Crop calendar optimization for climate change adaptation in yam farming in South-Kivu, eastern D.R. Congo DOI Creative Commons
Jean M. Mondo, Géant Basimine Chuma,

Henri M. Matiti

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(9), P. e0309775 - e0309775

Published: Sept. 4, 2024

The traditional crop calendar for yam ( Dioscorea spp.) in South-Kivu, eastern Democratic Republic of Congo (DRC), is becoming increasingly inadequate given the significant climatic variability observed over last three decades. This study aimed at: (i) assessing trends weather data across time and space to ascertain climate change, (ii) optimizing various South-Kivu agro-ecological zones (AEZs) adapt changing climate. 1990–2022 series were downloaded from NASA-MERRA platform, bias correction was carried out using local stations’ records, analyses performed RClimDex 1.9. Local knowledge CROPWAT 8.0 used define planting dates different AEZs. Results showed existence four AEZs province, with contrasting altitudes, temperatures, rainfall patterns. Climate change real all these South-Kivu’s AEZs, resulting either deficits some areas, or extreme events others, temperature increases Suitable varied September 15 th 20 recommended AEZ 2 while October optimal 1, 3, 4. However, none date scenarios could meet water requirements AEZ1, AEZ3, AEZ4, since effective (Pmm) always inferior plant demand (ETc), meaning that soil conservation practices are needed optimum growth yield does not recommend during short rainy season owing prolonged droughts coinciding critical phases yam, unless supplemental irrigation envisaged. provided insights on nature past decades suggested a suits DRC.

Language: Английский

Crop calendar optimization for climate change adaptation in yam farming in South-Kivu, eastern D.R. Congo DOI Creative Commons
Jean M. Mondo, Géant Basimine Chuma,

Henri M. Matiti

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(9), P. e0309775 - e0309775

Published: Sept. 4, 2024

The traditional crop calendar for yam ( Dioscorea spp.) in South-Kivu, eastern Democratic Republic of Congo (DRC), is becoming increasingly inadequate given the significant climatic variability observed over last three decades. This study aimed at: (i) assessing trends weather data across time and space to ascertain climate change, (ii) optimizing various South-Kivu agro-ecological zones (AEZs) adapt changing climate. 1990–2022 series were downloaded from NASA-MERRA platform, bias correction was carried out using local stations’ records, analyses performed RClimDex 1.9. Local knowledge CROPWAT 8.0 used define planting dates different AEZs. Results showed existence four AEZs province, with contrasting altitudes, temperatures, rainfall patterns. Climate change real all these South-Kivu’s AEZs, resulting either deficits some areas, or extreme events others, temperature increases Suitable varied September 15 th 20 recommended AEZ 2 while October optimal 1, 3, 4. However, none date scenarios could meet water requirements AEZ1, AEZ3, AEZ4, since effective (Pmm) always inferior plant demand (ETc), meaning that soil conservation practices are needed optimum growth yield does not recommend during short rainy season owing prolonged droughts coinciding critical phases yam, unless supplemental irrigation envisaged. provided insights on nature past decades suggested a suits DRC.

Language: Английский

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