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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 在西太平洋(中国南海)记录到的德拉尼亚加拉喙鲸(Mesoplodon hotaula)的回声定位信号显示了物种特异性和种内变异
IF 2 3区 生物学 Q2 MARINE & FRESHWATER BIOLOGY Pub Date : 2024-09-04 DOI: 10.1111/mms.13179
Lijun Dong, Yuhang Song, Wenzhi Lin, Mingming Liu, Mingli Lin, Songhai Li

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.

德拉尼亚加拉喙鲸(Mesoplodon hotaula)是最不为人所知的喙鲸物种之一,迄今仅有少数可能的活体目击记录。在此,利用漂流记录系统记录了德拉尼亚加拉喙鲸的发声,以确认该鲸鱼于 2021 年在中国南海北部(SCS)出现过。共使用了 699 个合格的调频(FM)脉冲来计算频率和持续时间测量值。调频脉冲的峰值频率中位数为 43.3 kHz,脉冲间距(IPI)中位数为 244.6 ms。频谱测量和聚类分析均表明,所记录的咔嗒声与巴尔米拉环礁的喙鲸(推测属于德拉尼亚加拉喙鲸)的咔嗒声非常相似。与 Ziphiidae 的其他物种相比,也观察到了种间差异。利用声学数据集区分德拉尼亚加拉喙鲸和银杏齿喙鲸似乎是可行的。我们的研究结果还表明,德拉尼亚加拉喙鲸可能会产生不止一种亚类型的调频脉冲。本研究首次根据经证实的目视发现描述了该物种发出的回声定位点击声。这有利于在被动声学监测记录中识别该物种,并进一步了解该物种的发声情况。
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引用次数: 0
Australian snubfin vocal activity is influenced by behavioral state and group characteristics 澳大利亚金眼鲷的发声活动受行为状态和群体特征的影响
IF 2 3区 生物学 Q2 MARINE & FRESHWATER BIOLOGY Pub Date : 2024-09-04 DOI: 10.1111/mms.13173
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.

声学交流是海洋哺乳动物生活的一个重要方面,因为它们所处的环境往往限制了视觉线索的可靠性。然而,有关澳大利亚长鳍海豚(Orcaella heinsohni)的声学交流和行为的信息却很少。本研究旨在确定澳大利亚昆士兰州菲茨罗伊河中的长吻海豚的行为状态、群体大小和凝聚力是否会对叫声频率和类型产生显著影响。我们发现,在不同的行为状态下,海豚的鸣叫率(鸣叫次数/小时/个体)和鸣叫类型都有明显变化。例如,海豚觅食时的鸣叫率要高于休息或旅行时的鸣叫率。我们还发现,群体大小和凝聚力对叫声率的影响很小,但对预测的叫声类型产生的概率影响很大。例如,据估计,当群体分布较广(10 米)时,爆发脉冲与哨音产生的概率比最高,这表明爆发脉冲在维持分散个体之间的联系方面具有潜在的重要性。这项研究首次全面分析了自然噪声条件下长吻海豚的交流与行为背景的关系,为探讨人为声学掩蔽和行为干扰在未来可能对这些海豚产生的影响奠定了基础。
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引用次数: 0
Humpback whale feeding behavior and defecation observed on the Hawaiian breeding grounds 在夏威夷繁殖地观察到的座头鲸觅食行为和排泄物
IF 2.3 3区 生物学 Q2 MARINE & FRESHWATER BIOLOGY Pub Date : 2024-09-04 DOI: 10.1111/mms.13177
Marc O. Lammers, Julia Zeh, Adam A. Pack, Eden Zang, Ed Lyman
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引用次数: 0
Recovery of South American fur seals in the central South Atlantic Ocean 南大西洋中部南美海狗的恢复情况
IF 2 3区 生物学 Q2 MARINE & FRESHWATER BIOLOGY Pub Date : 2024-09-04 DOI: 10.1111/mms.13176
M. Florencia Grandi, Viviana N. Milano
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引用次数: 0
Roger Payne 1935–2023 罗杰-佩恩 1935-2023
IF 2 3区 生物学 Q2 MARINE & FRESHWATER BIOLOGY Pub Date : 2024-09-04 DOI: 10.1111/mms.13172
Peter L. Tyack, Christopher W. Clark, Peter T. Madsen, Charles Walcott, Hal Whitehead, Bernd Würsig
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引用次数: 0
Stranded marine mammal detection by the public, trained responders, and drones using decoy carcasses 公众、训练有素的应对人员和无人机利用诱饵尸体探测搁浅的海洋哺乳动物
IF 2 3区 生物学 Q2 MARINE & FRESHWATER BIOLOGY Pub Date : 2024-09-04 DOI: 10.1111/mms.13169
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.

