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Quantifying the population response of invasive water hyacinth, Eichhornia crassipes, to biological control and winter weather in Louisiana, USA

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Abstract

Water hyacinth, Eichhornia crassipes, is an invasive, tropical, aquatic plant that has caused significant environmental and economic damage since its establishment in Louisiana, USA, in 1884. Both invasion control programs and freezing temperatures are known to negatively affect water hyacinth populations; however, the combined impact of these factors on water hyacinth population dynamics has not yet been quantified, thereby limiting the ability to isolate the effectiveness of biocontrol and other types of control under variable weather conditions. We built a seasonal logistic population model that included time-varying intrinsic growth and overwinter mortality parameters which were estimated by fitting the model to vegetation survey data. We estimated that annual overwinter mortality rates declined from a peak of 71 % in 1977 to the time series low of 11 % in the winter of 1992, followed by an average of 28 % per year from 1993 to 2013. After accounting for the magnitude and trend of overwinter dieback events, our model predicted that the intrinsic growth rate of the Louisiana water hyacinth population declined by 84 % between 1976 and 2013. Despite higher average winter temperatures in recent decades, the population has not rebounded. Our study reveals the dramatic effectiveness of Louisiana’s biological control program to successfully suppress water hyacinth invasion.

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References

  • Bock JH (1969) Productivity of the water hyacinth Eichhornia crassipes (Mart.) Solms. Ecology 50:460–464

    Article  Google Scholar 

  • Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach. Springer, New York

    Google Scholar 

  • Center TD, Cofrancesco AF, Balciunas JK (1988) Biological control of aquatic and wetland weeds in the southeastern United States. In: Proceedings of the VII international symposium on biological of weeds, 1988, pp 239–262

  • Chang Y, Brodziak J, O’Malley J, Lee H, DiNardo G, Sun C (2015) Model selection and multi-model inference for Bayesian surplus production models: a case study for Pacific blue and striped marlin. Fish Res 166:129–139

    Article  CAS  Google Scholar 

  • Cofrancesco A, Stewart R, Sanders D (1985) Impact of Neochetina eichhorniae (Coleoptera: Curculionidae) on waterhyacinth in Louisiana. In: Delfosse ES (ed) Proceedings of the VI international symposium on biological control of weeds, 1985. Agriculture Canada, Ottawa

  • Deroba JJ, Schueller AM (2013) Performance of stock assessments with misspecified age-and time-varying natural mortality. Fish Res 146:27–40

    Article  Google Scholar 

  • Francis CR, Hurst RJ, Renwick JA (2003) Quantifying annual variation in catchability for commercial and research fishing. Fish Bull 101:293–304

    Google Scholar 

  • Fu C, Quinn TJ II (2000) Estimability of natural mortality and other population parameters in a length-based model: Pandalus borealis in Kachemak Bay, Alaska. Can J Fish Aquat Sci 57:2420–2432

    Article  Google Scholar 

  • Gotelli NJ (1995) A primer of ecology. Sinauer Associates Incorporated, Sunderland

    Google Scholar 

  • Goyer RA, Stark JD (1984) The impact of Neochetina eichhorniae on waterhyacinth in southern Louisiana. J Aquat Plant Manag 22:57–61

    Google Scholar 

  • Holm L, Weldon L, Blackburn R (1969) Aquatic weeds. Science 166:699–709

    Article  CAS  PubMed  Google Scholar 

  • Jiao Y, Smith EP, O’Reilly R, Orth DJ (2012) Modelling non-stationary natural mortality in catch-at-age models. ICES J Mar Sci 69:105–118

    Article  Google Scholar 

  • Johnson KF et al (2015) Time-varying natural mortality in fisheries stock assessment models: identifying a default approach. ICES J Mar Sci 72:137–150

    Article  Google Scholar 

  • Kilgen RH (1978) Growth of channel catfish and striped bass in small ponds stocked with grass carp and water hyacinths. Trans Am Fish Soc 107:176–180

    Article  Google Scholar 

  • Linton BC, Bence JR (2011) Catch-at-age assessment in the face of time-varying selectivity. ICES J Mar Sci 68:611–625

    Article  Google Scholar 

  • Madsen JD, Luu KT, Getsinger KD (1993) Allocation of biomass and carbohydrates in waterhyacinth (Eichhornia crassipes): pond-scale verification. US Army Corps of Engineers Waterways Experiment Station Vicksburg, Missouri

    Google Scholar 

  • Manning JH (1979) Establishment of water hyacinth weevil populations in Louisiana. J Aquat Plant Manag 17:39–41

    Google Scholar 

  • Nesslage GM, Wilberg MJ (2012) Performance of surplus production models with time-varying parameters for assessing multispecies assemblages. N Am J Fish Manag 32:1137–1145

    Article  Google Scholar 

  • Owens CS, Madsen JD (1995) Low temperature limits of water hyacinth. J Aquat Plant Manag 33:63–68

    Google Scholar 

  • Penfound WT, Earle TT (1948) The biology of the water hyacinth. Ecol Monogr 18:447–472

    Article  Google Scholar 

  • Prager M (1994) A suite of extensions to a nonequilibrium surplus-production model. Fish Bull 92:374–389

    Google Scholar 

  • Schirripa MJ, Goodyear CP, Methot RM (2009) Testing different methods of incorporating climate data into the assessment of US West Coast sablefish. ICES J Mar Sci 66:1605–1613

    Article  Google Scholar 

  • Wilberg MJ, Bence JR (2006) Performance of time-varying catchability estimators in statistical catch-at-age analysis. Can J Fish Aquat Sci 63:2275–2285

    Article  Google Scholar 

  • Wilberg MJ, Thorson JT, Linton BC, Berkson J (2009) Incorporating time-varying catchability into population dynamic stock assessment models. Rev Fish Sci 18:7–24

    Article  Google Scholar 

  • Wilson JR, Holst N, Rees M (2005) Determinants and patterns of population growth in water hyacinth. Aquat Bot 81:51–67

    Article  Google Scholar 

Download references

Acknowledgments

We thank Alexander Perret, Michael Harden, and Richard Brassette (ret.) of LDWF for providing vegetation survey data and information about Louisiana’s water hyacinth control program. We also thank Anna McMurray for assistance in compiling the data, and Michael Wilberg and Dong Liang for constructive modeling discussions. Funding was provided by the US Army Corps of Engineers Aquatic Plant Control Research Program, under management of Dr. Linda Nelson. This is contribution number 5184 of the University of Maryland Center for Environmental Science.

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Correspondence to Geneviève M. Nesslage.

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Nesslage, G.M., Wainger, L.A., Harms, N.E. et al. Quantifying the population response of invasive water hyacinth, Eichhornia crassipes, to biological control and winter weather in Louisiana, USA. Biol Invasions 18, 2107–2115 (2016). https://doi.org/10.1007/s10530-016-1155-9

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  • DOI: https://doi.org/10.1007/s10530-016-1155-9

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