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Forecasting the Vulnerability of Lakes to Aquatic Plant Invasions

Published online by Cambridge University Press:  20 January 2017

Mariana Tamayo
Affiliation:
School of Aquatic and Fishery Sciences, Box 355020, University of Washington, Seattle, WA 98195-5020, USA
Julian D. Olden*
Affiliation:
School of Aquatic and Fishery Sciences, Box 355020, University of Washington, Seattle, WA 98195-5020, USA
*
Corresponding author's E-mail: [email protected]

Abstract

Prevention is an integral component of many management strategies for aquatic invasive species, yet this represents a formidable task when the landscapes to be managed include multiple invasive species, thousands of waterbodies, and limited resources to implement action. Species distributional modeling can facilitate prevention efforts by identifying locations that are most vulnerable to future invasion based on the likelihood of introduction and environmental suitability for establishment. We used a classification tree approach to predict the vulnerability of lakes in Washington State (United States) to three noxious invasive plants: Eurasian watermilfoil (Myriophyllum spicatum), Brazilian egeria (Egeria densa), and curlyleaf pondweed (Potamogeton crispus). Overall, the distribution models predicted that approximately one-fifth (54 out of 319 study lakes) of lakes were at risk of being invaded by at least one aquatic invasive plant, and many of these predicted vulnerable lakes currently support high native plant diversity and endemism. Highly vulnerable lakes are concentrated in western Washington in areas with the highest human population densities, and in eastern Washington along the Columbia Basin Irrigation Project and the Okanogan River Basin that boast hundreds of lakes subject to recreational use. Overall, invasion potential for the three species was highly predictable as a function of lake attributes describing human accessibility (e.g., public boat launch, urban land use) and physical–chemical conditions (e.g., lake area, elevation, productivity, total phosphorous). By identifying highly vulnerable lake ecosystems, our study offers a strategy for prioritizing on-the-ground management action and informing the most efficient allocation of resources to minimize future plant invasions in vast freshwater networks.

Type
Research Article
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Alexander, ML, Woodford, MP, Hotchkiss, SC (2008) Freshwater macrophyte communities in lakes of variable landscape position and development in northern Wisconsin, U.S.A. Aquat Bot 88:7786 Google Scholar
Bloodworth, G, White, J (2008) The Columbia Basin Project: seventy-five years later. Yearb Assoc Pac Coast Geogr 70:96111 Google Scholar
Boylen, CW, Eichler, LW, Madsen, JD (1999) Loss of native aquatic plant species in a community dominated by Eurasian watermilfoil. Hydrobiologia 415:207211 Google Scholar
Bradley, BA, Blumenthal, DM, Early, RI, Grosholz, ED, Lawler, JJ, Miller, LP, Sorte, CJB, D'Antonio, CM, Diez, JM, Dukes, JS, Ibanez, I, Olden, JD (2012) Global change, global trade, and the next wave of plant invasions. Front Ecol Environ 10:2028 Google Scholar
Breiman, L, Friedman, JH, Olshen, RA, Stone, CJ (1984) Classification and regression trees. 1st edn. New York Chapman and Hall. 368 pGoogle Scholar
Buchan, LA, Padilla, DK (1999) Estimating the probability of long-distance overland dispersal of invading aquatic species. Ecol Appl 9:254265 CrossRefGoogle Scholar
Buchan, LA, Padilla, DK (2000) Predicting the likelihood of Eurasian watermilfoil presence in lakes, a macrophyte monitoring tool. Ecol Appl 10:14421455 Google Scholar
Carillo, Y, Guarín, A, Guillot, G (2006) Biomass distribution, growth and decay of Egeria densa in a tropical high-mountain reservoir (NEUSA, Colombia). Aquat Bot 85:715 CrossRefGoogle Scholar
