Deraniyagala's beaked whale (Mesoplodon hotaula) is one of the least-known beaked whale species, with only a few of possible live sightings being documented to date. Here, vocalizations of Deraniyagala's beaked whales were recorded using drifting recording systems in the confirmed presence of this whale in the northern South China Sea (SCS) in 2021. A total of 699 qualified frequency-modulated (FM) pulses were used to calculate frequency and duration measurements. FM pulses had a median peak frequency of 43.3 kHz and median interpulse interval (IPI) of 244.6 ms. Both the spectra measurements and clustering analysis showed the recorded clicks closely resemble the clicks of beaked whales at Palmyra Atoll (presumed to belong to Deraniyagala's beaked whale). Compared with other Ziphiidae species, interspecific differences were also observed. Distinguishing between Deraniyagala's and ginkgo-toothed (M. ginkgodens) beaked whales with acoustic data sets seems to prove feasible. Our results also suggested that Deraniyagala's beaked whales may produce more than one subtype of FM pulses. This study presents the first description of echolocation clicks produced by this species based on the confirmed visual sightings. It is beneficial to identify the species in passive acoustic monitoring records and gain further insight into this species' vocalizations.
{"title":"Echolocation signals recorded in the presence of Deraniyagala's beaked whales (Mesoplodon hotaula) in the western Pacific (South China Sea) indicate species-specificity and intraspecific variation","authors":"Lijun Dong, Yuhang Song, Wenzhi Lin, Mingming Liu, Mingli Lin, Songhai Li","doi":"10.1111/mms.13179","DOIUrl":"10.1111/mms.13179","url":null,"abstract":"<p>Deraniyagala's beaked whale (<i>Mesoplodon hotaula</i>) is one of the least-known beaked whale species, with only a few of possible live sightings being documented to date. Here, vocalizations of Deraniyagala's beaked whales were recorded using drifting recording systems in the confirmed presence of this whale in the northern South China Sea (SCS) in 2021. A total of 699 qualified frequency-modulated (FM) pulses were used to calculate frequency and duration measurements. FM pulses had a median peak frequency of 43.3 kHz and median interpulse interval (IPI) of 244.6 ms. Both the spectra measurements and clustering analysis showed the recorded clicks closely resemble the clicks of beaked whales at Palmyra Atoll (presumed to belong to Deraniyagala's beaked whale). Compared with other Ziphiidae species, interspecific differences were also observed. Distinguishing between Deraniyagala's and ginkgo-toothed (<i>M. ginkgodens</i>) beaked whales with acoustic data sets seems to prove feasible. Our results also suggested that Deraniyagala's beaked whales may produce more than one subtype of FM pulses. This study presents the first description of echolocation clicks produced by this species based on the confirmed visual sightings. It is beneficial to identify the species in passive acoustic monitoring records and gain further insight into this species' vocalizations.</p>","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"41 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renae Banfield, Daniele Cagnazzi, Nathan Johnston, Katherine L. Indeck
Acoustic communication is an important aspect of life for marine mammals, as their environment often limits the reliability of visual cues. However, there is little information regarding the acoustic communication and behavior of Australian snubfin dolphins (Orcaella heinsohni). This study was designed to determine if call rate and type were significantly affected by the behavioral state, group size, and cohesion of snubfin dolphins in the Fitzroy River in Queensland, Australia. We found that dolphins significantly modified both call rate (calls/hour/individual) and call type among behavioral states. For example, call rates were higher when dolphins were foraging versus resting or traveling. We also found that group size and cohesion had minimal effects on call rate, but significantly affected the predicted probabilities of call type production. For example, the probability ratio of burst pulse to whistle production is estimated to be highest when groups are widespread (>10 m), indicating the potential importance of burst pulses in maintaining contact between dispersed individuals. This study presents the first comprehensive analysis of snubfin dolphin communication under natural noise conditions in relation to behavioral context, which provides a foundation to explore how anthropogenic acoustic masking and behavioral disturbances may affect these dolphins in the future.
