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. 2025 Aug 20;20(8):e0328893. doi: 10.1371/journal.pone.0328893

Increased brain size of the dwarf Channel Island fox (Urocyon littoralis) challenges “Island Syndrome” and suggests little evidence of domestication

Kimberly A Schoenberger 1,2,*, Xiaoming Wang 2, Suzanne Edmands 1
Editor: Carlo Meloro3
PMCID: PMC12367152  PMID: 40833958

Abstract

Although changes in overall body size during species’ island adaptation is a well-established phenomenon, there are mixed findings regarding how brain size changes within resource-limited insular environments. Work on this issue has focused on fossil species and herbivores, with limited studies on carnivores and extant island species. Here, we aim to close this knowledge gap and expand our understanding of brain size evolution by examining the relative brain size of the extant island canid, the Channel Island fox (Urocyon littoralis) amongst its six island-specific subspecies and in comparison to its larger mainland relative, the gray fox (Urocyon cinereoargenteus). As the island fox was likely brought to the southern Channel Islands by indigenous peoples, this research is also relevant in exploring the impact of human transport and potential domestication on brain size. Our endocranial analysis found that foxes across five of the islands have a moderately higher relative brain size in comparison to the gray fox, with only the second smallest, most geographically isolated island, San Nicolas, exhibiting reduction. No significant differences in encephalization were found between sexes within any subspecies. These findings suggest that the selective pressures driving reduced body size on islands may not outweigh the adaptive benefits of increased brain size, with the exception of highly resource-constrained environments such as on San Nicolas. Disparity in brain size among the three southern islands and the increased encephalization of San Clemente and Santa Catalina foxes compared to the mainland gray fox further suggests that although humans may have facilitated transport of the southern island foxes, true domestication was likely not practiced. Broadly, this research indicates that brain size reduction is not a straightforward trait of island adaptation, and changes in insular species’ brain size will vary in conjunction with island-specific selective pressures.

Introduction

Island encephalization

How brain size in mammal species changes in response to available resources, behavior, predation, and other selective stressors is a long-contended field of research, particularly as it pertains to changes during island adaptation. To account for the variation in brain size among mammals, comparisons can be made through use of the Encephalization Quotient (EQ), the ratio of actual brain size relative to the expected brain size in a living mammal of the same body size [1]. In many instances, phyletic dwarfs on islands have been thought to have a substantially reduced EQ compared to their mainland counterparts [24]. These smaller “island brains” have been considered to be a foundational characteristic of “Island Syndrome”, a phenomenon in which island-dwelling species develop a set of distinct morphological and behavioral characteristics including dwarfism and gigantism, simplified locomotion and coloration (typically found in insular birds, e.g., loss of flight and dulling of plumage), and increased tameness and sociality [59]. A reduced EQ being inherent to island adaptation has commonly been attributed to the tradeoff between the energetically high expense of brain tissue relative to an organism’s body size versus the limited resources on islands as well as a reduction in predation pressures [2]. However, recent findings have shown this may not be as widely applicable as previously thought, with a growing number of species being found to demonstrate increased EQ during island adaptation despite decreasing their overall body size [10].

Insularity in Urocyon

The island fox (Urocyon littoralis) provides an excellent opportunity to further these studies. It is a prime example of island dwarfing at two-thirds the size of the mainland gray fox (Urocyon cinereoargenteus) [11] and is endemic to six of the eight Channel Islands of California, each with a unique subspecies. Though all island fox subspecies exhibit dwarfism, average body size varies somewhat among the islands and does not appear to be associated with geographic area, as the smallest subspecies is found on the largest island (Santa Cruz) and the second largest subspecies is found on the smallest island (San Miguel) [12]. The island fox is also of particular interest as the world’s only extant canid restricted entirely to islands; though there are other insular carnivore species, few are island-exclusive, and most are conspecific with mainland populations [13]. Further, both island and gray foxes exhibit minimal sexual size dimorphism (SSD), with males only marginally larger than females, and this difference is slightly greater in gray foxes [11,12,14]. This provides an interesting contrast to another island species, the dwarf elephant Elephas falconeri, which has been found to increase SSD during island adaptation, potentially as a result of higher levels of competition for females [15]. The combination of these factors in the island fox thus suggests that a range of selective pressures may be at play in regard to energy expenditure in the face of limited island resources.

In addition, the mainland gray fox, which gave rise to the island foxes, is widely available within 30–100 miles to the nearest shoreline of the islands, affording an optimal comparison for an ancestral/sister species. It is important to note, however, that although the gray fox is widely distributed throughout North and Central America with 16 recognized subspecies [16], there is substantial divergence between Eastern and Western populations, which split approximately 0.8 million years ago [17]. Within this divide, the island fox forms a distinct cluster most closely related to populations west of the North American Continental Divide [17], particularly those in California [18]. As such, this study only utilized specimens from four Western gray fox subspecies, all which cluster genetically close to one another [17] and can be found in ranges along or within 150 kilometers of the Pacific Coast. We verified that the gray fox subspecies were not significantly different in key phenotypic measurements (body mass, skull length, encephalization; S1 Fig) and therefore combined them into a single group for further analyses and comparisons to the island fox subspecies.

The Channel Island fox is also not the only documented instance of insularity within Urocyon; skeletal remains of another diminutive gray fox relative have been documented on Cozumel Island off the coast of Eastern Mexico [19]. Unfortunately, the Cozumel Island fox has not been formally classified as a distinct species due to very limited material (a singular cranium and miscellaneous postcrania). However, the size of the skeletal remains indicates that individuals living on the island were 60–80% the size of the mainland gray fox, and authors suggest that colonization predates human arrival [19].

Migratory history of the Channel Island fox

Genomic and radiocarbon evidence indicate the fox likely dispersed to the six Channel Islands in two waves—first, by natural migration to the three northern islands (then, the superisland of Santarosae when sea levels were higher), followed by a secondary dispersal to and among the three southern islands, likely through human transport [11,20,21]. The proposed natural migration to Santarosae is also supported by the findings in Cozumel [19], where foxes would have had to travel a similar distance from the mainland to colonize the island without the assistance of humans.

However, the second wave, human-assisted dispersal offers another avenue through which the island fox provides a unique test subject—examining potential effects of anthropogenic interactions on encephalization. Although the intensity of the relationship between indigenous peoples and island foxes is unclear, the distance of dispersal in combination with archaeological findings suggests some degree of cohabitation of island foxes and humans [2022]. This has implications for encephalization because cohabitation and reliance on humans, with the ultimate form being domestication, has been repeatedly shown to drive a decrease in brain size and EQ [2327]. This may be attributed to the significantly reduced cognitive function required for domesticated animals when food, shelter, and other necessities are readily available from human populations. As such, examining variation in EQ among the six island fox subspecies as well as in comparison to the mainland gray fox will help us further understand how mammalian neuroanatomy may evolve in the face of human interactions, geographic isolation, and limited resources.

Here, we explore brain size changes during the island dwarfing and insular evolution of the island fox, and how those changes may have contributed to its long-term survival on the Channel Islands. We performed measurements and analyses of brain size, cranial shape, and body size of the six island fox subspecies and four mainland gray fox subspecies, further subsetting by sex. The findings were then contrasted to other insular dwarf species to examine where EQ of the island fox falls in a broader context.

Materials and methods

Sampling

This study used existing skeletal specimens from mammalogy and vertebrate zoology collections at the Natural History Museum of Los Angeles County (LACM) and the Santa Barbra Museum of Natural History (SBNMH), respectively. As no new specimens were collected and no animals were trapped or sacrificed for the purposes of this work, no permits were required and the described study complied with all relevant regulations. A total of 287 skulls were used in the data analysis distributed among the six island fox subspecies (U. l. littoralis, U. l. santarosae, U. l. santacruzae, U. l. dickeyi, U. l. catalinae, U. l. clementae) (Table 1, Fig 1B) and four gray fox subspecies (U. c. californicus, U. c. scottii, U. c. townsendi, U. c. nigrirostris) (Fig 1A). Only complete skulls with known metadata were used; skulls that were damaged to the point that key measurements could not be taken were excluded. This sample size is of particular significance for research into brain size of insular mammals, as existing studies rely on fossil specimens, often with very limited sample sizes (sometimes just a single specimen) [24,10,28]. The full list of specimens used in this study is available in S1 Table.

Table 1. Channel Islands inhabited by island fox subspecies.

Northern Islands Subspecies Total Area (km2) Distance to closest land mass
San Miguel (SMI) U. l. littoralis 37.74 4.9 km to Santa Rosa
Santa Rosa (SRI) U. l. santarosae 215.27 4.9 km to San Miguel, 8.9 km to Santa Cruz
Santa Cruz (SCZ) U. l. santacruzae 249.95 8.9 km to Santa Rosa, 30.3 km to mainland
Southern Islands
Santa Catalina (SCA) U. l. catalinae 194.19 33 km to mainland
San Clemente (SCI) U. l. clementae 147.13 34 km to Santa Catalina
San Nicolas (SNI) U. l. dickeyi 58.93 82 km to Santa Catalina, 79 km to Clemente

Fig 1. Map of island and gray fox subspecies specimens used in this study.

