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ARTICLE IN PRESS Basic and Applied Ecology 5 (2004) 435—448 www.elsevier.de/baae Explaining the global biodiversity gradient: energy, area, history and natural selection John R.G. Turner School of Biology, University of Leeds, Leeds LS2 9JT, England, UK KEYWORDS Climate change; Neutral theory; Species-energy theory; Speciation rate; Metacommunity; Topography; Ecological niche; Competition; Extinction; Latitude Summary Hubbell’s neutral theory of biodiversity is used to investigate the decline in species richness from the tropics to the poles. On this basis, biodiversity should correlate with productivity or climate (there is strong statistical evidence for this), with the latitudinal width of the continents (insufficiently investigated as yet), and with the speciation rate (which may not vary in such a way as to produce a planetary gradient). According to the neutral, model biodiversity will vary with the area of the ‘‘metacommunity’’: it is suggested that at higher latitudes species disperse most readily east–west, within their climatic belt, but that the relatively uniform temperature across the intertropical belt allows isotropic dispersal there. Metacommunities within the tropics may therefore be an order of magnitude larger than those at other latitudes. This could explain the extra bulge in the gradient in the tropics. It is further possible that long-term and cyclical climate change generates a tropic-pole gradient. Niche assembly models will also explain tropical biodiversity, but the enhanced division of habitat may be the result, not the cause, of the species richness. The neutrality–competition debate in ecology closely parallels the neutrality–natural selection debate in evolution and may be equally hard to resolve. & 2004 Elsevier GmbH. All rights reserved. Zusammenfassung Hubbells neutrale Theorie der Biodiversität wird genutzt um den Rückgang des Artenreichtums von den Tropen zu den Polen zu untersuchen. Auf dieser Basis sollte die Biodiversität mit der Produktivität oder dem Klima (es gibt überzeugende statistische Beweise dafür) korrelieren, mit der Ausdehnung der Kontinente in geografischer Breite (bisher unzureichend untersucht) und mit der Artbildungsrate (welche möglicherweise nicht in der Weise variiert, als dass sie einen planetarischen Gradienten erzeugen kann). Dem neutralen Model entsprechend wird die Biodiversität mit dem Areal der ‘‘Metagemeinschaft’’ variieren. Es wird behauptet, dass sich Arten in höheren Breiten Tel.: +44-113-343-2828; fax: +44-113-343-2835. E-mail address: [email protected] (J.R.G. Turner). 1439-1791/$ - see front matter & 2004 Elsevier GmbH. All rights reserved. doi:10.1016/j.baae.2004.08.004 ARTICLE IN PRESS 436 J.R.G. Turner am leichtesten innerhalb ihres klimatischen Gürtels in Ost–West-Richtung ausbreiten, dass aber die relativ gleichmäXige Temperatur des innertropischen Gürtels dort eine isotrope Ausbreitung erlaubt. Metagemeinschaften in den Tropen können daher um eine GröXenordnung gröXer sein als in anderen Breiten. Dies könnte die zusätzliche Ausdehnung des Gradienten in den Tropen erklären. Es ist darüber hinaus möglich, dass langfristige und zyklische Klimaveränderungen einen Gradienten von den Tropen zu den Polen generieren. Modelle der Nischenanordnung erklären ebenfalls tropische Biodiversität. Die verstärkte Habitataufteilung könnte jedoch das Ergebnis und nicht der Grund des Artenreichtums sein. Die Neutralitäts–Konkurrenz-Debatte in der Ökologie ähnelt sehr der Neutralitäts–Selektions-Debatte in der Evolution und mag ähnlich schwer zu lösen sein. & 2004 Elsevier GmbH. All rights reserved. Introduction The observation that the tropics hold more species than higher latitudes (Fig. 1), stemming from Forster and Humboldt in the late eighteenth century, is probably the oldest observed ecological pattern (Forster, 1778; Hawkins, 2001; Gould, 2002a; Hillebrand, 2004). Talking to colleagues over the last 20 years, I have found widespread agreement that we understand the cause of this planetary biodiversity gradient. The vigorous disagreement is over which of the many postulated causes are actually responsible (for reviews, see Pianka, 1966; Rohde, 1992; Huston, 1994; Rosenzweig, 1995; Turner, Lennon, & Greenwood, 1996; Willig, Kaufman, & Stevens, 2003; Whittaker, Willis, & Field, 2003). What follows is a critical analysis of some of them. It is based on the premise that to be a potentially valid explanation a theory must be ‘‘dynamically sufficient’’: it should show how the factor(s) thought to control the gradient influence species richness through the fundamental processes of species birth (speciation), species death (global extinction), and species migration Figure 1. The biodiversity gradient, exemplified by the species richness of birds, in a random sample of 206 quadrats of 48,400 km2 on five continents. The dashed lines are the two Tropics. From Turner and Hawkins (2004), data from Hawkins et al. (2003a). (expansion of range and local extinction). Thus the popular theory that higher latitudes are species poor because species that were displaced to lower latitudes by glaciation have not all yet returned to their original latitude is dynamically sufficient; statements that there are more species at low latitudes because it is warmer, or because ecological niches are narrower, are not in themselves dynamically sufficient. I will argue that a dynamic theory working ‘‘bottom up’’ from Hubbell’s neutral theory (Hubbell, 2001) provides a very satisfying way of considering the various candidate mechanisms and suggests novel ways of testing some of them. I will also suggest an explanation for the marked and rather surprising ‘‘shoulders’’ of the gradient (Fig. 1), a pattern seen also in other groups (e.g. Clarke & Crame, 2003). Striping the planet We commence with a suggestion of Terborgh (1973) and Rosenzweig (1992, 1995) that we should consider the area of the whole planet, or more particularly the area of a latitudinal zone. They pointed out that tropical diversity could at least in part be explained by the greater area of the tropical belt, compared with other latitude belts of analogous depth, first because the north and south tropical belts are joined at the equator whereas other analogous belts are separated by the tropics, and second because the planet is wider at the equator than at the poles (Fig. 2a). There is however a lightly concealed further assumption in this argument, that there is something non-arbitrary about latitude. It is easy enough to see this by drawing the belts in another way, based on the Greenwich meridian (or any other great circle) and predicting a zone of greatly enhanced biodiversity from Cape Town to Reykjavik, with species-poor areas in Java and Ecuador (Fig. 2b). ARTICLE IN PRESS Explaining the global biodiversity gradient 437 Figure 2. Planetary area and biodiversity. (a) High latitudes have smaller areas than the tropics, a smaller overall regional diversity, and a smaller local diversity (circles represent species). (b) If the difference in local diversity is purely the result of area, then we can also predict that meridians, and other great circles, should produce bands of high diversity, and that their ‘‘poles’’ should have low diversity. Instinctively, one knows that this reductio ad absurdum contains a fallacy, involving latitude, climate, and the distribution of biomes (Blackburn & Gaston, 1997; Ruggiero, 1999; Hawkins & Porter, 2001). The trouble is that biomes are defined by morphology: the fact that a tropical forest has much the same physiognomy in Indonesia as in Amazonia cannot be fed into a dynamically sufficient model that depends on the birth and death rates of species. The privileging of latitude has to arise from the way species, not organism morphologies, are distributed. Turner and Hawkins (2004) suggest that the diffusion of species is more rapid east–west than north–south. It is a commonplace of horticulture and agriculture that plants can