Quantitative Developments
Quantitative Developments - ARMI Papers & Reports
Papers & Reports Informative priors can account for location uncertainty in stop-level analyses of the North American Breeding Bird Survey (BBS), allowing fine-scale ecological analyses
Authors: Ryan C Burner; Alan Kirschbaum; Jeffrey A. Hostetler; David J. Ziolkowski Jr; Nicholas M. Anich; Daniel Turek; Eli D. Striegel; Neal D. Niemuth
Date: 2024-09-14 | Outlet: Ornithological Applications
Ecologists can learn a lot about species by studying the precise locations in which they do (and do not) occur, but the location information associated with many species records is imprecise. A prominent example of this is the North American Breeding Bird Survey (BBS), in which volunteer observers have surveyed birds at points along consistent...
Papers & Reports Prioritizing the risk and management of introduced species in a landscape with high indigenous biodiversity
Authors: Jonathan Q Richmond; Jennifer Kingston; Brittany Ewing; Wendy Bear; Stacie A Hathaway; Cedric Lee; Camm C. Swift; Kristine L Preston; Allison J Schultz; Barbara E. Kus; Kerwin Russel; Philip Unitt; B Hollingsworth; Robert E Espinoza; Michael Wall; S Tremor; Kai Palenscar; Robert N Fisher
Date: 2023 | Outlet: Bulletin of the Southern California Academy of Sciences
Risk analysis protocols for prioritizing the management of non-native species are numerous, yet few incorporate risk and management in the same analysis or accommodate a broad diversity of taxa outside of a specific geographic area. We adapted a protocol that accounts for these factors to address non-native animal species in the Southern...
Papers & Reports Inferring pathogen presence when sample misclassification and partial observation occur
Authors: Evan HC Grant; Riley O Mummah; Brittany A Mosher; Jonah Evans; Graziella V DiRenzo
Date: 2023-04-11 | Outlet: Methods in Ecology and Evolution
1. Surveillance programs are essential for detecting emerging pathogens and often rely on molecular methods to make inference about the presence of a target disease agent. However, molecular methods rarely detect target DNA perfectly. For example, molecular pathogen detection methods can result in misclassification (i.e., false positives and false...
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