Fig 1

Map showing ranges of gray and island fox subspecies used in this study (map data from Natural Earth [29] and NOAA [30]) A: Map of North America, regions for gray fox subspecies specimens indicated by highlighted colors: U. c. californicus (dark yellow), U. c. scottii (light yellow), U. c. townsendi (light green), U. c. nigrirostris (dark green). Striped pattern for California illustrates presence of multiple subspecies. Data points show locations where specimens were collected: diamonds indicate specimens with exact coordinates, X-circles indicate specimens where only the general area was documented. U.S. state abbreviations: California (CA), Arizona (AZ), New Mexico (NM); Mexico province abbreviations: Sonoma (SO), Jalisco (JA), Colima (CL). Dashed blue line illustrates Continental Divide [31]. Dark gray rectangle indicates area represented in B. B: Inset map of the Channel Islands of California. Northern islands in blue shades (San Miguel (SMI), Santa Rosa (SRI), and Santa Cruz (SCZ)), southern islands in red shades (Santa Catalina (SCA), San Clemente (SCI), and San Nicolas (SNI)). Due to the small geographic range of the islands, exact collection locations for island fox specimens not shown. Smaller islands not inhabited by foxes shaded in dark gray (Anacapa (AI) and Santa Barbara (SBI)). Outline of light gray shade around northern islands indicates maximum shoreline of superisland Santarosae at glacial maxima [32], before the arrival of the island foxes. Santarosae shoreline generated from NOAA bathymetry data [33] with estimated sea level 120 m below present [32]. Blue arrow indicates first wave of migration to Santarosae, orange arrows indicate second wave of migration to Southern islands.

Volumetric and linear measurements

Brain sizes for all specimens were measured using endocranial volume (ECV), where one cubic centimeter serves as a proxy for one gram of brain weight [1]. ECV measurements were obtained by pouring glass microbeads of approximately 1 mm in diameter into the foramen magnum of each skull and gently tapping and tamping down to ensure all cranial pockets were full. To prevent spillage from the endocranial cavity, other foramina were sealed with flexible putty prior to filling. The beads were then transferred to a graduated cylinder to obtain the cranial volume (±0.1 ml accuracy). These measurements were corroborated by taking volume measurements of digital endocasts from CT scans of 10 sample skulls (5 gray fox, 5 island fox) using Avizo Lite 2019.2 (Thermo Fisher Scientific). Endocasts were segmented from CT scans, in which a surface area volume of the endocast was generated and the Avizo built-in statistical module was used to extract the surface area volume of the model in cubic centimeters. Digital endocranial volumes were all within ±0.96 cm3 of the bead-based volumetric measurements (S2 Table). Endocast models were then compared to examine any key structural differences in the brain between the gray and island fox.

Linear measurements were also taken to examine impacts of external cranial shape variation on any brain size differences. Eleven cranial measurements (Fig 2) were taken for each specimen using digital calipers (Mitutoyo, ± 0.01 mm Accuracy). These specific measurements are standard practice in cranial morphometry and were used as a proxy to the key areas of shape variation in vertebrates [34].

Fig 2. Schematic diagram of 11 linear measurements taken on skulls.

Fig 2

1: Total maximum skull length (TSL), 2: Zygomatic width (ZW), 3: Cranial vault width (CVW), 4: Cranial vault height (CVH), 5: Occipital condylar width (OCW), 6: Orbital diameter (OD), 7: Palatal length (PL), 8: Palatal width (PW), 9: Bicanine width (BCW), 10: Nasal width (NW), and 11: Nasal length (NL).

Body mass and relative brain size

Body masses (BM) of all specimens were estimated from a Carnivora-specific regression model utilizing measurements of the occipital condylar width (OCW), with the formula ln(BM)=8.5852*ln(OCW)2/3–10.2696 [35]. This method is particularly useful in contrast to other proxies that use limb bone dimensions to estimate body mass [36], as many museum skull specimens do not have associated post-crania. Calculated body masses for all specimens fell within their normal ranges as measured from live specimens—between ~1–3 kg for island foxes [37] and ~3.5–7 kg for gray foxes [16]. EQ for all specimens was calculated from measured ECV and calculated body mass using the formula EQ = ECV/0.12*BM2/3 [1]. For additional comparison, we also used a simpler percentage ratio of brain mass to body mass with the formula % = 100*ECV/BM. Standardizing with these equations accounts for the fact that the brain scales allometrically to body size and creates a normalized unit of comparison between differently sized species [1,38,39].

Statistical analyses

Statistical analyses were conducted primarily in RStudio 2023.06.0 [40] with additional use of PAST (Paleontological statistics software) [41] where indicated. First, we examined differences in allometric scaling of brain size to body mass and brain size to skull length within Urocyon and in contrast to expected values from other carnivorans using linear regression models. Measurements were natural log transformed prior to regression tests and modeling. We then used ANCOVA, including interaction terms, to test whether slopes and intercepts of these scaling relationships differed significantly between species.

Second, we examined EQ values for each species and subspecies. Data were assessed for normality using Shapiro-Wilk tests and for homoscedasticity using Levene’s test. Comparison groups that were not normally distributed were compared using Mann-Whitney tests of statistical significance. If test groups were normally distributed but did not have equal variance, a one-way ANOVA accounting for unequal variance was utilized to test for statistically significant differences among groups. Once significance was established, Dunnett’s T3 test was used post hoc for pairwise comparison of group means to an alpha level of 0.05, accounting for multiple comparisons. Results were visualized using box plots.

Finally, we performed principal component analysis (PCA) of linear measurements using PAST to further explore contributions of cranial shape variation to EQ values. Only adult specimens were used to mitigate potential impacts of ontogenetic shape differences. PCA using a variance-covariance matrix was conducted first on log-transformed raw linear measurements and then on log-transformed linear measurements normalized to a skull length of 1 to account for size variation among groups. Group differences were assessed using MANOVA on all principal components, followed by post-hoc Hotelling’s tests with Bonferroni correction to identify significantly different pairings. PCA plots were generated in RStudio. If outliers were identified visually, they were removed from the dataset and PAST analyses were re-run prior to final result reporting.

Results

Brain scaling within Urocyon

Between species, the island fox presented a higher relative brain size compared to the mainland gray fox (Mann-Whitney test p-value: 5.12e − 06; Fig 3). Log-transformed regression of brain versus body mass of island and gray fox specimens placed all individuals in this study above the expected brain volume of caniform carnivorans by mass [39], but to a greater extent in the island fox than the gray (Fig 4A). Log-transformed regression of brain volume versus skull length showed similar scaling between species (Fig 4B). Slopes and intercepts did not differ significantly between species for either model (Table 2). Intraspecific encephalization values and slopes were consistent with encephalization patterns found in other canid studies, wherein linear regression slopes flatten within species-specific models and begin to run parallel to other species slopes, in contrast to the steeper slope of the overall taxon model [24].

Fig 3. Relative brain size (EQ) between island and gray fox species.

Fig 3

Mann-Whitney test p-value shown in brackets. Mean EQ noted above each species and denoted on plot by dotted line. Median EQ values denoted by solid line.

Fig 4. Encephalization slopes of body mass versus brain mass (A) and skull length versus brain mass (B).

Fig 4

Sloped lines represent linear regression calculated for different groups: Urocyon (dashed black), island fox (solid purple), and gray fox (solid yellow). Dotted red line in A represents the expected brain volume of carnivora by mass (32). General equation, R2, and p-value indicated in top left corner.

Table 2. Slopes and intercepts for linear regression models.

Model value Island fox Gray fox Difference p-value
ln(BM)~ln(ECV) Slope 0.16 0.26 −0.10 0.06
ln(BM)~ln(ECV) Intercept 2.14 1.53 0.60 0.16
ln(TSL)~ln(ECV) Slope 1.39 1.16 0.23 0.16
ln(TSL)~ln(ECV) Intercept −3.04 −1.85 −1.20 0.13

When tested for statistical differences in EQ, TSL, BBMR, and BM, the four gray fox subspecies did not differ significantly from one another (S1 Fig) and were thus grouped together as “gray fox” for clarity of EQ comparisons to the island fox subspecies. Per island fox subspecies, five out of six demonstrated significantly higher EQ compared to the gray fox, with only San Nicolas presenting a lower EQ (Fig 5). Brain-body mass ratio comparisons showed very similar patterns to EQ, with the exception of San Nicolas still presenting low values but not differing significantly from the gray fox (S2 Fig). The majority of the other islands had similar EQ values, and only Santa Cruz foxes showed both significantly higher EQ and brain-body mass percentage than the gray fox and other island fox subspecies. Further separation by sex did not present statistically significant differences in EQ within respective groups (S3 Fig).

Fig 5. Relative brain size (EQ) of gray fox and island fox subspecies.

Fig 5

Values scale normalized to zero. Means not sharing any letter are significantly different by Dunnett’s T3 test at 5% level of significance.

PCA of linear skull measurements revealed that the gray fox and island fox clustered separately in analyses of both log-raw and log-normalized measurements (Fig 6). For log-raw PCA, PC1 and PC2 represented 87.78% of variance; for log-normalized PCA, PC1 and PC2 represented 69.40% of variance. PCA separating gray fox subspecies did not show significant differences between groups, and as above, were thus grouped together as “gray fox” for overall PCA comparisons. The island fox broadly clustered together, with some slight differences in clustering by subspecies (Fig 6A, C). Loadings for log-raw data showed differences were primarily driven by overall skull size along PC1 (Fig 6B), and loadings for log-normal data showed clustering driven mainly by snout size, particularly by nasal width (Fig 6D). MANOVA of all principal components using the gray fox species and island fox subspecies as coherent groups showed presence of significant differences between groups (log-raw data: Wilks’ lambda = 0.01342, Pillai trace = 2.362, p < 0.0001; log-norm data: Wilks’ lambda = 0.03066, Pillai trace = 2.188, p < 0.0001). Post-hoc Hotelling’s test of principal components for both datasets showed significant differences between almost all pairings, but the most significant differences were found between gray-island pairings (S3 Table). Though still significantly different, the most similar pairing in the log-raw dataset was Santa Rosa-San Miguel; from the log-normal dataset, Santa Cruz-Santa Rosa and Santa Cruz-Santa Catalina.

