Open Access
How to translate text using browser tools
1 March 2011 Morphological Disparity in Plio-Pleistocene Large Carnivore Guilds from Italian Peninsula
Carlo Meloro
Author Affiliations +
Abstract

Communities of large mammals exhibit changes in morphological diversity through space and time; changes that are possibly correlated to distinct aspects of the physical environment. Here, I explore shape changes in the trophic apparatus of large carnivore guilds, comparing extant communities with Quaternary ones, from peninsular Italy. Mandibular shape is quantified through geometric morphometrics and its disparity is computed for each carnivore guild. Patterns of morphospace occupation through space and time reveal that extant carnivore guilds are negatively influenced by number of artiodactyls. Very productive ecosystems show low values of morphological disparity because species tend to occupy central regions of the morphospace rather than extreme areas. Disparity of mandibular corpus shape remains relatively stable throughout the Quaternary in the large carnivore communities of the Italian peninsula. They exhibit similar values to extant guilds because the trophic apparatus did not evolved important morphological novelties. Interestingly, carnivore guilds of the late Pliocene (3.5 Ma) and early Pleistocene (0.8 Ma) show over-dispersed or random morphospace occupation because of a depleted fauna, precluding successive structural changes. The same applies for the extant European carnivore guild as a result of recent extinctions without replacement.

Introduction

The structure of morphological variability in organisms through space and time has received particular attention especially in the light of its potential relationship with taxonomic diversity (Foote 1997). Large carnivorous mammals have been intensively studied in this respect because of the great morphological and ecological variability exhibited by extant, and even more by extinct, species (Nowak 1991; Van Valkenburgh 1989, 1999, 2007). In this group, the trophic apparatus (as defined by cranio-dental features) has been investigated and it is clear that this system combines traits that evolved early in the history of the order, remaining relatively unchanged through time (Van Valkenburgh 1988, 1995, 1999, 2007; Werdelin 1996; Holliday and Steppan 2004; Wesley-Hunt 2005). Such generalization is probably applicable to different contexts other than the American fossil record and the entirely of the Cenozoic, from which most of the hypotheses have been tested, but no comparative approaches have been performed for a shorter geological period or a different geographical area so far.

Van Valkenburgh (1988) computed a large carnivore guild comparison between several extant representative ecosystems and few extinct assemblages spanning 30 million years. But, in the history of carnivores and mammalian communities in general, there are interesting taxonomic changes which occurred in relation to more severe geological changes over shorter time periods. The Plio-Pleistocene can certainly be considered such a period. Evidence points to strong climate changes occurring worldwide (Zachos et al. 2001) and the mammalian fauna seems to have been influenced by such changes (Kurtén 1968; Augustě and Anton 2002; Lister 2004; Barnosky et al. 2004; Barnosky 2005; Barnosky and Kraatz 2007). An important experiment occurred in the last part of the Plio-Pleistocene: modern humans invaded the mammalian community causing dramatic changes in faunal composition (Alroy 2001; Cardillo and Lister 2002; Wroe et al. 2005; Koch and Barnosky 2006). Large carnivores were possibly affected by these processes. Some remarkable Ice Age predators disappeared completely (e.g., saber-tooth cats) without leaving any descendent or similar eco-morphological type of species. This fact may be related to the disappearance of large ungulates (Turner and Anton 1997) but it is not clear how such a phenomenon affected the extinction of certain large carnivores and the survival of others. Further investigations are needed in order to understand the effect of climate change on morphological and taxonomic diversity of large carnivores.

The European fossil record is of particular interest for the Plio-Pleistocene because there is a very good mammalian bio-chronology (Azzaroli 1983; Azzaroli et al. 1988; Raia et al. 2009) and also because some large carnivores defined particular faunal “events” which represent significant changes in faunal composition. Among the others, the Wolf event (ca. 2.0 Ma) is considered a period of important changes determined by a striking change in climate accompanied by the dispersal all over Eurasia of large canids that are considered to have been more adapted to open environments (Azzaroli 1983; Rook and Torre 1996). Because of this apparently intimate link between carnivore faunal composition and climate changes we expect possible trends to have emerged in the evolution of taxonomic and morphological diversity of large carnivores during the Plio-Pleistocene.

A significant effect of climate was already determined on the entire large mammal community from Italy because of the strong influence on the turnover rates of species: that is a taxonomic evolutionary process (Raia et al. 2005). Based on the same fossil record, Meloro et al. (2008a) found a non-significant change of species diversity toward the Plio-Pleistocene. The number of species of all groups of large mammals (including carnivores) in each period is more affected by sample bias other than environmental changes. It is worth noting that the Italian peninsula represents a special biogeographic case as compared with other European Plio-Pleistocene regions. The rate of large mammal endemism is particularly low (excluding islands, Kotsakis et al. 2002) and for several carnivores Italy was probably an Ice Age refugium (e.g., Panthera gombaszoegensis, O'Regan et al. 2002). The role of humans is also enigmatic in Italy because, recently, there is evidence of early occupation since Pirro Faunal Unit (1.5–1.1 Ma) (Arzarello et al. 2007), even if the evident impact of Homo on the local fauna is recorded only at Isernia, dated at 600/500 ka (Anconetani and Peretto 1996; Coltorti et al. 2005).

Application of geometric morphometrics to the Italian large carnivore fauna represents an opportunity to explore the evolution of morphological variability through the Plio-Pleistocene. It is also possible to illuminate mechanisms that drove compositional changes of guilds by comparing PlioPleistocene with extant carnivore guilds (cf. Van Valkenburgh 1988). The metric of comparison is, here, represented by morphological disparity (Foote 1992). Such a metric is ideal to quantify morphological variability with a multivariate dataset. Usually, disparity is applied to principal components scores with several formulae (Ciampaglio et al. 2001) that allow computing the amount of morphospace occupied by the sample of interest in a broad context. Previous studies focused on understanding morphospace occupation of distinct clades at large time scale (Foote 1992, 1993, 1997; Wills et al. 1994; Holliday and Steppan 2004; Wesley-Hunt 2005). Van Valkenburgh (1988, 1989) already performed several analyses to explore morphospace occupation of large carnivore guilds through space and time, finding few significant differences at large scale. This study has the same spirit as Van Valkenburgh's surveys (1988, 1989) but I will look at lower jaw shape variability through geometric morphometrics and the Procustes Distances (PD) will be the metric used to compute disparity (Zelditch et al. 2003, 2004). This approach permits the obtaining of conservative estimates of the shape disparity in order to compare guilds through space and time.

