FN Archimer Export Format PT J TI Remote Predictions of Mahi-Mahi (Coryphaena hippurus) Spawning in the Open Ocean Using Summarized Accelerometry Data BT AF Schlenker, Lela S. Faillettaz, Robin Stieglitz, John D. Lam, Chi Hin Hoenig, Ronald H. Cox, Georgina K. Heuer, Rachael M. Pasparakis, Christina Benetti, Daniel D. Paris, Claire B. Grosell, Martin AS 1:1;2:2;3:3;4:4;5:3;6:1;7:1;8:1;9:3;10:2;11:1; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:; C1 Department of Marine Biology and Ecology, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United States Department of Ocean Sciences, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United States Department of Marine Ecosystems and Society, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United States Large Pelagics Research Center, School for the Environment, University of Massachusetts Boston, Gloucester, MA, United States C2 UNIV MIAMI, USA UNIV MIAMI, USA UNIV MIAMI, USA UNIV MASSACHUSETTS, USA IN DOAJ IF 5.247 TC 10 UR https://archimer.ifremer.fr/doc/00683/79511/82225.pdf LA English DT Article DE ;reproductive ecology;pop-up satellite archival tag (PSAT);pelagic;spawning;migration AB Identifying complex behaviors such as spawning and fine-scale activity is extremely challenging in highly migratory fish species and is becoming increasingly critical knowledge for fisheries management in a warming ocean. Habitat use and migratory pathways have been extensively studied in marine animals using pop-up satellite archival tags (PSATs), but high-frequency data collected on the reproductive and swimming behaviors of marine fishes has been limited by the inability to remotely transmit these large datasets. Here, we present the first application of remotely transmitted acceleration data to predict spawning and discover drivers of high activity in a wild and highly migratory pelagic fish, the mahi-mahi (Coryphaena hippurus). Spawning events were predicted to occur at nighttime, at a depth distinct from non-spawning periods, primarily between 27.5 and 30°C, and chiefly at the new moon phase in the lunar cycle. Moreover, throughout their large-scale migrations, mahi-mahi exhibited behavioral thermoregulation to remain largely between 27 and 28°C and reduced their relative activity at higher temperatures. These results show that unveiling fine-scale activity patterns are necessary to grasp the ecology of highly mobile species. Further, our study demonstrates that critical, and new, ecological information can be extracted from PSATs, greatly expanding their potential to study the reproductive behavior and population connectivity in highly migratory fishes. PY 2021 PD MAR SO Frontiers In Marine Science SN 2296-7745 PU Frontiers Media SA VL 8 IS 626082 UT 000628761000001 DI 10.3389/fmars.2021.626082 ID 79511 ER EF