Evidence map›Paper›PMID 35991281›Full record

ArticleEcology and evolution2022

How does variation in total and relative abundance contribute to gradients of species diversity?

Thore Engel, Shane A Blowes, Daniel J McGlinn, Nicholas J Gotelli, Brian J McGill, Jonathan M Chase

Abstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

6 authors.

Thore EngelInstitute of Computer Science Martin Luther University Halle-Wittenberg Halle (Saale) Germany.ORCID https://orcid.org/0000-0002-9245-4397
Shane A BlowesInstitute of Computer Science Martin Luther University Halle-Wittenberg Halle (Saale) Germany.ORCID https://orcid.org/0000-0001-6310-3670
Daniel J McGlinnDepartment of Biology College of Charleston Charleston South Carolina USA.ORCID https://orcid.org/0000-0003-2359-3526
Nicholas J GotelliDepartment of Biology University of Vermont Vermont USA.ORCID https://orcid.org/0000-0002-5409-7456
Brian J McGillSchool of Biology and Ecology, and Senator George J. Mitchell Center of Sustainability Solutions University of Maine Orono Maine USA.ORCID https://orcid.org/0000-0002-0850-1913
Jonathan M ChaseInstitute of Computer Science Martin Luther University Halle-Wittenberg Halle (Saale) Germany.ORCID https://orcid.org/0000-0001-5580-4303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patterns of biodiversity provide insights into the processes that shape biological communities around the world. Variation in species diversity along biogeographical or ecological gradients, such as latitude or precipitation, can be attributed to variation in different components of biodiversity: changes in the total abundance (i.e., more-individual effects) and changes in the regional species abundance distribution (SAD). Rarefaction curves can provide a tool to partition these sources of variation on diversity, but first must be converted to a common unit of measurement. Here, we partition species diversity gradients into components of the SAD and abundance using the effective number of species (ENS) transformation of the individual-based rarefaction curve. Because the ENS curve is unconstrained by sample size, it can act as a standardized unit of measurement when comparing effect sizes among different components of biodiversity change. We illustrate the utility of the approach using two data sets spanning latitudinal diversity gradients in trees and marine reef fish and find contrasting results. Whereas the diversity gradient of fish was mostly associated with variation in abundance (86%), the tree diversity gradient was mostly associated with variation in the SAD (59%). These results suggest that local fish diversity may be limited by energy through the more-individuals effect, while species pool effects are the larger determinant of tree diversity. We suggest that the framework of the ENS-curve has the potential to quantify the underlying factors influencing most aspects of diversity change.

Indexed as

Hill numbersHurlbert ENSlatitudinal diversity gradientmore‐individuals hypothesispassive samplingrarefaction

Identifiers

PMID35991281
PMCPMC9382643

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.