ArticleOecologia2017
Predators, environment and host characteristics influence the probability of infection by an invasive castrating parasite.
Article in Oecologia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 26 citations in OpenAlex.
- Host Traits and Avian Malaria Parasites: Understanding the Intrinsic Connections.Integrative zoology · 2026Article
- Population density drives increased parasitism via greater exposure and reduced resource availability in wild red deer.Parasitology · 2025Article
- Parasites of the hermit crab Pagurus hirsutiusculus; distribution, prevalence, and thermal ecology.PloS one · 2025Article
- Effects of Morphological Changes Induced by the Rhizocephalan ParasiteZoological studies · 2025Article
- Recent introductions reveal differential susceptibility to parasitism across an evolutionary mosaic.Evolutionary applications · 2020Article
- Host and parasite thermal ecology jointly determine the effect of climate warming on epidemic dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Contrasting complexity of adjacent habitats influences the strength of cascading predatory effects.Oecologia · 2017Article
- Article
- Genetic by environmental variation but no local adaptation in oysters (Ecology and evolution · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Not all hosts, communities or environments are equally hospitable for parasites. Direct and indirect interactions between parasites and their predators, competitors and the environment can influence variability in host exposure, susceptibility and subsequent infection, and these influences may vary across spatial scales. To determine the relative influences of abiotic, biotic and host characteristics on probability of infection across both local and estuary scales, we surveyed the oyster reef-dwelling mud crab Eurypanopeus depressus and its parasite Loxothylacus panopaei, an invasive castrating rhizocephalan, in a hierarchical design across >900 km of the southeastern USA. We quantified the density of hosts, predators of the parasite and host, the host's oyster reef habitat, and environmental variables that might affect the parasite either directly or indirectly on oyster reefs within 10 estuaries throughout this biogeographic range. Our analyses revealed that both between and within estuary-scale variation and host characteristics influenced L. panopaei prevalence. Several additional biotic and abiotic factors were positive predictors of infection, including predator abundance and the depth of water inundation over reefs at high tide. We demonstrate that in addition to host characteristics, biotic and abiotic community-level variables both serve as large-scale indicators of parasite dynamics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.