Agriculture Research

Agricultural and Environmental Modelling (AEM): A New Chapter for Modelling Science Publishing

Pensoft’s Agricultural & Environmental Modelling journal broadens its scope and strengthens its Open Science commitment across agri-food & environmental research.

Today marks the official relaunch of the Food and Ecological Systems Modelling Journal (FESMJ) under a new name – Agricultural and Environmental Modelling (AEM), an open-access journal dedicated to advancing the science and practice of computational and mathematical modelling across agriculture, food systems, natural resources, and environmental sciences.

The first editorial published under the AEM name sets out the journal’s expanded vision, its new article types, and its call to the modelling community.

What Has Changed and What Has Not

AEM retains the founding mission of its predecessors: to make ‘modelling research objects citable, discoverable, and reusable’ and transparent. The journal’s commitment to open access, rigorous peer review, and the recognition of modelling as a first-class scientific endeavour remains unchanged. Publication in AEM remains entirely free for all authors.

What has changed is the scope and structure. The journal’s disciplinary scope now spans the full breadth of modelling in the agricultural and environmental sciences, including management systems, production dynamics, agroecological modelling, as well as food safety, production, quality and supply-chain control, biotechnological research, socio-ecological systems, resource management and more.

Publishing the Full Modelling Lifecycle

A defining feature of AEM is its structured range of article types, designed to give formal, peer-reviewed recognition to each group of authors at every stage of a model’s development.

A complex model is not born in a single paper: it emerges through cycles of formal specification, software implementation, calibration, testing, and application, often carried out by different teams across different project phases. Each of those steps represents genuine scientific work; each deserves recognition.
reads the editorial

Among the most distinctive publication types is the Formal Model, which offers a citable recognition for foundational mathematical and conceptual design. Alongside the more standard article types, such as Review Article; Research Article; and Short Communication, AEM also welcomes contributions framed as Model Testing and Calibration; Model Implementation and Documentation; Software Description; and Data Paper. For each article, the journal’s team has provided an article template to assist authors.

Commitment to Open Science and Reproducibility

AEM is built around the FAIR principles – Findability, Accessibility, Interoperability, and Reusability – these are applied to data, code, and models as peer-reviewed outputs. As such, the journal mandates that all underlying data and source code are made openly available; while machine-learning methods must follow the DOME-ML reproducibility guidelines.

Published on Pensoft’s ARPHA Platform, the journal establishes transparency standards and requires author declarations for LLM use. AEM is archived in CLOCKSS, Zenodo, Portico, and Zendy, and indexed in more than 40 services, including AGRICOLA, Cabells, CABI, FAO AGRIS, and ResearchGate.

Recent research

Overview diagram of the conceptual population model for APODEMUS. The model simulates the wood mouse life cycle, growth and reproduction. Landscape composition is captured by habitat types (numbers) and influences the space use of the simulated wood mice. Exposures can be linked to the use of defined habitat patches and types. Credit to Singer et al., 2026

The most recent paper demonstrates how the Formal Model article type has been utilised to describe APODEMUS, a spatially-explicit simulation model designed to improve pesticide risk assessments for the wood mouse (Apodemus sylvaticus) in European agricultural landscapes. The model provides regulators with a rigorous, transparent blueprint for evaluating how agricultural pesticides affect wild animal populations at the landscape scale.

An Invitation: Submissions and Editorial Board Applications

AEM welcomes submissions from researchers across all disciplines within its scope – whether describing a formal mathematical framework, documenting the calibration of a long-standing model, sharing data, or presenting a new computational workflow. Authors are encouraged to contact the editors directly to discuss specific publication needs.

The journal also welcomes applications from editors worldwide who share AEM’s vision. Experts willing to actively contribute to this unique journal and its community are invited to get in touch via the journal website.

Agricultural and Environmental Modelling is the first journal designed around the full lifecycle of modelling research, from formal specification to calibration, implementation, and application. Every contribution is important; every contribution is citable; credit where credit is due.
commented the Editor-in-Chief, Prof. Christopher Topping

The renaming reflects a natural evolution of the journal’s mission. Agricultural and Environmental Modelling better represents the breadth of work it publishes – spanning the full spectrum of modelling across agricultural, food, and environmental sciences – and reaffirms the journal’s founding commitment to Open Science and to recognising every stage of model development as rigorous scientific work in its own right.
added Pensoft’s founder and CEO, Prof. Lyubomir Penev

You can follow the journal on social media – Bluesky, Facebook and LinkedIn, and sign up for the journal’s email newsletter through the journal’s homepage.

Original sources:

Topping CJ, Nogoy N, Boyadzhieva I, Stoev P, Penev L (2026) A journal by modellers, for modellers: Introducing Agricultural and Environmental Modelling. Agricultural and Environmental Modelling 8: e194160. https://doi.org/10.3897/aem.8.194160

Singer A, Schmolke A, Becher MA, von Blanckenhagen F, van den Brink N, Grimm T, Ibrahim L, Imholt C, Jacob J, Jakoby O, Laucht S, Løvik AN, Martin T, Muñoz CC, Preuss TG, Galic N (2026) Concept for APODEMUS – a wood mouse population model for pesticide risk assessment. Food and Ecological Systems Modelling Journal 7: e175714. https://doi.org/10.3897/fmj.7.175714

Viticulture Data Journal: Non-conventional papers foster Open Science & sustainability

Non-conventional, yet pivotal research results: data, models, methods, software, data analytics pipelines and visualisation methods, related to the field of viticulture, find a place in a newly launched, open-access and peer-reviewed Viticulture Data Journal.

