Bianca M. Righi, Julio E. Baumgarten, Maria Emilia Morete, Rafaela C. F. Souza, Milton C. C. Marcondes, Renata S. Sousa-Lima, Niel N. Teixeira, Fernanda A. S. Tonolli, Maria Isabel C. Gonçalves
After the worldwide moratorium on whaling, humpback whale populations began to recover, reoccupying former areas of use, as also observed on the Brazilian coast. Abrolhos Bank represents the area of greatest humpback whale concentration but the number of individuals to the north has increased, as has happened in the region of Serra Grande. To compare relative abundance, habitat use, and movement patterns between a well-established breeding and a reoccupation area, visual monitoring from land-based stations was performed: 160 days in the Abrolhos Archipelago located on the Abrolhos Bank and 133 days in Serra Grande in 2014, 2015, 2018, and 2019. While relative abundance varied annually in the Abrolhos Archipelago, it gradually increased in Serra Grande, surpassing the number registered in Abrolhos in 2019. Group composition frequency was similar between areas except for mother and calf accompanied by one or more escorts, which were more frequent in Abrolhos. Despite similar movement speed and linearity values, whales in Serra Grande had a higher reorientation rate. Monitoring different areas occupied by this population supports decisions about spatial management of the Brazilian coast in relation to the implementation of anthropogenic activities, especially in areas where whales have recently returned to occupy.
在全球暂停捕鲸之后,座头鲸的数量开始恢复,重新占领以前使用过的区域,在巴西海岸也观察到了这种情况。阿布罗尔霍斯浅滩是座头鲸最集中的区域,但北部的座头鲸数量也在增加,大塞拉地区也是如此。为了比较一个成熟的繁殖区和一个重新占领区的相对丰度、栖息地使用和移动模式,我们在陆地站进行了目视监测:2014年、2015年、2018年和2019年,在位于阿布罗尔霍斯海岸的阿布罗尔霍斯群岛进行了160天的监测,在格兰德塞拉进行了133天的监测。阿布罗尔霍斯群岛的相对丰度每年都有变化,而在格兰德塞拉则逐渐增加,2019 年超过了在阿布罗尔霍斯登记的数量。除了在阿布罗尔霍斯有更多的母鲸和幼鲸由一名或多名护卫陪同外,其他地区的群体组成频率相似。尽管移动速度和线性值相似,但 Serra Grande 鲸群的重新定向率更高。对鲸鱼种群所占据的不同区域进行监测,有助于对巴西海岸的人为活动进行空间管理,特别是在鲸鱼最近返回占据的区域。
{"title":"Exploring habitat use and movement patterns of humpback whales in a reoccupation area off Brazil: A comparison with the Abrolhos Bank","authors":"Bianca M. Righi, Julio E. Baumgarten, Maria Emilia Morete, Rafaela C. F. Souza, Milton C. C. Marcondes, Renata S. Sousa-Lima, Niel N. Teixeira, Fernanda A. S. Tonolli, Maria Isabel C. Gonçalves","doi":"10.1111/mms.13139","DOIUrl":"10.1111/mms.13139","url":null,"abstract":"<p>After the worldwide moratorium on whaling, humpback whale populations began to recover, reoccupying former areas of use, as also observed on the Brazilian coast. Abrolhos Bank represents the area of greatest humpback whale concentration but the number of individuals to the north has increased, as has happened in the region of Serra Grande. To compare relative abundance, habitat use, and movement patterns between a well-established breeding and a reoccupation area, visual monitoring from land-based stations was performed: 160 days in the Abrolhos Archipelago located on the Abrolhos Bank and 133 days in Serra Grande in 2014, 2015, 2018, and 2019. While relative abundance varied annually in the Abrolhos Archipelago, it gradually increased in Serra Grande, surpassing the number registered in Abrolhos in 2019. Group composition frequency was similar between areas except for mother and calf accompanied by one or more escorts, which were more frequent in Abrolhos. Despite similar movement speed and linearity values, whales in Serra Grande had a higher reorientation rate. Monitoring different areas occupied by this population supports decisions about spatial management of the Brazilian coast in relation to the implementation of anthropogenic activities, especially in areas where whales have recently returned to occupy.</p>","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"40 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140971843","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}
Kevin Charles Bierlich, Sagar Karki, Clara N. Bird, Alan Fern, Leigh G. Torres
Monitoring body length and body condition of individuals helps determine overall population health and assess adaptation to environmental changes. Aerial photogrammetry from drone-based videos is a valuable method for obtaining body length and body condition measurements of cetaceans. However, the laborious manual processing of drone-based videos to select frames to measure animals ultimately delays assessment of population health and hinders conservation actions. Here, we apply deep learning methods to expedite the processing of drone-based videos to improve efficiency of obtaining important morphological measurements of whales. We develop two user-friendly models to automatically (1) detect and output frames containing whales from drone-based videos (“DeteX”) and (2) extract body length and body condition measurements from input frames (“XtraX”). We use drone-based videos of gray whales to compare manual versus automated measurements (n = 86). Our results show automated methods reduced processing times by one-ninth, while achieving similar accuracy as manual measurements (mean coefficient of variation <5%). We also demonstrate how these methods are adaptable to other species and identify remaining challenges to help further improve automated measurements in the future. Importantly, these tools greatly speed up obtaining key morphological data while maintaining accuracy, which is critical for effectively monitoring population health.