be successfully moved across the planet within their climatic belt (between for instance temperate China, North America, Chile and Europe) but only with great difficulty and under artificial climate control between different belts (arctic alpines and tropical species have to be grown under glass in temperate climates). This fact was well known to mediaeval herbalists and is even used as a metaphor in the Paradiso (canto viii) in the fourteenth century (translation by Sinclair, 1939). Other environmental factors change, on average, isotropically; thus they resist range expansion equally to all points of the compass, while climatic temperature — and less clearly rainfall — will stripe the planet because alone of all factors it has a strong north–south gradient. Further, it is plausible that the major factor limiting the distribution of individual species is indeed the climate, as shown by the success of climatic envelopes in describing the limits of distribution (Woodward & Kelly, 2003), or the fact that the environmental factors with the strongest influence on the presence or absence of individual species of British birds are climatic, with both winter rainfall and summer temperature being strongly directional (Lennon, Greenwood, & Turner, 2000). The neutral theory of biodiversity The Unified Neutral Theory of Biodiversity (Hubbell, 2001) makes an elementary (in the mathematical sense) statement of the problem, how does diversity relate to birth, death and migration? The null assumptions are that although individuals compete, species are all identical in competitive ability and in individual life expectancy. If they are plants, they completely cover the ground, so that gaps appear only with the death of individuals. These gaps are then colonised by propagules chosen randomly from all the species in the ‘‘community’’ (defined as the population within the dispersal distance of individual propagules). There is thus a continual random replacement of individuals, resulting in steady ‘‘ecological drift’’ toward the eventual random extinction of all but one of the species. Species diversity will be maintained at a dynamic equilibrium between this loss of species by drift and the birth of new species (in the simplest form of the theory, by chromosomal or genetic mutation) (see Maurer & McGill, 2004, for a further exposition). A group of communities which can exchange individual migrants in the long term is now defined as a ‘‘metacommunity’’. The simplest case is an archipelago with each island being a constituent ARTICLE IN PRESS 438 J.R.G. Turner community. A species that has originated in one community may thus enter a different community, and a locally extinct species may eventually reappear. The equilibrium between the loss of species by ecological drift and their creation by speciation, is then described by y ¼ 2JN n; (1) y ¼ 2rAn; (2) where y is the ‘‘fundamental biodiversity number’’, JN is the total number of individuals (irrespective of species) in the metacommunity, n is the rate of speciation, r is the population density (the number of individuals per unit area of all species combined), and A is the area occupied by the metacommunity. The fundamental biodiversity number is a dimensionless variable incapable of direct physical representation. It can be used to predict such things as the species-abundance curve and, to our purpose, the species richness. This last calculation, which is algorithmic, depends on three further factors: the time of search or observation, the area sampled, and the rate of migration between communities, which governs the form of the species–area curve (Hubbell, 2001). The first two are purely matters of sampling, but the third is clearly a relevant biological parameter. As a first approximation, we can think of y as highly correlated with species richness, and note that Hubbell’s theorem predicts that species richness will therefore be proportional to overall population density, the area of the metacommunity, and the speciation rate, with a further modulation arising from the rate of long-term species migration between communities. In turn, the overall density of organisms is likely to be dependent on productivity, along with various modifying influences. All these factors may change over the very large scales that are needed to produce planetary gradients in biodiversity. Productivity and climate The idea that climate, in particular its energetic elements, influences biodiversity, first proposed by Forster and Humboldt, surfaced again in the late twentieth century (Hutchinson, 1959; Brown, 1981; Wright, 1983; Turner, 1986; Turner, Gatehouse, & Corey, 1987; Currie & Paquin, 1987). Slightly misleadingly this is known as the ‘‘species-energy’’ theory. The proposal is simple: productivity and temperature are likely to be major influences on the number of organisms and hence on the equilibrium number of species (Eqs. (1) and (2)). In a meta-analysis of terrestrial biodiversity gradients extending over a minimum 800 km linear distance (small-scale studies were excluded), Hawkins et al. (2003b) found that in 82 of 85 studies the leading explanatory variable was some measure of productivity, water availability, or energy. This accounted for an average of over 60% of the variance in diversity. Similar results are found in marine environments (Turner & Hawkins, 2004). Naturally, a variety of other factors also explain significant parts of the variance. Both these metaanalyses are deliberately biased, in that studies which had not entered climatic factors into the initial variable set were excluded: the point is that when these factors are included, they overwhelmingly remain among the significant factors, and then overwhelmingly explain the lion’s share of the variance. This is consistent with the predictions of the neutral theory. Further detailed correlations lend support to the belief that the relationship between climate and species richness may be relatively direct. Thus the species-energy hypothesis comes in two forms, only recently recognised as distinct. The better-known productivity hypothesis (Wright, 1983) claims that the rate of energy fixation by photosynthesis governs the growth, performance and hence diversity of plants, then of herbivores, and so of all the further links in the food chain. Biodiversity can then be predicted by a combined water-energy model (O’Brien, 1998), supported by the empirical correlation of species richness with AET (Whittaker et al., 2003). The ambient energy hypothesis (Turner, 1986; Turner et al., 1987) suggests that diversity is controlled directly by the effect of climate on the individual organism. The reproduction and feeding of ectotherms is more efficient when it is warm and sunny, and much the same is true of endotherms: when it is cold they have to burn energy to maintain their body temperature; in warm weather more of this energy is put to other uses such as reproduction (Turner, Lennon, & Lawrenson, 1988; Currie, 1991). Both hypotheses seem to be correct, depending on the latitude: productivity, water availability, or such combined measures of water and energy as AET give the best predictions of biodiversity at low latitudes, whereas direct measures of energy, such as temperature or PET are the best at high latitudes; the changeover, which can be mapped for butterflies and for birds in the northern hemisphere, is around 501 (Hawkins et al., 2003b). This is consistent with what we know of ecophysiology: at low latitudes biological activity is limited by the ARTICLE IN PRESS Explaining the global biodiversity gradient water supply, in the midst of plentiful energy. At high latitudes temperature, especially in the winter, limits activity, and in general there is no critical shortage of water. Further, among endotherms at high latitudes the lightest species should be most sensitive to temperature (on account of surface-volume ratios), and if the ambient energy theory is correct migrating birds should show correlations only with the