Fig 6. Principal Component Analysis of gray fox and island fox subspecies examining variations in shape and size driven by linear measurements.

Fig 6

Diagram of measurements shown in Fig 2. PCA and variable contribution of log10 raw linear measurements (contrib) is shown in A and B. PCA and variable contribution of log10 measurements scaled to the total skull length (TSL) is shown in C and D. Skull illustration in A and C represents island fox (purple) and gray fox (yellow). Specific measurements included in the eigenvector loadings are listed above.

Comparison of cerebral cortex regions and structures

When comparing the digital endocasts of the island and gray fox, the key difference we found was in the folding of the precruciate and postcruciate gyri, and the depth of the cruciate sulci (Fig 7). The island fox endocast exhibited slightly deeper cruciate sulci and larger gyri than the gray fox in this area (Fig 7E,J). The size and shape of the olfactory bulb appeared similar between the two species, although the island fox exhibited some reduced length in the prefrontal area.

Fig 7. Brain endocasts of the gray fox (U. c. californicus) specimen LACM 87421 (yellow, A-E) and the island fox (U. l. catalinae) LACM 75000 (purple, F-J).

Fig 7

Views from L-R: right lateral (A and F), posterior (B and G), ventral (C and H), and dorsal (D and I). Illustrated dorsal views (E and J) highlight key cerebral structures: postcruciate gyri (1), precruciate gyri (2), olfactory bulb (3), prefrontal area (4), and cruciate sulci (5).

Brain scaling among other insular dwarfs

EQ of the island fox was found to be 0.09 higher than the gray fox on average (Table 3). The greatest change was demonstrated on Santa Cruz Island, with an EQ increase of +0.22 compared to the mainland. This value is similar to the dwarf fossil canid Cynotherium, which differed from its mainland relative by +0.30. Changes for each island subspecies in comparison to other insular species EQ can be found in Table 3.

Table 3. Difference in encephalization quotient (EQ) between island species and their respective mainland relatives.

Higher taxon Island species Mainland relative EQ change BM change (kg)
Hominidae1 Homo floresiensis Homo erectus (early form) −0.47 −23.0
Bovidae2 Myotragus balearicus Gallogoral meneghinii †* −0.53 −91
Multituberculata1 Litovoi tholocephalos Ptilodus montanus −0.57 +0.1
Elephantidae3 Palaeoloxodon falconeri Palaeoloxodon antiquus +2.6 −7787
Hippopotamidae3 Hippopotamus lemerlei Hippopotamus amphibius +0.07 −1120
Canidae3 Cynotherium sardous Xenocyon lycaonoides +0.30 −18.0
Cervidae3 Candiacervus ropalophorus Dama dama +0.11 −13.7
Urocyon Urocyon littoralis (subspecies mean) Urocyon cinereoargenteus (species mean) +0.09 −1.65
U. l. littoralis +0.09 −1.59
U. l. santarosae +0.08 −1.61
U. l. santacruzae +0.22 −2.05
U. l. dickeyi −0.09 −1.34
U. l. catalinae +0.09 −1.39
U. l. clementae +0.16 −1.96

Values calculated from insular EQ studies (1Csiki-Sava et al., 2018; 2Köhler & Moyà-Solà, 2004; 3Lyras, 2019) and from group means in this study. Extinct species indicated by with a †. *Brain size data is unavailable for the closer relatives of Myotragus (the Miocene archaic goats Aragoral and Norbertia [42]), so Gallogoral meneghinii, its Pleistocene relative, is used here for comparison. As such, the reduction in encephalization may less dramatic when compared to Late Miocene taxa [43].

Discussion

Increasing brain size and complexity in Cenozoic mammals in general [1,38] and carnivorans in particular [44] compared to their ancestors has long been known. Long-term coevolution of predators and prey relationships was likely a major driver. Despite the apparent advantage of larger brain size for carnivorans, the brain as a tissue is energetically expensive [45] and increasing brain size therefore must be balanced with availability of resources. Island dwarfism, particularly for large vertebrates, is commonly interpreted as a result of resource limitations and/or reduced predatory pressure [46]. A relative reduction in brain size in island bovids helped to advance the notion that brain reduction can be an effective strategy in island forms [2]. As shown in Table 3, however, brain size increase or decrease in insular dwarfs is species specific. For small canids, the selective pressures driving small body size may also select for an increase in brain size, as seen in the island foxes.

Drivers of larger relative brain size

With the single exception of San Nicolas foxes (see discussion below), the general rule seems to be a modest increase of EQ in Channel Island foxes. There are advantages to maintaining or evolving larger relative brain size, despite it being energetically expensive. Higher EQ may contribute to greater spatial cognition and cognitive processing—larger-brained carnivoran species have been observed to be more successful at colonizing new environments, which may be driven by the fact that their relative brain size has also been found to be predictive of problem-solving success [47,48]. Further, some studies have suggested that a prolonged growth period in carnivorans may provide a mechanic under which a larger brain may develop, without risk of tissue starvation in the face of unpredictable resource access [49,50]. This may be applicable to our findings in Urocyon, as the island fox is more likely to reproduce in their second year [51] compared to the gray fox that typically reproduces within their first year [16], which may be indicative of a longer period of early development in the island fox. Encephalization in carnivorans has also been found to be negatively associated with geographic range [48], so the small range of the Channel Islands may be correlated with their moderately larger relative brain size. We may further infer that despite the general resource limitation that has caused the overall size reduction in all island foxes, the island sizes (Table 1) may not be small enough to cause a severe selection pressure to reduce EQ, with the single exception of San Nicolas Island. Of the two smallest islands, San Miguel has less area than San Nicolas, but San Miguel’s proximity and prior connection to the larger Santa Rosa Island may have provided a resource buffer not available to San Nicolas. The presence of a pygmy mammoth, Mammuthus exilis, on the northern Channel Islands [52] further suggests that total biological productivity is sufficient to support an herbivore hundreds of times larger than island foxes.

Locomotion and diet

Urocyon is also the only canid group that is known to exhibit arboreality [53], which is a cognitively complex trait involving spatial navigation of random and uneven three-dimensional space [54]. Along with the potential for high encephalization leading to successful colonization, the limited resources on the island may drive increased arboreality to obtain foods that are common in island fox diets, including fruits and birds [55]. While gray foxes retain this trait as well, the more abundant mainland food sources may not require such an increase in use as may be characteristic of the islands that possess trees. Only four of the six fox-inhabited islands have trees—complex woodlands found on Santa Rosa, Santa Cruz, Santa Catalina, and limited sparse groves found on San Clemente [56]. As such, the presence of these trees as a dietary resource may be a selective pressure behind the higher encephalization on these islands.

Retained tree-climbing ability and increased reliance on tree-based nutrients may also be associated with the increased complexity of frontal lobe folding that we found in the brain endocasts of the island fox relative to the gray fox; higher complexity in the cruciate sulci and gyri in other mammals has been suggested to be associated with an increased reaction speed and somatosensory processing [57]. The combined compression of the frontal area to increase the depth of the sulci and prominence of the gyri may be a result of the brachycephalic development and subsequent compensation in the island fox compared to the gray fox in order to retain complex motor cognition, one of the key functions of the general prefrontal and frontal regions in canids [58,59]. A similar pattern is exhibited in other canids such as the racoon dog Nyctereutes procyonoides, where a shortening of the muzzle was associated with an enlarged frontal lobe and broadening of the proreal gyri [60].

Competition

Competition may also be a driving factor for two of the islands, Santa Cruz and Santa Rosa, as they are the only locations with a competitor species, the island spotted skunk (Spilogale gracilis amphiala) [61]. The two species have likely coexisted on these islands for the majority of their shared history, with the skunks estimated to have arrived ~9000 years ago to the superisland of Santarosae [62]. Although exact spotted skunk population numbers on each island are not known, a study examining genetic diversity of the two populations indicated higher nucleotide diversity on Santa Cruz, which may indicate of higher effective population size [62]. As such, competition for similar dietary items such as insects and mice [63] and den habitats throughout island cohabitation may be a contributing factor for high encephalization of the island fox, particularly on Santa Cruz.

Limitations for San Nicolas foxes

Of the six island foxes, the San Nicolas fox is the only subspecies with a reduced EQ relative to its mainland relative, though it does not exhibit the greatest body size reduction [12]. The most straight-forward interpretation seems to be the small size of San Nicolas Island, which is one of the smallest Channel Islands (excluding tiny islands beside the big six). If there are low enough resources, the trade-off of allocating energy toward developing neural tissue and cognitive processing may become overwhelmingly negative and energy storage may be prioritized. This may be the case in the relative brain size on San Nicolas Island, which is the least resource-abundant of all six fox-inhabited islands [64]. The landscape lacks trees and is dominated by low shrubs [64], eliminating the need for complex spatial navigation required for climbing. San Nicolas is also the most geographically isolated, both from other islands and from the mainland (Fig 1, Table 1), and has the lowest within-population genetic diversity [11,6567]. The low relative brain size, as such, may stem from the need to allocate energy towards less energetically expensive survival traits.

