• No results found

Logistic regression approach to the prediction of tree defoliation caused by sawflies (Hymenoptera: Symphyta)

N/A
N/A
Protected

Academic year: 2020

Share "Logistic regression approach to the prediction of tree defoliation caused by sawflies (Hymenoptera: Symphyta)"

Copied!
8
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 1. Logistic regression between the numbers of larvae in soil samples (ex/0.25m2) in spring 2002 and probability of total defoliation (π = e α + βx/1 + e α + βx)
Table 2. Species composition of sawflies associated with ash in Ruské domy locality in 2000 (specimens caught by Malaise trap)
Fig. 3. Logistic regression between the numbers of larvae in soil samples (ex/0.25m2) in spring 2003 and probability of strong + total defoliation (π = e α + βx/1 + e α + βx)
Fig. 4. Seasonal flight activity of Tomostethus nigritus males in 2000 (white column) and in 2002 (black column) in Ruské domy locality (Malaise trap)

References

Related documents

In our study, consumption of high zinc biofortified wheat flour for 6 months compared to low zinc bioforti- fied wheat resulted in statistically significant reduction in days

FINRA sent examination letters to dark pool operators in order to identify possible problematic or abusive practices in dark pools and learn more about the information that is

Мөн БЗДүүргийн нохойн уушгины жижиг гуурсанцрын хучуур эсийн болон гөлгөр булчингийн ширхгийн гиперплази (4-р зураг), Чингэлтэй дүүргийн нохойн уушгинд том

Хавдрын үед бичил бүтцийн шинжилгээгээр эсийн бөөмийн хэмжээ томрох (макрокариоз), бөөмхөнүүд тод будагдах, бөөм ба цитоплазмын харьцаа өөрчлөгдөх, эдийн бүтэц

Field experiments were conducted at Ebonyi State University Research Farm during 2009 and 2010 farming seasons to evaluate the effect of intercropping maize with

In theory, FRET is a radiationless energy transfer process, so ideally, a single emission spectrum of the output fluorophore should be observed, as illustrated in Fig.2.7

“Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery.” Remote Sensing