Binomial Regression Models for Spring and Summer Infestations of the Russian Wheat Aphid (Homoptera: Aphididae) in the Southern and Western Plains States and Rocky Mountain Region of the United States

Legg, David; Hein, Gary L.; Nowierski, Robert M.; Feng, Ming; Peairs, Frank B.; Karner, Miles; Cuperus, G. W.

doi:10.1093/jee/85.5.1779

Cited by 4 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To predict species abundance from occupancy an appropriate description of the underlying spatial distribution of its individuals is required. The negative binomial distribution (NBD) has most frequently been used, because individuals commonly have contagious distributions (Pielou 1977; Taylor, Woiwood & Perry 1978; Legg et al . 1992).…”

Section: Introductionmentioning

confidence: 99%

“…The relationship also has considerable intrinsic value because it can be used to predict species abundance levels from measures of occupancy (Kunin 1998; He & Gaston 2000a). Successful prediction of this kind has important potential application in conservation assessment and monitoring (Kunin 1998; He & Gaston 2000a,b), and in the prediction of insect pest population densities from incidence measures in agroecosystems (Legg et al . 1992; Peng & Brewer 1994; Perry 1995).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Predicting abundance from occupancy: a test for an aggregated insect assemblage

Warren¹,

McGeoch²,

Chown³

2003

Journal of Animal Ecology

View full text Add to dashboard Cite

Summary 1.The ubiquitous, positive abundance-occupancy relationship is of potential value to conservation and pest management because of the possibility of using it to predict species abundance from occupancy measures. 2. He & Gaston (2000a) developed a model, and a parameterization method, for the prediction of abundance from occupancy based on the negative binomial distribution. There are to date few empirical tests of either the estimation method or model. Here we conduct such a test in a field-based mesocosm experiment using a Drosophilidae assemblage associated with decaying fruit. 3. With individual (and groups of ) fruit as minimum mapping units, abundance estimates derived using the parameterization method of the He-Gaston model differed significantly from measured values, and were least accurate for the most abundant species. 4. Substitution of k -values corrected for species density in the model did not improve abundance predictions significantly. However, substitution of k -values calculated directly from the negative binomial distribution yielded highly accurate abundance predictions. 5. Although the distribution of fly species did not deviate significantly from the negative binomial distribution, and the finest possible minimum mapping units were used (individual fruit), the parameterization method in the He-Gaston model consistently underestimated the abundance of species in the assemblage because individuals were very highly aggregated within fruit. 6. Because of its potential importance, this model and parameterization method require further exploration at fine scales, commonly represented by individual habitat units, for highly aggregated species. The incorporation of spatially explicit information may provide a means of improving abundance predictions in this regard.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predicting abundance from occupancy: a test for an aggregated insect assemblage

Warren¹,

McGeoch²,

Chown³

2003

Journal of Animal Ecology

View full text Add to dashboard Cite

show abstract

“…In this study, we have used logit models, one of the regression procedures for qualitative dependent variables, for estimating apple frost resistance. In the field of agricultural sciences, logit models previously have been applied in economics, plant pathology, and entomology (e.g., Knopf and Schoney, 1993;Kortemaa et al, 1994;Legg et al, 1992). To our knowledge, there are no earlier reports on using logit models in temperature stress research.…”

Section: Discussionmentioning

confidence: 99%

Logit Models for Estimating Lethal Temperatures in Apple

Lindén¹,

Rita²,

Suojala³

1996

HortSci

View full text Add to dashboard Cite

Logit models were used to analyze freeze-survival data of apple (Malus domestica Borkh.). The effects of hardening and dehardening treatments and two treatment durations on lethal temperature were studied using two cultivars. The major benefits of logit models were 1) the form of the sampling variation in the qualitative response variable was taken into account, 2) the lethal temperatures could be estimated with confidence intervals, and 3) the effects of treatments could be interpreted and compared easily using odds ratios. The momentary frost resistance estimates for `Antonovka' and `Samo' were –46 and –43C, respectively. Dehardening at 14C raised the lethal temperature by 12 to 15C, whereas hardening at –15C did not affect the frost resistance of either cultivar.

show abstract

“…where m is the mean number of aphids per tiller and p is the proportion of infested tillers, and ci and p are parameters that are estimated from this equation. Species for which parameter estimates are available are Rhopalosiphum maidis (Fitch), R. padi (L.), Sitobion avenae (Fitch), Schizaphis graminum (Rondani), Metopolophium dirhodum (Walker), and Diuraphis noxia (Mordvilko) on three crops (spring wheat, winter wheat, and spring barley) (Ekbom 1987;Elliott et al 1990;Feng and Nowierski 1992;Feng et al 1993;Legg et al 1992;Schaalje and Butts 1992;Ward et al 1986). We were intrigued by the similarity in parameter estimates among aphid species sampled from various small grain crops, A d decided to investigate the potential of developing a single 'generic' set of parameters for Eq.…”

Section: January/february 1995mentioning

confidence: 99%

A General Method for Estimating Cereal Aphid Populations in Small Grain Fields Based on Frequency of Occurrence

Hein¹,

Elliott²,

Michels

et al. 1995

Can Entomol

View full text Add to dashboard Cite

Similarities in population parameters among aphid species led us to investigate the potential for a single set of parameters that can be used to develop a ‘generic’ sampling plan for multiple small grain aphid species. A weighted average for the slope and intercept used to relate the proportion of infested tillers to the number of aphids per tiller was determined from the data in 15 published reports. These average parameter estimates were used to predict the number of aphids per tiller in 48 wheat fields sampled for four aphid species. The predicted estimates were regressed on the observed estimates with neither slopes nor intercepts differing significantly from one or zero, respectively. Therefore, it appears the single model is adequate for predicting aphid density for the aphid species tested.

show abstract

Binomial Regression Models for Spring and Summer Infestations of the Russian Wheat Aphid (Homoptera: Aphididae) in the Southern and Western Plains States and Rocky Mountain Region of the United States

Cited by 4 publications

References 0 publications

Predicting abundance from occupancy: a test for an aggregated insect assemblage

Predicting abundance from occupancy: a test for an aggregated insect assemblage

Logit Models for Estimating Lethal Temperatures in Apple

A General Method for Estimating Cereal Aphid Populations in Small Grain Fields Based on Frequency of Occurrence

Contact Info

Product

Resources

About