{"title":"Automated body length and body condition measurements of whales from drone videos for rapid assessment of population health","authors":"Kevin Charles Bierlich, Sagar Karki, Clara N. Bird, Alan Fern, Leigh G. Torres","doi":"10.1111/mms.13137","DOIUrl":"10.1111/mms.13137","url":null,"abstract":"<p>Monitoring body length and body condition of individuals helps determine overall population health and assess adaptation to environmental changes. Aerial photogrammetry from drone-based videos is a valuable method for obtaining body length and body condition measurements of cetaceans. However, the laborious manual processing of drone-based videos to select frames to measure animals ultimately delays assessment of population health and hinders conservation actions. Here, we apply deep learning methods to expedite the processing of drone-based videos to improve efficiency of obtaining important morphological measurements of whales. We develop two user-friendly models to automatically (1) detect and output frames containing whales from drone-based videos (“DeteX”) and (2) extract body length and body condition measurements from input frames (“XtraX”). We use drone-based videos of gray whales to compare manual versus automated measurements (<i>n</i> = 86). Our results show automated methods reduced processing times by one-ninth, while achieving similar accuracy as manual measurements (mean coefficient of variation <5%). We also demonstrate how these methods are adaptable to other species and identify remaining challenges to help further improve automated measurements in the future. Importantly, these tools greatly speed up obtaining key morphological data while maintaining accuracy, which is critical for effectively monitoring population health.</p>","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"40 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mms.13137","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140939994","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}
Zoe A. Molder, William D. Halliday, Rhonda Reidy, Chloe N. Kraemer, Francis Juanes
Humpback whale (Megaptera novaeangliae) nonsong vocalizations, or social calls, are much more poorly understood than humpback song. We examined humpback whale social calls from a foraging ground in southern British Columbia (BC) and developed a catalog for humpback social calls in BC. We tagged four humpback whales on the eastern edge of Swiftsure Bank, BC, in early September 2020, with a passive acoustic and movement tag. We manually classified 32 call types in our data set based on comparisons with published classifications of humpback social calls. Many of the calls identified in our data set had similar characteristics to calls from other locations. We also used two statistical classification methods, a cluster analysis and a random forest. The cluster analysis grouped 20 of these call types into four categories, and the random forest classifier was able to accurately classify all 20 call types 87.6% of the time. This study fills a geographical gap of humpback whale social calls on foraging grounds and is a first step towards categorizing the social calls of humpback whales in BC.
{"title":"Humpback whale (Megaptera novaeangliae) social calls in southern British Columbia","authors":"Zoe A. Molder, William D. Halliday, Rhonda Reidy, Chloe N. Kraemer, Francis Juanes","doi":"10.1111/mms.13138","DOIUrl":"10.1111/mms.13138","url":null,"abstract":"<p>Humpback whale (<i>Megaptera novaeangliae)</i> nonsong vocalizations, or social calls, are much more poorly understood than humpback song. We examined humpback whale social calls from a foraging ground in southern British Columbia (BC) and developed a catalog for humpback social calls in BC. We tagged four humpback whales on the eastern edge of Swiftsure Bank, BC, in early September 2020, with a passive acoustic and movement tag. We manually classified 32 call types in our data set based on comparisons with published classifications of humpback social calls. Many of the calls identified in our data set had similar characteristics to calls from other locations. We also used two statistical classification methods, a cluster analysis and a random forest. The cluster analysis grouped 20 of these call types into four categories, and the random forest classifier was able to accurately classify all 20 call types 87.6% of the time. This study fills a geographical gap of humpback whale social calls on foraging grounds and is a first step towards categorizing the social calls of humpback whales in BC.</p>","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"40 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mms.13138","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140939342","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}
Victoria Pouey-Santalou, Michael Weiss, Eric Angel Ramos, Jeremy J. Kiszka, Raúl Fernando Ramírez Barragán, Andrea Jacqueline García Chavez, Katherina Audley
Rough-toothed dolphins (Steno bredanensis) typically inhabit deep oceanic waters from tropical to temperate waters worldwide. However, their ecology and behavior remain poorly understood. We investigated site fidelity and social structure of rough-toothed dolphins using photo-identification data collected between 2014 and 2022 in the continental shelf waters of the southwestern coast of Mexico. A total of 133 groups of rough-toothed dolphins were recorded. Mean group size was 4.9 individuals (SD = 4.5), and dolphins were encountered in waters of a mean depth of 110 m (SD = 188). Of 228 individuals identified, 55% were observed once, 39% were seen between two and four times, and 6% were seen five times or more. Site fidelity analysis suggests three levels of site fidelity: transients, occasional visitors, and regular visitors, which are likely to affect the social structure. Through network analysis, nonrandom social patterns were identified (S = 1.25 ± 0.26) and dolphins exhibited both preferences and avoidances of social partners. Cluster analysis suggested significant divisions within the population (Q = 0.43 ± 0.05). Despite limitations related to sample size and design, this preliminary study suggests that rough-toothed dolphins are best characterized by a fission-fusion society, which is similar to most coastal delphinid populations.
