ReviewTropical animal health and production2026
Animal production under climate change: a global scientometric analysis of research structure, thematic evolution, and knowledge gaps.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.