Institutional abbreviations.—BMNH, The Natural History Museum (formerly British Museum of Natural History) London, UK; HM, Huntherian Museum and Art Gallery, University of Glasgow, Glasgow, Scotland, UK; IGF, Museo di Geologia e Paleontologia dell' Università di Firenze, Firenze, Italy; IGME, Istituto Geológico y Minero de España, Museo Geominero, Madrid, Spain; MCZR, Museo Civico di Zoologia, Roma, Italy; MGPD, Museo di Paleontologia Università di Padova, Padova, Italy; MNCN, Museo Nacional de Ciencias Naturales, Madrid, Spain; MNHN, Muséum National d'Histoire Naturelle, Paris, France; MNPE, Museo Nazionale Preistorico Etnografico “Luigi Pigorini”, Roma, Italy; MZLS, Museo Zoologico “La Specola”, Firenze, Italy; NMB, Naturhistorisches Museum Basel, Switzerland; ZSM, Zoologische Staatssammlung München, Munich, Germany.

Other abbreviations.—GPA; Generalised Procustes Analysis; MD, Morphological Disparity; PCOM, Paleo-Communities; RW, Relative Warps.

Material and methods

Sample size.—A subset of 57 large mammals of the order Carnivora was considered in order to explore morphological variability of the mandible through space and time. Each species is represented by one adult specimen, either modern, collected from the wild, or fossil (Appendix 1). In this way, both extant and extinct species exhibit similar random bias due to sampling. Indeed, fossil mandibles are unsexed and in this study intraspecific morphological variability is assumed to be negligible (cf. Van Valkenburgh 1985, 1988, 1989; Raia 2004; Christiansen and Adolfssen 2005; Evans et al. 2007; Polly and MacLeod 2008). Thirty-four species of extant carnivores were chosen according to the taxonomic list (source: Biological Inventory 2004,  http://www.ice.ucdavis.edu/bioinventory/bioinventory.html) of the most representative large carnivore guilds in the world (for Europe, Czech Republic, Krokonose; USA, Yellowstone; Indonesia, Gunung Lensung; Africa, Kruger National Park; and Peru, Otishi National Park). Large carnivores are defined as species whose mean body mass is larger than 7 kilograms (Van Valkenburgh 1988). Amphibious and aquatic carnivores were excluded from the analysis because they rarely compete directly with large terrestrial taxa (Van Valkenburgh 1985, 1988). For the Plio-Pleistocene guilds, a total of 23 species of large carnivores were chosen as representatives of nine Italian Paleo-Communities (PCOMs): Triversa, 3.2 Ma; Montopoli, 2.6 Ma; Up Valdarno, 1.9 Ma; ValdiChiana, 1.5 Ma; Pirro, 1.1 Ma; Galerian 1, 0.8 Ma; Galerian 2, 0.6 Ma; Galerian 3, 0.45 Ma; and Aurelian, 0.3 Ma (as in Raia et al. 2005, 2006; Meloro et al. 2007, 2008a).

Each species is represented in the overall sample by one mandible even if it belongs to several guilds. For the extant guilds the puma (Puma concolor) is represented in two areas (USA and Peru), as is the grey wolf (Canis lupus) and the brown bear (Ursus arctos) (USA and Europe). A pilot survey performed with the sample of both North American and South American specimens of puma together with North American and European specimens of wolf showed that a high degree of overlap among specimens did not affect the accuracy of analyses performed by using one specimen/species. For Plio-Pleistocene guilds, multiple appearances are much more common (e.g., Acinonyx pardinensis is present continuously from PCOMs Triversa to Pirro). Unfortunately, it was not possible to collect sufficiently complete specimens for the same species in each PCOM. Fossil lower jaws of large carnivores are usually rare, especially for Villafranchian forms.

When available, Italian fossil specimens were considered as representatives of Plio-Pleistocene species. For Pleistocene species, I chose fossil specimens, even if the species could be present in the extant ecosystem, because their morphology could have been substantially different. In a few cases, fossil species were replaced by other similar morphotypes. It was not possible to include Homotherium latidens and Megantereon whiter, they were substituted by their ancestors (H. crenatidens and M. cultridens), for which mandibles were available. There are no significant fossils of Chasmaporthetes lunensis; the lower jaw was substituted by an incomplete mandible of Chasmaporthetes kani. The little Pleistocene wolf of the Galerian fauna (Canis aff. arnensis) is represented by a specimen from the Valdarno basin because of the lack of mandibles complete enough for the analysis. Aurelian canids are, here, represented only by Canis sp. from Grotta Romanelli. This specimen probably belongs to the grey wolf or to an advanced form of C. arnensis. Although it is plausible that both C. aff. arnensis and C. lupus were simultaneously present during the Aurelian in Italy, the fossil record is scanty for such forms and more robust taxonomic revision is needed.

Geometric morphometrics.—Mandibles were photographed in lateral view at two metres using a Nikon 995 digital camera. This procedure standardises the sample of digital images and minimises parallax (Raia 2004; Meloro et al. 2008b). Nine landmarks were digitised with the software tpsDig 2 (Rohlf 2006a) to describe the mandibular corpus shape (Fig. 1). This region allows the inclusion of fragmentary fossil specimens; as well, previous studies have demonstrated that it is informative to the study of trophic morphology in Carnivora (Crusafont-Pairó and Truyols-Santoja 1956, 1957, 1958; Van Valkenburgh 1988, 1989; Meloro et al. 2008b).

Fig. 1.

Landmark configuration on a mandible of Canis lupus, BMNH 34.6.28.47.

f01_33.eps

Meloro et al. (2008b) applied a landmark configuration that describes the relative position of p4 and m1 in the mandible of Carnivora. Here, I chose a different configuration which is more informative because includes the entire premolar row and the relative position of slicing versus crushing area. Landmarks 1, 2, 3, 4 and 6 were recorded at the tip of the teeth alveoli. In particular, 1–2 records the length of the canine, 3–4 the premolar row, and 4 and 6 the molar row (Fig. 1). Landmark 5 is functionally defined as the slicing portion of the lower carnassial in lateral view (Crusafont-Pairó and Truyols-Santoja 1956, 1957, 1958; Van Valkenburgh 1988, 1989). It is recorded on the tooth edge and positioned as the projection of the protocone cusp on the ml baseline (Fig. 1). In some cases, when there is no crushing area in the molar row, it overlaps with landmark number 6. Landmarks 7 to 9 are the projections on the ventral edge of the corpus of landmarks 6, 4, and 2 perpendicular to the curve joining the line 1–6. Distances 2–9, 4–8, and 6–7 record the thickness of the mandibular corpus under the canine and the mesial and distal ends of the molar row, respectively (Fig. 1).

A Generalised Procustes Analysis (GPA) was performed on 2-dimensional landmark coordinates in order to translate, rotate and scale at unit centroid size (i.e., the square root of the mean squared distance from each landmark to the centroid of each configuration, Bookstein 1989) the landmark configurations (Rohlf and Slice 1990; Adams et al. 2004).

