Multi-criteria assessment of cropping systems for the sustainable intensification in the Pampas

Cano, Priscila B.; Cabrini, Silvina María; Peper, Alberto M.; Poggio, Santiago L.

doi:10.1016/j.agsy.2023.103723

Cited by 7 publications

(1 citation statement)

References 47 publications

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“…Sustained productivity of stable cropland is crucial for ensuring global food security 55 . Sustainable intensification in cropping systems is essential to meet the increasing food demand of the global population 56 . Achieving sustainability in land use systems is challenged by a series of issues such as abrupt changes and complex driving forces 57 .…”

Section: Usage Notesmentioning

confidence: 99%

National-scale 10-m maps of cropland use intensity in China during 2018–2023

Qiu,

Liu,

Tang

et al. 2024

Sci Data

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The amount of actively cultivated land in China is increasingly threatened by rapid urbanization and rural population aging. Quantifying the extent and changes of active cropland and cropping intensity is crucial to global food security. However, national-scale datasets for smallholder agriculture are limited in spatiotemporal continuity, resolution, and precision. In this paper, we present updated annual Cropland Use Intensity maps in China (China-CUI10m) with descriptions of the extent of fallow/abandoned, actively cropped fields and cropping intensity at a 10-m resolution in recent six years (2018–2023). The dataset is produced by robust algorithms with no requirements for regional adjustments or intensive training samples, which take full advantage of the Sentinel-1 (S1) SAR and Sentinel-2 (S2) MSI time series. The China-CUI10m maps have achieved high accuracy when compared to ground truth data (Overall accuracy = 90.88%) and statistical data (R2 > 0.94). This paper provides the recent trends in cropland abandonment and agricultural intensification in China, which contributes to facilitating geographic-targeted cropland use control policies towards sustainable intensification of smallholder agricultural systems in developing countries.

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Section: Usage Notesmentioning

confidence: 99%