Near-Term Ecological Forecasting

Dear Colleagues,

Near-term (daily to interannual) ecological forecasting is a rapidly growing research area focused on producing continually updated, actionable predictions of the future state of ecosystems, their services (e.g., water quality, forest products, fisheries, carbon sequestration), and risks (e.g., infectious disease, invasive pests) that increase scientific understanding and improve environmental decision making, management, and conservation.

This Special Issue is open to papers that address individual ecological forecasts, multi-forecast  comparisons/competitions, or other topics that advance research in this area, such as theory, standards, best practices, protocols, decision support, methods, and cyberinfrastructure. Examples include, but are in no way limited to, papers coming out of the Ecological Forecasting Initiative’s NEON forecasting challenge. Papers are open to multiple approaches (statistical, machine learning, process-based, expert judgement) and systems (terrestrial, freshwater, marine; population, community, ecosystem) and could draw upon knowledge and research in the biological, social, computational, and physical environmental sciences.

Dr. Michael C. Dietze
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the Special Issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forecasting is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.