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Body size does not predict species richness among the metazoanphyla
C. D. L. ORME, D. L. J. QUICKE, J. M. COOK & A. PURVIS
Department of Biology, Imperial College, London, UK
Introduction
Highly uneven distributions of species richness within
higher taxa are a common feature of natural assemblages
(Dial & Marzluff, 1989). Simulation studies, however,
have shown that such extreme overdominance of taxa is
not expected from null models of the distribution of
species among higher taxa in which all contemporaneous
species have the same probability of speciation (Dial &
Marzluff, 1989; Nee et al., 1996). Consequently, com-
parative studies have set out to identify traits correlated
with increased species richness. Many of these studies
have focused on the effects of body size on species
richness, because body size subsumes a great deal of
other ecological variation (Peters, 1983). Early work
frequently suggested, at a wide range of taxonomic
scales, that diversity is highest amongst the smallest
bodied taxa. For example, Van Valen (1973) demonstra-
ted this for angiosperms, mammals and birds and May
(1986) suggested that this was the case for all terrestrial
animals. In contrast, Dial & Marzluff (1988) examined a
wide range of body size distributions and proposed that
taxonomic diversity was highest at a small intermediate
body size.
Comparative studies can be confounded by problems of
phylogenetic nonindependence of the traits under study
(Felsenstein, 1985). Independent contrasts circumvent
this problem by using the differences in traits between
sister taxa identified from phylogenies rather than the
trait values themselves (Felsenstein, 1985). Phylogenetic
studies of the correlation between body size and diversity
have been carried out among the families of birds (Nee
et al., 1992), mammals (Gardezi & da Silva, 1999), and
species of primates and carnivores (Gittleman & Purvis,
1998). Of these studies, only Gittleman & Purvis (1998)
found support for increased diversity in small bodied
clades, and then only in a subclade of the Carnivora. A
possible limitation of these studies is that they only
examine taxa at the rank of class or below and may be at
too fine a scale to detect patterns of diversity resulting
from body size differences.
In this study we have therefore used the phyla of the
Metazoa to examine the relationship between body size
and diversity at a scale which is comparable with
previous studies by May (1986) and Dial & Marzluff
(1988) but with the inclusion of phylogenetic informa-
tion resulting from recent intense scrutiny of the meta-
zoan relationships. The Metazoa includes organisms
ranging from a few hundred microns to tens of metres
in length. To our knowledge, this is the first study
to re-address the questions discussed above at such a
large scale and with appropriate corrections for the effects
of phylogenetic relatedness.
Keywords:
independent contrasts;
macroevolution;
Metazoa.
Abstract
We present a comparative study of the relationship between body size and
described taxonomic diversity in the Metazoa. We find no pattern between
body size and taxonomic diversity; neither the smallest organisms nor
organisms at an intermediate body size are consistently more diverse than
their closest relatives. This conclusion holds for both nonphylogenetic analysis,
in which phyla are treated as independent points, and analysis of independent
contrasts using several recent hypotheses of metazoan phylogeny. These
results appear surprising in the context of existing models of body size
distributions. However, such models are built around the prevalence of right-
skewed distributions and we find no evidence for such a distribution.
Correspondence: C. David L. Orme, Department of Biology, Imperial
College, Silwood Park, Ascot, Berkshire, UK, SL5 7PY.
Tel.: +44 20759442446; fax: +44 20759442339;
e-mail: [email protected]
J . E V O L . B I O L . 1 5 ( 2 0 0 2 ) 2 3 5 – 2 4 7 ª 2 0 0 2 B L A C K W E L L S C I E N C E L T D 235
Phylogeny
Recent studies, using both molecular and morphological
data, have proposed many alternative statements of
relationships amongst the Metazoa as whole, or of taxa
within the Metazoa. In order to assess whether our
results are sensitive to the differences between these
statements, we repeat all our analyses using several
phylum-level phylogenies. The first two are the preferred
trees of Zrzavy et al. (1998), based on morphological and
18S rDNA data, and Nielsen et al. (1996), based on
morphological data, because both are fully resolved and
contain the vast majority of the metazoan phyla. How-
ever, neither presents the hypothesis, supported by
recent work using morphology and embryology (Eernisse
et al., 1992), 18S rDNA (Aguinaldo et al., 1997;
Ruiz-Trillo et al., 1999) and Hox genes (de Rosa et al.,
1999), that the Bilateria can be divided into protostome
and deuterostome clades and, further, that the protost-
omes are split into the Ecdysozoa and Lophotrochozoa.
We have therefore also taken the summary phylogeny
presented by Holland (1999) as a basis and used several
variant resolutions of the areas of uncertainty. One
variant is shown in Fig. 1 and the alternative topologies
used are described below.
Diploblasts
We have adopted two variant topologies for the
resolution of the diploblasts, both of which present
the Porifera as a paraphyletic grouping of the Calcarea
and Demospongiae, but omitting the Hexactinellida
(Zrzavy et al., 1998; Borchiellini et al., 2001). The
variants differ in the branching order of the remaining
diploblasts:
D1 (Calcarea (Placozoa (Cnidaria (Ctenophora, Bilate-
ria)))) (Nielsen et al., 1996; Zrzavy et al., 1998)
D2 (Calcarea (Ctenophora (Placozoa (Cnidaria, Bilate-
ria)))) (Cavalier-Smith et al., 1996; Kim et al., 1999).
Ecdysozoa
M1 The Nematoda and Nematomorpha form a sister
taxon to the Panarthropoda as shown in Fig. 1: (Ceph-
aloryncha ((Nematoda, Nematomorpha) Panarthro-
poda)) (Zrzavy et al., 1998).
M2 The Nematoda and Nematomorpha form a sister
taxon to the Cephaloryncha: ((Cephaloryncha (Nema-
toda, Nematomorpha)) Panarthropoda) (Nielsen et al.,
1996; Garey et al., 1998).
