Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-05T15:49:17.380Z Has data issue: false hasContentIssue false
  • English
  • Français

Predicting Potential Occurrence and Spread of Invasive Plant Species along the North Platte River, Nebraska

Published online by Cambridge University Press:  20 January 2017

Justin D. Hoffman ,
Sunil Narumalani ,
Deepak R. Mishra ,
Paul Merani  and
Robert G. Wilson
Justin D. Hoffman*
Affiliation:
School of Natural Resources, University of Nebraska–Lincoln, Lincoln, NE 68583
Sunil Narumalani
Affiliation:
School of Natural Resources, University of Nebraska–Lincoln, Lincoln, NE 68583
Deepak R. Mishra
Affiliation:
Pontchartrain Institute for Environmental Sciences, Earth and Environmental Sciences, University of New Orleans, New Orleans, LA 70148
Paul Merani
Affiliation:
Department of Anthropology and Geography, University of Nebraska–Lincoln, Lincoln, NE 68588
Robert G. Wilson
Affiliation:
University of Nebraska–Lincoln Panhandle Research and Extension Center, University of Nebraska–Lincoln, Scottsbluff, NE 69361
*
Corresponding author's E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Riparian habitats are important components of an ecosystem; however, their hydrology combined with anthropogenic effects facilitates the establishment and spread of invasive plant species. We used a maximum-entropy predictive habitat model, MAXENT, to predict the distributions of five invasive plant species (Canada thistle, musk thistle, Russian olive, phragmites, and saltcedar) along the North Platte River in Nebraska. Projections for each species were highly accurate. Elevation and distance from river were most important variables for each species. Saltcedar and phragmites appear to have restricted distributions in the study area, whereas Russian olive and thistle species were broadly distributed. Results from this study hold promise for the development of proactive management approaches to identify and control areas of high abundance and prevent further spread of invasive plants along the North Platte River.

Keywords

Canada thistle, Cirsium arvense (L.) Scopcommon reed, Phragmites australis (Cav.) Trin. ex Steudmusk thistle, Carduus nutans L.saltcedar, Tamarix sp. L.Russian olive, Elaeagnus angustifolia L.Invasive speciespredictive habitat modelingNorth Platte RiverMAXENTriparian habitat
Type
Research
Information
Invasive Plant Science and Management , Volume 1 , Issue 4 , October 2008 , pp. 359 - 367
Copyright
Copyright © Weed Science Society of America 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Literature Cited

