The art and science of weed mapping

被引:29
作者
Barnett, David T. [1 ]
Stohlgren, Thomas J.
Jarnevich, Catherine S.
Chong, Geneva W.
Ericson, Jenny A.
Davern, Tracy R.
Simonson, Sara E.
机构
[1] Colorado State Univ, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA
[2] US Geol Survey, Ft Collins Sci Ctr, Natl Inst Invas Species Sci, Ft Collins, CO 80526 USA
[3] US Geol Survey, No Rockey Mt Sci Ctr, Bozeman, MT 59717 USA
[4] US Fish & Wildlife Serv, Natl Wildlife Refuge Syst, Natl Invas Species Program, Arlington, VA 22203 USA
关键词
invasive species; non-native species; mapping; inventory; monitoring;
D O I
10.1007/s10661-006-9530-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:235 / 252
页数:18
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