Human assisted dispersal and cohabitation

There are many complexities involved in interpreting our findings in the six subspecies of island fox. In particular, we must consider the cohabitation and relationship between island foxes and humans. Domesticated carnivorans are known to have substantially smaller relative brain sizes than wild ancestral relatives [24]. While the island fox was not what we may think of as domesticated in the modern sense, it has become a prevalent hypodigm in recent years that the foxes were transported to the southern islands by indigenous peoples and lived alongside them in some capacity [11,20,21].

Our findings are relevant to the question of human cohabitation. The overall increased EQ among all subspecies except that from San Nicolas Island strongly hints that cohabitation with human was limited. Whatever the relationship, true domestication of island foxes (as in the mode of domestic dogs) was obviously not practiced by the indigenous people, despite the fact that domestic dogs apparently accompanied the initial peopling of the Americas [68], i.e., living with a top predator was by then widely accepted by humans. We may thus speculate that early dog domestication in the late Pleistocene was mostly for utilitarian reasons (such as hunting assistance and a source of food) rather than companionship, and as such, the island foxes may provide a counter example that small foxes, with apparently little survival utility for humans except as food, were not worth domesticating (sharing human resources with). Any utility of island foxes to humans may then parallel more similarly to benefits of early cat domestication rather than that of domestic dogs. With diets high in insects and deer mice [55], island foxes may have been transported by and lived in proximity to humans as a form of pest control. While not necessarily being fed directly by humans, they may have lived closely to gain access to their readily available natural prey species that may have been drawn to these human settlements, as is a prominent theory in early cat domestication [69]. Whatever the reason indigenous people chose to transport foxes from island to island, they probably did not develop close enough a relationship to cause island foxes to reduce their EQ.

However, our findings show disparity between the three islands in terms of relative brain size despite all likely having been transported by humans. This disparity might be explained by the larger size and topographic complexity of Santa Catalina and San Clemente—following initial transport, their original fox populations may have spent less time interacting with and relying on humans for resources than on San Nicolas.

Conclusions

This study in conjunction with other findings of increased EQ in island dwarfs provides evidence to support the removal of reduced relative brain size as a component of “Island Syndrome”. Our findings indicate that there is more nuance and complexity to body size scaling during island adaptation—the island fox is not simply a smaller version of the mainland gray fox. On average, the island fox presented with a moderately higher EQ than the gray fox and five out of six of the island fox subspecies demonstrate an increase in relative brain size, with only the most isolated and resource-poor island demonstrating relative brain size reduction. Our findings also show that despite being transported by humans and living alongside one another, island foxes do not demonstrate changes consistent with encephalization in domesticated animals and were likely not true domesticates.

Further, this study shows that there is a need for examination of both broader reaching and extant taxa in the study of island brain size, as many of the characteristics that may contribute to the island fox’s increased EQ pertain specifically to predator species (hunting, problem-solving, etc.) and not to the grazing herbivorous species that make up many island studies. The island fox is an apex predator on the islands, and though it benefits from the lack of threat of higher-level predators, retention of cognitive abilities is likely paramount to their ability to find prey and obtain food through hunting and scavenging, which may not be the case for species that rely on grazing or other less-cognitively complex means of obtaining nutrients. This higher EQ likely also provides an advantage in these areas over their competitor, the island spotted skunk, on Santa Cruz and Santa Rosa. Further investigation into brain size in other insular carnivores, as such, may provide even more insights into the variation in adaptive mechanisms that occur in these environments.

Overall, from these findings, we submit three key takeaways. First, island foxes were likely not “domesticated” by indigenous peoples, but rather may have been transported and lived in proximity as a means of pest control for human settlements on the islands. Second, reduced encephalization should not be considered a straightforward trait inherent to island adaptation due to nuances in the tradeoffs of energy usage involved in species’ resilience in insular environments. Third, despite being an energetically costly tissue, carnivoran brains play crucial roles in their daily functioning and as such, may be selectively advantageous to maintain at a greater relative size even as resources limit overall body size.

Supporting information

S1 Fig. Comparisons among gray fox subspecies in body mass (A), total skull length (B), scaled encephalization quotient (C), and scaled brain to body mass ratio (D).

Means in all plots share the same letter, indicating no significant difference by Tukey-test at 5% level of significance.

(TIF)

pone.0328893.s001.tif (385.4KB, tif)
S2 Fig. Relative brain size (BBMR) of gray fox and island fox subspecies.

Values scale normalized to zero. Means not sharing any letter are significantly different by Dunnett’s T3 test at 5% level of significance.

(TIF)

pone.0328893.s002.tif (263.3KB, tif)
S3 Fig. Relative brain size (EQ) between sexes within each geographic group.

EQ values scale normalized to zero. Within group p-values for Tukey statistical differences shown in brackets above each pairing.

(TIF)

pone.0328893.s003.tif (475.9KB, tif)
S1 Table. Full list of specimens used in this study with raw linear and volumetric measurements.

Source of specimen indicated under column “collection”: NHM (Natural History Museum of Los Angeles County) or SB (Santa Barbara Museum of Natural History). Linear measurements in millimeters, volumetric measurements in milliliters (cubic centimeters).

(XLSX)

pone.0328893.s004.xlsx (250.2KB, xlsx)
S2 Table. Comparison of manual and digital endocranial volumes.

Manual volumes were measured via bead displacement, digital volumes measured using endocast segmentation and surface volumes in Avizo.

(PDF)

pone.0328893.s005.pdf (14.3KB, pdf)
S3 Table. Bonferroni-adjusted p-values from post-hoc comparisons from PCA of gray fox and island fox subspecies.

Comparisons above dashed lines indicate results from PCA of log10 raw linear measurements, comparisons below dashed lines indicate results from PCA of log10 normalized measurements.

(PDF)

pone.0328893.s006.pdf (69.9KB, pdf)
S1 Appendix. R code used in this study.

(PDF)

pone.0328893.s007.pdf (428.8KB, pdf)

Acknowledgments

We thank our collaborators at the Natural History Museum of Los Angeles County (Shannen Robson and Kayce Bell) and at the Santa Barbara Natural History Museum (Jonathan Hoffman and Krista Fahy) for sharing collections and specimens; and the Edmands Lab (Alice Coleman, Jake Denova, Eliza Kirsch, Scott Applebaum) and Kimberly’s PhD committee members (Carly Kenkel, Melissa Guzman, Julia Schwartzman, Adam Huttenlocker, and Michael Campbell) for support and feedback.

Data Availability

All raw specimen data, associated R code, and supplementary figures are included in the manuscript and its Supporting information files. All 3D image files (CT scans and mesh PLYs) for brain endocasts are available from Morphosource at www.morphosource.org/projects/000739635 (Project ID: 000739635). Specific DOIs as follows: island fox endocast (https://doi.org/10.17602/M2/M740219), gray fox endocast (https://doi.org/10.17602/M2/M740195), island fox raw CT data (https://doi.org/10.17602/M2/M740169), gray fox raw CT data (https://doi.org/10.17602/M2/M740136).

Funding Statement

Funding for this project and Kimberly's PhD research was provided by Dornsife College of Letters, Arts and Sciences at the University of Southern California; the Wrigley Institute for Environmental Studies and Offield Family Foundation; and the USC Women in Science and Engineering Graduate Fellowship.

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Decision Letter 0

Carlo Meloro

PONE-D-25-13659Increased brain size of the dwarf Channel Island fox (Urocyon littoralis ) challenges “Island Syndrome” and suggests little evidence of domesticationPLOS ONE

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First clarify the taxonomic scale of study. If subspecies is available for grey fox this should be considered and implemented. Sexual dimorphism should also be tested more explicitly together with the implementation of stats tests for slope between grey and island fox. If available, report the area of each island and run a simple correlation test between average skull length and island area.Provide raw data as appendix or in a repository and implemented literature and other concepts as advised by reviewers.  

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Additional Editor Comments:

The paper reads well and it is nice however my main point of concern is your way of considering U. cinereoargenteus as a single species vs 6 subspecies. In theory, your paper will be much stronger if you could account for subspecies differences also within your grey fox sample. Also you should introduce sexual dimorphism earlier in the paper and test for it. One consequence of island syndrome might also be increase in sexual size dimorphism (see: Raia, P., Barbera, C., & Conte, M. (2003). The fast life of a dwarfed giant. Evolutionary Ecology, 17, 293-312). You have an excellent opportunity to test for it by using simple SSD ratios for each of your island subspecies. As an example see on how to compute this see: Cardini, A., & Elton, S. (2008). Variation in guenon skulls (II): sexual dimorphism. Journal of Human Evolution, 54(5), 638-647.

Below I provide more specific points of concerns for each section that I hope you can find useful to increase clarity in your paper. I think the paper include quite valuable data and information. If you could make raw data available [eg. measurements at least] that will also be good.

Introduction

Line 58-59: add scientific names since this is first time you mention these species

Line 66: perhaps refer to Figure 1 and add some arrows on the map showing the potential route of island colonisation with dates. Add in the map also a mini-map outlining the area within the broader context of North American continent

Mat & Method:

Line 92: since you refer to the island subspecies it is worth providing more details on your sample distribution for U. cinereoargenteus for which there have been recorded about 16 subspecies....did you use only skulls of one population or did you mix specimens from different locations / subspecies....in that case it might be important to outline this. You want to produce a fair comparison across subspecies (variation of subspecies of A vs variation of subspecies of B) otherwise the comparison will be unfair (A might vary more geographically making the false impression of bigger variation compared to subspecies of B).

Line 126: do you mean cranial morphometry? You do not present any geometric morphometric analysis that is also based upon anatomical landmarks but in geometric morphometrics the raw data are coordinates and NOT linear distances between landmarks.