GPA generates a new set of coordinates (Procustes) that represent shape variables. The latter can also be decomposed into affine (Uniform) and non-affine components (Partial Warps), which are eigenvectors of the bending energy matrix (Bookstein 1996; Zelditch et al. 2004).

A Principal Component Analysis of the Partial Warps and Uniform components allows obtaining vectors of maximum variation (Relative Warps or RW) that describe major shape changes of each specimen relative to the mean (consensus) configuration. Shape changes along RW axes are graphically described by Thin Plate Spline deformations (Bookstein 1996). The software tpsRelw vs. 1.44 (Rohlf 2006b) was used to compute PCA and deformation grids.

Morphospace disparity.—Morphospace comparison for each guild (extant and extinct) was assessed by computing Morphological Disparity (MD) (Foote 1992, 1993). Disparity is a measure of morphological variability. The formula of Foote (1993) for morphological disparity is:

e01_33.gif
where di represents the distance of the ithspecimen to the group centroid while N is the number of specimens in the group considered. In the geometric morphometric case di is the Procustes distance between the average shape of each group i and the grand mean shape, N is the number of groups (Zelditch et al. 2003, 2004). For this study, MD was computed after applying a bootstrap procedure (999 random models) to obtain 95% confidence intervals around the original values. This procedure allows taking into account the uncertainty in the computation of the mean shape in the hyperspherical morphospace (Zelditch et al. 2003, 2004).

Groups are defined in order to compare extant and PlioPleistocene carnivores. Disparity values were computed for extant (34 species) and fossil specimens (23 species), separately. For a detailed analysis, groups are defined as each separate guild (in space and time). Fourteen guilds (9 for PlioPleistocene PCOMs and 5 for extant ecosystems) are considered. Patterns of potential relationship between disparity values and other variables were explored by using a linear correlation coefficient. The number of carnivores composing each guild (sample size bias) and the number of prey species (= number of total herbivores, number of perissodactyls or number of artiodactyls, α diversity in Meloro et al. 2008a) were considered as potential mechanisms which affect disparity variability through space and time. Absolute values for such variables were all log transformed (Foote 1992).

A nearest-neighbour analysis was performed on each defined group in order to test hypotheses about clustering or over-dispersion of species lower jaw shape distribution in the morphospace (Zelditch et al. 2004). The morphospace occupied by each group is compared to all the possible morphospaces generated under a Monte Carlo bootstrap random simulation. The random sample (999 datasets) simulates data based on the observed sample that are assumed to follow a Uniform null model. The Uniform model considers equal the probability of being in any location of the morphospace and it is ideal for comparison among species (Zelditch et al. 2004). The Pi metric given by Foote (1990) was used to perform such comparisons between each group morphospace and the simulated random models. This is Foote's formula:

e02_33.gif
where Di is the nearest-neighbor distance for each i of the N sample and Ri is the distance between an observed specimen and the nearest Monte Carlo simulated specimen. As the result of a difference between the observed and the random expected model, if Pi mean is equal to zero then non-significant difference occurs between the observed and the expected morphospace. If Pi is a negative value, the observed morphospace is clustered, while if it is positive the morphospace is over-dispersed. A range of 95% confidence intervals was computed around Pi by Monte Carlo simulation of the dataset many times (Zelditch et al. 2004). A Strauss and Sadler correction was applied in order to take into account the non-normality of morphospace distribution when sample size is small (Zelditch et al. 2004). “True” minimum and maximum values of the nearest-neighbour normal distribution are computed. All the analyses were performed with and without such correction, in order to make apparent any discrepancies (Zelditch et al. 2004). All the statistical analyses on disparity were computed with the IMP package Disparity box.

Results

Fourteen shape variables were extracted after GPA and then reduced with a RW analysis. The first four RWs explain more than 95% of the shape variability, with RW1 and 2 being the most informative (45.72% and 38.52% of the variance, respectively). On the other hand, RW3 and 4 explain less than 15% of the variance (9.38% and 2.02%, respectively).

The first three RW axes discriminate specimens on the basis of their familial affiliation (Fig. 2). RW1 describes shape changes in molar crushing area relative to slicing. On the second RW, shape changes occur in the relative corpus thickness as well as diastema and premolar length proportion. Some overlap occurs between Felidae and Hyaenidae because of their short or non-existent molar crushing area. All the caniforms (Canidae, Ursidae, and Mustelidae) have the positive scores for RW1 and negative scores for RW2 except Mellivora capensis, which is an outlier among the mustelids and cluster with feliforms (see white dot among triangles, Fig. 2). Interestingly, large viverrids from Africa occupy same region as small caniforms suggesting convergence in mandibular corpus shape. The third RW is associated with changes of canine-premolar row (length of the diastema) and its combination with the first and the second RWs underline the differences between Ursidae and remaining carnivores (Fig. 2).

A graphic display of morphospace regions occupied by each guild on RW1-2 is particularly informative for both extant and extinct ecosystems (Figs. 3, 4). All extant carnivore guilds tend to occupy the same morphospace regions except the Kruger guild, where no bear morphotype is present (no specimens occupy the I quadrant). But the Kruger guild shows a greater number of other caniforms and feliforms. Plio-Pleistocene guilds overlap with each other and similar patterns of morphospace occupation emerge graphically (Fig. 4).

Fig. 2.

Plot of the first three RWs in a subset of 57 mandibular corpus data of large carnivores.

f02_33.eps

Fig. 3.

Scatter plots of RW1 (X axis, scale -0.40 / +0.40) versus RW2 (Y axis, scale -0.40 / +0.40). Each extant large carnivore guild is highlighted by closed circles. The Kruger, Africa guild represents Africa, Krokonose is for Czech Republic, Gunung Lensung, Indonesia Lensung for Indonesia, Otishi for South America and Yellowstone for North America.

f03_33.eps

The degree of overlap between extant and extinct PlioPleistocene large carnivore guilds is more evident considering disparity values. The value computed for the morphospace defined by all extinct Plio-Pleistocene carnivores is slightly higher than that defined for extant large carnivores, but this difference is not significant because of large 95% confidence intervals (Fig. 5).

When disparity values are computed for each large carnivore guild, the overlap in morphospace variability still applies (Fig. 5). No significant differences occur between extant guilds; hence biogeographic phenomena seem not to have affected morphological variability (at least in corpus shape) of large carnivorous mammals. Disparity throughout the Plio-Pleistocene slightly increases after PCOM Triversa (3.5 Ma) and a very high peak is exhibited by the carnivore guild of 0.8 Ma (Galerian 1). Then disparity drops (Galerian 2) and increases again (Galerian 3). All the values are very similar to the one of extant guilds and no significant differences occur.

Morphological Disparity values are probably not influenced by sample size or number of prey in each guild (p > 0.10). This lack of correlation appears also when analysing extant (N = 5) and fossil (N = 9) guilds separately. A different signal occurs when considering number of artiodactyls. A scatter plot suggests a negative trend that is significant when all guilds are considered together (N = 14; r = -0.546; p = 0.043, Fig. 6) or in extant guilds (N = 5, r = -0.94, p = 0.0023), while fossil ecosystems exhibit no trend when analysed separately (N = 9, r = -0.04, p = 0.90).

The comparison between observed morphospace variability and that expected from the Monte Carlo bootstrapped uniform model allows understanding whether carnivore guilds were saturated by morphotypes (Table 1). All the carnivore guilds tend to be clustered (negative Pi values), even if Krokonose (European carnivores) and Galerian 1 are over-dispersed. Triversa has a morphospace distribution that is not different from random expectation. Such results demonstrate that most large carnivore guilds can be considered saturated by morphotypes: they occupy less morphospace than expected by chance. It is worth noting that these results were extracted by using a Strauss and Sadler range, and they are validated when this correction is not applied. Only in the case of over-dispersed guilds are there different results that suggest a morphospace distribution similar to the expected random model (for Krokonose Pmean = 0.1675 with range -0.0330 to 0.4376; and for Galerian 1 Pmean = 0.0830 with range -0.0540 to 0.2254).

Fig. 4.

Scatter plots of RW1 (X axis, scale -0.40 / +0.40) versus RW2 (Y axis, scale -0.40 / +0.40). Each Plio-Pleistocene carnivore guild is highlighted by closed circles. Guild are representative of distinct Paleo-Communities trough time: Triversa, 3.2 Ma; Montopoli, 2.6 Ma; Up Valdarno, 1.9 Ma; ValdiChiana, 1.5 Ma; Pirro, 1.1 Ma; Galerian 1, 0.8 Ma; Galerian 2, 0.6 Ma; Galerian 3, 0.45 Ma; and Aurelian, 0.3 Ma.

f04_33.eps

Fig. 5.

Disparity values computed for morphospace of each extant and Plio-Pleistocene large carnivore guild. Lines define 95% confidence interval under 999 randomizations. Extant is for all living taxa (N = 34) while Plio-Pleistocene stand for all fossil taxa (N = 23). Kruger, Africa is for Africa, Gunung Lensung, Indonesia for Indonesia, Otishi for South America, , Yellowstone for North America, Krokonose for Czech Republic. Fossil communities are ordered from the youngest to the oldest: Aurelian, 0.3 Ma; Galerian 3, 0.45 Ma; Galerian 2, 0.6 Ma; Galerian 1, 0.8 Ma; Pirro, 1.1 Ma; ValdiChiana, 1.5 Ma; Up Valdarno, 1.9 Ma; Montopoli, 2.6 Ma; Triversa, 3.2 Ma.

f05_33.eps

Fig. 6.

Scatter plot of log number of artiodactyls vs. large carnivore disparity values. Open circles, extant ecosystems; closed, fossil ecosystems. A linear trendline is placed on extant data points. Open circles represent extant ecosystem including Kruger, Africa, Africa; Gunung Lensung, Indonesia Lensung, Indonesia; Otishi, South America; Yellowstone, North America; Krokonose, Czech Republic. Closed circles are fossil communities: Triversa, 3.2 Ma; Montopoli, 2.6 Ma; Up Valdarno, 1.9 Ma; ValdiChiana, 1.5 Ma; Pirro, 1.1 Ma; Galerian 1, 0.8 Ma; Galerian 2, 0.6 Ma; Galerian 3, 0.45 Ma; and Aurelian, 0.3 Ma.

f06_33.eps

Discussion

The lack of differences in mandibular corpus shape disparity among large carnivore guilds through space and time is not an unexpected trend. As suggested by Van Valkenburgh (1988, 1995), morphological diversity in the trophic apparatus of carnivores was already achieved more than 30 million years ago and it remains constant probably because of competition (as a strong driving force in moulding carnivore diversity) as well as unchanged pattern in the nature of consumed resources (skin and bone structure of prey remain basically the same). The morphospace identified by mandibular corpus shape is informative from a taxonomic perspective and it shows that the landmark configuration chosen discriminates hypercarnivorous taxa from more generalist one (Fig. 2). Interestingly, this dichotomy is not entirely “phylogenetic” if we consider the suborder level (Caniformia—Feliformia, Bryant 1996). Extant viverrids overlap with both canids and mustelids, suggesting that convergence occurs in these clades. Ewer (1973) identified common features between Caniformia and Viverridae which are possibly the result of parallel evolution, while Friscia et al. (2007) noted functional convergence due to similar dietary adaptations. Morphospace regions also show an ecological signal even if hypercarnivorous canids (grey wolf Canis lupus, African wild dog Lycaon pictus, dhole Cuon alpinus; sensu Van Valkenburgh 1991) are not grouped with the specialist predators such as felids and hyaenids. Meloro et al. (2008b) already explained this lack of overlap in corpus shape because of the extremely reduced dentition of hypercarnivore feliforms. This pattern is even more evident because of the different landmark configuration used in this study.

In general, the I and the II quadrants of RW1-2 morphospace are occupied by caniforms and feliforms with a generalist dentition and more elastic feeding behaviour (primarily omnivores). Members of Ursidae are the most distinctive because they are characterised by an elongated molar crushing area, a very thick corpus, and an extremely reduced premolar row. These features evolved since the Pliocene, an important time period for the evolution of the subfamily Ursinae (Kurtén 1968; Mazza and Rustioni 1994). The phylogenetic pattern in morphospace occupation (Fig. 2) preludes a lack of differentiation between extant and Plio-Pleistocene fossil carnivore guilds. The presence of slash and ambush stalkers (long canine cat morphotype, sensu Werdelin 1996) as well as of specialised bone crackers (hyenas of the genus Pachycrocuta and Pliocrocuta) do not alter morphospace occupation; and even distinct taxa, such as Chasmaporthetes, clearly cluster according to their family affiliation (Hyaenidae, Figs. 2, 4). PlioPleistocene canids that characterise the Wolf event are all part of modern Canini radiation (Rook and Torre 1996; Wang and Tedford 2008) and they share with them similar mandibular corpus morphology (Fig. 2 but see also II quadrant from Montopoli until Pirro, Fig. 4). The racoon-dog like ancestor (Nyctereutes megamastoides) is present only in Montopoli, occupying the second quadrant.

Table 1.

Pi values exhibited by each guild morphospace. Range values are computed after 999 random permutations following the Strauss and Sandler distribution.

t01_33.gif

Galerian 1 (0.8 Ma) possibly represents a period when important changes occurred in the large carnivore guild. Several Villafranchian taxa persisted among feliforms (Homotherium, Pachycrocuta and P. gombaszoegensis), while one species of dog (C. arnensis) and the newcomer cave bear (Ursus deningeri) are the only Caniformia. This large carnivore guild was soon filled in Galerian 2 by pantherine cats, cave lynx, the reappearance of Pliocrocuta perrieri (according to Turner 1995), the large mustelid Meles meles, and the brown bear Ursus arctos. In Galerian 3 Homotherium disappears even if the feliform region is overfilled by lion (Panthera leo), leopard (Panthera pardus), and spotted hyena (Crocuta crocuta), that persist in the Aurelian.

Clearly, the disappearance of archaic “ecomorphs” (e.g., long-canine cats, giant hyenas) does not affect morphospace occupation because they were soon replaced by newcomers. This result is also supported by the analyses of species diversity as presented in Meloro et al. (2008a), where number of species of large carnivores remained relatively unchanged throughout the Plio-Pleistocene.

The geometric morphometric approach to the quantification of morphological disparity appears to be robust and insensitive to sample size variation. As confidence intervals are very large, it is necessary to interpret Morphological Disparity values with caution. Yet, the small variability of shape disparity exhibits several counterintuitive relationships in need of further explanation. Van Valkenburgh (1988) pointed out that changes in disparity among large carnivore guilds could be related with the number of prey. Here, the absolute number of prey does not affect morphological disparity, even if number of Artiodactyla does in a negative way. It is likely that the latter parameter is more informative because artiodactyls do not include megaherbivores (species > 1000 kg), which are rarely preyed by large carnivores in both extant and possibly ancient ecosystems (Owen-Smith 1988; Meloro et al. 2007). Nevertheless, the mix of scales (temporal and spatial) clearly suggests that number of artiodactyls influence only MD of extant carnivore guilds.

Extant large carnivores are represented by very different ecosystems whose zoogeographical evolutionary history could be possibly traced back before the Plio-Pleistocene. On the other hand, carnivore communities of the Plio-Pleistocene that were analysed belong to a very restricted time period —3.5 Ma/0.3 Ma—where the dramatic climate changes affected only partially the local fauna of large mammals (Raia et al. 2005; Meloro et al. 2008a; Blois and Hadly 2009). Because of this, MD changes are not particularly informative when comparing community assemblages that are too similar.

For extant ecosystems, Van Valkenburgh (1988) already explained the greater morphological richness of tropical carnivore guild as a consequence of a greater productivity of such ecosystems (measured as number of prey). Interestingly, she pointed out that the most productive ecosystems (Serengeti and Indonesia, cf. Kruger and Gunung Lensung in the present analysis) have the same number of hypercarnivore predators and are strikingly similar if we exclude the presence or absence of a bearlike morphotype. This latter point is central to explaining corpus shape disparity in modern carnivore community. Indeed, the European carnivore guild shows a random to over-dispersed morphospace occupation as the result of high morphological differentiation among species. Counter intuitively, this is due to the small diversity in prey. A low number of ungulate species affects guilds of mammalian carnivores because it can support very few specialist meat-eaters. On the other hand, omnivore Carnivora morphotypes have little competition for resources and can grow in number. The latter occupy extreme regions of morphospace (e.g., bears, canids, mustelids), increasing the relative volume.

Changes of MD through time are possibly better interpreted on the light of theories on morphospace occupation. Van Valkenburgh (1995) described in carnivores a phenomenon of morphospace occupation in time that does not conform to general theory: “ecomorphs” tend to invade central and not extreme positions in morphospace through time. All the analysed guilds are clustered in the morphospace except Krokonose, Triversa, and Galerian 1. They have the smallest numbers of large carnivores (respectively 4, 4, and 5) and all of them have an ursid in the faunal composition. The relative warp plots (Fig. 3, 4) help identify a common unbalanced morphospace occupation in such ecosystems (more than one ecomorph present only in a particular region of morphospace e.g., II quadrant with RW1+ and RW2- scores in Krokonose; or IV quadrant in Galerian 1, with three catlike morphotypes).

This phenomenon also validates the negative relationship between disparity and productivity values (number of artiodactyls), because extreme omnivore “ecomorphs” can occupy ecosystems with low numbers of ungulates. Moreover, Dalerum et al. (2009) demonstrated that the extant European large carnivore guild exhibits a depleted fauna, possibly the result of extinction without replacement. This explanation applies also to Triversa and Galerian 1, periods of important structural changes for the Italian mammal fauna (Meloro et al. 2008a).

It is likely that corpus shape disparity of Italian Plio-Pleistocene carnivores can be considered a comparative metric to explore some biological reason for small variations that are not intimately affected by climate changes. There is increasing evidence that the structure of European Plio-Pleistocene large mammalian communities should reflect accurately changes in climate (Hernández Fernández and Peláez-Campomanes 2003, 2005; Rodriguéz et al. 2004; Raia et al. 2005, 2009; Meloro et al. 2008a). Mendoza et al. (2005) underlined that ecological assembly of mammalian communities is an intrinsic property of the ecosystems, which reflects habitat complexity. Such evidence comes from quantitative models where all mammals are considered. In this case, the inclusion of the ungulate community has a key role because herbivores are intimately related to the physical environment (Janis 1984; Janis et al. 2000, 2004; Owen-Smith 1988; Fortelius et al. 2002). Hence the role of carnivore community structure is only marginal to define changes in physical environment, and this fact can be explained biologically. Hernández Fernández and Vrba (2005) reported for the African mammal fauna a large proportion of eurybiomic carnivores compared to herbivores. This means that carnivores generally tend to occupy more biomes than other species in lower trophic levels. As a consequence, it is likely that such generalisation is also valid for Ice Age European carnivores—hence morphological variability of such group does not reflect climatic oscillations. In support of this contention, O'Regan et al. (2002) consider the Italian peninsula a possible Ice Age refugium for a large carnivore like Panthera gombaszoegensis. It is likely that large carnivore communities of Italy were less affected by climate than assemblages of Northern Europe.

Conclusion

Corpus shape disparity of large carnivore guilds did not change significantly through space and time. In extant ecosystems, corpus shape disparity is negatively affected by the number of artiodactyls because of broad evolutionary, zoogeographical differences.

Large carnivores tend to saturate central morphospace areas, confirming (for both extant and extinct ecosystems) that ecomorph specialisation does not occur in extreme regions of morphospace (Van Valkenburgh 1995). Shape disparity of large carnivore guilds in Plio-Pleistocene ecosystems is possibly influenced by species turnover. Interestingly, some large carnivore guilds (Triversa, Galerian 1, and Krokonose) are outliers in morphospace occupation, exhibiting an ecomorph-random distribution (or over-dispersed) and unusual disparity values for their numbers of species. They indicate periods—or areas—characterised by low carnivore diversity (reflected by number of species) with a high morphological variability.

Acknowledgements

I thank curators and staff of several museum institutions that kindly provided access to museum collections: Paula Jenkins, Louise Tomsett, Roberto Portela-Miguez, Daphne Hills, Jeremy Hooker, Andy Currant (all BMNH); Elisabbetta Cioppi, Lorenzo Rook (both IGF); Paolo Agnelli (MZLS); Antonio Tagliacozzo (MNPE); Maggie Reilly, Jeff Liston (both HM); Begoña Sanchez, Jorge Morales, Josefina Cabarga, Josefina Barreiro Rodríguez (all MNCN); Alfonso Arribas (IGME); Daniel Goujet, Pascal Tassy and Claire Signe (all MNHN). Federico Lucci and Paolo Piras (both Università degli Studi di Roma 3, Roma, Italy) kindly shared their felid mandible database with me. Pasquale Raia and Francesco Carotenuto (both Università degli Studi di Napoli “Federico II”, Napoli, Italy) tracked the progress of my work and I am indebted to their friendship. I am grateful to the editor Richard Cifelli and two anonymous reviewers that greatly improved the quality of the manuscript. The present work is dedicated to the invaluable support of Adele Colamarco. This research was supported by the European Community's Programme “Structuring the European Research Area” under SYNTHESYS at the Museo Nacional de Ciencias Naturales (ES-TAF 858) and Muséum National d'Histoire Naturelle (FR-TAF 1680) for the project “The evolution of feeding habits in extinct European carnivores”.

References

1.

D.C. Adams , F.J. Rohlf , and D.E Slice . 2004. Geometric morphometrics: ten years of progress following the “revolution”. Italian Journal of Zoology 71: 5–16. [CrossRef] Google Scholar

2.

J. Alroy 2001. A multispecies overkill simulation of the end-Pleistocene megafaunal mass extinction. Science 292: 1893–1896. [CrossRef] Google Scholar

3.

P. Anconetani and C. Peretto 1996. La fatturazione intenzionale delle ossa lunghe e della mandibola come indice di attività umana nel sito di Isernia La Pineta. In : C. Peretto (ed.), I reperti paleontologici del giacimento paleolitico di Isernia La Pineta. Isernia , 453–530. Istituto regionale per gli studi storici del Molise “V. Cuoco”, Cosmo Iannone.  Google Scholar

4.

J. Augustě and M. Antón 2002. Mammoths, Sabertooths, and Hominids. 65 Million Years of Mammalian Evolution in Europe. 328 pp. Columbia University Press, New York. Google Scholar

5.

M. Arzarello , F. Marcolini , G. Pavia , M. Pavia , C. Petronio , M. Petrucci , L. Rook , and R. Sardella 2007. Evidence of earliest human occurrence in Europe: the site of Pirro Nord (Southern Italy). Naturwissenschaften 94: 107–112. [CrossRef] Google Scholar

6.

A. Azzaroli 1983. Quaternary mammals and the “End Villafranchian” dispersal event—A turning point in the history of Eurasia. Palaeogeography, Palaeoclimatology, Palaeoecology 44: 117–139. [CrossRef] Google Scholar

7.

A. Azzaroli , C. De Giuli , G. Ficcarelli , and D. Torre 1988. Late Pliocene to early Mid-Pleistocene mammals in Eurasia: faunal succession and dispersal events. Palaeogeography, Palaeoclimatology, Palaeoecology 66: 77–100. [CrossRef] Google Scholar

8.

A.D. Barnosky 2005. Effects of Quaternary climatic change on speciation in mammals. Journal of Mammalian Evolution 12: 247–256. [CrossRef] Google Scholar

9.

A.D. Barnosky and B.P. Kraatz 2007. The role of climatic change in the evolution of mammals. Bioscience 57: 523–532. [CrossRef] Google Scholar

10.

A.D. Barnosky , C.J. Bell , S.D. Emslie , H.T Goodwin , J.I. Mead , C.A. Repenning , E. Scott , and A.B. Shabel 2004. Exceptional record of mid-Pleistocene vertebrates helps differentiate climatic from anthropogenic ecosystem perturbations. Proceedings of the National Academy of Science USA 101: 9227–9302. [CrossRef] Google Scholar

11.

J.L. Blois and E.A. Hadly 2009. Mammalian response to Cenozoic climatic change. Annual Review of Earth and Planetary Sciences 37: 8.1–8.28. Google Scholar

12.

F.L. Bookstein 1989. “Size and shape”: a comment on semantics. Systematic Zoology 38: 173–180. [CrossRef] Google Scholar

13.

F.L. Bookstein 1996. Combining the tools of geometric morphometrics. In : L.F. Marcus , M. Corti , A. Loy , G.J.P. Naylor , and D.E. Slice (eds.), Advances in Morphometrics. NATO ASI Series A: Life Sciences 284: 131–152. Google Scholar

14.

N.H. Bryant 1996. Explicitness, stability, and universality in the phylogenetic definition and usage of taxon names: a case study of the phylogenetic taxonomy of the Carnivora (Mammalia). Systematic Biology 45: 174–189. Google Scholar

15.

M. Cardillo and A. Lister 2002. Death in the slow lane. Nature 419: 440–441. [CrossRef] Google Scholar

16.

C.N. Ciampaglio , M. Kemp , and D.W. McShea 2001. Detecting changes in morphospace occupation patterns in the fossil record: characterization and analysis of measures of disparity. Paleobiology 27: 695–715. [CrossRef] Google Scholar

17.

P. Christiansen and J.S. Adolfssen 2005. Bite forces, canine strength and skull allometry in carnivores (Mammalia, Carnivora). Journal of Zoology London 266: 133–151. [CrossRef] Google Scholar

18.

M. Coltorti , G. Feraud , A. Marzoli , C. Peretto , T. Ton-That , P. Voinchet , J.-J. Bahain , A. Minelli , and U.T. Hohenstein 2005. New 40 Ar/ 39 Ar, stratigraphic and palaeoclimatic data on the Isernia La Pineta Lower Palaeolithic site, Molise, Italy. Quaternary International 131: 11–22. [CrossRef] Google Scholar

19.

M. Crusafont-Pairó and J. Truyols-Santonja 1956. A biometric study of evolution of fissiped carnivores. Evolution 10: 314–332. [CrossRef] Google Scholar

20.

M. Crusafont-Pairó and J. Truyols-Santonja 1957. Estudios masterométricos en la evolución Fisípedos. I. Los módulos angulares á y â. II. Los parámetros lineales P, C, y T. Boletino Instituto Geologico y Minero España 68: 1–140. Google Scholar

21.

M. Crusafont-Pairó and J. Truyols-Santonja 1958. A quantitative study of Stasigenesis in fissiped carnivores. Nature 181: 289–290. [CrossRef] Google Scholar

22.

F. Dalerum , E.Z. Cameron , K. Kunkel , and M.J. Somers 2009. Diversity and depletions in continental carnivore guilds: implications for prioritizing global carnivore conservation. Biology Letters 5: 35–38. [CrossRef] Google Scholar

23.

A.R. Evans , G.P. Wilson , M. Fortelius , and J. Jernvall 2007. High-level similarity of dentitions in carnivorans and rodents. Nature 445: 78–81. [CrossRef] Google Scholar

24.

R.F. Ewer 1973. The Carnivores. 544 pp. Cornell University Press, Ithaca. Google Scholar

25.

M. Foote 1990. Nearest-neighbour analysis of trilobite morphospace. Systematic Zoology 39: 371–382. [CrossRef] Google Scholar

26.

M. Foote 1992. Paleozoic record of morphological diversity in blastozoan echinoderms. Proceedings of the National Academy of Sciences USA 89: 7325–7329. [CrossRef] Google Scholar

27.

M. Foote 1993. Discordance and concordance between morphological and taxonomic diversity. Paleobiology 19: 185–204. Google Scholar

28.

M. Foote 1997. The evolution of morphological diversity. Annual Review of Ecology and Systematics 28: 129–152. [CrossRef] Google Scholar

29.

M. Fortelius , J. Eronen , J. Jernvall , L. Liu , D. Pushkina , J. Rinne , A. Tesakov , I. Vislobokova , Z. Zhang , and L. Zhou 2002. Fossil mammals resolve regional patterns of Eurasian climate change over 20 million years. Evolutionary Ecology Research 4: 1005–1016. Google Scholar

30.

A.R. Friscia , B. Van Valkenburgh , and A.R. Biknevicius 2007. An ecomorphological analysis of extant small carnivorans. Journal of Zoology 272: 82–100. [CrossRef] Google Scholar

31.

M. Hernández Fernández and P. Peláez-Campomanes 2003. The bioclimatic model: a method of palaeoclimatic qualitative inference based on mammal associations. Global Ecology and Biogeography 12: 507–517. [CrossRef] Google Scholar

32.

M. Hernández Fernández and P. Peláez-Campomanes 2005. Quantitative palaeoclimatic inference based on terrestrial mammal faunas. Global Ecology and Biogeography 14: 39–56. [CrossRef] Google Scholar

33.

M. Hernández Fernández and E. Vrba 2005. Rapoport effect and biomic specialization in African mammals: revisiting the climatic variability hypothesis. Journal of Biogeography 32: 903–918. [CrossRef] Google Scholar

34.

J.A. Holliday and S.J Steppan . 2004. Evolution of hypercarnivory: the effect of specialization on morphological and taxonomic diversity. Paleobiology 30: 108–128. [CrossRef] Google Scholar

35.

C.M. Janis 1984. The significance of fossil ungulate communities as indicators of vegetation structure and climate. In : P.J. Brenchley (ed.), Fossils and Climate , 85–104. John Wiley and Sons, New York. Google Scholar

36.

C.M. Janis , J. Damuth , and J. Theodor 2000. Miocene ungulates and terrestrial primary productivity: where have all the browsers gone? Proceedings of the National Academy of Sciences 97: 7899–7904. [CrossRef] Google Scholar

37.

C.M. Janis , J. Damuth , and J. Theodor 2004. The species richness of Miocene browsers, and implications for habitat type and primary productivity in the North American grassland biome. Palaeogeography, Palaeoclimatology, Palaeoecology 207: 371–398. [CrossRef] Google Scholar

38.

P.L. Koch and A.D. Barnosky 2006. Late Quaternary extinctions: state of the debate. Annual Review of Ecology, Evolution, and Systematics 37: 215–250. [CrossRef] Google Scholar

39.

T. Kotsakis , C. Petronio , C. Angelone , P. Argenti , G. Barisone , C. Bedetti , L. Capasso Barbato, E. Di Canzio , F. Marcolini , and R. Sardella 2002. Endemisms in Plio-Pelistocene vertebrate faunas of Italian peninsula and their palaeobiogeographical meaning. Abstracts First International Paleontological Congress, 6–10 Jul. 2002, Sydney, Australia , 93–94. Geological Society of Australia, Sydney. Google Scholar

40.

B. Kurtén 1968. Pleistocene Mammals of Europe. 326 pp. Aldine Publishing Company, Chicago. Google Scholar

41.

A.M. Lister 2004. The impact of Quaternary Ice Ages on mammalian evolution. Philosophical Transactions of the Royal Society of London B 359: 221–241. [CrossRef] Google Scholar

42.

P. Mazza and M. Rustioni 1994. On the phylogeny of the Eurasian bears. Palaeontographica Abteilung A 230: 1–38. Google Scholar

43.

C. Meloro , P. Raia , and C. Barbera 2007. Effect of predation on prey abundance and survival in Plio-Pleistocene mammalian communities. Evolutionary Ecology Research 9: 505–525. Google Scholar

44.

C. Meloro , P. Raia , F. Carotenuto , and C. Barbera 2008a. Diversity and turnover of Plio-Pleistocene large mammal fauna from the Italian Peninsula. Palaeogeography, Palaeoclimatology, Palaeoecology 268: 58–64. [CrossRef] Google Scholar

45.

C. Meloro , P. Raia , P. Piras , C. Barbera , and P. O'Higgins 2008b. The shape of the mandibular corpus in large fissiped carnivores: allometry, function and phylogeny. Zoological Journal of the Linnean Society 154: 832–845. [CrossRef] Google Scholar

46.

M. Mendoza , C.M. Janis , and P. Palmqvist 2005. Ecological patterns in the trophic-size structure of large mammal communities: a ‘taxon free’ characterization. Evolutionary Ecology Research 1: 505–530. Google Scholar

47.

R.M. Nowak 1991. Walker's Mammals of the World , 5th edition. 1712 pp. Johns Hopkins University Press, Baltimore. Google Scholar

48.

H.J. O'Regan , A. Turner , and D.M. Wilkinson 2002. European Quaternary refugia: a factor in large carnivore extinction? Journal of Quaternary Science 17: 789–795. [CrossRef] Google Scholar

49.

R.N. Owen-Smith 1988. Megaherbivores. The Influence of Very Large Body Size on Ecology. 382 pp. Cambridge University Press, Cambridge. Google Scholar

50.

D.P. Polly and D.N. MacLeod 2008. Locomotion in fossil Carnivora: An application of eigensurface analysis for morphometric comparison of 3D Surface. Palaeontologia Electronica 11, 10A: 1–13.  http://palaeo-electronica.org/2008_2/135/index.html  Google Scholar

51.

P. Raia 2004. Morphological correlates of tough food consumption in carnivores. Italian Journal of Zoology 71: 45–50. [CrossRef] Google Scholar

52.

P. Raia , P. Piras , and T. Kotsakis 2005. Turnover pulse or Red Queen? Evidence from the large mammal communities during the Plio-Pleistocene of Italy. Palaeogeography, Palaeoclimatology, Palaeoecology 221: 293–312. [CrossRef] Google Scholar

53.

P. Raia , P. Piras , and T. Kotsakis 2006. Detection of Plio-Quaternary large mammal communities of Italy: integration to biochronology. Quaternary Science Review 25: 846–854. [CrossRef] Google Scholar

54.

P. Raia , F. Carotenuto , C. Meloro , P. Piras , C. Barbera , and T. Kotsakis 2009. More than three million years of community evolution. The temporal and geographical evolution of the Plio-Pleistocene Western Eurasia mammal faunas. Palaeogeography, Palaeoclimatology, Palaeoecology 276: 15–23. [CrossRef] Google Scholar

55.

J. Rodriguez , M.T. Alberdi , B. Azanza , and J.L. Prado 2004. Body size structure in north-western Mediterranean Plio-Pleistocene mammalian faunas. Global Ecology and Biogeography 13: 163–176. [CrossRef] Google Scholar

56.

F.J. Rohlf 2006a. tpsDig 2.10. Department of Ecology and Evolution, State University of New York, Stony Brook, New York. Google Scholar

57.

F.J. Rohlf 2006b. tpsRelw v. 1.44. Department of Ecology and Evolution, State University of New, York, Stony Brook, New York. Google Scholar

58.

F.J. Rohlf and D.E. Slice 1990. Extensions of the Procrustes method for the optimal superimposition of landmarks. Systematic Zoology 39: 40–59. [CrossRef] Google Scholar

59.

L. Rook and D. Torre 1996. The wolf-event in Western Europe and the beginning of the Late Villafranchian. Neues Jahrbuch für Geologie und Paläontologie Monatshefte 1996 (8): 495–501. Google Scholar

60.

A. Turner 1995. The Villafranchian large carnivore guild: geographic distribution and structural evolution. Il Quaternario 8: 349–356. Google Scholar

61.

A. Turner and M. Antón 1997. The Big Cats and Their Fossil Relatives. 256 pp. Columbia University Press, New York. Google Scholar

62.

B. Van Valkenburgh 1985. Locomotor diversity between past and present guilds of large predatory mammals. Paleobiology 11: 406–428. Google Scholar

63.

B. Van Valkenburgh 1988. Trophic diversity in past and present guilds of large predatory mammals. Paleobiology 14: 155–173. Google Scholar

64.

B. Van Valkenburgh 1989. Carnivore dental adaptations and diet: a study of trophic diversity within guilds. In : J.L. Gittleman (ed.), Carnivore Behavior, Ecology, and Evolution. Vol 1, 410–436. Ithaca, Cornell University Press. Google Scholar

65.

B. Van Valkenburgh 1991. Iterative evolution of hypercarnivory in canids (Mammalia: Carnivora): evolutionary interactions among sympatric predators. Paleobiology 17: 340–362. Google Scholar

66.

B. Van Valkenburgh 1995. Tracking ecology over geological time: evolution with guilds of vertebrates. Trends in Ecology and Evolution 10: 71–76. [CrossRef] Google Scholar

67.

B. Van Valkenburgh 1999. Major patterns in the history of carnivorous mammals. Annual Review of Earth and Planetary Science 27: 463–493. [CrossRef] Google Scholar

68.

B. Van Valkenburgh 2007. Déjà vu: the evolution of feeding morphologies in the Carnivora. Integrative and Comparative Biology 47: 147–163. [CrossRef] Google Scholar

69.

X. Wang and R.H. Tedford 2008. Dogs: Their Fossil Relatives and Evolutionary History. 219 pp. Columbia University Press, New York. Google Scholar

70.

L. Werdelin 1996. Carnivoran ecomorphology: a phylogenetic perspective. In : J.L. Gittleman (ed.), Carnivore Behavior, Ecology, and Evolution. Vol 2, 582–624. Ithaca, Cornell University Press. Google Scholar

71.

G.D. Wesley-Hunt 2005. The morphological diversification of carnivores in North America. Paleobiology 31: 35–55. [CrossRef] Google Scholar

72.

M.A. Wills , D.E.G. Briggs , and R.A. Fortey . 1994. Disparity as an evolutionary index: a comparison of Cambrian and recent arthropods. Paleobiology 20: 93–130. Google Scholar

73.

S. Wroe , C. McHenry , and J. Thomason 2005. Bite club: comparative bite force in big biting mammals and the prediction of predatory behaviour in fossil taxa. Proceeding of the Royal Society B 272: 1–7. [CrossRef] Google Scholar

74.

J. Zachos , M. Pagani , L. Sloan , E. Thomas , and K. Billups 2001. Trends, rhythms and aberrations in Global climate 65 Ma to present. Science 292: 686–693. [CrossRef] Google Scholar

75.

M.L. Zelditch , H.D. Sheets , and W.L. Fink 2003. The ontogenetic dynamics of shape disparity. Paleobiology 29: 139–156. [CrossRef] Google Scholar

76.

M.L. Zelditch , D.L. Swiderski , H.D. Sheets , and W.L. Fink 2004. Geometric Morphometrics for Biologists. A Primer. 443 pp. Elsevier Academic Press, London. Google Scholar

Appendices

Appendix 1

List of mandible specimens photographed with family affiliation and guild membership.

Guild membership is ascribed accordingly to the presence of a species in a geographic or temporal area. When species are present continuously from one PCOM to another I used the score “—” (e.g., Meles meles is present from PCOM Galerian 2 to Aurelian), but when their presence is validated only for certain periods I used the suffix “&” (e.g., Pliocrocuta perrieri is present in Montopoli and Galerian 2 but not in the other PCOMs, that is no range through is applied).

tA01a_33.giftA01b_33.gif
Carlo Meloro "Morphological Disparity in Plio-Pleistocene Large Carnivore Guilds from Italian Peninsula," Acta Palaeontologica Polonica 56(1), 33-44, (1 March 2011). https://doi.org/10.4202/app.2010.0037
Received: 21 April 2010; Accepted: 9 September 2010; Published: 1 March 2011
KEYWORDS
Carnivora
geometric morphometrics
Italian Peninsula
Italy
mandible shape
Quaternary
Back to Top