The art and science of weed mapping.
Land managers need cost-effective and informative tools for non-native plant species management. Many local, state, and federal agencies adopted mapping systems designed to collect comparable data for the early detection and monitoring of non-native species. We compared mapping information to statistically rigorous, plot-based methods to better understand the benefits and compatibility of the two techniques. Mapping non-native species locations provided a species list, associated species distributions, and infested area for subjectively selected survey sites. The value of this information may be compromised by crude estimates of cover and incomplete or biased estimations of species distributions. Incorporating plot-based assessments guided by a stratified-random sample design provided a less biased description of non-native species distributions and increased the comparability of data over time and across regions for the inventory, monitoring, and management of non-native and native plant species.
Barnett
David T
DT
Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, USA. barnett@nrel.colostate.edu
Stohlgren
Thomas J
TJ
Jarnevich
Catherine S
CS
Chong
Geneva W
GW
Ericson
Jenny A
JA
Davern
Tracy R
TR
Simonson
Sara E
SE
D004777:Environment; D005843:Geography; D008377:Maps as Topic; D010944:Plants / Q000145:classification*; D013997:Time Factors