Abstract
Killer whales (Orcinus orca) are currently recognized as a single ecologically and morphologically diverse, globally distributed species. Multiple morphotypes or ecotypes have been described, often associated with feeding specialization, and several studies have suggested taxonomic revision to include multiple subspecies or species in the genus. We review the ecological, morphological and genetic data for the well-studied ‘resident’ and Bigg’s (aka ‘transient’) ecotypes in the eastern North Pacific and use quantitative taxonomic guidelines and standards to determine whether the taxonomic status of these killer whale ecotypes should be revised. Our review and new analyses indicate that species-level status is justified in both cases, and we conclude that eastern North Pacific Bigg’s killer whales should be recognized as Orcinus rectipinnus (Cope in Scammon, 1869) and resident killer whales should be recognized as Orcinus ater (Cope in Scammon, 1869).
Keywords: Cetacea, odontocete, speciation
1. Introduction
Killer whales (Orcinus orca, also called orcas) are apex predators found in all the world’s oceans [1]. Up to 23 species and four subspecies of killer whales have been named in the literature [2], many based on the skull morphology of single specimens. These taxa have been synonymized into the monospecific genus Orcinus [3,4], and currently, a single species, O. orca, is recognized globally [5].
A suite of studies on morphological, behavioural, acoustic, genetic and other data have indicated that the currently recognized species may comprise multiple unrecognized taxa (e.g. [6–9]). This was highlighted by a review of killer whale differentiation as a case study at a workshop on the shortcomings of cetacean taxonomy in relation to the needs of conservation and management [10]. The participants of the workshop determined that while it was likely there were multiple subspecies or species of killer whales globally, the data available at the time of the review (30 April to 2 May 2004) were insufficient to allow conclusions for taxonomic revision.
Regional variation in a number of characteristics has led to the recognition of several forms of killer whales, which are often referred to as ‘ecotypes’ [6,7,11–17]. These ecotypes are known to vary in body size [16,18–20], colour patterning [6,16,21–23], social structure [24–28], vocalization pattern [28–31] and foraging strategies [6,11,32–39].
In the North Pacific, three killer whale ecotypes have been described. Bigg’s killer whales (aka ‘transients’) are mostly observed on the continental shelf in temperate to Arctic waters, though their distribution beyond the shelf is not well documented, and they specialize in eating marine mammals [25,40–42]. So-called resident killer whales (hereafter referred to as residents) are primarily coastal and are found mostly in waters north of central California in the eastern Pacific (with seasonal visits to northern or central California; e.g. [43]) and as far west as Russian coastal waters in the western Pacific (figure 1). Residents are known to specialize in eating fish, especially salmon [39,41,42,44,45]. Offshore killer whales are found primarily in waters off the continental shelf and therefore are less known, but they appear to prey on a variety of fish, especially elasmobranchs [33,41,46,47]. For all three ecotypes, the extent of their range in the western Pacific is unknown. At latitudes below ~34° N off the coasts of California and Mexico, and in the eastern tropical Pacific (ETP), ecotypes are not well defined. It is unclear whether there are ecological or reproductive barriers between killer whales in these lower latitudes and the more northerly Bigg’s or offshore ecotypes. Residents appear to be geographically limited to higher latitudes, where they are unlikely to contact the lower-latitude populations given current known ranges.
Figure 1.

Expected range maps for (a) resident and (b) Bigg’s killer whales, including locations of samples used for mitogenome analysis (figure 5a, resident n = 106, Bigg’s n = 93) [15]. Distribution ranges have been inferred based on published identifications of individuals that are identified by ecotype [48–53]. Sample distributions cover the known ranges of both ecotypes, with the exception of residents of Oregon and northern California, and both ecotypes off northern Japan (Hokkaido) in the western Pacific [48,54]. Sample maps for microsatellite data are in electronic supplementary material, figure S2.
Previous analyses of mitochondrial genomes [7,15,55], microsatellites [56], single-nucleotide polymorphisms (SNPs) [15,57,58] and nuclear sequences [13,59,60] from killer whales indicated that several killer whale ecotypes represent genetically distinct groups with no evidence of contemporary gene flow, suggesting the need for taxonomic re-evaluation. Here, we focus on the taxonomy of the Bigg’s and resident ecotypes in the North Pacific, for which extensive data on different characteristics have been published, allowing taxonomic inference. These two ecotypes have previously been proposed to represent separate unnamed subspecies [5], following a status review in 2004 [61]. Although there is also evidence that residents and Bigg’s are distinct from other types of killer whales [15,57,59,62], comparable data from most other ecotypes and regions are limited, precluding comprehensive comparisons. It is important to recognize that a lack of complete information for a global taxonomy for the genus is not a sufficient reason to resist taxonomic classification where sufficient data permit the testing of taxonomic hypotheses [63]. Indeed, taxonomy is the science of delimiting species (and other taxonomic groups) and should continue to progress through research and understanding of biodiversity and classification as with any other hypothesis-driven scientific endeavour [64].
We summarize and evaluate available data relevant for the evaluation of the taxonomic status of the resident and Bigg’s ecotypes in the context of explicit subspecies and species concepts. Historically, subspecies have been described as geographically separate and diagnosably distinct breeding populations [65,66], while the literature on species concepts is extensive (e.g. [67–70]). Here, we follow the definitions from Taylor et al. [63] for species defined as ‘a separately evolving lineage composed of a population or collection of populations’ and for subspecies as ‘a population, or collection of populations that appears to be a separately evolving lineage with discontinuities resulting from geography, ecological specialization or other forces that restrict gene flow to the point that the population or collection of populations is diagnosably distinct’.
Following guidelines for subspecies and species delimitation provided by Taylor et al. [71], we evaluate multiple lines of evidence to determine whether resident and Bigg’s ecotypes meet the suggested criteria for subspecies or species, relative to each other and to the remaining nominate species where data are available. We consider quantitative morphological and genetic evidence (diagnosability, reciprocal monophyly, fixed differences in mitochondrial and nuclear loci) as strong evidence for species, while qualitative (statistical) and quantitative data types (mitochondrial DNA (mtDNA) net divergence) are considered strong evidence for subspecies [71,72]. To determine whether the two ecotypes satisfy the criteria for taxonomic reclassification as subspecies or species, we specifically address five questions, the first four of which inform evaluations of taxonomic level:
Distinctness: Are the ecotypes genetically distinct?
Differentiation: Is there evidence of ongoing male-mediated gene flow?
Diagnosability: Are individuals diagnosable based on genetic and/or morphological characteristics?
Divergence: Is the divergence between the ecotypes sufficiently large 1 to indicate separately evolving lineages?
Taxonomic level: If the ecotypes should be considered different taxa, are they subspecies or species? Specifically, do they meet the specified criteria for diagnosability, and is there sufficient evidence to distinguish between the taxa ‘appearing’ to be separately evolving lineages and conclude that they are separately evolving lineages? Threshold values of net nucleotide divergence (d A) have been proposed as a genetic proxy for the latter, though multiple independent lines of evidence, such as morphological data or evidence for adaptive genetic divergence, are considered to be important for determining species status, when available [71,73,74].
2. Review of lines of evidence
2.1. Ecology and behaviour
2.1.1. Distribution and social structure
Both Bigg’s and resident killer whales are found across the North Pacific Ocean basin and overlap greatly in coastal regions where most research has taken place (figure 1). As such, they have the potential to interbreed. However, in over 50 years of field study, the ecotypes have never been seen to associate, and there is observational evidence that the two ecotypes exhibit active avoidance of each other, and sometimes act aggressively [11,75,76], leading to the suggestion that they are reproductively isolated, possibly owing to cultural divergence [27,75].
Killer whales are highly social, but these ecotypes differ in average group size, dispersal, acoustic communication and social organization. Residents are unique in having large, stable groups with negligible permanent dispersal from their natal group [25,77–80], though groups have been observed to permanently split along matrilines [81]. Bigg’s are typically found in smaller groups of maternally related individuals, with permanent dispersal of females following the birth of their first calf, while there is evidence of a high degree of male philopatry [24,76,79,82].
Behavioural avoidance and a lack of interbreeding between ecotypes in sympatry address the question of distinctness and support species status under the biological species concept.
2.1.2. Ecology and feeding
Dietary specialization is a common distinguishing characteristic of killer whale ecotypes [6,11,12,18,33,36,37,40–42,44,76,83]. Prey specialization was the primary evidence initially used to identify the fish-eating resident and mammal-eating Bigg’s ecotypes in the eastern North Pacific [11,34,42]. Multiple methods have been used to determine dietary specialization and seasonal diet changes for residents and Bigg’s, including behavioural observations and examination of prey remains [11,42], molecular prey species identification from faeces [45,84], stable isotopes [41,47,85,86], pollutants [41,47,87,88] and fatty acids from skin and blubber biopsies [41,47]. Because of their higher trophic level, the marine mammal-eating Bigg’s exhibit higher δ15 N and δ13 C isotope levels, lower proportions of omega-3 long-chain mono-unsaturated and poly-unsaturated fatty acids (evidence of fish consumption) and higher levels of persistent organic pollutants than fish-eating residents [89].
Diversifying selection associated with foraging strategies can drive divergent evolution in behavioural traits such as habitat use, seasonal movements and foraging behaviours and has been proposed to have played a major role in the social isolation and genetic divergence of killer whale ecotypes (reviewed in [83]). Behaviours associated with feeding specialization include large differences in foraging group size, with residents’ average group size of 18, often increasing temporarily with high prey density [79]. Foraging for marine mammals by Bigg’s killer whales is associated with small groups (range 2–6) hunting by stealth (see §2.1.3). Residents’ seasonal movements have been linked to salmon species aggregations ([42, 44], reviewed in [83,90,91]), while Bigg’s occurrence is relatively uniform, with frequent travel and seasonal peaks associated with the pupping season of harbour seals and the migration of grey whales [40,75,76,92].
The multiple methods of studying feeding specialization all strongly indicate that there is no overlap in primary diet between residents and Bigg’s, and many behavioural, acoustic and morphological characteristics (see below) have developed in the ecotypes, showing distinctness, differentiation and diagnosability.
2.1.3. Acoustics
Killer whales use a variety of acoustic call types to communicate and forage for food, and ecotypes can be identified acoustically by their group-specific pulsed calls [30,35,93]. While not diagnostic, several acoustic characteristics differ significantly between ecotypes. Bigg’s whistles differ from resident whistles in duration, end frequency and maximum frequency [29,94–96]. Resident sonar click trains are produced on average 6–27 times more often and are twice as long as in Bigg’s whales, though the frequency of vocalization is context dependent [29,76,97]. Bigg’s are typically silent while foraging, while residents are highly vocal, communicating with each other and using echolocation to detect prey [29,76,98–100].
Acoustic differences show divergence between the ecotypes, relevant to differentiation associated with culture and feeding ecology.
2.2. Morphology
Resident and Bigg’s ecotypes can be reliably distinguished by experienced observers at sea and from field observations, photographs and video, based on external characteristics such as eye patch and saddle patch pigmentation, the size and shape of the dorsal fin and differences in body size [22,23,27,34,85,101,102]. The Fourier analysis allowed quantitative discrimination among ecotypes based on the dorsal fin and eye patch [23], but these characteristics vary substantially among individuals and by sex. Morphometric data have been difficult to obtain, but skull morphology based on several characters reveals diagnostic shape differences between the North Pacific ecotypes (figure 2) [103]. Recent photogrammetry data from free-swimming sympatric resident and Bigg’s killer whales in the eastern North Pacific have also shown significant differences in body length and condition, with Bigg’s of both sexes longer and more robust than residents [20].
