2017
DOI: 10.1371/journal.pone.0170889
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Characterizing the spatial distribution of brown marmorated stink bug, Halyomorpha halys Stål (Hemiptera: Pentatomidae), populations in peach orchards

Abstract: Geospatial analyses were used to investigate the spatial distribution of populations of Halyomorpha halys, an important invasive agricultural pest in mid-Atlantic peach orchards. This spatial analysis will improve efficiency by allowing growers and farm managers to predict insect arrangement and target management strategies. Data on the presence of H. halys were collected from five peach orchards at four farms in New Jersey from 2012–2014 located in different land-use contexts. A point pattern analysis, using … Show more

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Cited by 20 publications
(12 citation statements)
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“…Surveys of H. halys on wild and cultivated woody ornamentals and soybean found higher population densities during growth stages with maturing seeds/fruits suggesting that H. halys tracks host plant phenology (Nielsen and Hamilton, 2009;Martinson et al, 2015). Similar behavior occurs in cultivated fruit trees where populations have been observed to follow peach maturity (Hahn et al, 2017).…”
Section: Introductionmentioning
confidence: 80%
“…Surveys of H. halys on wild and cultivated woody ornamentals and soybean found higher population densities during growth stages with maturing seeds/fruits suggesting that H. halys tracks host plant phenology (Nielsen and Hamilton, 2009;Martinson et al, 2015). Similar behavior occurs in cultivated fruit trees where populations have been observed to follow peach maturity (Hahn et al, 2017).…”
Section: Introductionmentioning
confidence: 80%
“…points, which explains the mutual positions of the points" (Illian et al, 2008, p. 3). Point pattern analysis has been successfully used previously in the collection of insect data (see Hahn et al, 2017;Monceau & Thi ery, 2017). Point pattern analysis applies second-order statistics based on the frequency distribution of distances of pairs of points (Wiegand & Moloney, 2014) rather than on the intensity of a pattern (i.e.…”
Section: Methodsmentioning
confidence: 99%
“…All models with evidence of spatial dependency have an additional parameter called "range". Range is the maximum distance between samples below which spatial autocorrelation is present [34,38], and the range value plays a critical role in determining the adequate sampling distance for an unbiased, independent sampling plan [6,11,15,25,39]. The nugget-to-sill ratio (C 0 /C 0 + C) and nugget were used to determine the degree of aggregation [40], where ratios <0.25, 0.25-0.75, and >0.75 indicated strong, moderate, and weak aggregation, respectively [11,[41][42][43].…”
Section: Variogram Analysismentioning
confidence: 99%