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Variations in melt supply along an orthogonal supersegment of the Southwest Indian Ridge (16°–25°E)
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Caicai Zha1, 2, 3, 5, 6, Jian Lin1, 2, 3, 4, 6, *, Zhiyuan Zhou1, 2, 3, Xubo Zhang1, 2, 3, Min Xu1, 2, 3, Fan Zhang1, 2, 3
Acta Oceanologica Sinica | 2021, 40(5) : 94 - 104
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Acta Oceanologica Sinica | 2021, 40(5): 94-104
Marine Geology
Variations in melt supply along an orthogonal supersegment of the Southwest Indian Ridge (16°–25°E)
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Caicai Zha1, 2, 3, 5, 6, Jian Lin1, 2, 3, 4, 6, *, Zhiyuan Zhou1, 2, 3, Xubo Zhang1, 2, 3, Min Xu1, 2, 3, Fan Zhang1, 2, 3
Affiliations
  • 1 Key Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences, Guangzhou 510301, China
  • 2 Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
  • 3 China-Pakistan Joint Research Center on Earth Sciences, CAS-HEC, Islamabad 45320, Pakistan
  • 4 Department of Geology and Geophysics, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA
  • 5 University of Chinese Academy of Sciences, Beijing 100049, China
  • 6 Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Published: 2021-05-25 doi: 10.1007/s13131-021-1724-3
Outline
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The orthogonal supersegment of the ultraslow-spreading Southwest Indian Ridge at 16°–25°E is characterized by significant along-axis variations of mantle potential temperature. A detailed analysis of multibeam bathymetry, gravity, and magnetic data were performed to investigate its variations in magma supply and crustal accretion process. The results revealed distinct across-axis variations of magma supply. Specifically, the regionally averaged crustal thickness reduced systematically from around 7 Ma to the present, indicating a regionally decreasing magma supply. The crustal structure is asymmetric in regional scale between the conjugate ridge flanks, with the faster-spreading southern flank showing thinner crust and greater degree of tectonic extension. Geodynamic models of mantle melting suggested that the observed variations in axial crustal thickness and major element geochemistry can be adequately explained by an eastward decrease in mantle potential temperature of about 40°C beneath the ridge axis. In this work, a synthesized model was proposed to explain the axial variations of magma supply and ridge segmentation stabilities. The existence of large ridge-axis offsets may play important roles in controlling melt supply. Several large ridge-axis offsets in the eastern section (21°–25°E) caused sustained along-axis focusing of magma supply at the centers of eastern ridge segments, enabling quasi-stable segmentation. In contrast, the western section (16°–21°E), which lacks large ridge-axis offsets, is associated with unstable segmentation patterns.

ultraslow-spreading ridge  /  Southwest Indian Ridge  /  ridge segmentation  /  asymmetric accretion  /  melt supply  /  mantle temperature gradient
Caicai Zha, Jian Lin, Zhiyuan Zhou, Xubo Zhang, Min Xu, Fan Zhang. Variations in melt supply along an orthogonal supersegment of the Southwest Indian Ridge (16°–25°E)[J]. Acta Oceanologica Sinica, 2021 , 40 (5) : 94 -104 . DOI: 10.1007/s13131-021-1724-3
The segmentation of mid-ocean ridges has long been recognized as a fundamental feature of the seafloor spreading system, and different orders of ridge-axis discontinuities have been classified (Schouten et al., 1985; Macdonald et al., 1991). The first-order transform faults (TFs) offset the ridge-axis by strike-slip faults, typically with offset length of more than 30 km (e.g., Macdonald et al., 1991; Fox and Gallo, 1984). The second-order non-transform discontinuities (NTDs) typically have smaller offsets (about 2–30 km) (e.g., Macdonald et al., 1991; Sempéré et al., 1993). From the perspective of magmatic segmentation, segment centers are fed by focused magma supply and are thus associated with shallower seafloor and thicker crust, while the NTDs at the segment ends have less magma supply and deeper ridge-axis valleys (Lin et al., 1990; Tolstoy et al., 1993; Canales et al., 2000; Hooft et al., 2000; Hosford et al., 2001; Carbotte et al., 2015). Segments fed by more robust magma supply could migrate along the ridge axis, forming V-shaped NTD traces on both flanks (e.g., Gente et al., 1995; Tucholke et al., 1997; Wang et al., 2015; Dannowski et al., 2018; Zheng et al., 2019).
