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Point Mapping Integrates Data Collection and Weed Control Operations

Published online by Cambridge University Press:  27 April 2017

Craig C. Young ,
Jordan C. Bell ,
Chad S. Gross ,
Lloyd W. Morrison  and
Jennifer L. Haack-Gaynor
Craig C. Young*
Affiliation:
Terrestrial Program Leader, Project Manager, GIS Technician, Quantitative Ecologist, and GIS Specialist, National Park Service, Heartland Inventory and Monitoring Network/Exotic Plant Management Team, 6424 W. Farm Road 182, Republic, MO 65738
Jordan C. Bell
Affiliation:
Terrestrial Program Leader, Project Manager, GIS Technician, Quantitative Ecologist, and GIS Specialist, National Park Service, Heartland Inventory and Monitoring Network/Exotic Plant Management Team, 6424 W. Farm Road 182, Republic, MO 65738
Chad S. Gross
Affiliation:
Terrestrial Program Leader, Project Manager, GIS Technician, Quantitative Ecologist, and GIS Specialist, National Park Service, Heartland Inventory and Monitoring Network/Exotic Plant Management Team, 6424 W. Farm Road 182, Republic, MO 65738
Lloyd W. Morrison
Affiliation:
Terrestrial Program Leader, Project Manager, GIS Technician, Quantitative Ecologist, and GIS Specialist, National Park Service, Heartland Inventory and Monitoring Network/Exotic Plant Management Team, 6424 W. Farm Road 182, Republic, MO 65738
Jennifer L. Haack-Gaynor
Affiliation:
Terrestrial Program Leader, Project Manager, GIS Technician, Quantitative Ecologist, and GIS Specialist, National Park Service, Heartland Inventory and Monitoring Network/Exotic Plant Management Team, 6424 W. Farm Road 182, Republic, MO 65738
*
*Corresponding author’s E-mail: craig_young@nps.gov
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Abstract

In this case study, we evaluated a point-mapping method for simultaneously collecting data while controlling three invasive woody plant species: black locust, Chinese privet, and hardy orange. The study in Arkansas Post National Memorial included seven project areas ranging in size from 2.7 to 27.3 ha and spanned six field seasons (2010 to 2015). The control techniques varied depending on plant size and always included the application of herbicide, which also varied over the course of the study to include glyphosate, imazapyr, and triclopyr. Each person responsible for controlling plants simultaneously collected global positioning system point data to estimate the foliar cover of the plants treated. The resulting data demonstrated evidence of decreases in all three plant species in most project areas during the 6-yr period. Initial increases in area treated for some species–area combinations reflected differences in the preliminary efforts required to control invasive plants in entire project areas, but by 2012 six of seven project areas were treated in their entirety. Despite a high level of reduction, in some cases, the plants persisted at low levels even during the sixth year of the project. Our findings support the ability of this method to granularly detect changes in plant abundance while simultaneously controlling invasive plants. With several acknowledged limitations, this streamlined project-based monitoring approach provides data that allow managers to assess the effectiveness of weed control treatments.

Keywords

Glyphosateimazapyrtriclopyrblack locust, Robinia pseudoacacia L.Chinese privet, Ligustrum sinense Lour.hardy orange, Poncirus trifoliata (L.) Raf.Data collectioneffectiveness monitoringGPSinvasive plantspoint datapoint mappingweed mappingNAISMA
Type
Case Study
Information
Invasive Plant Science and Management , Volume 10 , Issue 1 , March 2017 , pp. 33 - 43
Copyright
© Weed Science Society of America, 2017 

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Footnotes

Associate Editor for this paper: Stephen F. Enloe, University of Florida.

References

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