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[Display omitted] • Aggregation of macroparasites is nearly universal among parasite-host associations. • The commonly used measures of parasite aggregation do not each measure the same thing. • We tested how the meanings of aggregation measures differ using simulations. • We composed a User's Guide to aggregation measures based on their properties. • This work provides needed guidance and corrections for the study of aggregation. Aggregation of macroparasites among hosts is nearly universal among parasite-host associations. Researchers testing hypotheses on origins of parasite aggregation and its importance to parasite and host population ecology have used different measures of aggregation that are not necessarily measuring the same thing, potentially clouding our understanding of underlying epidemiological processes. We highlight these differences in meanings by exploring properties and interrelationships of six common measures of parasite aggregation, and provide a "user's guide" to inform researchers' decisions regarding their application. We compared the mathematical expressions of the different measures of aggregation, and ran two series of simulations and analyses. The first simulations tested the effect of random removals of parasites on aggregation levels under different conditions, while the second explored interrelationships between the measures, as well as between other individual parasitological sample measures (i.e. mean abundance, prevalence) and aggregation. Results of simulations and analyses showed that the six measures of aggregation could be separated readily into three groups: the variance-to-mean ratio (VMR) together with mean crowding, patchiness with k of the negative binomial, and Poulin's D with Hoover's index. These three pairs of measures showed differing responses to random parasite removals and differing relations with mean abundance and/or prevalence, highlighting that metrics capture different variation in other sample measures and different attributes of aggregation. We used results of our simulations and analyses, and a literature review, to list the properties, advantages, and disadvantages of each aggregation metric. We provide a comprehensive exploration of what is assessed by each metric, as a guide to metric choice. We implore researchers to provide enough information such that aggregation measures from each group are reported or can be readily calculated. Such steps are needed to allow large-scale analyses of variation in degrees of aggregation within and among parasite-host associations, to uncover epidemiological processes shaping parasite distributions. [ABSTRACT FROM AUTHOR]

The distribution of organisms at small spatial scales and their use of microhabitats are important determinants of species-level interactions. In many ubiquitous rocky shore invertebrates, use of intertidal microhabitats has previously been studied with relation to thermal and desiccation stress, ontogenetic changes and predation. Here, the effects of parasitism on the microhabitat use and movement of two New Zealand littorinid hosts, Austrolittorina antipodum and A. cincta, were investigated by examining the effect of infection by a philophthalmid trematode parasite. Alterations in microhabitat use and movement of infected versus uninfected individuals were found during both field mark-recapture and laboratory experiments, carried out from August 2012 to March 2013 in Otago Harbour, New Zealand (45.83°S, 170.64°E). Specifically, a trend towards increased use of rock surface habitats and a reduction in the distance moved by infected snails was observed. In addition, decreased downward movement was observed for some infected individuals. This alteration in individual distribution is likely to increase the availability of infected individuals to predators, hence aiding the successful transmission of the trematode parasite. These results highlight the importance of including parasitism as a biotic factor in studies of gastropod movement and spatial distribution., Introduction The intertidal zone has provided an ideal study system for investigating the interactions among species within ecological communities, or between species and the abiotic environment. For example, studies of [...]