appropriate seasons. In Britain, there is some evidence that indeed the species richness of winter visitors depends directly on winter temperature, of summer visitors less certainly on summer (but not on winter) temperature, and of year round residents on both seasons, but this effect is detectable only among the lightest birds (Turner et al., 1988); it cannot be found clearly among heavier birds, or in the set of all weights combined (Turner et al., 1996; Lennon et al., 2000). Further, birds in winter are able to withstand night temperatures well below freezing, provided they can build up enough fat during the day to maintain their body temperature during their night-long fast (Newton, 1969). They are therefore dependent on a food supply which is mostly the result of summer productivity, banked in winter as seeds or diapausing invertebrates. There is indeed a correlation between the diversity of birds in winter and the summer temperature; even winter visitors, which never experience a British summer, show this relationship (Turner et al., 1996; Lennon et al., 2000). Such direct physiological explanations are strongly suggestive of a direct casual link between climate and biodiversity, but indirect links are also possible. It is strictly shown only that species are adapted to the climate at their native latitude and that there is some mechanism which ensures that the number of species adapted to a particular climatic regime is strongly related to its energy (Turner, 1986). The mechanism which generates such a correlation may or may not be the link postulated in the neutral theory. There is indeed a curious anomaly in this part of the theory. Biodiversity is predicted to increase with the number of individuals, or, factoring out area, with population density. But it is an axiom of the theory itself that the habitat is permanently saturated with individuals, and that therefore their overall density cannot change. If we avoid this by assuming that there are at all times unoccupied gaps in the environment, then the rate of species replacement through ecological drift is reduced (Huston, 1979). This is a problem that requires resolution within the neutral model itself. 439 Area Area has a venerable history as an explicator of biodiversity, commencing with Forster (1778), then Arrhenius (1921), MacArthur and Wilson (1967), Terborgh (1973), and Rosenzweig (1995). The neutral theory explains explicitly how it exercises this influence: species richness should be proportional to the area of the metacommunity (Eq. (2)). This is defined as the distance over which a species can spread from its point of origin before it becomes extinct or speciates. If we accept that dispersal is predominantly east–west, this could be the full width of a band across the continental landmass or the watermass, taken at the latitude of the sample point. As we have no idea how deep to make this transect, the best mathematical approximation will be simply the infinitesimal area represented by the width (Turner & Hawkins, 2004). Clearly for any group in which the metacommunity is actually narrower than the landmass, there should be no diversity–width correlation, but otherwise neutral theory predicts a direct correlation between landmass width and the species richness. Because a centrally placed community receives species both from the east and the west, its metacommunity size is greater than that of a community located on the coast: it should therefore be possible to detect a form of mid-domain effect (Colwell & Lees, 2000), with diversity dropping somewhat near the east and west coasts. Several studies have examined area alongside climate. Wright’s classic study of world islands did find a joint correlation of richness with climate and land area (Wright, 1983), but as the richness was measured from the whole island, not from a sample quadrat, the sample area is confounded with the metapopulation area, which may itself be smaller or greater than the island, according to its size and isolation. The same problem occurs in the studies of Wylie and Currie (1993) on islands, and of Oberdorff, Hugueny, and Guégan (1995, 1997) on river basins. To confirm the relationship predicted by the neutral theory, it is necessary to keep the sample area constant, and then to put an estimate of the continental area into the multivariate analysis (Rosenzweig, 2003). In the only study of this type, the peninsular width of Great Britain, clearly far too small a scale of measurement, was not a significant predictor for birds (Turner et al., 1988). There is one tantalisingly suggestive near-miss: it is known that the latitude gradient of mammal diversity in North America is strongly related to productivity (Badgley & Fox, 2000), and the same is likely to be true of South America. When the gradients of North and South America are corrected ARTICLE IN PRESS 440 for the latitudinal width of these continents, the gradients become the same (Kaufman, 1995). Otherwise, simultaneous analysis of area along with climate has been singularly rare, with climate studies omitting area (e.g. Lennon et al., 2000), and area studies omitting climate (e.g. Blackburn & Gaston, 1997). In the few studies that have investigated diversity world wide, for the very well-known groups such as birds, flowering plants and freshwater fish, it is found that the continents tend to have their own characteristic levels of diversity, independently of productivity (Adams & Woodward, 1989; Oberdorff et al., 1995; Hawkins, Diniz-Filho, & Porter 2003a). One telling study allows us to relate this, in an elementary way, to area: among related groups of vascular plants in North America and the adjacent parts of eastern Eurasia, the Asian plants are shown to have a higher species richness than their North American counterparts (Qian & Ricklefs, 1999). This could well be the result of the much greater latitudinal width of Eurasia compared with North America. But area by itself cannot explain the planetary gradient, at least for terrestrial species, as the continental masses (except for Africa and America in the southern hemisphere) do not taper in the requisite way, and in the northern hemisphere there is a dramatic increase in area north of the Aleutian islands, where Eurasia and North America become effectively a single land mass (Rohde, 1998; Turner & Hawkins, 2004). It is a fair proposition that the climatic gradient produces the planetary diversity gradient, and that the characteristic gradient and overall diversity of each continent is produced by an effect of its area and shape (Rosenzweig, 2003). J.R.G. Turner see this by considering the angle of the incident radiation at the equinox). At this level, climate and area are strictly colinear, raising the prospect that the species-energy correlation is the secondary outcome of a species–area relationship. The colinearity is however reduced (as well as by the irregular shapes of the land masses) by the transport of heat toward the poles by the oceans and atmosphere, greatly raising the arctic temperature and converting the cosine curve to an effectively linear gradient from the Tropics of Capricorn or Cancer toward the polar regions. This gradient has a rather flat top between the two Tropics, produced at least for non-arid areas by the increased cloudiness around the equator (Fig. 3) (Terborgh, 1973; Rosenzweig, 2003). Much the same flat topped gradient is shown by ocean surface temperature. The shape of this graph, whether a cosine curve or flat, has a profound effect on our estimate of the area of the metacommunity at tropical latitudes. It is easiest to see this if we rescale temperature so that, on average, between Tropic and Pole the temperature reduces by 11 for every degree of latitude (Fahrenheit approximates this). A temperate species which through physiological, behavioural and genetic adaptation can occupy a range of say 101 above and below the temperature at its latitude of origin, is confined to a belt 201 deep in one or other hemisphere. The