1 Auxiliary material for 2 “Quantifying temporal variations in landslide-driven sediment production by 3 reconstructing paleolandscapes using tephrochronology and lidar: Waipaoa River, New 4 Zealand” 5 6 Corina Cerovski-Darriau*1 7 Joshua J. Roering1 8 Michael Marden2 9 Alan S. Palmer3 10 Eric L. Bilderback4 11 12 1. Department of Geological Sciences, University of Oregon, Eugene, OR USA 97403-1272 13 2. Landcare Research, Gisborne 4040, New Zealand 14 3. Institute of Natural Resources, Massey University, Palmerston North, New Zealand 15 4. Geologic Resources Division, National Park Service, Lakewood, CO USA 80228 16 17 18 Geochemistry, Geophysics, Geosystems (G-Cubed) 19 1. Introduction 20 The supplemental information contains extended methods descriptions (Text S1), 5 supplemental 21 figures (Figure S1-S5), and 4 supplemental tables (Table S1-S4). 22 1. text01.docx: Supplemental methodological descriptions of the electron microprobe 23 analysis, roughness calculations, determination of the modified Hack’s constant, 24 reconstruction trials set-up, and error analysis. 25 2. fs01.pdf: Binary plots of tephra composition comparing K2O to (a) MgO, (b) FeO, (c) 26 MnO, and (d) TiO2 for all probed basal tephra samples. Circles represent resulting 27 compositions from microprobe analysis completed for this study, and crosses represent 28 control sample composition from Lowe et al. [2008] (Kh=Kaharoa, Op=Opepe, 29 Om=Omataroa, Ro=Rotoma, Re=Rerewhakaaitu, Tp=Taupo, Wm=Waimihia, 30 Wk=Whakatane). Sample numbers correspond to sample locations (Figure 1c). Full 31 major oxide composition of all probed samples is included in the Table S1. 32 3. fs02.pdf: Roughness ratio for each sample pit location averaged over a 15 m window. 33 These results were then binned by tephra (except Opepe) and averaged to determine the 34 mean roughness used for each timestep in Figures 2c & S3. Sample numbers correspond 35 to sample locations on Figure 1c. 36 4. fs03.pdf: Power law regression fit of mean roughness for binned samples with 15 m 37 smoothing of Rotoma (9.5 ka), Whakatane (5.5 ka), Waimihia (3.4 ka), Taupo (1.7 ka), 38 and no tephra. Compared to linear regression fit in Figure 2c. 39 5. fs04.pdf: (a) Outlines of active earthflows in the Mangataikapua, mapped in ArcGIS 40 from the 2010 lidar hillshade and corresponding orthophoto. (b) Earthflows in the upper 41 watershed are predominantly narrower and do not intersect the Mangataikapua stream. 42 (c) Earthflows in the lower watershed often encompass their entire source catchment and 43 are directly coupled with the Mangataikapua stream, forming large toes that displace the 44 channel. 45 6. 46 47 48 fs05.tif: Resulting fit from MATLAB’s cubic spline interpolation for each timestep: (a) LGM, (b) Rotoma, (c) Whaktane, and (d) Waimihia. 7. ts01.xlsx: EMPA results (average composition), roughness, and predicted tephra. Data used for Figure 2. 49 7.1 Column “Pit #”, sample number, corresponds to pits shown on Figure 1c 50 7.2 Column “Puck”, EMPA puck number, corresponds to physical sample probed 51 7.3 Column “Type”, pit/auger, describes sampling method 52 7.4 Column “Sample Depth”, m, depth of probed sample 53 7.5 Column “EMPA Tephra”, tephra based on EMPA analysis 54 7.6 Column “Alt”, possible alternative tephra 55 7.7 Column “Predicted Fit”, predicted tephra based on linear regression of roughness 56 vs. age 57 7.8 Column “Age (ky)”, ky, eruption age of corresponding EMPA tephra 58 7.9 Column “n (shards)”, number of shards, total useable shards corresponding to the 59 60 61 62 63 reported EMPA tephra 7.10 Column “Raw”, roughness ratio, based on raw surface area:planar area ratio from Jenness DEM Surface Tools 7.11 Column “Smooth (15m)”, roughness ratio, based on values from a smoothed DEM (produced using a 15m averaging window) 64 65 7.12 Column “Buffered (15m)”, roughness ratio, based on values determined from a 15m buffering window centered on each sample point 66 7.13 Column “Latitude”, deg, latitude of the sample location 67 7.14 Column “Longitude”, deg, longitude of the sample location 68 7.15 Column “Na2O”, avg wt. % (normalized to 100% with H2O representing the 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 difference), resulting oxide composition of the corresponding sample from EMPA 7.16 Column “SiO2”, avg wt. % (normalized to 100% with H2O representing the difference), resulting oxide composition of the corresponding sample from EMPA 7.17 Column “K2O”, avg wt. % (normalized to 100% with H2O representing the difference), resulting oxide composition of the corresponding sample from EMPA 7.18 Column “Al2O3”, avg wt. % (normalized to 100% with H2O representing the difference), resulting oxide composition of the corresponding sample from EMPA 7.19 Column “MgO”, avg wt. % (normalized to 100% with H2O