[Hiroshi Okamura] Developing a new ecosystem assessment method applicable to data-limited situations by integrating marine ecology and machine learning


Research Director

岡村 寛

Hiroshi Okamura

Japan Fisheries Research and Education Agency
Group Leader
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Outline

Quantifying impacts on marine diversity by environments and human activities such as fisheries is a key for sustainable use of marine resources. However, data available for ecosystem assessments are generally limited and have large uncertainty. This research aims at developing an ecosystem model for assessing and predicting the ecosystem under limited and uncertain data by using flexible methods such as new statistical approaches and machine learning. It should contribute very much to conservation and restoration of marine ecosystems.

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