Research article Special Issues

Simulating long-term effectiveness and efficiency of management scenarios for an invasive grass

  • Received: 30 January 2015 Accepted: 28 April 2015 Published: 14 May 2015
  • Resource managers are often faced with trade-offs in allocating limited resources to manage plant invasions. These decisions must often be made with uncertainty about the location of infestations, their rate of spread and effectiveness of management actions. Landscape level simulation tools such as state-and-transition simulation models (STSMs) can be used to evaluate the potential long term consequences of alternative management strategies and help identify those strategies that make efficient use of resources. We analyzed alternative management scenarios for African buffelgrass (Pennisetum ciliare syn. Cenchrus ciliaris) at Ironwood Forest National Monument, Arizona using a spatially explicit STSM implemented in the Tool for Exploratory Landscape Scenario Analyses (TELSA). Buffelgrass is an invasive grass that is spreading rapidly in the Sonoran Desert, affecting multiple habitats and jurisdictions. This invasion is creating a novel fire risk and transforming natural ecosystems. The model used in this application incorporates buffelgrass dispersal and establishment and management actions and effectiveness including inventory, treatment and post-treatment maintenance. We simulated 11 alternative scenarios developed in consultation with buffelgrass managers and other stakeholders. The scenarios vary according to the total budget allocated for management and the allocation of that budget between different kinds of management actions. Scenario results suggest that to achieve an actual reduction and stabilization of buffelgrass populations, management unconstrained by fiscal restrictions and across all jurisdictions and private lands is required; without broad and aggressive management, buffelgrass populations are expected to increase over time. However, results also suggest that large upfront investments can achieve control results that require relatively minimal spending in the future.Investing the necessary funds upfront to control the invasion results in the most efficient use of resources to achieve lowest invaded acreage in the long-term.

    Citation: Catherine S. Jarnevich, Tracy R. Holcombe, Catherine Cullinane Thomas, Leonardo Frid, Aaryn Olsson. Simulating long-term effectiveness and efficiency of management scenarios for an invasive grass[J]. AIMS Environmental Science, 2015, 2(2): 427-447. doi: 10.3934/environsci.2015.2.427

    Related Papers:

  • Resource managers are often faced with trade-offs in allocating limited resources to manage plant invasions. These decisions must often be made with uncertainty about the location of infestations, their rate of spread and effectiveness of management actions. Landscape level simulation tools such as state-and-transition simulation models (STSMs) can be used to evaluate the potential long term consequences of alternative management strategies and help identify those strategies that make efficient use of resources. We analyzed alternative management scenarios for African buffelgrass (Pennisetum ciliare syn. Cenchrus ciliaris) at Ironwood Forest National Monument, Arizona using a spatially explicit STSM implemented in the Tool for Exploratory Landscape Scenario Analyses (TELSA). Buffelgrass is an invasive grass that is spreading rapidly in the Sonoran Desert, affecting multiple habitats and jurisdictions. This invasion is creating a novel fire risk and transforming natural ecosystems. The model used in this application incorporates buffelgrass dispersal and establishment and management actions and effectiveness including inventory, treatment and post-treatment maintenance. We simulated 11 alternative scenarios developed in consultation with buffelgrass managers and other stakeholders. The scenarios vary according to the total budget allocated for management and the allocation of that budget between different kinds of management actions. Scenario results suggest that to achieve an actual reduction and stabilization of buffelgrass populations, management unconstrained by fiscal restrictions and across all jurisdictions and private lands is required; without broad and aggressive management, buffelgrass populations are expected to increase over time. However, results also suggest that large upfront investments can achieve control results that require relatively minimal spending in the future.Investing the necessary funds upfront to control the invasion results in the most efficient use of resources to achieve lowest invaded acreage in the long-term.