Many of the NTDs show long-lived characteristics, leaving clear tracks on ridge flanks that could be traced as coherent zones for millions of years (Pariso et al., 1995; Tucholke et al., 1997; Wang et al., 2015; Zheng et al., 2019). In contrast, some other NTDs are relatively short-lived, experiencing rapid migration and emergence/demise in short episodes, resulting in irregular-shaped configurations on ridge flanks (e.g., Gente et al., 1995; Cannat et al., 2003). Although NTDs are widely observed at slow- and ultraslow-spreading ridges, the tectonic factors controlling their stability are still poorly understood.
The Southwest Indian Ridge (SWIR) is the longest ultraslow-spreading (14–16 mm/a, Patriat et al., 1997) ridge system on earth. The SWIR exhibits strong along-axis variations in ridge-axis morphology and crustal structure (Grindlay et al., 1998; Georgen et al., 2001; Sauter et al., 2001; Cannat et al., 2003; Dick et al., 2003), providing a unique opportunity to investigate ridge segment evolution and stability at an ultraslow-spreading rate. The ridge segments within the orthogonal supersegment of the SWIR at 16°–25°E show distinct variations in segment stability and off-axis structure (Fig. 1). The off-axis TF/NTD traces are coherent in the eastern section (21°–25°E) near the Du Toit and Andrew Bain TFs and can be traced out to at least 60 Ma. The S-shaped curvatures of the TF/NTD are visible on the residual free-air gravity anomaly (RFAA, the calculating method is shown in Fig. S1) map, revealing a complex history of rapid plate motion changes of the SWIR (Bernard et al., 2005). In contrast, the western section (16°–21°E) lacks coherent off-axis NTD traces (Fig. 1).
Previous studies have revealed significant spatial variations in geophysical anomalies and geochemical characteristics along this orthogonal supersegment. Grindlay et al. (1998) suggested that the western and eastern sections of the orthogonal supersegment were underlain by relatively warm and cold mantle, respectively. Standish et al. (2008) analyzed basalt samples collected along the orthogonal supersegment (Dick et al., 2003), revealing eastward decreases in the average mantle melting degree (based on Na8.0) and initial mantle melting depth (based on Fe8.0), which is consistent with the overall eastward decrease in crustal thickness. The combined geological, geophysical, and geochemical data thus offer an excellent opportunity to investigate ridge segmentation, crustal structure, and mantle melting at an ultraslow-spreading ridge.
In this study, the spatial and temporal variations of crustal production along the SWIR at 16°–25°E were investigated by analyzing on- and off-axis multibeam bathymetry, shipboard gravity, and magnetic data. The along-axis variations in mantle potential temperature and melting were estimated by using the observed major element geochemistry and gravity-derived crustal thickness and geodynamic models of mantle melting. Finally, a synthesized geological model was proposed to explain the differences in crustal production and segment stability between the western and eastern sections.
Multibeam bathymetry data of the SWIR at 16°–25°E were collected during the KN145L16 Cruise in 1996 (Grindlay et al., 1998) and were downloaded from http://www.marine-geo.org. The multibeam data have a spatial resolution of about 100 m. For areas lacking multibeam coverage (e.g., the gaps between track lines and regions outside the survey area), the synthesized bathymetry from the combination of satellite gravity-derived bathymetry and shipboard measurements was used. The synthesized bathymetry has an average spatial resolution of 15 arc-seconds (Tozer et al., 2019), although the local resolution is variable (Zhang et al., 2019). A total of 12 ridge segments were identified based on ridge axis morphology and were given segment names of S3–S14 based on the definition of Grindlay et al. (1998) (Fig. 2).
The magnetic data were obtained from the database of DeMets et al. (2015), including data collected by research cruises of multiple countries. DeMets et al. (2015) identified magnetic anomalies in nearly 7 000 shiptrack lines and selected 4 822 reversal crossings to construct a relatively high-resolution crustal age model of the SWIR from about 20 Ma to the present. The estimated average spreading rates on the southern and northern flanks were 0.74 cm/a and 0.6 cm/a, respectively (Fig. S2).
To obtain the mantle Bouguer anomaly (MBA) (Fig. 3a), the gravitational effects of the water/upper crust, upper/lower crust, and lower crust/mantle interfaces were subtracted from the free-air gravity anomaly (FAA), using the Fast Fourier Transform method of Parker (1973) and assuming a reference model with a 2-km-thick upper crust and a 4-km-thick lower crust (Grindlay et al., 1998). The densities of the seawater, upper crust, lower crust, and mantle were assumed to be 1 030 kg/m3, 2 400 kg/m3, 2 700 kg/m3 and 3 300 kg/m3, respectively.
