Evidence map›Paper›PMID 36102012›Full record

ArticleBiology letters2022

Top-down response to spatial variation in productivity and bottom-up response to temporal variation in productivity in a long-term study of desert ants.

Heloise Gibb, Glenda M Wardle, Aaron C Greenville, Blair F Grossman, Chris R Dickman

Open access · hybridAbstract read
In one paragraph

Article in Biology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.6field-weighted citation impact, top 8% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Heloise GibbDepartment of Ecology, Environment and Evolution and Centre for Future Landscapes, La Trobe University, Melbourne, Victoria 3086, Australia.ORCID 0000-0001-7194-0620
Glenda M WardleDesert Ecology Research Group, School of Life and Environmental Sciences A08, The University of Sydney, Sydney, New South Wales 2006, Australia.ORCID 0000-0003-0189-1899
Aaron C GreenvilleDesert Ecology Research Group, School of Life and Environmental Sciences A08, The University of Sydney, Sydney, New South Wales 2006, Australia.ORCID 0000-0002-0113-4778
Blair F GrossmanDepartment of Ecology, Environment and Evolution and Centre for Future Landscapes, La Trobe University, Melbourne, Victoria 3086, Australia.
Chris R DickmanDesert Ecology Research Group, School of Life and Environmental Sciences A08, The University of Sydney, Sydney, New South Wales 2006, Australia.
The University of Sydney · AULa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Under the Ecosystem Exploitation Hypothesis ecosystem productivity predicts trophic complexity, but it is unclear if spatial and temporal drivers of productivity have similar impacts. Long-term studies are necessary to capture temporal impacts on trophic structure in variable ecosystems such as deserts. We sampled ants and measured plant resources in the Simpson Desert, central Australia over a 22-year period, during which rainfall varied 10-fold. We sampled dune swales (higher nutrient) and crests (lower nutrient) to account for spatial variation in productivity. We asked how temporal and spatial variation in productivity affects the abundance of ant trophic guilds. Precipitation increased vegetation cover, with the difference more pronounced on dune crests; seeding and flowering also increased with precipitation. Generalist activity increased over time, irrespective of productivity. Predators were more active in more productive (swale) habitat, i.e. spatial impacts of productivity were greatest at the highest trophic level. By contrast, herbivores (seed harvesters and sugar feeders) increased with long-term rainfall; seed harvesters also increased as seeding increased. Temporal impacts of productivity were therefore greatest for low trophic levels. Whether productivity variation leads to top-down or bottom-up structured ecosystems thus depends on the scale and dimension (spatial or temporal) of productivity.

Indexed as

AntsAnimalsEcosystemHerbivoryLongitudinal StudiesPlantsherbivorepredatorrainfall

Identifiers

PMID36102012
PMCPMC9471271
OpenAlexW4295757742

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.