Lophotrochozoa
These variants mainly reflect differences in the degree of
resolution of the lophotrochozoan taxa (Halanych et al.,
1995; Aguinaldo et al., 1997; de Rosa et al., 1999; Ruiz-
Trillo et al., 1999; Stechmann & Schlegel, 1999) shown in
Fig. 1.
L1 is the least resolved variant, consisting of a poly-
tomy with resolution only of two pairs of sister taxa:
(Acanthocephala, Rotifera) (Winnepenninckx et al.,
1995; Garey et al., 1998) and (Annelida, Echiura) (Rouse,
1999).
L2 and L3 add the sister group relationship (Cyclio-
phora, Entoprocta) (Funch & Kristensen, 1995; Zrzavy
et al., 1997) and two groupings of the Annelida, Echiura,
Sipuncula and Mollusca. The L2 variant uses (Mollusca
(Sipuncula (Annelida, Echiura))) (Eernisse et al., 1992),
whereas the L3 variant uses ((Mollusca, Sipuncula)
(Annelida, Echiura)) (Zrzavy et al., 1998).
L4 and L5 use the resolution seen in Fig. 1, based on
work by Eernisse et al. (19921 ), Funch & Kristensen
(1995), Garey et al. (1998) and Zrzavy et al. (1998). They
Fig. 1 One variant (D1M1L5)of the composite phylogeny used in
our analyses. The variable regions (D, L, M) are marked and the
alternative topologies are described in the text.
236 C. D. L. ORME ET AL .
J . E V O L . B I O L . 1 5 ( 2 0 0 2 ) 2 3 5 – 2 4 7 ª 2 0 0 2 B L A C K W E L L S C I E N C E L T D
differ only in the placement of the Sipuncula with L4
mirroring L2 and L5 mirroring L3.
In the absence of any reliable estimate of the branch
lengths within metazoan phylogenies we have assumed
that all branch lengths are equal (Ackerly, 2000), a point
we return to in the discussion.
Data
Body form varies considerably within the Metazoa and
so we use biological volume (Siemann et al., 1996;
Poulin & Morand, 2000), rather than length (May
1986) or area (Poulin, 1996, 1998), as a measure of
body size. Where possible we take data from existing
studies of body size distribution within taxa but for the
remaining taxa we take measurements from original
descriptions or from reviews. We use the maximum
recorded dimensions from individual species, as this is
most commonly reported. We use the median as a
measure of central tendency for the linear dimensions
and these are reported in Table 1, along with the
number of species contributing to each value. Where
width and/or height were not recorded in a source, we
make assumptions based on body form and the
remaining dimensions: such values are indicated in
parentheses in Table 1. Volume is calculated as the
product of these linear dimensions. In some cases, we
convert a mass to a volume: we assume a density of
1 g cm–1 in all cases and these conversions are noted in
Table 1. The analyses below use the natural logarithm
of these volumes.
In some cases, subtaxa show considerable differences
in body form or a terminal taxon in a phylogeny
comprises a group of phyla. Here we calculate the
volumes of each subtaxon and then use the mean of
the natural logarithms of the volumes of the subtaxa,
weighted by the number of described species, as the
volume of the taxon itself. All taxa used in calculations
are shown in Table 1 with indentation indicating where
values have been calculated from a group of subtaxa. An
electronic appendix provides further details on the body
size data collected and our data set is available from the
authors on request.
Numbers of described species are taken from a range of
recent reviews of taxa and estimates of described species.
Where estimates differ between sources, we prefer the
most recent estimates or estimates from reviews focusing
on a particular taxon. The described species numbers
used and the sources from which they are taken are also
shown in Table 1.
Analyses
The number of described species in the Arthropoda is
very large in comparison with all other metazoan phyla.
In order to test that our regressions are robust to the
possible leverage exerted by the arthropods, we have
performed all the analyses described below with the
arthropods both included and excluded.
We used linear regression to assess whether ln(biovol-
ume) is a predictor of species richness in the absence of
phylogenetic information. We initially fitted a quadratic
linear model to test for the existence of an intermediate
optimum body size and then performed model simplifi-
cation and diagnostic plots using the statistical program R
(Ihaka & Gentleman, 1996). Since species richness has a
highly right-skewed distribution, we used the natural
logarithm of species numbers as the response variable.
We have also approximated a histogram of body sizes
amongst species; for this figure we have used the
subdivisions of taxa shown in Table 1 in order to
represent the range of body sizes within the larger phyla
more accurately.
We next used MacroCAIC v.0.8.3 (Agapow & Isaac,
2002) to calculate phylogenetically independent con-
trasts of both ln(biovolume) and species richness. The
body size contrasts and nodal values of body size are
calculated, and the contrasts scaled by branch length to
standardize variance, according to the methods described
by Felsenstein (1985) and Pagel (1992).
Two contrasts of species richness are recommended
when using MacroCAIC (Isaac N. J. B et al., unpublished
work): the relative rate difference (RRD), calculated as
ln(Ni/Nj); and, the proportional dominance index (PDI),
calculated as Ni/Nt–0.5, where Ni and Nj are the number
of species in the larger and smaller bodied clade,
respectively, and Nt ¼ Ni + Nj. These measures vary little
in their performance in simulation studies (Isaac N.J.B.,
et al. unpublished work); here we have used the diag-
nostic tests described below to decide which is most
suited to our analyses. Contrasts are not calculated at
polytomous nodes. MacroCAIC is available from the
following URL: http://www.bio.ic.ac.uk/evolve/soft-
ware/macrocaic/index.html.
We performed two diagnostic analyses using the
output from MacroCAIC:
We used linear regression to test whether nodal body
size is correlated with the scaled body size contrasts. A
significant result would indicate that the variance in the
contrasts is not constant across the full range of body
sizes (Purvis & Rambaut, 1995).
