Evidence map›Paper›PMID 42207432›Full record

ReviewTropical animal health and production2026

Animal production under climate change: a global scientometric analysis of research structure, thematic evolution, and knowledge gaps.

Robson Mateus Freitas Silveira, Concepta McManus, Iran José Oliveira da Silva

Abstract readReview
In one paragraph

Review in Tropical animal health and production, 2026. 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. Review
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

3 authors.

Robson Mateus Freitas SilveiraEnvironment Livestock Research Group (NUPEA), Department of Biosystems Engineering, "Luiz de Queiroz" Agriculture College (ESALQ), University of São Paulo (USP), Piracicaba, SP, 13418-900, Brazil. robsonsilveira@usp.br.ORCID http://orcid.org/0000-0003-2285-9695
Concepta McManusCenter for Nuclear Energy in Agriculture (CENA), University of São Paulo (USP), Av. Centenário, 303 - São Dimas, Piracicaba, SP, 13416-000, Brazil.ORCID http://orcid.org/0000-0002-1106-8962
Iran José Oliveira da SilvaEnvironment Livestock Research Group (NUPEA), Department of Biosystems Engineering, "Luiz de Queiroz" Agriculture College (ESALQ), University of São Paulo (USP), Piracicaba, SP, 13418-900, Brazil.ORCID http://orcid.org/0000-0002-4416-8433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is a major driver of transformation in livestock systems; however, existing reviews remain fragmented, often addressing environmental impacts or adaptation strategies in isolation, without systematically integrating the structure, evolution, and knowledge gaps of the field. This study addresses this limitation through a comprehensive bibliometric-scientometric analysis of global research on climate change and animal production. A total of 1,694 peer-reviewed articles and reviews indexed in Scopus (1974-2025) were retrieved using a structured search applied to titles, abstracts, and keywords. Data were processed through duplicate removal and keyword harmonization, and analyzed using Bibliometrix (R) and VOSviewer to perform co-occurrence network analysis, thematic clustering, and temporal trend evaluation. Results indicate a sustained annual growth rate of 9.47% and increasing international collaboration (35.71%), reflecting the rapid expansion of the field. The co-occurrence network reveals a highly interconnected structure, with "climate change" acting as the central organizing concept linking environmental, physiological, genetic, and production-related domains. Thematic analysis shows that research on greenhouse gas emissions and environmental impacts is well established, whereas emerging areas-such as climate-smart agriculture, One Health, and integrated sustainability frameworks-remain less connected to applied and policy-oriented research. Temporal trends highlight a shift, particularly after 2015, from impact-oriented studies toward more integrated approaches incorporating sustainability, animal welfare, resilience, and adaptive management, alongside increasing use of digital tools such as modeling and machine learning. In addition, life cycle modeling further indicates that the field remains in an early expansion stage, having reached approximately 11.6% of its estimated saturation level, with continued growth expected over the coming decades. Despite this progress, important gaps persist, particularly regarding the translation of scientific knowledge into practice and the uneven geographic distribution of research efforts. Strengthening region-specific and socially inclusive research, enhancing the integration between technological innovation and field-level application, and advancing interdisciplinary frameworks are key priorities to improve the adaptive capacity of livestock systems. By mapping the structure, evolution, and gaps of the field, this study provides a robust basis to inform future research agendas and support the transition toward more resilient and sustainable livestock systems under climate change.

Indexed as

Animal HusbandryClimate ChangeEnvironmental ExposureGreenhouse GasesAnimalsBibliometricsCluster AnalysisEvidence GapsInternational CooperationMachine LearningQualitative ResearchResearchGreenhouse GasesAdaptationAnimal welfareFood securityGreenhouse gasesHeat stressSustainability

Identifiers

PMID42207432
PMCPMC13219208

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.