{"title":"Social structure and site fidelity of an oceanic delphinid: the rough-toothed dolphin (Steno bredanensis) off the southwest Pacific coast of Mexico","authors":"Victoria Pouey-Santalou, Michael Weiss, Eric Angel Ramos, Jeremy J. Kiszka, Raúl Fernando Ramírez Barragán, Andrea Jacqueline García Chavez, Katherina Audley","doi":"10.1111/mms.13136","DOIUrl":"10.1111/mms.13136","url":null,"abstract":"<p>Rough-toothed dolphins (<i>Steno bredanensis</i>) typically inhabit deep oceanic waters from tropical to temperate waters worldwide. However, their ecology and behavior remain poorly understood. We investigated site fidelity and social structure of rough-toothed dolphins using photo-identification data collected between 2014 and 2022 in the continental shelf waters of the southwestern coast of Mexico. A total of 133 groups of rough-toothed dolphins were recorded. Mean group size was 4.9 individuals (<i>SD</i> = 4.5), and dolphins were encountered in waters of a mean depth of 110 m (<i>SD</i> = 188). Of 228 individuals identified, 55% were observed once, 39% were seen between two and four times, and 6% were seen five times or more. Site fidelity analysis suggests three levels of site fidelity: transients, occasional visitors, and regular visitors, which are likely to affect the social structure. Through network analysis, nonrandom social patterns were identified (<i>S</i> = 1.25 ± 0.26) and dolphins exhibited both preferences and avoidances of social partners. Cluster analysis suggested significant divisions within the population (<i>Q</i> = 0.43 ± 0.05). Despite limitations related to sample size and design, this preliminary study suggests that rough-toothed dolphins are best characterized by a fission-fusion society, which is similar to most coastal delphinid populations.</p>","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"40 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140835343","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}
Georgina Whittome, John Calambokidis, Annie B. Douglas, Michael Fishbach, Richard Sears, Philip S. Hammond
Understanding the drivers of population abundance and distribution is fundamental to ecology and key to informing conservation actions, particularly in endangered species like blue whales (Balaenoptera musculus). Historically, some Eastern North Pacific blue whales have aggregated in the Gulf of California (GoC) each winter. Using photo-identification data collected around Loreto Bay from 1984 to 2020, we analyzed 453 sightings histories using mark-recapture models. Estimated apparent survival (including permanent emigration) decreased from 0.991, 95% CI [0.977, 0.997] in 1985 to 0.889, 95% CI [0.807, 0.939] in 2019. The estimated number of whales using the study area declined from 96 whales, 95% CI [50, 254] in 2012 to 13 whales, 95% CIs [12, 23 and 12, 28] in 2018 and 2019. Abundance of the whole Eastern North Pacific population is slowly increasing, so our results likely reflect declining usage of the GoC. Linear models found a relationship between the number of whales in the GoC and the difference in sea surface temperature between the study area and the Costa Rica Dome wintering area, suggesting that environmental variation could explain variation in blue whale numbers in the GoC. These results highlight the importance of tracking population dynamics as changing environmental conditions affect the range and distribution of populations.
{"title":"Changes in blue whale survival and abundance in the Gulf of California","authors":"Georgina Whittome, John Calambokidis, Annie B. Douglas, Michael Fishbach, Richard Sears, Philip S. Hammond","doi":"10.1111/mms.13132","DOIUrl":"10.1111/mms.13132","url":null,"abstract":"<p>Understanding the drivers of population abundance and distribution is fundamental to ecology and key to informing conservation actions, particularly in endangered species like blue whales (<i>Balaenoptera musculus</i>). Historically, some Eastern North Pacific blue whales have aggregated in the Gulf of California (GoC) each winter. Using photo-identification data collected around Loreto Bay from 1984 to 2020, we analyzed 453 sightings histories using mark-recapture models. Estimated apparent survival (including permanent emigration) decreased from 0.991, 95% CI [0.977, 0.997] in 1985 to 0.889, 95% CI [0.807, 0.939] in 2019. The estimated number of whales using the study area declined from 96 whales, 95% CI [50, 254] in 2012 to 13 whales, 95% CIs [12, 23 and 12, 28] in 2018 and 2019. Abundance of the whole Eastern North Pacific population is slowly increasing, so our results likely reflect declining usage of the GoC. Linear models found a relationship between the number of whales in the GoC and the difference in sea surface temperature between the study area and the Costa Rica Dome wintering area, suggesting that environmental variation could explain variation in blue whale numbers in the GoC. These results highlight the importance of tracking population dynamics as changing environmental conditions affect the range and distribution of populations.</p>","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"40 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mms.13132","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140835350","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}
Skye Wynn-Simmonds, Yann Planque, Mathilde Huon, Philip Lovell, Cécile Vincent
<p>Studying the foraging behavior of marine top predators is crucial for gaining a comprehensive understanding of their role within the ecosystem and improving management plans around their foraging habitat (Pianka, <span>1976</span>; Stearns, <span>1992</span>). Harbor seals (<i>Phoca vitulina vitulina</i>) are upper-trophic level predators belonging to the phocid family (Teilmann & Galatius, <span>2018</span>). They are commonly seen as sedentary remaining in coastal waters, although they can occasionally forage offshore in some study sites (Lesage et al., <span>2004</span>). Throughout their geographic distribution, they inhabit a wide range of habitats, relying heavily on the availability and distribution of their prey in that specific environment (Bowen & Harrison, <span>1996</span>). As a result, the harbor seal is often regarded as a generalist species with potentially individualistic foraging behavior. Many studies showed that they are benthic feeders with a diet consisting of a wide variety of prey, including various species of benthic and demersal fish, cephalopods, and crustaceans, but can occasionally forage on pelagic prey (Lesage, <span>1999</span>; Sharples et al., <span>2009</span>; Thompson, <span>1993</span>).