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Background. The lophiid anglerfishes are with commercial importance, but rarely they are documented in Indonesian waters. During the Japanese and Indonesian collaborative surveys in 2004 and 2005, an anglerfish collection was made and it is the aim of this study to identify this collection, to document new records and to provide information further application usage such as fishery assessment from the study area. Materials and methods. Specimens were deposited in the HUMZ collection and examined by the authors. Counts, measurements, and photography were consistent with the commonly used methods. Results. Three genera and eight species in the family were collected, including Sladenia cf. zhui [sensu Ni, Wu et Li, 2012]; Lophiomus setigerus (Vahl, 1797); Lophiodes naresi (Günther, 1880); Lophiodes bruchius Caruso, 1981; Lophiodes endoi Ho et Shao, 2008; Lophiodes lugubris (Alcock, 1894); Lophiodes miacanthus (Gilbert, 1905); and Lophiodes triradiatus (Lloyd, 1909). Of these, Sladenia cf. zhui, L. bruchius, L. endoi, L. lugubris, and L. miacanthus, are described in detail. Conclusion. The diversity of the lophiid anglerfish fauna is relatively low from the eastern Indian Ocean side of Indonesia. All species treated in the presently reported study represent the first records in Indonesian waters. A discussion of lophiid fauna from Indonesia is provided, along with a key to known species in Indonesia.

The dynamic of marine environmental parameters affects the distribution of commercial tuna in the sea of the maritime continent. Hence, the objectives of this study are to develop spatial distribution models for the four main tuna species in the Maritime continent's sea with reasonable accuracy, identify their correlation with marine environmental parameters, and investigate areas of interaction between those tuna species. The study develops the distribution models for albacore (Thunnus alalunga), bigeye (Thunnus obesus), yellowfin (Thunnus albacares), and skipjack (Katsuwonus pelamis) tuna species, utilizing multi-sensor satellite remote sensing and maximum entropy. The results show models have good performance, focusing on environmental factors such as sea surface temperature (SST), chlorophyll-a (CHL), and sea surface height anomalies (SSHA), combined with eddy kinetic energy (EKE). Seasonal variations in potential tuna habitats are revealed, emphasizing the influence of those marine environmental conditions. From December to May, the four commercial tuna species were distributed in conditions characterized by SST of 26-31.5 °C, CHL levels of 0-3 mg/l, SSHA of -0.3 to 0.2 m, and EKE of 0-1 m 2 /s 2 , while from June to November, they experienced SST of 23-31 °C, CHL levels of 0-4 mg/l, SSHA of -0.5 to 0.3 m, and EKE of 0-1.1 m 2 /s 2 . The spatial persistence of the four tuna species emerged mainly around the south sea of Java, with skipjack being the most common species found in the sea of the maritime continent. With sufficient and evenly distributed tuna presence records, the results indicate the potential for extrapolation beyond the training data to estimate habitat suitability for the four commercial tuna distributions. The results also suggest potential competition between tuna species sharing ecological niches and highlight possible overlapping areas where different tuna species interact with the same fishing gear., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)