Figure 2.
Canonical variate 1 and 2 plots for cranial shape features that distinguish among ecotypes for (a) skull morphology (resident (n = 17), Bigg’s (n = 13) and offshore (n = 6)) and (b) dentary bone morphology (resident (n = 21), Bigg’s (n = 12) and offshore (n = 8) specimens) (reprinted from [103]).
In cetaceans, diagnosable morphological differences arise from substantial reproductive isolation [104–106]. Multivariate analysis of the skull and jaw structures of resident and Bigg’s ecotypes in particular results in diagnostic differences (figure 2) that correspond with dietary specializations, e.g. deeper curvature of the jaw, pronounced convex ventral edge in Bigg’s, potentially correlated with the demands of biting and gripping large prey [103]. These morphological differences suggest distinctness, differentiation and diagnosability. More morphological and behavioural data are still needed from the offshore ecotype, but preliminary data indicated diagnostic differences among all three ecotypes (figure 2).
2.3. Molecular genetics
Early genetic analyses of killer whales were based on the standard markers of the time: mitochondrial control region sequences and nuclear microsatellite genotypes. With their extremely low genetic diversity and recent divergence, taxonomic interpretations of the results of these analyses were inconclusive [8,107–112]. Larger numbers of variable markers helped to clarify relatedness, population structure and ecotype differences [56,78], but it was not until advancements in high-throughput genome sequencing methods, which allowed for population-level sequencing of complete mitochondrial genomes (mitogenomes) and genome-wide nuclear variants, that patterns of divergence on an evolutionary scale among ecotypes and global populations began to resolve [7,9,13–15,55,58,113].
2.3.1. Differentiation and divergence metrics
Based on analysis of patterns of divergence and diagnosability for a variety of recognized cetacean populations, subspecies and species, Taylor et al. [71] published a set of guidelines for subspecies and species designation when only mtDNA control region sequence data were available. Resident and Bigg’s killer whale ecotypes meet the criteria for subspecies based on these guidelines for mtDNA control region sequences alone (500 bp, d A > 0.004). They also meet subspecies thresholds based on complete mitochondrial genomes (d A > 0.0006) [114], with 100% diagnosability (table 1). In neither dataset do they meet the higher d A threshold for species (d A > 0.02 for the control region and >0.008 for the mitogenome). In the Taylor et al. [71] study, the authors note that guidelines should not be applied rigidly and that exceptions are expected, especially under divergent selection and/or when population sizes are very small and/or culturally driven niche partitioning may lead to more rapid evolution and high diagnosability despite low mitochondrial divergence [114]. All of these conditions are likely to apply to North Pacific resident and Bigg’s killer whale ecotypes.
Table 1.
Measures of differentiation, divergence and diagnosability based on nuclear microsatellite and SNP data. All frequency-based metrics (F ST, F’ ST, G’ ST) were significantly different from zero at p < 0.05.
| divergence metric | reference | |
|---|---|---|
| d A (CR) | 0.00746 a | [114] |
| d A (mitogenome) | 0.00391 b | [114] |
| F ST (microsatellite) | 0.21–0.23 | [56,85] |
| F’ ST (microsatellite) | 0.47 | [56] |
| G’ ST (microsatellite) | 0.28 | [56] |
| F ST (SNP) | 0.28 | [15] |
| F ST (RADseq, neutral) c | 0.27 | [58] |
| F ST (RADseq, selected) c | 0.67 | [58] |
| F ST (genomes) | 0.32 | [9] (electronic supplementary material, table S2) |
| diagnosability (CR) | 100% | [114] |
| diagnosability (mitogenome) | 100% | [114] |
| fixed differences (mitogenome) | 57 | [7] |
| fixed differences (3281 nuclear SNPs) | 2–7 | [58] |
| fixed differences (6 435 100 nuclear SNPs) | 6361 d | [113] |
95% confidence interval: 0.00727–0.00772.
95% confidence interval: 0.00388–0.00393.
Alaska transients (Bigg’s) versus Alaska residents.
Based on analysis of raw SNP data from Kardos et al. [113].
Other standard measures of genetic differentiation are less indicative of taxonomic status, especially at the population and subspecies levels [115], although they are correlated and can provide evidence of a lack of current significant levels of gene flow. For residents and Bigg’s, frequency-based measures of divergence (F ST, F′ST, G′ST) based on nuclear microsatellites and SNPs from several studies all showed relatively large and significant differentiation (table 1). Other methods (e.g. principal components analysis (PCA), structure program analysis) based on range-wide sample sets (figure 1) indicated near-perfect assignment of individuals to ecotypes based on genetic data alone (figure 3; see electronic supplementary material for methods). The program structure [116] uses a Bayesian clustering approach to assign samples to groups based on estimated allele frequencies for populations in Hardy–Weinberg equilibrium. As such, the high probability of assignment of all individuals to populations correlated with ecotype assignment (based on independent data) provides strong evidence of genetically differentiated populations (figure 4; see electronic supplementary material for methods), though the sample size for the offshore ecotype remains low, limiting confidence in assignments based on these methods.
Figure 3.
PCA plot of first two principal components based on (a) 88 SNPs: offshore (n = 3), resident (n = 11), Bigg’s (n = 30) from data in Morin et al. [15]; (b) 26 microsatellites: offshore (n = 5), resident (n = 250), Bigg’s (n = 116) (samples genotyped at ≥20 loci) [56]; unpublished); (c) 3678 RADseq SNPs: offshore (n = 7), resident (n = 52) and Bigg’s (n = 37) populations [57,62]; (d) 1 00 000 (subset from 6 371 282) SNPs from 147 high-coverage genomes of offshore (n = 7), Bigg’s (n = 14) and resident (n = 126) samples from multiple geographically and behaviourally defined subpopulations (Alaska, northern and southern resident populations) (based on subset of SNP genotype data from [113]. See Supplementary Materials for methods and data set information.
Figure 4.
Structure assignment probability plots for K = 3 groups from (a) 26 microsatellites: offshore (n = 5), resident (n = 250), Bigg’s (n = 116) samples genotyped at ≥ 20 loci) (56; unpublished); (b) 3340 RADseq SNPs (polymorphic in sample set): offshore (n = 7), resident (n = 52) and Bigg’s (n = 37) populations [57,62]. Vertical bars represent the individual assignment probability for each group inferred by Structure (groups identified by shading), with samples sorted by a priori ecotype assignment. See electronic supplementary material for methods and data set information.
Initial estimates of gene flow suggested limited interbreeding between ecotypes based on a small number of microsatellite loci [111]. Subsequent studies using larger numbers of microsatellites, SNPs and genome-wide markers for paternity, relatedness and population studies have found no evidence of ongoing gene flow between ecotypes [56,58–60,78,117], though genomic analyses indicate historical or episodic gene flow between residents and Bigg’s, possibly through intermediary populations such as the offshore ecotype or ETP populations [58,59].
The combined results from analyses of both mtDNA and nuclear DNA (nuDNA) provide evidence of distinctness, differentiation, diagnosability and divergence.
2.3.2. Phylogenetics
For the resident and Bigg’s ecotypes, mitogenome phylogenetics showed a surprisingly deep divergence, with complete reciprocal monophyly between haplotypes of the two ecotypes, in different major branches of the global phylogeny (figure 5a ) [7,15]. Estimates of divergence time between resident and Bigg’s ecotypes ranged from approximately 700 000–350 000 years [7,15], though gene flow among ecotypes likely occurred episodically or via other ecotypes or populations [13,59,62,118], leading to non-conforming phylogenetic trees from different datasets (figure 5; see also Kardos et al. [113] and Moura et al. [57]), and different interpretations for timing of divergence and gene flow [57,58,62,119].
Figure 5.
Global phylogenetic trees of killer whales based on (a) haplotypes from 452 mitogenomes and (b) 49 nuclear genome sequences. Reprinted with permission from Morin et al. [15] (figure 2; by permission from John Wiley & Sons, licence 5458310335802) and [9] (electronic supplementary material, figure S3b, by permission from Andrew D. Foote). Black branches in (a) lead to haplotypes that are from animals that have not been identified to ecotype (see electronic supplementary material, table S1 from [15]).
The mitochondrial and nuclear phylogeographic results provide evidence for distinctness (no overlapping haplotypes), differentiation (clade support and concordance with ecotypes), diagnosability (fixed differences, reciprocal monophyly) and divergence (divergence time).
2.3.3. Demographic histories
The long-term historical demography of killer whales has been estimated from whole-genome sequences using pairwise sequentially Markovian coalescent (PSMC), which infers changes in effective population size (N e) over evolutionary time (~10 000–1 Myr ago; e.g. [120]). Plots of population sizes for killer whales fall into several patterns over the past ~10–30 kyr, before and during the Last Glacial Maximum, with resident and offshore ecotype populations declining, while Bigg’s population size remained relatively stable [60]. Additionally, PSMC analysis of pseudo-diploids (in silico constructs comprised of haploid sequences from two individuals) can be used to determine the approximate time that populations became demographically independent, signalling the end of gene flow. Pseudo-diploid analysis of the X-chromosomes indicates that residents and Bigg’s began to diverge from the ancestral population at different times, with Bigg’s diverging between 200 000 and 300 000 years ago, while residents began to diverge approximately 100 000 years ago [59]. Changes in effective population size have been inferred based on SNPs across the genomes of resident and Bigg’s ecotypes, suggesting that the Bigg’s population remained relatively large (N e = 5.5k–6k) and stable until approximately 10 kyr ago, while residents N e declined from about 6k to 600 between 40 and 10 kyr ago [60]. More recent demographic change inferred from SNP linkage disequilibrium (LD) indicates that the N e’s for both ecotypes have declined to <100 within the last ~750 years [113].
Together, the PSMC and LD analyses support divergence and nuclear genome differentiation over several hundred thousand years and continued demographic independence of residents and Bigg’s killer whales in deep (>10 kyr) and recent (10 kyr to present) time periods. Analyses of nuclear and mitochondrial genome samples from residents and Bigg’s (above) indicate that the demographic independence continues to the present day, with no inference of recent or ongoing gene flow.
2.3.4. Functional genomics
Reproductive proteins such as PKDREJ, in which there were two fixed non-synonymous substitutions derived from the resident ecotype, are known to diverge rapidly across taxa and are potential candidates for post-zygotic isolation [13]. Genes encoding proteins associated with dietary variation were also shown to be under divergent selection, including genes associated with the regulation of methionine metabolism in mammal-eating ecotypes and associated with carboxylic ester hydrolase activity in residents [13]. Despite low-coverage genome sequencing, Foote et al. [13] detected dozens of significant non-synonymous allele changes in genes, indicating evidence of recent selection in each ecotype (electronic supplementary material, table S10 from [13]).
Genes under strong divergent selection in ecotypes require substantial reproductive isolation, and certain fast-evolving genes involved in reproductive isolation can effectively reduce hybrid reproduction. The evidence of fixed differences in genes involved in reproduction and dietary differences supports distinctness, differentiation, diagnosability and divergence expected at the species level of evolutionary trajectory.
3. Discussion
Multiple lines of evidence indicate that the resident and Bigg’s ecotypes are genetically distinct, including divergent mitochondrial haplotype lineages with fixed differences, evidence against male-mediated gene flow and diagnosable morphological, as well as mtDNA and nuDNA, differences. Other, less diagnostic types of evidence are also indicative of distinctness and divergence. These include ecological and behavioural (social organization and dispersal, diet, acoustics), morphological and genetic differences (summarized in electronic supplementary material, table S1). These combined lines of evidence, taken together, support divergent evolutionary trajectories consistent with species.