</p><p>In the Northwest Atlantic, harbor seals are generally found in small, isolated groups (Blanchet et al., <span>2021</span>). They have been documented in the archipelago of Saint-Pierre-and-Miquelon (France) as far back as the 1940s (Templeman, <span>1957</span>). Despite the absence of prior studies on the foraging behavior of harbor seals in this area, conflicts with recreational fisheries have been noted, and managers have expressed the need to better understand the trophic ecology of these harbor seals. Therefore, this study aimed to characterize the behavior of harbor seals around Saint-Pierre-and-Miquelon by identifying their habitat selection and investigating their foraging behavior at sea (diving behavior and spatio-temporal trends at sea) around the archipelago.</p><p>Telemetry data were used to study habitat selection, foraging activity rhythm, and foraging behavior of harbor seals located at Saint-Pierre-and-Miquelon. Ten harbor seals (five females and five males) were captured in September 2019 and September 2020, and fitted with Satellite Relay Data Loggers developed by the Sea Mammal Research Unit (University of St Andrews, UK). The location data and detailed information of individuals are accessible on SEANOE (https://www.seanoe.org/data/00799/91059/). The capture method used was detailed in Vincent et al. (<span>2005</span>). The Satellite Relay Data Logger (SRDL) includes a GPS that attempts to obtain a location when at the surface, subject to a minimum interval of 20 min. In addition, the tag features a pressure sensor that enables the recording of the maximum depth, duration, and shape of each dive (<−1.5 m) as well as the time and depth delimiting the descent, bottom, and ascent phases
{"title":"Foraging behavior and habitat selection of harbor seals (Phoca vitulina vitulina) in the archipelago of Saint-Pierre-and-Miquelon, Northwest Atlantic","authors":"Skye Wynn-Simmonds, Yann Planque, Mathilde Huon, Philip Lovell, Cécile Vincent","doi":"10.1111/mms.13134","DOIUrl":"10.1111/mms.13134","url":null,"abstract":"<p>Studying the foraging behavior of marine top predators is crucial for gaining a comprehensive understanding of their role within the ecosystem and improving management plans around their foraging habitat (Pianka, <span>1976</span>; Stearns, <span>1992</span>). Harbor seals (<i>Phoca vitulina vitulina</i>) are upper-trophic level predators belonging to the phocid family (Teilmann & Galatius, <span>2018</span>). They are commonly seen as sedentary remaining in coastal waters, although they can occasionally forage offshore in some study sites (Lesage et al., <span>2004</span>). Throughout their geographic distribution, they inhabit a wide range of habitats, relying heavily on the availability and distribution of their prey in that specific environment (Bowen & Harrison, <span>1996</span>). As a result, the harbor seal is often regarded as a generalist species with potentially individualistic foraging behavior. Many studies showed that they are benthic feeders with a diet consisting of a wide variety of prey, including various species of benthic and demersal fish, cephalopods, and crustaceans, but can occasionally forage on pelagic prey (Lesage, <span>1999</span>; Sharples et al., <span>2009</span>; Thompson, <span>1993</span>).</p><p>In the Northwest Atlantic, harbor seals are generally found in small, isolated groups (Blanchet et al., <span>2021</span>). They have been documented in the archipelago of Saint-Pierre-and-Miquelon (France) as far back as the 1940s (Templeman, <span>1957</span>). Despite the absence of prior studies on the foraging behavior of harbor seals in this area, conflicts with recreational fisheries have been noted, and managers have expressed the need to better understand the trophic ecology of these harbor seals. Therefore, this study aimed to characterize the behavior of harbor seals around Saint-Pierre-and-Miquelon by identifying their habitat selection and investigating their foraging behavior at sea (diving behavior and spatio-temporal trends at sea) around the archipelago.</p><p>Telemetry data were used to study habitat selection, foraging activity rhythm, and foraging behavior of harbor seals located at Saint-Pierre-and-Miquelon. Ten harbor seals (five females and five males) were captured in September 2019 and September 2020, and fitted with Satellite Relay Data Loggers developed by the Sea Mammal Research Unit (University of St Andrews, UK). The location data and detailed information of individuals are accessible on SEANOE (https://www.seanoe.org/data/00799/91059/). The capture method used was detailed in Vincent et al. (<span>2005</span>). The Satellite Relay Data Logger (SRDL) includes a GPS that attempts to obtain a location when at the surface, subject to a minimum interval of 20 min. In addition, the tag features a pressure sensor that enables the recording of the maximum depth, duration, and shape of each dive (<−1.5 m) as well as the time and depth delimiting the descent, bottom, and ascent phases ","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"40 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mms.13134","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140835340","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}
Thomas A. Jefferson, Frederick I. Archer, Kelly M. Robertson
Neritic, long-beaked common dolphins have been described as species distinct from the more oceanic and globally distributed short-beaked species, Delphinus delphis, although recent molecular studies have challenged this view. In the eastern North Pacific (ENP), the taxonomic status of the long-beaked (bairdii) form has been controversial since its original description in 1873, and has vacillated between species, subspecies, and geographic forms several times. It is currently provisionally viewed as a subspecies of Delphinus delphis, D. d. bairdii. To clarify this situation, we reviewed the literature and conducted additional analyses using both newly obtained genetic and cranial morphometric data sets. The results indicate that there are diagnostic differences in skull morphology and coloration between the eastern Pacific long-and short-beaked forms, and near-perfect diagnosability in mitochondrial DNA. These differences, along with indications of ecological distinctions, including important differences in life history parameters and reproductive timing, indicate that these forms are well on their way down separate evolutionary pathways. As such, we consider them to be distinct species in the eastern Pacific. The long-beaked species is referable to Delphinus bairdii Dall, 1873, and is redescribed as such herein.
