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Long-term treatment leads to reduction of tree-of-heaven (Ailanthus altissima) populations in the Buffalo National River

Published online by Cambridge University Press:  14 October 2020

Craig C. Young Open the ORCID record for Craig C. Young [Opens in a new window] ,
Jordan C. Bell Open the ORCID record for Jordan C. Bell [Opens in a new window]  and
Lloyd W. Morrison Open the ORCID record for Lloyd W. Morrison [Opens in a new window]
Craig C. Young*
Affiliation:
Terrestrial Program Leader, National Park Service, Heartland Network, Republic, MO, USA
Jordan C. Bell
Affiliation:
Invasive Plant Project Manager, National Park Service, Heartland Network, Republic, MO, USA
Lloyd W. Morrison
Affiliation:
Quantitative Ecologist, National Park Service, Heartland Network, Republic, MO, USA
*
Author for correspondence: Craig Young, National Park Service, Heartland Network, 6424 W. Farm Road 182, Republic, MO65738. (Email: craig_young@nps.gov)
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Abstract

In this case study, we used point mapping data to evaluate long-term treatment of invasive tree-of-heaven [Ailanthus altissima (Mill.) Swingle]. This study at the Buffalo National River included 21 project areas ranging in size from 0.02 to 11.3 ha and spanned 5 to 8 yr depending on the site. The control techniques varied depending on the year and included the application of herbicide, which also varied over the course of the study and included imazapyr, triclopyr, and triclopyr+fluroxypyr. Treatments during the first year reduced local A. altissima populations by an average of 66%. Long-term repeated treatments led to decreases of at least 90% in 70% of the project areas and at least 73% in 95% of the project areas. Only one project area was found to support no plants during the final treatment year. Ailanthus altissima increased at most project areas during an unusually wet year and was more likely to increase than decrease in intervals >1 yr with no treatment. Over the temporal and spatial scales of this case study, we observed high levels of control that will likely meet the specified levels and ecological benefits required in many similar efforts. Land managers must, however, make a long-term commitment of resources to achieve lasting control of this invasive species.

Keywords

Adaptive managementeradicationherbicideimazapyrinvasive plantsmonitoringnational parkpoint mappingproject effectivenesstriclopyr
Type
Case Study
Information
Invasive Plant Science and Management , Volume 13 , Issue 4 , December 2020 , pp. 276 - 281
Copyright
© [US Gov. entity], 2020. This is a work of the US Government and is not subject to copyright protection within the United States. Published by Cambridge University Press on behalf of Weed Science Society of America

