Nordic Society Oikos The Relationship between Population Density and Body Size: The Role of Extinction and Mobility Author(s): Bo Ebenman, Anders Hendenstrom, Uno Wennergren, Borje Ekstam, Jan Landin, Tommy Tyrberg Source: Oikos, Vol. 73, No. 2 (Jun., 1995), pp. 225-230 Published by: Blackwell Publishing on behalf of Nordic Society Oikos Stable URL: http://www.jstor.org/stable/3545912 Accessed: 07/01/2010 03:26 Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. 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Copenhagen1995 The relationship between population density and body size: the role of extinction and mobility Bo Ebenman, Anders Hedenstrom, Uno Wennergren, Borje Ekstam, Jan Landin and Tommy Tyrberg Ebenman,B., Hedenstrom,A., Wennergren, U., Ekstam,B., Landin,J. andTyrberg,T. 1995.Therelationshipbetweenpopulationdensityandbodysize:theroleof extinction and mobility.- Oikos 73: 225-230. Therelationshipbetweenabundanceandbodysize is the subjectof considerabledebate in ecology. Herewe presentnew dataon the relationshipbetweenpopulationdensity andbody massfor flightlessbirds.Unlikeflyingbirds,flightlessbirds(andmammals) show a strong negative relationshipbetween populationdensity and body mass. Densitydecreasesas the -1.40 powerof bodymass,whichis significantlysteeperthan in flyingbirds.Thisdifferenceis mainlydueto a realabsenceof smallspecieswithlow populationdensitiesin flightlessbirds.Smallpopulationsof small-bodiedspeciesmay notbe ableto persistunlesssustainedby immigration. Thehighmobilityof flyingbirds may allow even small local populationsof small-bodiedspecies to persistthrough supplyof immigrants,andthuscan explainthe weakrelationshipbetweenabundance and body size for this groupcomparedto thatof flightlessbirds(andmammals). B. Ebenman, U. Wennergren, B. Ekstam and J. Landin, Dept of Biology, Univ. of Linkoping, S-581 83 Linkoping, Sweden. - A. Hedenstr6m, Dept of Ecology, Theoretical Ecology, Lund Univ., Ecology Building, S-22362 Lund, Sweden. - T. Tyrberg, Kimstadv. 37, S-61020 Kimstad, Sweden. A number of qualitative patterns have been documented, linking body size, abundance and distribution of species (Gaston and Lawton 1988a,b, May 1988, Brown and Maurer 1989). Especially, the relationship between population density and body mass has received considerable attention (Damuth 1981, 1987, Peters and Wassenberg 1983, Peters and Raelson 1984, Brown and Maurer 1986, 1987, Juanes 1986, Robinson and Redford 1986, Lawton 1989, 1990, Blackburn et al. 1990, Marquet et al. 1990, Carrascal and Telleria 1991, Nee et al. 1991, Cotgreave and Harvey 1992, Griffiths 1992, Blackburn et al. 1993a,b, Cotgreave 1993, Currie 1993, Blackburn and Lawton 1994). In spite of a growing literature,it has been difficult to reach a concensus about the patterns and causes of size-abundance scaling. Damuth (1987) proposed that population density scales to body mass with a slope of -0.75 (log-scale), implying that all species use the same amount of energy, since metabolic rate scales to body mass with a slope of 0.75. Peters (1983) suggested that population density scales to body mass with a slope of -1, implying that all species attain the same biomass (but see Damuth 1994). However, it has been argued that these relationships between body mass and population density may only define the upper bound of a distribution, with many species falling below (Brown and Maurer 1986, 1987). Explanations for a negative relationship between abundance and body mass based on arguments about per capita use of resources (Peters 1983, Damuth 1987) apply to maximum densities only, while the overall relationship will depend on the entire distribution;both on maximum densities (upper bound) and minimum densities (lower bound). The lower bound needs not to be parallel to the upper bound. Although it may not be unreasonable to expect that the upper bound is set by energetic constraints (Blackburn et al. 1992, but see Blackburn et al. 1993b), Accepted20 December1994 Copyright? OIKOS1995 ISSN 0030-1299 Printedin Denmark- all rightsreserved 15 OIKOS 73:2 (1995) 225 there is no consensus about the causes behind the lower bound, although the problem has been discussed (Peters 'I) and Raelson 1984, Brown and Maurer 1987, Morse et al. 0) 1988, Lawton 1989, 1990, Cotgreave 1993). 7C) a, As has been pointed out by Lawton (1990) there also 0 exists a dichotomy in patterns of size and abundance. 