24 April, 2022 (Zhang, gcb, domimant_timescales_and_regions_of_global_NEE) Zhang, X., Wang, Y.-P., Peng, S., Rayner, P. J., Ciais, P., Silver, J. D., Piao, S., Zhu, Z., Lu, X., & Zheng, X. (2018). Dominant regions and drivers of the variability of the global land carbon sink across timescales. Global Change Biology, 24(9), 3954β3968. https://doi.org/10.1111/gcb.14275
Zhang et al. used the Fourier transformation to attribute variance of carbon cycle components to multiple time scales (from interannual to multi-decadal scales).
23 April, 2022 (Green, gcb, lst_over_tair) Green, J. K., Ballantyne, A., Abramoff, R., Gentine, P., Makowski, D., & Ciais, P. (2022). Surface temperatures reveal the patterns of vegetation water stress and their environmental drivers across the tropical Americas. Global Change Biology, 28(9), 2940β2955. https://doi.org/10.1111/gcb.16139
Green et al. introduced the ratio of land surface temperature (LST; temperature of the top canopy) to air temperature as an indicator of vegetation water stress. I was particularly interested in their analysis using random forest and the Shapley value to quantify the effect (e.