Morphological diagnosability is considered strong evidence of both genetic isolation and ecological specialization consistent with divergence along different evolutionary trajectories [10,71]. While observable differences in colouration patterns, dorsal fin shape and size, and some acoustic characteristics are sufficient for experts to distinguish between resident and Bigg’s individuals or groups in the field and would support subspecies-level divergence, these measures are not diagnostic. However, multivariate analysis results of skull and jaw characteristics, thought to be under selection owing to different dietary specializations (mammals versus fish), are diagnostic (figure 2; e.g. [103]) and strongly support independent evolutionary trajectories or species-level divergence. These morphological differences are further supported by recent data quantifying significant differences in photogrammetrically measured body lengths between sympatric residents and Bigg’s in the eastern North Pacific [20].
Both paternity analyses of contemporary groups [78] and population genetic analyses indicate the absence of male-mediated gene flow in sympatry and the divergence of ecotypes to the point of complete diagnosability (table 1, figures 3 and 4) [13,56,58,59,80,119]. Although the range of both ecotypes in the western Pacific remains uncertain, genetic data from the southeastern extent of their ranges to as far west as the Sea of Okhotsk and south into the Kuril Islands in the western regions indicate genetic cohesiveness of the ecotypes across the range (figures 1 and 3), with mitochondrial haplotypes associated with Bigg’s and resident ecotypes found as far south as Japan [48,54]. The estimates of the timing of the divergence differ for mitochondrial and nuclear genomic data. Time-calibrated mitogenome phylogenies and pseudo-diploid coalescent analysis of nuclear genomes indicate a most recent common ancestor of the lineages approximately 350 000 and 300 000 years ago, respectively [15,59]. The more recent estimate of divergence (~200 000–300 000 years ago) from nuclear genome data has been interpreted to reflect small amounts of post-divergence gene flow, potentially through intermediate populations (e.g. the offshore ecotype; [59]). The period of greatest radiation in the Delphinidae occurred about 2–6 Myr ago [121]. However, there are examples of shorter divergence times among mammalian species (e.g. 43 species pairs with divergence times estimated under 500 000 years; electronic supplementary material, figure S1). The radiation of killer whales globally has occurred within the past ~350 000 years (~14 000 generations) [15,59]. The divergence of ecotypes is common in killer whales and is likely accelerated by the interaction of matrilineal founder events, social organization and dietary specialization. The split between the North Pacific resident and Bigg’s ecotypes suggests an early divergence within the species [7,9,13,15,59].
The guidelines for delineating cetacean subspecies and species with mtDNA (in the absence of other evidence) in Taylor et al. [71] suggest a first threshold that subspecies should exhibit at least 95% diagnosability and net nucleotide divergence (d A) of at least 0.004, and Morin et al. [114] suggested the d A threshold of 0.0006 for complete mitogenomes. The thresholds for subspecies are met for both control region and mitogenome datasets (table 1), including highly divergent and unshared mitogenome haplotypes with fixed differences (figure 5) [7,15], while the corresponding divergence thresholds for species are not met. Based on simulated data [114,122], the relatively small effective population size for killer whales [13,60,118] is likely to increase both d A and diagnosability owing to genetic drift, which could lead to over-classification based on mtDNA alone, but Foote et al. [9] argue that these features of killer whale ecotypes may accelerate the speciation process by reducing genomic diversity within ecotypes, and increasing LD and selection, combined with assortative mating to promote reproductive isolation and speciation.
Three recent studies of other cetaceans have proposed taxonomy revisions based on genetic data and other lines of evidence comparable to the data summarized here for resident and Bigg’s ecotypes and also represent relatively recent divergence. For North Atlantic coastal and offshore bottlenose dolphin ecotypes (Tursiops truncatus, T. erebennus) [123], Indus and Ganges River dolphins (Platanista minor, P. gangetica) [104] and two species of finless porpoise (Neophocaena phocaenoides, N. asiaeorientalis) [72,105], mtDNA control region d A was 0.027, 0.0045 and 0.0033, respectively, spanning the guideline thresholds (0.004 for subspecies; 0.02 for species) and divergence times from approximately 500 000 years (Plantanista) to ~18 000 years (Neophocaena). However, like Bigg’s and resident killer whales, all of these cases also evidenced high diagnosability in mtDNA and morphology, and other supporting lines of evidence that serve as proxies for reproductive isolation and evolutionary divergence are regarded as strong support for species designations [10,71].
3.1. Conclusion
Based on the combined lines of evidence presented above, we recommend that resident and Bigg’s killer whales be recognized as species distinct from the globally distributed O. orca and from each other. Prior species designations, typically based on a single skull, have all been synonymized under O. orca, and there are no prior subspecies designations or holotypes within killer whales of the North Pacific [2]. Three types have been attributed to the ‘North Pacific’, though Gray [124] indicated that he doubted the origin of the specimen for O. pacifica [124], and the mitogenome haplotype of this specimen is most similar to Antarctic type B haplotypes [15]. The other two binomials from the Pacific (Orca ater, Orca rectipinna [125]) are essentially based on visual observation and are not associated with available type specimens. As these two binomials are described in the same publication with no prior names from the North Pacific, we propose Orcinus ater and Orcinus rectipinnus, for the resident and Bigg’s species, respectively. We discuss the history and use of these binomials in more detail below.
3.2. Conservation implications
Many killer whale populations are being negatively impacted by human activities such as overfishing and pollution, and such threats are likely to vary substantially among ecotypes and populations (e.g. [39,88,89,126–133]). Effective management requires the delineation of conservation units within the genus Orcinus at appropriate taxonomic levels to facilitate different management strategies for stocks that, in most cases, range across the boundaries between the USA, Canada, Mexico and other nations. In the North Pacific, the resident and Bigg’s ecotypes are considered separate stocks according to the NOAA Marine Mammal Stock Assessment reports [134] and are recognized as separate designatable units by the Committee on the Status of Endangered Wildlife in Canada. Within the resident form, the northern resident and southern resident killer whale (NRKW and SRKW) populations in USA and Canadian Pacific waters are listed as Threatened (NRKW) under the Canadian Species at Risk Act (SARA) and Endangered (SRKW) under SARA and the US Endangered Species Act (ESA), requiring appropriate assessment and management. The Cetacean Specialist Group of the International Union for the Conservation of Nature (IUCN) considers the Society for Marine Mammalogy’s accepted list of taxonomy to assess cetaceans. Currently, the assessment is for O. orca globally, and the species is listed as Data Deficient due to taxonomic uncertainty (IUCN Red List, consulted on 3 January 2023). Should the taxonomic change proposed here be accepted by the Society for Marine Mammalogy’s taxonomy committee, two new assessments will result. Such taxonomic refinement, always towards a smaller distribution, has resulted in listing several new taxa in categories of threat (as happened, for example, when the humpback dolphins, Sousa spp., were split from two species into four, most with more restricted ranges [135]). The remainder of killer whales globally, including the North Pacific offshore ecotype, will continue (for now) to be classified as O. orca, with substantial taxonomic uncertainty remaining.
4. Taxonomic treatment and nomenclature
There are three potentially available species names for North Pacific killer whales: O. ater [125], O. rectipinna (=rectipinnus) 2 [125] and O. pacifica (=pacificus)2 [124]. There appear to be no type specimens available for the first two, though there is a holotype for pacificus at the Natural History Museum, London (NHMUK; No. 1165 a). If rectipinnus and/or ater can be matched with resident or Bigg’s killer whales, then those names dating from 1869 could be used; pacificus was not published until a year later (1870) and would only be used if the earlier names are not appropriate and it can be associated with one of the two ecotypes.
The holotype of O. pacificus was also originally one of two syntypes used to describe O. capensis [136], a species thought to be mainly from the Southern Ocean (the other syntype was from South Africa). Later, Gray [124] considered this skull to be a distinct species and gave it the name O. pacificus. Although the collector, Capt. Delville, apparently told Gray that the O. pacificus specimen was collected from the North Pacific, later Gray cast doubt on this collection locality [137]. It now seems likely that the skull was actually collected from the coast of Chile, outside the North Pacific, and this appears to be supported by molecular analyses that associate it with Antarctic specimens [15]. The holotype of O. pacificus is still present at the NMHUK (No. 1165 a; Jefferson, unpublished data). However, as there is convincing evidence that the specimen came from outside the North Pacific, O. pacificus should not be under further consideration as a name for any North Pacific endemic species being described.
Unfortunately, without type specimens to examine for rectipinnus and ater, we are left to deal with the descriptions and illustrations (figure 6) provided by Cope (in Scammon [125]) and Scammon [138–140]. These have some relevant details but do not provide clear evidence to associate either ecotype with rectipinna or ater. The descriptions and illustrations make it clear that Scammon and Cope were not paying attention to the fine details that allow present-day biologists to distinguish the two ecotypes, and they provided no indication that they noticed different prey preferences between them either. So, their split into two species (rectipinna and ater) was based mostly on features that are not taxonomically informative (e.g. sexually dimorphic dorsal fin sizes/shapes, perceived size differences from sightings at sea, minor colouration differences that are subject to individual variation). It is evident that Scammon, at times, thought that the distinction between the large dorsal fins of male killer whales and the smaller, more falcate fins of females were taxonomically informative. His descriptions and illustrations are mostly the result of observations at sea (figure 6) and show that when the descriptions were written, he only had the opportunity to examine a single specimen in detail and up close (figure 6). This specimen (a 15′ female, designated as O. rectipinna) was taken along the California coast, and it contained seals in its stomach ([138], pp. 56–57) 3 .
Figure 6.

Illustrations of (a) O. ater and (b) O. rectipinnus from Scammon [138,140]. These illustrations were likely made by Scammon, or made under his guidance from his field notes and sketches. Whether they represent renderings of specific specimens, or composite sketches, is unknown.
Several illustrations were provided by Scammon and Cope (i.e. [125,138–140]), but these provide little help, as they do not show accurate details of killer whale colour patterns (e.g. rectipinna is shown with a uniform black colour pattern—figure 6) and give no indication of the differences in saddle and dorsal fin shapes that are now known to be reliable indicators of resident versus Bigg’s ecotypes. Scammon considered the largest individuals with the most erect dorsal fins to be of the species rectipinna; we now know these are exclusively physically mature adult males. The species ater was applied to animals with shorter, more falcate fins, which we now know to be females and younger, ‘sprouting’ males. Scammon obviously did not understand this sexual dimorphism and thought that both sexes were present in both of these ‘species’ (Scammon called them ‘high- and low-finned orcas’). Cope’s descriptions are based strictly on the information provided by Scammon; it is doubtful if Cope (who did not conduct field research at sea) ever saw a North Pacific killer whale, alive or dead. The illustrations in Scammon [138] can be considered as showing ‘proleptic type specimens’ for the two species because it did not become common practice to designate official holotype specimens until the end of the nineteenth century, decades later (see [141]). But, as these specimens are apparently no longer extant, no acceptable name-bearing type specimens currently exist.