We used linear regression to test whether total species
richness at a node (Nt) predicts the scaled species richness
contrasts (PDI or RRD) for that node. Again, a significant
result indicates that the variance in the contrasts is not
constant across the full range of total clade sizes (Isaac
N.J.B, et al. unpublished work).
MacroCAIC also reports the standardized residuals for
the regression through the origin in terms of the number
of standard deviations (Garland et al., 1992). We exam-
ined these residuals to check for data points with
standard deviations greater than ±1.96.
We used linear regression through the origin (Garland
et al., 1992) to test whether species richness contrasts are
Body size among metazoan phyla 237
J . E V O L . B I O L . 1 5 ( 2 0 0 2 ) 2 3 5 – 2 4 7 ª 2 0 0 2 B L A C K W E L L S C I E N C E L T D
Table 1 Body size and species richness data used in these analyses. The dimensions used to calculate biovolume (B) are given where available and
brackets indicate values estimated from the dimensions. The terminal taxa used by (a) Nielsen et al. (1996), (b) Zrzavy et al. (1998) and (c) the composite
phylogeny are indicated. Indentation indicates where subtaxa have been combined to calculate a volume for a higher taxon. The sources used are:
1 (Adis, 2000), 2 (Alford et al., 2000), 3 (Ball & Reynoldson, 1981), 4 (Barnes et al., 1993), 5 (Blackburn & Gaston, 1994b), 6 (Bonnet & Naulleau, 1994),
7 (Brown, 2000), 8 (Brunton & Curry, 1979), 9 (Cameron & Redfern, 1976), 10 (Clark, 1970), 11 (Clark & Courtman-Stock, 1976), 12 (Clarke &
Johnston, 1999), 13 (Dilly & Ryland, 1985), 14 (Dorjes, 1968), 15 (Ellis, 1978), 16 (Emig, 1979), 17 (Funch & Kristensen, 1995), 18 (Furuya et al., 1992),
19 (Gibson, 1982), 20 (Gibson, 1995), 21 (Ginsberg, 2000), 22 (Giray & King, 1996), 23 (Greenwood, 2000), 24 (Haukisalmi et al., 1998), 25 (Hayward &
Ryland, 1979), 26 (Hayward & Ryland, 1985), 27 (Hayward, 1985), 28 (Hayward & Ryland, 1990), 29 (Helfman, 2000), 30 (Higgins & Kristensen, 1986),
31 (Higgins & Kristensen, 1988), 32 (Hochberg & Short, 1983), 33 (Israelsson, 1999), 34 (Ivanov, 1963), 35 (Jones & Baxter, 1987), 36 (Kalavati et al.,
1984), 37 (King et al., 1994), 38 (Kozloff, 1992), 39 (Kozloff, 1993), 40 (Lester, 1985), 41 (Madsen & Hansen, 1994), 42 (Markham, 1971), 43 (Millar,
1970), 44 (Minelli, 1993), 45 (Morgan & King, 1976), 46 (Neubert & Nesemann, 1999), 47 (Nielsen, 1989), 48 (Nielsen, 1995), 49 (Nordsieck, 1969),
50 (Petrochenko, 1956), 51 (Petrochenko, 1958), 52 (Pierrot-Bults & Chidgey, 1988), 53 (Platt & Warwick, 1988), 54 (Pontin, 1978), 55 (Poss &
Boschung, 1996), 56 (Pough, 2000), 57 (Poulin, 1997), 58 (Poulin, 1998), 59 (Prudhoe, 1982), 60 (Reaka-Kudla, 2000), 61 (Robson, 1929), 62 (Robson,
1932), 63 (Rohde, 2001), 64 (Ruhberg, 1985), 65 (Ryland & Hayward, 1977), 66 (Schmidt-Rhaesa, 1997), 67 (Schwank & Bartsch, 1990), 68 (Siemann
et al., 1999), 69 (Silva & Downing, 1995), 70 (Smith, 1961), 71 (Stafford & Meyer 2000), 72 (Stephen & Edmonds, 1972), 73 (Sterrer, 1991a), 74 (Sterrer,
1991b), 75 (Sterrer, 1991c), 76 (Stokes & Holland, 1996), 77 (Thompson & Brown, 1976), 78 (Trouve et al., 1998), 79 (Tyler & Bush, 1998), 80 (Warwick
et al., 1998), 81 (Wheeler, 1978), 82 (Wilcke, 1967), 83 (Woodwick & Sensenbaugh, 1985), 84 (Yamaguchi, 1963).