{"title":"Australian snubfin vocal activity is influenced by behavioral state and group characteristics","authors":"Renae Banfield, Daniele Cagnazzi, Nathan Johnston, Katherine L. Indeck","doi":"10.1111/mms.13173","DOIUrl":"10.1111/mms.13173","url":null,"abstract":"<p>Acoustic communication is an important aspect of life for marine mammals, as their environment often limits the reliability of visual cues. However, there is little information regarding the acoustic communication and behavior of Australian snubfin dolphins (<i>Orcaella heinsohni</i>). This study was designed to determine if call rate and type were significantly affected by the behavioral state, group size, and cohesion of snubfin dolphins in the Fitzroy River in Queensland, Australia. We found that dolphins significantly modified both call rate (calls/hour/individual) and call type among behavioral states. For example, call rates were higher when dolphins were foraging versus resting or traveling. We also found that group size and cohesion had minimal effects on call rate, but significantly affected the predicted probabilities of call type production. For example, the probability ratio of burst pulse to whistle production is estimated to be highest when groups are widespread (>10 m), indicating the potential importance of burst pulses in maintaining contact between dispersed individuals. This study presents the first comprehensive analysis of snubfin dolphin communication under natural noise conditions in relation to behavioral context, which provides a foundation to explore how anthropogenic acoustic masking and behavioral disturbances may affect these dolphins in the future.</p>","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"41 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mms.13173","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marc O. Lammers, Julia Zeh, Adam A. Pack, Eden Zang, Ed Lyman
{"title":"Humpback whale feeding behavior and defecation observed on the Hawaiian breeding grounds","authors":"Marc O. Lammers, Julia Zeh, Adam A. Pack, Eden Zang, Ed Lyman","doi":"10.1111/mms.13177","DOIUrl":"https://doi.org/10.1111/mms.13177","url":null,"abstract":"","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"24 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recovery of South American fur seals in the central South Atlantic Ocean","authors":"M. Florencia Grandi, Viviana N. Milano","doi":"10.1111/mms.13176","DOIUrl":"10.1111/mms.13176","url":null,"abstract":"","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"41 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mary J. Ponti, Mackenzie L. Russell, Cristina Díaz Clark, Carl S. Cloyed, Ruth H. Carmichael, Christina L. Johnson, Jennifer C. G. Bloodgood
Stranded marine mammals provide valuable insight into population health of free-ranging conspecifics; however, the likelihood of carcass detection by the public or trained observers is not well known. To better understand carcass detection rates (CDR), we placed twelve decoy dolphin carcasses around Dauphin Island, Alabama, for 2 weeks, one during peak tourist season and one during the off season. Decoys were placed in regions representing different habitat types (marsh or beach) and levels of human use (low or high). Calls from the public were recorded, and trained observers actively searched for decoys via drone and visual observation either by vessel or UTV and walking. There were 2.5 times more public reports during the peak (n = 38) compared to off season (n = 15), with most reports being from the high-traffic beach site during peak season (n = 27). Trained observers found more decoys (CDR = 0.88) than the public (CDR = 0.58), however, the public found two decoys that observers did not. Drone searches were slightly more successful (CDR = 0.83) than other methods (CDR = 0.79). Our results indicate that a combination of surveillance methods will enhance carcass detection, and our novel methods can be used across habitat types to improve stranding surveillance, better estimate stranding rates, and inform mortality estimates of many species.
