Calls for Papers: Aquatic Chemical Ecology and Machine Learning in Aquatic Ecology. Check out the Journal Updates for details

Aquatic Ecology:

  • Covers the ecology of fresh, brackish, estuarine and marine environments
  • Presents timely reports on fundamental and applied research in the field and the laboratory
  • Provides a forum for aquatic ecologists to address and evaluate ecological issues related to processes and structures at different integration levels
  • 100% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again

Aquatic Ecology publishes timely, peer-reviewed original papers relating to the ecology of fresh, brackish, estuarine and marine environments. Papers on fundamental and applied novel research in both the field and the laboratory, including descriptive or experimental studies, will be included in the journal. Preference will be given to studies that address timely and current topics and are integrative and critical in approach. We discourage papers that describe presence and abundance of aquatic biota in local habitats as well as papers that are pure systematic.

The journal provides a forum for the aquatic ecologist - limnologist and oceanologist alike- to discuss ecological issues related to processes and structures at different integration levels from individuals to populations, to communities and entire ecosystems. 

 

 

 

 

 

Journal information

Editor-in-Chief
  • Télesphore Sime-Ngando
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

1.641 (2020)
Impact factor
2.796 (2020)
Five year impact factor
38 days
Submission to first decision
126 days
Submission to acceptance
94,504 (2020)
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Latest articles

This journal has 78 open access articles

Journal updates

  • Call for Papers – Applications of Machine Learning in Aquatic Ecology

    Aquatic Ecology is pleased to invite authors to contribute research articles or opinions to a special issue titled Applications of machine learning in aquatic ecology. We welcome studies on any aquatic ecology question addressed with the use of machine learning techniques such as neural networks or Deep Learning algorithms. Find out more

  • Special Issues

    Find out about the special issues published in Aquatic Ecology.

View all updates

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About this journal

Electronic ISSN
1573-5125
Print ISSN
1386-2588
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