Literature DB >> 34137949

Parasite counts or parasite incidences? Testing differences with four analyses of infracommunity modelling for seven parasite-host associations.

Boris R Krasnov1, Andrea Spickett2, Kerstin Junker2, Sergei V Bugmyrin3, Evgeny P Ieshko3, Lubov A Bespyatova3, Michal Stanko4, Irina S Khokhlova5, Sonja Matthee6.   

Abstract

One of the challenges in studies of parasite community ecology is whether the input data for analyses should be parasite abundances/counts, i.e. count data (CD), or parasite incidences (presences/absences), i.e. incidence data (ID). We analysed species responses to environmental factors and species associations in the infracommunities of helminths and ectoparasites in four hosts from Europe (Sorex araneus and Myodes glareolus) and South Africa (Rhabdomys pumilio and Rhabdomys dilectus) and compared the results of four analyses [redundancy analysis (RD), RLQ analysis, joint species distribution modelling (JSDM) and Markov random fields (MRF)] that used either CD or ID as an input. In addition, we compared the differences between the CD and ID results of two analyses (JSDM and MRF) across parasite species between (a) host species within helminths and ectoparasites; (b) helminths and ectoparasites within a host species; and (c) parasite species with contrasting levels of intensity. The results of most analyses for the majority of parasite-host associations were qualitatively similar. However, models based on the ID input performed better than models based on the CD input in three out of four types of analyses (RDA, JSDM and MRF). The differences between the CD and ID models varied between host species (being the lowest in R. pumilio for JSDM and in S. araneus for MRF). However, they were not affected by the level of parasite intensity.

Entities:  

Keywords:  Abundance; Ectoparasites; Helminths; Incidence; Modelling

Mesh:

Year:  2021        PMID: 34137949     DOI: 10.1007/s00436-021-07217-5

Source DB:  PubMed          Journal:  Parasitol Res        ISSN: 0932-0113            Impact factor:   2.289


  26 in total

1.  Presence-absence versus abundance data for monitoring threatened species.

Authors:  Liana N Joseph; Scott A Field; Chris Wilcox; Hugh P Possingham
Journal:  Conserv Biol       Date:  2006-12       Impact factor: 6.560

2.  Inferring species interactions from co-occurrence data with Markov networks.

Authors:  David J Harris
Journal:  Ecology       Date:  2016-12       Impact factor: 5.499

3.  Distribution patterns and microhabitat segregation in gastrointestinal helminths of Sorex shrews.

Authors:  Voitto Haukisalmi; Heikki Henttonen
Journal:  Oecologia       Date:  1994-03       Impact factor: 3.225

4.  Unravelling changing interspecific interactions across environmental gradients using Markov random fields.

Authors:  Nicholas J Clark; Konstans Wells; Oscar Lindberg
Journal:  Ecology       Date:  2018-05-16       Impact factor: 5.499

5.  Parasites shape community structure and dynamics in freshwater crustaceans.

Authors:  Olwyn C Friesen; Sarah Goellner; Robert Poulin; Clément Lagrue
Journal:  Parasitology       Date:  2019-11-04       Impact factor: 3.234

6.  Co-occurrence is not evidence of ecological interactions.

Authors:  F Guillaume Blanchet; Kevin Cazelles; Dominique Gravel
Journal:  Ecol Lett       Date:  2020-05-19       Impact factor: 9.492

7.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

8.  The effect of helminth co-infection on malaria in mice: a meta-analysis.

Authors:  Sarah C L Knowles
Journal:  Int J Parasitol       Date:  2011-07-06       Impact factor: 3.981

9.  Variable effects of host characteristics on species richness of flea infracommunities in rodents from three continents.

Authors:  Christian Kiffner; Michal Stanko; Serge Morand; Irina S Khokhlova; Georgy I Shenbrot; Anne Laudisoit; Herwig Leirs; Hadas Hawlena; Boris R Krasnov
Journal:  Parasitol Res       Date:  2014-05-13       Impact factor: 2.289

10.  Diversity of helminth parasites of eight siluriform fishes from the Aguapeí River, upper Paraná basin, São Paulo state, Brazil.

Authors:  Aline A Acosta; Nico J Smit; Reinaldo J da Silva
Journal:  Int J Parasitol Parasites Wildl       Date:  2020-01-11       Impact factor: 2.674

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