{"title":"Stranded marine mammal detection by the public, trained responders, and drones using decoy carcasses","authors":"Mary J. Ponti, Mackenzie L. Russell, Cristina Díaz Clark, Carl S. Cloyed, Ruth H. Carmichael, Christina L. Johnson, Jennifer C. G. Bloodgood","doi":"10.1111/mms.13169","DOIUrl":"10.1111/mms.13169","url":null,"abstract":"<p>Stranded marine mammals provide valuable insight into population health of free-ranging conspecifics; however, the likelihood of carcass detection by the public or trained observers is not well known. To better understand carcass detection rates (CDR), we placed twelve decoy dolphin carcasses around Dauphin Island, Alabama, for 2 weeks, one during peak tourist season and one during the off season. Decoys were placed in regions representing different habitat types (marsh or beach) and levels of human use (low or high). Calls from the public were recorded, and trained observers actively searched for decoys via drone and visual observation either by vessel or UTV and walking. There were 2.5 times more public reports during the peak (<i>n</i> = 38) compared to off season (<i>n</i> = 15), with most reports being from the high-traffic beach site during peak season (<i>n</i> = 27). Trained observers found more decoys (CDR = 0.88) than the public (CDR = 0.58), however, the public found two decoys that observers did not. Drone searches were slightly more successful (CDR = 0.83) than other methods (CDR = 0.79). Our results indicate that a combination of surveillance methods will enhance carcass detection, and our novel methods can be used across habitat types to improve stranding surveillance, better estimate stranding rates, and inform mortality estimates of many species.</p>","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"41 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohamed E. Ismail, Ivan D. Fedutin, Erich Hoyt, Tatiana V. Ivkovich, Olga A. Filatova
<p>The killer whale, despite being considered a single species, exhibits various ecotypes (genetically and ecologically distinct populations), that focus on a specific type of prey (Ford et al., <span>1998</span>, <span>2000</span>; Pitman et al., <span>2011</span>; Pitman & Ensor, <span>2003</span>; Saulitis et al., <span>2000</span>). In the northwestern Pacific, killer whales comprise two ecotypes: residents or R-type (fish-eaters) and transients, also called Bigg's killer whales, or T-type (mammal-eaters) (Filatova et al., <span>2018</span>, <span>2019</span>; Ismail et al., <span>2023</span>). These ecotypes are frequently found in the same areas, but they do not engage in social activities and are reproductively isolated (Filatova, Borisova, et al., <span>2015</span>; Foote et al., <span>2011</span>; Morin et al., <span>2010</span>). This isolation is linked to significant variations in their morphology (Baird & Stacey, <span>1988</span>; Kotik et al., <span>2023</span>), ecology (Bigg, <span>1987</span>), behavior (Morton, <span>1990</span>), acoustic communication (Deecke et al., <span>2005</span>; Filatova, Fedutin, et al., <span>2015</span>; Foote & Nystuen, <span>2008</span>), social structure (Baird & Dill, <span>1996</span>), diet (Borisova et al., <span>2020</span>; Filatova et al., <span>2023</span>; Herman et al., <span>2005</span>), and other aspects. The genetic distinction between the ecotypes has been described both for eastern and western North Pacific (Filatova, Borisova, et al., <span>2015</span>; Hoelzel et al., <span>2007</span>; Morin et al., <span>2010</span>; Parsons et al., <span>2013</span>), but the morphological variation was studied mostly in the eastern North Pacific (Baird & Stacey, <span>1988</span>; Emmons et al., <span>2019</span>; Kotik et al., <span>2023</span>; Perrin et al., <span>2009</span>). Based on these differences, a recent paper suggested to recognize them as different species (Morin et al., <span>2024</span>).</p><p>Even with these differences, Russian fisheries institutes have been refusing to recognize the existence of two separate ecotypes and the need for their separate assessment. For example, Boltnev (<span>2017</span>) claimed that ecotypes are an artifact of research methods or even a figment of the imagination of the scientists who described this phenomenon. For this reason, VNIRO (Russian Federal Research Institute of Fisheries and Oceanography) still estimates the abundance of both killer whale ecotypes as a single population. This is partly due to the fact that morphological differences between ecotypes are not immediately obvious to a non-specialist when observing whales at sea. Unfortunately, to date, there are no automated techniques capable of easily identifying these two ecotypes in photos without the time-consuming process of digitizing fin contours.</p><p>Machine learning (ML), a subfield of artificial intelligence, especially convolutional neural network (C