latitudinal range of Interaction of climate and area It is possible, given a long enough time span, that the whole latitudinal width of the planet could appear as a factor in the dynamics of biodiversity: for mammals, birds and flowering plants on land bridge islands, world-wide, after the energy and the area of the local island are taken into account, there remains a small residual correlation of diversity with latitude itself (Wylie & Currie, 1993). The appropriate test would be a regression not on latitude but on the cosine of the degrees of latitude, which is an elementary function for latitudinal circumference. But by the same elementary trigonometry, the flux of energy reaching the earth, per unit area of surface, also declines directly with the cosine of latitude (it is easiest to Figure 3. An explanation of higher tropical diversity. The graph shows the general shape of the planetary temperature gradient: flat within the tropics (dashed lines) and linear at higher latitudes (based on Terborgh, 1973; Rosenzweig, 2003). The shaded areas represent two species with an equal range of temperature tolerance: the tropical species has a much greater latitudinal range than the temperate species. This greatly increases the relative area of metacommunities in the tropics. ARTICLE IN PRESS Explaining the global biodiversity gradient widespread bird species in Eurasia appears to be around 201 (Harrison, 1982). Because of the flattened gradient of temperature within the tropics, an analogous tropical species potentially occupies the whole of the tropical zone, plus subtropical belts 101 to the north and the south, a distribution of a startling 661 of latitude (Fig. 3). The butterfly Heliconius erato spans nearly 601 between Buenos Aeres and Sinaloa (Turner, 1971). The neutral theory thus throws into sharp relief Terborgh’s (1973) suggestion that the effective area of the tropics is greater by an order of magnitude than that of other latitude belts of comparable depth. Thus with recolonisation occurring predominately east–west, the metacommunity at high latitudes has an area largely dependent on the width of the land or oceanic mass; recolonisation within the tropics is isotropic, meaning that the whole intertropical area of land or water has prima facie to be accounted as the area of the metacommunity. In this great effective area of the tropics we have a good explanation for the peculiar shape of the diversity gradient in Fig. 1: that it is linear at the higher latitudes, but with a pronounced hump between the two Tropics. How to fit this consideration into a multivariate investigation is a puzzle. What we need to know is roughly the depth of a metacommunity, and hence the potential temperature-range tolerance, of species at higher latitudes, and then their potential latitude range in the intertropical region. These factors could then be used to estimate land or ocean area in the tropics and in other latitude belts. It would also be valuable to split studies of diversity in relation to area and climate into separate analyses of the relationship inside and outside the intertropical zone. The barriers to distribution created by the subtropical arid zones are likely to confuse the analysis. 441 far from clear whether it might produce the latitudinal gradient. Speciation might be higher in the tropics because in warmer climates generation times are shorter, leading to faster evolution of all sorts, including speciation (Rohde, 1992). It is also likely that sister species originating in allopatry, become sympatric only after their niches have become somewhat different, usually by becoming narrower: shorter generation times and more rapid evolution will result simultaneously in both greater per area diversity and narrower ecological niches. However the neutral equilibrium depends on a balance between speciation and extinction measured on the same time scale, and as extinction by drift depends on the death of individuals, it follows that its rate is governed by the generation time, not by absolute time. As speciation must also be reckoned per generation, the effect of shortening generations at higher temperatures will be cancelled out, and warmer climates will not be more species-rich. There is therefore a need for theories which suggest how speciation and extinction might operate on different time-bases. Dynesius and Jansson (2000) modelled a difference in the rate of allopatric speciation: at high latitudes, species are selected not only to be ecological generalists, but to have high individual vagility, so restricting the possibilities for isolation. Alternatively, if environmental fluctuation is responsible for extinction, then this will cause the extinction rate to be measured in absolute time, so that other things being equal shorter generation times would alter the equilibrium between extinction and speciation in favour of greater diversity in the tropics. Topographic relief Speciation rate There is little doubt that speciation rate influences species richness, a prediction made, if not uniquely, by the neutral theory. If speciation is not by point mutation but by allopatric fission or the budding of peripheral populations, the mathematical solution (Eqs. (1 and 2)) becomes more complex and algorithmic, but the principle remains (Hubbell & Lake, 2003). But while variation in speciation rate must surely influence the diversity of different taxa and possibly of different continents (different topography and history giving different rates of allopatry — McGlone, 1996), it is An apparent effect of allopatric speciation rate on large-scale species richness patterns is the repeatedly found correlation between richness and ‘‘relief’’, usually measured as the range of elevation: it has long been known that crinkly areas of the planet have more species (Humboldt in Gould, 2002a; Simpson, 1964; Richerson & Lum, 1980; Badgley & Fox, 2000; O’Brien, Field, & Whittaker, 2000; Hawkins & Porter, 2003a; Hawkins et al., 2003a). This is readily explained as a consequence of the argument so far. During climatic fluctuations, montane species must be repeatedly forced up and down the mountain ranges, splitting into allopatric populations on separate peaks, and then becoming ARTICLE IN PRESS 442 sympatric again in warm periods (Hewitt, 1996). Additionally, mountainous areas contain many climatic zones, thus compressing what are in effect different latitudinal biota into one quadrat; north and south facing slopes, because of differences in direct solar heating on the microclimate, have biota that on a planar surface would be several hundred kilometres to the north and south (thus again compressing several zones into one quadrat); mountains allow shorter distance migration when climate changes; and a crinkly quadrat has a greater real area than a planar one (a 451 average slope increases the area by 40%), producing an apparently greater richness as an artefact of drawing quadrats with a constant map area (O’Brien et al., 2000; Whittaker et al., 2003; Turner & Hawkins, 2004). However, in the reverse direction, mountain ranges are also sinks for species extinction during periods of warming. The finding (Rahbek & Graves, 2001; Turner & Hawkins, 2004) that the correlation between richness and relief is strong at low latitudes and is not detectable at high latitudes, supports both of the first two suggestions. First, allopatric speciation will tend to be ineffective at high latitudes because the biota are not so much moved up and down by glaciations, as removed altogether. Second, the compression of climatic belts will be less at high latitudes: tropical mountains embrace rain forest to permanent snow, Alaskan mountains embrace tundra to permanent snow, and Antarctic mountains are just permanent snow. Conversely, as the north–south slope effect cannot occur at the equator, this explanation would lead to topography having an increased effect on diversity at higher latitudes, which is the reverse of what is observed. If this factor operates, it