These findings demonstrate that plant-specific P deficiency adaptation mechanisms distinctly influence the spatial distribution of C-cycling enzyme activity and bacterial community structure in the rhizosphere
See more information https://doi.org/10.1016/j.jia.2025.08.017

See full text at https://doi.org/10.1016/j.jia.2025.07.017

See more details https://doi.org/10.1016/j.jia.2025.09.029

See more https://doi.org/10.1016/j.jia.2026.01.007

See more information https://doi.org/10.1016/j.jia.2025.05.004

See more https://doi.org/10.1016/j.jia.2025.12.026

See more https://doi.org/10.1016/j.jia.2025.02.051

See more https://doi.org/10.1016/j.jia.2025.06.012

💡 We’re excited to share that our new satellite-based NDVI monitoring feature—built on Free Software, Open Data, and Citizen Science principles—is now in early testing at selected locations. Using Sentinel-2 (Copernicus) imagery processed through OpenEO, the system generates up to 36 months of historical NDVI data and true-color maps, enabling vegetation health monitoring, ecosystem restoration tracking, and evaluation of regenerative agriculture practices. 🌍✨

📍 Pilot locations:

https://agroecologymap.org/l/the-food-farm/ndvi_timeline

https://agroecologymap.org/l/forest-side-farm/ndvi_timeline

https://agroecologymap.org/l/laughing-frog-farm/ndvi_timeline

https://agroecologymap.org/l/la-graine-de-ferme/ndvi_timeline

🔧 Due to the high computational requirements and processing demand, access will be released gradually to additional locations.

Great way to highlight agroecology as a form of empowerment in the context of conflict.

Overall, this study not only reveals how remote sensing-derived variables contribute to our understanding of SOC distribution in fragmented agricultural landscapes but also clarifies their efficacy.