6.05 Heat Flow and Thermal Structure of the Lithosphere C. Jaupart, Institut de Physique du Globe de Paris, Paris, France J.-C. Mareschal, GEOTOP-UQAM-McGill, Montreal, QC, Canada
ª 2007 Elsevier B.V. All rights reserved.
6.05.1 Introduction 218 6.05.2 Surface Heat Flux and Heat Transport in the Earth 219 6.05.2.1 Distribution of Heat Flux: Large-Scale Overview 219 6.05.2.2 Mechanisms of Heat Transport 220 6.05.2.3 Thermal Boundary Layer Structure 220 6.05.2.4 Basal Boundary Conditions 221 6.05.2.5 Controls on Lithosphere Thickness 222 6.05.2.6 The Thermal Lithosphere as Opposed to the Seismically Defined Lithosphere 222 6.05.2.7 Summary: Different Approaches to Thermal Studies of the Lithosphere 223 6.05.3 Oceanic Heat Flux, Topography and Cooling Models 223 6.05.3.1 Data 223 6.05.3.2 Hydrothermal Circulation 223 6.05.3.3 Heat Flux Measurements Near Rift Zones 224 6.05.3.4 Cooling Half-Space Model 224 6.05.3.5 Old Ocean Basins: Flattening of the Heat Flow versus Age Curve 226 6.05.3.6 Modified Thermal Model for the Oceanic Lithosphere 226 6.05.3.7 Variations of Lithospheric Thermal Structure due to Factors Other Than Age 228 6.05.3.7.1 Large-scale variations of mantle temperature 228 6.05.3.7.2 Hot spots 229 6.05.3.8 Summary 229 6.05.4 Continental Lithosphere in Steady State 229 6.05.4.1 Vertical Temperature Distribution 229 6.05.4.2 Crustal Heat Production 230 6.05.4.3 Mantle Heat Flux 233 6.05.4.4 Regional Variations of Heat Flow and Lithospheric Temperatures 234 6.05.4.5 Variations of Crustal Thickness 236 6.05.4.6 Summary 238 6.05.5 Continental Lithosphere in Transient Thermal Conditions 238 6.05.5.1 General Features 238 6.05.5.2 Compressional Orogens 238 6.05.5.3 Rifts and Zones of Extension 239 6.05.5.4 Thermal Relaxation of Thick Continental Lithosphere 239 6.05.5.4.1 Sedimentary basins 239 6.05.5.4.2 Tectonic and magmatic perturbations 240 6.05.5.5 Long-Term Transients 240 6.05.5.5.1 Archean conditions 240 6.05.5.5.2 Secular cooling in the lithosphere 241 6.05.6 Other Geophysical Constraints on the Thermal Regime of the Continental Lithosphere 242 6.05.6.1 Constraints from Seismology 242 6.05.6.2 Seismicity, Elastic Thickness, and Thermal Regime of the Lithosphere 242 6.05.6.3 Depth to the Curie Isotherms 244 6.05.6.4 Thermal Isostasy 244 6.05.7 Conclusions 244 References 246
217 218 Heat Flow and Thermal Structure of the Lithosphere
6.05.1 Introduction the oceans remain poorly sampled. Two methods have been used to circumvent this data gap. One Over the past 200 years, the cooling of the Earth has has been to search for a simple control variable on been the object of many studies (Fourier, 1820; lithospheric temperatures, such as age. Another has Thomson, 1864; Strutt, 1906; Holmes, 1915; been to develop increasingly precise and detailed McDonald, 1959; Urey, 1964; Birch, 1965). Since the seismic velocity profiles and to invert them for paper of Kelvin (Thomson, 1864), the estimate of the temperature. average heat flux has changed by a factor of less than 2, To set the stage for this chapter, we recapitulate but our understanding of this value and its implication briefly the advances made in one generation, as mea- for the Earth’s thermal structure has been turned sured against a comprehensive review paper (Sclater upside down several times. Kelvin obtained the solu- et al., 1980). When that review was published, the tion of the heat equation for the conductive cooling of oceanic heat flow problem was essentially solved. a half-space, initially at constant temperature, after a Since then, the model has passed a series of critical tests. For young sea floor, this has entailed docu- sudden dropp inffiffiffiffiffiffiffiffiffi surface temperature. Because heat flux varies as 1= time, Kelvin used the present heat flux to menting and understanding hydrothermal determine the age of the Earth. The Kelvin model is circulation through fractured oceanic crust buried not correct for two reasons. One is that the Earth is not by variable thickness of low-permeability sediments cooling by conduction only; convective motions are and determination of small-scale heat flux variations. driven by temperature differences in the mantle. For old sea floor, this has involved precise measure- Another reason is that Kelvin ignored internal heat ments of heat flux through areas with flat topography unaffected by sedimentary perturbations (slumping, sources; the amount of heat generated by the radio- turbidity currents) and deep oceanic currents. On active decay of U, Th, and K in silicate rocks accounts continents, progress has been made thanks to sys- for a large fraction of the heat flow. This was first tematic measurements of heat flux and heat pointed out by Strutt (1906) who estimated from production in old cratons and determination of heat-production measurements that crustal thickness (P, T ) conditions in the lithospheric mantle through could not exceed 60 km. Following Bullard (1939, xenolith studies. Additionally, subsidence studies in a 1954) and Revelle and Maxwell (1952), systematic large number of sedimentary basins have documen- heat flow measurements on land and at sea were ted the transient response of the continental undertaken which showed that radiogenic heat pro- lithosphere to thermal perturbations. For both con- duction is not uniformly distributed. It is worth noting tinents and oceans, detailed seismic velocity profiles that in the 1950s, when Bullard undertook oceanic have been interpreted in terms of the thermal struc- heat flux measurements, he expected heat flux to be ture of the lithosphere and mantle. Complementary lower in the oceans than in the continents, because the information has come from many disciplines, leading oceanic crust is thin and poor in radioelements. to a very large data set and to a sound understanding The concept of lithosphere, as seen from the ther- of key issues. mal standpoint, and estimates for its thickness have Here, we review these advances focusing on two also evolved. The heat flux data do not fit the age issues. One is to assess the reliability of age as a variation predicted by the half-space conductive control variable on heat flow and lithospheric ther- cooling model. In the oceans, this is because heat is mal structure. In continents, variations of crustal heat brought to the base of the lithosphere, probably production are large in both the horizontal and ver- through small-scale convection. In the continents, tical directions and prevent the calculation of a single variations of heat flux with age are obscured by typical ‘geotherm’ for all provinces of the same age. large changes of radiogenic heat production in the In oceans, age is the main control variable but small crust. variations remain due to lateral variations of mantle How continents and oceans deform and are temperature. The other issue is the control on litho- affected by magmatism depends largely on their ther- spheric thickness and the mechanism of heat mal structures. Thus, current research on geological transport at the base of the lithosphere – in other and geodynamical processes requires accurate words, the bottom boundary condition to be used in knowledge of temperatures in specific regions. thermal models. In steady state, this boundary con- Despite many decades of measurements, many geo- dition is of small concern because the thermal logical provinces on the continents and large parts of structure can be determined by downward Heat Flow and Thermal Structure of the Lithosphere 219 continuation of surface measurements. It is a major flow map of North America (Figure 1) (Blackwell factor, however, if the thermal regime is transient. and Richards, 2004) illustrates the differences We have not aimed this chapter at heat flow spe- between continental and oceanic heat flow. Except cialists and pursue two different goals. One is to show in active regions (Basin and Range, Yellowstone, Rio how to use heat flux data, which involves an analysis of Grande Rift, etc.), heat flux is low throughout the available measurements and their uncertainties as well North American continent and lowest in the as a discussion of missing information. Our other goal Canadian Shield. In contrast, heat flux is higher in is to illustrate the controls on the different thermal the oceans than in the continents, and higher on the regimes that are observed and to describe the key steps western than on the eastern margin. In addition to in data interpretation. This will be achieved with these large-scale differences, many other features simple physical arguments instead of complicated need detailed interpretation. We shall see that one numerical calculations. In the following, for simplicity, cannot apply the same physical frame-work and the data and measurements refer only to heat flow studies same interpretation methods to oceans and conti- unless otherwise specified. nents. From a global perspective, the oceanic lithosphere is in a transient thermal state over most of its short residence time at the Earth’s surface, 6.05.2 Surface Heat Flux and Heat contrary to continents which are mostly in, or close Transport in the Earth to, thermal steady state. Oceanic heat flux follows a decreasing trend as a function of age which parallels 6.05.2.1 Distribution of Heat Flux: Large- that of elevation (or bathymetry). The continental Scale Overview lithosphere has experienced a longer evolution and There are more than 20 000 heat flux measurements is characterized by a complicated structure and com- at Earth’s surface, distributed about equally between position. More importantly, the continental crust is continents and oceans (Pollack et al., 1993). The heat enriched in radioactive elements which contribute
70 °
60 °
50 °
40 °
30 °
210 ° ° 310 220 ° ° 300 ° 230° 290 240° 280° 250° 260° 270°
20 40 60 80 100 120 140 500 –2 mW m Figure 1 Heat flow map of North America. Adapted from Blackwell D and Richards M (2004) Geothermal map of North America, NewYork: Plenum. 220 Heat Flow and Thermal Structure of the Lithosphere the largest component to the surface heat flow. over 1 1 windows have identical shapes, except Continental elevation is controlled mainly by varia- for the extremely high values (>200 mW m 2). tions of crustal thickness and composition, and depends weakly on thermal structure. 6.05.2.2 Mechanisms of Heat Transport The raw averages of oceanic and continental heat flux data are 70 and 80 mW m 2, respectively In the solid Earth, three mechanisms of heat transport (Sclater et al., 1980; Pollack et al., 1993; Harris and must be accounted for. Ordered by increasing depth, Chapman, 2004). These numbers are biased for sev- these are hydrothermal convection, conduction, and eral reasons. Only the conductive component of the convection. Hydrothermal circulation develops in heat flow can be measured. In the oceans, heat flux fractures and pores, which get closed by the confining measurements are made in sediments where conduc- pressure deeper than 10 km. This mechanism is of tive conditions prevail, but hydrothermal circulation little importance at the lithospheric scale but plays a and associated advective heat transport may be very crucial role in shallow environments where heat flux active in the igneous crust beneath. For this reason, measurements are made. Conduction dominates over raw heat flux data are not reliable in lithospheric regions that are cold and cannot be deformed over studies and one must depend on small-scale experi- geological timescales. One can see here the strong ments to account for the effects of hydrothermal link between thermal and mechanical processes. At convection. Once this is done, the average oceanic sufficient depth, the temperature is high enough for heat flux is found to be 101 mW m 2. In the conti- rocks to deform at significant rates and convective nents, high heat flow regions that cover a small heat transfer dominates. In active volcanic areas, one surface are oversampled. Excluding the values from must account for yet another heat transport mechan- the US, where many values were obtained in the ism: magma ascent. Basin and Range Province, the mean continental heat flux drops to only 65 mWm 2. The sampling 6.05.2.3 Thermal Boundary Layer Structure bias can also be removed by weighting the data by As will be shown later, heat is brought to the base of area, as demonstrated in Table 1. Averaging over the lithosphere by convection in the mantle beneath 1 1 windows yields a mean continental heat flux both continents and oceans. The vertical temperature of 65.3 mW m 2. This mean value does not decrease profile must be divided into two parts: an upper part significantly when averaging is done over wider win- where heat is transported by conduction and a lower dows. The histograms of heat flux values or averages convective boundary layer. In steady state and in the absence of heat-producing elements, heat flow is constant in the conductive upper part, implying a a Table 1 Continental heat flux statistics constant temperature gradient for constant thermal m(Q) (Q) conductivity. In contrast, the temperature gradient is (mW m 2) (mW m 2) N(Q) not constant in the convective boundary layer and progressively tends to a small value in the mantle World beneath. For definition of the thermal lithosphere, we All values 79.7 162 14 123 Averages 1 1 65.3 82.4 3024 must consider three different depths (Figure 2). The Averages 2 2 64.0 57.5 1562 shallowest boundary, h1, corresponds to the lower Averages 3 3 63.3 35.2 979 boundary of the conductive upper part and of what USA we shall call the thermal lithosphere. The deepest All values 112.4 288 4243 boundary, h3, corresponds to the lower limit of the Averages 1 1 84 183 532 thermal boundary layer. This boundary may also be Averages 2 2 78.3 131.0 221 Averages 3 3 73.5 51.7 128 regarded as the transition between the lithospheric regime and the fully convective mantle regime, such Without USA All values 65.7 40.4 9880 that the mantle thermal structure below is not related Averages 1 1 61.1 30.6 2516 to that of the lithosphere. An intermediate depth, h2, Averages 2 2 61.6 31.6 1359 is obtained by downward extrapolation of the con- Averages 3 3 61.3 31.3 889 ductive geotherm to the isentropic temperature am is the mean, is the standard deviation, and N is the number of profile for the convecting mantle. With no knowl- values. edge of boundary layer characteristics, one can only Heat Flow and Thermal Structure of the Lithosphere 221
T0 Tb Tw T the procedure is more complex because it involves 0 Isentropic temperature profile estimating the potentially large crustal contribution, Q = Conductive Qcrust. In both cases, steady state cannot be taken for Q b boundary layer granted because it depends on the lithosphere thick-
h1 ness, which is part of the solution. Thus, in practice, Convective one must first demonstrate that transient thermal h2 δ boundary layer effects are negligible. h3 { Far from steady-state conditions, the surface heat Well-mixed mantle flux includes a large transient component and identifying the different components is an undercon- z strained problem. In other words, a purely empirical Figure 2 Schematic structure of the thermal boundary approach is not sufficient and measurements can only layer at the top of Earth convecting mantle. The boundary be interpreted within a theoretical framework. This layer must be split into two parts. In the effectively rigid major difficulty has been at the core of heat flux upper part of thickness h1, heat is transported by conduction. In the unstable lower part of thickness studies for the last three decades. From a physical point of view, one must introduce three tempera- ¼ h3 h1, heat is brought to the base of the upper part through convection. The vertical profile obtained by tures, T0 at the upper boundary, which, for all downward extrapolation of shallow temperature data practical purposes, may be taken as fixed and equal intersects the well-mixed isentropic profile at yet another to 0 C, Tb at the base of the lithosphere, and Tw in depth, h . The temperature at the base of the conductive 2 the well-mixed convective interior. In steady state upper part is Tb, which is significantly smaller than the well- mixed potential temperature Tw. The temperature difference and in the absence of heat sources, one has across the unstable boundary layer of thickness is Tw – Tb. Tb – T0 Q0 ¼ Qb ¼ k ½2 h1 where k is the thermal conductivity. A closure equa- determine h2 and h3, the former from heat flow data and the latter from seismic velocity anomalies. Such tion relates this flux to the temperature difference determinations are associated with two major caveats. across the convective boundary layer, (Tw Tb) One is that they cannot be equal to one another, (Figure 2). In the general case, this involves solving which does not permit cross-checks. The other for the fully coupled heat transfer problem, which requires comprehensive convection models involving caveat is that they say nothing about h1. Yet, it is h1 which defines the mechanically coherent unit (the a variety of scales. Numerical models of this kind ‘plate’) which moves at Earth’s surface and sets the remain tentative because of the uncertainties in the thermal relaxation time which follows tectonic and setup (initial conditions, rheological properties, magmatic perturbations. Uncertainty on this thick- accounting for continents and oceans, etc.) as well ness has severe consequences because the diffusive as inherent computer limitations. For this reason, 2 simple models have been developed and applied relaxation time is _ h . A final remark is that h1 characterizes the upper boundary condition at the locally to a subset of observations. A common proce- top of the convecting mantle. dure is to introduce a heat transfer coefficient B:
Qb ¼ BðTw – TbÞ½3
6.05.2.4 Basal Boundary Conditions Two limiting cases have been considered. For per- fectly efficient heat transfer, B !1, implying that In steady state, the heat flux at Earth’s surface is equal Tb ! Tw. This is the fixed-temperature boundary to condition. Another limit case is when the convective mantle can only maintain a fixed heat flux. In this Q0 ¼ Q crust þ Qlith þ Q b ½1 case, Qb is set to a constant. Both boundary conditions where Qcrust and Qlith stand for the contributions of allow straightforward solutions to the heat equation if heat sources in the crust and in the lithospheric man- the lithosphere thickness is fixed. One additional tle, and Qb is the heat flux at the base of the problem is to ascertain whether or not the lithosphere lithosphere. In the oceans, one may ignore the first thickness changes with time, which requires an two with negligible error and surface heat flux is a understanding of the physical controls on lithosphere direct measure of the basal heat flux. In the continents, thickness. 222 Heat Flow and Thermal Structure of the Lithosphere
6.05.2.5 Controls on Lithosphere analogous to that of oceanic ridges. According to an Thickness alternative model, continental lithosphere is gener- ated by melting above subduction zones (Carlson We know of three controlling factors, which have et al., 2005). The key consequence is that the proto- been studied to varying degrees of complexity. One root may remain hydrated, in which case it is intrin- is the strong temperature dependence of rheological sically buoyant but not intrinsically more viscous. properties, such that only the least viscous (and Geoid anomalies over cratons provide evidence for hence hottest) part of the thermal boundary layer a negative intrinsic density contrast (Turcotte and breaks down and sustains small-scale convection at McAdoo, 1979; Doin et al., 1996). the base of a stable upper layer (Parsons and McKenzie, 1978). With a reliable rheological law, one can calculate all characteristics of the thermal 6.05.2.6 The Thermal Lithosphere as boundary layer, including thickness h1 and basal heat Opposed to the Seismically Defined flux Qb. Uncertainties in upper-mantle properties Lithosphere have led to reversing the approach, in such a way As will be illustrated in this chapter, knowledge of that heat flux data have in fact been used to obtain Earth’s shallow thermal structure remains subject to constraints on mantle rheology (Davaille and Jaupart, large uncertainties, which has motivated the use of 1994; Solomatov and Moresi, 2000; Huang and alternative methods. Among them, seismic methods Zhong, 2005). A second mechanism relies on an are the most powerful and precise, but do not dis- intrinsic density difference such that the plate is criminate well between the different thicknesses made of buoyant material which cannot become involved (Figure 2). unstable upon cooling (Jordan, 1975; Oxburgh and On a worldwide scale, with very few exceptions, Parmentier, 1977; Jordan, 1981). In a third mechan- cratons are systematically associated with fast regions ism, a ‘compositional’ rheological contrast stabilizes extending to depths of about 200–300 km. With the plate such that it is more viscous than the mantle reference to the schematic lithospheric structure below (Pollack, 1986; Hirth and Kohlstedt, 1996). All given in Figure 2, such estimates correspond to three mechanisms are relevant in the Earth but so far depths h3, and hence provide upper bounds to have rarely been included together in convection both h1 and h2. The lithosphere preserves composi- calculations. The interesting question is to assess tional heterogeneities in contrast to the well-mixed the importance of each one of them. Current limita- asthenosphere. Thus, its thickness can be defined by tions on the resolving power of geophysical studies seismology as the depth where small-scale lateral and on how the physical properties of lithospheric heterogeneities disappear. Such depth would be h1. material vary as a function of temperature, composi- Discontinuities in the depth range 80–240 km have tion, and water content prevent firm conclusions. been observed by seismic reflection, refraction experi- Useful information can be gained by invoking the ments, and by teleseismic body-wave studies. They physical processes of continental root formation. cannot be explained by thermal effects but could be Mantle material upwelling beneath an oceanic due to higher hydration in the asthenosphere, in which ridge undergoes partial melting and basalt extraction, case they would correspond to h1. leaving a residue that is both slightly buoyant Independent information may come from the (Oxburgh and Parmentier, 1977; Schutt and Lesher, vertical distribution of seismic anisotropy. One may 2006) and more viscous than the underlying mantle expect different anisotropy characteristics and (Hirth and Kohlstedt, 1996). Depending on mantle orientation depending on depth (Gung et al., 2003). temperature and water content, melting may start at Below the base of the lithosphere, anisotropy is due depths between about 60 and 80 km which sets the to convective shear stresses and should be aligned thickness of the buoyant and viscous residue. with the direction of plate motion. Within the litho- Naturally, one must ask whether this is equal to h1, sphere, anisotropy probably reflects a fabric inherited the thickness of the thermal lithosphere. As usual, the from past tectonic events (Silver, 1996). The depth at continental problem is more complicated because which the anisotropy characteristics change may there is no consensus on the mechanism of formation therefore be interpreted as the base of the of cratonic roots. One popular model is inspired by lithosphere, that is, h1. the oceanic one and invokes melting and melt extrac- Electrical conductivity profiles provide yet tion at the top of large mantle plumes. This case is another means of constraining lithosphere thickness. Heat Flow and Thermal Structure of the Lithosphere 223
Conductivity is sensitive to both temperature and the 500 water content of mantle rocks. Analysis of data from the Archean Slave Province, Canada, and the north- 400 eastern Pacific shows that old continental lithosphere
) contains less water than the oceanic mantle in the –2
m depth range 150–250 km (Hirth et al., 2000). 300
6.05.2.7 Summary: Different Approaches to 200 Thermal Studies of the Lithosphere
Heat flux (mW The thermal boundary layer at the Earth’s surface 100 must be divided into two parts with different rheologies and heat transport mechanisms. These 0 differences are significant for three reasons. One is 0 40 80 120 160 that different geophysical methods provide con- Age (My) straints on different parts of the boundary layer and Figure 3 Oceanic heat flux data binned in 2 My intervals hence cannot be compared without care. Another as a function of age, from the compilation by Stein and Stein reason is that heat flow is not sensitive to the same (1992). Note the nonmonotonic variation of the mean heat flux and the extremely large data scatter at young ages. parts of the boundary layer in transient and steady- state conditions. A third reason is that these two parts play different roles for the dynamics of mantle scale. The main conclusion that can be drawn from convection and for the secular cooling of the Earth. the statistics displayed in Figure 3 is that the global For example, mantle plumes must first go through heat flux data set does not allow precise studies of the the convective boundary layer before reaching the oceanic lithosphere. The very large data scatter is not base of the lithosphere. Thus, for studies of plume due to measurement errors and will be now discussed penetration through the lithosphere, the relevant further. thermal perturbation is the sum of the temperature anomaly driving plume ascent through the deep mantle and the temperature difference across the 6.05.3.2 Hydrothermal Circulation boundary layer, which may be large. For these reasons, a purely empirical approach to Submarine observations of mid-ocean ridges have heat flux data is doomed to fail. The problem is more revealed spectacular plumes of hot aqueous solutions acute in continents because of crustal heat produc- oozing out of the sea floor. Measurements on samples tion, an independent variable unrelated to heat from Deep Sea Drilling Program (DSDP) and Ocean transport mechanisms. At the very least, heat flux Drilling Program (ODP) boreholes and ophiolite data provide quantitative constraints on models massifs have shown that the oceanic crust is perva- derived from other observables. At best, when used sively fractured and chemically altered. Mass balance in conjunction with other methods and some consid- calculations demonstrate that large volumes of fluid eration of heat transport mechanisms, they provide circulate through the crust, carrying large amounts of insight on mantle dynamics. energy (e.g., Davis and Elderfield, 2004). In situ quan- titative assessment of hydrothermal circulation can be achieved in two ways. One is to establish the 6.05.3 Oceanic Heat Flux, energy budget of a vast area, such that it encompasses Topography and Cooling Models both downwellings and upwellings. For young ocean floor, upwellings carry hot fluids into the sea and a 6.05.3.1 Data proper heat loss estimate can only be made by simul- Figure 3 shows the oceanic heat flux averages from taneously measuring the discharge rate and the Stein and Stein (1992), plotted as a function of age. temperature anomaly (Ramondec et al., 2006). With Large data sets are already available, suggesting that a thick sedimentary cover, upwellings are slowed more measurements would not reduce the scatter in down and become diffuse, and hence tend towards the data. Measurement campaigns should now be thermal equilibrium with the surrounding matrix. targeted at addressing specific problems at the local Testing that it is the case requires small-scale 224 Heat Flow and Thermal Structure of the Lithosphere temperature measurements at the water–sediment from the outcrop, the heat flux decreases with age. In interface. The other method is to identify sites the latter region, the total heat flux variation is large where hydrothermal convection is absent, but this is enough to allow comparison with theoretical models only possible on old sea floor. for the cooling of the ocean lithosphere. Direct observation of the sea floor shows that the basement outcrop region is a zone of recharge and 6.05.3.3 Heat Flux Measurements that, beneath the sedimentary cover, flow is domi- Near Rift Zones nantly horizontal. Because the basement surface is maintained approximately isothermal by vigorous Several detailed surveys have led to a thorough convection, variations of heat flux seem mostly con- understanding of the mass and heat balance of trolled by sediment thickness. But, focused discharge young oceanic basement and sedimentary cover. with very large heat flux values occurs at a few Figure 4 (Davis et al., 1999) shows a comparison locations in association with basement topographic between a heat flux profile on very young sea floor highs. Elsewhere, water flow is diffuse, such that it near the Juan de Fuca ridge and a cross-section equilibrates with the sediments. Rates of flow showing the sediments thickness and basement deduced from chemical concentration gradients are depth. It was noted that the heat flux fluctuates on consistent with theoretical hydrological calculations the scale of stations spacing (2 km), which implies (Davis et al., 1999). In order to evaluate the deep- that surveys with large stations spacing do not yield seated heat flux, it is thus important to make mea- meaningful results. To emphasize the long wave- surements in a sufficiently large area with small length trends, a 15 km running average was applied sampling distance to filter out the effect of sediment on the heat flux profile. This profile shows two dis- thickness variability and of the ventilation areas. tinct trends: near the basement outcrop, to the left, the heat flux increases with age and reaches a max- imum value in excess of 400 mW m 2; further away 6.05.3.4 Cooling Half-Space Model Oceanic ridges are associated with mantle upwel-
) 600 lings feeding plate-scale horizontal flow. Such flow
–2 occurs in a variety of settings and has been studied m
400 extensively. Flow is dominantly horizontal with negligible variations of horizontal velocity with 200 depth. The large wavelengths of heat flow varia- tions imply that heat transfer is dominantly Heat flux (mW 0 vertical. In a two-dimensional (2-D) rectangular coordinate system, with x distance from the ridge 2000 and z depth from the sea floor, the temperature obeys the following equation: 2400 qT qT q qT Sediment Cp þ u ¼ k ½4 Depth (m) 2800 qt qx qz qz Igneous basement where u is the horizontal velocity, is the density of 3200 the lithosphere, Cp the heat capacity, and k the ther- 0 20406080100 mal conductivity. We have neglected viscous heat Distance from ridge (km) dissipation and radiogenic heat production, which is Figure 4 Top: Horizontal variation of heat flux away from very small in mantle rocks. Over the timescale of an Juan de Fuca ridge, from Davis et al. (1999). Bottom: oceanic plate, steady state can be assumed (i.e., the Structure of young sea floor beneath the measurement temperature remains constant at a fixed distance sites, showing the lack of sedimentary cover at small distance from the ridge. The heat flux profile was obtained from the ridge). In steady state with constant thermal with a running average over 15 km windows. The two conductivity, the heat eqn [4] reduces to curves correspond to the half-space cooling model, such 2 – 1=2 qT q T that Q ¼ CQ with the two extreme values that have 2 1 Cpu ¼ k 2 ½5 been proposed for CQ ¼ 470 and 510 mW m My . qx qz Heat Flow and Thermal Structure of the Lithosphere 225
For a constant spreading rate, the age is A second verification is provided by bathymetry data. Using an isostatic balance condition ¼ x=u ½6 dh which leads to ¼ qð0; tÞ½10 dt Cpð m – wÞ qT q2T ¼ ½7 where is the volume thermal expansion coefficient, q qz2 m the density of the mantle, and w the density of where is thermal diffusivity. This is the 1-D heat seawater. Thus, diffusion equation, whose solution requires a set of pffiffiffi initial and boundary conditions. The upper boundary hð Þ¼H0 þ Ch ½11 condition and the initial condition can be specified with with little error. The high efficiency of heat transport rffiffiffi 2 ÁT in the water column ensures that the sea floor surface C ¼ m ½12 h – is kept at a fixed temperature T0 of about 4 C. The ð m wÞ initial condition is set by a model for the ascent of hot Bathymetry records the total cooling of the oceanic material (Roberts, 1979). Over the horizontal scale of lithosphere since its formation at the mid-oceanic a mantle upwelling, one may neglect dissipation. ridges. The bathymetry data are far less noisy than the Neglecting further lateral heat transfer, one can use heat flux data and fit extremely well the model predic- solutions for isentropic pressure release (McKenzie tions for oceanic lithosphere younger than 100 My and Bickle, 1988). For such an initial geotherm, (Figure 5). Again, the constant C can be calculated temperature decreases with increasing height above h from the value of constant C in the heat flow equation the melting point. The total temperature drop Q and checked against the observations. This was done by depends on the starting mantle temperature, which Davis and Lister (1974) following the theoretical sets the depth at which melting starts, and estimates analysis by Parker and Oldenburg (1973). for the heat of fusion, but never exceeds 200 K. This A third verification is possible thanks to geoid is much smaller than the difference ÁT between the anomalies which decrease linearly with age. As before, surface and the starting temperature and it may be neglected in a first approximation. For uniform initial the observed CQ value can be used together with well- Á known values of physical properties to predict these temperature Ti ¼ T0 þpffiffiffiT, this model yields a heat flux proportional to 1= : anomalies, with excellent results (Haxby and Turcotte, 1978; Sandwell and Schubert, 1980). ÁT Q ¼ k pffiffiffiffiffiffiffiffi ¼ C – 1=2 ½8 Q ffiffiffiffiffiffi p 2 where CQ ¼ k ÁT= is a constant. As shown by Carslaw and Jaeger (1959) and Lister (1977), this oo Atlantic simple age dependence also holds when physical oo 3 o Pacific properties are temperature dependent. In this o o oo Indian model, by definition, o o o o pffiffiffiffiffiffiffiffi 4 o h ¼ ½9 o 2 oo o The validity of this model can be assessed by going Depth (km) 5 oo back to the Juan de Fuca heat flux data (Figure 4). oo o The 15 km running average of heat flux measured o o o o o o over thick sediments fits the theoretical prediction 6 o o o beautifully. Three additional verifications may be made. The constant C may be measured from the 0510 Q (Age (My))1/2 heat flux data. From well-known values of thermal conductivity and thermal diffusivity, we obtain an Figure 5 Depth to the sea floor basement as a function of estimate for the mantle temperature T ¼ 1350 C, the square root of age, from Carlson and Johnson (1994). i These data correspond to DSDP holes and are not affected which is very close to values deduced from the by uncertainties on sediment thickness. The dashed lines chemical composition of mid-ocean ridge basalts represent the two extreme linear relationships that are (Kinzler and Grove, 1992). consistent with data. 226 Heat Flow and Thermal Structure of the Lithosphere
The cooling model therefore accounts for all the 60 observations on young sea floor and can be used to ) determine the mantle temperature. Should cooling –2 m proceed unhampered, the thermal boundary layer 50 would thicken and reach a thickness of about 130 km by 180 My. 40 Heat flux (mW
6.05.3.5 Old Ocean Basins: Flattening of 30 the Heat Flow versus Age Curve 100 120 140 160 180 200 Age (My) Heat flux data depart from eqn [8] on sea floor older Figure 7 Closeup of the reliable oceanic heat flux data than c.100Myandtendtoaconstantvalueof through sea floor older than 100 My. Within measurement 48 mW m 2 (Figures 6 and 7). Depth to the ocean uncertainty, these data suggest that heat flux is constant floor also departs from the theoretical predictions and and about 48 mW m 2. Reproduced from Lister CRB, tends to a constant value. These observations have been Sclater JG, Nagihara S, Davis EE, and Villinger H (1990) Heat flow maintained in ocean basins of great age – hotly debated and have important consequences that Investigations in the north-equatorial West Pacific. are discussed in the next section. Because heat flux data Geophysical Journal International 102: 603–630. were scarce and subject to large experimental uncer- tainties, attention was focused on bathymetry. Depth values exhibit some scatter due to inaccurate estimates thermal structure of the whole upper mantle and to of sediment thickness and inherent basement roughness stresses at the base of the lithosphere, which depend on (Johnson and Carlson, 1992). Another issue was the the dynamics of plate-scale convection (Davies, 1988). influence of seamounts and large hot spot volcanic It turns out, therefore, that the flattening of the bathy- edifices, which obscure the behavior of ‘normal’ litho- metry does not allow straightforward conclusions. sphere, if such a thing exists (Heestand and Crough, Perhaps ironically, attention must go back to 1981). Depth to the sea floor is indeed sensitive to the heat flux because it is sensitive neither to deep-man- tle temperature anomalies nor to convective stresses. Over the limited age range of oceanic lithosphere, 400 heat flow records shallow thermal processes within and just below the lithosphere (Davaille and Jaupart, 1994). This motivated detailed and accurate heat flux ) 300
–2 surveys through old sea floor (Lister et al., 1990). New m measurement techniques relying on longer tempera- 200 ture probes and in-situ conductivity measurements are affected by much smaller uncertainties (Becker and Davis, 2004). Figure 7 shows reliable heat flux
Heat flux (mW flux Heat 100 data including measurements specifically collected to detect age-related variations if there werepffiffiffi any. It is clear that heat flux departs from the 1= behavior 0 0 40 80 120 160 200 and exhibits no detectable variation at ages larger Age (My) than about 120 My. This indicates that heat is sup- Figure 6 Reliable oceanic heat flux data as a function of plied to the lithosphere from below. age. The boxes represent the average heat flux in well- sedimented areas of the sea floor. The height of each box is the 90% confidence interval for the mean heat flux, and the 6.05.3.6 Modified Thermal Model for the width represents the age range, or uncertainty. The dashed Oceanic Lithosphere line is the best-fit half-space cooling model. Note that heat flux data through old sea floor are systematically higher than Data on old sea floor indicate that heat is brought into the model predictions. Reproduced from Lister CRB, the lithosphere from below, which has led to the ‘plate’ Sclater JG, Nagihara S, Davis EE, and Villinger H (1990) Heat flow maintained in ocean basins of great age – model such that a boundary condition is specified at Investigations in the north-equatorial West Pacific. somefixeddepth(thebaseoftheplate).Figure 8 Geophysical Journal International 102: 603–630. illustrates the relationships between the thermal Heat Flow and Thermal Structure of the Lithosphere 227
T0 Tb Tw T calculated from this solution and are in good overall 0 Isentropic te agreement with the observations (Parsons and Sclater, Conductive 1977). There are small systematic differences between Q = boundary Q b layer model predictions and observations, however, indicat- ing that the model is only an approximation ( Johnson h1 mperature Q = Qb @ z = aQ and Carlson, 1992). Depending on the data set and on T = T @ z = a h2 w T model specifications (such as temperature-dependent