搁浅的海洋哺乳动物为了解散养同类的种群健康状况提供了宝贵的信息;然而,公众或训练有素的观察者发现海豚尸体的可能性并不十分清楚。为了更好地了解海豚尸体检测率(CDR),我们在阿拉巴马州多芬岛周围放置了 12 个诱饵海豚尸体,为期两周,其中一个在旅游旺季,另一个在淡季。诱饵被放置在代表不同栖息地类型(沼泽或海滩)和人类使用水平(低或高)的区域。公众的呼叫被记录下来,训练有素的观察员通过无人机、船只或 UTV 的目视观察以及步行积极搜寻诱饵。与淡季(15 起)相比,旺季(38 起)的公众报告数量是淡季(15 起)的 2.5 倍,其中大部分报告来自旺季人流量大的海滩地点(27 起)。训练有素的观察员发现的诱饵(CDR = 0.88)比公众发现的诱饵(CDR = 0.58)要多,但是公众发现了两个诱饵,而观察员没有发现。无人机搜索的成功率(CDR = 0.83)略高于其他方法(CDR = 0.79)。我们的研究结果表明,将多种监测方法结合起来可提高尸体探测效果,我们的新方法可用于各种生境类型,以改进搁浅监测、更好地估计搁浅率,并为许多物种的死亡率估计提供信息。
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引用次数: 0
Auto machine learning tools to distinguish between two killer whale ecotypes 自动机器学习工具区分两种虎鲸生态类型
IF 2 3区 生物学 Q2 MARINE & FRESHWATER BIOLOGY Pub Date : 2024-08-29 DOI: 10.1111/mms.13175
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,&nbsp;Ivan D. Fedutin,&nbsp;Erich Hoyt,&nbsp;Tatiana V. Ivkovich,&nbsp;Olga A. Filatova","doi":"10.1111/mms.13175","DOIUrl":"10.1111/mms.13175","url":null,"abstract":"&lt;p&gt;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., &lt;span&gt;1998&lt;/span&gt;, &lt;span&gt;2000&lt;/span&gt;; Pitman et al., &lt;span&gt;2011&lt;/span&gt;; Pitman &amp; Ensor, &lt;span&gt;2003&lt;/span&gt;; Saulitis et al., &lt;span&gt;2000&lt;/span&gt;). 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., &lt;span&gt;2018&lt;/span&gt;, &lt;span&gt;2019&lt;/span&gt;; Ismail et al., &lt;span&gt;2023&lt;/span&gt;). 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., &lt;span&gt;2015&lt;/span&gt;; Foote et al., &lt;span&gt;2011&lt;/span&gt;; Morin et al., &lt;span&gt;2010&lt;/span&gt;). This isolation is linked to significant variations in their morphology (Baird &amp; Stacey, &lt;span&gt;1988&lt;/span&gt;; Kotik et al., &lt;span&gt;2023&lt;/span&gt;), ecology (Bigg, &lt;span&gt;1987&lt;/span&gt;), behavior (Morton, &lt;span&gt;1990&lt;/span&gt;), acoustic communication (Deecke et al., &lt;span&gt;2005&lt;/span&gt;; Filatova, Fedutin, et al., &lt;span&gt;2015&lt;/span&gt;; Foote &amp; Nystuen, &lt;span&gt;2008&lt;/span&gt;), social structure (Baird &amp; Dill, &lt;span&gt;1996&lt;/span&gt;), diet (Borisova et al., &lt;span&gt;2020&lt;/span&gt;; Filatova et al., &lt;span&gt;2023&lt;/span&gt;; Herman et al., &lt;span&gt;2005&lt;/span&gt;), and other aspects. The genetic distinction between the ecotypes has been described both for eastern and western North Pacific (Filatova, Borisova, et al., &lt;span&gt;2015&lt;/span&gt;; Hoelzel et al., &lt;span&gt;2007&lt;/span&gt;; Morin et al., &lt;span&gt;2010&lt;/span&gt;; Parsons et al., &lt;span&gt;2013&lt;/span&gt;), but the morphological variation was studied mostly in the eastern North Pacific (Baird &amp; Stacey, &lt;span&gt;1988&lt;/span&gt;; Emmons et al., &lt;span&gt;2019&lt;/span&gt;; Kotik et al., &lt;span&gt;2023&lt;/span&gt;; Perrin et al., &lt;span&gt;2009&lt;/span&gt;). Based on these differences, a recent paper suggested to recognize them as different species (Morin et al., &lt;span&gt;2024&lt;/span&gt;).&lt;/p&gt;&lt;p&gt;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 (&lt;span&gt;2017&lt;/span&gt;) 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.&lt;/p&gt;&lt;p&gt;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}
引用次数: 0
Sequences of a possible distress call of a juvenile gray whale found in a shallow lagoon within the Gulf of California 加利福尼亚湾浅水泻湖中发现的幼年灰鲸可能发出的求救信号序列
IF 2 3区 生物学 Q2 MARINE & FRESHWATER BIOLOGY Pub Date : 2024-08-23 DOI: 10.1111/mms.13174
Braulio Leon-Lopez, Aurora Paniagua-Mendoza, Eduardo Romero-Vivas
{"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,&nbsp;Aurora Paniagua-Mendoza,&nbsp;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}
引用次数: 0
Vocal changes as indicators of pain in harbor seal pups (Phoca vitulina) 作为港海豹(Phoca vitulina)幼崽疼痛指标的声音变化
IF 2 3区 生物学 Q2 MARINE & FRESHWATER BIOLOGY Pub Date : 2024-08-21 DOI: 10.1111/mms.13170
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.