representing the difference), resulting oxide composition of the corresponding sample from EMPA 7.20 Column “FeO”, avg wt. % (normalized to 100% with H2O representing the difference), resulting oxide composition of the corresponding sample from EMPA 7.21 Column “CaO”, avg wt. % (normalized to 100% with H2O representing the difference), resulting oxide composition of the corresponding sample from EMPA 7.22 Column “MnO”, avg wt. % (normalized to 100% with H2O representing the difference), resulting oxide composition of the corresponding sample from EMPA 7.23 Column “TiO”, avg wt. % (normalized to 100% with H2O representing the difference), resulting oxide composition of the corresponding sample from EMPA 7.24 Column “Na2O”, wt %, standard deviation (±1 σ) of corresponding reported oxide 86 87 composition from EMPA 7.25 Column “SiO2”, wt %, standard deviation (±1 σ) of corresponding reported oxide 88 89 composition from EMPA 7.26 Column “K2O”, wt %, standard deviation (±1 σ) of corresponding reported oxide 90 91 composition from EMPA 7.27 Column “Al2O3”, wt %, standard deviation (±1 σ) of corresponding reported oxide 92 93 composition from EMPA 7.28 Column “MgO”, wt %, standard deviation (±1 σ) of corresponding reported oxide 94 95 composition from EMPA 7.29 Column “FeO”, wt %, standard deviation (±1 σ) of corresponding reported oxide 96 97 composition from EMPA 7.30 Column “CaO”, wt %, standard deviation (±1 σ) of corresponding reported oxide 98 99 composition from EMPA 7.31 Column “MnO”, wt %, standard deviation (±1 σ) of corresponding reported oxide 100 101 composition from EMPA 7.32 Column “TiO”, wt %, standard deviation (±1 σ) of corresponding reported oxide 102 103 104 105 106 composition from EMPA 8. ts02.xlsx: Field identified tephra 8.1 Column “Pit #”, sample number, corresponds to unlabeled, non-EMPA pits (smaller circles) shown on Figure 1c 107 8.2 Column “Type”, pit/auger, describes sampling method 108 8.3 Column “Depth”, m, depth of collected sample 109 8.4 Column “Field Tephra”, tephra determined based on field characteristics 110 8.5 Column “Predicted Fit”, predicted tephra based on linear regression of roughness 111 vs. age 112 8.6 Column “Age (ky)”, ky, eruption age of corresponding field identified tephra 113 8.7 Column “Latitude”, deg, latitude of the sample location 114 8.8 Column “Longitude”, deg, longitude of the sample location 115 8.9 Column “Smooth (15m)”, roughness ratio, based on values from a smoothed DEM 116 (produced using a 15m averaging window) 8.10 Column “Buffered (15m)”, roughness ratio, based on values determined from a 15m 117 118 119 120 buffering window centered on each sample point 9. ts03.xlsx: DFA reference dataset and results 9.1 Column “Sample Source”, source of reference tephra composition (“Puck XX-X” 121 correspond to control samples from Bilderback [2012] that were re-run as part of 122 this study) 123 9.2 Column “Tephra”, identified tephra published by the sample source 124 9.3 Column “Source”, Taupo/Okataina, TVZ volcanic center that produced the tephra 125 9.4 Column “ DFA Predicted Source”, Taupo/Okataina, predicted TVZ volcanic center 126 127 based on DFA 9.5 Column “Tephra Code”, simplified tephra name (Kh=Kaharoa, Kw=Kawakawa, 128 Ma=Mamaku, Mg=Mangaone, Ok=Okareka, Om=Omataroa, Op=Opepe, 129 P/K=Poronui/Karapiti, Re=Rerewhakaaitu, Rh=Rotoehu, Ro=Rotoma, Ru=Rotorua, 130 Ta=Tarawera, Te=TeRere, Tp=Taupo, Wa=Waiohau, Wk=Whakatane, 131 Wm=Waimihia) 132 133 134 135 136 137 138 139 9.6 Column “DFA Predicted Tephra”, tephra code, predicted tephra by TVZ source based on DFA 9.7 Column “Incorrect Source?”, indicates “yes” when DFA predicted source is different from published source 9.8 Column “Incorrect Tephra?”, indicates “yes” when DFA predicted tephra is different from published tephra 10. ts04.xlsx: Reconstruction trials separated by timestep (bold-type trial is paleosurface used for final calculations) 140 10.1 Column “Trial”, reconstruction trial number 141 10.2 Column “Channel”, main/valley, indicates type of channel included (main=modern 142 channel, valley=generalized channel/valley axis) 143 10.3 Column “Interpolation”, linear/cubic, indicates interpolation method used 144 10.4 Column “Break Points”, indicates control points used to define the ground surface 145 10.5 Column “Boundary”, modern/spline, indicates catchment boundary elevations used 146 (modern=DEM elevations, spline=spline-fit elevations) 147 10.6 Column “SSE”, MATLAB’s reported interpolation fit error 148 10.7 Column “Vol (km3)”, km3, calculated volume difference between the corresponding 149 150 151 trial surface and the 2010 lidar DEM 10.8 Column “Erosion (mm/yr)”, mm/yr, erosion rate determined from the corresponding volume, timestep age, and total sub-catchment area 152 153 2. 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