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| Journal of Agricultural, Biological, and Environmental Statistics | |
|---|---|
| Title | Journal of Agricultural, Biological, and Environmental Statistics |
| Abbreviation | JABES |
| Discipline | Statistics |
| Publisher | Springer Science+Business Media for the American Statistical Association and the International Biometric Society |
| Country | United States |
| History | 1996–present |
| Frequency | Quarterly |
Journal of Agricultural, Biological, and Environmental Statistics is a quarterly peer‑reviewed publication covering statistical methods and applications in agricultural, biological, and environmental contexts. The journal publishes original research, methodological advances, and applied case studies that inform practice in fields such as agronomy, ecology, and epidemiology. Articles often bridge theory and practice, providing tools relevant to experimenters, field scientists, and policy analysts.
The journal was established in 1996 amid growing intersections among applied research communities associated with American Statistical Association, International Biometric Society, United States Department of Agriculture, Food and Agriculture Organization, and academic centers such as Cornell University, University of California, Davis, and Iowa State University. Early editorial leadership included figures linked to Ronald Fisher-influenced traditions at institutions like Rothamsted Experimental Station and statisticians associated with Biometrika and Annals of Statistics. Over time the journal developed relationships with professional societies exemplified by partnerships with Royal Statistical Society, Institute of Mathematical Statistics, and regional groups such as European Statistical Advisory Committee and Canadian Statistical Sciences Institute.
The journal emphasizes applications in contexts represented by agencies and organizations such as Natural Resources Conservation Service, Environmental Protection Agency, United Nations Environment Programme, World Health Organization, and laboratories at Smithsonian Institution. Typical topics engage methods used in studies akin to those from Svalbard Global Seed Vault projects, Long Term Ecological Research Network investigations, and trials comparable to programs by International Rice Research Institute and CIMMYT. Subject areas include experimental design used in work at Wheat Research Centre, mixed models applied in collaborations with Johns Hopkins University, spatial statistics relevant to projects by National Aeronautics and Space Administration, and longitudinal methods reflected in cohorts like Framingham Heart Study. The journal also publishes material addressing regulatory and assessment needs seen in agencies such as European Food Safety Authority and United States Geological Survey.
Editorial governance has featured editors affiliated with universities and institutes including Pennsylvania State University, University of Wisconsin–Madison, Texas A&M University, University of Minnesota, and University of Florida. The publication is produced by Springer Science+Business Media on behalf of professional societies such as the American Statistical Association and the International Biometric Society, paralleling arrangements seen in journals like Journal of the American Statistical Association and Biometrics. Peer review standards draw on editorial practices comparable to those at Journal of Agricultural Science and Ecology Letters. Publication formats include research articles, review pieces, and themed special issues organized with guest editors from institutions like Stanford University, Harvard University, and Imperial College London.
The journal is abstracted and indexed in databases and services analogous to Web of Science, Scopus, PubMed, MathSciNet, and Zentralblatt MATH. Library cataloging and metadata integrate with systems maintained by organizations such as OCLC, Library of Congress, and regional indexes like INIST and CNKI for enhanced discoverability. Citation tracking aligns with platforms used by Clarivate Analytics, Elsevier, and academic aggregators supporting metrics found in profiles at Google Scholar and ResearchGate.
Articles have influenced methodological practice in programs run by National Institutes of Health, Bill & Melinda Gates Foundation, World Bank, and agricultural research networks like CGIAR. The journal's contributions are cited in policy reports from Intergovernmental Panel on Climate Change assessments and technical guidelines from Food and Agriculture Organization. Reception among academic audiences parallels that of applied statistics journals such as Environmetrics and Statistical Methods in Medical Research, with recognition by award committees from American Statistical Association sections and honors linked to societies like International Biometric Society.
Notable contributions have included methodological advances comparable to work authored by scholars connected to Bradley Efron, Peter J. Bickel, and Donald Rubin in causal inference and resampling, as well as applied case studies echoing projects at Long Term Ecological Research Network sites and Borlaug Global Rust Initiative. Special issues have focused on topics tied to programs at National Science Foundation, multidisciplinary initiatives involving Smithsonian Institution researchers, and international collaborations with centers including CIMMYT and International Maize and Wheat Improvement Center.
The journal's articles are available through subscription and institutional access managed by Springer Science+Business Media and via society memberships in the American Statistical Association and International Biometric Society. Archival access is maintained in digital repositories and library collections like those of National Agricultural Library, Biodiversity Heritage Library, and university libraries at University of California campuses. Authors may deposit preprints in repositories such as arXiv and disciplinary archives linked to funding agencies like National Institutes of Health and National Science Foundation.
Category:Statistics journals Category:Agricultural journals