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Footnotes

Associate Editor: Stephen F. Enloe, University of Florida

References

Abella, SR (2014) Effectiveness of exotic plant treatments on National Park Service lands in the United States. Invasive Plant Sci Manag 7:147–163 CrossRefGoogle Scholar
Albright, TP, Chen, H, Chen, L, Guo, Q (2010) The ecological niche and reciprocal prediction of the disjunct distribution of an invasive species: the example of Ailanthus altissima . Biol Invasions 12:2413–2427 CrossRefGoogle Scholar
Badalamenti, E, Barone, E, La Mantia, T (2015). Seasonal effects on mortality rates and resprouting of stems treated with glyphosate in the invasive tree of heaven (Ailanthus altissima (Mill.) Swingle). Arboric J 37:180–195 CrossRefGoogle Scholar
Bowker, D, Stringer, J (2011). Efficacy of herbicide treatments for controlling residual sprouting of A. altissima . Pages 128–133 in Proceedings of the 17th Central Hardwood Forest Conference. Lexington, KY: U.S. Department of Agriculture, Forest Service, Northern Research Station Google Scholar
Bragg, DC (2012) A brief history of forests and tree planting in Arkansas. Tree Planters’ Notes 55:12–21 Google Scholar
Burch, PL, Zedaker, SM (2003) Removing the invasive tree Ailanthus altissima and restoring natural cover. Arboric Urban For 29:18–23 Google Scholar
Constán-Nava, S, Bonet, A, Pastor, E, Lledó, MJ (2010) Long-term control of the invasive tree Ailanthus altissima: insights from Mediterranean protected forests. For Ecol Manag 26:1058–1064 CrossRefGoogle Scholar
Crandall, RM, Knight, TM (2018) Role of multiple invasion mechanisms and their interaction in regulating the population dynamics of an exotic tree. J Appl Ecol 55:885–894 CrossRefGoogle Scholar
Daniel, WW (1990) Applied Nonparametric Statistics. 2nd ed. Boston: PWS-Kent. 635 pGoogle Scholar
DiTomaso, JM, Kyser, GB (2007) Control of Ailanthus altissima using stem herbicide application techniques. Arboric Urban For 33:55–63 Google Scholar
Fryer, JL (2010) Ailanthus altissima. In Fire Effects Information System. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fire Sciences Laboratory. https://www.fs.fed.us/database/feis/plants/tree/ailalt/all.html. Accessed: June 1, 2020Google Scholar
Gómez-Aparicio, L, Canham, CD (2008) Neighbourhood analyses of the allelopathic effects of the invasive tree Ailanthus altissima in temperate forests. J Ecol 96:447–458 CrossRefGoogle Scholar
Harris, PT, Cannon, GH, Smith, NE, Muth, NZ (2013) Assessment of plant community restoration following Ailanthus altissima control by Verticillium albo-atrum . Biol Invasions 15:1887–1893 CrossRefGoogle Scholar
Harvey, FL (1883) The Forest Trees of Arkansas: An Address Delivered before the American Forestry Congress at Cincinnati, Ohio, April 26th, 1882. Cincinnati: Robert Clarke & Company.Google Scholar
Heisey, RM (1990) Allelopathic and herbicidal effects of extracts from tree of heaven (Ailanthus altissima). Am J Bot 77:662–670 CrossRefGoogle Scholar
Hop, K, Pyne, M, Foti, T, Lubinski, S, White, R, Dieck, J (2012) National Park Service Vegetation Inventory Program: Buffalo National River, Arkansas. Fort Collins, CO: National Park Service Rep 526. 68 pGoogle Scholar
Iverson, LR, Rebbeck, J, Peters, MP, Hutchinson, T, Fox, T (2019) Predicting Ailanthus altissima presence across a managed forest landscape in southeast Ohio. For Ecosyst 6:1–13 CrossRefGoogle Scholar
Johnson, DH, Soma, MB (2012) The treatment of missing data in long-term monitoring programs. Pages 298–312 in Gitzen, RA, Millspaugh, JJ, Cooper, AB, Licht, DS, eds. Design and Analysis of Long-Term Ecological Monitoring Studies. New York: Cambridge University Press CrossRefGoogle Scholar
Kaproth, MA, McGraw, JB (2008). Seed viability and dispersal of the wind-dispersed invasive Ailanthus altissima in aqueous environments. For Sci 54:490–496 Google Scholar
Kettenring, KM, Adams, CR (2011) Lessons learned from invasive plant control experiments: a systematic review and meta-analysis. J Appl Ecol 48:970–979 CrossRefGoogle Scholar
Khapugin, A (2019) A global systematic review of publications concerning the invasion biology of four tree species. Hacquetia 18:233–270 CrossRefGoogle Scholar
Knapp, LB, Canham, CD (2000) Invasion of an old-growth forest in New York by Ailanthus altissima: sapling growth and recruitment in canopy gaps. J Torrey Bot Soc 4:307–315 CrossRefGoogle Scholar
Knüsel, S, De Boni, A, Conedera, M, Schleppi, P, Thormann, JJ, Frehner, M, Wunder, J (2017) Shade tolerance of Ailanthus altissima revisited: novel insights from southern Switzerland. Biol Invasions 19:455–461 CrossRefGoogle Scholar
Kowarik, I (1995) Clonal growth in Ailanthus altissima on a natural site in West Virginia. J Veg Sci 6:853–856 CrossRefGoogle Scholar
