Effect of climate change on land suitability for surface irrigation and irrigation potential of the shallow groundwater in Ghana

Worqlul, Abeyou W.; Dile, Yihun T.; Jeong, Jaehak; Adimassu, Zenebe; Lefore, Nicole; Gerik, T. J.; Srinivasan, Raghavan; Clarke, Neville P.

doi:10.1016/j.compag.2018.12.040

Cited by 52 publications

(21 citation statements)

References 74 publications

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“…In Ghana, agriculture employs more than half of the population directly and indirectly and is important for in contributing to food security, gross domestic production (GDP) and balance of payments [5]. Changing climatic conditions pose significant threat to the growth of the agricultural sector in Ghana because heavy reliance on rain fed production and drought vulnerability, especially as less than 2% of the agricultural area is under irrigation [6,7].…”

Section: Introductionmentioning

confidence: 99%

Impacts of climate change on agro-climatic suitability of major food crops in Ghana

2020

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Climate change is projected to impact food production stability in many tropical countries through impacts on crop potential. However, without quantitative assessments of where, by how much and to what extent crop production is possible now and under future climatic conditions, efforts to design and implement adaptation strategies under Nationally Determined Contributions (NDCs) and National Action Plans (NAP) are unsystematic. In this study, we used extreme gradient boosting, a machine learning approach to model the current climatic suitability for maize, sorghum, cassava and groundnut in Ghana using yield data and agronomically important variables. We then used multi-model future climate projections for the 2050s and two greenhouse gas emissions scenarios (RCP 2.6 and RCP 8.5) to predict changes in the suitability range of these crops. We achieved a good model fit in determining suitability classes for all crops (AUC = 0.81-0.87). Precipitation-based factors are suggested as most important in determining crop suitability, though the importance is crop-specific. Under projected climatic conditions, optimal suitability areas will decrease for all crops except for groundnuts under RCP8.5 (no change: 0%), with greatest losses for maize (12% under RCP2.6 and 14% under RCP8.5). Under current climatic conditions, 18% of Ghana has optimal suitability for two crops, 2% for three crops with no area having optimal suitability for all the four crops. Under projected climatic conditions, areas with optimal suitability for two and three crops will decrease by 12% as areas having moderate and marginal conditions for multiple crops increase. We also found that although the distribution of multiple crop suitability is spatially distinct, cassava and groundnut will be more simultaneously suitable for the south while groundnut and sorghum will be more suitable for the northern parts of Ghana under projected climatic conditions.

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Section: Introductionmentioning

confidence: 99%

Impacts of climate change on agro-climatic suitability of major food crops in Ghana

2020

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“…The impact of climate change on cropland suitability is very important to sustainable agriculture (Worqlul et al 2019). Based on their research, Peter & Messina (2020) proposed the factors that affect cropland suitability are temperature and rainfall.…”

Section: Research Variablementioning

confidence: 99%

Iot Based Smart Agro-Industrial Technology With Spatial Analysis

et al. 2020

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Smart teknologi berkembang pesat di sektor agroindustri. Tujuan dari penelitian ini adalah merancang dan mengembangkan sistem agroindustri kentang yang optimal dan adaptif. Dalam penelitian ini ditambahkan Internet of Things (IoT) yaitu penginderaan jauh untuk memprediksi jumlah panen dan kapasitas produksi. Sebelum menerapkan IoT, perspektif spasial dianalisis menggunakan spasial dan geoprocessing. Sampel penelitian menggunakan random grid di Wonosobo, Jawa Tengah, Indonesia. Titik optimal diperoleh di Kejajar (N1), Garung (N2), Kalikajar (N3), Kepil (N4) dan Mojotengah (N5). Pada penelitian ini dipasang sensor suhu dan kelembaban SHT15 serta curah hujan Rain Gauge di 5 titik. Sensor memberikan data secara rutin selama 30 hari. Berdasarkan analisis kesesuaian lahan, lokasi yang paling sesuai adalah Kejajar (N1) di koordinat 7°14'11.8"LS, 109°56'29.7"BT. Hasil penelitian menunjukkan bahwa berdasarkan 24 titik sampel dengan luas rata-rata 2,5m x 2,5m dihasilkan rata-rata total panen 8,62 kg/m 2 dan prediksi produktivitas panen 13,79 ton/ha. Sistem ini dapat memprediksi jumlah panen dan kapasitas produksi yang baik dengan tingkat akurasi 89,35%. Dengan demikian, metode ini dapat digunakan dan merepresentasikan pertanian melalui inovasi digital menggunakan smart teknologi agroindustri. Untuk penelitian selanjutnya, metode ini dapat dilanjutkan untuk penanganan pascapanen dengan menggunakan Sistem Operasi berbasis Android.

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“…In addition to crop yield responses, climate change will also impact sequential cropping, rainfed cropland expansion, and irrigation expansion in tropical Sub-Saharan Africa (SSA) (Duku et al, 2018). In Ghana, for example, it is estimated that about 9.5% of the potentially suitable land will become unsuitable for irrigation in the 2050s, and it is expected to reach 17% in the 2070s due to climate change (Worqlul et al, 2019). For a wide range of crops, climate change will induce shifts in the areas previously suitable for their cultivation (Lane and Jarvis, 2007).…”

Section: Introductionmentioning

confidence: 99%

Climate change-induced reduction in agricultural land suitability of West-Africa's inland valley landscapes

Akpoti

Groen

Dossou-Yovo

et al. 2022

Agricultural Systems

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Effect of climate change on land suitability for surface irrigation and irrigation potential of the shallow groundwater in Ghana

Cited by 52 publications

References 74 publications

Impacts of climate change on agro-climatic suitability of major food crops in Ghana

Impacts of climate change on agro-climatic suitability of major food crops in Ghana

Iot Based Smart Agro-Industrial Technology With Spatial Analysis

Climate change-induced reduction in agricultural land suitability of West-Africa's inland valley landscapes

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