{"title":"Auto machine learning tools to distinguish between two killer whale ecotypes","authors":"Mohamed E. Ismail, Ivan D. Fedutin, Erich Hoyt, Tatiana V. Ivkovich, Olga A. Filatova","doi":"10.1111/mms.13175","DOIUrl":"10.1111/mms.13175","url":null,"abstract":"<p>The killer whale, despite being considered a single species, exhibits various ecotypes (genetically and ecologically distinct populations), that focus on a specific type of prey (Ford et al., <span>1998</span>, <span>2000</span>; Pitman et al., <span>2011</span>; Pitman & Ensor, <span>2003</span>; Saulitis et al., <span>2000</span>). In the northwestern Pacific, killer whales comprise two ecotypes: residents or R-type (fish-eaters) and transients, also called Bigg's killer whales, or T-type (mammal-eaters) (Filatova et al., <span>2018</span>, <span>2019</span>; Ismail et al., <span>2023</span>). These ecotypes are frequently found in the same areas, but they do not engage in social activities and are reproductively isolated (Filatova, Borisova, et al., <span>2015</span>; Foote et al., <span>2011</span>; Morin et al., <span>2010</span>). This isolation is linked to significant variations in their morphology (Baird & Stacey, <span>1988</span>; Kotik et al., <span>2023</span>), ecology (Bigg, <span>1987</span>), behavior (Morton, <span>1990</span>), acoustic communication (Deecke et al., <span>2005</span>; Filatova, Fedutin, et al., <span>2015</span>; Foote & Nystuen, <span>2008</span>), social structure (Baird & Dill, <span>1996</span>), diet (Borisova et al., <span>2020</span>; Filatova et al., <span>2023</span>; Herman et al., <span>2005</span>), and other aspects. The genetic distinction between the ecotypes has been described both for eastern and western North Pacific (Filatova, Borisova, et al., <span>2015</span>; Hoelzel et al., <span>2007</span>; Morin et al., <span>2010</span>; Parsons et al., <span>2013</span>), but the morphological variation was studied mostly in the eastern North Pacific (Baird & Stacey, <span>1988</span>; Emmons et al., <span>2019</span>; Kotik et al., <span>2023</span>; Perrin et al., <span>2009</span>). Based on these differences, a recent paper suggested to recognize them as different species (Morin et al., <span>2024</span>).</p><p>Even with these differences, Russian fisheries institutes have been refusing to recognize the existence of two separate ecotypes and the need for their separate assessment. For example, Boltnev (<span>2017</span>) claimed that ecotypes are an artifact of research methods or even a figment of the imagination of the scientists who described this phenomenon. For this reason, VNIRO (Russian Federal Research Institute of Fisheries and Oceanography) still estimates the abundance of both killer whale ecotypes as a single population. This is partly due to the fact that morphological differences between ecotypes are not immediately obvious to a non-specialist when observing whales at sea. Unfortunately, to date, there are no automated techniques capable of easily identifying these two ecotypes in photos without the time-consuming process of digitizing fin contours.</p><p>Machine learning (ML), a subfield of artificial intelligence, especially convolutional neural network (C","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"41 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mms.13175","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sequences of a possible distress call of a juvenile gray whale found in a shallow lagoon within the Gulf of California","authors":"Braulio Leon-Lopez, Aurora Paniagua-Mendoza, Eduardo Romero-Vivas","doi":"10.1111/mms.13174","DOIUrl":"10.1111/mms.13174","url":null,"abstract":"","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"41 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amelia Mari MacRae, I. Joanna Makowska, David Fraser
Vocalizations are potential indicators of pain in animals. We recorded and analyzed spectrographically the vocalizations of harbor seal pups (Phoca vitulina) before, during, and after the routine procedures of flipper tagging and microchipping prior to release from a rehabilitation facility in British Columbia, Canada. It is standard practice for these procedures to be done without analgesia. In Experiment 1, we compared vocalizations before and after the procedures (n = 21); in Experiment 2, we compared vocalizations in response to real and sham procedures (n = 10). In Experiment 1, seals produced more vocalizations, and peak frequency was higher, after tagging and after microchipping. In Experiment 2, seals also produced more vocalizations after real but not after sham tagging and microchipping. The average peak frequency was higher after each procedure, but not after each sham procedure. These results suggest that an increase in the number and peak frequency of vocalizations are indicators of pain in seal pups. The results also suggest that analgesia, when feasible, should be considered for harbor seal pups undergoing routine flipper tagging and microchipping.