Kowarik, I, Säumel, I (2008). Water dispersal as an additional pathway to invasions by the primarily wind-dispersed tree Ailanthus altissima . Plant Ecol 198:241–252 CrossRefGoogle Scholar
Kutner, MH, Nachtsheim, CJ, Neter, J, Li, W (2005) Applied Linear Statistical Models. Boston: McGraw Hill Irwin. 1396 pGoogle Scholar
Landenberger, RE, Kota, NL, McGraw, JB (2007) Seed dispersal of the non-native invasive tree Ailanthus altissima into contrasting environments. Plant Ecol 192:55–70 CrossRefGoogle Scholar
Lewis, K, McCarthy, B (2008) Nontarget tree mortality after tree-of-heaven (Ailanthus altissima) injection with imazapyr. North J Appl For 25:66–72 CrossRefGoogle Scholar
Ließ, N, Drescher, A (2008). Ailanthus altissima spreading in the Danube National Park–possibilities of control. Neobiota 7:84–95 Google Scholar
Meloche, C, Murphy, SD (2006) Managing tree-of-heaven (Ailanthus altissima) in parks and protected areas: a case study of Rondeau Provincial Park (Ontario, Canada). Environ Manag 37:764–772 CrossRefGoogle Scholar
Miller, JH (1990). Ailanthus altissima (Mill.) Swingle. Pages 101–104 in Burns, RM, Honkala, BH, tech. coords. Silvics of North America. Volume 2. Washington, DC: United States Forest Service Google Scholar
Morrison, LW (2016) Observer error in vegetation surveys: a review. J Plant Ecol 9:367–379 CrossRefGoogle Scholar
Mott, D, Luraas, J (2004) Water resource management plan, Buffalo National River, Arkansas. Harrison AR: National Park Service. 144 pGoogle Scholar
National Weather Service (2019) Climatological Averages, Statistics and Records for Harrison, Arkansas. North Little Rock, AR: Weather Forecast Office. Updated January 15, 2019. www.weather.gov/media/lzk/clihro.pdf. Accessed: January 30, 2020Google Scholar
[NAISMA] North America Invasive Species Management Association (2018) Mapping Standards for Program Managers. https://www.naisma.org/wp-content/uploads/2019/06/NAISMA_Mapping_Standards.pdf. Accessed: May 18, 2020Google Scholar
Norusis, MJ (2008) SPSS 16.0 Statistical Procedures Companion. Upper Saddle River, NJ: Prentice Hall. 630 pGoogle Scholar
Panfil, MS, Jacobson, RB (2001) Relations Among Geology, Physiography, Land Use, and Stream Habitat Conditions in the Buffalo and Current River Systems, Missouri and Arkansas. Columbia, MO: United States Geological Survey Report USGS/BRD/BSR–2001-0005. 111 pGoogle Scholar
Pearson, D, Ortega, Y (2009) Managing invasive plants in natural areas: moving beyond weed control. Pages 1–21 in Kingely, RV, ed. Weeds: Management, Economic Impacts and Biology. Hauppauge, NY: Nova Science Publishers Google Scholar
Pearson, DE, Ortega, YK, Runyon, JB, Butler, JL (2016) Secondary invasion: the bane of weed management. Biol Conserv 197:8–17 CrossRefGoogle Scholar
Polgar, SK (2008) Prioritizing Management of Ailanthus altissima at the Edge of Appalachia Preserve. MS thesis. Athens, OH: Ohio University. 109 pGoogle Scholar
Radtke, A, Ambraß, S, Zerbe, S, Tonon, G, Fontana, V, Ammer, C (2013) Traditional coppice forest management drives the invasion of Ailanthus altissima and Robinia pseudoacacia into deciduous forests. For Ecol Manag 291:308–317 CrossRefGoogle Scholar
Rebbeck, J, Hutchinson, T, Iverson, L, Yaussy, D, Fox, T (2017). Distribution and demographics of Ailanthus altissima in an oak forest landscape managed with timber harvesting and prescribed fire. For Ecol Manag 401:233–241 CrossRefGoogle Scholar
Rebbeck, J, Hutchinson, TF, Iverson, LR (2019). Effects of prescribed fire and stem-injection herbicide on Ailanthus altissima demographics and survival. For Ecol Manag 439:122–131 CrossRefGoogle Scholar
Rebbeck, J, Jolliff, J (2018) How long do seeds of invasive tree, Ailanthus altissima remain viable? For Ecol Manag 429:175–179 CrossRefGoogle Scholar
Rebbeck, J, Kloss, A, Bowden, M, Coon, C, Hutchinson, TF, Iverson, L, Guess, G (2015) Aerial detection of seed-bearing female Ailanthus altissima: a cost-effective method to map an invasive tree in forested landscapes. For Sci 61:1068–1078 Google Scholar
Schall, MJ, Davis, DD (2009) Ailanthus altissima wilt and mortality: etiology. Plant Dis 93:747–751 CrossRefGoogle ScholarPubMed
Skurski, TC, Maxwell, BD, Rew, LJ (2013) Ecological tradeoffs in non-native plant management. Biol Conserv 159:292–302 CrossRefGoogle Scholar
Snyder, AL, Kasson, MT, Salom, SM, Davis, DD, Griffin, GJ, Kok, LT (2013) First report of Verticillium wilt of Ailanthus altissima in Virginia caused by Verticillium nonalfalfae . Plant Dis 97:837–838 CrossRefGoogle ScholarPubMed
Young, CC, Bell, JC, Gross, CS, Morrison, LW, Haack-Gaynor, JL (2017) Point mapping integrates data collection and weed control operations. Invasive Plant Sci Manag 10:33–43 CrossRefGoogle Scholar