Evidence map›Paper›PMID 33144981›Full record

ArticleEcology and evolution2020

Burrow ambient temperature influences

Donglai Li, Jing Zhang, Lingyu Chen, Huw Lloyd, Zhengwang Zhang

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Burrow ambient temperature influencesEcology and evolution · 2020
    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

5 authors at 3 institutions in 2 countries.

Donglai LiProvincial Key Laboratory of Animal Resource and Epidemic Disease Prevention College of Life Sciences Liaoning University Shenyang China.ORCID https://orcid.org/0000-0001-9155-5148
Jing ZhangProvincial Key Laboratory of Animal Resource and Epidemic Disease Prevention College of Life Sciences Liaoning University Shenyang China.
Lingyu ChenProvincial Key Laboratory of Animal Resource and Epidemic Disease Prevention College of Life Sciences Liaoning University Shenyang China.
Huw LloydEcology and Environment Research Centre Department of Natural Sciences Manchester Metropolitan University Manchester UK.
Zhengwang ZhangMinistry of Education Key Laboratory for Biodiversity Science and Ecological Engineering College of Life Sciences Beijing Normal University Beijing China.
Liaoning University · CNBeijing Normal University · CNManchester Metropolitan University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For migratory birds that specialize on particular benthic macroinvertebrate species, the timing of migration is critical since prey availability may be temporally limited and a function of local ambient temperature. Hence, variation in local ambient temperature can influence the diet composition of migrant birds, and, consequently, they may be constrained by which stopover and wintering sites they are able to utilize during periods of colder temperatures. Here, we use fecal analysis, observer-based population counts, digital video recordings, and temperature data to test five predictions regarding the influence of local ambient temperature on the activity and availability of mudflat crabs-a key prey resource at three staging/wintering sites in eastern China, for migratory Red-crowned cranes (

Indexed as

coastal wetlandsdiet compositionfecal analysisgeneralized linear modelsHelice tientsinensismigrationprey availabilityRed‐crowned cranes

Identifiers

PMID33144981
PMCPMC7593175
OpenAlexW3087301634

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.