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The spread of Xylella fastidiosa in the south-eastern Iberian Peninsula: combining spatial and regional geographical approaches

Authors: Oliver, Gutiérrez-Hernández; García Luis, V.;

The spread of Xylella fastidiosa in the south-eastern Iberian Peninsula: combining spatial and regional geographical approaches

Abstract

The detection of the bacterium Xylella fastidiosa in Europe evidences the risks and potential effects of invasive plant pathogens at the crop, landscape, and regional scales. This study aims to combine spatial and regional geographical approaches. For this purpose, we developed a spatial analysis of the spread of X. fastidiosa in the south-eastern Iberian Peninsula, specifically the province of Alicante (Valencian Community, Spain). First, we integrated into a Geographic Information System (GIS) the presence records of X. fastidiosa published in an official report submitted by the Valencian Government (Diari Oficial de la Generalitat Valenciana). Second, we applied a set of spatial analysis techniques to study the pathogen's dispersion. Preliminary results show that the progressive spread of X. fastidiosa in the south-eastern Iberian Peninsula has a directional distribution conditioned by geography, and the spatial pattern expressed is clustered. These results provide valuable information for monitoring outbreaks of X. fastidiosa and the early adoption of control measures based on spatially explicit data. Geography matters, and combining spatial and regional geographical approaches is a challenge for future research.

Póster presentado en el 3rd European Conference on Xylella fastidiosa and XF-ACTORS final meeting (xylella21), 26-30 April 2021

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Country
Spain
Keywords

http://id.agrisemantics.org/gacs/C20262, http://id.agrisemantics.org/gacs/C2603, Spatial contagion, xylella, Regional geographical approach, Biological invasions, plant health, Spatial clustering, Spatial autocorrelation, http://id.agrisemantics.org/gacs/C4205

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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