That said, the descriptions provided by Cope (in Scammon [125]) and Scammon [138] do provide some information that, while not completely unambiguous, does suggest that the two species, rectipinnus and ater, can be tentatively allied with the two ecotypes. Based on this information, ater would be associated with residents (e.g. more northern range from Oregon to the Aleutians; ‘proleptic type specimen’ from the Strait of Juan de Fuca, where residents are common; no specific remarks on observed prey types) and rectipinnus with Bigg’s (e.g. range description from California southwards; ‘type specimen’ from California, where Bigg’s are common and residents are very rare; multiple specific reports of attacks on whales, porpoises and pinnipeds). Again, these are not 100% clear, and there is some conflicting information in the various accounts, but the balance of the evidence suggests that ater would be associated with the resident and rectipinnus with Bigg’s ecotypes. If the CAS skull collected by Scammon was indeed at the time a type specimen for rectipinnus (see fn 3), then the finding of seal remains in its stomach ([138], pp. 56–57) would clearly associate that species with the Bigg’s ecotype.
For the names rectipinnus and/or ater to be used, it becomes necessary to designate a neotype specimen for each of them, chosen from among existing specimens at institutions that could be unambiguously identified with the two ecotypes. The designation of neotype specimens for the two proposed species below removes any uncertainty about the assignment of the names rectipinnus and ater, and forever unambiguously links these two names to the corresponding ecotypes (i.e. Bigg’s and resident killer whales).
Species redescriptions
Order Artiodactyla Montgelard, Catzefils and Douzery, 1997
Cetacea Brisson, 1762
Odontoceti Flower, 1867
Superfamily Delphinoidea Flower, 1865
Family Delphinidae Gray, 1821
Orcinus rectipinnus (Cope in Scammon, 1869)
Etymology
In Latin, recti means right or upright, and pinna means fin, feather or wing, most likely referring to the tall, erect dorsal fin of males.
Synonymy
Orca rectipinna Cope in Scammon, 1869: 22; original designation.
Common name
We propose continued use of the common name, ‘Bigg’s killer whale’, for this species, to honour Dr. Michael A. Bigg (1939–1990), who pioneered the study of North Pacific killer whales in the 1970s. This ecotype was formerly known as the ‘transient killer whale’.
Type specimen
USNM 594671
No type specimen is extant from the original description (Cope in Scammon [125]), so we have designated a neotype. The neotype is the skull of a physically mature male (total length 731 cm, CBL of cranium 1124 mm) in the U.S. National Museum of Natural History Marine Mammal Collection, deposited under museum number USNM 594671. The skull was previously in the NOAA National Marine Mammal Laboratory collection as NMML 0082. It is illustrated in figure 7a . mtDNA control region haplotype (160 bp) ‘T’ (SWFSC ID 39064 in 142]) unambiguously identifies this specimen as a Bigg’s killer whale. Morphological analysis of this specimen was included in Fung [103]. Detailed measurements of the type specimen are in electronic supplementary material, table S2.
Figure 7.
Photographs of neotype skulls for (a) Orcinus rectipinnus (USNM 594671) and (b) Orcinus ater (USNM 594672).
Type locality
The neotype was collected by J.E. Eckberg on 22 September 1966, near San Francisco, CA, USA.
Diagnosis
Bigg’s killer whales differ from residents in growing to somewhat larger sizes, and having a wider-based, more triangular dorsal fin that is more pointed at the tip. The dorsal fin also tends to be less falcate (even in females). The saddle patch behind the dorsal fin extends further forward than it does in residents, usually to well past the mid-point of the dorsal fin base, and may appear larger compared to that of residents [40,79]. Virtually all saddle patches are closed (with no significant invasion of black), and many are rounded, with their forward extensions not ending in a point. These correspond to the ‘smooth’ or ‘bump’ patch types of Baird and Stacey [22].
Bigg’s killer whales have longer and more robust skulls than residents, with the following measurements showing significantly greater average values: condylobasal length, postorbital width, occipital width, width of rostrum at base and length of mandible [103]. While individual measures show modal differences with some overlap, canonical variate analysis of both cranial measures and measures of mandibular morphology yields distinct clusters for the two ecotypes ([103]; figure 2). Genetic analyses of mtDNA are diagnostic, based on fixed sequence differences (table 1), while nuDNA allele frequency differences allow diagnosis based on cumulative assignment probability (e.g. assignment tests or PCA; figures 3 and 4).
Description
This is a species of killer whale, reaching total lengths of at least 830 cm in males and 710 cm in females [20] and weights of 6600 kg in males and 4700 kg in females [143]. It has the basic features of the killer whale body plan: a robust body with a tall dorsal fin near the centre of the back, large paddle-shaped flippers, broad flukes with a slightly convex trailing edge and a blunt head with a short, poorly defined beak (figure 8a ). There is sexual dimorphism, with males growing much larger than females, and near sexual maturity developing a tall (up to at least 1.5 m), erect dorsal fin and much larger flukes and pectoral fins. The mouthline is straight, with a small downturn at the gape. The basic killer whale colour pattern is largely dark grey to black, with a white ventral field that has lobes extending up and back along the tail stock, a white post-ocular patch, and a light grey to white ‘saddle patch’ behind the dorsal fin. The lower jaw and the undersides of the flukes are mostly white, but the entire flippers and dorsal fin are black. The areas of light and dark are generally well defined, with a crisp border. Each tooth row of both upper and lower jaws contains 10–14 large, conical teeth [144].
Figure 8.

Vertical images of (a) an adult male Bigg’s killer whale (BKW) from the West Coast Transient population of Bigg’s killer whales and (b) an adult male resident killer whale (RKW) from the sympatric Southern Resident population of resident killer whales. Images are scaled to the estimated asymptotic lengths of 7.3 m [20] and 6.9 m [145], respectively. Vertical images were collected using an octocopter drone using methods described by Durban et al. [146], provided by John Durban and Holly Fearnbach.
Comparison to other taxa
Bigg’s killer whale is one of three proposed species of killer whales (genus Orcinus) globally. It is endemic to the North Pacific Ocean and adjacent seas, and it preys primarily on marine mammals (as opposed to bony fish and elasmobranchs). It can be distinguished from other killer whale species and ecotypes by its genetic profile, its morphology and colouration (see Diagnosis above), and also acoustically.
Distribution
Bigg’s killer whales occur throughout the waters of the eastern North Pacific Ocean from at least northern Baja California, Mexico, through to eastern Russia and northern Japan in the western Pacific [48,147,148]. Their distribution extends to the Okhotsk Sea and Arctic Ocean (e.g. Chukchi Sea; figure 1). While they are most commonly observed over the continental shelf and in inshore waters, they may also occur in oceanic waters beyond the continental shelf edge [147].
Orcinus ater (Cope in Scammon, 1869)
Etymology
In Latin, ater means black or dark, which probably refers to the largely black colour of this species.
Synonymy
Orca ater Cope in Scammon, 1869: 22; original designation.
Common name
We are planning on engaging with North American Indigenous tribal groups and expect to eventually have a consensus common name, but in the meantime, we suggest continued use of ‘resident killer whale’ so as to maintain consistency.
Type specimen
USNM 594672
No type specimen was preserved from the original description [125], so we have designated a neotype. The neotype is a physically mature male (total length 698 cm) in the U.S. National Museum of Natural History Marine Mammal Collection. The skull (CBL 1019 mm) is deposited under museum number USNM 594672 and was collected by C.H. Fiscus, H. Kajimura and M. Keyes on 28 February 1967. The skull was previously in the NOAA National Marine Mammal Laboratory collection as NMML 0089. It is illustrated in figure 7b . mtDNA control region haplotype (160 bp) ‘SR’ [SWFSC ID 39071 in 142] unambiguously identifies this specimen as a resident killer whale. Skeletal morphological analysis of this specimen was included in Fung [103]. Detailed measurements of the type specimen are in electronic supplementary material, table S2.
Type locality
The neotype specimen was collected in Yukon Harbor, Puget Sound, Washington, USA (lat: 47.53, lon: −122.52).
Diagnosis
Resident killer whales are slightly smaller than Bigg’s, with total lengths not exceeding 725 cm in a moderate sample [103,143,145]. They have a shorter-based, more falcate dorsal fin that tends to be more rounded at the tip. The post-dorsal fin saddle patch generally does not extend forward much past the mid-point of the dorsal fin base. Individuals show a variety of saddle patch types, including closed (with no invasion of black), open (with a large invasion of black extending from above) and cupped (with a small ‘scoop’ or notch of black invading the saddle from above; e.g. [40, 79]). These correspond to all five patch types of Baird and Stacey [22].
Resident killer whales have smaller and more gracile skulls than Bigg’s, with the following measurements showing significantly lower average values: condylobasal length, postorbital width, occipital width, width of rostrum at base and length of mandible [103]. While individual measures show modal differences with some overlap, PCA of both cranial and mandibular morphology resulted in distinct clusters for Bigg’s and resident species ([103]; figure 2). Genetic analyses of mtDNA are diagnostic, based on fixed sequence differences (table 1), while nuDNA allele frequency differences allow diagnosis based on cumulative assignment probability (e.g. assignment tests or PCA; figures 3 and 4).
Description
This is a species of killer whale, reaching total lengths of at least 725 cm in males and 644 cm in females [145]. The basic killer whale body plan includes a robust, spindle-shaped body, with a tall dorsal fin positioned at the centre of the back, large paddle-shaped pectoral fins, wide flukes with a slightly convex trailing edge and a blunt head (figure 8b ). There is a short, poorly defined beak. This species shows extreme sexual dimorphism, with males growing much longer and heavier than females; males also develop a tall (up to 2.25 m [149,150]) erect dorsal fin that may actually cant forward (making it look like it was put on backwards), and much larger flukes and pectoral fins. There is a straight mouthline, ending in a slight downturn at the gape. Resident killer whales show the basic colour pattern found in all members of the genus: most of the body is dark grey to black, with a white ventral field that branches into lobes extending up and back along the caudal peduncle. There are large white post-ocular patches, and a light grey to white ‘saddle patch’ originating behind the dorsal fin. The undersides of the flukes are mostly white, as is the entire lower jaw, but the flippers and dorsal fin are black on both sides. There are 10–14 large, conical teeth in each tooth row [144].
Comparison to other taxa
The resident killer whale is one of three proposed species of killer whales (genus Orcinus) globally. It is endemic to the North Pacific Ocean and adjacent seas, and it preys primarily on bony fish, especially North Pacific salmon Oncorhynchus spp. (as opposed to marine mammals and elasmobranchs). It can be distinguished from other killer whale species and ecotypes by its genetic profile, its morphology and colouration (see Diagnosis above), and also acoustically.
Distribution
Resident killer whales occur in inshore and continental shelf waters, primarily from Oregon in the eastern Pacific to eastern Russia and northern Japan in the western Pacific [48,54,147,148,151]. Pods occasionally move southwards down the U.S. west coast to as far as Monterey Bay, CA [152]. They also inhabit the Okhotsk Sea and the southern Bering Sea (figure 1).
Acknowledgements
This paper is dedicated to the memory and work of William (Bill) Perrin (1938-2022). Observations in the 1970s by the late Michael Bigg inspired further investigation into diversity within killer whales in the North Pacific. We are grateful to Mario do Reis for help determining divergence times for mammalian species based on [153]; Emma Luck for assistance with range map distributions and supporting data; Marty Kardos and Yaolei Zhang for providing SNP data; and to Lance Barrett-Lennard for helpful discussion. We are thankful to John Ford and one anonymous reviewer for helpful comments on the manuscript. Many people were involved in collecting the data and specimens on which this paper is based, and we thank all of them for the hard work and dedication.
Footnotes
An argument for sufficiency should weigh the evidence from genetics, morphology and behaviour leading to the conclusion that lineages have diverged and can no longer converge.
The -us ending is required for Latin masculine gender agreement with the genus Orcinus.