Biovolume Length Width Height
(a) (b) (c) Taxa ln(B) (mm3) (mm) n (mm) n (mm) n Sources Species Sources Notes
� � Choanoflagellata – – – – – – – – – 140 48
� Porifera – – – – – – – – – 10 000 4
� � Demospongia – – – – – – – – – 9000 4
� � Calcarea – – – – – – – – – 1000 4
� � � Placozoa –0.11 0.9 3 3 (0.1) 4 1 48
� � � Cnidaria – – – – – – – – – 15 000 44
� � � Ctenophora – – – – – – – – – 80 48
� Orthonectida –8.95 0.00013 0.205 19 0.03 17 (0.03) – 38, 39 20 38, 39
� Dicyemida –4.67 0.0094 1.67 7 0.08 7 (0.08) – 18, 32, 36 70 4
� Platyhelminthes –0.10 0.91 55 436
� Platyhelminthes –0.08 0.93 55 117
� Platyhelminthes –0.07 0.93 55 000 63
Turbellaria 2.58 13.2 22 47 6 37 – – 3, 59 15 000 63
Monogenea –2.50 0.082 2 169 0.41 143 – – 84 10 000 63
Trematoda –2.08 0.125 57 20 000 63
Cestoda 2.42 11.213 75 53 1.5 34 – – 24, 78 10 000 63
� � Acoela –3.86 0.021 1.05 74 0.2 62 (0.1) – 14 319 79
� Nemertodermatida –3.86 10 79
� Catenulida –3.86 107 79
� Chordata 10.90 51 297
� � Cephalochordata 5.44 231 53 25 – – – – 55, 76 25 48
� � Urochordata 8.41 4500 20 57 15 57 (15) – 43 1990 4
� � Vertebrata 11.01 60 314 49 282 (i)
Agnatha 13.8 984467 550 4 (42.3) – (42.3) – 81 84 29
Chondrichthyes 17.78 5.3E + 07 1500 43 (187) – (187) – 81 848 29
Osteichthyes 11.16 70 000 – – – – – – 12 23 460 29
Amphibia 10.74 46 298 57 21 (28.5) – (28.5) – 70 4780 2
Snakes 11.63 112 500 850 62 – – – – 6, 71 2500 56
Lizards 8.61 5500 – – – – – – 56 3000 56
Aves 10.54 37 600 – – – – – – 5 9672 23
Mammalia 11.44 92 500 – – – – – – 69 4649 21
� � � Echinodermata 10.22 27 488 6227 4 (ii)
Holothuroidea 9.70 16 352 70 41 15.28 28 (15.28) – 41 1150 4
Echinoidea 12.17 193 365 69.5 59 66.7 19 41.7 49 11 950 4
Asteroidea 12.05 171806 – – – – – – 11 1500 4
Ophiurioidea 8.75 6283.2 – – – – – – 11 2000 4
Crinoidea 8.54 5097.7 – – – – – – 10 625 4
� Hemichordata 5.91 95
� � Enteropneusta 7.35 1557 173 3 3 3 (3) – 22, 37, 83 70 4
� � Pterobranchia 1.89 6.6 6.6 3 1 1 (1) – 13, 40, 42 25 48
� Cephalorhyncha –5.46 199
� � Kinoryncha –6.81 0.0011 0.38 7 0.05 7 (0.05) – 31 150 48
� � Loricifera –6.65 0.0013 0.205 7 0.08 7 (0.08) – 30 32 4
238 C. D. L. ORME ET AL .
J . E V O L . B I O L . 1 5 ( 2 0 0 2 ) 2 3 5 – 2 4 7 ª 2 0 0 2 B L A C K W E L L S C I E N C E L T D
Table 1 (continued)
Biovolume Length Width Height
(a) (b) (c) Taxa ln(B) (mm3) (mm) n (mm) n (mm) n Sources Species Sources Notes
� � Priapulida 8.76 6353 52.5 2 11 2 (11) – 28 17 48
� � � Nematoda –5.99 0.0025 1.4 285 0.042 239 (0.042) – 53, 80 20 000 48
� � � Nematomorpha 4.42 83.3 170 84 0.7 72 (0.7) – 66 304 66
� � � Onychophora 6.75 850.5 42 55 4.5 51 (4.5) – 64 70 44
� � � Tardigrada –5.95 0.0026 0.375 65 0.08 2 (0.08) – 45 600 48
� � � Arthropoda 3.81 45.21 1 074 577 (iii)
Arenae 4.48 88.2 – – – – – – 68 37 000 1
Acari 3.00 20.1 – – – – – – 58 45 000 1
Orthoptera 6.17 480 – – – – – – 68 20 000 7
Hemiptera 3.75 42.5 – – – – – – 68 98 000 7
Coleoptera 3.79 44.3 – – – – – – 68 350 000 7
Diptera 2.24 9.4 – – – – – – 68 120 000 7
Lepidoptera 5.09 162 – – – – – – 68 160 000 7
Hymenoptera 3.91 50 – – – – – – 68 120 000 7
Copepoda –2.67 0.069 1.04 15 (0.26) – (0.26) – 28 9000 60
Ostracoda –4.14 0.016 0.64 22 (0.16) – (0.16) – 28 8000 60
Eucarida 9.73 16 896 33 151 32 34 (16) – 28 10 566 60
Pericarida 3.47 32 8 315 (2) – (2) – 28 12 706 60
� � Phoronozoa 8.48 347
� Brachiopoda 8.55 5175 15 18 23 4 (15) – 8 335 44
� Phoronida 6.36 580 145 8 2 10 (2) – 16 12 48
� Syndermata –3.12 2700
� � Acanthocephala 2.13 8.4 8.4 413 1 358 (1) – 50, 51 900 48
� � Rotifera –5.74 0.0032 0.3 79 0.1 12 (0.1) – 54 1800 48
� � � Nemertea 5.46 234.38 75 70 2.5 55 (1.25) – 19 1149 20
� � � Mollusca 6.31 550 – – – – – 97 814 4 (iv)
Solenogastres 5.05 156 25 6 2.5 6 (2.5) – 35 180 4
Caudofoveata 4.00 54.7 35 3 1.25 3 (1.25) – 35 70 4
Polyplacophora 6.76 858 22 11 13 11 3 11 35 550 4
Cephalopoda 11.20 73 332 47 129 39.5 127 (39.5) – 61, 62 656 4
Prosobranchia 6.38 588 12 128 7 127 7 13 28 55 000 4
Opisthobranchia 5.40 221 20 124 4.7 124 (2.35) – 77 1000 4
Pulmonata 4.50 90.3 5 84 4.25 84 (4.25) – 9 20 000 4
Scaphopoda 1.58 4.86 6 7 0.9 7 (0.9) – 35 350 4
Bivalvia 7.91 2715 20 708 14 646 10 540 15, 49 20 000 4
� � � Sipuncula 6.62 750 30 273 5 118 (5) – 72 320 48
� Annelida 4.16 64.36 18 750 (v)
Polychaeta 6.17 480 60 220 4 23 (2) – 28 12 000 44
Oligochaeta 2.92 18.55 20 251 0.96 80 (0.96) – 82 6000 44
Hirudinea 6.27 529.39 35 84 5.5 16 (2.75) – 46 600 44
� Annelida 4.14 19 130 (vi)
� Annelida 4.14 18 890 (vii)
� � Gnathostomula –5.91 0.0027 0.759 31 0.06 31 (0.06) – 73–75 100 4
� � Echiura 10.35 31104 96 63 18 8 (18) – 72 140 44
� Pogonophora 1.34 3.81 72.1 60 0.23 62 (0.23) – 34 140 4
� � � Chaetognatha 4.22 67.92 23.5 20 1.7 20 (1.7) – 52 200 48
� � Cycliophora –5.43 0.0044 0.347 1 0.11 1 (0.11) – 17 1 17
� � � Ectoprocta –2.85 0.0576 0.64 253 0.3 241 (0.3) – 25–27, 65 4000 48
� � � Entoprocta –3.51 0.03 0.685 32 0.21 33 (0.21) – 47 150 48
� � � Gastrotricha –8.25 0.00026 0.16 181 0.04 146 (0.04) – 67 510 67
� Xenoturbellida 7.00 1098.5 26 2 6.5 2 (6.5) – 33 2 33
i. The total species richness for the vertebrates includes all species of Crocodylia (22), Sphenodon (2) and Chelonia (265), in addition to the species taxa listed above (Pough 2000).
