Se. Naranjo et Jr. Hagler, Toward the quantification of predation with predator gut immunoassays: A new approach integrating functional response behavior, BIOL CONTRO, 20(2), 2001, pp. 175-189
Immunological methods have been widely used to identify key predator specie
s and qualitatively evaluate predation of target prey. However, despite the
quantitative nature of many immunoassays, the translation to number of pre
y attacked has been problematic because of the many factors that confound i
nterpretation of the strength of the immunoassay response. We developed a n
ew predation model that couples the proportion of predators positive for pr
ey remains determined by enzyme-linked immunosorbent assay (ELISA), predato
r density, and predator functional response to prey density for estimating
total prey attacked. We used single cotton plant arenas in the greenhouse t
o develop functional response models for two generalist predators, Geocoris
punctipes (Say) and Orius insidiosus (Say), preying on Pectinophora gossyp
iella (Saunders) eggs. The model was validated and compared with other immu
nologically based predation models in multiple plant/multiple predator aren
as. Our predation model was relatively accurate in predicting the total num
ber of prey attacked by both predator species and was a significant improve
ment over previous models that rely on simple assumptions regarding predato
r attack rates. The model also improves the predictive capacity of the func
tional response model alone by correcting for the number of predators actua
lly consuming prey. Sensitivity analyses indicated that model performance w
as most sensitive to accurate measurement of input variables such as temper
ature and the proportion of individuals positive for prey antigens by ELISA
and less sensitive to changes in estimates of prey density. Accurate estim
ation of the functional response parameters is also important, especially f
or the behavioral parameter defining the decline in plant leaf area searche
d with increases in prey density. Limitations of the model and application
to the field are discussed.