A potentially super El Ni\~no is forecasted in 2026, raising the need to anticipate land carbon-cycle risks before its impacts unfold. We develop a prospective early-warning framework that uses dynamic global vegetation models driven by an ensemble of ECMWF seasonal climate forecasts and machine-learning burned area pr...
Xiao-Meng Du, Run Jiang, P. Ciais et al.· 0 citations
Accurate mapping of woody biomass and its temporal change is critical for understanding the global carbon balance, informing restoration and supporting evidence‐based policy on climate mitigation and livelihoods. The vegetation of the dry tropics, comprised largely of dry forests and savannas, holds substantial woody c...
S. B. Harrison, J. L. Godlee, D. Milodowski et al.· Global Change Biology· 0 citations
Understanding how trees allocate assimilated carbon to growth is essential for projecting forest carbon sequestration. However, the temporal dynamics of the relative roles of carbon assimilation (source) versus cambial activity (sink) in regulating tree growth remain poorly understood. Using multiple gross and net prim...
Hang Shi, Rui He, P. Friedlingstein et al.· Global Change Biology· 0 citations
Abstract. Drought is a dominant factor influencing terrestrial ecosystem water-use efficiency (WUE). However, the coupling relationship between WUE and drought remains insufficiently understood. Currently, the coupling relationship is primarily assessed using correlation coefficients or linear regression slopes. Howeve...
Zi-Jun Wang, Rong Wu, Yangyang Liu et al.· Hydrology and Earth System S...· 1 citation
Amazonia is highly sensitive to climate extremes, yet we lack an Amazon-wide assessment that examines the spatial-temporal changes in these extreme conditions. We address this within seasons and across the hydrological year, using a quantiles approach that integrates the frequency and magnitude of climate extremes and...
J. Barlow, Nathália S. Carvalho, C. A. Nunes et al.· Communications Earth & Envir...· 0 citations
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