caa a22 4500 463168569 CHVBK 20180406164806.0 cr unu---uuuuu 170326e20070701xx s 000 0 eng 10.1007/s10530-006-9057-x doi (NATIONALLICENCE)springer-10.1007/s10530-006-9057-x Hierarchical Bayesian methods estimate invasive weed impacts at pertinent spatial scales [Elektronische Daten] [Matthew Rinella, Edward Luschei] Invasive weed impact estimates are needed to determine whether or not weeds warrant costly control measures. Typically, land managers seek local weed impact estimates (e.g. ranches, parks) and policy-makers want to know how weeds are impacting entire regions. Our goal was to provide local and regional impact estimates for a ubiquitous invasive weed: leafy spurge (Euphorbia esula L.). The specific impacts we looked at related to desired species biomass production, livestock carrying capacities, and grazing land values. Our basic approach was to use an empirical model that characterizes weed biomass across the landscape in combination with another empirical model that predicts weed impact from weed biomass. Our investigation revealed that, without on-site plant biomass data, site-specific leafy spurge impacts are highly uncertain. Supplementing our general predictive model with small quantities of on-site data increased precision considerably. For the 17-state region we considered, 95% Bayesian credibility intervals indicated leafy spurge reduces cattle carrying capacities by 50-217thousand animals a year and reduces grazing land values by 8-34million dollars a year. Additional plant biomass data from randomly selected, leafy spurge-infested sites would shrink these fairly wide intervals. Springer Science+Business Media, Inc., 2006 Competition nationallicence Forage nationallicence Grassland nationallicence Impact assessment nationallicence Livestock nationallicence Model nationallicence Parameter estimation nationallicence Rangeland nationallicence Uncertainty nationallicence Weed management nationallicence Rinella Matthew USDA-ARS, Livestock and Range Research Laboratory, 243 Fort Keogh Road, 59301-4016, Miles City, MT, USA aut Luschei Edward Department of Agronomy, University of Wisconsin, 1575 Linden Drive, 53706, Madison, WI, USA aut Biological Invasions Kluwer Academic Publishers 9/5(2007-07-01), 545-558 1387-3547 9:5<545 2007 9 10530 https://doi.org/10.1007/s10530-006-9057-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10530-006-9057-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Rinella Matthew USDA-ARS, Livestock and Range Research Laboratory, 243 Fort Keogh Road, 59301-4016, Miles City, MT, USA aut NATIONALLICENCE 700 1- Luschei Edward Department of Agronomy, University of Wisconsin, 1575 Linden Drive, 53706, Madison, WI, USA aut NATIONALLICENCE 773 0- Biological Invasions Kluwer Academic Publishers 9/5(2007-07-01), 545-558 1387-3547 9:5<545 2007 9 10530 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer