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Tracking the outbreak. An optimized delimiting survey strategy for Xylella fastidiosa
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/joc.5086openalex-snapshot
WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas
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Bayesian image restoration, with two applications in spatial statistics
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Species distribution modeling: a statistical review with focus in spatio-temporal issues
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Using delimiting surveys to characterize the spatiotemporal dynamics facilitates the management of an invasive non‐native insect
inferredcites →https://doi.org/10.1007/s10479-017-2670-5openalex-snapshot
A review of operations research models in invasive species management: state of the art, challenges, and future directions
inferredcites →https://doi.org/10.1007/s10658-016-0894-xopenalex-snapshot
Intercepted isolates of Xylella fastidiosa in Europe reveal novel genetic diversity
inferredcites →https://doi.org/10.1007/s10658-018-1435-6openalex-snapshot
Spatial and climatic factors associated with the geographical distribution of citrus black spot disease in South Africa. A Bayesian latent Gaussian model approach
inferredcites →https://doi.org/10.1007/s10658-019-01736-9openalex-snapshot
A new variant of Xylella fastidiosa subspecies multiplex detected in different host plants in the recently emerged outbreak in the region of Tuscany, Italy
inferredcites →https://doi.org/10.1007/s11222-013-9416-2openalex-snapshot
Understanding predictive information criteria for Bayesian models
inferredcites →https://doi.org/10.1016/j.ecolecon.2015.04.014openalex-snapshot
Benefits of invasion prevention: Effect of time lags, spread rates, and damage persistence
inferredcites →https://doi.org/10.1016/j.ecolecon.2016.11.018openalex-snapshot
Robust Surveillance and Control of Invasive Species Using a Scenario Optimization Approach
inferredcites →https://doi.org/10.1016/j.matcom.2012.09.008openalex-snapshot
Adaptive survey designs for sampling rare and clustered populations
inferredcites →https://doi.org/10.1038/s41598-019-45365-yopenalex-snapshot
Xylella fastidiosa: climate suitability of European continent
inferredcites →https://doi.org/10.1078/0723-2020-00263openalex-snapshot
Xylella fastidiosa subspecies: X. fastidiosa subsp piercei, subsp. nov., X. fastidiosa subsp. multiplex subsp. nov., and X. fastidiosa subsp. pauca subsp. nov.
inferredcites →https://doi.org/10.1094/9780890545058openalex-snapshot
The Study of Plant Disease Epidemics
inferredcites →https://doi.org/10.1094/phyto-09-18-0328-aopenalex-snapshot
Draft Genome Resources of Two Strains (“ESVL” and “IVIA5901”) of Xylella fastidiosa Associated with Almond Leaf Scorch Disease in Alicante, Spain
inferredcites →https://doi.org/10.1099/00207713-37-2-136openalex-snapshot
Xylella fastidiosa gen. nov., sp. nov: Gram-Negative, Xylem-Limited, Fastidious Plant Bacteria Related to Xanthomonas spp.
inferredcites →https://doi.org/10.1099/ijsem.0.001426openalex-snapshot
Xylella taiwanensis sp. nov., causing pear leaf scorch disease
inferredcites →https://doi.org/10.1111/2041-210x.12499openalex-snapshot
Occupancy estimation for rare species using a spatially‐adaptive sampling design
inferredcites →https://doi.org/10.1111/2041-210x.12564openalex-snapshot
Optimizing ecological survey effort over space and time
inferredcites →https://doi.org/10.1111/ddi.12065openalex-snapshot
Model‐based search strategies for plant diseases: a case study using citrus canker ( X anthomonas citri)
inferredcites →https://doi.org/10.1111/ddi.12388openalex-snapshot
Practicable methods for delimiting a plant invasion
inferredcites →https://doi.org/10.1111/j.1365-2338.2009.02361.xopenalex-snapshot
Survey on the use of tests mentioned in EPPO diagnostic protocols
inferredcites →https://doi.org/10.1111/j.1467-9868.2008.00700.xopenalex-snapshot
Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