ii. The total species richness for the echinoderms includes 2 species of Concentricycloidea (Rowe et al., 1988).
iii. The total species richness for the Arthropods includes, in addition to the taxa listed above, further species from the Merostomata (4) and Pycnogonida (1000) (Minelli, 1993),
Arachnida (9303) and Myriapoda (15096) (Adis, 2000), Crustacea (2672) (Reaka-Kudla, 2000) and Insecta (56230) (Brown, 2000).
iv. The total species richness for the Mollusca includes 8 species of Monoplacophora (Barnes et al., 1993).
v. The total species richness for the Annelida includes 150 species of Myzostomida (Eeckhaut et al. 2000).
vi. Includes Gnathostomula, Echiura and Pogonophora.
vii. Includes Echiura.
Body size among metazoan phyla 239
J . E V O L . B I O L . 1 5 ( 2 0 0 2 ) 2 3 5 – 2 4 7 ª 2 0 0 2 B L A C K W E L L S C I E N C E L T D
predicted by body size contrasts. We also used linear
regression, not through the origin, to test whether
species richness contrasts are predicted by the nodal
values of body size. A significant result indicates that
diversity is the greatest at an intermediate body size
(Gittleman & Purvis, 1998). Visual Basic for Applications
programs running within Microsoft Excel were used to
automate all the tests above, apart from the regression
through the origin which is calculated within Macro-
CAIC. R (Ihaka & Gentleman, 1996) was also used to
perform diagnostic plots on linear regressions.
Results
Simplification of the quadratic model showed that
neither ln(biovolume) nor [ln(biovolume)]2 are signifi-
cant predictors of ln(species richness) in the absence of
phylogenetic information. Diagnostic plots indicated that
the models were suitable for the data. The data are
plotted in Fig. 2(a), showing regression lines for the data
plotted, both including (solid line) and excluding (dot-
ted line) the Arthropoda (shown as a filled circle). The
lines shown are those for models using ln(biovolume)
alone; neither regression is significant, with P > 0.3 for
both data sets. Figure 2(b) shows the distribution of
body sizes amongst phyla and Fig. 2(c) shows the
approximate distribution of body size amongst species
from our data.
The variance in the scaled body size contrasts does not
vary markedly over the range of nodal body sizes for any
of the test phylogenies. However, the variance in RRD
increases slightly but significantly with Nt in all the full
analyses and in two (Zrzavy et al., 1998 and variant
D1M1L1) of the analyses with Arthropoda excluded. We
therefore prefer PDI as a species richness contrast in this
study as it shows no increase in variance with Nt, and so
report only results for PDI below. The results are
qualitatively identical if RRD is used instead of PDI in
the analysis.
Results of regression through the origin of PDI on
body size contrasts for all the test phylogenies are
shown in Table 2. None show any significant relation-
ship between body size and species richness, irrespect-
ive of whether the Arthropoda are included. The
standardized residuals show that outliers are never
greater than 2.87 SD from the predicted values and are
almost exclusively found at contrasts within the diplo-
blasts or at the base of the Bilateria. The results of the
regressions presented in Tables 2 and 3 do not change
qualitatively when contrasts from the bilaterian taxa
alone are used.
In addition, regressions of PDI against estimated nodal
body size show that there is no significant variation in
the relationship between body size and species richness
as body size varies (see Table 3). Again, the exclusion of
the arthropods from the analysis does not qualitatively
change our results.
Discussion
There are two key issues arising from our findings. The
first is the apparent discrepancy between the results
presented here and previous studies on the relationship
between body size and species richness. The second is the
robustness of our findings given both the analytical
approach and the data used. We address these points in
turn.
Fig. 2 (a) Scatterplot of ln(biovolume)(ln(B))in mm3 against
ln(number of described species) (ln(S))for the terminal taxa of the
composite phylogeny. The plot also shows regression lines for the
full data set [solid line – ln(S) ¼ 6.12 + 0.09.ln(B), P ¼ 0.35] and
with the Arthropoda (shown as a solid circle) omitted [dashed line )ln(S) ¼ 5.90 + 0.08. ln(B), P ¼ 0.38].
(b) Body size distribution of the phyla of the Metazoa, using the
terminal taxa from the composite phylogeny
(c) Approximate body size distribution of the species of the Metazoa,
calculated using the subtaxa in Table 1.