This is probably the same specimen associated with a skull reported by Dall (1874) from the California Academy of Sciences (CAS). If so, this skull collected by Scammon would have been the holotype specimen for O. rectipinnus. However, any such specimen is no longer in existence, as the 1906 San Francisco earthquake and resulting fire destroyed the entire CAS collection, including all records (M. Flannery, in litt., 8 April 2022).
Contributor Information
Phillip A. Morin, Email: Phillip.Morin@noaa.gov.
Morgan L. McCarthy, Email: morgan.lee.mccarthy@gmail.com.
Charissa W. Fung, Email: fung@zoology.ubc.ca.
John W. Durban, Email: john.durban@oregonstate.edu.
Kim M. Parsons, Email: kim.parsons@noaa.gov.
Barbara L. Taylor, Email: subspecies.def@gmail.com.
Thomas A. Jefferson, Email: tom.jefferson@noaa.gov.
Frederick I. Archer, Email: eric.archer@noaa.gov.
Ethics
All data in this study were previously published, and samples were collected under ethics approval and permits appropriate for the cited studies.
Data accessibility
No new data were generated in support of this research. Methods for principal components reanalysis of genetic data are presented in supplemental materials. Genotype data that were from previous studies [56,113], but not publicly available, have been archived in the Dryad Digital Repository [154].
Electronic supplementary material is available online [155].
Declaration of AI use
We have not used AI-assisted technologies in creating this article.
Authors’ contributions
P.A.M.: conceptualization, data curation, formal analysis, project administration, writing—original draft; M.L.M.: data curation, writing—review and editing; C.W.F.: formal analysis, methodology, writing—review and editing; J.W.D.: data curation, writing—review and editing; K.M.P.: data curation, writing—review and editing; W.F.P.: conceptualization, data curation; B.L.T.: conceptualization, methodology, supervision, writing—review and editing; T.A.J.: data curation, formal analysis, methodology, writing—original draft; F.I.A.: conceptualization, writing—review and editing.
All authors gave final approval for publication and agreed to be held accountable for the work performed therein.
Conflict of interest declaration
We declare we have no competing interests.
Funding
Research support for this study was provided by the Marine Mammal and Turtle Division, Southwest Fisheries Science Center, NOAA.
References
- 1. Forney KA, Wade PR. 2006. Worldwide distribution and abundance of killer whales. In Whales, whaling and ocean ecosystems (eds Estes JA, DeMaster DP, Doak DF, Williams TM, Brownell RL), pp. 145–162, University of California Press. [Google Scholar]
- 2. Perrin WF. 2006. Review of the nomenclature of killer whales. NOAA Administrative Report NMFS-SWFSC. LJ-06-01. [Google Scholar]
- 3. Heyning JE, Dahlheim ME. 1988. Orcinus orca. Mamm. Species. 304 , 1–9. ( 10.2307/3504225) [DOI] [Google Scholar]
- 4. Hershkovitz P. 1966. Catalog of living whales. Bull. U.S. Natl. Mus. 246 , 1–259. ( 10.5479/si.03629236.246) [DOI] [Google Scholar]
- 5. Committee on Taxonomy . 2022. List of marine mammal species and subspecies. See www.marinemammalscience.org (accessed 19 December 2022)
- 6. Pitman RL, Ensor P. 2003. Three forms of killer whales (Orcinus orca) in Antarctic waters. J. Cetacean Res. Manag. 5 , 131–139. ( 10.47536/jcrm.v5i2.813) [DOI] [Google Scholar]
- 7. Morin PA, et al. 2010. Complete mitochondrial genome phylogeographic analysis of killer whales (Orcinus orca) indicates multiple species. Genome. Res. 20 , 908–916. ( 10.1101/gr.102954.109) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. LeDuc RG, Robertson KM, Pitman RL. 2008. Mitochondrial sequence divergence among Antarctic killer whale ecotypes is consistent with multiple species. Biol. Lett. 4 , 426–429. ( 10.1098/rsbl.2008.0168) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Foote AD, et al. 2023. “Type D” killer whale genomes reveal long-term small population size and low genetic diversity. J. Hered. 114 , 94–109. ( 10.1093/jhered/esac070) [DOI] [PubMed] [Google Scholar]
- 10. Reeves RR, Perrin WF, Taylor BL, Baker CS, Mesnick SL. 2004. Year report of the workshop on the shortcomings of cetacean taxonomy in relation to needs of conservation and management, April 30 - May 2. In Cetacean systematics: approaches in genetics, morphology, and behavior, La Jolla, CA, USA. [Google Scholar]
- 11. Ford JKB, Ellis GM, Barrett-Lennard LG, Morton AB, Palm RS, Balcomb KC. 1998. Dietary specialization in two sympatric populations of killer whales ( Orcinus orca ) in coastal British Columbia and adjacent waters. Can. J. Zool. 76 , 1456–1471. ( 10.1139/z98-089) [DOI] [Google Scholar]
- 12. Foote AD, Newton J, Piertney SB, Willerslev E, Gilbert MTP. 2009. Ecological, morphological and genetic divergence of sympatric North Atlantic killer whale populations. Mol. Ecol. 18 , 5207–5217. ( 10.1111/j.1365-294x.2009.04407.x) [DOI] [PubMed] [Google Scholar]
- 13. Foote AD, et al. 2016. Genome-culture coevolution promotes rapid divergence of killer whale. Nat. Commun. 7 , 11693. ( 10.1038/ncomms11693) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Foote AD, et al. 2011. Genetic differentiation among North Atlantic killer whale populations. Mol. Ecol. 20 , 629–641. ( 10.1111/j.1365-294X.2010.04957.x) [DOI] [PubMed] [Google Scholar]
- 15. Morin PA, et al. 2015. Geographic and temporal dynamics of a global radiation and diversification in the killer whale. Mol. Ecol. 24 , 3964–3979. ( 10.1111/mec.13284) [DOI] [PubMed] [Google Scholar]
- 16. Durban JW, Fearnbach H, Burrows DG, Ylitalo GM, Pitman RL. 2017. Morphological and ecological evidence for two sympatric forms of Type B killer whale around the Antarctic Peninsula. Polar Biol. 40 , 231–236. ( 10.1007/s00300-016-1942-x) [DOI] [Google Scholar]
- 17. Bigg MA, MacAskie IB, Ellis GM. 1976. Abundance and movements of killer whales off Eastern and Southern Vancouver Island with comments on management (preliminary unpublished report). Anne de Bellevue, Quebec: Arctic Biological Station, Ste. [Google Scholar]
- 18. Pitman RL, Perryman WL, LeRoi D, Eilers E. 2007. A dwarf form of killer whale in Antarctica. J. Mammal. 88 , 43–48. ( 10.1644/06-MAMM-A-118R1.1) [DOI] [Google Scholar]
- 19. Durban JW, Fearnbach H, Paredes A, Hickmott LS, LeRoi DJ. 2021. Size and body condition of sympatric killer whale ecotypes around the Antarctic Peninsula. Mar. Ecol. Prog. Ser. 677 , 209–217. ( 10.3354/meps13866) [DOI] [Google Scholar]
- 20. Kotik C, Durban JW, Fearnbach H, Barrett‐Lennard LG. 2023. Morphometrics of mammal‐eating killer whales from drone photogrammetry, with comparison to sympatric fish‐eating killer whales in the eastern North Pacific. Mar. Mammal Sci. 39 , 42–58. ( 10.1111/mms.12965) [DOI] [Google Scholar]
- 21. Pitman RL, Durban JW, Greenfelder M, Guinet C, Jorgensen M, Olson PA, Plana J, Tixier P, Towers JR. 2011. Observations of a distinctive morphotype of killer whale (Orcinus orca), type D, from subantarctic waters. Polar Biol. 34 , 303–306. ( 10.1007/s00300-010-0871-3) [DOI] [Google Scholar]
- 22. Baird RW, Stacey PJ. 1988. Variation in saddle patch pigmentation in populations of killer whales (Orcinus orca ) from British Columbia, Alaska, and Washington State. Can. J. Zool. 66 , 2582–2585. ( 10.1139/z88-380) [DOI] [Google Scholar]
- 23. Emmons CK, Hard JJ, Dahlheim ME, Waite JM. 2019. Quantifying variation in killer whale (Orcinus orca) morphology using elliptical Fourier analysis. Mar. Mamm. Sci.. 35 , 5–21. ( 10.1111/mms.12505) [DOI] [Google Scholar]
- 24. Baird RW, Whitehead H. 2000. Social organization of mammal-eating killer whales: group stability and dispersal patterns. Can. J. Zool. 78 , 2096–2105. ( 10.1139/z00-155) [DOI] [Google Scholar]
- 25. Bigg MA, Olesiuk GM, Ellis GM, Ford JKB, Balcomb KC. 1990. Social organization and genealogy of resident killer whales (Orcinus orca) in the coastal waters of British Columbia and Washington State. Rep. Int. Whal. Commn (Spec Issue). 12 , 386–406. [Google Scholar]
- 26. Deecke VB, Ford JK, Spong P. 2000. Dialect change in resident killer whales: implications for vocal learning and cultural transmission. Anim. Behav. 60 , 629–638. ( 10.1006/anbe.2000.1454) [DOI] [PubMed] [Google Scholar]
- 27. Riesch R, Barrett-lennard LG, Ellis GM, Ford JKB, Deecke VB. 2012. Cultural traditions and the evolution of reproductive isolation: ecological speciation in killer whales? Biol. J. Linn. Soc. 106 , 1–17. ( 10.1111/j.1095-8312.2012.01872.x) [DOI] [Google Scholar]
- 28. Ford JKB, Fisher HD. 1982. Killer whale (Orcinus orca) dialects as an indicator of stocks in British Columbia. Rep. Mtg Int. Whal. Commn. 32 , 671–679. [Google Scholar]
- 29. Barrett-lennard LG, Ford JKB, Heise KA. 1996. The mixed blessing of echolocation: differences in sonar use by fish-eating and mammal-eating killer whales. Anim. Behav. 51 , 553–565. ( 10.1006/anbe.1996.0059) [DOI] [Google Scholar]
- 30. Ford JKB. 1991. Vocal traditions among resident killer whales (Orcinus orca) in coastal waters of British Columbia. Can. J. Zool. 69 , 1454–1483. ( 10.1139/z91-206) [DOI] [Google Scholar]
- 31. Yurk H, Barrett-Lennard L, Ford JKB, Matkin CO. 2002. Cultural transmission within maternal lineages: vocal clans in resident killer whales in southern Alaska. Anim. Behav. 63 , 1103–1119. ( 10.1006/anbe.2002.3012) [DOI] [Google Scholar]
- 32. Baird RW, Abrams PA, Dill LM. 1992. Possible indirect interactions between transient and resident killer whales: implications for the evolution of foraging specializations in the genus Orcinus. Oecologia 89 , 125–132. ( 10.1007/BF00319024) [DOI] [PubMed] [Google Scholar]
- 33. Ford JKB, Ellis GM, Matkin CO, Wetklo MH, Barrett-Lennard LG, Withler RE. 2011. Shark predation and tooth wear in a population of northeastern Pacific killer whales. Aquat. Biol. 11 , 213–224. ( 10.3354/ab00307) [DOI] [Google Scholar]
- 34. Bigg MA, Ellis GM, Ford JKB, Balcomb KC. 1987. Killer whales: A study of their identification, genealogy, and natural history in British Columbia and Washington State. Nanaimo, BC: Phantom Press. [Google Scholar]
- 35. Deecke VB, Slater PJB, Ford JKB. 2002. Selective habituation shapes acoustic predator recognition in harbour seals. Nature 420 , 171–173. ( 10.1038/nature01030) [DOI] [PubMed] [Google Scholar]
- 36. Pitman RL, Durban JW. 2010. Killer whale predation on penguins in Antarctica. Polar Biol. 33 , 1589–1594. ( 10.1007/s00300-010-0853-5) [DOI] [Google Scholar]
- 37. Pitman RL, Durban JW. 2012. Cooperative hunting behavior, prey selectivity and prey handling by pack ice killer whales ( Orcinus orca ), type B, in Antarctic Peninsula waters. Mar. Mammal Sci. 28 , 16–36. ( 10.1111/j.1748-7692.2010.00453.x) [DOI] [Google Scholar]
- 38. Foote AD, Newton J, Ávila-Arcos MC, Kampmann ML, Samaniego JA, Post K, Rosing-Asvid A, Sinding MHS, Gilbert MTP. 2013. Tracking niche variation over millennial timescales in sympatric killer whale lineages. Proc. Biol. Sci. B 280 , 20131481. ( 10.1098/rspb.2013.1481) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Hanson MB, et al. 2021. Endangered predators and endangered prey: seasonal diet of Southern Resident killer whales. PLoS One. 16 , e0247031. ( 10.1371/journal.pone.0247031) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Ford JKB, Ellis GM. 1999. Transients: mammal-hunting killer whales of British Columbia, Washington, and Southeastern Alaska. Vancouver: UBC Press. [Google Scholar]
- 41. Herman DP, Burrows DG, Wade PR, Durban JW, Matkin CO, LeDuc RG, Barrett-Lennard LG, Krahn MM. 2005. Feeding ecology of eastern North Pacific killer whales Orcinus orca from fatty acid, stable isotope, and organochlorine analyses of blubber biopsies. Mar. Ecol. Prog. Ser. 302 , 275–291. ( 10.3354/meps302275) [DOI] [Google Scholar]
- 42. Saulitis E, Matkin C, Barrett‐Lennard L, Heise K, Ellis G. 2000. Foraging strategies of sympatric killer whale (Orcinus orca) populations in Prince William Sound, Alaska. Mar. Mammal Sci. 16 , 94–109. ( 10.1111/j.1748-7692.2000.tb00906.x) [DOI] [Google Scholar]
- 43. Hanson MB, Ward EJ, Emmons CK, Holt MM, Holzer DM. 2017. Assessing the movements and occurrence of Southern Resident Killer Whales relative to the U.S. Navy’S Northwest Training Range Complex in the Pacific Northwest. Prepared for: U.S. Navy, U.S. Pacific Fleet, Pearl Harbor, HI. Prepared by: National Oceanic and Atmospheric Administration, Northwest Fisheries Science Center under MIPR N00070-15-MP-4C363. 30 June 2017 , 23p.
