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Measuring the shape of the biodiversity-disease relationship across systems reveals new findings and key gaps

Diverse host communities commonly inhibit the spread of parasites at small scales. However, the generality of this effect remains controversial. Here, we present the analysis of 205 biodiversity–disease relationships on 67 parasite species to test whether biodiversity–disease relationships are gener...

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Autores principales: Halliday, Fletcher W., Rohr, Jason R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834853/
https://www.ncbi.nlm.nih.gov/pubmed/31695043
http://dx.doi.org/10.1038/s41467-019-13049-w
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author Halliday, Fletcher W.
Rohr, Jason R.
author_facet Halliday, Fletcher W.
Rohr, Jason R.
author_sort Halliday, Fletcher W.
collection PubMed
description Diverse host communities commonly inhibit the spread of parasites at small scales. However, the generality of this effect remains controversial. Here, we present the analysis of 205 biodiversity–disease relationships on 67 parasite species to test whether biodiversity–disease relationships are generally nonlinear, moderated by spatial scale, and sensitive to underrepresentation in the literature. Our analysis of the published literature reveals that biodiversity–disease relationships are generally hump-shaped (i.e., nonlinear) and biodiversity generally inhibits disease at local scales, but this effect weakens as spatial scale increases. Spatial scale is, however, related to study design and parasite type, highlighting the need for additional multiscale research. Few studies are unrepresentative of communities at low diversity, but missing data at low diversity from field studies could result in underreporting of amplification effects. Experiments appear to underrepresent high-diversity communities, which could result in underreporting of dilution effects. Despite context dependence, biodiversity loss at local scales appears to increase disease, suggesting that at local scales, biodiversity loss could negatively impact human and wildlife populations.
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spelling pubmed-68348532019-11-08 Measuring the shape of the biodiversity-disease relationship across systems reveals new findings and key gaps Halliday, Fletcher W. Rohr, Jason R. Nat Commun Article Diverse host communities commonly inhibit the spread of parasites at small scales. However, the generality of this effect remains controversial. Here, we present the analysis of 205 biodiversity–disease relationships on 67 parasite species to test whether biodiversity–disease relationships are generally nonlinear, moderated by spatial scale, and sensitive to underrepresentation in the literature. Our analysis of the published literature reveals that biodiversity–disease relationships are generally hump-shaped (i.e., nonlinear) and biodiversity generally inhibits disease at local scales, but this effect weakens as spatial scale increases. Spatial scale is, however, related to study design and parasite type, highlighting the need for additional multiscale research. Few studies are unrepresentative of communities at low diversity, but missing data at low diversity from field studies could result in underreporting of amplification effects. Experiments appear to underrepresent high-diversity communities, which could result in underreporting of dilution effects. Despite context dependence, biodiversity loss at local scales appears to increase disease, suggesting that at local scales, biodiversity loss could negatively impact human and wildlife populations. Nature Publishing Group UK 2019-11-06 /pmc/articles/PMC6834853/ /pubmed/31695043 http://dx.doi.org/10.1038/s41467-019-13049-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Halliday, Fletcher W.
Rohr, Jason R.
Measuring the shape of the biodiversity-disease relationship across systems reveals new findings and key gaps
title Measuring the shape of the biodiversity-disease relationship across systems reveals new findings and key gaps
title_full Measuring the shape of the biodiversity-disease relationship across systems reveals new findings and key gaps
title_fullStr Measuring the shape of the biodiversity-disease relationship across systems reveals new findings and key gaps
title_full_unstemmed Measuring the shape of the biodiversity-disease relationship across systems reveals new findings and key gaps
title_short Measuring the shape of the biodiversity-disease relationship across systems reveals new findings and key gaps
title_sort measuring the shape of the biodiversity-disease relationship across systems reveals new findings and key gaps
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834853/
https://www.ncbi.nlm.nih.gov/pubmed/31695043
http://dx.doi.org/10.1038/s41467-019-13049-w
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