{"title":"Vocal changes as indicators of pain in harbor seal pups (Phoca vitulina)","authors":"Amelia Mari MacRae, I. Joanna Makowska, David Fraser","doi":"10.1111/mms.13170","DOIUrl":"10.1111/mms.13170","url":null,"abstract":"<p>Vocalizations are potential indicators of pain in animals. We recorded and analyzed spectrographically the vocalizations of harbor seal pups (<i>Phoca vitulina</i>) before, during, and after the routine procedures of flipper tagging and microchipping prior to release from a rehabilitation facility in British Columbia, Canada. It is standard practice for these procedures to be done without analgesia. In Experiment 1, we compared vocalizations before and after the procedures (<i>n</i> = 21); in Experiment 2, we compared vocalizations in response to real and sham procedures (<i>n</i> = 10). In Experiment 1, seals produced more vocalizations, and peak frequency was higher, after tagging and after microchipping. In Experiment 2, seals also produced more vocalizations after real but not after sham tagging and microchipping. The average peak frequency was higher after each procedure, but not after each sham procedure. These results suggest that an increase in the number and peak frequency of vocalizations are indicators of pain in seal pups. The results also suggest that analgesia, when feasible, should be considered for harbor seal pups undergoing routine flipper tagging and microchipping.</p>","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"41 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Putu Liza Kusuma Mustika, I Made Jaya Ratha, Edy Setyawan, Muhammad Offal Prinanda, Rusydi Rusydi, Februanty Suyatiningsih Purnomo, Imam Fauzi
<p>Pygmy blue whales (<i>Balaenoptera musculus brevicauda</i>) are known to conduct annual migrations between the southern and western waters of Australia to the Banda Sea via the Savu Sea in Indonesia (Double et al., <span>2014</span>; Möller et al., <span>2020</span>). However, the journey back to Australian waters is rarely documented, often due to limited battery life of satellite tags deployed in Australian waters or inadequate funding to conduct satellite tracking studies originating in the Indonesian waters.</p><p>The pygmy blue whale subspecies is one of the four known subspecies of blue whales (<i>B. musculus</i>); the other ones are the Northern blue whale (<i>B. m. musculus</i>), the Antarctic blue whale (<i>B. m. intermedia</i>), and the Northern Indian Ocean blue whale (<i>B. m. indica</i>) (Branch et al., <span>2007</span>; Leslie et al., <span>2020</span>; Samaran et al., <span>2013</span>). A possible fifth subspecies has been observed off Chile (Branch et al., <span>2007</span>; Leslie et al., <span>2020</span>; Samaran et al., <span>2013</span>), but it has not been officially recognized. The Australian population of pygmy blue whales has been shown to conduct regular migrations between the southern and western waters of Australia, the Savu Sea, Timor Sea, and Banda Sea (Double et al., <span>2014</span>; Möller et al., <span>2020</span>), while some videos uploaded in September 2016 and November 2018 suggest that the Banda Sea might be an important nursing ground for this subspecies (Pindito, <span>2016</span>, <span>2018</span>). In the Timor Sea, the Timor Trough south of Timor-Leste was identified as a likely feeding area for pygmy blue whales during the late austral winter and early austral spring (Burton et al., <span>2023</span>).</p><p>Between 2009 and 2021, 37 pygmy blue whales were tagged in western or southern Australian waters (Double et al., <span>2014</span>; Möller et al., <span>2020</span>; Owen et al., <span>2016</span>; Thums et al., <span>2022</span>). All tagged whales exhibited the northbound migration towards the Indonesian waters (Double et al., <span>2014</span>; Möller et al., <span>2020</span>). Most of the whales migrated to the Banda Sea via the Savu Sea or Timor Sea, although one whale was not recorded to migrate to the Banda Sea and migrated to south Java instead (Möller et al., <span>2020</span>).</p><p>The satellite tagging data suggest that the southbound migration back to the Australian waters started in mid-September 2020 (Thums et al., <span>2022</span>). Nonetheless, only four satellite tracks were available for the return journeys of the whales to the tagging sites: ID98135 from Double et al. (<span>2014</span>), ID123229 and ID123233 from Möller et al. (<span>2020</span>), and ID 182657 from Thums et al. (<span>2022</span>).</p><p>Here we report the results of the first two Australian pygmy blue whales satellite-tagged in their wintering area: (1) a full migration between Indonesia and the s