长喙普通海豚(Neritic)被描述为有别于海洋性较强、分布于全球的短喙海豚(Delphinus delphis)的物种,尽管最近的分子研究对这一观点提出了质疑。在北太平洋东部(ENP),长喙(bairdii)形式的分类地位自 1873 年首次描述以来一直存在争议,并多次在种、亚种和地理形式之间徘徊。目前,它暂时被视为 Delphinus delphis 的一个亚种,即 D. d. bairdii。为了澄清这一情况,我们查阅了相关文献,并利用新获得的遗传和头骨形态数据集进行了额外的分析。结果表明,东太平洋的长喙和短喙形式在头骨形态和颜色上存在诊断差异,线粒体 DNA 的诊断接近完美。这些差异以及生态学上的区别(包括生活史参数和繁殖时间上的重要差异)表明,这两种鱼类正沿着不同的进化路径前进。因此,我们认为它们是东太平洋的不同物种。长喙种指的是 Delphinus bairdii Dall,1873 年,在此对其进行重新描述。
{"title":"The long-beaked common dolphin of the eastern Pacific Ocean: Taxonomic status and redescription of Delphinus bairdii","authors":"Thomas A. Jefferson, Frederick I. Archer, Kelly M. Robertson","doi":"10.1111/mms.13133","DOIUrl":"10.1111/mms.13133","url":null,"abstract":"<p>Neritic, long-beaked common dolphins have been described as species distinct from the more oceanic and globally distributed short-beaked species, <i>Delphinus delphis</i>, although recent molecular studies have challenged this view. In the eastern North Pacific (ENP), the taxonomic status of the long-beaked (<i>bairdii</i>) form has been controversial since its original description in 1873, and has vacillated between species, subspecies, and geographic forms several times. It is currently provisionally viewed as a subspecies of <i>Delphinus delphis</i>, <i>D. d. bairdii</i>. To clarify this situation, we reviewed the literature and conducted additional analyses using both newly obtained genetic and cranial morphometric data sets. The results indicate that there are diagnostic differences in skull morphology and coloration between the eastern Pacific long-and short-beaked forms, and near-perfect diagnosability in mitochondrial DNA. These differences, along with indications of ecological distinctions, including important differences in life history parameters and reproductive timing, indicate that these forms are well on their way down separate evolutionary pathways. As such, we consider them to be distinct species in the eastern Pacific. The long-beaked species is referable to <i>Delphinus bairdii</i> Dall, 1873, and is redescribed as such herein.</p>","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"40 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mms.13133","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140835344","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}
Susannah Calderan, Oliver Boisseau, Claire Lacey, Russell Leaper, Nienke van Geel, Denise Risch
<p>Atlantic white-sided dolphins (<i>Lagenorhynchus acutus</i>) are endemic to the North Atlantic Ocean, predominantly inhabiting the cold-temperate and subpolar waters around the continental shelf and slope. Their geographic range extends from the western North Atlantic across to the eastern North Atlantic, and includes the Norwegian and North Seas, but their distribution patterns are not well-understood (Cipriano, <span>2018</span>; Vollmer et al., <span>2019</span>). There is a relatively high occurrence of mass strandings by this species, and it is also impacted by anthropogenic threats such as bycatch in a variety of gear types, including trawls and gill nets (Addink et al., <span>1997</span>; Bogomolni et al., <span>2010</span>; Couperus, <span>1997</span>; Kinze et al., <span>1997</span>; Palka et al., <span>1997</span>). Additionally, Atlantic white-sided dolphins are hunted, primarily in the Faroe Islands, where, for example, 1,428 individuals were killed in a single drive hunt in 2021 (https://nammco.no/topics/atlantic-white-sided-dolphin/; Calderan, <span>2021</span>; Fielding, <span>2021</span>). They are thus one of the most heavily exploited cetacean species in the North Atlantic, yet also one of the most poorly-understood. Passive acoustic monitoring (PAM) has the potential to contribute to knowledge on their occurrence, but there is only limited information on white-sided dolphin vocalizations (Cones et al., <span>2023</span>; Hamran, <span>2014</span>). It is therefore not currently possible to analyze the many data sets collected from acoustic moorings and towed array surveys to improve knowledge of the species' temporal and spatial distribution.</p><p>Most dolphin species produce tonal and pulsed vocalizations, including whistles, echolocation clicks, and burst pulses. Echolocation clicks are typically associated with foraging and navigation, and whistles and burst pulses with social communication (Au, <span>1993</span>; Herzing, <span>1996</span>). Whistles are frequency-modulated tonal sounds (Herman & Tavolga, <span>1980</span>). Echolocation clicks are short-duration, directional clicks (Au, <span>1993</span>); burst pulses also comprise clicks, where broadband pulsed signals with significant ultrasonic frequency components are produced with a very high repetition rate and short interclick interval (Au & Hastings, <span>2008</span>; Blomquist & Amundin, <span>2004</span>). Clicks associated with burst pulses are reported to be shorter in duration, more directional, and have lower peak and center frequencies than those associated with echolocation click trains (Au & Hastings, <span>2008</span>; Rankin et al., <span>2007</span>). All three vocalization types can include specific information useful for classifying to species level (Rankin et al., <span>2016</span>). The limited data on the clicks produced by <i>Lagenorhynchus</i> species indicate interspecies variability in their characteristics. For example, d
