Evidence map›Paper›PMID 30917178›Full record

ArticlePloS one2019

BioModelos: A collaborative online system to map species distributions.

Jorge Velásquez-Tibatá, María H Olaya-Rodríguez, Daniel López-Lozano, César Gutiérrez, Iván González, María C Londoño-Murcia

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. The influence of scale-dependent geodiversity on species distribution models in a biodiversity hotspot.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2024
    Article
  6. Integrating habitat-masked range maps with quantifications of prevalence to estimate area of occupancy in IUCN assessments.Conservation biology : the journal of the Society for Conservation Biology · 2023
    Article
  7. Review
  8. 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

6 authors.

Jorge Velásquez-TibatáLaboratory of Applied Biogeography, The Alexander von Humboldt Institute for Research on Biological Resources, Bogotá D.C., Colombia.ORCID 0000-0002-7773-7348
María H Olaya-RodríguezLaboratory of Applied Biogeography, The Alexander von Humboldt Institute for Research on Biological Resources, Bogotá D.C., Colombia.ORCID 0000-0002-8012-0197
Daniel López-LozanoLaboratory of Applied Biogeography, The Alexander von Humboldt Institute for Research on Biological Resources, Bogotá D.C., Colombia.
César GutiérrezLaboratory of Applied Biogeography, The Alexander von Humboldt Institute for Research on Biological Resources, Bogotá D.C., Colombia.
Iván GonzálezLaboratory of Applied Biogeography, The Alexander von Humboldt Institute for Research on Biological Resources, Bogotá D.C., Colombia.
María C Londoño-MurciaLaboratory of Applied Biogeography, The Alexander von Humboldt Institute for Research on Biological Resources, Bogotá D.C., Colombia.ORCID 0000-0002-2317-5503

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information on species distribution is recognized as a crucial input for biodiversity conservation and management. To that end, considerable resources have been dedicated towards increasing the quantity and availability of species occurrence data, boosting their use in species distribution modeling and online platforms for their dissemination. Currently, those platforms face the challenge of bringing biology into modeling by making informed decisions that result in meaningful models, based on limited occurrence and ecological data. Here we describe BioModelos, a modeling approach supported by an online system and a core team of modelers, whereby a network of experts contributes to the development of species distribution models by assessing the quality of occurrence data, identifying potentially limiting environmental variables, establishing species' accessible areas and validating modeling predictions qualitatively. Models developed through BioModelos become freely and publicly available once validated by experts, furthering their use in conservation applications. Our approach has been implemented in Colombia since 2013 and it currently consist of a network of nearly 500 experts that collaboratively contribute to enhance the knowledge on the distribution of a growing number of species and it has aided the development of several decision support products such as national risk assessments and biodiversity compensation manuals. BioModelos is an example of operationalization of an essential biodiversity variable at a national level through the implementation of a research infrastructure that enhances the value of open access species data.

Indexed as

BiodiversityInternetModels, StatisticalOnline SystemsPublicationsSoftware

Identifiers

PMID30917178
PMCPMC6436796

What OpenQuestion holds

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LicenceCC BY
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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.