must be weaker than the others. Because the effect of relief is to increase diversity at low latitudes by introducing highlatitude species, it is vital to factor out relief in multivariate analyses. Migration within the metacommunity While y is expected to correlate strongly with the three factors of Eq. (2), the species richness will further depend on the area and time-duration sampled, and on the rate of migration within the metacommunity (via the form of the species–area relationship and the rate of sympatry) (Hubbell, 2001). It is too early to say whether variation in this last factor does or might contribute to the planetary gradient in species richness. The latitudinal pattern of diversity does change with quadrat J.R.G. Turner size in British birds (Lennon, Koleff, Greenwood, & Gaston, 2001; Koleff & Gaston, 2002), but the fundamental power parameter of the species–area curve explains very little of the variation in the diversity of neotropical owls (Diniz-Filho, Rangel, & Hawkins, 2004). Migration between zones Migration between zones happens in two different, but readily confused ways: first a species may spread into a new climatic zone, and hence into a new latitude belt; second, the climate zones may change their positions, taking all or some of the species with them into new latitudes. Even if dispersal is mainly east–west, there must over time be some leakage or ‘‘bleeding’’ from one climatic belt to another as species adapt and spread to new regimes (Rosenzweig, 2003). If the direction of this leakage is biased, it will produce a latitudinal diversity gradient, in one direction or the other. There seems to be no conclusive information on this point. Sax (2001) showed that successful aliens tend to expand their ranges more toward the poles than to the tropics compared with their native range, but any recent data on species spread is necessarily confounded by the effects of global warming: species are currently spreading north but not south (Parmesan et al., 1999). It has reasonably been suggested that tolerance to frost or to supercooling requires abnormal levels of adaptational change (perhaps in many genes simultaneously), so that spread poleward is inhibited in the long term (Latham & Ricklefs, 1993); in that case we might expect the ‘‘shoulders’’ of the gradient to be further away from the tropics than is observed (Fig. 1). Further, we do not know how few gene changes may be required to produce antifreeze, and it is possible that it is just as hard for a high-latitude species to spread to warmer climates, for instance by abandoning diapause. We do not therefore know whether bias in leakage is expected to produce a gradient toward or away from the tropics. Equal migration in both directions clearly will not produce a gradient, but will tend to reduce the angle of any gradient produced by other factors. There are two interesting consequences. If the tropics have, for any reason whatsoever, a greater diversity, then the majority of species and of clades on the planet, at all latitudes, will be found to have originated in the tropics, as indeed is widely believed by evolutionary biologists (Jablonski, 1993). Proving that the tropics are the powerhouse of evolution thus tells us nothing of the mechanism ARTICLE IN PRESS Explaining the global biodiversity gradient behind the diversity gradient. However, suppose that area alone generates the latitudinal gradient (‘‘interaction of climate and area’’ above) with no further input from climate. In northern hemisphere America we could expect to see a shouldered gradient with a huge bulge of species in the tropics, like that in Fig. 1, but then with a roughly constant level of diversity, irrespective of latitude, right up to the arctic. The effect of leakage will then be to smooth the gradient by a net pouring of species out of the tropics, and if such species become randomly extinct on the way, this will give the gently sloping gradient we observe from the Tropic of Cancer toward the pole — the ‘‘tropical overspill’’ effect of Rosenzweig (1992). As a result, there will be a diffusion gradient of species closely paralleling the diffusion gradient of heat energy, and in temperate latitudes there will be a clear correlation between diversity and climate produced simply by the coincidence of the two gradients. Prima facie the whole pattern can be explained by climate, area, and overspill. These results are considerably modified if there are long-term changes in the climatic gradients. It is widely believed that the northern latitudes of Europe are still below equilibrium because species displaced by the most recent glaciation have not yet returned. This must mean, if they are not extinct or prevented from occupying their climatic envelope, that they still occupy climatic refuges at low latitudes. This could indeed apply to those alpine species which are absent in the arctic, and could be tested by comparing their numbers with those of arctic species which are not present in the low-latitude mountains. If mutualism increases species richness (below), then previously glaciated areas will be poorer because whereas an independent species may readily colonise an empty habitat, species bound together by mutualism can only arrive when they migrate together (the ‘‘maturation’’ of ecosystems — McGlone, 1996; Rohde, 1998). If the narrowing of niches (below) and the evolution of mutualism are by slow evolution, then perhaps the relatively young biota of high latitudes simply have not had enough time to reach equilibrium. However, multivariate analyses usually reject ‘‘glaciated versus non-glaciated’’ or even ‘‘time ice-free’’ as a significant influence on species richness (Currie & Paquin, 1987; Turner et al., 1988; Adams & Woodward, 1989; Latham & Ricklefs, 1993; Oberdorff et al., 1997; Francis & Currie, 1998; Ricklefs, Latham, & Qian, 1999). Exceptionally, in North America time ice-free does account for a significant minority of the variance of mammal and bird diversity (Hawkins & Porter, 2003c). 443 More generally, it seems likely that during periods of rapid climatic change, such as have accompanied both the advance and the retreat of the ice caps, many species become globally extinct because they fail to change their range to match the moving climate, an effect now predicted during the present climatic warm-up (Thomas et al., 2004). Provided that the climatic change is of lower effective amplitude at lower latitudes, this will have the effect of reducing biodiversity at high latitudes. In the longer term, the planet has cooled fairly steadily since the beginning of the Eocene (Clarke & Crame, 2003). Particularly if there is an evolutionary stalling point in developing resistance to frost, it may be that the steepening of the climate gradient which probably accompanied the cooling has selectively exterminated species and clades at higher latitudes, and that adaptation and then speciation have not yet brought the biodiversity of these latitudes back to equilibrium (Latham & Ricklefs, 1993). Effectively the high latitudes are new habitats, and their age is colinear with their temperature. Habitats Habitat diversity correlates with species richness, as shown for both birds and butterflies by using landcover classes derived from satellite scans (Lennon et al., 2000; Kerr, Southwood, & Cihlar, 2001). This may be a tautology (Turner & Hawkins, 2004). If a ‘‘habitat’’ is the subvolume of ecological space occupied by a species, then the number of habitats, correctly observed, would exactly equal the number of species. The empirical correlation of less than 100% tells us only the relative lack of success our satellites have had in identifying the components of the real habitats. The empirical correlation tells us nothing about the maintenance of species richness. Commencing with the neutral theory suggests a more interesting conclusion. If we assume that the ground is occupied by two separate but equal communities of species, each with completely different ecological