The regional thermal structure of a 100-km-thick mantle layer beneath an orthogonal ridge-transform-ridge system with an idealized surface plate geometry was calculated (Fig. S3). The actual plate boundary geometry was approximated using a series of ridge segments that are connected by orthogonal offsets. A 3D mantle velocity field assuming passive upwelling and the corresponding mantle temperature field were then calculated by using the methods of Phipps Morgan and Forsyth (1988) (Table 1). The asymmetric half-spreading rates, as described in Section 2.2 (Fig. S2), were imposed on the surface boundary. The calculated mantle temperature field was then converted to a 3D density grid, yielding the gravity effects of a mantle thermal structure (Georgen et al., 2001) (Fig. S3).
Residual mantle Bouguer anomaly (RMBA) was obtained by subtracting the thermal corrections from the MBA. The resultant RMBA reflects spatial variations in crustal thickness and deviations from the assumed reference models of constant crustal and mantle densities (Fig. 3b).
An end-member model of crustal thickness variations was calculated by the downward continuation of the RMBA to a reference depth of 9 km below sea-level (i.e., the summation of the average crustal thickness of 6 km and average water depth of 3 km in the study area) (Fig. 3c). A crust/mantle density contrast of 0.6×103 kg/m3 (e.g., Kuo and Forsyth, 1988; Lin et al., 1990) was assumed. To avoid instabilities that are inherent in the downward continuation of short-wavelength anomalies, a cosine taper filter was used to minimize the RMBA signals outside of the interested wavelength window between 25 km and 35 km.
Constrained by the observed variations of crustal thickness and major element geochemistry (Na8.0 and Fe8.0), a series of 2D mid-ocean ridge spreading models were constructed to estimate the mantle temperature gradient along the orthogonal supersegment (Gregg et al., 2009; Zhang et al., 2018). In the 2D numerical models, the top surface plates were assumed to move apart at a mean half-spreading rate U=0.67 cm/a, and the surface mantle temperature was fixed at T0=0°C; meanwhile, the base of the model domain at depth D=100 km was set as an open boundary with a given mantle potential temperature Tp. The sides of the model domain were set as open boundaries with no horizontal heat flux. The full model parameters were given in Table 2. Based on the calculated mantle flow and thermal structure, the BG15 melting model with a constant melt productivity of 0.1 GPa–1 (Behn and Grove, 2015) was used to estimate melt fraction and resultant melt composition at each grid in the model domain.
The crustal thickness at the ridge axis was calculated by integrating the melt production rate over the melting region divided by the spreading rate (Forsyth, 1993). This model assumed that the melt first migrated vertically, then moved laterally along a low permeability boundary (e.g., bottom of the mantle lithosphere), and finally aggregated beneath the ridge axis (e.g., Sparks et al., 1993; Magde and Sparks, 1997). The major element compositions of the melt aggregated beneath the ridge axis were estimated by pooling all incremental melt compositions and weighing them by the melt production rate (Behn and Grove, 2015). The melt production rate was defined as the product of the melt productivity and mantle upwelling velocity. In addition, to compare with the observed Na8.0 and Fe8.0, the model of Yang et al. (1996) was used to calculate the fractional crystallization path of the aggregated melt. The pressure of crystallization was assumed to be 0.1 GPa (Standish et al., 2008).
The along-axis topography west of 21.5°E (segments S3 to S9) shows a regional eastward decreasing trend, and local variations within segments S10 to S13 appear to be superimposed on the regional topographic trend. Segment S14 is directly affected by the thermal effect of the 150-km-long Du Toit transform fault (DTTF) (red line in Fig. 4a). The along-axis variations in MBA, with an amplitude of up to 90 mGal, reveal a regional eastward increasing trend from a local minimum at 17.5°E (−20 mGal) to a maximum (70 mGal) at the eastern ridge-transform intersection (RTI). The calculated along-axis thermal effect of the DTTF is about 37 mGal and is limited to a region east of 23.2°E within a distance of about 125 km west of the RTI (Fig. 4b). Thus, the abrupt increases in the MBA east of 23.2°E could be explained by the DTTF thermal cooling effect, as predicted by the 3D passive mantle upwelling model. However, the remaining regional eastward increase of the MBA west of 23.2°E can not be explained by the DTTF cooling effect (Fig. 4b).
