A review of methods to evaluate crop model performance at multiple and changing spatial scales

D Pasquel, S Roux, J Richetti, D Cammarano… - Precision …, 2022 - Springer
Crop models are useful tools because they can help understand many complex processes
by simulating them. They are mainly designed at a specific spatial scale, the field. But with …

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems

L Liu, W Zhou, K Guan, B Peng, S Xu, J Tang… - Nature …, 2024 - nature.com
Accurate and cost-effective quantification of the carbon cycle for agroecosystems at decision-
relevant scales is critical to mitigating climate change and ensuring sustainable food …

Sustainable intensification of crop residue exploitation for bioenergy: Opportunities and challenges

I Mouratiadou, T Stella, T Gaiser, B Wicke… - GCB …, 2020 - Wiley Online Library
Crop residue exploitation for bioenergy can play an important role in climate change
mitigation without jeopardizing food security, but it may be constrained by impacts on soil …

[HTML][HTML] Long term impact of residue management on soil organic carbon stocks and nitrous oxide emissions from European croplands

E Haas, M Carozzi, RS Massad… - Science of the Total …, 2022 - Elsevier
Application of crop residues to agricultural fields is a significant source of the greenhouse
gas nitrous oxide (N 2 O) and an essential factor affecting the soil organic carbon (SOC) …

Ensemble modelling of carbon fluxes in grasslands and croplands

R Sándor, F Ehrhardt, P Grace, S Recous, P Smith… - Field Crops …, 2020 - Elsevier
Croplands and grasslands are agricultural systems that contribute to land–atmosphere
exchanges of carbon (C). We evaluated and compared gross primary production (GPP) …

Multi-model ensemble improved the prediction of trends in soil organic carbon stocks in German croplands

C Riggers, C Poeplau, A Don, C Bamminger, H Höper… - Geoderma, 2019 - Elsevier
Various soil organic carbon (SOC) models and additional methods to calculate carbon (C)
input to soil are used to simulate SOC stocks, eg for national greenhouse gas inventories …

[HTML][HTML] Soil organic carbon sequestration potential for croplands in Finland over 2021–2040 under the interactive impacts of climate change and agricultural …

F Tao, T Palosuo, A Lehtonen, J Heikkinen… - Agricultural …, 2023 - Elsevier
CONTEXT Cropland soil organic carbon (SOC) stock can be increased by agricultural
management, but is subject to various factors. The extent and rates of SOC sequestration …

Spatiotemporal variations and driving factors of farmland soil organic carbon in various landforms of a complex topography

J Long, J Li, Q Huang, L Lu, H Li, S Xing… - Soil and Tillage …, 2024 - Elsevier
Estimating the spatiotemporal variations and driving factors of farmland soil organic carbon
density (SOCD) is of great significance for enhancing soil carbon sequestration capacity …

Effects of soil-and climate data aggregation on simulated potato yield and irrigation water requirement

JJ Ojeda, EE Rezaei, TA Remenyi, MA Webb… - Science of the Total …, 2020 - Elsevier
Input data aggregation affects crop model estimates at the regional level. Previous studies
have focused on the impact of aggregating climate data used to compute crop yields …

Simulating eroded soil organic carbon with the SWAT-C model

X Zhang - Environmental modelling & software, 2018 - Elsevier
The soil erosion and associated lateral movement of eroded carbon (C) have been identified
as a possible mechanism explaining the elusive terrestrial C sink of ca. 1.7–2.6 PgC yr− 1 …