{"title":"A preliminary description of Atlantic white-sided dolphin (Lagenorhynchus acutus) vocalizations","authors":"Susannah Calderan, Oliver Boisseau, Claire Lacey, Russell Leaper, Nienke van Geel, Denise Risch","doi":"10.1111/mms.13135","DOIUrl":"10.1111/mms.13135","url":null,"abstract":"<p>Atlantic white-sided dolphins (<i>Lagenorhynchus acutus</i>) are endemic to the North Atlantic Ocean, predominantly inhabiting the cold-temperate and subpolar waters around the continental shelf and slope. Their geographic range extends from the western North Atlantic across to the eastern North Atlantic, and includes the Norwegian and North Seas, but their distribution patterns are not well-understood (Cipriano, <span>2018</span>; Vollmer et al., <span>2019</span>). There is a relatively high occurrence of mass strandings by this species, and it is also impacted by anthropogenic threats such as bycatch in a variety of gear types, including trawls and gill nets (Addink et al., <span>1997</span>; Bogomolni et al., <span>2010</span>; Couperus, <span>1997</span>; Kinze et al., <span>1997</span>; Palka et al., <span>1997</span>). Additionally, Atlantic white-sided dolphins are hunted, primarily in the Faroe Islands, where, for example, 1,428 individuals were killed in a single drive hunt in 2021 (https://nammco.no/topics/atlantic-white-sided-dolphin/; Calderan, <span>2021</span>; Fielding, <span>2021</span>). They are thus one of the most heavily exploited cetacean species in the North Atlantic, yet also one of the most poorly-understood. Passive acoustic monitoring (PAM) has the potential to contribute to knowledge on their occurrence, but there is only limited information on white-sided dolphin vocalizations (Cones et al., <span>2023</span>; Hamran, <span>2014</span>). It is therefore not currently possible to analyze the many data sets collected from acoustic moorings and towed array surveys to improve knowledge of the species' temporal and spatial distribution.</p><p>Most dolphin species produce tonal and pulsed vocalizations, including whistles, echolocation clicks, and burst pulses. Echolocation clicks are typically associated with foraging and navigation, and whistles and burst pulses with social communication (Au, <span>1993</span>; Herzing, <span>1996</span>). Whistles are frequency-modulated tonal sounds (Herman & Tavolga, <span>1980</span>). Echolocation clicks are short-duration, directional clicks (Au, <span>1993</span>); burst pulses also comprise clicks, where broadband pulsed signals with significant ultrasonic frequency components are produced with a very high repetition rate and short interclick interval (Au & Hastings, <span>2008</span>; Blomquist & Amundin, <span>2004</span>). Clicks associated with burst pulses are reported to be shorter in duration, more directional, and have lower peak and center frequencies than those associated with echolocation click trains (Au & Hastings, <span>2008</span>; Rankin et al., <span>2007</span>). All three vocalization types can include specific information useful for classifying to species level (Rankin et al., <span>2016</span>). The limited data on the clicks produced by <i>Lagenorhynchus</i> species indicate interspecies variability in their characteristics. For example, d","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"40 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mms.13135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140835325","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}
Arina B. Favilla, Stephanie K. Adamczak, Erin M. Fougères, Andrew Brownlow, Nicholas J. Davison, Janet Mann, William A. McLellan, D. Ann Pabst, Mariel T. I. ten Doeschate, Michael S. Tift, Randall S. Wells, Daniel P. Costa
<p>Body size is a life-history trait with significant ecological and physiological implications. As a group, marine mammals are the largest mammals on earth. The smallest marine mammal (by mass) is the marine otter (<i>Lontra felina</i>), weighing 3–5 kg (Jefferson et al., <span>2015</span>), which is over 10 times as much as the smallest terrestrial mammal, the Etruscan shrew (<i>Suncus etruscus</i>), weighing 1.8 g (Jürgens, <span>2002</span>). Similarly, for the opposite end of the size spectrum, the blue whale (<i>Balaenoptera musculus</i>)—the largest animal to have ever lived—is approximately 150,000 kg (Sears & Calambokidis, <span>2002</span>) compared to the 5,000 kg African elephant (<i>Loxodonta africana</i>; Laurson & Bekoff, <span>1978</span>). The large body size attained by marine mammals represents an evolutionary trend to balance energy costs associated with thermoregulation and foraging (Gearty et al., <span>2018</span>; Goldbogen, <span>2018</span>; Williams, <span>1999</span>) and selects for larger neonates (Christiansen et al., <span>2014</span>, <span>2018</span>). The lower limit of body size in marine mammals is thought to be constrained by the thermal demand of seawater, which conducts heat 25 times faster than air at the same temperature.