Couch, R, Nelson, E (1985) Myriophyllum spicatum in North America. Pages 818 in Proceedings of the 1st International Symposium on Watermilfoil and Related Haloragaceae Species. Vicksburg, MS Aquatic Plant Management Society Google Scholar
Crall, AW, Renz, M, Panke, BJ, Newman, GJ, Chapin, C, Graham, J, Bargeron, C (2012) Developing cost-effective early detection networks for regional invasions. Biol Invasions 14:24612469 Google Scholar
De'ath, G, Fabricius, KE (2000) Classification and regression trees: a powerful yet simple technique for ecological data analysis. Ecology 81:31783192 Google Scholar
Drake, DAR, Mandrak, NE (2010) Least-cost transportation networks predict spatial interaction of invasion vectors. Ecol Appl 20:22862299 Google Scholar
Drury, KLS, Rothlisberger, JD (2008) Offense and defense in landscape-level invasion control. Oikos 117:182190 CrossRefGoogle Scholar
Eiswerth, ME, Donaldson, SG, Johnson, WS (2000) Potential environmental impacts and economic damages of Eurasian watermilfoil (Myriophyllum spicatum) in western Nevada and northeastern California. Weed Technol 14:511518 Google Scholar
Engel, S, Nichols, S (1994) Aquatic macrophyte growth in a turbid windswept lake. J Freshwater Ecol 9:97109 Google Scholar
Fielding, AH, Bell, JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv 24:3849 Google Scholar
Finnoff, D, Shogren, JF, Leung, B, Lodge, D (2007) Take a risk: preferring prevention over control of biological invaders. Ecol Econ 62:216222 Google Scholar
Frodge, JD, Thomas, GL, Pauley, GB (1990) Effects of canopy formation by floating and submergent aquatic macrophytes on the water quality of two shallow Pacific Northwest lakes. Aquat Bot 38:231248 Google Scholar
Gassmann, A, Cock, MJW, Shaw, R, Evans, H. C. (2006) The potential for biological control of invasive alien aquatic weeds in Europe: a review. Hydrobiologia 570:217222 CrossRefGoogle Scholar
Hamel, KS, Parsons, JK (2001) Washington's aquatic plant quarantine. J Aquat Plant Manage 39:7275 Google Scholar
Herborg, LM, Jerde, CL, Lodge, DM, Ruiz, GM, MacIsaac, HJ (2007) Predicting invasion risk using measures of introduction effort and environmental niche models. Ecol Appl 17:663674 Google Scholar
Horsch, EJ, Lewis, DJ (2009) The effects of aquatic invasive species on property values: evidence from a quasi-experiment. Land Econ 85:391409 CrossRefGoogle Scholar
Jacobs, MJ, MacIsaac, HJ (2009) Modelling spread of the invasive macrophyte Cabomba caroliniana . Freshwater Biol 54:296305 Google Scholar
Johnson, PTJ, Olden, JD, Vander Zanden, MJ (2008) Dam invaders: impoundments facilitate biological invasions into freshwaters. Front Ecol Environ 6:357363 CrossRefGoogle Scholar
Kaiser, BA, Burnett, KM (2010) Spatial economic analysis of early detection and rapid response strategies for an invasive species. Resour Energy Econ 32:566585 Google Scholar
Keller, RP, Frang, K, Lodge, DM (2008) Preventing the spread of invasive species: economic benefits of intervention guided by ecological predictions. Conserv Biol 22:8088 CrossRefGoogle ScholarPubMed
Keller, RP, Lodge, DM (2007) Species invasions from commerce in live aquatic organisms – problems and possible solutions. BioScience 57:428436 Google Scholar
Kimbel, JC (1982) Factors influencing potential intralake colonization by Myriophyllum spicatum L. Aquat Bot 14:295307 Google Scholar
Larson, ER, Olden, JD (2008) Do schools and golf courses represent emerging pathways for crayfish invasions? Aquat Invasions 3:465468 Google Scholar
Leung, B, Bossenbroek, JM, Lodge, DM (2006) Boats, pathways, and aquatic biological invasions: estimating dispersal potential with gravity models. Biol Invasions 8:241254 Google Scholar
