47 research outputs found
Optimal-Foraging Predator Favors Commensalistic Batesian Mimicry
BACKGROUND:Mimicry, in which one prey species (the Mimic) imitates the aposematic signals of another prey (the Model) to deceive their predators, has attracted the general interest of evolutionary biologists. Predator psychology, especially how the predator learns and forgets, has recently been recognized as an important factor in a predator-prey system. This idea is supported by both theoretical and experimental evidence, but is also the source of a good deal of controversy because of its novel prediction that in a Model/Mimic relationship even a moderately unpalatable Mimic increases the risk of the Model (quasi-Batesian mimicry). METHODOLOGY/PRINCIPAL FINDINGS:We developed a psychology-based Monte Carlo model simulation of mimicry that incorporates a "Pavlovian" predator that practices an optimal foraging strategy, and examined how various ecological and psychological factors affect the relationships between a Model prey species and its Mimic. The behavior of the predator in our model is consistent with that reported by experimental studies, but our simulation's predictions differed markedly from those of previous models of mimicry because a more abundant Mimic did not increase the predation risk of the Model when alternative prey were abundant. Moreover, a quasi-Batesian relationship emerges only when no or very few alternative prey items were available. Therefore, the availability of alternative prey rather than the precise method of predator learning critically determines the relationship between Model and Mimic. Moreover, the predation risk to the Model and Mimic is determined by the absolute density of the Model rather than by its density relative to that of the Mimic. CONCLUSIONS/SIGNIFICANCE:Although these predictions are counterintuitive, they can explain various kinds of data that have been offered in support of competitive theories. Our model results suggest that to understand mimicry in nature it is important to consider the likely presence of alternative prey and the possibility that predation pressure is not constant
Massagem cardíaca interna em cães: proposição de nova técnica para pericardiotomia de emergência tração - ligamentar
Prevalence, sociodemographic factors, psychological distress, and coping strategies related to compulsive buying: a cross sectional study in Galicia, Spain
Condition-dependent trade-offs between sexual traits, body condition and immunity: the effect of novel habitats
The incidence and prevalence of schizophrenia varies with latitude
Objective: The aim of this study was to examine the association between latitude and the incidence and prevalence of schizophrenia based on two recently published systematic reviews
Engagement of TLR3 on CD8+ T Cells from COPD Patients Increases In Vitro Production of IFNγ, TNFα, and Perforin.
Estimating renal function in morbidly obese patients
BackgroundThis paper aims to evaluate, in a clinical context, current creatinine-based formulas commonly used to calculate renal function in morbidly obese patients.MethodsA retrospective analysis was performed of the estimates of renal function of 63 obese or morbidly obese patients undergoing gastric bypass surgery. Each patient's glomerular filtration rate (GFR) was calculated using five methods, both before and after surgery, and these approximations were then compared.ResultsPrior to surgery, the values offered by the five formulas for the renal function of this population ranged widely, by over a factor of 2. After surgery, the three weight-based GFR estimation methods indicated that a significant change in GFR had occurred, but the two non-weight-based formulas showed no significant change in estimated GFR.ConclusionsAt baseline and after significant weight loss, creatinine-based formulas differ twofold in their estimates of renal function of the morbidly obese. An accurate method for calculating these patients' renal function is required to improve patient safety with drug dosing as well as to ensure early detection of renal failure.Alex Lovell, Philip Game, Gary Wittert, Campbell Thompso