240 C. D. L. ORME ET AL .
J . E V O L . B I O L . 1 5 ( 2 0 0 2 ) 2 3 5 – 2 4 7 ª 2 0 0 2 B L A C K W E L L S C I E N C E L T D
Body size and species richness
Our study does not support any correlation between the
median body size of a phylum and the number of species
in that phylum, counter to statements either that the
smallest bodied taxa tend to be most diverse (Van Valen,
1973; May, 1986; Kochmer & Wagner, 1988) or that
diversity is highest in taxa of some median size (Dial &
Marzluff, 1988). Although a nonphylogenetic approach
can be criticized on grounds of the nonindependence
of the comparisons used, there remains a contradic-
tion between our findings and the robust ecological
observation that species richness decreases with increas-
ing body size (e.g. Hutchinson & MacArthur, 1959; May,
Table 2 Results of regression through the origin for PDI against body
size contrasts. N indicates the number of contrasts used to calculate
the regression coefficient (b) and the F ratio is therefore F2,N)1. The
number of positive (+) and negative (–) contrasts are indicated.
Phylogeny N + – b F p
Arthropods included
D1M1L1 18 8 10 –0.013 0.16 0.69
D1M1L2 21 9 12 –0.012 0.13 0.73
D1M1L3 21 10 11 –0.011 0.10 0.76
D1M1L4 26 15 11 0.004 0.02 0.89
D1M1L5 26 14 12 0.004 0.01 0.91
D1M2L1 18 8 10 –0.017 0.26 0.61
D1M2L2 21 9 12 –0.016 0.22 0.65
D1M2L3 21 10 11 –0.014 0.18 0.67
D1M2L4 26 15 11 0.001 <0.01 0.97
D1M2L5 26 14 12 <0.001 <0.01 0.99
D2M1L1 18 8 10 –0.014 0.16 0.69
D2M1L2 21 9 12 –0.012 0.13 0.72
D2M1L3 21 10 11 –0.011 0.10 0.75
D2M1L4 26 15 11 0.004 0.02 0.89
D2M1L5 26 14 12 0.004 0.01 0.91
D2M2L1 18 8 10 –0.017 0.27 0.61
D2M2L2 21 9 12 –0.016 0.22 0.64
D2M2L3 21 10 11 –0.014 0.19 0.67
D2M2L4 26 15 11 0.001 <0.01 0.98
D2M2L5 26 14 12 <0.001 <0.01 1.00
Zrzavy 30 16 14 0.006 0.03 0.87
Nielsen 27 12 15 –0.008 0.07 0.80
Arthropods excluded
D1M1L1 17 5 12 –0.038 1.48 0.24
D1M1L2 20 6 14 –0.037 1.39 0.25
D1M1L3 20 7 13 –0.035 1.29 0.27
D1M1L4 25 12 13 –0.018 0.33 0.57
D1M1L5 25 11 14 –0.018 0.37 0.55
D1M2L1 17 7 10 –0.036 1.38 0.26
D1M2L2 20 7 13 –0.035 1.30 0.27
D1M2L3 20 8 12 –0.034 1.20 0.29
D1M2L4 25 14 11 –0.017 0.29 0.59
D1M2L5 25 13 12 –0.017 0.32 0.57
D2M1L1 17 5 12 –0.038 1.49 0.24
D2M1L2 20 6 14 –0.037 1.40 0.25
D2M1L3 20 7 13 –0.035 1.30 0.27
D2M1L4 25 12 13 –0.018 0.34 0.57
D2M1L5 25 11 14 –0.019 0.37 0.55
D2M2L1 17 7 10 –0.036 1.39 0.26
D2M2L2 20 7 13 –0.036 1.30 0.27
D2M2L3 20 8 12 –0.034 1.21 0.29
D2M2L4 25 14 11 –0.017 0.30 0.59
D2M2L5 25 13 12 –0.017 0.33 0.57
Zrzavy 29 15 14 –0.009 0.08 0.79
Nielsen 26 13 13 –0.015 0.26 0.61
Table 3 Results of regression of PDI against the nodal values
calculated for each phylogeny. N indicates the number of contrasts
used to calculate the intercept (a) and regression coefficient (b) and
the F ratio is therefore F2,N)2
Phylogeny N a b F P
Arthropods included
D1M1L1 18 –0.08 0.01 0.27 0.61
D1M1L2 21 –0.04 –0.01 0.08 0.78
D1M1L3 21 –0.02 <0.01 0.02 0.88
D1M1L4 26 0.09 –0.01 0.17 0.68
D1M1L5 26 0.07 –0.02 0.74 0.40
D1M2L1 18 –0.09 0.02 0.43 0.52
D1M2L2 21 –0.05 <0.01 0.03 0.86
D1M2L3 21 –0.03 0.01 0.07 0.79
D1M2L4 26 0.08 –0.01 0.10 0.76
D1M2L5 26 0.07 –0.02 0.57 0.46
D2M1L1 18 –0.08 0.01 0.28 0.61
D2M1L2 21 –0.04 –0.01 0.08 0.78
D2M1L3 21 –0.02 <0.01 0.02 0.88
D2M1L4 26 0.09 –0.01 0.17 0.68
D2M1L5 26 0.07 –0.02 0.74 0.40
D2M2L1 18 –0.09 0.02 0.43 0.52
D2M2L2 21 –0.05 <0.01 0.03 0.87
D2M2L3 21 –0.03 0.01 0.07 0.79
D2M2L4 26 0.08 –0.01 0.09 0.76
D2M2L5 26 0.07 –0.02 0.56 0.46
Zrzavy 30 0.06 –0.01 0.25 0.62
Nielsen 27 –0.02 <0.01 0.04 0.85
Arthropods excluded
D1M1L1 17 –0.25 0.04 2.70 0.12
D1M1L2 20 –0.18 0.01 0.29 0.59
D1M1L3 20 –0.16 0.02 1.05 0.32
D1M1L4 25 –0.01 0.00 0.04 0.85
D1M1L5 25 –0.03 –0.01 0.07 0.79
D1M2L1 17 –0.12 0.03 1.04 0.32
D1M2L2 20 –0.13 0.01 0.09 0.77
D1M2L3 20 –0.10 0.02 0.60 0.45
D1M2L4 25 0.07 <0.01 0.00 0.96
D1M2L5 25 0.05 –0.01 0.27 0.61
D2M1L1 17 –0.25 0.04 2.71 0.12
D2M1L2 20 –0.18 0.01 0.30 0.59
D2M1L3 20 –0.16 0.02 1.06 0.32
D2M1L4 25 –0.01 <0.01 0.04 0.84
D2M1L5 25 –0.03 –0.01 0.07 0.79
D2M2L1 17 –0.12 0.03 1.04 0.32
D2M2L2 20 –0.13 0.01 0.09 0.77
D2M2L3 20 –0.10 0.02 0.60 0.45
D2M2L4 25 0.07 <0.01 0.00 0.96
D2M2L5 25 0.05 –0.01 0.26 0.61
Zrzavy 29 0.04 –0.01 0.08 0.77
Nielsen 26 –0.01 0.01 0.20 0.66
Body size among metazoan phyla 241
J . E V O L . B I O L . 1 5 ( 2 0 0 2 ) 2 3 5 – 2 4 7 ª 2 0 0 2 B L A C K W E L L S C I E N C E L T D
1986). As neither the body size distribution of the phyla
nor our approximate body size distribution for species
show the right skewed distribution expected from a
pattern of decreasing species number with body size, it is
perhaps unsurprising that our results contradict expec-
tations based on such a pattern. It could be argued,
however, that our data do show such a decline for body
sizes of greater than 4 mm3 and that the absence of
pattern below that size is the result of a bias in sampling
