2018
DOI: 10.1002/ece3.4437
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Modeling long‐distance dispersal of emerald ash borer in European Russia and prognosis of spread of this pest to neighboring countries within next 5 years

Abstract: AimTo develop an approach to model the spatial dynamics of emerald ash borer Agrilus planipennis (Coleoptera: Buprestidae) in European Russia. This tree‐killing pest was detected in Moscow 15 years ago and began to spread, posing a threat to ashes all over Europe. The aim was to determine its probable current range and to evaluate the probability of its dispersal to neighboring countries within the next 5 years.LocationCities and transport hubs of European Russia and neighboring countries. Ash trees in this re… Show more

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Cited by 28 publications
(19 citation statements)
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“…Agrilus planipennis is continuing to spread and will soon appear in other European countries [8,9]. It presents a serious threat to ash trees all over Europe [3,10], so it is included on the list of 20 priority quarantine pests of the EU [11].…”
Section: Introductionmentioning
confidence: 99%
“…Agrilus planipennis is continuing to spread and will soon appear in other European countries [8,9]. It presents a serious threat to ash trees all over Europe [3,10], so it is included on the list of 20 priority quarantine pests of the EU [11].…”
Section: Introductionmentioning
confidence: 99%
“…By 2013 the pest was recorded in 9 regions of European Russia: from Yaroslavl in the north to Voronezh in the south (Straw et al 2013; Orlova-Bienkowskaja 2014a). The probabilistic model of spread has shown that in the next few years the range of A. planipennis can significantly expand, and the pest can appear in the neighboring countries (Orlova-Bienkowskaja and Bienkowski 2018a). The first aim of our study was to determine the current range of A. planipennis .…”
Section: Introductionmentioning
confidence: 99%
“…Distances between counties in Equation were calculated as described above. Similar models have been used to estimate propagule pressure and/or spread for EAB (Kovacs et al, 2010; Muirhead et al, 2006; Orlova‐Bienkowskaja & Bieńkowski, 2018).…”
Section: Methodsmentioning
confidence: 99%