Earlier spring causing reduced nitrogen availability in ... · We performed 100 Monte Carlo...

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SUPPLEMENTARY INFORMATION DOI: 10.1038/NPLANTS.2016.133 NATURE PLANTS | www.nature.com/natureplants 1 Sensitivity analysis of effect size on core chronology To evaluate the sensitivity of our results to the potential for missing or false tree rings, or any other sources of error in core chronology (e.g., the possibility for N translocation between tree rings), a sensitivity analysis was performed in which 1%, 5%, and 10% of the cores were sampled at random for artificial tampering. For each sampled core a ring was either added or taken away from the bark end of the core. This procedure changed the alignment between measurements of ring width, δ 13 C and δ 15 N in ring wood, and year and phenology for the cores sampled for tampering. Any of our results that are sensitive to the exact alignment of these measurements will be influenced by this sensitivity analysis. We performed 100 Monte Carlo simulations at each of the three random sampling levels, repeatedly modeled the effects of year, spring anomaly, region, and species on δ 15 N (i.e., the model presented in Table S4), and constructed histograms of the resulting effects of year and spring anomaly on δ 15 N (Figure S10). This sensitivity analysis revealed that the effects of year and spring anomaly are robust to a range of core tampering. As the fraction of cores sampled for tampering increases some random permutations result in either an increase or a decrease in the effect size (both effects). However, the trend of δ 15 N with time is always negative and the effect of an earlier spring is always positive. Earlier spring causing reduced nitrogen availability in North American eastern deciduous forests © 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.

Transcript of Earlier spring causing reduced nitrogen availability in ... · We performed 100 Monte Carlo...

  • SUPPLEMENTARY INFORMATIONDOI: 10.1038/NPLANTS.2016.133

    NATURE PLANTS | www.nature.com/natureplants 1

    Supplemental Material Sensitivity analysis of effect size on core chronology To evaluate the sensitivity of our results to the potential for missing or false tree rings, or any other sources of error in core chronology (e.g., the possibility for N translocation between tree rings), a sensitivity analysis was performed in which 1%, 5%, and 10% of the cores were sampled at random for artificial tampering. For each sampled core a ring was either added or taken away from the bark end of the core. This procedure changed the alignment between measurements of ring width, δ13C and δ15N in ring wood, and year and phenology for the cores sampled for tampering. Any of our results that are sensitive to the exact alignment of these measurements will be influenced by this sensitivity analysis. We performed 100 Monte Carlo simulations at each of the three random sampling levels, repeatedly modeled the effects of year, spring anomaly, region, and species on δ15N (i.e., the model presented in Table S4), and constructed histograms of the resulting effects of year and spring anomaly on δ15N (Figure S10). This sensitivity analysis revealed that the effects of year and spring anomaly are robust to a range of core tampering. As the fraction of cores sampled for tampering increases some random permutations result in either an increase or a decrease in the effect size (both effects). However, the trend of δ15N with time is always negative and the effect of an earlier spring is always positive.

    Earlier spring causing reduced nitrogen availability in North American eastern deciduous forests

    © 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.

    http://dx.doi.org/10.1038/nplants.2016.133

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    SUPPLEMENTARY INFORMATION DOI: 10.1038/NPLANTS.2016.133

    Crosswalk between path diagram (Figure 2) and model tables

    !me

    DOYaut Δ13C

    DOYspr δ15N

    BAI

    Modifieda;erdoublingd13Cdataandswitchingtodiscrimina!on

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    1d,4,5

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    1e,7,8,9,10

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    Model Model Equation Reference

    1a Spring anomaly ~ year + region + species Table S1

    1b Autumn anomaly ~ year + region + species Table S2

    1c δ15N ~ year + region + species Table S3

    1d Δ13C ~ year + region + species Table S6

    1e BAI ~ year + region + species Table S10

    2 δ15N ~ Spring anomaly + year + region + species Table S4

    Figure 3B

    3 δ15N ~ Autumn anomaly + year + region + species Table S5

    4 Δ13C ~ Spring anomaly + year + region + species

    Δ13C ~ Spring anomaly + δ15N + year + region + species

    Table S18

    Table S19

    5 Δ13C ~ Autumn anomaly + year + region + species Table S7

    6 δ15Nslope ~ d13Cslope + region + species

    δ15Nslope ~ iWUEslope + region + species

    δ15N ~ Δ13C + year + region + species

    Table S8

    Table S9

    Table S16

    Figure 3A

    7 BAI ~ δ15N + year + region + species

    BAIslope ~ δ15Nslope + region + species

    Table S13

    Table S14

    8 Δ13C ~ BAI + year + region + species

    iWUEslope ~ BAIslope + region + species

    Table S17

    Table S15

    9 BAI ~ Spring anomaly + year + region + species Table S11

    10 BAI ~ Autumn anomaly + year + region + species Table S12

    Figures S1-S10

    Sources: Esri, USGS, NOAA

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    FigureS1:LocationmapofsitesacrossthefourstudyregionsspanningAppalachianOakmesophyticforestoftheeasternUnitedStates.

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    SUPPLEMENTARY INFORMATIONDOI: 10.1038/NPLANTS.2016.133

    Figures S1-S10

    Sources: Esri, USGS, NOAA

    CATO

    HAFE

    PRWI

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    VA

    NC

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    TN

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    KY

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    Harpers Ferry National Historical Park (HAFE) Prince William Forest Park (PRWI)

    Catoctin Mountain Park (CATO)

    Great Smoky Mountains National Park (GRSM)

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    FigureS1:LocationmapofsitesacrossthefourstudyregionsspanningAppalachianOakmesophyticforestoftheeasternUnitedStates.

    © 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.

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    SUPPLEMENTARY INFORMATION DOI: 10.1038/NPLANTS.2016.133

    50 150 250 3500.0

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    Figure S3: Spring onset DOY vs. autumn offset DOY across sites (n = 113). Mean spring onset (DOY = 129) and autumn offset (DOY = 298) are represented by dotted lines.

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    Figure S4: Spring onset anomalies are trending earlier (more negative values) over time. This effect varies between regions, but so does the number of samples. Grey symbols are all data and black symbols are annual averages. Symbols designating regions refer to National Park names: Catoctin Mountain Park (CATO), Harpers Ferry Historical Park (HAFE), Prince William Forest Park (PRWI), and Great Smoky Mountains Park (GRSM).

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    http://dx.doi.org/10.1038/nplants.2016.133

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    SUPPLEMENTARY INFORMATIONDOI: 10.1038/NPLANTS.2016.133

    50 150 250 3500.0

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    g on

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    r = −0.63; P < 0.0001

    Figure S3: Spring onset DOY vs. autumn offset DOY across sites (n = 113). Mean spring onset (DOY = 129) and autumn offset (DOY = 298) are represented by dotted lines.

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    Figure S4: Spring onset anomalies are trending earlier (more negative values) over time. This effect varies between regions, but so does the number of samples. Grey symbols are all data and black symbols are annual averages. Symbols designating regions refer to National Park names: Catoctin Mountain Park (CATO), Harpers Ferry Historical Park (HAFE), Prince William Forest Park (PRWI), and Great Smoky Mountains Park (GRSM).

    © 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.

    http://dx.doi.org/10.1038/nplants.2016.133

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    SUPPLEMENTARY INFORMATION DOI: 10.1038/NPLANTS.2016.133

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