Line 138: nice one....I wonder how does this compare to the Van Valkenburgh equations on Canidae only. It would make more sense to use Canidae specific equation for a more accurate body mass reconstruction

Results

Line 161: because you are talking about scaling I was expecting a test of slope differences and not a test of variance. It might be worth exploring the regression of Skull length (X) vs Brain Size between the two subspecies or different subspecies. This test will address the question: does grey fox and island fox brain size scale in the same way? Also I can see Sex in Figure S1 -this should be in the paper since it is your very first result- but Sex is not mentioned in the Introduction / Mat-Methods...if you got sexual dimorphism you should first test for differences in relative brain size between species and sex using a model "BrainSize~Species+Sex+Species*Sex"....if Species*Sex is significant you might need to do the analyses separated by sex (e.g. compare males with males only). IF you have sufficient subspecies sample size for U. cinereoargenteus than your unit of analysis [also for sex] should be "subspecies" and not species.

Line 162: why did you use Wilcoxon [generally it applies to dependent data that have a time structure [e.g. before and after]...you should use simple t-test or non-parametric Mann-Whitney if your groups are species.

Line 165: Report slopes and intercepts (and 95% CI if necessary) for your models in a table....slopes of the two Urocyon seem parallel to me but without any stats test we will never know that for sure...try and test for difference using ANCOVA and eventually check if slope differ between subspecies (if n within subspecies is big enough).

Line 177: delete "with"

Line 179-181: leave it out for the discussion

Line 191: you cannot talk of shape for plot 5B -it is mainly size, right?-. Different thing is plot 5C. A log transformation of the data might make the plot also a bit better. You can clearly see the issue of species (big yellow convex hull) vs subspecies (convex hulls there are much much smaller)

Line 192-197: you should test for differences using MANOVA/CVA...if test is significant then with post-hoc you can identify the pair of taxa that are more disparate between each other...based on the plot there seems to be no difference between subspecies of island fox so statistically it is more correct to not to consider the populations as separate analytical entities [if they do not differ and you have no subspecies of U.cinereoargenteus it is more correct to merge them into a single group...which is obviously not what you want to do!]

Line 225: if you manage to find subspecies for U. cinereoargenteus perhaps your differences might be even larger...at the moment the only true difference I feel to trust if the one between grey and island fox.

Discussion

Line 269: nice explanation perhaps it is worth talking also about the competitors...do they have many on the island or reduced competition (check for theoretical background: Raia, P., & Meiri, S. (2006). The island rule in large mammals: paleontology meets ecology. Evolution, 60(8), 1731-1742)? does diet change between gray and island fox? any refs on diet?

Line 290: you can check for this in your data testing the association between average skull size and island area for the six island subspecies (van der Geer, A. A., van den Bergh, G. D., Lyras, G. A., Prasetyo, U. W., Due, R. A., Setiyabudi, E., & Drinia, H. (2016). The effect of area and isolation on insular dwarf proboscideans. Journal of Biogeography, 43(8), 1656-1666)

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Reviewers' comments:

Reviewer's Responses to Questions

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: No

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: General remark:

One of the most significant aspects of this paper is the size of its sample. Most studies on the brain size of insular mammals rely on fossil specimens, often with very limited sample sizes (sometimes just a single specimen). In contrast, this paper examines 297 specimens, which is a considerable strength that could be emphasized more.

I also have one suggestion that the authors may find interesting. It is related to the brain anatomy.

The authors noticed that the island fox has a reduced length in the prefrontal area. I believe this is a consequence of its shorter rostrum. In general, canids that have relatively short faces have relatively high and massive frontal brain lobes. A somewhat similar case to Urocyon is the living raccoon dog Nyctereutes procyonoides. That species has a shorter muzzle than its Pliocene relatives. The muzzle shortening led to a shortening of the proreal gyrus length (Lyras 2009).

On Table 2, I have three minor comments:

1. Csiki-Sava et al. (2018) compare Homo floresienceis with an early form of Homo erectus ‘Homo erectus (early form)’. I suggest they add a similar parenthesis in their table, as brain sizes differ significantly between early and late forms of Homo erectus.

2. They list Gallogoral meneghinii as the ancestor of Myotragus balearicus. Actually that is not true, and neither the reference they cite (Köhler et al., 2004), says so. Gallogoral meneghinii is a Pleistocene relative of Myotragus. Myotragus is phylogenetically related to the Miocene archaic goats Aragoral and Norbertia (Rozzi, 2013). Unfortunately, their brain sizes are unknown. However, we do know that the brains Late Miocene bovids are in general smaller than those of modern bovids (Liakopoulou et al., 2024). That makes the reduction of brain size of Myotragus less dramatic than that reported by Köhler et al. (2004). To keep things simple, I suggest keeping Gallogoral meneghinii in the table but adding a footnote clarifying that it is a Pleistocene relative of Myotragus. Additionally, the footnote could mention that the reduction in encephalization appears less dramatic when compared to Late Miocene taxa (Liakopoulou et al., 2024).

3. They list Cervus elaphus as the ancestor of Candiacervus ropalophorus. It has been suggested that the fallow deer is the living relative of Candiacervus (van der Geer, 2018). I am sure that the replacement of Cervus elaphus with Dama dama will not significantly alter the values in the table.

Citations:

Csiki-Sava Z, Vremir M, Meng J, Brusatte SL, Norell MA. 2018. Dome-headed, small-brained island mammal from the Late Cretaceous of Romania. Proc Natl Acad Sci U S A. 115(19):4857–4862.

Köhler M, Moyà-Solà S. 2004. Reduction of brain and sense organs in the fossil insular bovid Myotragus. Brain Behav Evol. 63(3):125–140.

Liakopoulou D, Roussiakis S, Lyras G. 2024. The brain of Myotragus balearicus, an insular bovid from the Balearics. Hist. Biol. 1–8.

Lyras G.A. 2009. The evolution of the brain in Canidae (Mammalia: Carnivora). Scripta Geologica 139: 1-93.

Rozzi R. 2013. Palaeobiogeography and evolution of insular bovids: ecogeographic patterns of body mass variation and morphological changes. Unpublished Ph.D. Thesis. Sapinza Università di Roma, Dipartimento di Scienze sella Terra.

van der Geer A.A.E. 2018. Uniformity in variety: Antler morphology and evolution in a predator-free environment. Palaeontol Electron. 25.2.a23.

Reviewer #2: This is a thorough study addressing brain size and some external anatomical features of the brain of the Channel Island foxes of several islands respective to their mainland congener, the gray fox. It is an excellent study, well structured and easy to read. I have no suggestions for improvement, but have a very few remarks. First of all, I selected no for data availability, because this is not clear to me: are the CT-scans available for external brain morphology? Then, in the Introduction, line 51, what means 'simplified locomotion'? I'm not aware of such a feature in island endemic mammals, but my guess is that here reduced dispersal abilities are meant, such as loss of running in vertebrates, of flight in birds. In any case, 'simplified' needs to be explained here. Same with coloration, it's rather dull than simplified, and applies only (?) birds (mammals can e.g. develop spotted patterns, white-tipped tail etc., which is not 'simplified coloration'. Further, in line 60 no reference is given for the body size reduction in the island foxes (could be Lyras et al. 2010 JoB; but perhaps there is a more recent reference). Then, page 4 lines 82-83 the definition of endemic includes also mainlands, so the addition 'island' or 'insular' is needed here. There are many more living endemic canids, but if you excluse the mainlands, then the statement is almost true (there is also the Cozumel island fox). Discussion page 13 line 239 reduced predatory pressure does not apply mostly to small vertebrates; I'd argue the opposite. Elephants evolve dwarfism when no predators are around, and they are not small. Also, for rodents, predatory pressure is not lower on islands, but shifted to birds only (which can grow gigantic). Page 15 last paragraph, this link with increased arboreality is very interesting, and looks like a strong point. So I was wondering, how is the situation on San Nicolas? Page 16 line 316 I don't agree that the first domestic dogs in the late Pleistocene were mostly hunting assistants; archaeological evidence suggests rather that they were primarily food items (as with horses). Lastly, in the bibliography, a few titles are erroneously given in caps (e.g. 11, 27, 36

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PLoS One. 2025 Aug 20;20(8):e0328893. doi: 10.1371/journal.pone.0328893.r002

Author response to Decision Letter 1


11 May 2025

Dear Carlo Meloro and reviewers,

Thank you for your comments and advice on revisions for our research article, “Increased brain size of the dwarf Channel Island fox (Urocyon littoralis) challenges ‘Island Syndrome’ and suggests little evidence of domestication”. Our responses are shown below and match those found in the attached PDF response to reviewers letter.

Editor comments:

Intro notes:

1. “First clarify the taxonomic scale of study. If subspecies is available for grey fox this should be considered and implemented.”

a. We have updated the manuscript to explicitly state the taxonomic scale of the study, outlining the gray fox subspecies used and the geographic distribution of mainland specimens (Lines 80-90, 134-135, 144-154, 271-286, Fig 1A, Fig 6, S1 Fig).

2. “Sexual dimorphism should also be tested more explicitly together with the implementation of stats tests for slope between grey and island fox.”

a. Sexual dimorphism has been previously examined in the island and gray fox by multiple other studies and has now been outlined explicitly in this manuscript (Lines 71-73), with additional comments about the EQ sex differences from our findings (Lines 31, 261-262, S2 Fig).