- 44. Ford JKB, Ellis GM. 2006. Selective foraging by fish-eating killer whales Orcinus orca in British Columbia. Mar. Ecol. Prog. Ser. 316 , 185–199. ( 10.3354/meps316185) [DOI] [Google Scholar]
- 45. Ford MJ, et al. 2016. Estimation of a Killer Whale (Orcinus orca) Population’s Diet Using Sequencing Analysis of DNA from Feces. PLoS One. 11 , e0144956. ( 10.1371/journal.pone.0144956) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Dahlheim ME, Schulman‐Janiger A, Black N, Ternullo R, Ellifrit D, Balcomb III KC. 2008. Eastern temperate North Pacific offshore killer whales ( Orcinus orca ): occurrence, movements, and insights into feeding ecology. Mar. Mammal Sci. 24 , 719–729. ( 10.1111/j.1748-7692.2008.00206.x) [DOI] [Google Scholar]
- 47. Krahn MM, et al. 2007. Use of chemical tracers in assessing the diet and foraging regions of eastern North Pacific killer whales. Mar. Environ. Res. 63 , 91–114. ( 10.1016/j.marenvres.2006.07.002) [DOI] [PubMed] [Google Scholar]
- 48. Mitani Y, Kita YF, Saino S, Yoshioka M, Ohizumi H, Nakahara F. 2021. Mitochondrial DNA Haplotypes of Killer Whales around Hokkaido, Japan. Mammal Study 46 , 205–211. ( 10.3106/ms2020-0072) [DOI] [Google Scholar]
- 49. Madrigal BC, Crance JL, Berchok CL, Stimpert AK. 2021. Call repertoire and inferred ecotype presence of killer whales (Orcinus orca) recorded in the southeastern Chukchi Sea . J. Acoust. Soc. Am. 150 , 145–158. ( 10.1121/10.0005405) [DOI] [PubMed] [Google Scholar]
- 50. Durban JW, Matkin CO, Ellifrit DK, Andrews RD, Barrett-Lennard LG. 2023. Quantifying a stopover of killer whales preying on gray whales rounding the Alaska Peninsula. Mar. Ecol. Prog. Ser. 724 , 1–15. ( 10.3354/meps14470) [DOI] [Google Scholar]
- 51. Filatova OA, Shpak OV, Ivkovich TV, Volkova EV, Fedutin ID, Ovsyanikova EN, Burdin AM, Hoyt E. 2019. Large-scale habitat segregation of fish-eating and mammal-eating killer whales (Orcinus orca) in the western North Pacific. Polar Biol. 42 , 931–941. ( 10.1007/s00300-019-02484-6) [DOI] [Google Scholar]
- 52. Carretta JV, et al. 2023. U.S. Pacific Marine Mammal Stock Assessments: 2022. U.S. Department of Commerce. ( 10.25923/5ysf-gt95) [DOI] [Google Scholar]
- 53. Young NC, et al. 2023. Alaska Marine Mammal Stock Assessments, 2022. ( 10.25923/ds2w-9545) [DOI] [Google Scholar]
- 54. Filatova OA, Fedutin ID, Borisova EA, Meschersky IG, Hoyt E. 2023. Genetic and cultural evidence suggests a refugium for killer whales off Japan during the Last Glacial Maximum. Mar. Mamm. Sci. 39 , 1240–1250. ( 10.1111/mms.13046) [DOI] [Google Scholar]
- 55. Foote AD, Morin PA, Durban JW, Willerslev E, Orlando L, Gilbert MTP. 2011. Out of the Pacific and back again: insights into the matrilineal history of Pacific killer whale ecotypes. PLoS One 6 , e24980. ( 10.1371/journal.pone.0024980) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Parsons KM, et al. 2013. Geographic patterns of genetic differentiation among killer whales in the northern North Pacific. J. Hered. 104 , 737–754. ( 10.1093/jhered/est037) [DOI] [PubMed] [Google Scholar]
- 57. Moura AE, Kenny JG, Chaudhuri RR, Hughes MA, Reisinger RR, de Bruyn PJN, Dahlheim ME, Hall N, Hoelzel AR. 2015. Phylogenomics of the killer whale indicates ecotype divergence in sympatry. Heredity (Edinb) 114 , 48–55. ( 10.1038/hdy.2014.67) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Moura AE, et al. 2014. Population genomics of the killer whale indicates ecotype evolution in sympatry involving both selection and drift. Mol. Ecol. 23 , 5179–5192. ( 10.1111/mec.12929) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Foote AD, et al. 2019. Killer whale genomes reveal a complex history of recurrent admixture and vicariance. Mol. Ecol. 28 , 3427–3444. ( 10.1111/mec.15099) [DOI] [PubMed] [Google Scholar]
- 60. Foote AD, et al. 2021. Runs of homozygosity in killer whale genomes provide a global record of demographic histories. Mol. Ecol. 30 , 6162–6177. ( 10.1111/mec.16137) [DOI] [PubMed] [Google Scholar]
- 61. Krahn MM, et al. 2004. Status review of Southern Resident killer whales (Orcinus orca) under the Endangered Species Act. NOAA Technical Memorandum NMFS-NWFSC-62. [Google Scholar]
- 62. Foote AD, Morin PA. 2016. Genome-wide SNP data suggest complex ancestry of sympatric North Pacific killer whale ecotypes. Heredity (Edinb) 117 , 316–325. ( 10.1038/hdy.2016.54) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Taylor BL, Perrin WF, Reeves RR, Rosel PE, Wang JY, Cipriano F, Scott Baker C, Brownell RL. 2017. Why we should develop guidelines and quantitative standards for using genetic data to delimit subspecies for data‐poor organisms like cetaceans. Mar. Mamm. Sci. 33 , 12–26. ( 10.1111/mms.12413)https://onlinelibrary.wiley.com/toc/17487692/33/S1 [DOI] [Google Scholar]
- 64. Thomson SA, et al. 2018. Taxonomy based on science is necessary for global conservation. PLoS Biol. 16 , e2005075. ( 10.1371/journal.pbio.2005075) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Mayr E, Ashlock PK. 1991. Principles of systematic zoology. New York: McGraw-Hill. [Google Scholar]
- 66. Patten MA, Unitt P. 2002. Diagnosability versus mean differences of sage sparrow subspecies. Auk. 119 , 26–35. ( 10.1093/auk/119.1.26) [DOI] [Google Scholar]
- 67. De Queiroz K. 2007. Species concepts and species delimitation. Syst. Biol. 56 , 879–886. ( 10.1080/10635150701701083) [DOI] [PubMed] [Google Scholar]
- 68. Lee MSY. 2003. Species concepts and species reality: salvaging a Linnaean rank. J. Evol. Biol. 16 , 179–188. ( 10.1046/j.1420-9101.2003.00520.x) [DOI] [PubMed] [Google Scholar]
- 69. Sites JW, Marshall JC. 2004. Operational criteria for delimiting species. Annu. Rev. Ecol. Evol. Syst. 35 , 199–227. ( 10.1146/annurev.ecolsys.35.112202.130128) [DOI] [Google Scholar]
- 70. Hausdorf B. 2011. Progress toward a general species concept. Evolution 65 , 923–931. ( 10.1111/j.1558-5646.2011.01231.x) [DOI] [PubMed] [Google Scholar]
- 71. Taylor BL, et al. 2017. Guidelines and quantitative standards to improve consistency in cetacean subspecies and species delimitation relying on molecular genetic data. Mar. Mamm. Sci. 33 , 132–155. ( 10.1111/mms.12411) [DOI] [Google Scholar]
- 72. Rosel PE, et al. 2017. Examining metrics and magnitudes of molecular genetic differentiation used to delimit cetacean subspecies based on mitochondrial DNA control region sequences. Mar. Mamm. Sci. 33 (special issue), 76–100. ( 10.1111/mms.12410) [DOI] [Google Scholar]
- 73. Schluter D, Conte GL. 2009. Genetics and ecological speciation. Proc. Natl. Acad. Sci. U.S.A. 106 Suppl 1, 9955–9962. ( 10.1073/pnas.0901264106) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Wu CI, Ting CT. 2004. Genes and speciation. Nat. Rev. Genet. 5 , 114–122. ( 10.1038/nrg1269) [DOI] [PubMed] [Google Scholar]
- 75. Baird RW, Dill LM. 1995. Occurrence and behaviour of transient killer whales: seasonal and pod-specific variability, foraging behaviour, and prey handling. Can. J. Zool. 73 , 1300–1311. ( 10.1139/z95-154) [DOI] [Google Scholar]
- 76. Morton AB 1990. A quantitative comparison of the behaviour of resident and transient forms of killer whale off the central British Columbia coast. In Report of the International Whaling Commission (Special Issue 12) pp. 245–248 Report No.: SC/A88/P17.