inferredcites →https://doi.org/10.1111/j.2007.0906-7590.05171.xopenalex-snapshot
Methods to account for spatial autocorrelation in the analysis of species distributional data: a review
inferredcites →https://doi.org/10.1111/j.2517-6161.1974.tb00999.xopenalex-snapshot
Spatial Interaction and the Statistical Analysis of Lattice Systems
inferredcites →https://doi.org/10.1111/jen.12365openalex-snapshot
Transmission of Xylella fastidiosa by naturally infected Philaenus spumarius (Hemiptera, Aphrophoridae) to different host plants
inferredcites →https://doi.org/10.1111/ppa.12695openalex-snapshot
Several subspecies and sequence types are associated with the emergence of Xylella fastidiosa in natural settings in France
inferredcites →https://doi.org/10.1146/annurev-statistics-060116-054045openalex-snapshot
Bayesian Computing with INLA: A Review
inferredcites →https://doi.org/10.1201/b17115openalex-snapshot
Hierarchical Modeling and Analysis for Spatial Data
inferredcites →https://doi.org/10.1371/journal.pone.0112463openalex-snapshot
The Complex Biogeography of the Plant Pathogen Xylella fastidiosa: Genetic Evidence of Introductions and Subspecific Introgression in Central America
inferredcites →https://doi.org/10.1371/journal.pone.0181482openalex-snapshot
A safety rule approach to surveillance and eradication of biological invasions
inferredcites →https://doi.org/10.14601/phytopathol_mediterr-12647openalex-snapshot
Isolation and pathogenicity of Xylella fastidiosa from grapevine and almond in Iran
inferredcites →https://doi.org/10.14601/phytopathol_mediterr-16429openalex-snapshot
Potential distribution of Xylella fastidiosa in Italy: a maximum entropy model
inferredcites →https://doi.org/10.1603/0013-8746(2005)098[0775:vtoxfa]2.0.co;2openalex-snapshot
Vector Transmission of Xylella fastidiosa: Applying Fundamental Knowledge to Generate Disease Management Strategies
inferredcites →https://doi.org/10.1603/ec14142openalex-snapshot
Infectivity and Transmission of Xylella fastidiosa by Philaenus spumarius (Hemiptera: Aphrophoridae) in Apulia, Italy
inferredcites →https://doi.org/10.1890/04-0608openalex-snapshot
MODEL-BASED STRATIFICATIONS FOR ENHANCING THE DETECTION OF RARE ECOLOGICAL EVENTS
inferredcites →https://doi.org/10.1890/04-0609openalex-snapshot
Building Statistical Models To Analyze Species Distributions
inferredcites →https://doi.org/10.1890/12-0564.1openalex-snapshot
Spatial occupancy models for large data sets
inferredcites →https://doi.org/10.21138/bage.2771openalex-snapshot
La dimensión geográfica de las invasiones biológicas en el Antropoceno: el caso de Xylella fastidiosa
inferredcites →https://doi.org/10.2903/j.efsa.2018.5357openalex-snapshot
Updated pest categorisation of Xylella fastidiosa
inferredcites →https://doi.org/10.2903/j.efsa.2018.5408openalex-snapshot
Update of the Xylella spp. host plant database
inferredcites →https://doi.org/10.2903/j.efsa.2019.5665openalex-snapshot
Update of the Scientific Opinion on the risks to plant health posed by Xylella fastidiosa in the EU territory
inferredcites →https://doi.org/10.2903/sp.efsa.2016.en-1039openalex-snapshot
Workshop on Xylella fastidiosa: knowledge gaps and research priorities for the EU
inferredcites →https://doi.org/10.32614/cran.package.rasteropenalex-snapshot
raster: Geographic Data Analysis and Modeling
inferredcites →https://doi.org/10.3390/insects9040175openalex-snapshot
Distribution and Relative Abundance of Insect Vectors of Xylella fastidiosa in Olive Groves of the Iberian Peninsula
inferredcites →https://doi.org/10.3733/ca.v053n02p26openalex-snapshot
Glassy-winged sharpshooters expected to increase plant disease
inferredcites →https://doi.org/10.4454/jpp.v96i2.026openalex-snapshot
LIST OF NEW NAMES OF PLANT PATHOGENIC BACTERIA (2011-2012)
inferredcites →https://doi.org/10.48550/arxiv.1004.2316openalex-snapshot
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1101/2025.05.08.652837openalex-snapshot
Customized and rapid observational delimiting surveys for plant pests based on transect data and scouting
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