The results show that the off-axis morphology of the orthogonal supersegment varies strongly along ridge strike, with some segments have relatively coherent off-axis NTD traces while others do not (Figs 1 and 2). To better illustrate the differences between areas with relatively stable versus unstable segmentation, the study area was divided into seven zones (Z1–Z7, Figs 2 and 3) according to the characteristic variation patterns of the morphology and MBA.
The western-most zone Z1 is characterized by uplifted topography, small abyssal hills, and numerous volcanic cones. Linear abyssal hills are pervasive in the western part of zone Z2, while the eastern part is characterized by V-shaped topographic highs on both flanks. zones Z3 and Z4 are in a discordant zone, and the overall strike of the axial valley is approximately 10° counterclockwise from the regional strike of the orthogonal supersegment (Grindlay et al., 1998). The ridge axis has a relatively large offset that is associated with a wide and deep inter-segment basin between segments S9 and S10. The off-axis morphology in zones Z3 and Z4 are dominated by blocky terrains. Further east, zone Z5 has two well-defined ridge segments (segments S11 and S12 in Fig. 2), the V-shaped NTD traces on the ridge flanks indicate westward migration of segment S13 in zone Z6. Segment S14 in zone Z7 appears to have formed just a few million years ago in association with the westward migration of segment S13 (Figs 1 and 2).
The MBA, RMBA and relative crustal thickness show strong along- and across-axis variations (Fig. 3). Zone Z1 contains a large domain of negative MBA, and the thicker crust within zone Z1 indicates that this is an area of relatively robust magma supply. The MBA in zone Z2 is well elongated along the ridge axis with the most negative values slightly shift to the northern flank. The RMBA in zone Z2 varies little on the northern flank, but has three prominent positive domains on the southern flank. Zone Z3 is characterized by two small circular MBA lows that correspond to the two axial neovolcanic zones. Zone Z4 is characterized by a strongly asymmetric MBA pattern between conjugate ridge flanks, with the southern flank showing more positive MBA. Zone Z5 has a domain of large negative MBA on the northern flank. Crustal thickness appears to have decreased from the ridge flanks to the spreading axis. Zone Z6 shows strong variations in the MBA across the ridge axis, with alternating thicker and thinner crust on both flanks. Lastly, zone Z7 is adjacent to the DTTF and shows the most positive MBA among all zones. A domain of relatively thick crust is located at the inside corner, coinciding with a large seamount (Grindlay et al., 1998).
The MBA contains effects of long-wavelength plate cooling and short-wavelength crustal thickness fluctuations in across-axis direction. The observed across-axis variations in the MBA for some zones (e.g., zones Z1 and Z2) appear to fit well with the long-wavelength predictions of the 3D plate cooling model. Meanwhile, other zones show relatively large deviations either on both flanks (e.g., zones Z3, Z4, and Z5) or only on the northern flank (e.g., zones Z6 and Z7; Fig. 5).
The regionally averaged RMBA shows a general trend of increase from the ridge flanks to the spreading axis, while there is considerable local variability in the near axis part on the southern flank (Fig. 6). Furthermore, the regionally averaged RMBA shows significant asymmetry between the conjugate flanks, with relatively more positive RMBA on the southern flank (Fig. 6). However, the locally averaged RMBA and crustal thickness show large variations both along- and across-axis directions in each zone (Fig. 7). Zones Z1 and Z2 have thicker crust and their calculated across-axis fluctuations are less than 1 km (Fig. 7c). In contrast, the crustal thickness variations in the further eastern zones (zones Z3 to Z7) are larger and more complicated (Figs 7a and b). Zone Z5 has crustal thickness fluctuations of up to 2.5 km, which is the largest variation among all zones (Fig. 7c). The thickest part of zone Z5 is in the distal northern flank (Fig. 7b). The across-axis crustal thickness variations in zones Z3 and Z4 are about 1.5 km, while in zones Z6 and Z7, the variations are more than 2 km (Fig. 7c).