requirements, then the members of community A can never colonise a gap in community B, and vice versa (it is easiest to imagine an area occupied by a mixture of land and water). If the total number of individuals per unit area is the same as in the simple case, the rate of loss of species by ecological drift will be reduced. However, this does not lead to any change in biodiversity. If the whole environment is divided into the two equal exclusive metacommunities, then the number of individuals in each is half of ARTICLE IN PRESS 444 what it would be in a unified metacommunity, so that from Eq. (1) the value of y for each is halved. However, the total value of y for the area sampled is the sum of the individual community values, which is exactly what one would get in an undivided habitat (say ytotal=ya+yb=2Jan+2Jbn=2n(Ja+Jb)=2JNn, where a and b denote the separate communities). Thus under neutral theory, division of the environment into exclusive (or of course partly exclusive) habitats will not increase the sampled biodiversity. I will qualify this conclusion later. It is a common assertion that some types of habitat are richer in species. This clearly does account for small- to medium-scale patterns in species richness: Lennon et al. (2000) confirmed that bird species richness in summer was higher in woodland, and lower in urban areas and ploughed land, which is not surprising as agricultural land in Britain is a partial wildlife desert. In winter, the effect of urban areas was reversed: town gardens are a substantial source of food for birds (Toms, 2003). How far particular natural habitat types, as ordinated by us, may be richer or poorer in species is an interesting question in itself, and may explain finer-scale patterns of richness. The differences between structurally complex and structurally simple habitats could be subsumed into a question of area: at most body sizes, the relevant fractal area of the surface of a woodland is considerably greater than the surface area of a grassland. Niche assembly The old version of the dynamic theory, the equilibrium theory of island biogeography, which underlay the original species-energy theory (Turner et al., 1996), had no means of incorporating competition. One of the outstanding advances of the neutral theory is that competition — equal between all species — is directly incorporated (Hubbell & Lake, 2003). Hence the above finding that diversity is invariant with subdivision into exclusive habitats changes completely if competition is unequal between species. Take the limiting case that in any one community there is one particular species which invariably out-competes all others. In an undivided environment there is eventually only that one species. In an environment divided into exclusive habitats, in which species cannot be out-competed by species from the other habitats, there will be as many species as there are habitats (or fewer if exclusion is only partial). This is an important result in showing that unequal competition causes habitat division to increase species richness. J.R.G. Turner This theorem produces immediately a dynamic basis for the common belief that if ecological niches are narrower, more species can be packed into the resource hyperspace. In general, reduced competition (provided it is unequal), either by increased specialisation or by intermediate levels of disturbance (Huston, 1979), as well as by increased mutualism, will increase species richness above the neutral expectation. Although hard to quantify, it does indeed seem to be the case that species in the tropics show more ecological specialisation and more mutualism. What the theorem does not explain is how it comes about that tropical organisms divide their environment in this way more than species at higher latitudes. It could be that the division is the consequence, not the cause, of the increased richness (Turner et al., 1996). As the ratio of species to individuals increases, there is a hyperbolic increase in the proportion of interactions that are interspecific — in neutral theory this proportion is 1(y+1)1 (see e.g. Maynard Smith, 1989, p. 146) — and therefore in the strength of natural selection in favour of avoiding interspecific competition. Extinction risk is affected not merely by mean population size but, more, by minimum population size. If the coefficient of variation in population size over time is lower in the tropics, or if the relevant environmental fluctuations are less frequent, then species with the same mean population size are at higher risk of extinction at high than at low latitudes. Thus a high-ranking species in the tropics has a larger population size — and lower extinction risk — than a species of the same rank at high latitude, and the distribution of species abundances becomes fatter in the tail in the tropics. This accords with the observation that tropical biomes tend to be less dominated by their commonest species than are high-latitude biomes, thus deviating significantly from the distribution predicted by the neutral theory (Hubbell & Lake, 2003). This model therefore generates not only higher species richness in the tropics and the reduction in single species dominance, but the narrowing of ecological niches. Thus suppose that there are five host plant species, whose population fluctuations over time are relatively uncorrelated. One polyphagous and five monophagous species depend on the five hosts. Clearly, in a fluctuating environment the monophagous species are at a higher risk of extinction than the generalist. If, as is widely believed, the high latitudes have environmental fluctuations of greater amplitude, this gives them not only a lower species richness but a lower percentage of specialist species. Thus the species richness and the greater specialism of the tropics ARTICLE IN PRESS Explaining the global biodiversity gradient are not causes one of the other, but stem from a third cause, the amplitude or frequency of environmental change (Connell & Orias, 1964). Empirical testing will encounter the question of what is the appropriate time base, and how one weighs variance in rainfall against variance in temperature: in theory one needs the intergeneration variance, which is on a different base for different organisms. The measure used in analyses is currently the intra-annual variation, or in more general discussions the very long-term variation associated with Milankovitch glacial cycles. Intraannual variability in temperature has been shown to predict species richness (Andrews & O’Brien, 2000), but not often, perhaps because it is not often entered into analyses. It has long been postulated that herbivore, if not overall animal, diversity would be affected by plant diversity, this being a clear prediction if individual plant species constitute the niches of animal species. Surprisingly the most thorough test of this, for phytophagous insects, showed no correlation between plant and butterfly richness, neither for polyphagous nor more surprisingly for monophagous species (Hawkins & Porter, 2003b). Discussion It seems that every time a mechanism for the regulation of species richness has been found or proposed, an argument is produced to show how it could make the tropics more species rich. However, some mechanisms are clearly likely to lead only to local variations in richness, with no systematic global distribution (Whittaker et al., 2003). If one can argue convincingly that, say, intermediate disturbance leads to higher diversity (Huston, 1979) one does not have to suppose that the theory succeeds only if it can then be shown that tropical environments are more disturbed. The factor may simply not be involved in generating the large-scale gradient. Some mechanisms, like the north–south slope effect noted above, might even lead to a reverse gradient. There is a suspicious shortage in the literature of theories predicting lower tropical diversity. The development of the neutral theory of biodiversity has made very plain the close