Elena Pareja-Serrano

ORCID: 0000-0002-0218-454X
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About
Contact & Profiles
Research Areas
  • Remote Sensing and Land Use
  • Environmental and Agricultural Sciences
  • Environmental Changes in China
  • Soil and Unsaturated Flow
  • Crop Yield and Soil Fertility
  • Soil Geostatistics and Mapping
  • Soil erosion and sediment transport
  • Sustainable Agricultural Systems Analysis
  • Soil and Land Suitability Analysis

University of Castilla-La Mancha
2023

EMMAH - Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes
2021

Assessing agricultural production in the context of climate change is a global concern. In recent decades, variable rate technology (VRT) for machinery has made it possible to adjust fertiliser rates on-the-go, allowing within-field crop management. this context, order select most effective management practices, essential identify driving factors that determine yield variability, mapping spatial distribution these and local variability potential.Mapping homogeneous areas potential used...

10.5194/egusphere-egu25-14999 preprint EN 2025-03-15

The growing threats to soil health, particularly in regions increasingly impacted by climate change, demands innovative, science-based solutions. Organic amendments offer a pathway for improving health while enhancing SOM content. Addressing these challenges requires comprehensive approach that bridges nutrient management practices with deeper understanding of organic matter (SOM) dynamics. Therefore, farmers, as key actors this process, need operational tools not only highlight potential...

10.5194/egusphere-egu25-12300 preprint EN 2025-03-15

Crop production assessment is a worldwide issue for agriculture in the context of climate change which expected to cause shift areas. To address this issue, process-based models like STICS are being developed simulate plant-environment interactions. However, adapting varieties crop requires substantial amount data, poses as constraint on their operational application. The objective work propose methodology calibrating plant parameters scenarios with limited data access. This scenario,...

10.2139/ssrn.4581065 preprint EN 2023-01-01
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