Tracking the outbreak: an optimized sequential adaptive strategy for Xylella fastidiosa delimiting surveys
| Autor: | Antonio López-Quílez, M. Sesé, David Conesa, Antonio Vicent, Vicente Dalmau, Elena Lázaro, Amparo Ferrer |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Survey design
0106 biological sciences Adaptive strategies Almond leaf scorch Bayesian spatial statistics Adaptive sampling Sequential sampling Biology computer.software_genre 010603 evolutionary biology 01 natural sciences Health legislation H20 Plant diseases Ecology Evolution Behavior and Systematics Ecology Simulation-based optimization methods Outbreak Sampling (statistics) Survey research biology.organism_classification Disease control Data mining Xylella fastidiosa computer 010606 plant biology & botany |
| Zdroj: | electronico ReDivia. Repositorio Digital del Instituto Valenciano de Investigaciones Agrarias instname Biological Invasions ReDivia: Repositorio Digital del Instituto Valenciano de Investigaciones Agrarias Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| ISSN: | 1573-1464 1387-3547 |
| Popis: | The EU plant health legislation enforces the implementation of intensive surveillance programs for quarantine pests. After an outbreak, surveys are implemented to delimit the extent of the infested zone and to manage disease control. Surveillance in agricultural and natural environments can be enhanced by increasing the survey efforts. Budget constraints often limit inspection and sampling intensities, thus making it necessary to adapt and optimize surveillance strategies. A sequential adaptive delimiting survey involving a three-phase and a two-phase design with increasing spatial resolution was developed and implemented for the Xylella fastidiosa demarcated area in Alicante, Spain. Inspection and sampling intensities were optimized using simulation-based methods. Sampling intensity thresholds were evaluated by quantifying their effect on the estimation of X. fastidiosa incidence. This strategy made it possible to sequence inspection and sampling taking into account increasing spatial resolutions, and to adapt the inspection and sampling intensities according to the information obtained in the previous, coarser, spatial resolution. The proposed strategy was able to efficiently delimit the extent of Xylella fastidiosa, while improving on the efficiency and maintaining the efficacy of the official survey campaign. From a methodological perspective, our approach provides new insights into alternative delimiting designs and new reference sampling intensity values |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink