constraints on global mantle flow and sks ... - geodynamics · lithosphere net rotation from...

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Constraints on Global Mantle Flow and Lithosphere Net Rotation from Seismic Anisotorpy Clinton P. Conrad Department of Geology and Geophysics SOEST, University of Hawaii Honolulu HI, 96816 [email protected] Mark D. Behn Department of Geology and Geophysics Woods Hole Oceanographic Institution Woods Hole MA, 02543 [email protected] Introduction: Asthenospheric Anisotropy Viscous shear in the asthenosphere accomodates relative motion between the Earth’s surface plates and underlying mantle, generating lattice-preferred orientation (LPO). Thus, observations of anisotropy can be used to constrain shear flow in the asthenosphere, which is produced by relative motion between the mantle and the tectonic plates. Anisotropy observations may also be influenced by lithospheric anisotropy, as well as the finite strain history of asthenospheric flow. Development of Asthenospheric Anisotropy When exposed to simple shear, the fast axis of olivine (A-type fabric) orients 45º from the maximum shear direction. Simple shear rotates this fabric into the infinite strain axis (ISA, the orientation after infinite deformation) at a rate Ω ISA (top). The Grain-Orientation Lag ( Π) We measure the Grain-Orientation Lag Parameter, Π, to determine where the infinite strain axis (ISA) approximates the lattice preferred orientation (LPO). We find that Π < 0.5 for most of the asthenosphere because simple shear orients the LPO in the direction of the ISA faster that the ISA itself rotates with the flow. By contrast, the slowly-deforming lithosphere can be distinguished from the asthenosphere by its large values of Π. SKS Splitting: A Constraint on Global Mantle Flow and Net Rotation By comparing the ISA direction with a global dataset of SKS splitting observations, we evaluate our global flow model’s ability to predict observed anisotropy. Because continental anisotropy may be influenced by a lithospheric component, we use oceanic observations only when calculating misfit. By varying α and β, we can determine relative importance of plate-driven, density-driven, and net rotation flows for an optimal fit to observations. We find 0.3 < β < 0.8 and α < 0.6 provide the best fit for an asthenospheric viscosity 10 times smaller than the upper mantle viscosity. More net rotation is permissible if the asthenospheric viscosity is higher, because less of the shear produced by net rotation is accommodated in the asthenosphere. Conclusions 1. The Infinite Strain Axis (ISA) is a good approximation for the Lattice Preferred Orientation (LPO) of olivine crystals throughout most of the asthenosphere: ISO~LPO because Π<0.5 This simplifies the anisotropy predictions because strain integration along flow lines is not necessary. 2. Using seismic anisotropy observations, we find that the combination of plate-driven and density-driven flows constrain upper mantle viscosity to ~0.5 x 10 21 Pa s, consistent with other estimates. 3. A net lithosphere rotation of 2-3 cm/yr (60% of HS3) is permitted by the anisotropy observations, consistnet with Becker’s [2008] constraint. Larger net rotation is possible for greater asthenospheric visosity, which reduces shear. 4. For oceans, anisotropy is dominated by asthenospheric shear flow, and the lithospheric contribution is small. For continents, lithospheric anisotropy is more important because continental lithosphere is thicker, older, and more deformed than its oceanic counterpart. References are available upon request. Also see: Conrad, C.P., M.D. Behn, and P.G. Silver, Global mantle flow and the development of seismic anisotropy: Differences between the oceanic and continental upper mantle, J. Geophys. Res., 112, B07317, doi:10.1029/2006JB004608, 2007. Oceanic vs. Continental Anisotropy We compare a global dataset of observed SKS splitting observations (top panel) with the predicted ISA axis determined from the global flow models. Using an approximate “best fit” choice of α=0.5 and β=0.4 (and an asthenospheric viscosity of η asth / η um = 0.1), we find the distribution of misfits shown on the left. It is clear that while oceanic stations are well fit, the continental stations are, on average, not well fit. We suggest that continents are poorly fit because their anisotropic fabric is dominated by a fossil lithospheric component that depends on a long geologic history of deformation, and cannot be predicted by mantle flow models. However, olivine crystals may also rotate with the flow (at a rate Ω flow ), if the flow deviates from simple shear (bottom). Kaminski and Ribe [2002] define the ratio of these two rotation rates as: Π = Ω flow / Ω ISA Thus, if Π < 1, the infinite strain axis is a good approximation for the LPO. We measure Π for viscous mantle flow to determine where the ISA may be used to estimate LPO. a) Density-Driven Flow: We assign mantle density heterogeneity inferred from seismic tomography (S20RTSb, Ritemsa et al., 2004) using a conversion factor of 0.15 g cm -3 km -1 s. b) Plate-Driven Flow (NNR): We impose plate motions (NUVEL-1A, DeMets et al., 1994) in the no-net-rotation (NNR) reference frame as velocity boundary conditions. c) Net Rotation (HS3) We impose a net rotation of the lithosphere consistent with the HS3 model of Gripp & Gordon [2002], which features a ~5 cm/yr westward net rotation of the lithosphere. Viscosity Structure: The lower lower mantle and asthenosphere have viscosities 50, and 0.1 times the upper mantle viscosity. The viscosity transition from lithosphere to asthenosphere is gradual and determined by the lithosphere thickness, which varies spatially (e.g., Conrad & Lithgow-Beretlloni, 2006). Models of Global Asthenospheric Flow We use the finite element code CitComS to solve for global mantle flow, using a linear combination of factors that produce relative motion between the plates and the underlying mantle: η asth / η um = 0.1 η asth / η um = 0.3 η asth / η um = 0.03 Surface Wave Tomography: Constraint on Mantle Flow Models We compare the surface wave tomography model of Debayle et al. [2005] (at 200 km depth) to our mantle flow model by varying α and β as we did for SKS splitting above. In oceanic regions where the anisotropy magnitude is more than 0.95% (25% of the maximum value, after Becker et al., [2003]), we find a similar pattern to what we found for the SKS splitting measurements (above). For surface wave anisortopy, we find best fits using 0.5 < β < 2 and α < 0.6. Again, an asthenospheric viscosity 10 times smaller than the upper mantle viscosity provides the best fit, and higher asthenospheric viscosity permits larger amounts of net rotation (larger α). η asth / η um = 0.1 η asth / η um = 1 η asth / η um = 0.3 η asth / η um = 0.03 η asth / η um = 1 Viscosity Scale Factor (log 10 β) Viscosity Scale Factor (log 10 β) Reference Frame Scale Factor (α) Reference Frame Scale Factor (α) Average Angular Misfit (Degrees) Viscosity Scale Factor (log 10 β) Viscosity Scale Factor (log 10 β) Reference Frame Scale Factor (α) Reference Frame Scale Factor (α) Average Angular Misfit (Degrees) Ocean Basins (N 0 =21) All Continents (N 0 =889) North America (N 0 =356) South America (N 0 =89) Europe & Asia (N 0 =822) Africa (N 0 =822) N/N 0 N/N 0 N/N 0 N/N 0 N/N 0 N/N 0 Misfit (Degrees)

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Page 1: Constraints on Global Mantle Flow and SKS ... - Geodynamics · Lithosphere Net Rotation from Seismic Anisotorpy Clinton P. Conrad Department of Geology and Geophysics SOEST, University

Constraints on Global Mantle Flow andLithosphere Net Rotation from Seismic Anisotorpy

Clinton P. ConradDepartment of Geology and Geophysics

SOEST, University of HawaiiHonolulu HI, [email protected]

Mark D. BehnDepartment of Geology and GeophysicsWoods Hole Oceanographic Institution

Woods Hole MA, [email protected]

Introduction: Asthenospheric AnisotropyViscous shear in the asthenosphere accomodates relativemotion between the Earth’s surface plates and underlyingmantle, generating lattice-preferred orientation (LPO). Thus,observations of anisotropy can be used to constrain shear flow inthe asthenosphere, which is produced by relative motionbetween the mantle and the tectonic plates. Anisotropyobservations may also be influenced by lithospheric anisotropy,as well as the finite strain history of asthenospheric flow.

Development ofAsthenosphericAnisotropyWhen exposed to simpleshear, the fast axis ofolivine (A-type fabric)orients 45º from themaximum shear direction.Simple shear rotates thisfabric into the infinite strainaxis (ISA, the orientationafter infinite deformation)at a rate ΩISA (top).

The Grain-Orientation Lag (Π)We measure the Grain-Orientation Lag Parameter, Π, todetermine where the infinite strain axis (ISA) approximates thelattice preferred orientation (LPO). We find that Π < 0.5 for mostof the asthenosphere because simple shear orients the LPO inthe direction of the ISA faster that the ISA itself rotates with theflow. By contrast, the slowly-deforming lithosphere can bedistinguished from the asthenosphere by its large values of Π.

SKS Splitting: A Constraint on Global Mantle Flow and Net RotationBy comparing the ISA direction with a global dataset of SKS splitting observations, weevaluate our global flow model’s ability to predict observed anisotropy. Becausecontinental anisotropy may be influenced by a lithospheric component, we use oceanicobservations only when calculating misfit. By varying α and β, we can determinerelative importance of plate-driven, density-driven, and net rotation flows for an optimalfit to observations. We find 0.3 < β < 0.8 and α < 0.6 provide the best fit for anasthenospheric viscosity 10 times smaller than the upper mantle viscosity. More netrotation is permissible if the asthenospheric viscosity is higher, because less of theshear produced by net rotation is accommodated in the asthenosphere.