h profile physical properties), the analysis provides estimates of 3 100 km and 1300 CforaT and ÁT, respectively (Table 2). As in the case of the half-space model, the model can be tested against direct petrological esti- z mates of the mantle temperature (McKenzie and Figure 8 Left: Schematic structure of the thermal Bickle, 1988; Kinzler and Grove, 1992). This test inva- boundary layer at the top of the Earth’s convecting mantle. Right: Two simple plate models and their relationships to lidates the widely used model of Stein and Stein the true boundary layer structure. The fixed temperature (1992), which requires ÁT ¼ 1450 C. model corresponds to thickness h2 and to temperature Tw. An alternative plate model corresponds to the The fixed heat flux model corresponds to thickness h1 and fixed-flux boundary condition. In this case, the to temperature Tb. plate is initially at temperature ÁTQ and fixed flux kÁTQ =aQ is maintained at the base aQ, which is in boundary layer structure and the plate model charac- fact h1 (Figure 8). The solution is teristics. The original plate model of McKenzie (1967) X1 ÁT z 8ÁT 1 ; Q Q is such that the plate is initially at a fixed temperature Tðz tÞ¼ þ 2 2 aQ n ¼ 0 ð2n þ 1Þ ÁTT , the surface is maintained at T ¼ 0 and the base ð2n þ 1Þ z of the plate at depth aT is maintained at ÁTT .With cos 2aQ reference to Figure 1, one has aT ¼ h2, showing that ! the fixed temperature model does not specify the – ð2n þ 1Þ2 2 t exp 2 ½16 thickness of the unstable boundary layer at the base 4aQ of the lithosphere. Assuming for simplicity that physical properties where the temperature difference ÁTQ corresponds are constant, an important point to which we shall to steady state with basal heat flux Qb: return, temperature within the plate obeys the Q a ÁT ¼ b Q ½17 following equation: Q k X1 z 2 1 n z and where the characteristic relaxation time is Tðz; tÞ¼ÁTT þ sin aT n¼1 n aT 2 ! aQ ¼ 4 ½18 – n2 2 t Q exp 2 ½13 aT which defines a characteristic time Table 2 Parameter values for the oceanic plate model 2 a ¼ T ½14 DT ( C) a (km) Method Reference T 1333 125 Constant properties – Parsons and For t T , the series can be approximated by its fixed T Sclater (1977) leading term, as follows: 1450 95 Constant properties – Stein and Stein fixed T (1991) z 2 z 1350 118 T-dependent Doin and Fleitout Tðz; tÞ¼ÁTT þ sin aT aT properties – fixed (1996) a 2 t Q at variable depth exp – 2 ½15 1315 106 T-dependent McKenzie et al. aT properties – fixed T (2005) which shows straightforward relaxation behavior. aIn this model, heat flux is fixed at the base of the growing thermal Surface heat flux and depth to the sea floor are readily boundary layer. 228 Heat Flow and Thermal Structure of the Lithosphere
With this solution, the leading term in the series From a physical standpoint, the fixed temperature expansion for the age dependence of heat flux and and fixed heat flux models must both be considered as bathymetry exhibits the same type of relaxation than crude simplifications. The former requires a specific for a fixed basal temperature but with a different value time variation of heat flux at the base of the litho- for the characteristic relaxation time. A fit to the data sphere, which may not be consistent with true mantle forces the two relaxation times to take the same value dynamics. The latter model requires that heat is of about 80 My, the age at which the subsidence brought into the lithosphere at small ages. More com- departs from boundary layer cooling subsidence. This plex models have a fixed heat flux brought to the base leads to of a growing thermal boundary layer (Doin and Fleitout, 1996), at which point it is perhaps best to a turn to full numerical simulations (Dumoulin et al., a ¼ T 50 km ½19 Q 2 2001; Huang and Zhong, 2005).
This model does not specify the characteristics of the unstable boundary layer. With reference to Figure 2, 6.05.3.7 Variations of Lithospheric Thermal one has a ¼ h and a ¼ h . Thus, the solutions T 2 Q 1 Structure due to Factors Other Than Age for the two plate models are consistent with the fundamental inequality h2 > h1. The estimate for h1 6.05.3.7.1 Large-scale variations of may be compared to the thickness of depleted man- mantle temperature tle, which depends on the well-mixed mantle The chemical composition of mid-ocean ridge basalts potential temperature (Tw). For Tw 1300 C, this varies within a restricted range, but these variations are is 60 km. Accounting for the various uncertainties highly significant (Klein and Langmuir, 1987) because involved, the two estimates may be considered in they require that the mantle temperature is not uni- satisfactory agreement. form along a ridge axis. Detailed petrological studies The point of this discussion is not to dwell on yield a range of 1300–1450 C for the source tempera- precision, which would require more complex calcu- ture (Kinzler and Grove, 1992). This range does not lations with temperature-dependent properties, but correspond to experimental errors, but to composi- to show how to interpret thickness estimates deduced tional variations among mid-ocean basalts which are from thermal models. It makes it clear, for example, due to variations in source temperature. Depending on that the fixed temperature model cannot be used to which scale these variations occur, their causes and determine the thickness of melt-depleted mantle. consequences differ strongly. Small-scale heterogene- This model, however, provides temperature esti- ities would be of local significance only and would mates for the whole oceanic boundary layer. have no effect on geophysical observables. Large- Figure 9 shows the most recent improvement of scale heterogeneities would indicate the existence of this model by McKenzie et al. (2005), which accounts large mantle domains and would imply variations in for temperature-dependent physical properties. plate temperatures and physical properties. Heat flux data allow accurate determination of the heat flux cooling constant, CQ, between 470 and 510, corresponding to an uncertainty of only 4%. In 0°C 0 terms of mantle temperature, assuming no uncer- 20 tainty on the thermal properties entering the 300°C expression for CQ, this corresponds to an uncertainty 40 600°C for Ti of 60 C. This is compatible with the pet- 60 rological estimates but does not allow an
Depth (km) Depth 80 1000°C independent constraint. Bathymetry data exhibit large-scale trends with along-strike variations of 100 1300°C 0 50 100 150 200 ridge topography as well as of subsidence rate Age (My) (Marty and Cazenave, 1989). With a modified plate model, one may estimate that the mantle temperature Figure 9 Isotherms in the oceanic lithosphere from the plate model of McKenzie et al. (2005). Earthquake varies by about 100 C (Lago et al., 1990). Such hypocenters are confined to shallow regions above the variations occur on a large scale and may be traced 600 C isotherm. from the ridge to old sea floor (Humler et al., 1999). Heat Flow and Thermal Structure of the Lithosphere 229
6.05.3.7.2 Hot spots lithosphere thickness stabilizes to a constant value. Hot spots are associated with spectacular swells on Heat flux data provide some insight into convective the sea floor (Crough, 1983). Debate has been on processes because they specify the rate at which heat whether mantle plumes are involved and on the is brought to the base of the lithosphere. extent of lithospheric thinning. Several mechanisms Determination of plate thickness from a thermal can be invoked for a bathymetric swell, involving model is subject to some ambiguity because it heating of lithospheric material or a normal stress depends on assumed boundary conditions. applied to the base of the lithosphere by an active mantle upwelling (i.e., a dynamic stress) or by ponded buoyant (hot) plume material ( Jurine et al., 6.05.4 Continental Lithosphere in 2005). Steady State The search for heat flux anomalies over hot spot 6.05.4.1 Vertical Temperature Distribution swells has led to mixed results. Courtney and White (1986) found a weak anomaly over Cape Verde. There is now no doubt that the continental litho- Bonneville et al. (1997) had to resort to closely spaced sphere is much thicker than its oceanic counterpart. measurements to detect a small anomaly of about The choice of a boundary condition at the base of the 8mWm 2 over the Reunion hot spot track. A global lithosphere is important when considering the tran- analysis shows that swells are associated with above- sient regime and the return to equilibrium. For a normal heat flux values (Stein, 1995). Without litho- 200 km thick lithosphere with constant temperature sphere thinning, it would take about 100 My for a at its base, the thermal relaxation time is 300 My. basal thermal perturbation to be detectable in surface As shown above, it would be four times as long for a heat flux data. No heat flux anomaly is above the constant heat flow boundary condition. Gass et al. error level along the Hawaiian hot spot track, prob- (1978) and Jaupart et al. (1998) have also pointed ably due to hydrothermal convection within the out that for lateral changes in basal heat flux to sedimentary moat surrounding the island (Von reach the surface, they must remain immobile rela- Herzen et al., 1989; Harris et al., 2000). However, a tive to the lithosphere for more than 1 Gy. Basal recent seismic study by Li et al. (2004) indicates boundary conditions varying on a timescale thinning by 50 km of the lithosphere beneath the <500 My have little or no effect on surface heat island of Kauai. flux. A thick lithosphere introduces two additional The data indicate modifications of lithospheric complexities. One is that even very small concentra- thickness and thermal structure above mantle tions of radioelements in the lithospheric mantle may plumes, as expected on physical grounds (Moore account for a non-negligible fraction of the total heat et al., 1999; Jurine et al., 2005). Such modifications, flow. Another is that the surface heat flux cannot be however, depend on plume strength and lithosphere in equilibrium with the present heat production in thickness and must be evaluated on a case by case the lithospheric mantle (Michaut and Jaupart, 2004). basis. In the crust, the progressive rundown of radio- activity is slow compared to thermal equilibration time and steady state may be assumed in many situa- 6.05.3.8 Summary tions. Because heat production varies at all scales, the At small ages, heat flux data are noisy and their approach must depend on the scale of the study small-scale variations are not sensitive to deep ther- (Jaupart and Mareschal, 2003; Mareschal and mal conditions. For ages less than 100 My, heat flux Jaupart, 2004). Deep horizontal variations of heat data are consistent with conductive cooling of the production (and also of basal heat flux) are smoothed oceanic lithosphere and yield an estimate of the out by diffusion. Conventional wisdom from poten- mantle temperature. The deepening of bathymetry tial theory is that short-wavelength variations are with age provides a direct measure of the time inte- associated with shallow sources whereas long- grated cooling of the lithosphere. The observed wavelength ones might be due to deep sources. For bathymetry versus age relationship is the strongest heat flow, the former is certainly true but not the supporting evidence for the cooling model. For old latter: crustal sources reflect the surface geology ages, plate models relying on specific choices for the which follows a long-wavelength pattern. Starting basal boundary condition must be considered as from the surface, downward continuation is unstable approximate and they cannot specify how the for small wavelengths. In practice, one must use an 230 Heat Flow and Thermal Structure of the Lithosphere averaging window 100 km wide for crustal tempera- 0 tures and 500 km wide for the deep lithosphere. Upper crust: variable A With a reliable model for the vertical variation of c Lower crust: the horizontally averaged heat production, A(z), the 50 µ –3 Ac = 0.4 W m surface heat flux Q can be written as 0 –2 Q = 15 mW m Z M zm 100 Q0 ¼ QM þ Aðz9Þdz9 ½20 0 90 40 65 where zm is depth to Moho. Note that one may not
Depth (km) 150 assume that Qb, the heat flux at the base of the litho- sphere, is equal to QM, the heat flux at the Moho, because of long thermal transients and heat produc- tion in the lithospheric mantle. Such issues will be 200 discussed separately. In steady state, vertical tem- perature profiles are obtained by integration: Z 250 dT z 0 500 1000 1500 2000 kðTÞ ¼ Q0 – Aðz9Þdz9 ½21 Temperature (°C) dz 0 Figure 10 where k(T) is the temperature-dependent thermal Three continental geotherms calculated for surface heat flux ¼ 40, 65, and 90 mW m 2. Calculations conductivity. In practice, the function A(z) is not are made with temperature-dependent conductivity (see well known but one may obtain constraints on the Appendix) and for the same Moho heat flow of 15 mW m 2. Moho heat flow, as will be explained below. As a first Crustal heat production is assumed to be distributed in two 3 approximation, one may neglect heat production in layers of equal thickness with a fixed value of 0.4 mWm the lithospheric mantle. Specifying the values of heat for heat production in the lower crust. With such models, changing the surface heat flux by 25 mW m 2 leads to flux at the surface and at the Moho then sets the total changes of 110 C and 100 C for temperatures at the amount of crustal heat production, which leaves only Moho and at 200 km depth. one unknown: the vertical variation of heat produc- tion in the crust. Figures 10–12 illustrate the effects of changing distribution of radiogenic heat production could be the three main variables: the surface heat flux, the obtained by sampling all representative rocks in a Moho heat flux, and the vertical distribution of geological province. This is rarely feasible in practice crustal heat production. For accurate predictions, because of a lack of samples from the lower crust calculations must account for temperature- (Jaupart and Mareschal, 2003). The vagaries of geo- dependent conductivity (see Appendix 4). For a stra- chemical studies are seldom consistent with those of tified crust with an enriched upper layer and a fixed heat flow studies, implying that one must deal with Moho heat flux, increasing the surface heat flux from poorly matched data sets. For these reasons, some 40 to 90 mW m 2 leads to small temperature differ- authors have searched for shortcuts and have tried to ences in the mantle ( 100 K). Temperatures are derive the crustal heat production directly from the more sensitive to changes of the vertical distribution heat flux data. of heat production (Figure 11). As discussed below, Early work on continental heat flux revealed, current estimates for the Moho heat flux beneath within certain provinces, a linear relationship cratons range from 12 to 18 mW m 2. This range of between the local values of heat flux Q and heat variations leads to large differences in temperatures production A0 (Birch et al., 1968): in the lowermost lithosphere ( 250 C). Q ¼ Qr þ A0D ½22 The slope D, which has dimension of length and 6.05.4.2 Crustal Heat Production is usually 10 km, is related to the thickness of a It is now clear that there is no ‘universal’ law that surficial heat producing layer. Qr is called the reduced relates crustal heat production to surface heat flux, or heat flux. The region where the relationship holds that allows the heat flux and heat production to be defines a heat flux province characterized by D and determined from crustal age. In principle, the Qr. Within the relatively large errors in both heat flux Heat Flow and Thermal Structure of the Lithosphere 231
