Positive relationships between association strength and phenotypic similarity characterize the assembly of mixed-species bird flocks worldwide.

Competition theory predicts that local communities should consist of species that are more dissimilar than expected by chance. We find a strikingly different pattern in a multicontinent data set (55 presence-absence matrices from 24 locations) on the composition of mixed-species bird flocks, which are important subunits of local bird communities the world over. By using null models and randomization tests followed by meta-analysis, we find the association strengths of species in flocks to be strongly related to similarity in body size and foraging behavior and higher for congeneric compared with noncongeneric species pairs. Given the local spatial scales of our individual analyses, differences in the habitat preferences of species are unlikely to have caused these association patterns; the patterns observed are most likely the outcome of species interactions. Extending group-living and social-information-use theory to a heterospecific context, we discuss potential behavioral mechanisms that lead to positive interactions among similar species in flocks, as well as ways in which competition costs are reduced. Our findings highlight the need to consider positive interactions along with competition when seeking to explain community assembly.

An improved method for quantifying hematozoa by digital microscopy.

Intensity of hematozoan infection is infrequently quantified because accurate calculations require visual counts of parasites relative to a large number of erythrocytes. Manual quantification of erythrocytes can be circumvented by using ImageJ software (developed by the National Institutes of Health) to count erythrocyte nuclei from digital images. Here we use the ratio of microscope erythrocyte counts to digital image erythrocyte counts (field:image ratio) to extrapolate erythrocyte counts from smaller digital images to the microscope's larger field of view. Field:image ratios were consistently calculated from 10 slides (resampling P = 0.049) and used to rapidly estimate intensity of infection within 50,000 or more erythrocytes. Intensity of hematozoan infection calculated from manual quantification of 2,000 erythrocytes was significantly lower (0.46 times) than intensity calculated from digital quantification of 50,000 erythrocytes (bootstrap P = 0.02). We contend that digital quantification of hematozoan infection offers a rapid and precise method to quantify infections of low to moderate intensity.