2018
DOI: 10.1007/s10340-018-1023-8
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The effect of local and landscape variables on Mediterranean fruit fly dynamics in citrus orchards utilizing the ecoinformatics approach

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Cited by 16 publications
(32 citation statements)
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“…During April, when the citrus is in the final stages of the harvest season and the grounds are not cleaned, (Krasnov et al, 2019) but pear is flowering, three times more marked sterile flies migrated to citrus from pear orchard, than did those from the citrus to the pear orchard, a difference that is statistically significantly. During August, citrus trees do not bear fruit but fruits are abundant on the pear trees, significantly more sterile flies moved to the pear orchards (Figure 8 and Table 2).…”
Section: Re Sultsmentioning
confidence: 86%
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“…During April, when the citrus is in the final stages of the harvest season and the grounds are not cleaned, (Krasnov et al, 2019) but pear is flowering, three times more marked sterile flies migrated to citrus from pear orchard, than did those from the citrus to the pear orchard, a difference that is statistically significantly. During August, citrus trees do not bear fruit but fruits are abundant on the pear trees, significantly more sterile flies moved to the pear orchards (Figure 8 and Table 2).…”
Section: Re Sultsmentioning
confidence: 86%
“…The agricultural system is complex and encompasses heterogeneous landscapes, which might also change over time due to crop rotation and other managerial activities. The influence of the availability of vital resources, such as hosts, has recently received attention for pest dynamics (Ben-Hamo et al, 2020;Blank et al, 2019;Goldshtein et al, 2020;Krasnov et al, 2019). Statistical and spatial analysis was used in several studies to forecast pest population dynamics in complex heterogeneous landscapes, (Ives et al, 2017;Ricci et al, 2009;Rusch et al, 2016;Tsafack et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
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“…We used logistic regression in the framework of General Linear Models (GLMs). Multi-model inference based on Akaike's information criterion (AIC) was used to rank the importance of variables [47][48][49]. We used the package ''glmulti" to facilitate multi-model inference based on all first-order combinations of the variables on each scale (128 models for the climate variables, 8 models for the topographic variables, 1024 models for the soil variables, and 16 models for the stand characteristic variables) [50].…”
Section: Multivariatementioning
confidence: 99%
“…The temporal dynamics of the medfly have been extensively studied by season, and, to a lesser extent, on a daily basis. In seasonal studies, sampling largely relies on collecting male adults in trimedlure (TML; para-pheromone) traps, 2-4 times per month (Bekker et al, 2019;Duyck et al, 2006;Escudero-Colomar et al, 2008;Krasnov et al, 2018;Navarro-Llopis et al, 2014;Papadopoulos et al, 2001Papadopoulos et al, , 2013Pimentel et al, 2017;Sciarretta et al, 2018). In these studies, seasonal trends in medfly flight activity exhibited one or two peaks, primarily depending on climate (temperature, rainfall), host plants, fruit phenology and the trapping methodology used.…”
Section: Introductionmentioning
confidence: 99%