Basic Soil Data Requirements for Process-Based Crop Models as a Basis for Crop Diversification
| Autor: | Tengku Adhwa Syaherah Tengku Mohd Suhairi, Ebrahim Jahanshiri, A.S. Karunaratne, Eranga M. Wimalasiri, Lal P. Vidhanarachchi, Sayed Azam-Ali, Hasika Udayangani, R. B. Mapa |
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| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
soil data quality Soil texture Geography Planning and Development TJ807-830 Soil science soilgrids Management Monitoring Policy and Law TD194-195 01 natural sciences Renewable energy sources Yield mapping Crop Yield (wine) APSIM SRICANSOL GE1-350 0105 earth and related environmental sciences Soil map Environmental effects of industries and plants Renewable Energy Sustainability and the Environment Crop yield Shapley’s effects 04 agricultural and veterinary sciences Bulk density Openlandmap Environmental sciences 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Soil horizon Environmental science |
| Zdroj: | Sustainability, Vol 12, Iss 7781, p 7781 (2020) Sustainability Volume 12 Issue 18 |
| ISSN: | 2071-1050 |
| Popis: | Data from global soil databases are increasingly used for crop modelling, but the impact of such data on simulated crop yield has not been not extensively studied. Accurate yield estimation is particularly useful for yield mapping and crop diversification planning. In this article, available soil profile data across Sri Lanka were harmonised and compared with the data from two global soil databases (Soilgrids and Openlandmap). Their impact on simulated crop (rice) yield was studied using a pre-calibrated Agricultural Production Systems Simulator (APSIM) as an exemplar model. To identify the most sensitive soil parameters, a global sensitivity analysis was performed for all parameters across three datasets. Different soil parameters in both global datasets showed significantly (p < 0.05) lower and higher values than observed values. However, simulated rice yields using global data were significantly (p < 0.05) higher than from observed soil. Due to the relatively lower sensitivity to the yield, all parameters except soil texture and bulk density can still be supplied from global databases when observed data are not available. To facilitate the wider application of digital soil data for yield simulations, particularly for neglected and underutilised crops, nation-wide soil maps for 9 parameters up to 100 cm depth were generated and made available online. |
| Databáze: | OpenAIRE |
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