Evidence map›Paper›PMID 33484348›Full record

ArticleOecologia2021

Detecting turnover among complex communities using null models: a case study with sky-island haemosporidian parasites.

Lisa N Barrow, Selina M Bauernfeind, Paxton A Cruz, Jessie L Williamson, Daniele L Wiley, John E Ford, Matthew J Baumann, Serina S Brady, Andrea N Chavez, Chauncey R Gadek and 8 more

Abstract read
PubMed Publisher
In one paragraph

Article in Oecologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Lisa N BarrowMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Selina M BauernfeindMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Paxton A CruzMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Jessie L WilliamsonMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Daniele L WileyMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
John E FordMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Matthew J BaumannMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Serina S BradyMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Andrea N ChavezMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Chauncey R GadekMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Spencer C GalenDepartment of Ornithology, Academy of Natural Sciences of Drexel University, Philadelphia, PA, USA.
Andrew B JohnsonMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Xena M MapelMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Rosario A Marroquin-FloresMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Taylor E MartinezMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Jenna M McCulloughMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Jade E McLaughlinMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA.
Christopher C WittMuseum of Southwestern Biology and Department of Biology, University of New Mexico, Albuquerque, NM, USA. cwitt@unm.edu.ORCID http://orcid.org/0000-0003-2781-1543

Funding

National Science Foundation DEB-1146491National Science Foundation NSF DBI-1611710
6 · The paper itself

Abstract

Turnover in species composition between sites, or beta diversity, is a critical component of species diversity that is typically influenced by geography, environment, and biotic interactions. Quantifying turnover is particularly challenging, however, in multi-host, multi-parasite assemblages where undersampling is unavoidable, resulting in inflated estimates of turnover and uncertainty about its spatial scale. We developed and implemented a framework using null models to test for community turnover in avian haemosporidian communities of three sky islands in the southwestern United States. We screened 776 birds for haemosporidian parasites from three genera (Parahaemoproteus, Plasmodium, and Leucocytozoon) by amplifying and sequencing a mitochondrial DNA barcode. We detected infections in 280 birds (36.1%), sequenced 357 infections, and found a total of 99 parasite haplotypes. When compared to communities simulated from a regional pool, we observed more unique, single-mountain haplotypes and fewer haplotypes shared among three mountain ranges than expected, indicating that haemosporidian communities differ to some degree among adjacent mountain ranges. These results were robust even after pruning datasets to include only identical sets of host species, and they were consistent for two of the three haemosporidian genera. The two more distant mountain ranges were more similar to each other than the one located centrally, suggesting that the differences we detected were due to stochastic colonization-extirpation dynamics. These results demonstrate that avian haemosporidian communities of temperate-zone forests differ on relatively fine spatial scales between adjacent sky islands. Null models are essential tools for testing the spatial scale of turnover in complex, undersampled, and poorly known systems.

Indexed as

Bird DiseasesHaemosporidaParasitesPlasmodiumAnimalsIslandsPhylogenySouthwestern United StatesAvian malariaBeta diversityLeucocytozoonParahaemoproteusPlasmodium

Identifiers

PMID33484348

What OpenQuestion holds

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Registered trials

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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.