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Correction to “Emergent Constraints on Historical and Future Global Gross Primary Productivity”
Global Change Biology ( IF 10.8 ) Pub Date : 2024-11-25 , DOI: 10.1111/gcb.17586


Chen, X., Chen, T., Liu, Y. Y., He, B., Liu, S., Guo, R., & Dolman, H. Emergent constraints on historical and future global gross primary productivity. Global Change Biology, 2024, 30(8): e17479. https://doi.org/10.1111/gcb.17479

In the version of this article originally published, two figures have unit errors. The X-axis of Figure 4 panel (d) shows two “(PgC year−1),” one of which should be removed. The X-axis of Figure 6 panels (a), (c), (e), and (f) should be in units of “PgC year−1,” not “gC m−2 year−1.” The corrected figures are:

Details are in the caption following the image
FIGURE 4
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Constrained gross primary productivity (GPP) estimate of different latitudinal zones based on emergent constraint method. (a, c, e) The best fitting regression line and 95% prediction intervals (black dotted line) between the site-scale average GPP simulations (x-axis) and the GPP estimates of different latitudinal zones (90° N–30° N, 30° N–30° S, 30° S–90° S) (y-axis) in RS-GPP datasets, respectively; N represents the number of sites used to calculate the site-scale average GPP; the vertical solid line and shadows represent the GPP observation and its uncertainty range at the site scale; (b), (d), (f) represent the PDF of the GPP estimate of different latitudinal zones (90° N–30° N, 30° N–30° S, 30° S–90° S) based on RS-GPP datasets (gray dotted line), and the PDF of the global GPP estimate constrained by observations applied to the relationship between models shown in (a), (c), (e), respectively (solid purple line).
Details are in the caption following the image
FIGURE 6
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Constrained global gross primary productivity (GPP) estimate of different scenarios based on the emergent constraint method in 2081–2100. (a, c, e, g) The best fitting regression line and 95% prediction intervals (black dotted line) between the global GPP estimates in 2001–2014 (x-axis) and the global GPP estimates in 2081–2100 of different scenarios (SSP126, SSP245, SSP370, and SSP585) (y-axis) in CMIP6-GPP datasets, respectively; Vertical dashed lines and gray shadows represent unconstrained global GPP estimate and its uncertainty range in 2001–2014 in RS-GPP datasets; vertical solid lines and purple shadows represent constrained global GPP estimate and its uncertainty range in 2001–2014 in RS-GPP datasets (correspond to Figure 3b); (b, d, f, h) the PDF of the global GPP estimate under different scenarios (SSP126, SSP245, SSP370, and SSP585) based on RS-GPP datasets, and the PDF of the global GPP estimate constrained by observations applied to the relationship between models shown in (a), (c), (e), (g), respectively. The black solid line is the global GPP estimate of 2081–2100 based on the unconstrained global GPP estimate in 2001–2014 in RS-GPP datasets (Constrained1), and the purple solid line is the global GPP estimate of 2081–2100 based on the constrained global GPP estimate in 2001–2014 in RS-GPP datasets (Constrained2).

These corrections do not affect the overall results and conclusions.

We apologize for this error.



中文翻译:


更正“对历史和未来全球总初级生产率的紧急约束”



Chen, X., Chen, T., Liu, Y. Y., He, B., Liu, S., Guo, R., & Dolman, H. 对历史和未来全球总初级生产力的紧急制约。全球变化生物学, 2024, 30(8): e17479.https://doi.org/10.1111/gcb.17479


在最初发布的本文版本中,两个数字存在单位误差。图 4 面板 (d) 的 X 轴显示两个“(PgC 年-1)”,其中一个应该被删除。图 6 面板 (a)、(c)、(e) 和 (f) 的 X 轴应以“PgC year-1”为单位,而不是“gC m-2 year-1”的单位。更正后的数字是:

Details are in the caption following the image
 图 4

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基于紧急约束法的不同纬度区的约束总初级生产力 (GPP) 估计。(一、三、五)RS-GPP 数据集中不同纬度带(90° N–30° N、30° N–30° S、30° S–90° S、30° S–90° S)(y 轴)的站点规模平均 GPP 模拟(x 轴)之间的最佳拟合回归线和 95% 预测区间(黑色虚线);N 表示用于计算站点规模平均 GPP 的站点数;垂直实线和阴影表示 GPP 观测及其在站点尺度上的不确定性范围;(b)、(d)、(f) 表示基于 RS-GPP 数据集(灰色虚线)的不同纬度带(90° N–30° N、30° N–30° S、30° S–90° S)的 GPP 估计 PDF,以及受分别应用于 (a)、(c)、(e) 中所示模式之间关系的观测值约束的全球 GPP 估计的 PDF(紫色实线)。
Details are in the caption following the image
 图 6

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2081-2100 年基于紧急约束法的不同情景的约束全球总初级生产力 (GPP) 估计。(a、c、e、g)在 CMIP6-GPP 数据集中,2001-2014 年全球 GPP 估计值(x 轴)与 2081-2100 年不同情景(SSP126、SSP245、SSP370 和 SSP585)的全球 GPP 估计值(y 轴)之间的最佳拟合回归线和 95% 预测区间(黑色虚线)分别;垂直虚线和灰色阴影表示 RS-GPP 数据集中 2001-2014 年无约束的全球 GPP 估计及其不确定性范围;垂直实线和紫色阴影表示 RS-GPP 数据集中 2001-2014 年受限的全球 GPP 估计及其不确定性范围(对应于图 3b);(b, d, f, h) 基于 RS-GPP 数据集的不同情景(SSP126、SSP245、SSP370 和 SSP585)下全球 GPP 估计的 PDF,以及受分别应用于 (a)、(c)、(e)、(g) 中所示模型之间关系的观测值约束的全球 GPP 估计的 PDF。黑色实线是根据 RS-GPP 数据集中 2001-2014 年无约束全球 GPP 估计的 2081-2100 年全球 GPP 估计值(约束 1),紫色实线是根据 RS-GPP 数据集中 2001-2014 年约束全球 GPP 估计值(约束 2)得出的全球 GPP 估计值。


这些更正不会影响总体结果和结论。


对于此错误,我们深表歉意。

更新日期:2024-11-25
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