Abstract
Estimating the number of host species that a parasite can infect (i.e. host range) provides key insights into the evolution of host specialism and is a central concept in disease ecology. Host range is rarely estimated in real systems, however, because variation in species relative abundance and the detection of rare species makes it challenging to confidently estimate host range. We applied a non-parametric richness indicator to estimate host range in simulated and empirical data, allowing us to assess the influence of sampling heterogeneity and data completeness. After validating our method on simulated data, we estimated parasite host range for a sparsely sampled global parasite occurrence database (Global Mammal Parasite Database) and a repeatedly sampled set of parasites of small mammals from New Mexico (Sevilleta Long Term Ecological Research Program). Estimation accuracy varied strongly with parasite taxonomy, number of parasite occurrence records, and the shape of host species-abundance distribution (i.e. the dominance and rareness of species in the host community). Our findings suggest that between 20% and 40% of parasite host ranges are currently unknown, highlighting a major gap in our understanding of parasite specificity, host–parasite network structure, and parasite burdens.
Original language | English |
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Article number | 20171250 |
Journal | Proceedings of the Royal Society B: Biological Sciences |
Volume | 284 |
Issue number | 1861 |
DOIs | |
Publication status | Published - 30 Aug 2017 |
Bibliographical note
Publisher Copyright:© 2017 The Author(s) Published by the Royal Society. All rights reserved.
Keywords
- Abundance-based coverage estimator
- Global Mammal Parasite Database
- Host breadth
- Host specificity
- Sevilleta LTER
- Species diversity estimation
ASJC Scopus subject areas
- General Biochemistry,Genetics and Molecular Biology
- General Immunology and Microbiology
- General Environmental Science
- General Agricultural and Biological Sciences