towards large bodied organisms (May, 1986), a point we
return to later in this discussion.
An alternative explanation is that small body size is
necessary but not sufficient for a radiation in species
numbers. Gardezi & da Silva (1999) found that diversi-
fication rates decreased significantly with increases in
body size among the lightest mammalian orders but not
among the mammals in general or among the remaining
heavier orders by themselves. The pattern that the
relationship between body size and species richness will
be most marked among lighter bodied subtaxa is consis-
tent with a model of body size evolution of passive
diffusion from a constrained minimum size (Gardezi & da
Silva, 1999). However, our analysis of estimated nodal
values shows no change in the relationship between
body size and species richness across the range of body
sizes: it is not the case that, in comparisons among the
very smallest lineages, larger-bodied clades are more
diverse. Our results also reject the existence of a single
intermediate optimum body size for the Metazoa, as
might be predicted by a reproductive fitness model like
that of Brown et al. (1993) and also by mosaic models of
the subdivision of the environment among taxa of
differing sizes (Hutchinson & MacArthur, 1959).
Although body size may well affect diversification rates,
ecological differences between all but closely related taxa
may obscure such effects. In the case of the Metazoa,
even such gross ecological factors as whether a taxon is
marine, freshwater, symbiotic or terrestrial vary both
within and between phyla (May, 1994).
Although we accept that the distribution of the median
body sizes within the phyla (Fig. 2b) is crude, it is clearly
bimodal. This could result from ecological differences:
Kirchner et al. (1980) suggest that bimodality in the
distribution of nematode body sizes is a result of
differences between vertebrate parasites and invertebrate
parasites. Alroy (1998) suggests that a similar pattern in
the body size of recent mammals may result from
evolution away from an unstable intermediate size.
Similar phylogenetic comparative studies examining
the relationship between body size and species richness
have found at best weak support for a correlation.
Gittleman & Purvis (1998) used species level phylogenies
of the Carnivora and Primates and found a significant
correlation only within the caniform carnivores. Other
studies, focusing on mammalian (Gardezi & da Silva,
1999) and bird (Nee et al., 1992; Owens et al., 1999)
family phylogenies and a phylogeny of hoverfly genera
(Katzourakis et al., 2001), have failed to find any consis-
tent correlation. The results presented here therefore
corroborate the general pattern emerging from phyloge-
netic comparative studies that there is no simple evolu-
tionary rule relating body size to species richness.
Analysis and data
The reliability of such studies is contingent on the
accuracy of the phylogenies used. The use of multiple
phylogenies in our analyses shows that our findings are
insensitive to several different proposals of the topology
of metazoan phylogeny and we believe that they are
therefore unlikely to be invalidated by further phyloge-
netic studies. A commonly perceived problem is that the
definition of the metazoan phyla is essentially arbitrary.
However, as independent contrasts are calculated
between sister taxa identified from a phylogeny, the
formal taxonomic level of groups under study is irrelev-
ant as long as the branching pattern is correctly identi-
fied. In addition, the calculation of contrasts at internal
nodes provides data about the relationship under study at
taxonomic levels higher than that of the terminal taxa.
The number of contrasts available would be increased by
using lower taxonomic levels (e.g. Class) as the terminal
taxa and might reveal correlations between body size and
diversity within, rather than between, phyla. Such an
analysis would, however, be considerably complicated
over questions of the phylogeny and monophyly of the
classes of the Metazoa.
Dates for the major steps in metazoan evolution are
currently a contentious issue, dictating our use of equal
branch lengths (Ackerly, 2000). Molecular estimates of
the date of the division between protostomes and
deuterostomes vary greatly, from around 1200 million
years ago (mya) (Wray et al., 1996) to 670 mya (Ayala
et al., 1998). The common palaeontological view that the
majority of the metazoan phyla arose at, or before,
the Cambrian may underestimate the later origin of the
crown groups now recognized as extant phyla (Budd &
Jensen, 2000), but it is clear that many metazoan phyla
are extremely old. Benton (1993) reports first fossil
representatives for 18 extant phyla that are older than
500 million years: branches leading to the terminal taxa
are therefore likely to be considerably longer than the
internal branches.