</p><p>Body size largely determines surface area to volume (SA:V) ratios. Smaller animals have a larger surface area for a given volume, resulting in thermoregulatory consequences. Surface area (SA) represents the area over which heat can be lost to the environment. Volume (V) represents internal heat generation as metabolism scales with mass, which scales isometrically with volume. Large body size is advantageous for conserving heat since larger animals have lower SA:V ratios due to the scaling relationships between length, SA (length<sup>2</sup>), and V (length<sup>3</sup>) (reviewed by Ashton et al., <span>2000</span>). This scaling relationship yields a more rapid increase in V than in SA with body length (cubed vs. squared), resulting in greater heat generation and retention relative to heat dissipation. In marine mammals, species inhabiting colder climates minimize their SA:V ratio by changing body shape and/or increasing body size, which reduces heat loss compared to those in warmer climates (Adamczak et al., <span>2020</span>; Worthy & Edwards, <span>1990</span>).</p><p>This trend has been described for both terrestrial (James, <span>1970</span>) and marine mammals (Ashton et al., <span>2000</span>; Torres-Romero et al., <span>2016</span>) under Bergmann's rule. Bergmann's rule was first proposed in 1847 (Bergmann, <span>1847</span>) to explain the congeneric pattern of larger animals (specifically endotherms) in higher latitudes with colder climates. Since its conception, Bergmann's rule has also been investigated within species and across species as well as in endotherms and ectotherms, demonstrating its open criteria (Meiri, <span>2011</span>). In marine species, B
用两个对称的圆锥体计算 SA 和 V,以比较这些不同种群的体型差异(图 1)。将这一简单的几何模型与一具成年瓶鼻海豚尸体(来自大西洋中部的 244 厘米雌性)的铸模进行比较,发现几何模型低估了约 10%的表面积(铸模表面积 = 18,900.71 平方厘米;几何模型表面积 = 17,106.65 平方厘米);然而,鉴于各数据集的测量结果相同,这是最合理的方法(改编自截顶锥方法;Gales & Burton, 1987)。我们将背鳍前方或腋窝到背鳍中间的周长测量值代表最大周长的个体包括在内。我们比较了这两种数据的测量结果,但没有发现显著差异(图 S1;n = 23,V = 72,p = .57,Wilcoxon 符号秩检验;Woolson,1998 年)。如果个体缺乏直接的体长测量值(即从喙尖到鳍状突起的测量值)、发育问题限制了其体型、或在测量时由于怀孕或腐烂导致腹围测量值大于正常值,则将其排除在外。我们还检查了周长数据和 SA:V 数据中的异常值,并排除了在任一方向上超过四分位数间距 1.5 倍的个体(即 Q1-1.5 × IQR 或 Q3 + 1.5 × IQR)。选择这些排除标准是为了使数据最好地代表身体状况良好的非怀孕个体,同时考虑到在偏远地区(如鲨鱼湾)接触搁浅海豚的困难,尽可能保留较大的样本量。在佛罗里达州萨拉索塔湾进行的健康评估中测量到的海豚,如果雌性和雄性的年龄分别至少为 10 岁或 15 岁,则根据 Read 等人(1993 年)的贡珀茨生长模型的目测评估,被认为是身体成熟的海豚。由于一些萨拉索塔湾海豚一生中都有纵向测量数据,我们为每条成年海豚随机选择了一个重复测量的采样期。对每个重复测量的个体进行随机抽取,抽取概率相等。由于样本量较大(126 个成年个体的 284 项测量结果),分析中使用的非重复测量结果的随机抽取过程不会影响结果。对于没有提供生活史类别的个体,我们根据现有数据,为每个种群确定了一个按性别划分的最小成年体型(使用长度测量值),并将大于这个按性别和种群划分的最小阈值的海豚归入成年类别(表2)。其余生活史类别或性别不明的个体被排除在外。成年海豚的体长和SA:V比率用Kruskal-Wallis秩和检验进行种群间比较,如果这些检验表明存在差异,则用邓恩检验(Dunn, 1964)进行配对比较。使用非参数检验的原因是,当样本量有限时,非参数检验对正态性偏差(如图 S2 所示)更稳健(Kitchen,2009 年)。我们使用非线性最小二乘法对所有大西洋海豚的 SA 和 V 数据(SA = 常数 × V 指数)进行了非线性回归拟合,并将非线性系数(指数)与预期的几何比例关系(SA = 常数 × V2/3)进行了比较。我们还使用 R 软件包 "smatr"(Warton 等人,2012 年)对对数变换数据进行了标准化主轴(SMA)回归,以比较不同种群之间 SA 和 V 的关系以及与预期几何比例关系的关系。所有统计检验均在 R(R 核心小组,2023 年)中进行,并使用 .05 的 p 值来确定所有检验的显著性。此外,还对数据进行了目测,以证实统计结果并确定是否存在差异。为检验这些瓶鼻海豚种群是否遵循伯格曼法则,我们从欧洲共同体哥白尼海洋服务信息(数据产品 GLOBAL_MULTIYEAR_PHY_001_030,2023 年 12 月下载)中获取了 1993-2020 年的月平均海面水温(0.5 米深度;代表海面的最浅深度)。这些年份跨越了海豚采样的大部分日期,也是下载时该数据产品所能提供的完整年份。
{"title":"Examining Bergmann's rule in a cosmopolitan marine mammal, the bottlenose dolphin (Tursiops spp.)","authors":"Arina B. Favilla, Stephanie K. Adamczak, Erin M. Fougères, Andrew Brownlow, Nicholas J. Davison, Janet Mann, William A. McLellan, D. Ann Pabst, Mariel T. I. ten Doeschate, Michael S. Tift, Randall S. Wells, Daniel P. Costa","doi":"10.1111/mms.13130","DOIUrl":"10.1111/mms.13130","url":null,"abstract":"<p>Body size is a life-history trait with significant ecological and physiological implications. As a group, marine mammals are the largest mammals on earth. The smallest marine mammal (by mass) is the marine otter (<i>Lontra felina</i>), weighing 3–5 kg (Jefferson et al., <span>2015</span>), which is over 10 times as much as the smallest terrestrial mammal, the Etruscan shrew (<i>Suncus etruscus</i>), weighing 1.8 g (Jürgens, <span>2002</span>). Similarly, for the opposite end of the size spectrum, the blue whale (<i>Balaenoptera musculus</i>)—the largest animal to have ever lived—is approximately 150,000 kg (Sears & Calambokidis, <span>2002</span>) compared to the 5,000 kg African elephant (<i>Loxodonta africana</i>; Laurson & Bekoff, <span>1978</span>). The large body size attained by marine mammals represents an evolutionary trend to balance energy costs associated with thermoregulation and foraging (Gearty et al., <span>2018</span>; Goldbogen, <span>2018</span>; Williams, <span>1999</span>) and selects for larger neonates (Christiansen et al., <span>2014</span>, <span>2018</span>). The lower limit of body size in marine mammals is thought to be constrained by the thermal demand of seawater, which conducts heat 25 times faster than air at the same temperature.