3. “If available, report the area of each island and run a simple correlation test between average skull length and island area.”

a. The area of each island is noted in Table 1, and body size among islands has been added from prior studies (Lines 65-68), with little correlation between body size and land area in the island fox.

4. “Provide raw data as appendix or in a repository and implemented literature and other concepts as advised by reviewers.”

a. Raw data of endocasts has been added to a Morphosource repository.

Journal Requirements:

1. “Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming.”

a. Manuscript has been updated to match style and file naming requirements for PLOS One.

2. “In your manuscript, please provide additional information regarding the specimens used in your study. Ensure that you have reported human remain specimen numbers and complete repository information, including museum name and geographic location.”

a. Permits and specimen info have been added to comply with PLOS One requirements (Lines 130-132).

3. “We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript.”

a. No funding has been provided for this project specifically, comments regarding funding in the acknowledgements were regarding general funding and support for Kimberly’s PhD. Phrasing in Acknowledgments has been changed to refer to only the support provided (Lines 480-483), and funding statement declaration has been updated.

4. “We note that Figure 1 in your submission contain [map/satellite] images which may be copyrighted.”

a. Figure 1 has been modified to use public datasets for the main body which are cited explicitly in the figure caption, and copyright permission has been obtained from Cambridge University Press, with proof of permission uploaded along with this revised submission.

5. “Please review your reference list to ensure that it is complete and correct.”

a. Reference list has been updated to accommodate requested revisions, with some changes to the order of the original references as edits were made. The following references added:

i. Meiri S, Simberloff D, Dayan T. Insular carnivore biogeography: Island area and mammalian optimal body size. American Naturalist. 2005;165(4):505–14. doi: 10.1086/428297

ii. Schutz H, Polly PD, Krieger JD, Guralnick RP. Differential sexual dimorphism: size and shape in the cranium and pelvis of grey foxes (Urocyon). Biological Journal of the Linnean Society. 2009;96(2):339–53. doi: 10.1111/j.1095-8312.2008.01132.x

iii. Raia P, Barbera C, Conte M. The fast life of a dwarfed giant. Evol Ecol. 2003;17(3):293–312. doi: 10.1023/A:1025577414005

iv. Reding DM, Castañeda-Rico S, Shirazi S, Hofman CA, Cancellare IA, Lance SL, et al. Mitochondrial Genomes of the United States Distribution of Gray Fox (Urocyon cinereoargenteus) Reveal a Major Phylogeographic Break at the Great Plains Suture Zone. Front Ecol Evol. 2021;9. doi: 10.3389/fevo.2021.666800

v. Hofman CA, Rick TC, Hawkins MTR, Funk WC, Ralls K, Boser CL, et al. Mitochondrial Genomes Suggest Rapid Evolution of Dwarf California Channel Islands Foxes (Urocyon littoralis). PLoS One. 2015;10(2):e0118240. doi: 10.1371/journal.pone.0118240

vi. Gompper ME, Petrites AE, Lyman RL. Cozumel Island fox (Urocyon sp.) dwarfism and possible divergence history based on subfossil bones. J Zool. 2006;270(1):72–7. doi: 10.1111/j.1469-7998.2006.00119.x

vii. Collins PW. Origin and Differentiation of the Island Fox: A Study of Evolution in Insular Populations [Master of Arts]. Santa Barbara: University of California; 1982.

viii. Massicotte P, South A. rnaturalearth: World Map Data from Natural Earth. CRAN: Contributed Packages. 2017. doi: 10.32614/CRAN.package.rnaturalearth

ix. National Geodetic Survey. NOAA National Shoreline Data Explorer [Shapefile]. https://nsde.ngs.noaa.gov/. National Oceanic and Atmospheric Administration; [accessed 30 Apr 2025] Available from: https://nsde.ngs.noaa.gov/

x. McGee S. Continental Divide-Pacific/Atlantic [Shapefile]. ArcGIS Hub. U.S. Fish & Wildlife Service; 2023. [accessed 29 Apr 2025] Available from: https://hub.arcgis.com/datasets/fws::continental-divide-pacific-atlantic/about

xi. Rozzi R. Palaeobiogeography and evolution of insular bovids: ecogeographic patterns of body mass variation and morphological changes (Unpublished Ph.D Thesis). Sapinza Università di Roma; 2013.

xii. Liakopoulou D, Roussiakis S, Lyras G. The brain of Myotragus balearicus , an insular bovid from the Balearics. Hist Biol. 2024;1–8. doi: 10.1080/08912963.2024.2406962

xiii. Lyras G. The evolution of the brain in Canidae (Mammalia: Carnivora). Scr Geol. 2009;139.

xiv. Floyd CH, Van Vuren DH, Crooks KR, Jones KL, Garcelon DK, Belfiore NM, et al. Genetic differentiation of island spotted skunks, Spilogale gracilis amphiala. J Mammal. 2011;92(1):148–58. doi: 10.1644/09-MAMM-A-204.1

xv. Bolas EC, Quinn CB, Van Vuren DH, Lee A, Vanderzwan SL, Floyd CH, et al. Pattern and timing of mitochondrial divergence of island spotted skunks on the California Channel Islands. J Mammal. 2022;103(2):231–42. doi: 10.1093/jmammal/gyac008

xvi. Pasciullo Boychuck S, Brenner LJ, Gagorik CN, Schamel JT, Baker S, Tran E, et al. The gut microbiomes of Channel Island foxes and island spotted skunks exhibit fine‐scale differentiation across host species and island populations. Ecol Evol. 2024;14(2). doi: 10.1002/ece3.11017

Additional Editor Comments:

General:

1. “The paper reads well and it is nice however my main point of concern is your way of considering U. cinereoargenteus as a single species vs 6 subspecies. In theory, your paper will be much stronger if you could account for subspecies differences also within your grey fox sample. Also you should introduce sexual dimorphism earlier in the paper and test for it.”

a. As mentioned above, subspecies differences within the gray fox sample have been explicitly addressed and tested throughout the manuscript (see line numbers above). Sexual size dimorphism has also been addressed in the paper, including reference to the suggested Raia et al. (2003) paper (Lines 71-75). As SSD has already been largely previously examined in other papers, I refer to those studies and thus did not compute other SSD ratios explicitly with my dataset besides those regarding EQ (S2 Fig).

2. “I think the paper include quite valuable data and information. If you could make raw data available [eg. measurements at least] that will also be good.”

a. Raw data is available in the supplement as S1 Table containing all linear and volumetric measurements for specimens, with collection information and catalog numbers. I have updated the supplement title to explicitly state that it contains the measurement info along with the specimen list.

Line comments:

Introduction

1. “Line 58-59: add scientific names since this is first time you mention these species”

a. Agreed, corrected (Lines 62-64).

2. “Line 66: perhaps refer to Figure 1 and add some arrows on the map showing the potential route of island colonization with dates. Add in the map also a mini-map outlining the area within the broader context of North American continent”

a. Agreed, updated with above comments as well as including a map of the gray fox specimen areas in the context of North America (Fig 1).

Material and Methods

3. “Line 92: since you refer to the island subspecies it is worth providing more details on your sample distribution for U. cinereoargenteus for which there have been recorded about 16 subspecies....”

a. Details for gray fox specimens have been updated here and throughout the paper (see above comments).

4. “Line 126: do you mean cranial morphometry? You do not present any geometric morphometric analysis that is also based upon anatomical landmarks but in geometric morphometrics the raw data are coordinates and NOT linear distances between landmarks.”

a. Yes, corrected (Line 183).

5. “Line 138: nice one....I wonder how does this compare to the Van Valkenburgh equations on Canidae only. It would make more sense to use Canidae specific equation for a more accurate body mass reconstruction”

a. Equations from below reference (Van Valkenburgh, 1990) use four measurements (head-body length, skull length, occiput-orbit length, and lower first-molar length). The only measurement that we were able to test for comparison without collection additional measurements from all specimens was the skull length, which we tested with Van Valkenburgh’s equation to calculate body mass. This resulted in substantial overestimates of known fox body mass. Mean body mass for all islands using Van Valkenburgh equations was well above 3 kg, which is higher than known body mass ranges for island foxes (1.2-2.7 kg). To contrast, averages calculated using our original method of Engelman’s regression of the occipital condylar width (OCW) fell within the known range (Island means ranged between 1.98-2.64 kg). As such, we did not proceed with using the suggested equation.

i. Van Valkenburgh, B. 1990. Skeletal and dental predictors of body mass in carnivores. In: J. Damuth and B.J. MacFadden (eds.), Body Size in Mammalian Paleobiology, 1–11. Cambridge University Press, Cambridge.

Results

6. “Line 161: because you are talking about scaling I was expecting a test of slope differences and not a test of variance. It might be worth exploring the regression of Skull length (X) vs Brain Size between the two subspecies or different subspecies. This test will address the question: does grey fox and island fox brain size scale in the same way? Also I can see Sex in Figure S1 -this should be in the paper since it is your very first result- but Sex is not mentioned in the Introduction / Mat-Methods...if you got sexual dimorphism you should first test for differences in relative brain size between species and sex…”

a. Agreed, added info for testing slope differences in both the original plot (Body Mass vs Brain Size) and new additional plot (Skull Length vs Brain Size). Info can be found in Fig 4 and Table 2.

b. Figure S1 has been moved to the main manuscript as Fig 3. Sexual dimorphism has been addressed in the intro (Lines 71-73) and in S2 Fig.

7. “Line 162: why did you use Wilcoxon [generally it applies to dependent data that have a time structure [e.g. before and after]...you should use simple t-test or non-parametric Mann-Whitney if your groups are species.”

a. This has been corrected, using non-parametric Mann-Whitney (Line 230).