Austin, M. P. 2007. Species distribution models and ecological theory: A critical assessment and some possible new approaches. Ecol. Model 200:1–19.Google Scholar
Borell, A. E. 1971. Russian olive for wildlife and other conservation uses U.S. Department of Agriculture Leaflet 517. 8 p.Google Scholar
Bovey, R. W. 1965. Control of Russian olive by aerial applications of herbicides. J. Range Manag 18:194–195.Google Scholar
Brock, J. H. 1994. Tamarix spp. (salt cedar), an invasive exotic woody plant in arid and semi-arid riparian habitats of western USA. Pages 27–44. in de Waal, L. C., Child, L. E., Wade, P. M., and Brock, J. H., editors. Ecology and Management of Invasive Riverside Plants. New York, NY J. Wiley.Google Scholar
Brotons, L., Thuiller, W., Araújo, M. B., and Hirzel, A. H. 2004. Presence–absence versus presence-only modelling methods for predicting bird habitat suitability. Ecography 27:437–448.Google Scholar
Busby, J. R. 1986. A biogeographical analysis of Nothofagus cunninghamii (Hook.) Oerst. in southeastern Australia. Aust. J. Ecol 11:1–7.CrossRefGoogle Scholar
Campbell, C. J. and Dick-Peddie, W. A. 1964. Comparison of phreatophyte communities on the Rio Grande in New Mexico. Ecology 45:492–502.Google Scholar
Carmean, W. H. 1976. Soil conditions affect growth of hardwoods in shelterbelts. St. Paul, MN U.S. Department of Agriculture Forest Service, North Central Forest Experiment Station. Research Note NC-204.Google Scholar
Carpenter, G., Gillison, A. N., and Winter, J. 1993. DOMAIN: a flexible modeling procedure for mapping potential distributions of plants, animals. Biodivers. Conserv 2:667–680.Google Scholar
Christensen, E. M. 1963. Naturalization of Russian olive (Elaeagnus angustifolia L.) in Utah. Am. Midl. Nat 70:133–137.Google Scholar
DiTomaso, J. M. 1998. Impact, biology, and ecology of saltcedar (Tamarix spp.) in the southwestern United States. Weed Tech 12:326–336.CrossRefGoogle Scholar
Elith, J. 2000. Quantitative methods for modeling species habitat: comparative performance and an application to Australian plants. Pages 39–58. in Ferson, S. and Burgman, M., editors. Quantitative Methods for Conservation Biology. New York Springer.Google Scholar
Elith, J., Graham, C. H., Anderson, R. P., et al. 2006. Novel methods improve prediction of species' distributions from occurrence data. Ecography 29:129–151.Google Scholar
Guisan, A., Graham, C. H., Elith, J., and Huettmann, F. 2007. NCEAS Species Distribution Modelling Group Sensitivity of predictive species distribution models to change in grain size. Divers. Distrib 13:332–340.Google Scholar
Hancock, C. N., Ladd, P. G., and Froend, R. H. 1996. Biodiversity and management of riparian vegetation in western Australia. Forest Ecol. Manag 85:239–250.Google Scholar
Hanley, J. A. and McNeil, B. J. 1982. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143:29–36.Google Scholar
Hernandez, P. A., Graham, C. H., Master, L. L., and Albert, D. L. 2006. The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 29:773–785.Google Scholar
Hirzel, A. H., Hausser, J., Chessel, D., and Perrin, N. 2002. Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data. Ecology 87:2027–2036.Google Scholar
Hirzel, A. H., Helfer, V., and Metral, F. 2001. Assessing habitat-suitability models with a virtual species. Ecol. Model 145:111–121.Google Scholar
Hood, W. G. and Naiman, R. J. 2000. Vulnerability of riparian zones to invasion by exotic vascular plants. Plant Ecol 148:105–114.Google Scholar
Howe, W. H. and Knopf, F. L. 1991. On the imminent decline of Rio Grande cottonwoods in central New Mexico. Southwest. Nat 36:218–224.Google Scholar
Iguchi, K., Matsuura, K., McNyset, K., Peterson, A. T., Scachetti-Pereira, R., Vieglais, D. A., Wiley, E. O., and Yodo, T. 2004. Predicting invasions of North American basses in Japan using native range data and a genetic algorithm. Trans. Am. Fish. Soc 133:845–854.Google Scholar
Jansson, R., Nilsson, C., Dynesius, M., and Andersson, E. 2000. Effects of river regulation on river-margin vegetation: a comparison of eight boreal rivers. Ecol. Appl 10:203–224.Google Scholar
Johnson, W. C. 1994. Woodland expansion in the Platte River, Nebraska: patterns and causes. Ecol. Monogr 64:45–84.Google Scholar
Katz, G. L. and Shafroth, P. B. 2003. Biology, ecology and management of Elaeagnus angustifolia L. (Russian olive) in western North America. Wetlands 23:763–777.Google Scholar
Kaul, R. B., Sutherland, D. M., and Rolfsmeier, S. B. 2006. The Flora of Nebraska. Lincoln, NE School of Natural Resources, University of Nebraska-Lincoln.Google Scholar
Knopf, F. L. and Olson, T. E. 1984. Naturalization of Russian-olive: implications to rocky mountain wildlife. Wildl. Soc. Bull 12:289–298.Google Scholar
Marks, M., Lapin, B., and Randall, J. 1994. Phragmites australis (P. communis): threats, management, and monitoring. Nat. Areas J 14:285–294.Google Scholar
McDonald, P. M. and Sidle, J. G. 1992. Habitat changes above and below water projects on the North Platte and South Platte rivers in Nebraska. Prairie Nat 24:149–158.Google Scholar
Morisette, J. T., Jarnevich, C. S., Ullah, A., Cai, W., Pedelty, J. A., Gentle, J. E., Stohlgren, T. J., and Schnase, J. L. 2006. A tamarisk habitat suitability map for the continental United States. Front. Ecol. Environ 4:11–17.Google Scholar
