Remote Predictions of Mahi-Mahi (Coryphaena hippurus) Spawning in the Open Ocean Using Summarized Accelerometry Data
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 ani...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-03-01
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| Series: | Frontiers in Marine Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2021.626082/full |
| _version_ | 1818619699096715264 |
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| author | Lela S. Schlenker Robin Faillettaz John D. Stieglitz Chi Hin Lam Ronald H. Hoenig Georgina K. Cox Rachael M. Heuer Christina Pasparakis Daniel D. Benetti Claire B. Paris Martin Grosell |
| author_facet | Lela S. Schlenker Robin Faillettaz John D. Stieglitz Chi Hin Lam Ronald H. Hoenig Georgina K. Cox Rachael M. Heuer Christina Pasparakis Daniel D. Benetti Claire B. Paris Martin Grosell |
| author_sort | Lela S. Schlenker |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T17:41:38Z |
| format | Article |
| id | doaj.art-af21b19ca9e14bf4aa58d8d2464416be |
| institution | Directory Open Access Journal |
| issn | 2296-7745 |
| language | English |
| last_indexed | 2024-12-16T17:41:38Z |
| publishDate | 2021-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj.art-af21b19ca9e14bf4aa58d8d2464416be2022-12-21T22:22:36ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452021-03-01810.3389/fmars.2021.626082626082Remote Predictions of Mahi-Mahi (Coryphaena hippurus) Spawning in the Open Ocean Using Summarized Accelerometry DataLela S. Schlenker0Robin Faillettaz1John D. Stieglitz2Chi Hin Lam3Ronald H. Hoenig4Georgina K. Cox5Rachael M. Heuer6Christina Pasparakis7Daniel D. Benetti8Claire B. Paris9Martin Grosell10Department of Marine Biology and Ecology, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United StatesDepartment of Ocean Sciences, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United StatesDepartment of Marine Ecosystems and Society, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United StatesLarge Pelagics Research Center, School for the Environment, University of Massachusetts Boston, Gloucester, MA, United StatesDepartment of Marine Ecosystems and Society, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United StatesDepartment of Marine Biology and Ecology, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United StatesDepartment of Marine Biology and Ecology, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United StatesDepartment of Marine Biology and Ecology, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United StatesDepartment of Marine Ecosystems and Society, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United StatesDepartment of Ocean Sciences, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United StatesDepartment of Marine Biology and Ecology, University of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United StatesIdentifying 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.https://www.frontiersin.org/articles/10.3389/fmars.2021.626082/fullreproductive ecologypop-up satellite archival tag (PSAT)pelagicspawningmigration |
| spellingShingle | Lela S. Schlenker Robin Faillettaz John D. Stieglitz Chi Hin Lam Ronald H. Hoenig Georgina K. Cox Rachael M. Heuer Christina Pasparakis Daniel D. Benetti Claire B. Paris Martin Grosell Remote Predictions of Mahi-Mahi (Coryphaena hippurus) Spawning in the Open Ocean Using Summarized Accelerometry Data Frontiers in Marine Science reproductive ecology pop-up satellite archival tag (PSAT) pelagic spawning migration |
| title | Remote Predictions of Mahi-Mahi (Coryphaena hippurus) Spawning in the Open Ocean Using Summarized Accelerometry Data |
| title_full | Remote Predictions of Mahi-Mahi (Coryphaena hippurus) Spawning in the Open Ocean Using Summarized Accelerometry Data |
| title_fullStr | Remote Predictions of Mahi-Mahi (Coryphaena hippurus) Spawning in the Open Ocean Using Summarized Accelerometry Data |
| title_full_unstemmed | Remote Predictions of Mahi-Mahi (Coryphaena hippurus) Spawning in the Open Ocean Using Summarized Accelerometry Data |
| title_short | Remote Predictions of Mahi-Mahi (Coryphaena hippurus) Spawning in the Open Ocean Using Summarized Accelerometry Data |
| title_sort | remote predictions of mahi mahi coryphaena hippurus spawning in the open ocean using summarized accelerometry data |
| topic | reproductive ecology pop-up satellite archival tag (PSAT) pelagic spawning migration |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2021.626082/full |
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