Evidence map›Paper›PMID 36102197›Full record

ArticleGlobal change biology2023

Wet and dry extremes reduce arthropod biomass independently of leaf phenology in the wet tropics.

Felicity L Newell, Ian J Ausprey, Scott K Robinson

Open access · hybridAbstract read
In one paragraph

Article in Global change biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Review
  6. Article
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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

3 authors at 2 institutions in 2 countries.

Felicity L NewellFlorida Museum of Natural History & Department of Biology, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0002-7944-8603
Ian J AuspreyFlorida Museum of Natural History & Department of Biology, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0002-7127-2746
Scott K RobinsonFlorida Museum of Natural History & Department of Biology, University of Florida, Gainesville, Florida, USA.
University of Bern · CHFlorida Museum of Natural History · US

Funding

American Ornithological SocietyAssociation of Field OrnithologyFlorida Museum of Natural HistoryIdea WildUniversity of Florida
6 · The paper itself

Abstract

Warming temperatures are increasing rainfall extremes, yet arthropod responses to climatic fluctuations remain poorly understood. Here, we used spatiotemporal variation in tropical montane climate as a natural experiment to compare the importance of biotic versus abiotic drivers in regulating arthropod biomass. We combined intensive field data on arthropods, leaf phenology and in situ weather across a 1700-3100 m elevation and rainfall gradient, along with desiccation-resistance experiments and multi-decadal modelling. We found limited support for biotic drivers with weak increases in some herbivorous taxa on shrubs with new leaves, but no landscape-scale effects of leaf phenology, which tracked light and cloud cover. Instead, rainfall explained extensive interannual variability with maximum biomass at intermediate rainfall (130 mm month

Indexed as

ArthropodsTreesAnimalsEl Nino-Southern OscillationForestsPlant LeavesSeasonsTropical Climatedesiccationinsect biomassleaf phenologyprecipitation extremesrainfall gradienttropical montane cloud foresttropical phenologyvapor pressure deficit

Identifiers

PMID36102197
PMCPMC10087840
OpenAlexW4295570936

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.