The along-axis residual topography and RMBA show correlated variations, with shallow topography and negative RMBA at segment centers (Figs 8a and b). The NTDs between segments S9 and S10 and between S13 and S14 are associated with deeper topography and more positive RMBA than that of DTTF (Figs 8a and b). These NTDs make segments S9, S10, S13, and S14 possess the prominent intra-segment RMBA variations (Fig. 8c). The observed geochemical variations (Na8.0 and Fe8.0) along the orthogonal supersegment are best-fitted by models with mantle potential temperate of 1 340–1 380°C. The estimated mantle potential temperature is approximately 1 380°C at the western end of the study region and approximately 1 340°C at the eastern end (Figs 8e and f). The mantle melting models predict a change of about 2 km in crustal thickness for a mantle potential temperature change of 40°C, and this result is consistent with the observed gradual westward increase in the gravity-derived crustal thickness (Fig. 8d).
In addition, the intra-segment mean variations and limits of the along-axis in Na8.0, Fe8.0 and RMBA were calculated. The segment-averaged Na8.0 shows negative and positive correlations with the segment-averaged Fe8.0 (Fig. 9a) and RMBA (Fig. 9b), respectively. Meanwhile, the segment-averaged Fe8.0 shows negative correlation with the RMBA (Fig. 9c). The western most part, which has a mantle potential temperature of 1 380°C, is associated with deeper initial mantle melting depth, higher maximum mantle melting degree, and larger size of melting zone (Fig. 9d).
The temporal changes in magma supply of a ridge segment can be reflected in across-axis variations in RMBA (e.g., Pariso et al., 1995; Cannat et al., 2003; Wang et al., 2015; Zheng et al., 2019). The observed RMBA at the orthogonal supersegment shows strong across-axis variations. The regionally averaged RMBA show systematic increase from the ridge flanks to the axis (Fig. 6), indicating a regionally gradual reduction in magma from approximately 7 Ma to the present. The age-dependent fluctuations in the inferred magma supply are greater at the eastern section (zones Z5 to Z7) than that in the western section (zones Z1 to Z2) (Fig. 7c).
Furthermore, the southern flank appears to have thinner crust as indicated by the more positive RMBA on the regional scale (Fig. 6). The calculated average spreading rate of the southern flank is about 1.4 mm/a (i.e., around 21% of the average half-spreading rate) faster than that of the northern flank for the past 7 Ma (Fig. S2), suggesting that a greater amount of tectonic stretching might have occurred in the southern flank to accommodate faster spreading, which is similar to the local asymmetric spreading and tectonic extension of individual segments at the Mid-Atlantic Ridge (e.g., Escartín et al., 1999; Wang et al., 2015). However, a single segment may have experienced a complex history of magmatic-tectonic variations, such as in segment S13 (Figs 3b and c). Together, the presented results reveal considerable spatial and temporal variations in the magmatic and tectonic processes of the ultraslow-spreading ridge.
The western section (16°–21°E) of the orthogonal supersegment differs significantly from the eastern section (21°–25°E) in several important aspects: (1) ridge segments in the western section are relatively short lived (i.e., lack coherent off-axis NTD traces, Grindlay et al., 1998) and are thus related to unstable segmentation. Some NTDs of the eastern section can be traced off-axis for tens of millions years (Figs 1 and 2) (Bernard et al., 2005) and are thus attributed to quasi-stable segmentation; (2) the ridge axis of the western section is associated with thicker crust, higher mantle melting degree (lower Na8.0), and greater initial mantle melting depth of (higher Fe8.0) than that of the eastern section (Figs 8df) (Standish et al., 2008). The best-fitting models show that the initial mantle melting depth is 72 km and that the maximum mantle melting degree can be up to 16% at the western most part, while those of the eastern most part are 60 km and 12%, respectively (Fig. 9d); (3) the inferred axial mantle potential temperature shows an eastward decrease of about 40°C along the orthogonal supersegment (Fig. 8), and this result is consistent with the estimation by a global joint inversion of ridge depth, major element geochemistry, and seismic shear wave velocity (Dalton et al., 2014); (4) the amplitude of the segment-scale along-axis variations in RMBA is the greatest at segments S9, S10, S13, and S14 (Fig. 8c); and this was interpreted to reflect the relatively strong along-axis focusing of melts (e.g., Lin and Phipps Morgan, 1992; Sauter et al., 2001; Cannat et al., 2003).
