Evidence map›Paper›PMID 39048632›Full record

ArticleScientific data2024

Distribution and habitat database of fluvial Plecoptera, Trichoptera and Coleoptera from Sierra Nevada, Spain.

Manuel Jesús López-Rodríguez, Andrea Ros-Candeira, María Del Carmen Fajardo Merlo, Marta Sáinz Bariáin, Carmen Elisa Sainz-Cantero Caparrós, José Manuel Tierno de Figueroa, Carmen Zamora-Muñoz

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Manuel Jesús López-RodríguezDepartment of Ecology, Faculty of Sciences, University of Granada, Avenida Fuente Nueva, s/n, 18071, Granada, Spain. manujlr@ugr.es.ORCID 0000-0001-6707-0992
Andrea Ros-CandeiraLaboratory of Ecology, Andalusian Institute for Earth System Research (IISTA-CEAMA), University of Granada, Avenida del Mediterráneo s/n, 18006, Granada, Spain.ORCID 0000-0001-9535-6541
María Del Carmen Fajardo MerloEnvironment and Water Agency. Department of Sustainability, Environment and Blue Economy. Regional Government of Andalusia, C/ Minerva 7. Edificio Zeus III, local, 18014, Granada, Spain.
Marta Sáinz BariáinSpanish Institute of Oceanography, Spanish National Research Council (IEO-CSIC), Santander Oceanographic Center (COST-IEO). Avenida de Severiano Ballesteros, 16, 39004, Santander, Spain.
Carmen Elisa Sainz-Cantero CaparrósDepartment of Zoology, Faculty of Sciences, University of Granada, Avenida Fuente Nueva, s/n, 18071, Granada, Spain.
José Manuel Tierno de FigueroaDepartment of Zoology, Faculty of Sciences, University of Granada, Avenida Fuente Nueva, s/n, 18071, Granada, Spain.ORCID 0000-0003-1616-9815
Carmen Zamora-MuñozDepartment of Zoology, Faculty of Sciences, University of Granada, Avenida Fuente Nueva, s/n, 18071, Granada, Spain.ORCID 0000-0002-3037-1529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sierra Nevada (southern Iberian Peninsula) harbours a great biodiversity and the studies on some aquatic insect groups have been and continue to be numerous there. This database brings together information on Plecoptera, Trichoptera and Coleoptera inhabiting running waters of this mountain system above 800 m of altitude. It includes data on the number, life stage and sex of individuals as well as the available information on abiotic characteristics of their habitats. The dataset is composed of 1,718 sampling events carried out between 1901 and 2022 in approximately 60 different water bodies, 15,347 occurrences pertaining to more than 203,000 individuals, and 10,173 records of associated measurements (23 physico-chemical parameters). The dataset is the result of a comprehensive review of scientific literature and of integrating data from recent research projects and the Sierra Nevada Global-Change Observatory's long-term monitoring data. This information is valuable for those studying past distributions and abundances of the species in the dataset, for building predictive models or just studying temporal trends in the current context of climate change.

Indexed as

Aquatic OrganismsBiodiversityColeopteraRiversAnimalsClimate ChangeEcosystemInsectaSpain

Identifiers

PMID39048632
PMCPMC11269697

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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.