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Spatiotemporal Evolution of Agricultural Land Systems in the North China Plain Over Two Decades (2002–2022)
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DOI：10.1002/ldr.70316.png)
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Abstract
En 中文
Understanding agricultural land systems transformation is vital for food security, ecology, and rural development. This study analyzes spatiotemporal dynamics in the North China Plain (2002–2022), integrating environmental constraints, economic incentives, and policy interventions. By fusing MODIS (250 m) and Landsat (30 m) data via random forest, we generated high-accuracy crop distribution maps for 4 years (2002, 2012, 2017, 2022), enhancing resolution and overcoming cloud limitations. The key transformations occurred across the main systems: winter wheat–summer maize (WW-SM) proportion increased (34.4%–37.8%) but absolute area declined by 18.7% (46,233–37,603 km2), shifting from water-stressed Central Hebei to favorable regions in Northern Henan and Northwestern Shandong. Single maize expanded 10.8% (12,644–14,011 km2), concentrated in groundwater-depleted zones like Cangzhou, aligning with drought adaptation. Cotton cultivation plummeted (14.1%–3.3%) due to labor intensity and low profitability. Fruit/forest surged 164%, driven by policies and markets, whereas vegetables fragmented near urban areas. Transition analysis revealed 18% of WW-SM areas converted to fruit/forest and vegetables during 2012–2017, coinciding with China's 2014 Groundwater Overdraft Control Regulation. Although adaptive strategies have mitigated water stress, persistent spatial mismatches in water allocation remain. Our integrated framework demonstrates robust capacity for agricultural landscape monitoring, providing actionable insights for the water-energy-food nexus.
Keywords:
agricultural land systems
crop distribution
North China Plain
random forest
remote sensing imagery
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