

  19. Davies KW, Bates JD, Svejcar TJ, Boyd CS (2010) Effects of long-term livestock grazing on fuel characteristics in rangelands: an example from the sagebrush steppe. Rangel Ecol Manag 63:662–669

    Article  Google Scholar 

  20. Davies GM, Bakker JD, Dettweiler-Robinson E, Dunwiddie P, Hall SA, Downs J, Evans J (2012) Trajectories of change in sagebrush-steppe vegetation communities in relation to multiple wildfires. Ecol Appl 22:1562–1577

    Article  CAS  PubMed  Google Scholar 

  21. Dettinger MD, Ralph FM, Das T, Neiman PJ, Cayan DR (2011) Atmospheric rivers, floods and the water resources of California. Water 3:445–478

    Article  Google Scholar 

  22. Fleishman E (2015) Vegetation structure and composition in the Shoshone Mountains and Toiyabe, Toquima, and Monitor ranges, Nevada, 2nd edn. Forest Service Research Data Archive, Fort Collins. https://doi.org/10.2737/RDS-2013-0007-2

    Book  Google Scholar 

  23. Freeman ED, Sharp TR, Larsen RT, Knight RN, Slater SJ, McMillan BR (2014) Negative effects of an exotic grass invasion on small-mammal communities. PLoS ONE 9(9):e108843. https://doi.org/10.1371/journal.pone.0108843

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. Garton EO, Connelly JW, Horne JS, Hagen CA, Moser A, Schroeder MA (2011) Greater Sage-Grouse population dynamics and probability of persistence. In: Knick ST, Connelly JW (eds) Greater Sage-Grouse: ecology and conservation of a landscape species and its habitats. Studies in Avian Biology, vol 38. University of California Press, Berkeley, pp 293–381

    Google Scholar 

  25. Gelbard JL, Belnap J (2003) Roads as conduits for exotic plant invasions in a semiarid landscape. Conserv Biol 17:420–432

    Article  Google Scholar 

  26. Gelman A, Carlin JB, Stern HS, Dunson DB, Vehtari A, Rubin DB (2013) Bayesian data analysis, 3rd edn. CRC Press, Boca Raton

    Google Scholar 

  27. Germino MJ, Belnap J, Stark JM, Allen EB, Rau BM (2016) Ecosystem impacts of exotic annual invaders in the genus Bromus. In: Germino MJ, Chambers JC, Brown CS (eds) Exotic brome-grasses in arid and semiarid ecosystems of the western US. Springer, New York, pp 11–60

    Chapter  Google Scholar 

  28. Gershunov A et al (2013) Future climate: projected extremes. In: Garfin G, Jardine A, Merideth R, Black M, LeRoy S (eds) Assessment of climate change in the southwest United States: a report prepared for the National Climate Assessment. Island Press, Washington, DC, pp 126–147

    Chapter  Google Scholar 

  29. Jeffreys H (1961) Theory of probability, 3rd edn. Clarendon Press, Oxford

    Google Scholar 

  30. Jones RO, Chambers JC, Board DI, Johnson DW, Blank RR (2015) The role of resource limitation in restoration of sagebrush ecosystems dominated by cheatgrass (Bromus tectorum). Ecosphere 6(7):107. https://doi.org/10.1890/ES14-00285.1

    Article  Google Scholar 

  31. Knapp PA (1998) Spatio-temporal patterns of large grassland fires in the Intermountain West, USA. Global Ecol Biogeogr 7:259–272

    Article  Google Scholar 

  32. Kunkel KE, Karl TR, Easterling DR, Redmond K, Young J, Yin X, Hennon P (2013) Probable maximum precipitation and climate change. Geophys Res Lett 40:1402–1408

    Article  Google Scholar 

  33. Larson CD, Lenhoff EA, Rew LJ (2017) A warmer and drier climate in the northern sagebrush biome does not promote cheatgrass invasion or change its response to fire. Oecologia 185:763–774

    Article  PubMed  PubMed Central  Google Scholar 

  34. Mack RN (1981) Invasions of Bromus tectorum L. into western North America: an ecological chronicle. Agro-Ecosystems 7:145–165

    Article  Google Scholar 

  35. Mack RN, Thompson JN (1982) Evolution in steppe with few large, hooved mammals. Am Nat 119:757–773

    Article  Google Scholar 

  36. Meyer SE, Garvin SC, Beckstead J (2001) Factors mediating cheatgrass invasion of intact salt desert shrubland. In: McArthur ED, Fairbanks DJ (compilers) Proceedings—Shrubland Ecosystem Genetics and Biodiversity; 13–15 June 2000. RMRS-P-21, US Department of Agriculture Forest Service, Rocky Mountain Research Station, Provo, Utah

  37. Miller RF, Chambers JC, Pyke DA, Pierson FB, Williams CJ (2013) A review of fire effects on vegetation and soils in the Great Basin region: response and ecological site characteristics. General Technical Report RMRS-GTR-308, US Department of Agriculture Forest Service, Rocky Mountain Research Station, Fort Collins, Colorado

  38. Mullahy J (1986) Specification and testing of some modified count data models. J Econom 33:341–365

    Article  Google Scholar 

  39. NOAA National Centers for Environmental Information (NCEI) (2018) U.S. billion-dollar weather and climate disasters. https://www.ncdc.noaa.gov/billions/

  40. Parker IM, Simberloff D, Lonsdale WM, Goodell K, Wonham M, Karieva PM, Williamson MH, Von Holle B, Moyle PB, Byers JE, Goldwasser L (1999) Impact: toward a framework for understanding the ecological effects of invaders. Biol Invasions 1:3–19

