Evidence map›Paper›PMID 42251245›Full record

ReviewBiologia futura2026

Biodiversity conservation informatics under anthropogenic climate change: an open and FAIR bibliometric review.

Olga Laiza Kupika, Irina Zlotnikova

Abstract readReview
PubMed Publisher
In one paragraph

Review in Biologia futura, 2026. 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

2 authors.

Olga Laiza KupikaOkavango Research Institute, University of Botswana, Sexaxa, along Shorobe Road, Private Bag 285, Maun, Botswana.ORCID http://orcid.org/0000-0002-3512-5829
Irina ZlotnikovaBotswana International University of Science and Technology, Plot 10071, Boseja Ward, Private Bag 16, Palapye, Botswana. zlotnikovai@biust.ac.bw.ORCID http://orcid.org/0000-0002-1865-8586

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Informatics technologies are transforming biodiversity conservation by enabling large-scale data analysis, predictive modelling, and real-time monitoring in the face of anthropogenic climate change. This study presents a bibliometric analysis of global research on the application of informatics tools - such as machine learning, remote sensing, geographic information systems, and big data analytics - to biodiversity conservation and anthropogenic climate change. Using the Scopus database, we analysed 643 publications from 1993 to 2024 to identify research trends, collaboration networks, and emerging thematic areas. The results reveal a rapid increase in publications over the last decade, with developed countries and China leading research output, while contributions from Africa remain limited. Keyword co-occurrence analysis highlights key research themes, including species distribution modelling, climate change impacts, conservation technology, and ecological informatics. Co-authorship network mapping underscores the interdisciplinary and collaborative nature of biodiversity informatics and anthropogenic climate change research. This bibliometric review provides a quantitative synthesis of knowledge production in this field, offering insights into dominant research trajectories and identifying gaps in geographic representation and thematic coverage. Overall, the review reveals a large but geographically skewed scientific footprint whose future value depends on closing gaps in data-poor, biodiversity-rich regions and explicitly linking biodiversity informatics outputs to climate-resilient policy and practice. The findings inform future research and policy efforts aimed at leveraging informatics technologies for effective and inclusive biodiversity conservation strategies in a changing climate. This study is FAIR-aligned and accompanied by openly shared data and materials with ISO-aligned, machine-readable metadata.

Indexed as

Anthropogenic EffectsBibliometricsBiodiversityClimate ChangeConservation of Natural ResourcesInformaticsHumansBibliometric analysisBiodiversity conservationClimate changeInformaticsMachine learningRemote sensing

Identifiers

What OpenQuestion holds

Textmetadata
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.