Evidence map›Paper›PMID 30756330›Full record

ArticleNeotropical entomology2019

Effects of Wood Density on Aquatic Insect Communities in a Cuban Montane Rainforest Stream.

B T Martínez, A T Quintana, Y T Cambas, F O Roque

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Article in Neotropical entomology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

B T MartínezProgram in Ecology and Conservation, UFMS, Campo Grande, Brasil. btellezmartinez@gmail.com.ORCID http://orcid.org/0000-0002-7632-9422
A T QuintanaFacultad de Biología, Depto de Biología Animal y Humana, Univ de La Habana, La Habana, Cuba.
Y T CambasFacultad de Ciencias Naturales, Depto de Biología, Univ de Oriente, Santiago de Cuba, Cuba.
F O RoqueLab de Ecologia, Centro de Ciencias Biológicas e da Saúde, Univ Federal de Mato Grosso do Sul, Campo Grande, Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We tested whether hardness or different wood carbon densities, considered as the concentration of carbon structural compounds, influence functional feeding groups and species richness of aquatic insects in a tropical stream. We expected that harder woods would harbor aquatic insect communities with species richness and functional food group profile different from softwoods. We also expected that collector-gatherers and collector-filterers will be more abundant in softwood because harder woods are less substrate suitable for biofilm production. Aquatic insects associated with the following plants were analyzed: Gomidesia lindeniana with high-density, Psychotria grandis with medium-density, and Meriania leucantha with low-density wood. Diptera and Ephemeroptera were the most abundant groups sampled in the woods. Psychotria grandis shows higher concentrations of lignin, cellulose, and hemicellulose, followed by G. lindeniana and M. leucantha. Breakdown rates are different among plant species with M. leucantha having four times highest breakdown rates and on average three more species in the species richness value. We did not find significant differences in the composition of insect species associated with the plants. We found evidence that the richness and functional organization of aquatic insect communities were mostly related to the breakdown rates and lignin amount of the woods. Plants that decompose faster on average have three more species and two more insect functional groups. Our findings suggest that the loss of high carbon density trees in tropical forests can affect aquatic biodiversity.

Indexed as

BiodiversityRainforestRiversAnimalsCelluloseCubaInsectaLigninPolysaccharidesWoodCellulosehemicelluloseLigninPolysaccharidesAquatic macroinvertebratescarbon densitiescolonizationCuban streamriparian forestwood decomposition

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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.