A synthesized model of mantle melting and crustal structure of the orthogonal supersegment was proposed based on the combined constraints from the geophysical and geochemical data and geodynamical modeling (Fig. 10). In the synthesized model, the average mantle potential temperature is greater beneath the western section than that beneath the eastern section. The lowest mantle temperature is beneath segment S14, potentially reflecting the 3D mantle cooling effect of the DTTF (Fig. 4). Meanwhile, the amplitude of the segment-scale variations in crustal thickness (grey area, Fig. 10) may reflect melt focusing toward the centers of individual segments. Such melt focusing is the strongest at segments S9, S10, S13, and S14 (solid red arrows, Fig. 10), and is weaker at other segments, e.g., segments S5 and S6 (dashed red arrows, Fig. 10).
The off-axis stability of the ridge segments in the orthogonal supersegment appears to correlate with the degree of along-axis melt focusing of the segments (Fig. 10). The results show that segments S9, S10, S13, and S14, which have the greatest degree of along-axis melt focusing, are also associated with relatively coherent off-axis NTD traces and thus show quasi-stable segmentation (top view, Fig. 10). In contrast, the ridge segments of the western section are associated with lower degree of along-axis melt focusing and lesser coherent off-axis NTD traces. A more complete quantification of the relationship between melt focusing and segment stability, however, requires future further investigations.
Analyses of gravity, magnetic, and multibeam bathymetric data of the SWIR at 16°–25°E reveal systematic along- and across-axis variations in crustal structure, reflecting significant changes in mantle temperature and melting.
(1) The results indicate that the regionally averaged crustal thickness reduced systematically from approximately 7 Ma to the present, indicating a general decrease in regional magma supply.
(2) The crustal structure is asymmetric between the conjugate ridge flanks on a regional scale. The faster-spreading southern flank is associated with a slightly thinner crust, possibly reflecting a greater degree of tectonic extension to accommodate more plate separation. However, the crustal accretion process in local scales shows strong temporal and spatial variations.
(3) The axial crustal thickness decreases systematically eastward, correlating with decreases in the average degree and initial depth of mantle melting as inferred from the observed variations in Na8.0 and Fe8.0. The 2D models of mantle melting suggest that the observed variations in crustal thickness and major element geochemistry can be explained by an eastward decrease in the mantle potential temperature of about 40°C from approximately 1 380°C at the western end to approximately 1 340°C at the eastern end.
(4) Segmentation in the western section of the supersegment is relatively unstable, while that of the eastern section is quasi-stable. It was hypothesized that the relatively large ridge-axis offsets in the eastern section may have resulted in sustained focusing of magma supply at the centers of individual segments and relatively stable segmentation.
We thank two anonymous reviewers for comments that helped to improve the manuscript. We benefited from discussion with the Deep Ocean Geodynamics Group at the South China Sea Institute of Oceanology. Figures were drawn using the GMT software of Wessel and Smith (1998).
  • The Program of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) under contract No. GML2019ZD0205; the National Natural Science Foundation of China under contract Nos 41890813, 41976066, 41976064, 91858207, 91958211 and 91628301; the Program of Chinese Academy of Sciences under contract Nos Y4SL021001, QYZDY-SSW-DQC005 and 133244KYSB20180029; the National Key Research and Development Program of China under contract Nos 2018YFC0309800 and 2018YFC0310105; the Guangdong Basic and Applied Basic Research Foundation under contract No. 2021A1515012227; the Program of China Ocean Mineral Resources Research and Development Association under contract No. DY135-S2-1-04.
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Year 2021 volume 40 Issue 5
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doi: 10.1007/s13131-021-1724-3
  • Receive Date:2020-03-05
  • Online Date:2026-03-03
  • Published:2021-05-25
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  • Received:2020-03-05
  • Accepted:2020-05-03
Funding
The Program of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) under contract No. GML2019ZD0205; the National Natural Science Foundation of China under contract Nos 41890813, 41976066, 41976064, 91858207, 91958211 and 91628301; the Program of Chinese Academy of Sciences under contract Nos Y4SL021001, QYZDY-SSW-DQC005 and 133244KYSB20180029; the National Key Research and Development Program of China under contract Nos 2018YFC0309800 and 2018YFC0310105; the Guangdong Basic and Applied Basic Research Foundation under contract No. 2021A1515012227; the Program of China Ocean Mineral Resources Research and Development Association under contract No. DY135-S2-1-04.
Affiliations
    1 Key Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences, Guangzhou 510301, China
    2 Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
    3 China-Pakistan Joint Research Center on Earth Sciences, CAS-HEC, Islamabad 45320, Pakistan
    4 Department of Geology and Geophysics, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA
    5 University of Chinese Academy of Sciences, Beijing 100049, China
    6 Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China

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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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