Ecological Modelling
A monthly peer-reviewed scientific journal focused on ecological and ecosystem modelling, published by Elsevier.
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Overview
Ecological Modelling is an academic journal devoted to the development, application, evaluation, and interpretation of models used in ecology and related environmental sciences. The journal was established in 1975 by ecologist Sven Erik Jørgensen and is published by Elsevier. Its central subject is the representation of ecological systems through mathematical, computational, conceptual, and simulation-based approaches. The journal covers modelling at multiple scales, from populations and communities to ecosystems, landscapes, and broader environmental systems. Relevant work may address topics such as ecosystem dynamics, biodiversity, species interactions, biogeochemical cycles, ecological forecasting, environmental change, resource management, and the use of models in conservation or policy analysis. Its scope connects theoretical ecology with practical applications, including the construction of models, calibration and validation, sensitivity analysis, uncertainty assessment, scenario testing, and the interpretation of model outputs. As a peer-reviewed periodical, Ecological Modelling functions primarily as a scholarly communication platform rather than as a consumer-facing commercial brand. Its principal offering is the journal itself, delivered through Elsevier's academic publishing infrastructure in print and digital formats. The publication serves researchers, university faculty, environmental scientists, natural-resource managers, and other specialists who use quantitative or computational methods to study ecological systems. The journal is issued monthly. Articles may include original research, methodological contributions, modelling frameworks, applications of established models, and related scholarly analyses, subject to the journal's editorial and peer-review processes. The publication's identity is closely associated with interdisciplinary ecological modelling: it sits between ecology, systems science, mathematics, computer simulation, environmental management, and applied policy research. Ecological Modelling has been edited by scholars in ecology and environmental modelling. Brian D. Fath of Towson University is identified in the available reference material as its current editor-in-chief. The journal's bibliometric visibility includes citation metrics reported through Clarivate's Journal Citation Reports; the available reference specifically records a 2016 impact factor of 2.363. That historical metric should not be treated as a current performance measure. The journal's continuing role is to provide a specialist venue for research on how ecological processes and systems can be formalized, simulated, tested, and applied. Its audience and influence are international, although the available material does not provide a complete account of circulation, readership, submissions, or current bibliometric performance.
History
Ecological Modelling was founded in 1975 by Sven Erik Jørgensen as a specialist scholarly journal for research concerning the representation of ecological systems through models. Its emergence reflected the growing use of mathematical, systems-based, and computer-assisted methods in ecology. Rather than focusing on a single organism or habitat, the journal's subject encompasses methods for understanding interactions and dynamics across populations, communities, ecosystems, and environmental systems. Since its establishment, the journal has operated as a monthly peer-reviewed publication. Its subject area has connected theoretical ecological research with applied environmental analysis. Contributions may concern the design of ecological models, simulation methods, model evaluation, parameter estimation, sensitivity analysis, uncertainty, scenario analysis, and the use of models in conservation or resource management. This breadth allows the journal to serve researchers working across ecology, environmental science, systems analysis, mathematics, and computation. The publication is issued by Elsevier, which provides its academic publishing and distribution infrastructure. Over time, the journal's scope has remained centered on ecological modelling while accommodating developments in computational techniques and the increasing use of models to study environmental change. Its work can be relevant to questions involving ecosystem processes, biodiversity, species relationships, biogeochemical cycles, natural-resource management, and ecological forecasting. Editorial leadership has been provided by scholars active in ecological and environmental modelling. The available reference identifies Brian D. Fath of Towson University as editor-in-chief. The journal's scholarly standing has also been tracked through citation-based indicators. A 2016 impact factor of 2.363 is reported in the available Wikipedia reference through Journal Citation Reports; this is a historical figure and does not establish the journal's current impact factor. Today, Ecological Modelling remains an active specialist journal published by Elsevier. Its principal function is to provide a peer-reviewed venue for communicating research on the theory, development, assessment, and application of models used to analyze ecological systems. Detailed information on changes in ownership, editorial succession, circulation, and current metrics is not established by the supplied source material.
Products and positioning
A specialist international scholarly journal positioned at the intersection of ecology, environmental science, systems analysis, and computational modelling.
Peer-reviewed scientific journal · 1975
Ecological Modelling
The journal's core and namesake offering is a monthly peer-reviewed periodical covering the use of mathematical, computational, conceptual, and simulation models in ecology. Its subject matter includes ecosystem processes, population and community dynamics, environmental change, conservation, resource management, and methods for building, testing, validating, and interpreting ecological models.
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