Evidence map›Paper›PMID 40170806›Full record

ArticleEcology and evolution2025

SAMPLE: An R Package to Estimate Sampling Effort for Species' Occurrence Rates.

Henrique Bravo, Yacine Ben Chehida, Sancia E T van der Meij

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Henrique BravoGELIFES University of Groningen Groningen the Netherlands.ORCID https://orcid.org/0000-0003-3086-737X
Yacine Ben ChehidaGELIFES University of Groningen Groningen the Netherlands.ORCID https://orcid.org/0000-0001-7269-9082
Sancia E T van der MeijGELIFES University of Groningen Groningen the Netherlands.ORCID https://orcid.org/0000-0002-3759-8945

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species' occurrence rates are the backbone of many ecological studies. Sampling of species occurrence, however, can come with challenges and might prove more difficult than anticipated. Logistical difficulties, limited funds or time, elusiveness or rarity of species and difficult sampling environments are all examples of scenarios that might contribute to (undesired) small sample sizes. In order to help circumvent some of these difficulties and uncertainties, we present SAMPLE, an R package that aims to inform the user whether the amount of sampling conducted up until a chosen moment is enough to accurately estimate the occurrence rate of species. We use a simulation approach to help verify the accuracy of the package and to help guide the user in choosing the most appropriate values for the available parameters. Moreover, we provide a real data set where we used SAMPLE to estimate the occurrence rate of various coral-dwelling species on their hosts and the minimum number of samples required for an accurate estimation. This provided example data set includes closely related host species, single or multiple symbionts on a single host coral taxon, and data points obtained from different depths to illustrate how occurrence rates can vary depending on the provided input. Due to its simplicity and ease of use, this package allows users to run it while in the field to estimate if sampling is sufficient or if the sampling approach needs to be adapted for a particular species. We hope that this package proves itself useful to users that need to estimate occurrence or prevalence rates of species and do not always have the possibility to obtain large sample sizes.

Indexed as

community ecologyprevalencesample sizesimulationssymbiont

Identifiers

PMID40170806
PMCPMC11949539

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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.