similarities in structure between evolutionary and ecological theory (see e.g. Turner, 1992). The mathematical theorems are almost identical — the term 2Nem in evolutionary theory (Maynard Smith, 1989) is the exact analogue of y and could be called ‘‘the fundamental heterozygosity num- 445 ber’’ — but the processes act at different levels of organisation: the organism and the ecosystem. Thus one theory deals with genes, the other with species, but both invoke the same three processes: random drift, mutation (known in ecology as speciation), and competition (known in evolutionary theory as natural selection). In both theories there are phenomena — respectively, individual adaptation and the self-regulating biosphere (Lovelock, 1979) — which can be explained only by the selective process (natural selection or competition). In evolutionary theory, there is a long running and vigorous dispute over the role of selection relative to the other two processes (Provine, 1986; Gould, 2002b): the ‘‘universal Darwinist’’ view is that selection is a process of such strength as to obliterate any patterns that might be created by mutation and drift (e.g. Clarke, 2004). The analogous view in ecology is that unequal competition obliterates all patterns that random drift and speciation create in ecological communities. But the neutral theory is not open to rejection merely because there are patterns in biodiversity which it does not predict or explain. Such a simplistic rejection would be the equivalent of rejecting Newton’s first law of motion on the very sound empirical grounds that satellites and planets do not travel in straight lines and that objects accelerate when dropped and decelerate when rolled across the floor. The real task is the much harder one of finding how much of the pattern is selective and how much is random. Among the major gradient-generating mechanisms, it is extremely difficult to disentangle primary causes and direct casual connections from secondary causes and indirect causal links. The massive correlation of diversity with climate argues for a strong causal link, but we have still to deal with the problems of the colinearity of climate with area (particularly with the uniqueness of the tropics shown in Fig. 3) and with evolutionary time. The theory of niche assembly is even more complex and therefore much harder to test. It is likely that we now possess the correct explanation for the global biodiversity gradient. The only problem is to work out which of the proposed mechanisms this actually is. If the example of evolutionary theory can be relied on, we can still expect a prolonged debate. Acknowledgements My gratitude and thanks to Brad Hawkins, Richard Field, Doug Futuyma, Chris Thomas, Jeremy ARTICLE IN PRESS 446 Greenwood, Jean-Franc-ois Guégan, Fiona Proffitt and a (sadly anonymous) referee. References Adams, J. M., & Woodward, F. I. (1989). Patterns in tree species richness as a test of the glacial extinction hypothesis. Nature, 339, 699–701. Andrews, P., & O’Brien, E. M. (2000). Climate, vegetation, and predictable gradients in mammal species richness in southern Africa. Journal of Zoology, 251, 205–231. Arrhenius, O. (1921). Species and area. Journal of Ecology, 9, 95–99. Badgley, C., & Fox, D. L. (2000). Ecological biogeography of North American mammals: species density and ecological structure in relation to environmental gradients. Journal of Biogeography, 27, 1437–1467. Blackburn, T. M., & Gaston, K. J. (1997). The relationship between the geographic area and the latitudinal gradient in species richness in New World birds. Evolutionary Ecology, 11, 195–204. Brown, J. H. (1981). Two decades of homage to Santa Rosalia: toward a general theory of diversity. American Zoologist, 21, 877–888. Clarke, A., & Crame, J. A. (2003). The importance of historical processes in global patterns of diversity. In T. M. Blackburn, & K. J. Gaston (Eds.)., Macroecology: concepts and consequences (pp. 130–154). Oxford: Blackwell Science. Clarke, B. (2004). Non-synonymous polymorphisms and frequency-dependent selection. In R. Singh, & M. Uyenoyama (Eds.)., Evolution of population biology: beyond the modern synthesis (pp. 178–200). Cambridge: Cambridge University Press. Colwell, R. K., & Lees, D. C. (2000). The mid-domain effect: geometric constraints on the geography of species richness. Trends in Ecology and Evolution, 15, 70–76. Connell, J. H., & Orias, E. (1964). The ecological regulation of species diversity. American Naturalist, 98, 399–414. Currie, D. J. (1991). Energy and large-scale patterns of animal- and plant-species richness. American Naturalist, 137, 27–49. Currie, D. J., & Paquin, V. (1987). Large-scale biogeographical patterns of species richness in trees. Nature, 329, 326–327. DinizFilho, J. A. F., Rangel, T. F. V. L. B., & Hawkins, B. A. (2004). A test of multiple hypotheses for the species richness gradient of South American owls. Oecologia, 28, 633–638. Dynesius, M., & Jansson, R. (2000). Evolutionary consequences of changes in species’ geographical distributions driven by Milankovitch climate oscillations. In: Proceedings of the National Academy of Sciences USA, 97, 9115–9120. Forster, J. R. (1778). Observations made during a voyage round the world, on physical geography, natural history and ethic philosophy. G. Robinson, London. J.R.G. Turner Francis, A. P., & Currie, D. J. (1998). Global patterns of tree species richness in moist forests: another look. Oikos, 81, 598–602. Gould, S. J. (2002a). I have landed: the end of a beginning in natural history. New York: Harmony Books. Gould, S. J. (2002b). The structure of evolutionary theory. Cambridge, MA: Boston, Belknap Press of Harvard University Press. Harrison, C. (1982). An atlas of the birds of the western Palaearctic. London: Collins. Hawkins, B. A. (2001). Ecology’s oldest pattern? Trends in Ecology and Evolution, 16, 470. Hawkins, B. A., Diniz-Filho, J. A., & Porter, E. E. (2003a). Productivity and history as predictors of the latitudinal diversity gradient of terrestrial birds. Ecology, 84, 1608–1623. Hawkins, B. A., Field, R., Cornell, H. V., Currie, D. J., Guégan, J.-F., Kaufman, D. M., Kerr, J. T., Mittelbach, G. G., Oberdorff, T., Porter, E. E., & Turner, J. R. G. (2003b). Energy, water, and broad-scale geographic patterns of species richness. Ecology, 84, 3105–3117. Hawkins, B. A., & Porter, E. E. (2001). Area and the latitudinal diversity gradient for terrestrial birds. Ecology Letters, 4, 595–601. Hawkins, B. A., & Porter, E. E. (2003a). Water-energy balance and the geographic pattern of species richness of western Palearctic butterflies. Ecological Entomology, 28, 678–686. Hawkins, B. A., & Porter, E. E. (2003b). Does herbivore diversity depend on plant diversity?: The case of California butterflies. American Naturalist, 161, 40–49. Hawkins, B. A., & Porter, E. E. (2003c). Relative influences of current and historical factors on mammal and bird diversity patterns in deglaciated North America. Global Ecology and Biogeography, 12, 475–481. Hewitt, G. M. (1996). Some genetic consequences of ice ages, and their role in divergence and speciation. Biological Journal of the Linnaean Society, 58, 247–276. Hillebrand, H. (2004). On the generality of the latitudinal diversity gradient. American Naturalist, 163, 192–211. Hubbell, S. P. (2001). The unified neutral theory of biodiversity and biogeography. Princeton, NJ: Princeton University Press. Hubbell, S. P., & Lake, J. K. (2003). The neutral theory of biodiversity and biogeography, and beyond. In T. M. Blackburn, & K. J. Gaston (Eds.)