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Lixin Wang

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Open access Aug 2026

Grain Expansion in China's Drylands Secures Food but Intensifies Environmental Trade‐Offs

Drylands are increasingly crucial for global food supply, and grain cultivation there continues to expand. Newly cultivated croplands in these regions are often assumed to be biophysically marginal and low yielding. However, the food‐security benefits, environmental costs, and associated trade‐offs of this expansion remain insufficiently quantified. Here, we assessed maize, wheat, and rice expansion across China's drylands (2000–2019) by harmonizing 1‐km crop maps, estimating grid‐scale expected yields (under typical local production conditions) with machine‐learning models, and coupling these estimates with a process‐based crop water‐demand model and gridded fertilizer and pesticide data sets. Results show that drylands accounted for a significantly increasing national share of all three crops, driven primarily by maize and rice expansion. Crop expansion areas exhibited competitive expected yields, with ∼60% exceeding stable‐area benchmarks. However, this competitive performance was accompanied by higher input burdens. Relative to stable croplands, median fertilizer inputs increased by 11.1%–18.1%, pesticide inputs by 3.2%–15.5%, and blue‐water demand by 3.2%–11.7%, while their use efficiencies declined for most crops. Overall, 89.4% of crop expansion areas exhibited at least one high‐input indicator, with 58.1% facing double or triple burdens. These findings highlight spatially heterogeneous yield‐input trade‐offs, suggesting that yields in these expansion areas are maintained largely through elevated inputs. Such input‐dependent yields can trigger a self‐reinforcing “high‐yield trap,” where competitive yields incentivize further expansion and intensification in water‐limited regions. Future dryland agriculture must therefore move beyond aggregate production growth toward differentiated zoning centered on yield benefits, input efficiency, and resource sustainability.

Fengyu Fu, Shuai Wang, Xutong Wu et al. · 0 citations
Open access Jul 2026

Widespread Increase in Global Plant Water Stress Obscured by Greening

Understanding the vulnerability of plants to more severe and frequent drought events and developing adaptive management strategies requires robust methods for quantifying long‐term changes in plant water stress (PWS). Most data‐driven explorations of long‐term trends in PWS have focused on alterations in canopy structure (e.g., leaf area index) or canopy structure‐dependent variables (e.g., gross primary productivity and evapotranspiration). This is largely because long‐term trends in canopy structure are relatively easy to detect from satellite observations. However, a focus on structural responses limits our ability to detect physiological stress due to challenges in isolating it from the effects of structural greening. Consequently, this difficulty hampers a comprehensive examination of long‐term PWS in the context of global greening trends. To address this gap, we developed a new process‐based metric for PWS to isolate physiological responses from structural greening, which we then used to detect global PWS trends over the past four decades. Combining site‐level and satellite observations at the half‐degree resolution across the globe, we found that accounting for greening‐related changes substantially alters the sign of long‐term PWS trends inferred from traditional approaches. Specifically, our study reveals a significant increase in PWS that is only detectable when accounting for structural greening trends. When greening trends are not accounted for, global PWS appears to have decreased over time. Overall, our results highlight the need to integrate structural dynamics and greening into PWS detection. Such an integration of observations and land models will improve our understanding of plant‐water‐energy interactions.

Q. Chang, Lixin Wang, Mallory L. Barnes et al. · 0 citations