Improvement of spatial modelling of crop suitability using a new digital soil map of Tanzania

Piikki, Kristin; Winowiecki, Leigh A.; Vågen, Tor-Gunnar; Ramírez-Villegas, Julián

doi:10.1080/02571862.2017.1281447

Cited by 21 publications

(17 citation statements)

References 37 publications

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“…However, a suitability index that took account of the interaction between thermal requirements with weighted averages of all soil properties produced the lowest standard deviation (Table 3 and Figure 3). This confirms improvements reported by Piikki et al [19] for common bean (Phaseolus vulgaris L.) in Tanzania using soil organic matter. Also, Velazco et al [20] reported the same results using similar edaphic variables.…”

Section: Combined Suitability Assessmentsupporting

confidence: 90%

“…Empirical methods have been used for climate change impact studies with only climate information [15,18]. Recently, there have been some attempts to enhance the niche-based models with soil fertility (soil organic matter) and with other soil information [19,20]. Providing data and computational power for these models is becoming easier, and the application of fuzzy methods in this area is on the increase [21,22].…”

Section: Introductionmentioning

confidence: 99%

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A Land Evaluation Framework for Agricultural Diversification

Jahanshiri

Nizar²,

Suhairi³

et al. 2020

Sustainability

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Shortlisting ecologically adaptable plant species can be a starting point for agricultural diversification projects. We propose a rapid assessment framework based on an ecological model that can accelerate the evaluation of options for sustainable crop diversification. To test the new model, expert-defined and widely available crop requirement data were combined with more than 100,000 occurrence data for 40 crops of different types (cereals, legumes, vegetables, fruits, and tubers/roots). Soil pH, texture, and depth to bedrock data were obtained and harmonised based on the optimal rooting depths of each crop. Global baseline temperature and rainfall data were used to extract averages at each location. To evaluate the ability of the method to capture intraspecies variation, a test was performed using more than 1000 accession records of bambara groundnut (Vigna subterranea (L.) Verdc.) as an exemplar underutilised crop. Results showed that a suitability index based on soil pH and an index that combines the thermal suitability moderated by the soil pH, texture, and depth suitability have the potential to predict crop adaptability. We show that the proposed method can be combined with traditional land use and crop models to evaluate diversification options for sustainable land and agrobiodiversity resources management.

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Section: Combined Suitability Assessmentsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

A Land Evaluation Framework for Agricultural Diversification

Jahanshiri

Nizar²,

Suhairi³

et al. 2020

Sustainability

View full text Add to dashboard Cite

show abstract

“…This value is lower than for temperate regions, where 2.0% SOC is generally considered the threshold [34]. Piikki et al [35] identified 1.7% SOC as a lower limit in the production of common beans (Phaseolus vulgaris L.) in East Africa. The median SOC content in Murugusi (1.3% SOC) can be considered (too) low.…”

Section: Achievable Soc Sequestration In the Example Area(s)mentioning

confidence: 94%

A Boundary Plane Approach to Map Hotspots for Achievable Soil Carbon Sequestration and Soil Fertility Improvement

et al. 2019

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Soil organic carbon (SOC) sequestration is important in the global carbon cycle and an integral part of many initiatives and policies to mitigate climate change. For efficient targeting of measures leading to SOC sequestration, it is necessary to know the actual SOC content (%) and a realistic target SOC content (in contrast to the saturation content, which may not be easily achievable) under local biophysical and socioeconomic conditions. We developed a new method for the practical assessment of achievable SOC sequestration concerning soil texture based on a non-linear boundary plane approach, also applicable for mapping of SOC sequestration hotspots. The method was tested at two spatial scales (a 125 km2 catchment and a 4 km2 sub-area of that catchment) in a region in Western Kenya characterized by smallholder farming. Moreover, we assessed the associated benefits of increasing the SOC content from a crop production perspective and found significant correlations between SOC and other soil properties (pH, cation exchange capacity, and various plant-available macro- and micronutrients). This indicates a possible improvement in soil fertility when the SOC content is raised to the modeled target levels, which should be attainable without major changes in land use or agricultural systems.

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“…These include WorldClim (Hijmans et al, 2005) and the Climate Change, Agriculture and Food Security (CCAFS)-Climate database (Navarro-Racines et al, 2020), as well as methods to generate daily weather data for crop model simulations (Jones & Thornton, 2000, 2013. Contributions to soil (Jones & Thornton, 2015;Piikki et al, 2017;Vågen et al, 2016) and crop geography (IFPRI, 2019;You et al, 2009You et al, , 2017 for crop modeling have also been made in recent years. By contrast, CGIAR work on developing datasets that characterize crop management for crop modeling is limited to specific regional or national studies (see Sect.…”

Section: Model Development Parameterization and Input Datamentioning

confidence: 99%

CGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climate

et al. 2020

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Crop improvement efforts aiming at increasing crop production (quantity, quality) and adapting to climate change have been subject of active research over the past years. But, the question remains 'to what extent can breeding gains be achieved under a changing climate, at a pace sufficient to usefully contribute to climate adaptation, mitigation and food security?'. Here, we address this question by critically reviewing how model-based approaches can be used to assist breeding activities, with

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Improvement of spatial modelling of crop suitability using a new digital soil map of Tanzania

Cited by 21 publications

References 37 publications

A Land Evaluation Framework for Agricultural Diversification

A Land Evaluation Framework for Agricultural Diversification

A Boundary Plane Approach to Map Hotspots for Achievable Soil Carbon Sequestration and Soil Fertility Improvement

CGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climate

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