Naiman, R. J., Décamps, H., and Pollock, M. 1993. The role of riparian corridors in maintaining regional biodiversity. Ecol. Appl 3:209–212.CrossRefGoogle ScholarPubMed
Nebraska Weed Control Association 2007. The Nebraska Weed Control Association. Accessed: October 21, 2008.Google Scholar
Nilsson, C. and Svedmark, M. 2002. Basic principles and ecological consequences of changing water regimes: riparian plant communities. Environ. Manag 30:468–480.Google Scholar
Olson, T. E. and Knopf, F. L. 1986. Naturalization of Russian olive in the western United States. West. J. Appl. For 1:65–69.Google Scholar
Patten, D. T. 1998. Riparian ecosystems of semi-arid North America: diversity and human impacts. Wetlands 18:498–512.Google Scholar
Pearce, C. M. and Smith, D. G. 2003. Saltcedar: distribution, abundance, and dispersal mechanisms, northern Montana, USA. Wetlands 23:215–228.Google Scholar
Pearce, J. and Ferrier, S. 2000. Evaluating the predictive performance of habitat models developed using logistic regression. Ecol. Model 133:225–245.Google Scholar
Pearson, R. G., Raxworthy, C. J., Nakamura, M., and Peterson, A. T. 2007. Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. J. Biogeog 34:102–117.Google Scholar
Peterson, A. T., Papes, M., and Kluza, D. A. 2003. Predicting the potential invasive distributions of four alien plant species in North America. Weed Sci 51:863–868.Google Scholar
Peterson, A. T. and Vieglais, D. A. 2001. Predicting species invasions using ecological niche modeling. Bioscience 51:363–371.Google Scholar
Phillips, S. J., Anderson, R. P., and Schapire, R. E. 2006. Maximum entropy modeling of species geographic distributions. Ecol. Model 190:231–259.Google Scholar
Planty-Tabacchi, A. M., Tabacchi, E., Naiman, R. J., Deferrari, C., and Decamps, H. 1996. Invisibility of species rich communities in riparian zones. Conserv. Biol 10:598–607.Google Scholar
Pyšek, P. and Prach, P. 1993. Plant invasions and the role of riparian habitats—a comparison of four species alien to Central Europe. J. Biogeogr 20:413–420.CrossRefGoogle Scholar
Pyšek, P. and Prach, P. 1994. How important are rivers for supporting plant invasions. Pages 19–26. in de Waal, L. C., Child, L. E., Wade, P. M., and Brock, J. H., editors. Ecology and management of invasive riverside plants. New York J. Wiley.Google Scholar
Richardson, D. M., Holmes, P. M., Esler, K. J., Galatowitsch, S. M., Stromberg, J. C., Kirkman, S. P., Pyšek, P., and Hobbs, R. J. 2007. Riparian vegetation: degradation, alien plant invasions, and restoration prospects. Divers. Distrib 13:126–139.Google Scholar
Roeth, F., Melvin, S., and Schleufer, I. 2003. Noxious weeds of Nebraska: musk thistle University of Nebraska Cooperative Extension EC03-176-S. 1–6.Google Scholar
Roman, C. T., Niering, W. A., and Warren, R. S. 1984. Salt marsh vegetation change in response to tidal restriction. Environ. Manag 8:141–150.Google Scholar
Saltonstall, K. 2002. Cryptic invasion by a non-native genotype of the common reed, Phragmites australis, into North America. Proc. Natl. Acad. Sci. U. S. A. 99:2445–2449.CrossRefGoogle ScholarPubMed
Segurado, P. and Araújo, M. B. 2004. An evaluation of methods for modelling species distributions. J. Biogeogr 31:1555–1568.CrossRefGoogle Scholar
Shafroth, P. B., Cleverly, J. R., Dudley, T. L., Taylor, J. P., Van Riper, C., Weeks, E. P., and Stuart, J. N. 2005. Control of Tamarix in the western United States: implication for water salvage, wildlife use, and riparian restoration. Environ. Manag 35:231–246.Google Scholar
Shafroth, P. B., Stromberg, J. C., and Patten, D. T. 2002. Riparian vegetation response to altered disturbance and stress regimes. Ecol. Appl 12:107–123.Google Scholar
Sidle, J. G., Miller, E. D., and Currier, P. J. 1989. Changing habitats in the Platte River Valley of Nebraska. Prairie Nat 21:91–104.Google Scholar
Stockwell, D. and Peters, D. 1999. The GARP modeling system: problems and solutions to automated spatial prediction. Intl. J. Geogr. Inf. Sci 13:148–158.Google Scholar
Stromberg, J. C., Tiller, R., and Richter, B. 1996. Effects of groundwater decline on riparian vegetation of semiarid regions: the San Pedro, Arizona. Ecol. Appl 6:113–131.Google Scholar
Thébaud, C. and Debussche, M. 1991. Rapid invasion of Fraxinus ornus L. along the Herault River system in southern France—the importance of seed dispersal by water. J. Biogeogr 18:7–12.Google Scholar
U.S. Bureau of Reclamation 1982. Water Use and Management in the Upper Platte River Basin in Colorado–Wyoming–Nebraska. Washington, DC U.S. Department of the Interior.Google Scholar
U.S. Department of Agriculture Natural Resources Conservation Service 2007. Soil Data Viewer. http://soildataviewer.nrcs.usda.gov/. Accessed: October 21, 2008.Google Scholar
Wilson, R. 2003. Noxious Weeds of Nebraska: Musk Thistle University of Nebraska Cooperative Extention, EC02-171-S. 1–6.Google Scholar
Wilson, R. and Knezevic, S. 2006. Noxious Weeds of Nebraska: Saltcedar University of Nebraska Cooperative Extention, EC164. 1–6.Google Scholar
Zaniewski, A. E., Lehmann, A., and Overton, J. M. 2002. Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns. Ecol. Model 157:261–280.Google Scholar
Zavaleta, E. 2000. The economic value of controlling an invasive shrub. Ambio 29:462–467.Google Scholar
Zhang, Y. 1981. A preliminary study on the eco-physiological characteristics of Elaeagnus angustifolia L. in Min-Qin region of Gansu Province. Acta Bot. Sin 23:393–400.Google Scholar