- 77. Matkin CO, Ellis G, Olesiuk P, Saulitis E. 1999. Association patterns and inferred genealogies of resident killer whales, Orcinus orca, in Prince William Sound, Alaska. Fish B-Noaa 97 , 900–919. [Google Scholar]
- 78. Ford MJ, et al. 2011. Inferred Paternity and Male Reproductive Success in a Killer Whale (Orcinus orca) Population. J. Hered. 102 , 537–553. ( 10.1093/jhered/esr067) [DOI] [PubMed] [Google Scholar]
- 79. Ford, J. K. B. , Ellis, G. M. , Balcomb, K. C. I. . 2000. Killer whales: the natural history and genealogy of Orcinus orca in British Columbia and Washington State, 2nd edn. Vancouver: University of British Columbia Press. [Google Scholar]
- 80. Barrett-Lennard LG, Ellis GM. 2001. Population structure and genetic variability in northeastern Pacific killer whales: towards an assessment of population viability. Ottawa, Canada: Canadian Science Advisory Secretariat. [Google Scholar]
- 81. Stredulinsky EH, Darimont CT, Barrett-Lennard L, Ellis GM, Ford JKB. 2021. Family feud: permanent group splitting in a highly philopatric mammal, the killer whale (Orcinus orca). Behav. Ecol. Sociobiol. 75 . ( 10.1007/s00265-021-02992-8) [DOI] [Google Scholar]
- 82. Nielsen MLK, et al. 2023. Temporal dynamics of mother–offspring relationships in Bigg’s killer whales: opportunities for kin-directed help by post-reproductive females. Proc. R. Soc. B. 290 . ( 10.1098/rspb.2023.0139) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Ford JKB, Ellis GM. 2014. You are what you eat: foraging specializations and their influence on the social organization and behavior of killer whales. In Primates and cetaceans: Field research and conservation of complex mammalian societies (ed Karczmarski L), pp. 75–98, Japan: Springer. [Google Scholar]
- 84. Hanson MB, et al. 2010. Species and stock identification of prey consumed by endangered southern resident killer whales in their summer range. Endang. Species. Res. 11 , 69–82. ( 10.3354/esr00263) [DOI] [Google Scholar]
- 85. Filatova OA, Borisova EA, Shpak OV, Meschersky IG, Tiunov AV, Goncharov AA, Fedutin ID, Burdin AM. 2015. Reproductively isolated ecotypes of killer whales Orcinus orca in the seas of the Russian Far East. Biol. Bull. Russ. Acad. Sci. 42 , 674–681. ( 10.1134/S1062359015070043) [DOI] [Google Scholar]
- 86. Borisova EA, Filatova OA, Fedutin ID, Tiunov AV, Shpak OV, Hoyt E. 2020. Ecotype and geographical variation in carbon and nitrogen stable isotope values in western North Pacific killer whales (Orcinus orca). Mar. Mamm. Sci.. 36 , 925–938. ( 10.1111/mms.12688) [DOI] [Google Scholar]
- 87. Krahn MM, Pitman RL, Burrows DG, Herman DP, Pearce RW. 2008. Use of chemical tracers to assess diet and persistent organic pollutants in Antarctic Type C killer whales. Mar. Mammal Sci. 24 , 643–663. ( 10.1111/j.1748-7692.2008.00213.x) [DOI] [Google Scholar]
- 88. Ylitalo GM, Matkin CO, Buzitis J, Krahn MM, Jones LL, Rowles T, Stein JE. 2001. Influence of life-history parameters on organochlorine concentrations in free-ranging killer whales (Orcinus orca) from Prince William Sound, AK. Sci. Total Environ. 281 , 183–203. ( 10.1016/s0048-9697(01)00846-4) [DOI] [PubMed] [Google Scholar]
- 89. Ross PS. 2006. Fireproof killer whales (Orcinus orca): flame-retardant chemicals and the conservation imperative in the charismatic icon of British Columbia, Canada . Can. J. Fish. Aquat. Sci. 63 , 224–234. ( 10.1139/f05-244) [DOI] [Google Scholar]
- 90. Heimlich-Boran JR. 1988. Behavioral ecology of killer whales (Orcinus orca) in the Pacific Northwest . Can. J. Zool. 66 , 565–578. ( 10.1139/z88-084) [DOI] [Google Scholar]
- 91. Nichol LM, Shackleton DM. 1996. Seasonal movements and foraging behaviour of northern resident killer whales (Orcinus orca) in relation to the inshore distribution of salmon (Oncorhynchus spp.) in British Columbia . Can. J. Zool. 74 , 983–991. ( 10.1139/z96-111) [DOI] [Google Scholar]
- 92. Matkin CO, Barrett-Lennard LG, Yurk H, Ellifrit D, Trites AW. 2007. Ecotypic variation and predatory behavior among killer whales (Orcinus orca) off the eastern Aleutian Islands, Alaska. Fish B-Noaa. 105 , 74–87. [Google Scholar]
- 93. Yurk H, Filatova O, Matkin CO, Barrett-Lennard LG, Brittain M. 2010. Sequential habitat use by two resident killer whale (Orcinus orca) clans in resurrection Bay, Alaska, as determined by remote acoustic monitoring. Aquat. Mamm. 36 , 67–78. ( 10.1578/AM.36.1.2010.67) [DOI] [Google Scholar]
- 94. Foote AD, Nystuen JA. 2008. Variation in call pitch among killer whale ecotypes. J. Acoust. Soc. Am. 123 , 1747–1752. ( 10.1121/1.2836752) [DOI] [PubMed] [Google Scholar]
- 95. Riesch R, Deecke VB. 2011. Whistle communication in mammal-eating killer whales (Orcinus orca): further evidence for acoustic divergence between ecotypes. Behav. Ecol. Sociobiol. 65 , 1377–1387. ( 10.1007/s00265-011-1148-8) [DOI] [Google Scholar]
- 96. Filatova OA, Miller PJO, Yurk H, Samarra FIP, Hoyt E, Ford JKB, Matkin CO, Barrett-Lennard LG. 2015. Killer whale call frequency is similar across the oceans, but varies across sympatric ecotypes. J. Acoust. Soc. Am. 138 , 251–257. ( 10.1121/1.4922704) [DOI] [PubMed] [Google Scholar]
- 97. Deecke VB, Ford JKB, Slater PJB. 2005. The vocal behaviour of mammal-eating killer whales: communicating with costly calls. Anim. Behav. 69 , 395–405. ( 10.1016/j.anbehav.2004.04.014) [DOI] [Google Scholar]
- 98. Ford JKB. 1984. Call traditions and vocal dialects of killer whales (Orcinus orca) in British. Columbia: University of British Columbia. [Google Scholar]
- 99. Ford JKB. 1989. Acoustic behaviour of resident killer whales ( Orcinus orca ) off Vancouver Island, British Columbia. Can. J. Zool. 67 , 727–745. ( 10.1139/z89-105) [DOI] [PubMed] [Google Scholar]
- 100. Au WWL, Ford JKB, Horne JK, Allman KAN. 2004. Echolocation signals of free-ranging killer whales (Orcinus orca) and modeling of foraging for chinook salmon (Oncorhynchus tshawytscha). J. Acoust. Soc. Am. 115 , 901–909. ( 10.1121/1.1642628) [DOI] [PubMed] [Google Scholar]
- 101. Durban J, et al. 2010. Photographic mark-recapture analysis of clustered mammal-eating killer whales around the Aleutian Islands and Gulf of Alaska. Mar. Biol. 157 , 1591–1604. ( 10.1007/s00227-010-1432-6) [DOI] [Google Scholar]
- 102. Fearnbach H, Durban JW, Ellifrit DK, Waite JM, Matkin CO, Lunsford CR, Peterson MJ, Barlow J, Wade PR. 2014. Spatial and social connectivity of fish-eating “Resident” killer whales (Orcinus orca) in the northern North Pacific. Mar Biol. 161 , 459–472. ( 10.1007/s00227-013-2351-0) [DOI] [Google Scholar]
- 103. Fung, C. W. 2016. Cranial shape correlates with diet specialization in Northeast Pacific killer whale (Orcinus orca) ecotypes [Master of Science]. Vancouver: University of British Columbia. [Google Scholar]
- 104. Braulik GT, I. Archer F, Khan U, Imran M, Sinha RK, Jefferson TA, Donovan C, Graves JA. 2021. Taxonomic revision of the South Asian River dolphins (Platanista): Indus and Ganges River dolphins are separate species. Mar. Mamm. Sci.. 37 , 1022–1059. ( 10.1111/mms.12801) [DOI] [Google Scholar]
- 105. Jefferson TA, Wang JY. 2011. Revision of the taxonomy of finless porpoises (genus Neophocaena): The existence of two species. JMATE. 4 , 3–16. [Google Scholar]
- 106. Heyning JE, Perrin WF. 1994. Evidence for two species of common dolphins (genus Delphinus) from the eastern North Pacific. Contributions in Science. 442 , 35. ( 10.5962/p.226804) [DOI] [Google Scholar]
- 107. Hoelzel AR. 1998. Genetic structure of cetacean populations in sympatry, parapatry, and mixed assemblages: implications for conservation policy. J. Hered. 89 , 451–458. ( 10.1093/jhered/89.5.451) [DOI] [Google Scholar]
- 108. Hoelzel AR, Dahlheim M, Stern SJ. 1998. Low genetic variation among killer whales (Orcinus orca) in the eastern North Pacific and genetic differentiation between foraging specialists. J. Hered. 89 , 121–128. ( 10.1093/jhered/89.2.121) [DOI] [PubMed] [Google Scholar]
- 109. Hoelzel AR, Natoli A, Dahlheim ME, Olavarria C, Baird RW, Black NA. 2002. Low worldwide genetic diversity in the killer whale (Orcinus orca): implications for demographic history . Proc. R. Soc. Lond. B. 269 , 1467–1473. ( 10.1098/rspb.2002.2033) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110. Hoelzel AR, Hey J, Dahlheim ME, Nicholson C, Burkanov V, Black N. 2007. Evolution of population structure in a highly social top predator, the killer whale. Mol. Biol. Evol. 24 , 1407–1415. ( 10.1093/molbev/msm063) [DOI] [PubMed] [Google Scholar]
- 111. Pilot M, Dahlheim ME, Hoelzel AR. 2010. Social cohesion among kin, gene flow without dispersal and the evolution of population genetic structure in the killer whale (Orcinus orca). J. Evol. Biol. 23 , 20–31. ( 10.1111/j.1420-9101.2009.01887.x) [DOI] [PubMed] [Google Scholar]
- 112. Stevens TA, Duffield DA, Asper ED, Hewlett KG, Bolz A, Gage LJ, Bossart GD. 1989. Preliminary findings of restriction fragment differences in mitochondrial DNA among killer whales ( Orcinus orca ). Can. J. Zool. 67 , 2592–2595. ( 10.1139/z89-365) [DOI] [Google Scholar]
- 113. Kardos M, et al. 2023. Inbreeding depression explains killer whale population dynamics. Nat. Ecol. Evol. 7 , 675–686. ( 10.1038/s41559-023-01995-0) [DOI] [PubMed] [Google Scholar]
- 114. Morin PA, et al. 2023. Guidelines and quantitative standards for improved cetacean taxonomy using full mitochondrial genomes. J. Hered. 114 , 612–624. ( 10.1093/jhered/esad049) [DOI] [PubMed] [Google Scholar]
- 115. Rosel PE, et al. 2017. A review of molecular genetic markers and analytical approaches that have been used for delimiting marine mammal subspecies and species. Mar. Mamm. Sci. 33 (special issue), 56–75. ( 10.1111/mms.12412) [DOI] [Google Scholar]