{"title":"The first record of the southbound movements of satellite-tagged pygmy blue whales (B. m. brevicauda) from Savu Sea (Indonesia) to the subantarctic waters","authors":"Putu Liza Kusuma Mustika, I Made Jaya Ratha, Edy Setyawan, Muhammad Offal Prinanda, Rusydi Rusydi, Februanty Suyatiningsih Purnomo, Imam Fauzi","doi":"10.1111/mms.13167","DOIUrl":"10.1111/mms.13167","url":null,"abstract":"<p>Pygmy blue whales (<i>Balaenoptera musculus brevicauda</i>) are known to conduct annual migrations between the southern and western waters of Australia to the Banda Sea via the Savu Sea in Indonesia (Double et al., <span>2014</span>; Möller et al., <span>2020</span>). However, the journey back to Australian waters is rarely documented, often due to limited battery life of satellite tags deployed in Australian waters or inadequate funding to conduct satellite tracking studies originating in the Indonesian waters.</p><p>The pygmy blue whale subspecies is one of the four known subspecies of blue whales (<i>B. musculus</i>); the other ones are the Northern blue whale (<i>B. m. musculus</i>), the Antarctic blue whale (<i>B. m. intermedia</i>), and the Northern Indian Ocean blue whale (<i>B. m. indica</i>) (Branch et al., <span>2007</span>; Leslie et al., <span>2020</span>; Samaran et al., <span>2013</span>). A possible fifth subspecies has been observed off Chile (Branch et al., <span>2007</span>; Leslie et al., <span>2020</span>; Samaran et al., <span>2013</span>), but it has not been officially recognized. The Australian population of pygmy blue whales has been shown to conduct regular migrations between the southern and western waters of Australia, the Savu Sea, Timor Sea, and Banda Sea (Double et al., <span>2014</span>; Möller et al., <span>2020</span>), while some videos uploaded in September 2016 and November 2018 suggest that the Banda Sea might be an important nursing ground for this subspecies (Pindito, <span>2016</span>, <span>2018</span>). In the Timor Sea, the Timor Trough south of Timor-Leste was identified as a likely feeding area for pygmy blue whales during the late austral winter and early austral spring (Burton et al., <span>2023</span>).</p><p>Between 2009 and 2021, 37 pygmy blue whales were tagged in western or southern Australian waters (Double et al., <span>2014</span>; Möller et al., <span>2020</span>; Owen et al., <span>2016</span>; Thums et al., <span>2022</span>). All tagged whales exhibited the northbound migration towards the Indonesian waters (Double et al., <span>2014</span>; Möller et al., <span>2020</span>). Most of the whales migrated to the Banda Sea via the Savu Sea or Timor Sea, although one whale was not recorded to migrate to the Banda Sea and migrated to south Java instead (Möller et al., <span>2020</span>).</p><p>The satellite tagging data suggest that the southbound migration back to the Australian waters started in mid-September 2020 (Thums et al., <span>2022</span>). Nonetheless, only four satellite tracks were available for the return journeys of the whales to the tagging sites: ID98135 from Double et al. (<span>2014</span>), ID123229 and ID123233 from Möller et al. (<span>2020</span>), and ID 182657 from Thums et al. (<span>2022</span>).</p><p>Here we report the results of the first two Australian pygmy blue whales satellite-tagged in their wintering area: (1) a full migration between Indonesia and the s","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"41 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mms.13167","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142206361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}