Evidence map›Paper›PMID 36296268›Full record

ArticleMicroorganisms2022

Testing the Resource Hypothesis of Species-Area Relationships: Extinction Cannot Work Alone.

Wei Deng, Li-Lei Liu, Guo-Bin Yu, Na Li, Xiao-Yan Yang, Wen Xiao

Abstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Wei DengInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China.ORCID 0000-0003-4918-7550
Li-Lei LiuInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China.
Guo-Bin YuInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China.
Na LiInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China.ORCID 0000-0002-2697-2268
Xiao-Yan YangInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China.ORCID 0000-0002-9304-308X
Wen XiaoInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali 671003, China.ORCID 0000-0002-4951-7524

Funding

Second Tibetan Plateau Scientific Expedition and Research Program 2019QZKK2002
6 · The paper itself

Abstract

The mechanisms that underpin the species-area relationship (SAR) are crucial for both the development of biogeographic theory and the application of biodiversity conservation. Since its origin, the resource hypothesis, which proposes that rich resources in vast ecosystems will lower extinction rates and shape the SAR, has not been tested. The impossibility to quantify resources and extinction rates using plants and animals as research subjects, as well as the inability to rule out the influences of the area per se, habitat diversity, dispersal, and the historical background of biodiversity, make testing this hypothesis problematic. To address these challenges and test this hypothesis, two sets of microbial microcosm experimental systems with positive and negative correlated resources and volumes were created in this work. The results of 157 high-throughput sequencing monitoring sessions at 11 time points over 30 consecutive days showed that neither of the experimental groups with positive or negative correlations between total resources and microcosm volume had a significant SAR, and there were no negative correlations between extinction rates and resources. Therefore, in our microcosmic system, resources do not influence extinction rates or shape the SAR. Dispersal should be the principal mode of action if the resource theory is correct.

Indexed as

dispersalextinctionmicrobial diversityresourcesspecies–area relationships

Identifiers

PMID36296268
PMCPMC9611600

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.