Improvement of spatial modelling of crop suitability using a new digital soil map of Tanzania
Climate change is projected to have widespread impacts on the climate suitability and geographical distribution of agricultural crops. Simulations were conducted on the suitability of common beans (Phaseolus vulgaris L.) in Tanzania under progressive climate change, taking into account a soil fertil...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Informa UK Limited
2017
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/80451 |
| _version_ | 1855514114938372096 |
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| author | Piikki, Kristin Winowiecki, Leigh Ann Vågen, Tor-Gunnar Ramírez Villegas, Julián Armando Söderström, Mats |
| author_browse | Piikki, Kristin Ramírez Villegas, Julián Armando Söderström, Mats Vågen, Tor-Gunnar Winowiecki, Leigh Ann |
| author_facet | Piikki, Kristin Winowiecki, Leigh Ann Vågen, Tor-Gunnar Ramírez Villegas, Julián Armando Söderström, Mats |
| author_sort | Piikki, Kristin |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Climate change is projected to have widespread impacts on the climate suitability and geographical distribution of agricultural crops. Simulations were conducted on the suitability of common beans (Phaseolus vulgaris L.) in Tanzania under progressive climate change, taking into account a soil fertility constraint. The results were used to assess the effects of incorporating information on soil fertility, more specifically soil organic carbon (SOC) content, into the niche-based EcoCrop model, which was previously based only on climate data. Extending the model improved the correlation between predicted suitability and production statistics at the regional level. Simulated suitability was highly sensitive to SOC-related model parameters, implying that it is critical to incorporate these parameters in order to improve estimates of crop suitability. Simulations using the best parameterisation identified showed that low SOC is currently more limiting for common bean suitability than climate in 51% of the Tanzanian land area (protected areas excluded). However, future projections suggest that climate will be more limiting for the geographic distribution of common beans than SOC in the near future (2030). Spatial data on predicted SOC levels and other soil properties in future scenario modelling are needed for better identification of suitable areas for common bean production. |
| format | Journal Article |
| id | CGSpace80451 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Informa UK Limited |
| publisherStr | Informa UK Limited |
| record_format | dspace |
| spelling | CGSpace804512025-03-13T09:43:57Z Improvement of spatial modelling of crop suitability using a new digital soil map of Tanzania Piikki, Kristin Winowiecki, Leigh Ann Vågen, Tor-Gunnar Ramírez Villegas, Julián Armando Söderström, Mats climate change common beans phaseolus vulgaris carbon soil fertility simulation models modelos de simulación fertilidad del suelo frijol ecology Climate change is projected to have widespread impacts on the climate suitability and geographical distribution of agricultural crops. Simulations were conducted on the suitability of common beans (Phaseolus vulgaris L.) in Tanzania under progressive climate change, taking into account a soil fertility constraint. The results were used to assess the effects of incorporating information on soil fertility, more specifically soil organic carbon (SOC) content, into the niche-based EcoCrop model, which was previously based only on climate data. Extending the model improved the correlation between predicted suitability and production statistics at the regional level. Simulated suitability was highly sensitive to SOC-related model parameters, implying that it is critical to incorporate these parameters in order to improve estimates of crop suitability. Simulations using the best parameterisation identified showed that low SOC is currently more limiting for common bean suitability than climate in 51% of the Tanzanian land area (protected areas excluded). However, future projections suggest that climate will be more limiting for the geographic distribution of common beans than SOC in the near future (2030). Spatial data on predicted SOC levels and other soil properties in future scenario modelling are needed for better identification of suitable areas for common bean production. 2017-08-08 2017-03-21T21:27:43Z 2017-03-21T21:27:43Z Journal Article https://hdl.handle.net/10568/80451 en Open Access Informa UK Limited Piikki, Kristin; Winowiecki, Leigh; Vågen, Tor-Gunnar; Ramirez-Villegas, Julian; Söderström, Mats. 2017. Improvement of spatial modelling of crop suitability using a new digital soil map of Tanzania. South African Journal of Plant and Soil. 34(4): 243-254. |
| spellingShingle | climate change common beans phaseolus vulgaris carbon soil fertility simulation models modelos de simulación fertilidad del suelo frijol ecology Piikki, Kristin Winowiecki, Leigh Ann Vågen, Tor-Gunnar Ramírez Villegas, Julián Armando Söderström, Mats Improvement of spatial modelling of crop suitability using a new digital soil map of Tanzania |
| title | Improvement of spatial modelling of crop suitability using a new digital soil map of Tanzania |
| title_full | Improvement of spatial modelling of crop suitability using a new digital soil map of Tanzania |
| title_fullStr | Improvement of spatial modelling of crop suitability using a new digital soil map of Tanzania |
| title_full_unstemmed | Improvement of spatial modelling of crop suitability using a new digital soil map of Tanzania |
| title_short | Improvement of spatial modelling of crop suitability using a new digital soil map of Tanzania |
| title_sort | improvement of spatial modelling of crop suitability using a new digital soil map of tanzania |
| topic | climate change common beans phaseolus vulgaris carbon soil fertility simulation models modelos de simulación fertilidad del suelo frijol ecology |
| url | https://hdl.handle.net/10568/80451 |
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