The publishing venue is one of the fruits borne during the collaboration between scholarly publisher and technology provider Pensoft, its self-developed ARPHA Platform and the EU project AGINFRA+, whose mission is to provide a sustainable channel and data infrastructure for the use of cooperating, but not fully connected user communities working within the agricultural and food sciences.

The novel journal brings together a wide range of topics related to the field of viticulture: from genetic research, food safety of viticultural products to climate change adaptation of grapevine varieties through grape specific research. Amongst these are:

Phenotyping and genotyping
Vine growth and development
Vine ecophysiology
Berry yield and composition
Genetic resources and breeding
Vine adaptation to climate change, abiotic and biotic stress
Vine propagation
Rootstock and clonal evaluation
Effects of field practices (pruning, fertilization etc.) on vine growth and quality
Sustainable viticulture and environmental impact
Ampelography
Plant pathology, diseases and pests of grapevine
Microbiology and microbiological risk assessment
Food safety related to table grapes, raisins, wine, etc.

With the help of the ARPHA Platform’s signature writing tool, authors are able to use a set of pre-defined, yet flexible manuscript templates: Data Paper, Methods, Emerging Techniques, Applied Study, Software Description, R Package and Commentary. Furthermore, thanks to the advanced collaborative virtual environment provided by the tool, authors, but also reviewers, editors and other invited contributors enjoy the convenience of working within the same consolidated online file all the way from the authoring and peer review stages to copy editing and publication.

“The Viticulture Data Journal was created to respond to the major technological and sociological changes that have influenced the entire process of scholarly communication towards Open Science,”
explain the editors.

“The act of scientific publishing is actually the moment when the long effort of researchers comes to light and can be assessed and used by other researchers and the wider public. Therefore, it is little wonder that the main arena of transition from Open Access to Open Science was actually the field of academic publishing,”
they add.

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The first research publication made available in VDJ is a data paper by the research team from Agricultural University of Athens: Dr Katerina Biniari, Ioannis Daskalakis, Despoina Bouza and Dr Maritina Stavrakaki. In their study, they assess and compare both the qualitative and quantitative characters of the grape cultivars ‘Mavrodafni’ and ‘Renio’, grown in different regions of the Protected Designation of Origin Mavrodafni Patras (Greece). The associated dataset, containing the mechanical properties, the polyphenolic content and the antioxidant capacity of skin extracts and must of berries of the two cultivars, is available to download as supplementary material from the article.

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During the AGINFRA+ project, ARPHA has been extended to be used from the AGINFRA+ Virtual Research Environment (VRE), which would allow the authors to use the VRE as an additional gate to the AWT and the journal, as well as to benefit from the integration of AWT with several other services offered by the AGINFRA+ platform. The AGINFRA+ platform has been designed as a Gateway providing online access through a one-stop endpoint to services, aiming at the integration of the traditional narrative of research articles with their underlying data, software code and workflows.

***

Viticulture Data Journal is indexed by Altmetric, CrossRef, Dimensions, EBSCOhost, Google Scholar, Mendeley, Microsoft Academic, Naviga (Suweco), OCLC WorldCat, OpenAIRE, OpenCitations, ReadCube, Ulrichsweb™, Unpaywall; and archived at CLOCKSS and Zenodo

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Follow Viticulture Data Journal on Twitter and Facebook.

1,541 snout moth species and counting in the United States and Canada

The present snout moth list contains a ten-percent increase in the number of species since 1983. For the last thirty-three years snout moth specialists in the United States and Canada have been describing species new to science and recording species new to these two countries. Scientists have also published studies resulting in major changes to the classification above the species level, for example by studying snout moth “ears” (tympanal organs) and utilizing genes to study their relationships.

This check list was compiled over a three-year period by Dr. Brian Scholtens and Dr. M. Alma Solis. Brian Scholtens is a professor at the College of Charleston, South Carolina, and M. Alma Solis is a research entomologist at the Agriculture Research Service’s Systematic Entomology Laboratory, and curator of the U.S. National Pyraloidea Collection located at the Smithsonian Institution, National Museum of Natural History, Washington, D.C. Their results have been published in the open-access journal ZooKeys.

“A check list is one of the most important pieces of research, with many applications,” says Dr. Solis. “Knowing the fauna of a geographic area makes it possible to track species and, in this case, potential invasive species. The caterpillars of snout moths are economically important worldwide as pests of planted crops for food or biofuel, of forest trees, and of stored products such as wheat and nuts.”

“Many species, for example, the stored product pests, occur worldwide, but others, such as pest species of grasses including corn, can be restricted or only exist in certain geographic areas,” the scientist further explains. “It is important to be able to recognize as soon as possible that a particular species is not native to the United States or Canada.”

Scientists use Latin scientific names as “unique tags” to communicate about the morphological or molecular identity and habits of a species. One of the functions of taxonomists is to determine if a species is new or if it has already been described. Historically, confusion is created when the same species is described more than once (called a synonym) in other parts of the world.

A regional check list such as this one and a worldwide check list can work together to reinforce precision in the definition and communication about species, especially decreasing confusion about synonyms. Most worldwide check lists exist as online databases that can be updated. Dr. Solis said that they had cited new discoveries relevant to the North American snout moth fauna found in GLOBIZ, or the Global Information System on Pyraloidea, an electronic list of over 15,500 snout moth species names for which she is a collaborator.

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Original source:

Scholtens, B. & M. A. Solis. 2015. Annotated check list of the Pyraloidea (Lepidoptera) of America North of Mexico. Zookeys.535:1-1136. doi: 10.3897/zookeys.535.6086.