    Article  Google Scholar 

  41. Peterson EB (2005) Estimating cover of an invasive grass (Bromus tectorum) using tobit regression and phenology derived from two dates of Landsat ETM plus data. Int J Remote Sens 26:2491–2507

    Article  Google Scholar 

  42. Pilliod DS, Welty JL, Arkle RS (2017) Refining the cheatgrass-fire cycle in the Great Basin: precipitation and fine fuel composition predict wildfire trends. Ecol Evol 7:8126–8151

    Article  PubMed  PubMed Central  Google Scholar 

  43. Polade SD, Pierce DW, Cayan DR, Gershunov A, Dettinger MD (2014) The key role of dry days in changing regional climate and precipitation regimes. Nat Sci Rep 4:4364. https://doi.org/10.1038/srep04364

    CAS  Article  Google Scholar 

  44. Pyke DA, Chambers JC, Beck JL, Brooks ML, Mealor BA (2016) Land uses, fire and invasion: exotic annual Bromus and human dimensions. In: Germino MJ, Chambers JC, Brown CS (eds) Exotic brome-grasses in arid and semiarid ecosystems of the western US. Springer, Zurich, pp 307–337

    Chapter  Google Scholar 

  45. Reisner MD, Grace JB, Pyke DA, Doescher PS (2013) Conditions favouring Bromus tectorum dominance of endangered sagebrush steppe ecosystems. J Appl Ecol 50:1039–1049

    Article  Google Scholar 

  46. Reisner MD, Doescher PS, Pyke DA (2015) Stress-gradient hypothesis explains susceptibility to Bromus tectorum invasion and community stability in North America’s semi-arid Artemisia tridentata wyomingensis ecosystems. J Veg Sci 26:1212–1224

    Article  Google Scholar 

  47. Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchez J, Müller M (2011) pROC: an open-source package for R and S + to analyze and compare ROC curves. BMC Bioinform 12:77. https://doi.org/10.1186/1471-2105-12-77

    Article  Google Scholar 

  48. Roundy BA, Young K, Cline N, Hulet A, Miller RR, Tausch RJ, Chambers JC, Rau B (2014) Piñon-juniper reduction increases soil water availability of the resource growth pool. Rangel Ecol Manag 67:495–505

    Article  Google Scholar 

  49. Roundy BA, Chambers JC, Pyke DA, Miller RF, Tausch RJ, Schupp EW et al (2018) Resilience and resistance in sagebrush ecosystems are associated with seasonal soil temperature and water availability. Ecosphere 9:02417

    Article  Google Scholar 

  50. Shinneman DJ, Germino MJ, Piliod DS, Aldridge CL, Vaillant NM, Coates PS (2019) The ecological uncertainty of wildfire fuel breaks: examples from the sagebrush steppe. Front Ecol Environ. https://doi.org/10.1002/fee.2045

    Article  Google Scholar 

  51. Stan Development Team (2017) Stan modeling language: user’s guide and reference manual. Version 2.17.0

  52. Stan Development Team (2018) RStan: the R interface to Stan. R package version 2.17.3. http://mc-stan.org/

  53. Svejcar T, Boyd C, Davies K, Hamerlynck E, Svejcar L (2017) Challenges and limitations to native species restoration in the Great Basin, USA. Plant Ecol 218:81–94

    Article  Google Scholar 

  54. Taylor K, Brummer T, Rew LJ, Lavin M, Maxwell BD (2014) Bromus tectorum response to fire varies with climate conditions. Ecosystems 17:960–973

    Article  CAS  Google Scholar 

  55. R Core Team (2017) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/

  56. Urza A, Weisberg PJ, Chambers JC, Board DI, Dhaemers J, Flake S (2017) Post-fire vegetation response at the woodland-shrubland interface is mediated by the pre-fire community. Ecosphere 8(6):e01851. https://doi.org/10.1002/ecs2.1851

    Article  Google Scholar 

  57. US Department of the Interior Bureau of Land Management (BLM) (2007) Burned area emergency stabilization and rehabilitation handbook. BLM Handbook H-1742-1. https://www.blm.gov/sites/blm.gov/files/uploads/Media_Library_BLM_Policy_Handbook_h1742-1.pdf

  58. U.S. Fish and Wildlife Service (USFWS) (2015) Endangered and threatened wildlife and plants; 12-month finding on a petition to list the greater sage-grouse (Centrocercus urophasianus) as an endangered or threatened species; proposed rule. Fed. Register 80, 59858–59942. http://www.gpo.gov/fdsys/pkg/FR-2015-10-02/pdf/2015-24292.pdf. Accessed 9 Jan 2016

  59. Williamson, MA (2019) Code for Williamson et al. 2019. https://doi.org/10.5281/zenodo.3237935. Available at https://github.com/mattwilliamson13/GBbrte

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Acknowledgements

This research was supported by the Joint Fire Science Program (05-2-1-94, 09-1-08-4, and 15-1-03-6), the US National Science Foundation Graduate Research Fellowship Program (1650042), the US Geological Survey’s Northwest and Southwest Climate Science Centers (F16AC00025), and the Strategic Environmental Research and Development Program of the US Department of Defense (RC-2202).

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Correspondence to Matthew A. Williamson.

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Williamson, M.A., Fleishman, E., Mac Nally, R.C. et al. Fire, livestock grazing, topography, and precipitation affect occurrence and prevalence of cheatgrass (Bromus tectorum) in the central Great Basin, USA. Biol Invasions 22, 663–680 (2020). https://doi.org/10.1007/s10530-019-02120-8

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Keywords

  • Bromus tectorum
  • Hierarchical models
  • Fire
  • Great Basin
  • Livestock grazing
  • Resilience