Articles | Volume 4, issue 2
https://doi.org/10.5194/gc-4-245-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gc-4-245-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Communicating uncertainties in spatial predictions of grain micronutrient concentration
Christopher Chagumaira
CORRESPONDING AUTHOR
Future Food Beacon of Excellence and School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK
Sustainable Agriculture Sciences Department, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, UK
Crop and Soil Sciences Department, Bunda College, Lilongwe University of Agriculture and Natural Resources, P.O. Box 219, Lilongwe, Malawi
Joseph G. Chimungu
Crop and Soil Sciences Department, Bunda College, Lilongwe University of Agriculture and Natural Resources, P.O. Box 219, Lilongwe, Malawi
Dawd Gashu
Center for Food Science and Nutrition, Addis Ababa University, Addis Ababa, Ethiopia
Patson C. Nalivata
Crop and Soil Sciences Department, Bunda College, Lilongwe University of Agriculture and Natural Resources, P.O. Box 219, Lilongwe, Malawi
Martin R. Broadley
Future Food Beacon of Excellence and School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK
Alice E. Milne
Sustainable Agriculture Sciences Department, Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, UK
R. Murray Lark
Future Food Beacon of Excellence and School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK
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Total article views: 1,829 (including HTML, PDF, and XML)
Thereof 1,710 with geography defined
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Total article views: 418 (including HTML, PDF, and XML)
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Cited
10 citations as recorded by crossref.
- Evidence of collaborative opportunities to ensure long-term sustainability in African farming I. El Fartassi et al. 10.1016/j.jclepro.2023.136170
- Adding soil sampling to household surveys: Information for sample design from pilot data R. Lark et al. 10.1016/j.geoderma.2024.117148
- Maternal selenium deficiency was positively associated with the risk of selenium deficiency in children aged 6–59 months in rural Zimbabwe B. Mutonhodza et al. 10.1371/journal.pgph.0003376
- Stakeholder interpretation of probabilistic representations of uncertainty in spatial information: an example on the nutritional quality of staple crops C. Chagumaira et al. 10.1080/13658816.2021.2020278
- Decisions, uncertainty and spatial information R. Lark et al. 10.1016/j.spasta.2022.100619
- A pilot survey of selenium status and its geospatial variation among children and women in three rural districts of Zimbabwe B. Mutonhodza et al. 10.3389/fnut.2023.1235113
- Mapping the Petrogypsic Horizon Occurrence Probability in the Sahara Desert Using Predictive Models T. Assami et al. 10.1134/S1064229323601920
- Modelling and mapping maize yields and making fertilizer recommendations with uncertain soil information B. Takoutsing et al. 10.1007/s11119-024-10200-6
- Machine learning for predictive mapping of exceedance probabilities for potentially toxic elements in Czech farmland J. Skála et al. 10.1016/j.jenvman.2025.125035
- Folate Deficiency Is Spatially Dependent and Associated with Local Farming Systems among Women in Ethiopia B. Sisay et al. 10.1093/cdn/nzac088
10 citations as recorded by crossref.
- Evidence of collaborative opportunities to ensure long-term sustainability in African farming I. El Fartassi et al. 10.1016/j.jclepro.2023.136170
- Adding soil sampling to household surveys: Information for sample design from pilot data R. Lark et al. 10.1016/j.geoderma.2024.117148
- Maternal selenium deficiency was positively associated with the risk of selenium deficiency in children aged 6–59 months in rural Zimbabwe B. Mutonhodza et al. 10.1371/journal.pgph.0003376
- Stakeholder interpretation of probabilistic representations of uncertainty in spatial information: an example on the nutritional quality of staple crops C. Chagumaira et al. 10.1080/13658816.2021.2020278
- Decisions, uncertainty and spatial information R. Lark et al. 10.1016/j.spasta.2022.100619
- A pilot survey of selenium status and its geospatial variation among children and women in three rural districts of Zimbabwe B. Mutonhodza et al. 10.3389/fnut.2023.1235113
- Mapping the Petrogypsic Horizon Occurrence Probability in the Sahara Desert Using Predictive Models T. Assami et al. 10.1134/S1064229323601920
- Modelling and mapping maize yields and making fertilizer recommendations with uncertain soil information B. Takoutsing et al. 10.1007/s11119-024-10200-6
- Machine learning for predictive mapping of exceedance probabilities for potentially toxic elements in Czech farmland J. Skála et al. 10.1016/j.jenvman.2025.125035
- Folate Deficiency Is Spatially Dependent and Associated with Local Farming Systems among Women in Ethiopia B. Sisay et al. 10.1093/cdn/nzac088
Latest update: 23 Apr 2025
Short summary
Our study is concerned with how the uncertainty in spatial information about environmental variables can be communicated to stakeholders who must use this information to make decisions. We tested five methods for communicating the uncertainty in spatial predictions by eliciting the opinions of end-users about the usefulness of the methods. End-users preferred methods based on the probability that concentrations are below or above a nutritionally significant threshold.
Our study is concerned with how the uncertainty in spatial information about environmental...
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