0) 0 Thus, local ecological assemblages from one habitat of0 C) ':i:i:::!: ten show a weak negative relationship between size and Lo body::size 0) ig-b::: abundance while compilations of data from many taxa and different geographical locations often show a strong Log body size negative relationship (see also Currie 1993). In global compilations of data of mammals both the C upper and lower bound of the distribution are negative 105 and the overall relationship is highly significant (Damuth 1981, 1987, Peters and Wassenberg 1983, Peters and . Raelson 1984, Robinson and Redford 1986, Arita et al. 104 1990, Silva and Downing 1994) (Fig. 1A). Moreover, the pattern found for the combined data of all mammals o0 0 seems to reflect that found within habitat types (Damuth CO 3 11981). A note of caution is in place here. It has been suggested (Brown and Maurer 1986, see also Lawton E 1989) that there may be a bias in the mammal data sets, in - * 102. 2 that small and rare species may be underrepresented, i 0 the lower bound to be negative (but see Currie . causing .t:o S 1993, Silva and Downing 1994). On the other hand, for flying birds even pooled data from large areas show a .5 weak relationship between population density and body size (Brown and Maurer 1986, 1987, Juanes 1986, Cot0 Q..A, 1U greave and Harvey 1992, Blackburn et al. 1993a). The * 0 upper bound of the distribution declines with increasing body mass, whereas the lower bound is approximately horizontal (Fig. iB). An exception to this pattern are 10-1birds of prey which show a strong negative relationship 102 100 101 10o10-2 between abundance and body size (Newton 1979). Body mass (kg, log-scale) There is one evident difference between birds and mammals - the extraordinarymobility of birds stemming Fig. 1. (A) The principalshapeof a log-log plot of population from their ability to fly - that we expect will influence the densityvs body size for mammals.(B) The same as in (A) but for birds.The positiveslope of the upperboundfor very small relationship between population density and body mass, speciesis uncertainandmaybe a samplingphenomenon.Notea especially the slope of the lower bound (minimum densimore or less horizontallower bound in (B) comparedto a ties). parallelupperandlowerboundin (A). (C) Populationdensityvs data(slope bodymassforflightlessbirdson log-logtransformed >1 B A :s. I = -1.40; slope s.e. = 0.20; intercept = 5.70; r2 = 0.76; n= 17; P<0.001). Note the absenceof smallspecieswith low densities in flightlessbirdscomparedto flying birds.The statisticalerror variancein body massfor individualspeciesis smallrelativeto Methods the rangeof body mass studied,thusjustifyingstandardlinear regression.The species in decreasingorderof body mass and Given the possible bias in the mammal data (but see Currie 1993, Silva and Downing 1994), we have comsources are: Struthio camelus (Brown et al. 1982); Casuarius casuarius johnsonii (Crome 1976); Dromaius novaehollaniae piled data on abundances and body masses for 17 species (Campbelland Lack 1985, Marchantand Higgins 1990); Pte- of flightless birds (sources are given in the legend to Fig. rocmenia tarapecensis (Blake 1977, Fjeldsa pers. comm.); Pte1) in order to investigate the effects of mobility. The rocmenia pennata garleppi (Blake 1977, Cajal 1988); Apteryx haasti (Marchant and Higgins 1990); Notornis mantelli (Reid pooled data of flightless birds includes even the rarest and Stack 1974, Ripley 1977); Apteryx australis scotti (Colspecies. Actually, many of the flightless species, both boure and Kleinpaste 1983, 1984); Strigops habroptilus (Best small and large ones, that have been studied are endemic and Powlesland 1985); Apteryx ovenii (Marchant and Higgins and rare. There is no reason to believe that the species 1990); Gallinula mortieri (Ripley 1977); Gallirallus australis included have been sampled in a way that would bias the (Brothers and Skira 1984, Beauchamp 1987); Rollandia micropterum (Livezey 1989, Fjeldsa pers. comm.); Anas aucklandica estimated slope of the size-abundance relation. Thus, (Johnsgard 1978, Weller 1975); Gallirallus sylvestris (Recher even if low-density populations in marginal or suboptiand Clark 1974, Ripley 1977); Dryolimnas cuvieri (Penny and mal habitats were under-represented, such under-repreDiamond 1971); Atlantisia rogersi (Ripley 1977). 226 OIKOS 73:2 (1995) Table 1. Regressionanalysesof log populationdensity(ind./km2)on log body mass (g) for birds.Slopes are given with (standard P is the level of significanceof the slope (ns = not significant);n is samplesize; hyphen error);r2is the coefficientof determination; = values unknown. Group Flying birds Flying birds Slope Intercept r2 Range(g) P n Sourcee -0.19 (0.14) -0.089 (0.03) 1.36 - 0.03 0.019 10-4000 3-10470 ns 0.01 60 380 1 2 - 2 2 0.001 0.001 0.001 ns ns 0.001 0.001 564 437 147 77 70 206 47 3 4 5 5 5 5 6 0.001 0.001 0.001 112 97 17 467 -0.66a Ob Flying birds Flying birds Flying birdsc Passerinesc Non-pass.c Swedishbirds Passerines -0.49 (0.04) -0.60 -0.75 (0.16) -0.14 (0.36) -0.19 (0.27) -0.771(0.12) -0.50 (0.13) Farmlandbirdsd Woodlandbirdsd Flightlessbirds Mammals -0.475 (0.12) -0.489(0.12) -1.40 (0.20) -0.78 (0.03) 0b - - 1.96 