8. “Line 165: Report slopes and intercepts (and 95% CI if necessary) for your models in a table....slopes of the two Urocyon seem parallel to me but without any stats test we will never know that for sure...try and test for difference using ANCOVA and eventually check if slope differ between subspecies (if n within subspecies is big enough).”

a. Slopes and intercepts of each species with tests for significant differences have been added in Table 2.

9. “Line 177: delete "with"”

a. Agreed, deleted.

10. “Line 179-181: leave it out for the discussion”

a. Agreed, removed.

11. “Line 191: you cannot talk of shape for plot 5B -it is mainly size, right?-. Different thing is plot 5C. A log transformation of the data might make the plot also a bit better. You can clearly see the issue of species (big yellow convex hull) vs subspecies (convex hulls there are much much smaller)”

a. Agreed, results have been updated to clarify that differences in raw data are driven by size (Lines 281-286). PCA has been rerun with gray fox subspecies included (Fig 6).

12. “Line 192-197: you should test for differences using MANOVA/CVA...if test is significant then with post-hoc you can identify the pair of taxa that are more disparate between each other...based on the plot there seems to be no difference between subspecies of island fox so statistically it is more correct to not to consider the populations as separate analytical entities…”

a. Agreed, information about additional statistical tests has been added to the manuscript under the methods and results sections (Lines 220-225, 268-281).

13. “Line 225: if you manage to find subspecies for U. cinereoargenteus perhaps your differences might be even larger...at the moment the only true difference I feel to trust if the one between grey and island fox.”

a. Significance tests were run for species-species comparisons as well as subspecies-subspecies comparisons. Species showed substantial significant differences, which was consistent with the subspecies-subspecies pairings and noted in the results section (Lines 268-281).

Discussion

14. “Line 269: nice explanation perhaps it is worth talking also about the competitors...do they have many on the island or reduced competition (check for theoretical background: Raia, P., & Meiri, S. (2006). The island rule in large mammals: paleontology meets ecology. Evolution, 60(8), 1731-1742)? does diet change between gray and island fox? any refs on diet?”

a. Agreed, info about competitors (only one is known (island spotted skunk) and only on two of the islands) has been added into the discussion section (Lines 384-394).

15. “Line 290: you can check for this in your data testing the association between average skull size and island area for the six island subspecies (van der Geer, A. A., van den Bergh, G. D., Lyras, G. A., Prasetyo, U. W., Due, R. A., Setiyabudi, E., & Drinia, H. (2016). The effect of area and isolation on insular dwarf proboscideans. Journal of Biogeography, 43(8), 1656-1666)”

a. This info has been added in the introduction (Lines 65-68), citing other studies that already show lack of correlation between island fox subspecies body size and island area.

Reviewer comments:

Reviewer #1:

1. “One of the most significant aspects of this paper is the size of its sample. Most studies on the brain size of insular mammals rely on fossil specimens, often with very limited sample sizes (sometimes just a single specimen). In contrast, this paper examines 297 specimens, which is a considerable strength that could be emphasized more.”

a. Agreed, added to the materials section (Lines 137-139).

2. “The authors noticed that the island fox has a reduced length in the prefrontal area. I believe this is a consequence of its shorter rostrum. In general, canids that have relatively short faces have relatively high and massive frontal brain lobes. A somewhat similar case to Urocyon is the living raccoon dog Nyctereutes procyonoides. That species has a shorter muzzle than its Pliocene relatives. The muzzle shortening led to a shortening of the proreal gyrus length (Lyras 2009).”

a. Agreed, added to the discussion section (Lines 381-383).

3. “On Table 2, I have three minor comments: 1. Csiki-Sava et al. (2018) compare Homo floresienceis with an early form of Homo erectus ‘Homo erectus (early form)’. I suggest they add a similar parenthesis in their table, as brain sizes differ significantly between earl

Attachment

Submitted filename: Schoenberger et al_Island Fox_PLOS One_Response to Reviewers.pdf

pone.0328893.s011.pdf (239.5KB, pdf)

Decision Letter 1

Carlo Meloro

PONE-D-25-13659R1Increased brain size of the dwarf Channel Island fox (Urocyon littoralis ) challenges “Island Syndrome” and suggests little evidence of domesticationPLOS ONE

Dear Dr. Schoenberger,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Double check the use of ANOVA and MANOVA providing more appropriate results. Use covariance matrix for the PCA and make sure you exclude the juveniles from the sample.See the analytical report for advise on how to perform MANOVA and pairwise testing.  

Please submit your revised manuscript by Jul 19 2025 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org . When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

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We look forward to receiving your revised manuscript.

Kind regards,

Carlo Meloro

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments:

The paper is almost ready, I just found few minor issues that you can hopefully be implemented very quickly before official acceptance.

Line 193: "Carnivora" upper case

Line 210: It is ANCOVA and NOT ANOVA. Modify as: "We then used ANCOVA, including interaction terms, to test whether slopes and intercepts of these scaling relationships differed significantly between species".

Line 216: I do not think you used "Welch's ANOVA". This is used when variances are not equal, in that case the post doc should be Dunnett's T3.

For an example on how to report this correctly see Meloro (2011, JVP: https://doi.org/10.1080/02724634.2011.550357). You first do a one-way ANOVA followed by a LEvene's test (LEvene's will tell you if variance is homogenous -p > 0.05- or not). If Levene's is NOT significant, you can use Tukey post doc -that will satisfy the assumption of equal variances.

Line 223-224: it is ok to perform MANOVA only on PC1 and PC2 although you might try to cover at least 95% of total variance (e.g. first 5 PCs) and provide results as expressed by Wilk's lambda and Pillai Trace.

Your PCA was probably based on Correlation matrix...you should use Covariance matrix if your input variables are log transformed measurements. See the attach doc "Urocyon_tests". I selected only Adult specimens and provided some examples on analyses run using PAST and SPSS. It is fine to combine all U. cinereoargenteus subspecies but still you need to implement MANOVA more appropriately. ANOVA that follows MANOVA is not appropriate, so please use PAST or try to use simple script in R to run Hotelling's pairwise test after MANOVA. An example is below:

manova_model <- manova(cbind(PC1, PC2, PC3) ~ species

Assuming that your selected PCs are in PC_data

For pairwise comparisons use the library (pairwiseAdonis)

result <- pairwise.adonis(PC_data, factors = species, sim.method = "euclidean", p.adjust.m = "bonferroni")

Report pairwise differences after MANOVA not based on each single PC.

Please clarify if you removed the Juveniles from the sample, I think they should be removed.

Figure 4: It is not clear to what line the R2 and p value refers to. Report eventually the general equation and the R2 next to the general regression line it refers to or use a legend.

You can check the example below:

https://link.springer.com/article/10.1007/s10914-020-09513-w

Only the general equation and the R2 which will be relevant

Figure 5 A and B are identical...perhaps put one or the other in the Appendix

Figure 6: you got one outlier for Fig 6A and 6C. Check carefully, if you remove this individual and PC loadings change that must be removed from the analyses, if not you can keep it. Maybe this occurs when using correlation matrix. See the attached example using the covariance matrix.

I noted from your TAble that you also measured Juveniles...they should be excluded.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

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Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

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Reviewer #1: Yes

Reviewer #2: Yes

**********

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Reviewer #1: Yes

Reviewer #2: Yes

**********

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Reviewer #2: Yes

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Attachment

Submitted filename: Urocyon_Tests.pdf

pone.0328893.s012.pdf (283.3KB, pdf)
Attachment

Submitted filename: Urocyon.dat

pone.0328893.s013.dat (87.2KB, dat)
PLoS One. 2025 Aug 20;20(8):e0328893. doi: 10.1371/journal.pone.0328893.r004

Author response to Decision Letter 2


3 Jul 2025

Dear Carlo Meloro and reviewers,

Thank you again for your comments and advice on revisions for our research article, “Increased brain size of the dwarf Channel Island fox (Urocyon littoralis) challenges ‘Island Syndrome’ and suggests little evidence of domestication”. Our responses are

shown below and match those found in the attached PDF response to reviewers letter.

Note: line numbers below refer to corrections shown in the clean manuscript file. Content is the same in both the clean and markup files, but Microsoft Word has known inconsistencies in line numbering while using “track changes”, so there are some discrepancies in the line numbering between the files despite the writeups being identical.

Editor comments:

Thank you for providing examples of the plot types and calculations you were looking for in this revision. I would like to note that in the example you provided, it appears you also included the “ECV” in the calculations for the PCA and loading values. I have updated the statistical tests using PAST and your other recommendations, but please note that the values will be slightly different from the ones in your example as they do not include ECV due to it being a volumetric measure. They will also differ due to removal of an outlier and clustering of gray fox into one group.

Additionally, copyrighted content has been removed from Figure 1 and replaced with a map generated using only datasets compliant with CC BY 4.0 license. Figure caption has been updated (Lines 161-162).

Line comments:

1. Line 193: "Carnivora" upper case

a. Corrected.

2. Line 210: It is ANCOVA and NOT ANOVA. Modify as: "We then used ANCOVA, including interaction terms, to test whether slopes and intercepts of these scaling relationships differed significantly between species".

a. Corrected (Lines 212-213).

3. Line 216: I do not think you used "Welch's ANOVA". This is used when variances are not equal, in that case the post hoc should be Dunnett's T3.

a. Welch’s ANOVA was initially used due to unequal variance, but revisions have been made per suggestions. Statistical tests used Levene’s test to test for equal variance. Variance was not equal, so proceeded to use one-way ANOVA to assess for statistical differences among group means. Post hoc tests implemented Dunnett’s T3 as suggested. (Lines 214-221).