Leung, B, Roura-Pascual, N, Bacher, S, Heikkila, J, Brotons, L, Brugman, MA, Dehnen-Schmutz, K, Essl, F, Hulme, PE, Richardson, DM, Sol, D, Vilà, M (2012) TEASIng apart alien species risk assessments: a framework for best practices. Ecol Lett 15:14751493 Google Scholar
Lodge, DM, Williams, SL, MacIsaac, H, Hayes, K, Leung, B, Reichard, S, Mack, RN, Moyle, PB, Smith, M, Andow, DA, Carlton, JT, McMichael, A (2006) Biological invasions: recommendations for U.S. policy and management. Ecol Appl 16:20352054 Google Scholar
Lovell, SJ, Stone, SF, Fernandez, L (2006) The economic impacts of aquatic invasive species: a review of the literature. Agr Resour Econ Rev 35:195208 Google Scholar
Madsen, JD, Smith, DH (1997) Vegetative spread of Eurasian watermilfoil colonies. J Aquat Plant Manage 35:6368 Google Scholar
Madsen, JD, Sutherland, JW, Bloomfield, JA, Eichler, LW, Boylen, CW (1991) The decline of native vegetation under dense Eurasian watermilfoil canopies. J Aquat Plant Manage 29:9499 Google Scholar
Maki, K, Galatowitsch, S (2004) Movement of invasive aquatic plants into Minnesota (USA) through horticultural trade. Biol Conserv 118:389396 Google Scholar
Mantua, NJ, Tohver, I, Hamlet, AF (2010) Climate change impacts on streamflow extremes and summertime stream temperature and their possible consequences for freshwater salmon habitat in Washington State. Climatic Change 102:187223 CrossRefGoogle Scholar
Mercado-Silva, N, Olden, JD, Maxted, JT, Hrabik, TR, Vander Zanden, MJ (2006) Forecasting the spread of invasive rainbow smelt in the Laurentian Great Lakes region of North America. Conserv Biol 20:17401749 Google Scholar
Muirhead, JR, MacIsaac, HJ (2005) Development of inland lakes as hubs in an invasion network. J Appl Ecol 42:8090 Google Scholar
Nichols, SA (1999) Evaluation of invasions and declines of submersed macrophytes for the upper Great Lakes region. Lake Reservoir Manage 10:2933 Google Scholar
Nichols, SA, Shaw, BH (1986) Ecological life histories of the three aquatic nuisance plants, Myriophyllum spicatum, Potamogeton crispus, and Elodea canadensis . Hydrobiologia 131:321 Google Scholar
[NOAA] National Oceanic and Atmospheric Administration Fisheries Service (2009) Lake Ozette sockeye recovery plan summary: keys to understanding. Portland, OR U.S. Department of Commerce. 19 pGoogle Scholar
Olden, JD, Jackson, DA, Peres-Neto, PR (2002) Predictive models of fish species distributions: a note on proper validation and chance predictions. Trans Am Fish Soc 131:329336 Google Scholar
Olden, JD, Lawler, JJ, Poff, NL (2008) Machine learning methods without tears: a primer for ecologists. Q Rev Biol 83:171193 Google Scholar
Olden, JD, Vander Zanden, MJ, Johnson, PTJ (2011) Assessing ecosystem vulnerability to invasive rusty crayfish (Orconectes rusticus). Ecol Appl 21:25872599 Google Scholar
Padilla, DK, Williams, SL (2004) Beyond ballast water: aquarium and ornamental trades as sources if invasive species in aquatic ecosystems. Front Ecol Environ 2:131138 Google Scholar
Papeş, M, Sallstrom, M, Asplund, TR, Vander Zanden, MJ (2011) Invasive species research to meet the needs of resource management and planning. Conserv Biol 25:867872 Google Scholar
Parsons, J (1997) Aquatic Plants Technical Assistance Program 1996 Activity Report. Olympia, WA Washington Department of Ecology. 57 pGoogle Scholar
Parsons, JK, Couto, A, Hamel, KS, Marx, GE (2009) Effect of fluridone on macrophytes and fish in a coastal Washington lake. J Aquat Plant Manage 47:3140 Google Scholar
Pimentel, D, Zuniga, R, Morrison, D (2005) Update on the environmental and economic costs associated with alien-invasive species in the United States. Ecol Econ 52:273288 Google Scholar
R Development Core Team (2008) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org. Accessed January 1, 2013Google Scholar
