A review of methods to evaluate crop model performance at multiple and changing spatial scales
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 …
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
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 …
relevant scales is critical to mitigating climate change and ensuring sustainable food …
Sustainable intensification of crop residue exploitation for bioenergy: Opportunities and challenges
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 …
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
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) …
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
Croplands and grasslands are agricultural systems that contribute to land–atmosphere
exchanges of carbon (C). We evaluated and compared gross primary production (GPP) …
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 …
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 …
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 …
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 …
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
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 …
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 …
as a possible mechanism explaining the elusive terrestrial C sink of ca. 1.7–2.6 PgC yr− 1 …