In contrast, the use of units reflecting morphological
disparity, rather than units of time, for branch lengths is
likely to lead to longer internal branches. Rates of
morphological diversification are typically concentrated
early in the history of many animal groups (Foote, 1996),
including the diversification of skeletal elements across
the Metazoa (Thomas et al., 2000). Given these problems,
we believe that equal branch lengths are an acceptable
assumption and that the availability of a reliably dated
phylogeny of the Metazoa would not qualitatively
change the results of our analysis. We would also expect
242 C. D. L. ORME ET AL .
J . E V O L . B I O L . 1 5 ( 2 0 0 2 ) 2 3 5 – 2 4 7 ª 2 0 0 2 B L A C K W E L L S C I E N C E L T D
the outliers in our contrast plots to be from comparisons
between tips if our use of equal branch lengths under-
estimated terminal branch lengths (Purvis & Webster,
1999) whereas, in fact, we find that outliers represent
comparisons at deeper branches.
Our body size data is drawn from a wide range of
sources and, where morphological diversity dictates,
incorporates detail of size differences within phyla. As
discussed above, we are constrained to a phylum level
analysis by the availability of suitable phylogenies and
hence to the use of a single measure of body size for each
of the metazoan phyla, concealing within-phylum vari-
ation in body size. The same, however, is true for any
estimate of a central tendency and we see no reason why
our estimation of median phylum body sizes would show
a consistent bias.
Perhaps a more intractable problem of the approach
used here is the reliance on numbers of described species
(Purvis & Hector, 2000). Our analyses hold true as long as
the relative diversities of these phyla remain the same but
some phyla are considerably less well known than others
(Hawksworth & Kalin-Arroyo, 1995). Perhaps the most
serious problem lies in the diversity estimates of marine
fauna. The largest estimate of total marine diversity is that
of Grassle & Maciolek (1992) who, based on extrapolation
from boxcore samples of deep (1500–2500 m) benthic
communities off the east coast of the USA, predicted
upward of 10 million species of marine Metazoa. Later
work suggests that the sampling area used by Grassle &
Maciolek (1992) may not be representative of all latitudes
(Gage & May, 1993; Rex et al., 1993) or, indeed,
comparable latitudes (Poore & Wilson, 1993) and that
the estimate uses inaccurate assumptions about species
replacement across global gradients (May, 1992). It
nevertheless seems likely that species number estimates
for the marine taxa are likely to be greater underestimates
than those for terrestrial taxa. In particular, it seems
certain that the described diversity of the Nematoda is
highly unrepresentative of their true diversity. Hawks-
worth & Kalin-Arroyo (1995) estimate that the diversity
of the chordates is known to within a factor of two, the
arthropods and molluscs to within a factor of five but that
the diversity of nematodes is only known to within a
factor of 10. Neither Grassle & Maciolek (1992) nor Rex
et al. (1993) report nematode diversities from their
sampling but Lambshead (1993) has estimated a total
diversity of marine nematodes of up to 1 · 108 species.
This exceeds even the larger estimates of total arthropod
diversity, e.g. 1.5 · 107 species (Odegaard et al., 2000).
Another concern is that, within a taxon, the larger
species are generally described first leading to a decrease
in modal size and an increase in skew as more species are
described (Blackburn & Gaston, 1994a). This may mean
that our species richness estimates of the smallest bodied
phyla are systematically biased; certainly the
most recently described phyla, Cycliophora (Funch &
Kristensen, 1995) and Loricifera (Kristensen, 1983), are
only some hundred microns in length. Unfortunately, we
have no earlier estimate with which to compare our
distribution of body sizes. The closest is May’s (1986)
estimate of the distribution of terrestrial animals which
uses length as a metric; however, our study includes both
marine and terrestrial organisms and uses volume.
One possible solution is to use a randomization
procedure to resample species richness from within a
range of estimates of total diversity for each phylum. In
the absence of methodical estimates of total diversity for
the majority of phyla, however, it is not apparent that
this approach would introduce anything except noise
into our analyses. Another possibility is to systematically
inflate described species numbers for the phyla based on
some measure of the ease with which new species can be
detected. Unfortunately it is difficult to propose a metric
other than body size itself; an approach which is
evidently circular.
Phylogenetically independent contrasts have been
used to investigate putative correlates of species richness
other than body size. Such studies have revealed signi-
ficant correlates of species richness across a range of
organisms including: sexual dimorphism (Barraclough
et al., 1995; Owens et al., 1999), generalist feeding habits
and dispersal capabilities (Owens et al., 1999) in birds;
sexual selection and diet breadth in hoverflies
(Katzourakis et al., 2001); rates of genetic change in
flowering plants (Barraclough et al., 1996); and latitude
in birds and butterflies (Cardillo, 1999). Given the success
of this approach in revealing other correlates of species
richness, we feel that the, at best, weak support for a
correlation between species richness and body size at a
wide range of scales indicates a genuine lack of any strong
general relationship between diversification rate and size.
Acknowledgments
We especially thank Armand Leroi for constructive
criticism and help during the course of this research.
We thank Kate Jones and Rob Belshaw for insightful
comments on versions of the manuscript and Nick Isaac,
Paul Agapow and Paul Harvey for advice and help with
MacroCAIC and for access to their unpublished simula-
tion studies. We also thank two anonymous referees for
helpful and constructive comments on the manuscript.
This work is supported by funding from the Natural
Environment Research Council to CDLO (GT04/98/MS/
154) and AP (GR3/11526).
Supplementary Material
The following material is available from http://
www.blackwell-science.com/products/journals/suppmat
/JEB/379/JEB379sm.htm
Appendix
Body size among metazoan phyla 243
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