Conclusions1. The Infinite Strain Axis (ISA) is a good approximation for

the Lattice Preferred Orientation (LPO) of olivine crystalsthroughout most of the asthenosphere:

ISO~LPO because Π<0.5This simplifies the anisotropy predictions because strainintegration along flow lines is not necessary.

2. Using seismic anisotropy observations, we find that thecombination of plate-driven and density-driven flowsconstrain upper mantle viscosity to ~0.5 x 1021 Pa s,consistent with other estimates.

3. A net lithosphere rotation of 2-3 cm/yr (60% of HS3) ispermitted by the anisotropy observations, consistnet withBecker’s [2008] constraint. Larger net rotation is possiblefor greater asthenospheric visosity, which reduces shear.

4. For oceans, anisotropy is dominated by asthenosphericshear flow, and the lithospheric contribution is small. Forcontinents, lithospheric anisotropy is more importantbecause continental lithosphere is thicker, older, and moredeformed than its oceanic counterpart.

References are available upon request. Also see:Conrad, C.P., M.D. Behn, and P.G. Silver, Global mantle flowand the development of seismic anisotropy: Differencesbetween the oceanic and continental upper mantle, J. Geophys.Res., 112, B07317, doi:10.1029/2006JB004608, 2007.

Oceanic vs.ContinentalAnisotropyWe compare a globaldataset of observed SKSsplitting observations (toppanel) with the predictedISA axis determined fromthe global flow models.Using an approximate“best fit” choice of α=0.5and β=0.4 (and anasthenospheric viscosityof ηasth / ηum = 0.1), wefind the distribution ofmisfits shown on the left.It is clear that whileoceanic stations are wellfit, the continentalstations are, on average,not well fit. We suggestthat continents are poorlyfit because theiranisotropic fabric isdominated by a fossillithospheric componentthat depends on a longgeologic history ofdeformation, and cannotbe predicted by mantleflow models.

However, olivine crystals may also rotate with the flow (at arate Ωflow), if the flow deviates from simple shear (bottom).Kaminski and Ribe [2002] define the ratio of these tworotation rates as:

Π = Ωflow / ΩISAThus, if Π < 1, the infinite strain axis is a good approximationfor the LPO. We measure Π for viscous mantle flow todetermine where the ISA may be used to estimate LPO.

a) Density-Driven Flow:We assign mantle density heterogeneity inferred from seismictomography (S20RTSb, Ritemsa et al., 2004) using aconversion factor of 0.15 g cm-3 km-1 s.

b) Plate-Driven Flow (NNR):We impose plate motions (NUVEL-1A, DeMets et al., 1994) inthe no-net-rotation (NNR) reference frame as velocityboundary conditions.

c) Net Rotation (HS3)We impose a net rotation of the lithosphere consistent with theHS3 model of Gripp & Gordon [2002], which features a ~5cm/yr westward net rotation of the lithosphere.

Viscosity Structure:The lower lower mantle and asthenosphere have viscosities50, and 0.1 times the upper mantle viscosity. The viscositytransition from lithosphere to asthenosphere is gradual anddetermined by the lithosphere thickness, which variesspatially (e.g., Conrad & Lithgow-Beretlloni, 2006).

Models of Global Asthenospheric FlowWe use the finite element code CitComS to solve for global mantle flow, usinga linear combination of factors that produce relative motion between the platesand the underlying mantle:

ηasth / ηum = 0.1

ηasth / ηum = 1ηasth / ηum = 0.3

ηasth / ηum = 0.03

Surface Wave Tomography: Constraint on Mantle Flow ModelsWe compare the surface wave tomography model of Debayle et al. [2005] (at 200 kmdepth) to our mantle flow model by varying α and β as we did for SKS splitting above.In oceanic regions where the anisotropy magnitude is more than 0.95% (25% of themaximum value, after Becker et al., [2003]), we find a similar pattern to what wefound for the SKS splitting measurements (above). For surface wave anisortopy, wefind best fits using 0.5 < β < 2 and α < 0.6. Again, an asthenospheric viscosity 10times smaller than the upper mantle viscosity provides the best fit, and higherasthenospheric viscosity permits larger amounts of net rotation (larger α).

ηasth / ηum = 0.1

ηasth / ηum = 1ηasth / ηum = 0.3

ηasth / ηum = 0.03

ηasth / ηum = 1

Viscosity Scale Factor (log10 β)Viscosity Scale Factor (log10 β)

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Fac

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Fra

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Average Angular Misfit (Degrees)

Viscosity Scale Factor (log10 β)Viscosity Scale Factor (log10 β)

Ref

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e S

cale

Fac

tor (α

)R

efer

ence

Fra

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Sca

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r (α

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Average Angular Misfit (Degrees)

Ocean Basins (N0=21)

All Continents (N0=889)

North America (N0=356)

South America (N0=89)

Europe & Asia (N0=822)

Africa (N0=822)

N/N

0N

/N0

N/N

0N

/N0

N/N

0N

/N0

Misfit (Degrees)