Soil–climate contribution to DNDC model uncertainty in simulating biomass accumulation under urban vegetable production on a Petroplinthic Cambisol in Tamale, Ghana

Abstract

Crop yield simulation using the Denitrification-Decomposition (DNDC) model can help to understand key bottlenecks for improved nitrogen (N) use efficiency and estimate greenhouse gas (GHG) emissions in West African urban vegetable production. The DNDC model was successfully calibrated using high-resolution weather records, information on management practices and soils, and measured biomass accumulation and N uptake by amaranth (Amaranthus L.), jute mallow (Corchorus olitorius L.), lettuce (Lactuca sativa L.), and roselle (Hibiscus sabdariffa L.) for different input intensities (May 2014-November 2015) in urban vegetable production of Tamale (N-Ghana, West Africa). The root mean square error (RMSE) and relative error (E) values fell within the confidence interval (α 5%) of the measurements, and there was a high correlation (0.91 to 0.98) between measurements and predictions. However, the analysis of uncertainty and factor importance indicated that soil properties (pH, SOC, and clay content) and weather (precipitation) variability contributed highly to yield uncertainty of vegetable biomass.

Coupling biogeochemical simulation and mathematical optimisation towards eco-industrial energy systems design

“…In contrast to data-driven empirical models, DNDC is underpinned by first-principle modelling and simulates biogeochemical processes. DNDC is one of the most widely adopted biogeochemistry models first proposed by Li et al [26] and has been validated worldwide including projection of vegetable growth in different regions and environments, e.g., in China [28] and in Ghana [29]. DNDC has experienced over twodecade development a DNDC family tree is presented by the comprehensive review by Gilhespy et al [30] 2.…”

The improvement of the conceptual hydrological model METQ with the urban hydrological response unit and GHG emission modelling = Konceptuālā hidroloģiskā modeļa METQ pilnveide urbānās hidroloģiskās atbildes vienības izveidei un SEG emisiju modelēšanai

“…Li, Narayanan, & Harriss, 1996). Notiek intensīvs darbs pie modeļa pilnveidošanas un papildu moduļu integrēšanas esošajā modelī (Abdalla, Song, Ju, Topp, & Smith, 2020;Budiman, Steiner, Topp, & Buerkert, 2020;Khalil, Fornara, & Osborne, 2020;Lai, Liu, Zhou, Zhu, & Liao, 2020;Shah, Li, Wang, & Collins, 2020;Smith et al, 2020;L. Zhou, Zhao, He, Flerchinger, & Feng, 2020).…”