Reed-Andersen, T, Bennett, EM, Jorgensen, BS, Lauster, G, Lewis, DB, Nowacek, D, Riera, JL, Sanderson, BL, Stedman, R (2000) Distribution of recreational boating across lakes: do landscape variables affect recreational use? Freshwater Biol 43:439448 Google Scholar
Rockwell, HW (2003) Aquatic Ecosystem Restoration Foundation. Summary of a survey of the literature on the economic impact of aquatic weeds. http://www.aquatics.org/pubs/economic_impact.pdf. Accessed June 10, 2012Google Scholar
Roley, SS, Newman, RM (2008) Predicting Eurasian watermilfoil invasions in Minnesota. Lake Reservoir Manage 24:361369 Google Scholar
Rothlisberger, JD, Chadderton, WL, McNulty, J, Lodge, DM (2010) Aquatic invasive species transport via trailered boats: what is being moved, who is moving it, and what can be done. Fisheries 35:121132 Google Scholar
Santos, MJ, Anderson, LW, Ustin, SL (2011) Effects of invasive species on plant communities: an example using submersed aquatic plants at the regional scale. Biol Invasions 13:443457 Google Scholar
Smith, CS, Barko, JW (1990) Ecology of Eurasian watermilfoil. J Aquat Plant Manage 28:5564 Google Scholar
Strecker, AL, Campbell, PM, Olden, JD (2011) The aquarium trade as an invasion pathway in the Pacific Northwest. Fisheries 36:7485 Google Scholar
Stuckey, RL (1979) Distributional history of Potamogeton crispus (curly pondweed) in North America. Bartonia 46:2242 Google Scholar
Tabor, RA, Gearns, HA, McCoy, CM III, Camacho, S (2006) Nearshore habitat use by Chinook salmon in lentic systems of the Lake Washington Basin. Lacey, WA U.S. Fish and Wildlife Service. 108 pGoogle Scholar
Václavík, T, Meentemeyer, RK (2009) Invasive species distribution modeling (iSDM): are absence data and dispersal constraints needed to predict actual distributions? Ecol Model 220:32483258 CrossRefGoogle Scholar
Vander Zanden, MJ, Hansen, GJA, Higgins, SN, Kornis, MS (2010) A pound of prevention, a pound of cure: Early detection and eradication of invasive species in the Laurentian Great Lakes. J Great Lakes Res 36:199205 Google Scholar
Vander Zanden, MJ, Olden, JD (2008) A management framework for preventing the secondary spread of aquatic invasive species. Can J Fish Aquat Sci 65:15121522 Google Scholar
Vander Zanden, MJ, Olden, JD, Thorne, JH, Mandrak, NE (2004) Predicting occurrences and impacts of bass introductions in north temperate lakes. Ecol Appl 14:132148 CrossRefGoogle Scholar
Vilà, M, Basnou, C, Pyšek, P, Josefsson, M, Genovesi, P, Gollasch, S, Nentwig, W, Olenin, S, Roques, A, Roy, D, Hulme, P DAISIE partners (2010) How well do we understand the impacts of alien species on ecosystem services? A pan-European cross-taxa assessment. Front Ecol Environ 8:135144 Google Scholar
[WADOE] Washington State Department of Ecology (2012a) Aquatic plant monitoring. http://www.ecy.wa.gov/programs/eap/lakes/aquaticplants/index.html#annualsurvey. Accessed June 10, 2012Google Scholar
[WADOE] Washington State Department of Ecology (2012b) Technical information about Egeria densa (Brazilian elodea). http://www.ecy.wa.gov/Programs/wq/plants/weeds/aqua002.html. Accessed June 15, 2012Google Scholar
[WADOE] Washington State Department of Ecology (2012c) Technical information about Myriophyllum spicatum (Eurasian milfoil). http://www.ecy.wa.gov/programs/wq/plants/weeds/aqua004.html. Accessed June 15, 2012Google Scholar
[WDFW] Washington Department of Fish and Wildlife (2012) Fishing in Washington – 2012/2013 sportfishing rules pamphlet. Olympia, WA Washington Department of Fish and Wildlife. 140 pGoogle Scholar
[WISC] Washington Invasive Species Council (2012) Brazilian elodea. http://invasivespecies.wa.gov/priorities/brazilian_elodea.shtml. Accessed December 10, 2012Google Scholar
Woolf, TE, Madsen, JD (2003) Seasonal biomass and carbohydrate allocation patterns in southern Minnesota curlyleaf pondweed populations. J Aquat Plant Manage 41:113118 Google Scholar
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