., Macroecology: concepts and consequences (pp. 45–63). Oxford: Blackwell Science. Huston, M. (1979). A general hypothesis of species diversity. American Naturalist, 113, 81–101. Huston, M. A. (1994). Biological diversity. Cambridge, UK: Cambridge University Press. Hutchinson, G. E. (1959). Homage to Santa Rosalia or Why are there so many kinds of animals? American Naturalist, 93, 145–159. ARTICLE IN PRESS Explaining the global biodiversity gradient Jablonski, D. (1993). The tropics as a source of evolutionary novelty through geological time. Nature, 364, 142–144. Kaufman, D. M. (1995). Diversity of New World mammals: universality of the latitudinal gradients of species and Bauplans. Journal of Mammalogy, 76, 322–334. Kerr, J. T., Southwood, T. R. E., & Cihlar, J. (2001). Remotely sensed habitat diversity predicts butterfly richness and community similarity in Canada. Proceedings of the National Academy of Sciences USA, 98, 11365–11370. Koleff, P., & Gaston, K. J. (2002). The relationship between local and regional species richness and spatial turnover. Global Ecology and Biogeography, 11, 363–375. Latham, R. E., & Ricklefs, R. E. (1993). Global patterns of tree species richness in moist forests: energy-diversity theory does not account for variation in species richness. Oikos, 67, 325–333. Lennon, J. J., Greenwood, J. J. D., & Turner, J. R. G. (2000). Bird diversity and environmental gradients in Britain: a test of the species-energy hypothesis. Journal of Animal Ecology, 69, 581–598. Lennon, J. J., Koleff, P., Greenwood, J. J. D., & Gaston, K. J. (2001). The geographical structure of British bird distributions: diversity, spatial turnover and scale. Journal of Animal Ecology, 70, 966–979. Lovelock, J. E. (1979). Gaia: a new look at life on earth. Oxford: Oxford University Press. MacArthur, R. H., & Wilson, E. O. (1967). The theory of island biogeography. Princeton, NJ: Princeton University Press. Maurer, B.A., McGrill, B.J. (2004). Neutral and nonneutral macroecology. Basic and Applied Ecology, 5, in this issue. Maynard Smith, J. (1989). Evolutionary genetics. Oxford: Oxford University Press. McGlone, M. S. (1996). When history matters: scale, time, climate and tree diversity. Global Ecology and Biogeography Letters, 5, 309–314. Newton, I. (1969). Winter fattening in the bullfinch. Physiological Zoology, 42, 96–107. O’Brien, E. M. (1998). Water-energy dynamics, climate, and prediction of woody plants species richness: an interim general model. Journal of Biogeography, 25, 379–398. O’Brien, E. M., Field, R., & Whittaker, R. J. (2000). Climatic gradients in woody plant (tree and shrub) diversity: water-energy dynamics, residual variation, and topography. Oikos, 89, 588–600. Oberdorff, T., Hugueny, B., & Guégan, J.-F. (1995). Global scale patterns of fish species richness in rivers. Ecography, 18, 345–352. Oberdorff, T., Hugueny, B., & Guégan, J.-F. (1997). Is there an influence of historical events on contemporary fish species richness in rivers? Comparisons between western Europe and North America. Journal of Biogeography, 24, 461–467. Parmesan, C., Ryrholm, N., Stefanescu, C., Hill, J. K., Thomas, C. D., Descimon, H., Huntley, B., Kaila, L., 447 Kullberg, J., Tammaur, T., Tennet, W. J., Thomas, J. A., & Warren, M. (1999). Poleward shifts in geographical ranges of butterfly species associated with global warming. Nature, 399, 579–583. Pianka, E. R. (1966). Latitudinal gradients in species diversity: a review of concepts. American Naturalist, 100, 33–46. Provine, W. (1986). Sewall Wright and evolutionary biology. Chicago: University of Chicago Press. Qian, H., & Ricklefs, R. E. (1999). A comparison of the taxonomic richness of vascular plants in China and the United States. American Naturalist, 154, 160–181. Rahbek, C., & Graves, G. R. (2001). Multiscale assessment of patterns of avian species richness. Proceedings of the National Academy of Sciences USA, 98, 4534–4539. Richerson, P. J., & Lum, K.-L. (1980). Patterns of plant species diversity in California: relation to weather and topography. American Naturalist, 116, 504–536. Ricklefs, R. E., Latham, R. E., & Qian, H. (1999). Global patterns of tree species richness in moist forests: distinguishing ecological influences and historical contingency. Oikos, 86, 369–373. Rohde, K. (1992). Latitudinal gradients in species diversity: the search for the primary cause. Oikos, 65, 514–527. Rohde, K. (1998). Latitudinal gradients in species richness. Area matters, but how much? Oikos, 82, 184–190. Rosenzweig, M. L. (1992). Species diversity gradients: we know more and less than we thought. Journal of Mammalogy, 73, 715–730. Rosenzweig, M. L. (1995). Species diversity in space and time. Cambridge, UK: Cambridge University Press. Rosenzweig, M. L. (2003). How to reject the area hypothesis of latitudinal gradients. In T. M. Blackburn, & K. J. Gaston (Eds.)., Macroecology: concepts and consequences (pp. 87–106). Oxford: Blackwell Science. Ruggiero, A. (1999). Spatial patterns in the diversity of mammal species: a test of the geographic area hypothesis in South America. Ecoscience, 6, 338–354. Sax, D. (2001). Latitudinal gradients and geographic ranges of exotic species: implications for biogeography. Journal of Biogeography, 28, 139–150. Simpson, G. G. (1964). Species densities of North American mammals. Systematic Zoology, 13, 361–389. Sinclair, J. D. (1939). The divine comedy of Dante Alighieri. III. Paradiso. New York: Oxford University Press. Terborgh, J. (1973). On the notion of favorableness in plant ecology. American Naturalist, 107, 481–501. Thomas, C. D., Cameron, A., Green, R. E., Bakkenes, M., Beaumont, L. J., Callingham, Y. C., Erasmus, B. F. N., Ferreira de Siqueira, M., Grainger, A., Hannah, L., Hughes, L., Huntley, B., van Jaarsveld, A. S., Midgley, G. F., Miles, L., Ortega.Huerta, M. A., Peterson, A. T., Phillips, O. L., & Williams, S. E. (2004). Extinction risk from climate change. Nature, 427, 145–148. ARTICLE IN PRESS 448 Toms, M. (2003). The BTO/CJ garden birdwatch handbook. Thetford: British Trust for Ornithology. Turner, J. R. G. (1971). Studies of Müllerian mimicry and its evolution in burnet moths and heliconid butterflies. In: E. R. Creed (Ed.), Ecological genetics and evolution (pp. 224–260). Edinburgh and Oxford: Blackwell Scientific Publications, New York: Appleton–Century–Crofts. Turner, J. R. G. (1986). Why are there so few butterflies in Liverpool? Homage to Alfred Russel Wallace. Antenna, 10, 18–24. Turner, J. R. G. (1992). Stochastic processes in populations: the horse behind the cart? In R. J. Berry, T. J. Crawford, & G. M. Hewitt (Eds.)., Genes in ecology (pp. 29–53). Oxford: Blackwell. Turner, J. R. G., Gatehouse, C. M., & Corey, C. A. (1987). Does solar energy control organic diversity? Butterflies, moths and the British climate. Oikos, 48, 195–205. Turner, J. R. G., & Hawkins, B. A. (2004). The global diversity gradient. In M. Lomolino, & L. Heaney (Eds.)., Frontiers of biogeography: new directions in the geography of nature (pp. 171–190). Sunderland, Mass: Sinauer Associates. Turner, J. R. G., Lennon, J. J., & Greenwood, J. J. D. (1996). Does climate cause the global biodiversity gradient? In M. Hochberg, J. Clobert, & R. Barbault J.R.G. Turner (Eds.)., Aspects of the genesis and maintenance of biological diversity (pp. 199–220). Oxford and Tokyo: Oxford University Press. Turner, J. R. G., Lennon, J. J., & Lawrenson, J. A. (1988). British bird species distributions and the energy theory. Nature, 335, 539–541. Whittaker, R. J., Willis, K. J., & Field, F. (2003). Climaticenergetic explanations of diversity: a macroscopic perspective. In T. M. Blackburn, & K. J. Gaston (Eds.)., Macroecology: concepts and consequences (pp. 107–129). Oxford: Blackwell Science. Willig, M. R., Kaufman, D. M., & Stevens, R. D. (2003). Latitudinal gradients of biodiversity: pattern, process, scale, and synthesis. Annual Review of Ecology and Systematics, 34, 273–309. Woodward, F. I., & Kelly, C. K. (2003). Why are species not more widely distributed? Physiological and environmental limits. In T. M. Blackburn, & K. J. Gaston (Eds.)., Macroecology: concepts and consequences (pp. 239–255). Oxford: Blackwell Science. Wright, D. H. (1983). Species-energy theory: an extension of species–area theory. Oikos, 41, 496–506. Wylie, J. L., & Currie, D. J. (1993). Species-energy theory and patterns of species richness. 1. Patterns of bird, angiosperm, and mammal richness on islands. Biological Conservation, 63, 137–144.