0 and heat production values, several such provinces –2 Q0 = 90 mW m were defined, including the Sierra Nevada and the Basin and Range, which are not in steady state. 50 Among the many heat source distributions that fit this relationship, the exponentially decreasing one, Homogeneous crust AðzÞ ¼ A0 expð – z=DÞ, was favored because it is 100 Stratifie independent of the erosion level (Lachenbruch, 1970). With this model, the total heat production in d crust the crust is A0 D and QM Qr if D is less than Depth (km) 150 10 km. This (and other) simple models based on the linear relationship imply that the vertical distribu- tion of heat production can be described by a single 200 universal function with well-defined parameters within each province. If this concept was verified, it would be possible to infer the vertical distribution of 250 0 500 1000 1500 2000 heat production as well as the mantle heat flux directly Temperature (°C) from surface heat flux. For instance, Artemieva and Mooney (2001) have followed this approach to deter- Figure 11 Two continental geotherms for the same heat flux value of 90 mW m 2 and two different vertical mine the thickness and temperature in the continental distributions of crustal heat production. Calculations are lithosphere on a worldwide scale from the global heat made with temperature-dependent conductivity (see text) flux compilation. 2 and for the same Moho heat flow of 15 mW m . One curve With the large data sets now available, it is clear corresponds to a stratified continental crust, as in Figure 10, and the other to a homogeneous crust. Changing that the concept of a universal vertical heat produc- the vertical distribution of heat production leads to changes tion distribution is not valid. The correlation of 220 C and 140 C for temperatures at the Moho and at between local values of surface heat flux and heat 200 km depth. production only holds over exposed plutons very enriched in radioactive elements. Over other rock types, it is weak at best, as demonstrated by data 0 from large Precambrian provinces of India (Roy and –2 Rao, 2000), Canada (Mareschal et al., 1999), and Q0 = 90 mW m South Africa (Jones, 1987, 1988). Theory shows that, 50 for the rather small wavelengths involved, surface heat flux is only sensitive to shallow heat-production contrasts (Jaupart, 1983a). In fact, the linear relation- 100 Q ship is an artifact because horizontal heat transport M Q =
M 18 smoothes out deep differences in heat production = mW 12 rates. Values of D are not related to other physical
Depth (km) 150 mW m dimensions in a geological province, such as pluton –2 m thickness, and are related to the horizontal correla- –2 tion distance of heat production (Jaupart, 1983b; 200 Vasseur and Singh, 1986; Nielsen, 1987). One unfor- tunate consequence is that the reduced heat flux is not the mantle heat flux, but the heat flux at some 250 050010001500 2000 intermediate crustal depth. Thus, one cannot get Temperature (°C) around the problem of estimating heat production Figure 12 Two continental geotherms for the same heat in the mid and lower crust. flux value of 90 mW m 2 and two different values of the Following a related approach, Pollack and 2 Moho heat flux (12 and 18 mW m ). Calculations are made Chapman (1977a, 1977b) noted a correlation between with temperature-dependent conductivity (see text) and for the reduced heat flux and the average heat flux Q in the same stratified crustal model as in Figure 10. Changing the Moho heat flux leads to changes of 100 C and 260 C a few geological provinces. They added estimates of for temperatures at the Moho and at 200 km depth. lower crustal heat production and obtained a model 232 Heat Flow and Thermal Structure of the Lithosphere in which the mantle and surface heat fluxes are does not systematically decrease with depth. At Kola, nearly proportional to each other. This relationship the Proterozoic supracrustal rocks (above 4 km) have is not valid at short spatial scales by construction and much lower heat production (0.4 mWm 3) than the is not consistent with data from several well-sampled Archean basement (1.47 mWm 3) (Kremenentsky regions, as shown below. et al., 1989). At KTB, heat production decreases with Sampling of different structural levels in the crust, depth at shallow levels, reaches a minimum between 3 studies of lower crustal xenoliths, and studies in very and 8 km, and increases again in the deepest part of the deep boreholes have given us much needed estimates borehole. of the vertical distribution of heat generation. Samples These results may perhaps seem obvious to geol- from the lower crust show that heat production is not ogists trained to deal with the complexities of crustal negligible. Xenoliths lead to a global average heat structure and processes. A universal function describ- production of 0.28 mWm 3 (Rudnick and Fountain, ing the vertical distribution of heat production 1995) while exposed rocks from lower crustal levels requires a ubiquitous mechanism affecting all crustal yield 0.4–0.5 mWm 3 (Figure 13). These values are rocks in the same manner everywhere. A natural muchtoohightobeconsistentwithanexponential candidate would be fluid redistribution accompany- decrease of heat sources. Studies of exposed crustal ing metamorphic reactions, but we know that it does sections suggest a general trend of decreasing heat not affect uranium and thorium (Bingen et al., 1996; production with depth, but this trend is not a mono- Bea and Montero, 1999). It is now clear that heat tonic function (Ashwal et al., 1987; Fountain et al.,1987; production in the lower crust depends mostly on Ketcham, 1996). Even for the Sierra Nevada batholith, prior geological history. One cannot expect that where the exponential model had initially been pro- tectonic and magmatic processes somehow manage posed, a recent compilation has shown that the heat to redistribute heat production in a systematic fash- production does not decrease exponentially with ion on a scale of a few to a few tens of kilometers. depth (Brady et al., 2006). In the Sierra Nevada, heat As shown above, one key step is to derive reliable production first increases, then decreases and remains average values for both the surface and Moho heat constant in the lower crust beneath 15 km. fluxes. Their difference yields the total amount of heat Measurements in very deep boreholes (Kola, KTB) produced in the crust. Adding an estimate of the average have shown that the concentration of heat sources heat production at the surface, one can further obtain a measure of its vertical variations. For that reason, Perry et al. (2006) introduced a differentiation index: 0 0 A D ¼ 0 ½23 I < A > 2 10 where A0 is the surface heat production and is 4 the mean crustal heat production. If Moho heat flux is QM and crustal thickness H, 20 6 A0H DI ¼ ½24 Q0 – QM
Depth (km)
Pressure (kbar) 8 30 How to obtain estimates of the Moho heat flux is discussed in the next section. Crustal stabilization 10 requires vertical differentiation of the radioelements. 40 This operates as a self-regulating system: high heat 12 production with uniform vertical distribution gives 01234 –3 rise to elevated temperatures favoring melting in the Heat production (µW m ) lower crust and differentiation (Sandiford and Figure 13 Radiogenic heat production in granulite-facies McLaren, 2002). One can thus expect the differentia- rocks from the Baltic and Canadian shields as a function of tion index to be high when average crustal heat peak metamorphic pressure. Note that heat production does not drop below 0.4 mWm 3. Reproduced from Joeleht production and surface heat flux are high; for example, TH and Kukkonen IT (1998) Thermal properties of granulite DI 3 and 1 for the Phanerozoic Appalachians and facies rocks in the Precambrian basement of Finland and Grenville Provinces, North America, respectively Estonia. Tectonophysics. 291: 195–203. (Figure 14). It is expected that crustal differentiation Heat Flow and Thermal Structure of the Lithosphere 233
3.0 70 Grenville Slave Appalachians )
) Superior 60
I THO –2 D m 2.5 50 Appalachians Superior Slave 40 2.0 Grenville 30 THO
1.5 20
–2 Average heat flow (mW Differentiation index ( 10 Qr = 33.0 mW m
1.0 H = 9.1 km 0 0.4 0.6 0.8 1.0 1.2 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 –3 µ –3 Average heat production (µW m ) AC ( W m ) Figure 15 Relationship between the average values of heat Figure 14 Crustal differentiation index D as a function of I flow and surface heat production for five large geological average crustal heat production in five large geological provinces of North America. Reproduced from Perry HKC, provinces of North America. Reproduced from Perry HKC, Jaupart C, Mareschal JC, and Bienfait G (2006) Crustal heat Jaupart C, Mareschal JC, and Bienfait G (2006) Crustal heat production in the Superior Province, Canadian Shield, and in production in the Superior Province, Canadian Shield, and in North America inferred from heat flow data. Journal of North America inferred from heat flow data. Journal of Geophysical Research 111, B04401 (doi:10.1029/ Geophysical Research 111, B04401 (doi:10.1029/ 2005JB003,893). 2005JB003,893).