PREFACE

All praise and thanks be to Allah Subhanahu Wa Ta'ala, God Almighty. With His blessings and guidance, we can compile the Ecosystem Approach to Fisheries Management (EAFM) module in Inland Waters as Technical Guidance for the Assessment of Fisheries Management Indicators using an Ecosystem Approach. Then, through collaboration between the Ministry of Maritime Affairs and Fisheries and the Indonesian Food and Agriculture Organization (FAO) within the framework of implementing the Mainstream Biodiversity Conservation and Sustainable Use into Inland Fisheries Practices in Freshwater Ecosystem of High Conservation Value (I-Fish GCP/INS/303/GFF) project. Meanwhile, Technical Guidance for the Evaluation of EAFM Indicators in Inland Waters is carried out to realize optimization, efficiency, and effectiveness of EAFM implementation in inland waters by optimizing the role of local governments, universities, fishery extension workers, communities, and/or other community groups in evaluating EAFM indicators in inland waters.

This module was adopted from the Essential EAFM Training Course, which the Regional Office published for Asia and The Pacific - Food and Agriculture Organization in 2014, Inland EAFM Training Course in 2019, and the Technical Guidelines for Assessing EAFM Indicators in Inland Waters prepared by the Directorate of Fish Resources Management with support from the WWF Indonesia Foundation in 2020. These modules were adapted from FAO’s EAFM guidelines and modified as the law and policy of Fisheries Management in Indonesia. We expected that this module could positively and sustainably contribute to managing fisheries in the Fisheries Management Area of ​​the Indonesian Republic in inland waters with an ecosystem approach, especially through the active involvement and participation of all stakeholders.

We thank and appreciate the Writing Team and Discussion Team, as well as the TAKA Indonesia Foundation, for supporting the preparation of this module. So this module can be completed following the set targets. We are fully aware that this module still has many limitations. So, we expected constructive criticism, input, or suggestions as material for improving or developing modules in the future.