Hostname: page-component-848d4c4894-jbqgn Total loading time: 0 Render date: 2024-06-16T07:06:55.286Z Has data issue: false hasContentIssue false
  • English
  • Français

Use of GIS to Prioritize Cogongrass (Imperata cylindrica) Control on Camp Shelby Joint Forces Training Center, Mississippi

Published online by Cambridge University Press:  20 January 2017

Lisa Y. Yager  and
Matt Smith
Lisa Y. Yager*
Affiliation:
Camp Shelby Field Office, The Nature Conservancy, Camp Shelby, MS 39407
Matt Smith
Affiliation:
Mississippi Museum of Natural Science, Mississippi Department of Wildlife, Fisheries, and Parks, 2148 Riverside Dr., Jackson, MS 39202
*
Corresponding author's E-mail: lisa.yager@mmns.state.ms.us
Get access Rights & Permissions [Opens in a new window]

Abstract

Geographic information systems (GIS) analysis considering size and spatial distribution of infestations of invasive species on a landbase can assist with developing appropriate control strategies for that species. We used GIS to evaluate strategies that placed highest priority on: smallest patches of cogongrass, largest patches of cogongrass, and cogongrass patches on land considered high-value under military training and conservation priorities on Camp Shelby Joint Forces Training Center (CSJFTC), MS. Strategies were first evaluated using predicted increase in area of new growth prevented, if prioritized patches were treated with herbicide. Travel and other time needed to implement strategies were then assessed as they affected total area treated. Assuming equivalent areas treated, predicted total reduction in area was consistently highest for the strategy prioritizing smallest patches and lowest for the strategy prioritizing largest patches. However, travel and other time was sufficiently reduced for the strategy prioritizing patches on high-value land compared to the other strategies to suggest that this strategy would result in the greatest reduction in area infested with cogongrass. Analyses of spatial distribution and size of infestations can assist land managers with selecting the appropriate strategy for controlling invasive species.

Keywords

Cogongrass, Imperata cylindrica (L.) BeauvGopher tortoiseinvasion modelslongleaf pine ecosystemmilitary training
Type
Case Study
Information
Invasive Plant Science and Management , Volume 2 , Issue 1 , January 2009 , pp. 74 - 82
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

Clarke, K. C. 2001. Getting Started with Geographic Information Systems. Upper Saddle River, NJ Prentice-Hall, Inc. 351.Google Scholar
ESRI 2006. Desktop ArcGIS. Release 9.2. Redlands, CA ArcGIS.Google Scholar
Jose, S., Cox, J., Miller, D. L., Shilling, D. G., and Merritt, S. 2002. Alien plant invasions: the story of cogongrass in southeastern forests. J. For 100:41–44.Google Scholar
Lippincott, C. L. 1997. Ecological Consequences of Imperata cylindrica (Cogongrass) Invasion in Florida Sandhill. Ph.D Dissertation. Gainesville, FL University of Florida. 165.Google Scholar
Lippincott, C. L. 2000. Effects of Imperata cylindrica (L.) Beauv. (Cogongrass) invasion on fire regime in Florida sandhill (USA). Nat. Areas J 20:140–149.Google Scholar
MacDonald, G. 2004. Cogongrass (Imperata cylindrica) - biology, ecology, and management. Crit. Rev. Plant Sci 23:367–380.Google Scholar
Moody, M. E. and Mack, R. N. 1988. Controlling the spread of plant invasions: the importance of nascent foci. J. Appl. Ecol 25:1009–1021.Google Scholar
NOWData–NOAA Online Weather Data 2006. NOWData-NOAA Online Weather Data. http://nowdata.rcc-acis.org/MOB/pubACIS_results. Accessed: November 27, 2006.Google Scholar
Platt, W. J. and Gottschalk, R. M. 2001. Effects of exotic grasses on potential fine fuel loads in the groundcover of south Florida slash pine savannas. Int. J. Wildland Fire 10:155–159.Google Scholar
Sokal, R. R. and Rohlf, F. J. 1995. Biometry. 3rd ed. New York W. H. Freeman. 887.Google Scholar
Tiede, D. and Lang, S. 2004. V-LATE 1.1 Vector-based Landscape Analysis Tools Extension. http://www.geo.sbg.ac.at/larg/vlate.htm. Accessed: November 11, 2007.Google Scholar
USDA Natural Resource Conservation Service 1999. Soil Survey of Perry County, Mississippi. Lincoln, NE USDA Natural Resource Conservation Service. 206.Google Scholar
USDA Soil Conservation Service and Forest Service 1979. Soil Survey of Forrest County, Mississippi. Lincoln, Nebraska 103.Google Scholar
Yager, L. Y. 2007. Watching the Grass Grow: Effects of Habitat Type, Patch Size, and Land Use on Cogongrass [Imperata cylindrica (L.) Beauv.] Spread on Camp Shelby Training Site, Mississippi. Ph.D Dissertation. Starkville, MS Mississippi State University. 194.Google Scholar
Yager, L. Y., Hinderliter, M. G., Heise, C. D., and Epperson, D. M. 2007. Gopher tortoise response to habitat management by prescribed burning. J. Wildl. Manag 71:428–434.CrossRefGoogle Scholar