5.64 5.04 3.98 1.42 0.18 0.15 0.14 0.002 0.007 0.179 0.26 5.70 4.06 0.125 0.149 0.76 0.64 - - 3-4536 3-10000 5-10000 5-1000 20-10000 6-160 _ -0.001 37-107000 5-3160000 6 7 7 8 9 aestimated slope of the upperbound(maximumpopulationdensities)of the distribution. b estimated slope of the lower boundof the distribution. c regionaldensities (all otherdataare basedon ecologicaldensities). counts. edterritory 1, PetersandWassenberg1983;2, BrownandMaurer1987;3, Juanes1986;4, CotgreaveandHarvey1992;5, Nee et al. 1991; 6, Carrascaland Telleria1991;7, Blackburnet al. 1993a;8, this study;9, Damuth1987. sentation would be expected to be independent of body size. (A systematic under-representationof populations in marginal/suboptimal habitats independent of body size will bias the estimated intercept but not the slope). We have not included colony breeding species (e.g. penguins) because of difficulties in estimating ecological densities for such species. As our measure of abundance we used ecological densities, which is the densities in areas actually occupied by the species (Damuth 1987). For two of the large species where density estimates were available from more than one population we used the arithmetic mean. Averaging reduces the representation of the lowest densities. However, averaging has only been done for two large species which anyhow have low densities. Body masses for males and females are often different and therefore the average masses of the sexes were used in cases of significant sexual dimorphism. The body masses of the species span over a range of approximately four orders of magnitude, comparable to that of flying birds. Results The overall slopes documented for flying birds vary between -0.60 and -0.09 and the regressions are characterized by low coefficients of determination (r2 values) (Table 1). (Analyses based on regional densities - densities in a specified geographical area, e.g. Great Britain tend to give steeper slopes for flying birds. For instance, Nee et al. (1991) found that for British birds abundance 15* OIKOS 73:2 (1995) across all species declines with the -0.75 power of body mass, conforming to the slope shown by mammals. However, the significantly negative relationship between size and abundance in British birds arises because of a difference between passerines and non-passerines. Neither within the passerines nor within the non-passerines alone, is there any evidence of any association between abundance and body mass (see also Blackburn et al. 1994). Moreover, if ecological densities (species distributions from Sharrock 1976) are used, abundance of British birds declines with a -0.58 power of body mass (our calculations), which approach the slopes reported for other flying birds). Compared to flying birds, flightless birds have a narrower distribution in the size-abundance space with a size-dependent lower bound (no small species with low densities, Fig. 1C). Density decreases as the -1.40 power of body mass (linear regression on log-transformed data; r2=0.76, 95% confidence interval of the slope = [-1.83, -0.97], p < 0.001). The slope is significantly steeper than those found in flying birds (Peters and Wassenberg 1983, Juanes 1986, Brown and Maurer 1987, Blackburn et al. 1993a) (non-overlapping 95% confidence limits). In fact, the patternfound in flightless birds is more similar to that found in mammals than to that of flying birds. It is unlikely that the differences between flying and flightless birds is due to biased sampling (see above). The strong negative relationship between size and abundance in flightless birds is most likely explained by a real absence of small-bodied species with low population densities. It has been shown that phylogeny may influence the 227 relationship between body mass and abundance (Nee et al. 1991, Cotgreave and Harvey 1992, 1994, Blackburn et al. 1994). Thus, treating species as independent observations may cause problems with the interpretationof comparative data. For instance, the relation within individual taxa may be different from the overall pattern across all species. Within taxa the relationship may even be positive. Moreover, it has been shown that taxonomically distinct tribes of birds (low degree of genetic relatedness to other tribes) and tribes which radiated from a common ancestor a long time ago (high degree of genetic divergence within the tribe) are more likely to show a positive relation (Nee et al. 1991, Blackburn et al. 1994, Cotgreave and Harvey 1994). The number of species of flightless birds in our data set is too low for making regressions for individual taxa. However, based on information in Sibley and Ahlquist (1990) and Cooper et al. (1992), we have corrected for phylogeny in the whole data set of flightless birds (treating