Evidence map›Paper›PMID 40177342›Full record

ArticleBiodiversity data journal2025

Mobilizing primary biodiversity records in environmental assessments in Spain.

Maite Telletxea, Rafael Miranda, Arturo H Ariño, David Galicia

Abstract read
In one paragraph

Article in Biodiversity data journal, 2025. 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

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

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.

Maite TelletxeaUniversidad de Navarra, Instituto de Biodiversidad y Medioambiente BIOMA, Irunlarrea 1, 31008, Pamplona, Spain Universidad de Navarra, Instituto de Biodiversidad y Medioambiente BIOMA, Irunlarrea 1, 31008 Pamplona Spain.ORCID https://orcid.org/0009-0004-1833-9720
Rafael MirandaUniversidad de Navarra, Instituto de Biodiversidad y Medioambiente BIOMA, Irunlarrea 1, 31008, Pamplona, Spain Universidad de Navarra, Instituto de Biodiversidad y Medioambiente BIOMA, Irunlarrea 1, 31008 Pamplona Spain.ORCID https://orcid.org/0000-0003-4798-314X
Arturo H AriñoUniversidad de Navarra, Instituto de Biodiversidad y Medioambiente BIOMA, Irunlarrea 1, 31008, Pamplona, Spain Universidad de Navarra, Instituto de Biodiversidad y Medioambiente BIOMA, Irunlarrea 1, 31008 Pamplona Spain.ORCID https://orcid.org/0000-0003-4620-6445
David GaliciaUniversidad de Navarra, Facultad de Ciencias, Departamento de Biología Ambiental, Biodiversity Data Analytics and Environmental Quality (BEQ), Irunlarrea 1, 31008, Pamplona, Spain Universidad de Navarra, Facultad de Ciencias, Departamento de Biología Ambiental, Biodiversity Data Analytics and Environmental Quality (BEQ), Irunlarrea 1, 31008 Pamplona Spain.ORCID https://orcid.org/0000-0002-2585-9888

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Environmental Assessment is an essential tool for minimising the environmental impact of human development, generating huge amounts of biodiversity data. However, much of this information, also in Spain, remains inaccessible after being partially included in Records of Decision (RODs). As a result, these dark data remain under-utilised, limiting their potential to provide information for conservation efforts and decision-making processes. New information: This dataset compiles 4,630 species records derived from RODs published in the Spanish Official State Gazette between 2013 and 2023, focusing on catalogued species listed in the Spanish Catalogue of Threatened Species and the List of Wild Species under Special Protection Regime. The data were collected using automated text-mining techniques and manually curated to correct errors and classify records as primary biodiversity records (PBRs), absences or literature-based occurrences. A total of 1,290 PBRs, 170 absences and 3,391 literature-based records were identified. PBRs were georeferenced and standardised according to the Darwin Core Standard. This dataset offers valuable insights into the presence and distribution of 31 non-Chiroptera species and 28 Chiroptera species, including 12 endangered (EN), 31 vulnerable (VU) and 16 listed species. The publication of these data in a FAIR (Findable, Accessible, Interoperable and Reusable) format via the Global Biodiversity Information Facility enhances their accessibility for future conservation planning and decision-making processes.

Indexed as

dark dataenvironmental assessmentGBIFprimary biodiversity recordsrecords of decision

Identifiers

PMID40177342
PMCPMC11962637

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.