4. Line 223-224: it is ok to perform MANOVA only on PC1 and PC2 although you might try to cover at least 95% of total variance (e.g. first 5 PCs) and provide results as expressed by Wilk's lambda and Pillai Trace. Your PCA was probably based on Correlation matrix...you should use Covariance matrix if your input variables are log transformed measurements. See the attach doc "Urocyon_tests". I selected only Adult specimens and provided some examples on analyses run using PAST and SPSS. It is fine to combine all U. cinereoargenteus subspecies but still you need to implement MANOVA more appropriately. ANOVA that follows MANOVA is not appropriate, so please use PAST or try to use simple script in R to run Hotelling's pairwise test after MANOVA.

a. Thank you for providing an example of statistical tests! We ended up using PAST for the revised PCA using the variance-covariance matrix, clustering the gray fox as one group. Description of methods outlined in Lines 222-231, and results in Lines 273-289. Ease of use in PAST allowed us to use all principal components for MANOVA and post hoc tests. Statistical differences shown in newly added Table 3 in the manuscript (Line 299). PCA plots generated in R were updated to use the variance-covariance matrix and were checked against plots generated in PAST to ensure consistency. Use of R for plots was chosen to keep figure designs consistent throughout the paper. Figure 6 has been updated to reflect the above changes (Line 291).

5. Report pairwise differences after MANOVA not based on each single PC.

a. Addressed above, see new Table 3 (Line 299).

6. Please clarify if you removed the Juveniles from the sample, I think they should be removed.

a. Juveniles were not included in the sample, added note to state this explicitly (Lines 223-224).

7. Figure 4: It is not clear to what line the R2 and p value refers to. Report eventually the general equation and the R2 next to the general regression line it refers to or use a legend.

a. Agreed, Figure 4 has been updated to include a clearer legend and addition of general equations for each regression. Figure caption updates are on Lines 250-254.

8. Figure 5 A and B are identical...perhaps put one or the other in the Appendix

a. Figure 5A has been left in the main text (Lines 260-262, 269), 5B moved to the appendix S2 fig (Lines 262-264).

9. Figure 6: you got one outlier for Fig 6A and 6C… I noted from your table that you also measured Juveniles...they should be excluded.

a. Thank you, the outlier was identified and removed for PCA revisions and noted in the text (Lines 229-230). Juveniles were not included in the original PCA, but this has now been outlined explicitly in the text (Lines 223-224).

Additional changes to be noted:

1. Figures and supplement:

a. Figs 2-3, Fig 7, S1 Fig, S1 Table, and S2 Table are the same as previous submission with no changes.

b. Fig 1 has been updated to replace copyrighted content with CC BY compliant data.

c. Fig 4 has been updated to include general regression equation and added clarity.

d. Fig 5 has been updated to only include Fig 5A from previous submission, 5B moved to supplement.

e. Fig 6 has been updated with var-covar PCA plots and clustering gray fox subspecies into one group.

f. S1 Appendix has been updated to reflect new code.

g. S2 Fig is the new supplementary figure, previously Fig 5B.

h. S3 Fig is the previous S2 Fig.

2. DOIs have been generated for supplemental Morphosource files, which have now been included under the Data Availability Statement on Lines 499-501.

3. Two references were added for NOAA bathymetry data (Line 593) and PAST Software (Line 610):

a. NOAA National Centers for Environmental Information. ETOPO 2022 15 Arc-Second Global Relief Model. 2022. doi:10.25921/fd45-gt74

b. Hammer Ø, Harper DAT, Ryan PD. PAST: Paleontological statistics software package for education and data analysis. Palaeontologia Electronica; 2001.

Changes as noted above are reflected in the revised manuscript. Thank you again for your time and we look forward to hearing from you.

Sincerely,

Kimberly A. Schoenberger

PhD Candidate, University of Southern California

Graduate Student in Residence, Natural History Museum of Los Angeles County

kschoenb@usc.edu

Attachment

Submitted filename: Schoenberger et al_Response to Reviewers-2.1.docx

pone.0328893.s014.docx (24.2KB, docx)

Decision Letter 2

Carlo Meloro

Increased brain size of the dwarf Channel Island fox (Urocyon littoralis ) challenges “Island Syndrome” and suggests little evidence of domestication

PONE-D-25-13659R2

Dear Dr. Schoenberger,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice will be generated when your article is formally accepted. Please note, if your institution has a publishing partnership with PLOS and your article meets the relevant criteria, all or part of your publication costs will be covered. Please make sure your user information is up-to-date by logging into Editorial Manager at Editorial Manager®  and clicking the ‘Update My Information' link at the top of the page. If you have any questions relating to publication charges, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Carlo Meloro

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

You did a good job, I just spotted few things you can adjust during production process:

line 274: representing 87.78% of variance for log-raw measurements, and 69.40% of variance for log-normalized measurements - something not right here because if one PC is 87.78% the second one cannot be 69.40%. You should write PC1 explains 82% of variance and PC2 6%

line 286: "most substantial differences by tens of orders of magnitude greater were found between" remember the P values does not give you the idea of magnitude differences so remove this...you just got highly significant differences.....be aware that this using all variables...if you re-try using only the PCs that explain 95% of variance (e.g. the first five...) you will see few non-significant differences. That might be more worth reporting, this is because MANOVA sometimes overfit differences. Your smallest group should have at least double the number of your variables. In your case if you have 11 variables the smallest group should have at least 22 cases for solid interpretation of MANOVA.

From this perspective the table in the paper is probably not that important -everything is significant- and it can go in the Appendix if you want.

Line 499: "DOIs: 10.17602/M2/M740219 (island fox 500 endocast), 10.17602/M2/M740195 (gray fox endocast), 10.17602/M2/M740169 (island fox raw

501 CT data), 10.17602/M2/M740136 (gray fox raw CT data)". I think these are ID used by morphosource ...if you copy and paste in a browser it does not open your scan so just double check.

Reviewers' comments:

Acceptance letter

Carlo Meloro

PONE-D-25-13659R2

PLOS ONE

Dear Dr. Schoenberger,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

You will receive further instructions from the production team, including instructions on how to review your proof when it is ready. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few days to review your paper and let you know the next and final steps.

Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

If we can help with anything else, please email us at customercare@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Carlo Meloro

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Comparisons among gray fox subspecies in body mass (A), total skull length (B), scaled encephalization quotient (C), and scaled brain to body mass ratio (D).

    Means in all plots share the same letter, indicating no significant difference by Tukey-test at 5% level of significance.

    (TIF)

    pone.0328893.s001.tif (385.4KB, tif)
    S2 Fig. Relative brain size (BBMR) of gray fox and island fox subspecies.

    Values scale normalized to zero. Means not sharing any letter are significantly different by Dunnett’s T3 test at 5% level of significance.

    (TIF)

    pone.0328893.s002.tif (263.3KB, tif)
    S3 Fig. Relative brain size (EQ) between sexes within each geographic group.

    EQ values scale normalized to zero. Within group p-values for Tukey statistical differences shown in brackets above each pairing.

    (TIF)

    pone.0328893.s003.tif (475.9KB, tif)
    S1 Table. Full list of specimens used in this study with raw linear and volumetric measurements.

    Source of specimen indicated under column “collection”: NHM (Natural History Museum of Los Angeles County) or SB (Santa Barbara Museum of Natural History). Linear measurements in millimeters, volumetric measurements in milliliters (cubic centimeters).

    (XLSX)

    pone.0328893.s004.xlsx (250.2KB, xlsx)
    S2 Table. Comparison of manual and digital endocranial volumes.

    Manual volumes were measured via bead displacement, digital volumes measured using endocast segmentation and surface volumes in Avizo.

    (PDF)

    pone.0328893.s005.pdf (14.3KB, pdf)
    S3 Table. Bonferroni-adjusted p-values from post-hoc comparisons from PCA of gray fox and island fox subspecies.

    Comparisons above dashed lines indicate results from PCA of log10 raw linear measurements, comparisons below dashed lines indicate results from PCA of log10 normalized measurements.

    (PDF)

    pone.0328893.s006.pdf (69.9KB, pdf)
    S1 Appendix. R code used in this study.

    (PDF)

    pone.0328893.s007.pdf (428.8KB, pdf)
    Attachment

    Submitted filename: Schoenberger et al_Island Fox_PLOS One_Response to Reviewers.pdf

    pone.0328893.s011.pdf (239.5KB, pdf)
    Attachment

    Submitted filename: Urocyon_Tests.pdf

    pone.0328893.s012.pdf (283.3KB, pdf)
    Attachment

    Submitted filename: Urocyon.dat

    pone.0328893.s013.dat (87.2KB, dat)
    Attachment

    Submitted filename: Schoenberger et al_Response to Reviewers-2.1.docx

    pone.0328893.s014.docx (24.2KB, docx)

    Data Availability Statement

    All raw specimen data, associated R code, and supplementary figures are included in the manuscript and its Supporting information files. All 3D image files (CT scans and mesh PLYs) for brain endocasts are available from Morphosource at www.morphosource.org/projects/000739635 (Project ID: 000739635). Specific DOIs as follows: island fox endocast (https://doi.org/10.17602/M2/M740219), gray fox endocast (https://doi.org/10.17602/M2/M740195), island fox raw CT data (https://doi.org/10.17602/M2/M740169), gray fox raw CT data (https://doi.org/10.17602/M2/M740136).


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