Dromaius/Kasuaris, Struthio, Pterocmenia, Apteryx, Rallidae, Rollandia, Anas and Strigops as individual independent data points, i.e. 8 data points). This correction for phylogeny does not change the general pattern. There is still a strong and significantly negative relationship between population density and body size (slope = -1.44, r2= 0.70, p< 0.01, df= 6, linear regression on the log-transformed means of the constituent taxa). The strong relationship shown by flightless birds is neither an artefact of small species living on isolated islands and large ones living on continents, i.e. an island/ mainland effect. We have performed separate regression analyses on island and mainland species. Both show a strong and significantly negative relationship between population density and body mass (slopes: -1.58 and -1.09, respectively) with relatively high r2 values (0.57 and 0.79, respectively). (Differences in slopes and intercepts were not significant [ANCOVA; note, however, that the sample size is small]). Discussion There are basically two arguments for a negative slope of the lower bound, both based on the concept of minimum viable population size: geographical range and hence total population size increases with body size (Brown and Maurer 1987, Arita et al. 1990) and/or population size variability decreases with increasing body size (Gaston and Lawton 1988a,b, Lawton 1989, 1990). Both causes will reduce the vulnerability to extinction for populations of a given density/size (Leigh 1981, Karr 1982, Goodman 1987, Schoener and Spiller 1987, Lande 1993), which suggests that the lower bound should have a negative slope. The second argument hinges on the assumption that low population density implies low population size for small-bodied species (Lawton 1990). However, numerical analyses of a stochastic population growth model 228 by Belovsky (1987) suggest that the risk of extinction is more sensitive to population variability than to population size. Thus, in mammals a 10-g species has a shorter expected persistence time than a 106-g species even if its population size is nearly 100 times larger than that of the large-bodied species. Several studies are consistent with the hypothesis that, for a given population size, small-bodied species are often more vulnerable to extinction than large-bodied ones (Peters and Raelson 1984, Belovsky 1987, Soule et al. 1988, Pimm et al. 1988, Gotelli and Graves 1990, Tracy and George 1992) although other factors may also be important (see Tracy and George 1992). Another factor that may lead to a negative slope of the lower bound (minimum densities) are the difficulties for individuals of small-bodied species to find mates when population densities are low, especially in species with low mobility (Morse et al. 1988, Lawton 1989). On balance, theoretical considerations suggest negative slopes for both the upper and the lower bound of the size-abundance distribution. The patterns shown by flightless birds and mammals are consistent with this prediction. Why, then, have flying birds a size-independent, horizontal lower bound? For a given mass a flying bird can disperse much longer per unit of time and at a lesser cost per unit of distance than a running animal (Peters 1983: chapter 6, Calder 1984: chapter 7). Moreover, flight velocities are less sensitive to body mass than are running speeds (Peters 1983, Calder 1984). The high mobility of flying birds may allow even small local populations of small-bodied species to persist through supply of immigrants (the rescue effect, see also Lawton 1989), leading to the observed constancy of minimum population densities over the entire range of body sizes, which in turn can explain the weak overall relationship between abundance and body size for this group. On the other hand, if dispersal abilities are poor, like in flightless birds or mammals, small-bodied species that have low population densities will not be able to persist, because the low rate of immigration, caused by low mobility, cannot keep up with the rate of local extinction. Dispersal between local populations may also have a stabilizing effect on the dynamics of the local populations, which will tend to decrease the extinction risks of the local populations further (McCallum 1992, Hastings 1993, Stone 1993). It can be added that both flightlessness and isolation (e.g. living on isolated "islands") should affect dispersal and hence the persistence of small populations in the same negative way. Therefore, terrestrial flying birds living on isolated "islands" should show a similar sizeabundance patternas flightless birds, i.e. no small-bodied species with low population densities. Some studies indicate that this might be the case (Faaborg 1982, Soule et al. 1988). - We thankT. 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