Datum
2020-03-24Schlagwort
580 Pflanzen (Botanik) 630 Landwirtschaft, Veterinärmedizin GemüsebauUrbaner GartenbauDenitrifikationGhanaMetadata
Zur Langanzeige
Aufsatz
Soil–climate contribution to DNDC model uncertainty in simulating biomass accumulation under urban vegetable production on a Petroplinthic Cambisol in Tamale, Ghana
Zusammenfassung
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.
Zitierform
In: Journal of Plant Nutrition and Soil Science (JPNSS) Volume 183 / Issue 3 (2020-03-24) , S. 306-315 ; EISSN 1522-2624Förderhinweis
Gefördert im Rahmen des Projekts DEALZitieren
@article{doi:10.17170/kobra-202006181354,
author={Budiman, Budiman and Steiner, Christoph and Topp, Cairistiona F. E. and Buerkert, Andreas},
title={Soil–climate contribution to DNDC model uncertainty in simulating biomass accumulation under urban vegetable production on a Petroplinthic Cambisol in Tamale, Ghana},
journal={Journal of Plant Nutrition and Soil Science (JPNSS)},
year={2020}
}
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2020-06-18T11:17:49Z 2020-06-18T11:17:49Z 2020-03-24 doi:10.17170/kobra-202006181354 http://hdl.handle.net/123456789/11600 Gefördert im Rahmen des Projekts DEAL eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ carbon–nitrogen modelling factor importance horticulture urban agriculture West Africa 580 630 Soil–climate contribution to DNDC model uncertainty in simulating biomass accumulation under urban vegetable production on a Petroplinthic Cambisol in Tamale, Ghana Aufsatz 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. open access Budiman, Budiman Steiner, Christoph Topp, Cairistiona F. E. Buerkert, Andreas doi:10.1002/jpln.201900514 Gemüsebau Urbaner Gartenbau Denitrifikation Ghana publishedVersion EISSN 1522-2624 Issue 3 Journal of Plant Nutrition and Soil Science (JPNSS) 306-315 Volume 183 false
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