发声是动物疼痛的潜在指标。在加拿大不列颠哥伦比亚省的一家康复设施中,我们记录并分析了港海豹幼崽(Phoca vitulina)在接受鳍状肢标记和微型芯片植入等常规程序之前、期间和之后的发声。这些程序的标准做法是不使用镇痛剂。在实验 1 中,我们比较了海豹在手术前后的发声情况(n = 21);在实验 2 中,我们比较了海豹对真实手术和假手术的发声情况(n = 10)。在实验 1 中,海豹在标记后和植入芯片后发出的声音更多,峰值频率也更高。在实验 2 中,海豹在真正标记和植入微型芯片后发出的声音也更多,而在假标记和植入微型芯片后则没有。每种方法后的平均峰值频率都更高,但每种假方法后的峰值频率都不高。这些结果表明,发声次数和峰值频率的增加是海豹幼崽疼痛的指标。这些结果还表明,在可行的情况下,应考虑对接受常规鳍状标记和微型芯片植入术的幼海豹进行镇痛。
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引用次数: 0
The first record of the southbound movements of satellite-tagged pygmy blue whales (B. m. brevicauda) from Savu Sea (Indonesia) to the subantarctic waters 首次记录卫星标记的侏儒蓝鲸(B. m. brevicauda)从萨武海(印度尼西亚)向南移动到亚南极水域的情况
IF 2 3区 生物学 Q2 MARINE & FRESHWATER BIOLOGY Pub Date : 2024-08-15 DOI: 10.1111/mms.13167
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,&nbsp;I Made Jaya Ratha,&nbsp;Edy Setyawan,&nbsp;Muhammad Offal Prinanda,&nbsp;Rusydi Rusydi,&nbsp;Februanty Suyatiningsih Purnomo,&nbsp;Imam Fauzi","doi":"10.1111/mms.13167","DOIUrl":"10.1111/mms.13167","url":null,"abstract":"&lt;p&gt;Pygmy blue whales (&lt;i&gt;Balaenoptera musculus brevicauda&lt;/i&gt;) 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., &lt;span&gt;2014&lt;/span&gt;; Möller et al., &lt;span&gt;2020&lt;/span&gt;). 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.&lt;/p&gt;&lt;p&gt;The pygmy blue whale subspecies is one of the four known subspecies of blue whales (&lt;i&gt;B. musculus&lt;/i&gt;); the other ones are the Northern blue whale (&lt;i&gt;B. m. musculus&lt;/i&gt;), the Antarctic blue whale (&lt;i&gt;B. m. intermedia&lt;/i&gt;), and the Northern Indian Ocean blue whale (&lt;i&gt;B. m. indica&lt;/i&gt;) (Branch et al., &lt;span&gt;2007&lt;/span&gt;; Leslie et al., &lt;span&gt;2020&lt;/span&gt;; Samaran et al., &lt;span&gt;2013&lt;/span&gt;). A possible fifth subspecies has been observed off Chile (Branch et al., &lt;span&gt;2007&lt;/span&gt;; Leslie et al., &lt;span&gt;2020&lt;/span&gt;; Samaran et al., &lt;span&gt;2013&lt;/span&gt;), 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., &lt;span&gt;2014&lt;/span&gt;; Möller et al., &lt;span&gt;2020&lt;/span&gt;), 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, &lt;span&gt;2016&lt;/span&gt;, &lt;span&gt;2018&lt;/span&gt;). 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., &lt;span&gt;2023&lt;/span&gt;).&lt;/p&gt;&lt;p&gt;Between 2009 and 2021, 37 pygmy blue whales were tagged in western or southern Australian waters (Double et al., &lt;span&gt;2014&lt;/span&gt;; Möller et al., &lt;span&gt;2020&lt;/span&gt;; Owen et al., &lt;span&gt;2016&lt;/span&gt;; Thums et al., &lt;span&gt;2022&lt;/span&gt;). All tagged whales exhibited the northbound migration towards the Indonesian waters (Double et al., &lt;span&gt;2014&lt;/span&gt;; Möller et al., &lt;span&gt;2020&lt;/span&gt;). 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., &lt;span&gt;2020&lt;/span&gt;).&lt;/p&gt;&lt;p&gt;The satellite tagging data suggest that the southbound migration back to the Australian waters started in mid-September 2020 (Thums et al., &lt;span&gt;2022&lt;/span&gt;). Nonetheless, only four satellite tracks were available for the return journeys of the whales to the tagging sites: ID98135 from Double et al. (&lt;span&gt;2014&lt;/span&gt;), ID123229 and ID123233 from Möller et al. (&lt;span&gt;2020&lt;/span&gt;), and ID 182657 from Thums et al. (&lt;span&gt;2022&lt;/span&gt;).&lt;/p&gt;&lt;p&gt;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}
引用次数: 0
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Marine Mammal Science
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