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    [1] Epanchin-Niell RS, Hufford MB, Aslan CE, et al. (2009) Controlling invasive species in complex social landscapes. Frontiers Ecol Environ 8: 210-216.
    [2] Dana ED, Jeschke JM, Garcia-de-Lomas J (2014) Decision tools for managing biological invasions: existing biases and future needs. Oryx 48: 56-63. doi: 10.1017/S0030605312001263
    [3] Epanchin-Niell RS, Haight RG, Berec L, et al. (2012) Optimal surveillance and eradication of invasive species in heterogeneous landscapes. Ecol Lett 15: 803-812. doi: 10.1111/j.1461-0248.2012.01800.x
    [4] Rout TM, Moore JL, McCarthy MA (2014) Prevent, search or destroy? A partially observable model for invasive species management. J Appl Ecol 51: 804-813.
    [5] Frid L, Holcombe T, Morisette JT, et al. (2013) Using state and transition modeling to account for imperfect knowledge in invasive species management. Invas Plant Sci Mana 6: 36-47. doi: 10.1614/IPSM-D-11-00065.1
    [6] Büyüktahtakın İE, Feng Z, Frisvold G, et al. (2011) A dynamic model of controlling invasive species. Comput Math Appl 62: 3326-3333. doi: 10.1016/j.camwa.2011.08.037
    [7] Leung B, Lodge DM, Finnoff D, et al. (2002) An ounce of prevention or a pound of cure: bioeconomic risk analysis of invasive species. P Roy Soc B-Biol Sci 269: 2407-2413. doi: 10.1098/rspb.2002.2179
    [8] Sleeter BM, Liu J, Daniel C, et al. (2015) Using a state-and-transition simulation model and a stock and flow model to project changes in ecosystem carbon in the Sierra Nevada Mountains, California. AIMS Environ Sci [submitted].
    [9] Miller BW, Frid L, Chang T, et al. (2015) Combining state-and-transition simulations and species distribution models to anticipate the effects of climate change. AIMS Environ Sci 2:400-426. doi: 10.3934/environsci.2015.2.400
    [10] Marshall VM, Lewis MM, Ostendorf B (2012) Buffel grass (Cenchrus ciliaris) as an invader and threat to biodiversity in arid environments: A review. J Arid Environ 78: 1-12. doi: 10.1016/j.jaridenv.2011.11.005
    [11] Lyons KG, Maldonado-Leal BG, Owen G (2013) Community and Ecosystem Effects of Buffelgrass (Pennisetum ciliare) and Nitrogen Deposition in the Sonoran Desert. Invas Plant Sci Mana 6: 65-78. doi: 10.1614/IPSM-D-11-00071.1
    [12] McDonald CJ, McPherson GR (2011) Fire behavior characteristics of buffelgrass-fueled fires and native plant community composition in invaded patches. J Arid Environ 75: 1147-1154. doi: 10.1016/j.jaridenv.2011.04.024
    [13] McDonald CJ, McPherson GR (2013) Creating hotter fires in the Sonoran Desert: buffelgrass produces copious fuels and high fire temperatures. Fire Ecol 9: 26-39. doi: 10.4996/fireecology.0902026
    [14] Abella S, Chiquoine L, Backer D (2013) Soil,Vegetation, and Seed Bank of a Sonoran Desert Ecosystem Along an Exotic Plant (Pennisetum ciliare) Treatment Gradient. Environ Manage 52:946-957. doi: 10.1007/s00267-013-0104-y
    [15] Stevens J, Falk D (2009) Can buffelgrass invasions be controlled in the American Southwest? Using invasion ecology theory to understand buffelgrass success and develop comprehensive restoration and management. Ecol Restor 27: 417-427.
    [16] Western Regional Climate Center, Cooperative climatological data summaries. 2015. Available from: http://www.wrcc.dri.edu/climatedata/climsum/
    [17] ESSA Technologies Ltd., TELSA—Tool for Exploratory Landscape Scenario Analyses, Model Descritption, Version 3.6. 2008. Available from: http://essa.com/wp-content/uploads/2010/09/ModelDescription.pdf
    [18] Frid L, Hanna D, Korb N, et al. (2013) Evaluating Alternative Weed Management Strategies for Three Montana Landscapes. Invas Plant Sci Mana 6: 48-59. doi: 10.1614/IPSM-D-11-00054.1
    [19] Frid L, Wilmshurst JF (2009) Decision Analysis to Evaluate Control Strategies for Crested Wheatgrass (Agropyron cristatum) in Grasslands National Park of Canada. Invas Plant Sci Mana 2: 324-336. doi: 10.1614/IPSM-09-006.1
    [20] Breiman L (2001) Random forests. Mach Learn 45: 5-32. doi: 10.1023/A:1010933404324
    [21] Olsson AD, Betancourt JL, Crimmins MA, et al. (2012) Constancy of local spread rates for buffelgrass (Pennisetum ciliare L.) in the Arizona Upland of the Sonoran Desert. J Arid Environ87: 136-143.
    [22] PRISM Climate Group, Oregon State University. 2012. Available from: http://www.prism.oregonstate.edu/
    [23] Büyüktahtakin İE, Feng Z, Olsson AD, et al. (2014) Invasive Species Control Optimization as a Dynamic Spatial Process: An Application to Buffelgrass (Pennisetum ciliare) in Arizona. Invas Plant Sci Mana 7: 132-146. doi: 10.1614/IPSM-D-13-00057.1
    [24] Rogstad A (2008) Southern Arizona Buffelgrass Strategic Plan. Tucson, AZ: Buffelgrass working group. 41.
    [25] Abatzoglou JT, Kolden CA (2011) Climate Change in Western US Deserts: Potential for Increased Wildfire and Invasive Annual Grasses. Rangeland Ecol Manag 64: 471-478. doi: 10.2111/REM-D-09-00151.1
    [26] Apex Resource Management Solutions, ST-Sim state-and-transition simulation model software. 2014. Available from: www.apexrms.com/stsm
    [27] Daniel CJ, Frid L. Predicting landscape vegetation dynamics using state-and-transition simulation models. In: Kerns BK, Shlisky AJ, Daniel CJ, editors. General Technical Report 2012; Portland, OR. Department of Agriculture, Forest Service, Pacific Northwest Research Station. pp. 5-22.
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