Optimal schedule for monitoring a plant incursion when detection and treatment success vary over time
2018
Bonneau, Mathieu | Hauser, Cindy E. | Williams, Nicholas S. G. | Cousens, Roger D. | Unité de Recherches Zootechniques (URZ) ; Institut National de la Recherche Agronomique (INRA) | School of Biosciences ; University of Birmingham [Birmingham] | School of Ecosystem and Forest Sciences ; University of Melbourne | University of Melbourne | This research was supported by an Australian Research Council Linkage Project (LP100100441). Cindy Hauser was additionally funded by the National Environmental Research Program Environmental Decisions Hub.
International audience
Mostrar más [+] Menos [-]Inglés. Abstract Management of an invasive plant species can be viewed as two separate and successive processes. The first, survey, aims to find infested areas and remove individuals. The second, monitoring, consists of repeated visits to these areas in order to prevent possible re-emergence. As detection probability may vary over time, the timing and number of monitoring visits can dramatically impact monitoring efficacy. We explore the optimal timing and number of monitoring visits, by focusing on one infested site. Our decision-analysis framework defines an optimal monitoring schedule which accounts for a time-dependent
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