Blar i AURA på forfatter "Moyano, Marta"
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Automated Plankton Classification With a Dynamic Optimization and Adaptation Cycle
Conradt, Jan; Börner, Gregor; López-Urrutia, Ángel; Möllmann, Christian; Moyano, Marta (Peer reviewed; Journal article, 2022) -
Caught in the middle: bottom‑up and top‑down processes impacting recruitment in a small pelagic fish
Moyano, Marta; Illing, Björn; Akimova, Anna; Alter, Katharina; Bartolino, Valerio; Börner, Gregor; Clemmesen, Catriona; Finke, Annegret; Gröhsler, Tomas; Kotterba, Paul; Livdane, Lina; Mittermayer, Felix; Moll, Dorothee; von Nordheim, Lena; Peck, Myron A.; Schaber, Matthias; Polte, Patrick (Peer reviewed; Journal article, 2022)Understanding the drivers behind fluctuations in fish populations remains a key objective in fishery science. Our predictive capacity to explain these fluctuations is still relatively low, due to the amalgam of interacting ... -
Combining modeling with novel field observations yields new insights into wintertime food limitation of larval fish
Akimova, Anna; Peck, Myron A.; Börner, Gregor; van Damme, Cindy; Moyano, Marta (Peer reviewed; Journal article, 2023)Recruitment success of marine fishes is generally considered to be highly dependent on larval growth and survival. In temperate ecosystems, fish larvae are sensitive to food limitation during the low productivity seasons, ... -
First estimates of metabolic rate in Atlantic bluefin tuna larvae
Blanco, Edurne; Reglero, Patricia; Ortega, Aurelio; Folkvord, Arild; de la Gándara, Fernando; Hernández de Rojas, Alma; Moyano, Marta (Journal article; Peer reviewed, 2020) -
FishSizer: Software solution for efficiently measuring larval fish size
Rasmussen, Jeppe Have; Moyano, Marta; Fuiman, Lee A.; Oomen, Rebekah Alice (Peer reviewed; Journal article, 2022)Length and depth of fish larvae are part of the fundamental measurements in many marine ecology studies involving early fish life history. Until now, obtaining these measurements has required intensive manual labor and the ... -
FishSizer: Software solution for efficiently measuring larval fish size
Rasmussen, Jeppe Have; Moyano, Marta; Fuiman, Lee A.; Oomen, Rebekah Alice (Peer reviewed; Journal article, 2022)Length and depth of fish larvae are part of the fundamental measurements in many marine ecology studies involving early fish life history. Until now, obtaining these measurements has required intensive manual labor and the ... -
Role of protozooplankton in the diet of North Sea autumn spawning herring (Clupea harengus) larvae
Bils, Franziska; Aberle-Malzahn, Nicole; Van Damme, Cindy J.G.; Peck, Myron A.; Moyano, Marta (Peer reviewed; Journal article, 2022)The role of small prey (<200 µm) in larval marine fsh nutrition is largely understudied. Here, we explore the contribution of protozooplankton (PZP 20–200 µm) to larval fsh diets, compared to metazoan microzooplankton (MZP ... -
Small pelagic fish in the new millennium: a bottom-up view of global research effort
Peck, Myron A.; Alheit, Jürgen; Bertrand, Arnaud; Moyano, Marta; Rykaczewski, Ryan R.; Takasuka, Akinori; van der Lingen, Carl D. (Peer reviewed; Journal article, 2020) -
Temperature and prey density drive growth and otolith formation of the world's most valuable fish stock
Ofelio, Claudia; Moyano, Marta; Sswat, Michael; Rioual, Fanny; Moullec, Fabien; Aguirre Velarde, Arturo; Peck, Myron A. (Peer reviewed; Journal article, 2023)Peruvian anchovy (Engraulis ringens) represents the largest single-species fishery worldwide. Knowledge on how temperature and prey availability influences growth and age estimation during marine fish early life stages is ... -
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
Goodwin, Morten; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen; Thorbjørnsen, Susanna Huneide (Peer reviewed; Journal article, 2022)The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from ...