- 116. Pritchard JK, Stephens M, Donnelly P. 2000. Inference of population structure using multilocus genotype data. Genetics. 155 , 945–959. ( 10.1093/genetics/155.2.945) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117. Ford MJ, Parsons KM, Ward EJ, Hempelmann JA, Emmons CK, Bradley Hanson M, Balcomb KC, Park LK. 2018. Inbreeding in an endangered killer whale population. Anim.Conserv. 21 , 423–432. ( 10.1111/acv.12413) [DOI] [Google Scholar]
- 118. Moura AE, et al. 2014. Killer whale nuclear genome and mtDNA reveal widespread population bottleneck during the last glacial maximum. Mol. Biol. Evol. 31 , 1121–1131. ( 10.1093/molbev/msu058) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119. Foote AD, Morin PA. 2015. Sympatric speciation in killer whales? Heredity (Edinb). 114 , 537–538. ( 10.1038/hdy.2014.120) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120. Li H, Durbin R. 2011. Inference of human population history from individual whole-genome sequences. Nature. 475 , 493–496. ( 10.1038/nature10231) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121. McGowen MR, et al. 2020. Phylogenomic resolution of the cetacean tree of life using target sequence capture. Syst. Biol. 69 , 479–501. ( 10.1093/sysbio/syz068) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122. Archer FI, Martien KK, Taylor BL. 2017. Diagnosability of mt DNA with random forests: using sequence data to delimit subspecies. Mar. Mamm. Sci. 33 (special issue), 101–131. ( 10.1111/mms.12414) [DOI] [Google Scholar]
- 123. Costa APB, Mcfee W, Wilcox LA, Archer FI, Rosel PE. 2022. The common bottlenose dolphin (Tursiops truncatus) ecotypes of the western North Atlantic revisited: an integrative taxonomic investigation supports the presence of distinct species . Zool. J. Linn. Soc. 196 , 1608–1636. ( 10.1093/zoolinnean/zlac025) [DOI] [Google Scholar]
- 124. Gray JE. 1870. Notes on the skulls of the genus Orca in the British Museum, and a notice of a specimen of the genus from the Seychelles. In Proceedings of the Zoological Society of London. pp. 70–77 [Google Scholar]
- 125. Cope in Scammon . 1869. Of the species of Cetaceans of the West coast of North America. In On the cetaceans of the western coast of North America Proceedings of the Academy of Natural Sciences of Philadelphia (ed Scammon CM), pp. 14–32, vol. 21. [Google Scholar]
- 126. Ross PS, Ellis GM, Ikonomou MG, Barrett-Lennard LG, Addison RF. 2000. High PCB concentrations in free-ranging Pacific killer whales, Orcinus orca: effects of age, sex and dietary preference. Mar. Pollut. Bull. 40 , 504–515. ( 10.1016/S0025-326X(99)00233-7) [DOI] [Google Scholar]
- 127. Lachmuth CL, Barrett-Lennard LG, Steyn DQ, Milsom WK. 2011. Estimation of southern resident killer whale exposure to exhaust emissions from whale-watching vessels and potential adverse health effects and toxicity thresholds. Mar. Pollut. Bull. 62 , 792–805. ( 10.1016/j.marpolbul.2011.01.002) [DOI] [PubMed] [Google Scholar]
- 128. Erbe C. 2002. Underwater noise of whale-watching boats and potential effects on 1203 killer whales (Orcinus orca), based on an acoustic impact model. Mar. Mamm. Sci. 18 , 394–418. ( 10.1111/j.1748-7692.2002.tb01045.x) [DOI] [Google Scholar]
- 129. Joy R, Tollit D, Wood J, MacGillivray A, Li ZZ, Trounce K, Robinson O. 2019. Potential benefits of vessel slowdowns on endangered southern resident killer whales. Front. Mar. Sci. 6 . ( 10.3389/fmars.2019.00344) [DOI] [Google Scholar]
- 130. Williams R, et al. 2021. Reducing vessel noise increases foraging in endangered killer whales. Mar. Pollut. Bull. 173 112976, ( 10.1016/j.marpolbul.2021.112976) [DOI] [PubMed] [Google Scholar]
- 131. Emmons CK, Hanson MB, Lammers MO. 2021. Passive acoustic monitoring reveals spatiotemporal segregation of two fish-eating killer whale Orcinus orca populations in proposed critical habitat. Endang. Species. Res. 44 , 253–261. ( 10.3354/esr01099) [DOI] [Google Scholar]
- 132. Desforges JP, et al. 2018. Predicting global killer whale population collapse from PCB pollution. Science. 361 , 1373–1376. ( 10.1126/science.aat1953) [DOI] [PubMed] [Google Scholar]
- 133. Lawson TM, Ylitalo GM, O’Neill SM, Dahlheim ME, Wade PR, Matkin CO, Burkanov V, Boyd DT. 2020. Concentrations and profiles of organochlorine contaminants in North Pacific resident and transient killer whale (Orcinus orca) populations. Sci. Total Environ. 722 , 137776. ( 10.1016/j.scitotenv.2020.137776) [DOI] [PubMed] [Google Scholar]
- 134. Carretta JV, et al. 2021. U.S. Pacific marine mammal stock assessments: 2020: U.S. Department of Commerce. Report No.: NOAA Technical Memorandum NMFS-SWFSC-646.
- 135. Jefferson TA, Rosenbaum HC. 2014. Taxonomic revision of the humpback dolphins (Sousa spp.), and description of a new species from Australia. Mar. Mamm. Sci. 30 , 1494–1541. ( 10.1111/mms.12152) [DOI] [Google Scholar]
- 136. Gray JE. 1846. On the Cetaceous animals. In The Zoology of the Voyage of H.M.S. Erebus and Terror, Under the Command of Captain Sir James Clark Ross, R.N., FR.S., During the Years 1839 to 1843 (eds Richardson J, Gray JE), pp. 13–53, vol. 1. E. W. Janson. [Google Scholar]
- 137. Gray JE. 1871. Supplement to the Catalogue of Seals and Whales in the British Museum. British Museum: Order of the Trustees. [Google Scholar]
- 138. Scammon CM. 1869. On the cetaceans of the western coast of North America. Proc. Acad. Nat. Sci. 21 , 13–63. [Google Scholar]
- 139. Scammon CM. 1872. The orca. Overland monthly. 9 , 52–57. [Google Scholar]
- 140. Scammon CM. 1874. The Marine Mammals of the Northwestern Coast of North America Together with an Account of the American Whale-Fishery. San Francisco: John H. Carmany and Co. ( 10.5962/bhl.title.16244) [DOI] [Google Scholar]
- 141. Witteveen J. 2016. Suppressing synonymy with a homonym: the emergence of the nomenclatural type concept in nineteenth century natural history. J. Hist. Biol. 49 , 135–189. ( 10.1007/s10739-015-9410-y) [DOI] [PubMed] [Google Scholar]
- 142. Morin PA, LeDuc RG, Robertson KM, Hedrick NM, Perrin WF, Etnier M, Wade P, Taylor BL. 2006. Genetic analysis of killer whale (Orcinus orca) historical bone and tooth samples to identify western U.S. ecotypes. Mar. Mammal Sci. 22 , 897–909. ( 10.1111/j.1748-7692.2006.00070.x) [DOI] [Google Scholar]
- 143. Ford JKB. 2014. Marine mammals of British Columbia. Victoria, British Columbia, Canada: Royal British Columbia Museum. [Google Scholar]
- 144. Jefferson TA, Webber MA, Pitman RL. 2015. Marine mammals of the world: A comprehensive guide to their identification. Academic Press/Elsevier. [Google Scholar]
- 145. Fearnbach H, Durban JW, Ellifrit DK, Balcomb KC. 2011. Size and long-term growth trends of endangered fish-eating killer whales. Endang. Species. Res. 13 , 173–180. ( 10.3354/esr00330) [DOI] [Google Scholar]
- 146. Durban JW, et al. 2022. Integrating remote sensing methods during controlled exposure experiments to quantify group responses of dolphins to navy sonar. Mar. Pollut. Bull. 174 , 113194. ( 10.1016/j.marpolbul.2021.113194) [DOI] [PubMed] [Google Scholar]
- 147. Ford JKB. 2018. Killer whale Orcinus Orca . In Encyclopedia of marine mammals (eds Thewissen JGM, Kovacs KM), pp. 531–537, Third Edition. San Diego: Academic Press. [Google Scholar]
- 148. Filatova OA, Borisova EA, Meschersky IG, Logacheva MD, Kuzkina NV, Shpak OV, Morin PA, Hoyt E. 2018. Colonizing the wild West: low diversity of complete mitochondrial genomes in Western North Pacific Killer Whales Suggests a Founder Effect. J. Hered. 109 , 735–743. ( 10.1093/jhered/esy037) [DOI] [PubMed] [Google Scholar]
- 149. Durban JW, Parsons KM. 2006. Laser-metrics of free-ranging killer whales. Mar. Mamm. Sci. 22 , 735–743. ( 10.1111/j.1748-7692.2006.00068.x) [DOI] [Google Scholar]
- 150. Fearnbach H. 2012. Individual-based population assessment for cetaceans: using photographs to infer abundance, demography and individual quality. Aberdeen, Scotland: University of Aberdeen. [Google Scholar]
- 151. Hanson MB, Emmons CK, Ward EJ, Nystuen JA, Lammers MO. 2013. Assessing the coastal occurrence of endangered killer whales using autonomous passive acoustic recorders. J. Acoust. Soc. Am. 134 , 3486–3495. ( 10.1121/1.4821206) [DOI] [PubMed] [Google Scholar]
- 152. Schulman-Janiger A, Black N, Ternullo R. 2011. Killer whales of California. Whalewatcher. 40 , 46–47. [Google Scholar]
- 153. Álvarez-Carretero S, Tamuri AU, Battini M, Nascimento FF, Carlisle E, Asher RJ, Yang Z, Donoghue PCJ, Dos Reis M. 2022. A species-level timeline of mammal evolution integrating phylogenomic data. Nature. 602 , 263–267. ( 10.1038/s41586-021-04341-1) [DOI] [PubMed] [Google Scholar]
- 154. Morin P, McCarthy ML, Fung CW, Durban JW, Parsons KM, Perrin WF, Taylor BL, Jefferson TA, Archer FI. 2024. Data from: Revised taxonomy of Eastern North Pacific killer whales (Orcinus Orca): Bigg’s and resident Ecotypes deserve species status. Dryad Digital Repository. ( 10.5061/dryad.d7wm37q5n) [DOI] [PMC free article] [PubMed]
- 155. Morin P, McCarthy ML, Fung CW, Durban J, Parsons KM, Perrin WF, Taylor BL, Jefferson TA, Archer FI. 2024. Data from: Revised taxonomy of eastern North Pacific killer whales (Orcinus orca): Bigg’s and resident ecotypes deserve species status. Figshare. ( 10.6084/m9.figshare.c.7095859) [DOI] [PMC free article] [PubMed]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
No new data were generated in support of this research. Methods for principal components reanalysis of genetic data are presented in supplemental materials. Genotype data that were from previous studies [56,113], but not publicly available, have been archived in the Dryad Digital Repository [154].
Electronic supplementary material is available online [155].





