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Global Change Biology · 2026 · Vol. 32 · Issue 4 · Wiley
In 2024, the global annual growth rate of atmospheric CO 2 (CGR) surged to a record of 3.73 ppm year −1 —the highest since 1959—exceeding the 1.5°C climate threshold for the first time. However, the drivers behind this unprecedented rise remain poorly understood. Here, we employed a machine‐learning approach integrating satellite‐derived gross primary productivity (GPP) and climatic data to estimate the 2024 land sink (S LAND...
Global Change Biology · 2026 · Vol. 32 · Issue 4 · Wiley
Nitrogen deposition often promotes plant invasions and can arise from multiple sources. However, it remains unclear whether native legumes facilitate invasive plants directly through biotic nitrogen transfer or indirectly via soil microbial mediation. It is also unknown how exogenous nitrogen addition influences these facilitative effects. To address these questions, we combined evidence from a greenhouse experiment and global...
Ecology Letters · 2026 · Vol. 29 · Issue 3 · Wiley
Biodiversity can enhance forest resistance to drought, but the forms of diversity involved and conditions under which diversity confers resistance remain unclear. We used Forest Inventory and Analysis (FIA) plot data to examine whether four variables—structural richness (variation in tree heights, stand density, canopy cover and/or spatial heterogeneity), species richness (number of tree species), structural evenness and speci...
Ecology Letters · 2026 · Vol. 29 · Issue 2 · Wiley
The CO 2 ‐fertilisation effect (CFE) on vegetation productivity is the major driver of the enhanced land carbon sink in recent decades. CFE theoretically increases with elevation due to the higher sensitivity of carboxylation to an increase of CO 2 under lower CO 2 partial pressure, but the elevation‐dependent CFE pattern has been largely overlooked. By conducting a 6‐year CO 2 enrichment experiment (+100 ppm) in an alpine gra...
Global Change Biology · 2026 · Vol. 32 · Issue 1 · Wiley
Ecosystem carbon dynamics are governed by complex temporal dependencies and environmental interactions, yet these processes remain poorly understood and quantified across diverse biomes. Here, we developed an explainable LSTM‐Attention framework that integrates LSTM networks, attention mechanisms, and gradient‐based attribution methods to reveal temporal dependencies in ecosystem carbon flux responses by analyzing eddy covaria...