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Comparison of Transect-Based Standard and Adaptive Sampling Methods for Invasive Plant Species

Published online by Cambridge University Press:  20 January 2017

Bruce D. Maxwell*
Affiliation:
Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59717
Vickie Backus
Affiliation:
Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59717
Matthew G. Hohmann
Affiliation:
Engineer Research and Development Center, Construction Engineering Research Laboratory, Champaign, IL 61826
Kathryn M. Irvine
Affiliation:
Department of Mathematical Sciences, Montana State University, Bozeman, MT 59717
Patrick Lawrence
Affiliation:
Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59717
Erik A. Lehnhoff
Affiliation:
Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59717
Lisa J Rew
Affiliation:
Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59717
*
Corresponding author's E-mail: [email protected]

Abstract

Early detection of an invading nonindigenous plant species (NIS) may be critical for efficient and effective management. Adaptive survey sampling methods may provide unbiased sampling for best estimates of distribution of rare and spatially clustered populations of plants in the early stages of invasion. However, there are few examples of these methods being used for nonnative plant surveys in which travelling distances away from an initial or source patch, or away from a road or trail, can be time consuming due to the topography and vegetation. Nor is there guidance as to which of the many adaptive methods would be most appropriate as a basis for invasive plant mapping and subsequent management. Here we used an empirical complete census of four invader species in early to middle stages of invasion in a management area to assess the effectiveness and efficiency of three nonadaptive methods, four adaptive cluster methods, and four adaptive web sampling methods that all originated from transects. The adaptive methods generally sampled more NIS-occupied cells and patches than standard transect approaches. Sampling along roads only was time-efficient and effective, but only for species with restricted distribution along the roads. When populations were more patchy and dispersed over the landscape the adaptive cluster starting at the road generally proved to be the most time-efficient and effective NIS detection method.

Type
Research Article
Copyright
Copyright © Weed Science Society of America 

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References

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