</p><p>Body size largely determines surface area to volume (SA:V) ratios. Smaller animals have a larger surface area for a given volume, resulting in thermoregulatory consequences. Surface area (SA) represents the area over which heat can be lost to the environment. Volume (V) represents internal heat generation as metabolism scales with mass, which scales isometrically with volume. Large body size is advantageous for conserving heat since larger animals have lower SA:V ratios due to the scaling relationships between length, SA (length<sup>2</sup>), and V (length<sup>3</sup>) (reviewed by Ashton et al., <span>2000</span>). This scaling relationship yields a more rapid increase in V than in SA with body length (cubed vs. squared), resulting in greater heat generation and retention relative to heat dissipation. In marine mammals, species inhabiting colder climates minimize their SA:V ratio by changing body shape and/or increasing body size, which reduces heat loss compared to those in warmer climates (Adamczak et al., <span>2020</span>; Worthy & Edwards, <span>1990</span>).</p><p>This trend has been described for both terrestrial (James, <span>1970</span>) and marine mammals (Ashton et al., <span>2000</span>; Torres-Romero et al., <span>2016</span>) under Bergmann's rule. Bergmann's rule was first proposed in 1847 (Bergmann, <span>1847</span>) to explain the congeneric pattern of larger animals (specifically endotherms) in higher latitudes with colder climates. Since its conception, Bergmann's rule has also been investigated within species and across species as well as in endotherms and ectotherms, demonstrating its open criteria (Meiri, <span>2011</span>). In marine species, B","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"40 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mms.13130","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140835758","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}
Understanding reproductive output and success is integral to the conservation and management of threatened species and populations. Little is known about the reproductive parameters of Australian humpback dolphins (Sousa sahulensis), a species subject to cumulative pressures from anthropogenic threats due to their coastal distribution and strong site fidelity. This study assesses several reproductive parameters, including crude birth, recruitment, fecundity, and calf survival rates, in addition to interbirth intervals of Australian humpback dolphins inhabiting the near-urban embayment of Moreton Bay, Queensland. Between 2014 and 2020, 106 adult females were photographically identified during 222 boat surveys. Of these, 75.5% (n = 80) were observed with calves. Birth seasonality was apparent and coincided with austral autumn and winter months. Interbirth intervals ranged between 1 and >6 years, with an average of 3.1 (SD = 1.1) years if offspring survived. Findings indicate declining fecundity rates (p < .05, M = 0.12, SD = 0.02), relatively low recruitment rates (M = 0.04, SD = 0.01) and calf survival rates to 1 year of age (M = 0.63, SD = 0.15). This study provides a useful baseline that can inform viability assessments and conservation measures, for both this population and others throughout the species range.
{"title":"Estimated reproductive parameters for a vulnerable Australian humpback dolphin population","authors":"Elizabeth R. Hawkins, Merryn Dunleavy","doi":"10.1111/mms.13131","DOIUrl":"10.1111/mms.13131","url":null,"abstract":"<p>Understanding reproductive output and success is integral to the conservation and management of threatened species and populations. Little is known about the reproductive parameters of Australian humpback dolphins (<i>Sousa sahulensis</i>), a species subject to cumulative pressures from anthropogenic threats due to their coastal distribution and strong site fidelity. This study assesses several reproductive parameters, including crude birth, recruitment, fecundity, and calf survival rates, in addition to interbirth intervals of Australian humpback dolphins inhabiting the near-urban embayment of Moreton Bay, Queensland. Between 2014 and 2020, 106 adult females were photographically identified during 222 boat surveys. Of these, 75.5% (<i>n</i> = 80) were observed with calves. Birth seasonality was apparent and coincided with austral autumn and winter months. Interbirth intervals ranged between 1 and >6 years, with an average of 3.1 (<i>SD</i> = 1.1) years if offspring survived. Findings indicate declining fecundity rates (<i>p</i> < .05, <i>M</i> = 0.12, <i>SD =</i> 0.02), relatively low recruitment rates (<i>M</i> = 0.04, <i>SD</i> = 0.01) and calf survival rates to 1 year of age (<i>M</i> = 0.63, <i>SD =</i> 0.15). This study provides a useful baseline that can inform viability assessments and conservation measures, for both this population and others throughout the species range.</p>","PeriodicalId":18725,"journal":{"name":"Marine Mammal Science","volume":"40 4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140670299","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}