Modelling Approach to Evaluate Carbon Retention and Climate Interaction in Dryland Farming

作者：Sonna Damian Nduka · 发表于：International Journal of Multidisciplinary Research and Growth Evaluation · 年份：2020 · DOI：10.54660/.ijmrge.2020.1.5.263-280 · 被引用次数：14 · 研究领域：Climate change impacts on agriculture、Plant Water Relations and Carbon Dynamics、Remote Sensing in Agriculture

This paper presents a modelling approach to evaluate carbon retention and climate interaction in dryland farming by integrating process-based biogeochemistry, remote-sensing constraints, and socio-economic decision layers. The framework couples a water-limited crop–soil model tracking soil organic carbon pools, root allocation, and microbial turnover with an energy-balance land–atmosphere scheme that simulates albedo, surface roughness, boundary-layer coupling, and evapotranspiration feedbacks. Parameter estimation uses Bayesian calibration and hierarchical pooling to fuse field trials, eddy-covariance fluxes, and satellite products (soil moisture, land surface temperature, albedo, vegetation indices), while enforcing water and energy balance closure. Management is represented via ensembles spanning tillage intensity, residue retention, cover crops, organic amendments, deficit irrigation, and precision fertilizer timing. Disturbance modules capture drought lengthening, heat extremes, wind erosion, and pest pressure; policy levers include carbon pricing, drought insurance, and stewardship incentives. Model outputs include net ecosystem carbon balance, SOC stock change by pool, methane and nitrous oxide fluxes, water productivity, and radiative forcing equivalents. To quantify climate interaction, biogeochemical and biophysical effects are decomposed with counterfactual simulations carbon-only, biophysical-only, and combined yielding partial contributions to near-surface temper...