Risk of out-of-state (out-of-province) locations to be the source of forest pests transported in firewood carried by campers. The risk rank values are based on the delineation of nested non-dominant sets via the first-degree stochastic dominance rule (FSD). The ranks close to 1.0 denote the highest risk of pest arrival and the ranks close to 0 denote the lowest risk. (doi: 10.3897/neobiota.18.4002.app1) File format: Adobe PDF File (pdf).
Most modes of human-mediated dispersal of invasive species are directional and vector-based. Classic...
Supplementary materials Sheet 1: summary of elicited values from experts (individual values not sho...
Statistics for Table 2. Statistical tests of proportions out of all species among feeding types for ...
Summary of differences between risk rank classes, 0–0.05, 0.05–0.25, 0.25–0.5, 0.5–0.75, 0.75–0.95 a...
Pest risk maps are important decision support tools when devising strategies to minimize introductio...
Pest risk maps are important decision support tools when devising strategies to minimize introductio...
Variogram of the residuals of the random forest model : Explanation note: A variogram design...
Risk maps for all eight study species.: Explanation note: Risk maps for all eight study species deri...
Supplementary material : Explanation note: Table S1. Summary of evidence for fall armyworm d...
Risk mapping techniques play a critical role in pest risk analysis (PRA), helping to identify areas ...
Predicting which species are more likely to invade a region presents significant difficulties to res...
Pest risk maps can provide useful decision support in invasive species management, but most do not a...
Check for sampling bias.: Explanation note: We checked our dataset for sampling bias, that is the di...
How the Risk Analysis Framework covers Section 6, Regulation 14-17, in the NEM:BA A&IS Regulations o...
Figure S2. Distributions of anthropogenic predictor variables used in Cox proportional hazards moder...
Most modes of human-mediated dispersal of invasive species are directional and vector-based. Classic...
Supplementary materials Sheet 1: summary of elicited values from experts (individual values not sho...
Statistics for Table 2. Statistical tests of proportions out of all species among feeding types for ...
Summary of differences between risk rank classes, 0–0.05, 0.05–0.25, 0.25–0.5, 0.5–0.75, 0.75–0.95 a...
Pest risk maps are important decision support tools when devising strategies to minimize introductio...
Pest risk maps are important decision support tools when devising strategies to minimize introductio...
Variogram of the residuals of the random forest model : Explanation note: A variogram design...
Risk maps for all eight study species.: Explanation note: Risk maps for all eight study species deri...
Supplementary material : Explanation note: Table S1. Summary of evidence for fall armyworm d...
Risk mapping techniques play a critical role in pest risk analysis (PRA), helping to identify areas ...
Predicting which species are more likely to invade a region presents significant difficulties to res...
Pest risk maps can provide useful decision support in invasive species management, but most do not a...
Check for sampling bias.: Explanation note: We checked our dataset for sampling bias, that is the di...
How the Risk Analysis Framework covers Section 6, Regulation 14-17, in the NEM:BA A&IS Regulations o...
Figure S2. Distributions of anthropogenic predictor variables used in Cox proportional hazards moder...
Most modes of human-mediated dispersal of invasive species are directional and vector-based. Classic...
Supplementary materials Sheet 1: summary of elicited values from experts (individual values not sho...
Statistics for Table 2. Statistical tests of proportions out of all species among feeding types for ...