Predictors of Drought in Inland Valley Landscapes and Enabling Factors for Rice Farmers’ Mitigation Measures in the Sudan-Sahel Zone

Dossou-Yovo, Elliott Ronald; Zwart, Sander J.; Kouyaté, Amadou Malé; Ouédraogo, Ibrahima; Bakare, Oladele S.

doi:10.3390/su11010079

Cited by 12 publications

(9 citation statements)

References 39 publications

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“…This section provides a summary of the approaches followed to develop the geospatial data base. We refer to Dossou-Yovo et al [5] for a full description of the methodology that was followed. Data were collected in two phases.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

A geospatial database of drought occurrence in inland valleys in Mali, Burkina Faso and Nigeria

Dossou-Yovo

Kouyaté

Sawadogo³

et al. 2018

Data in Brief

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The data described in this article are related to drought occurrence in inland valleys and farmers adaptation strategies. The data were collected in 300 inland valleys distributed in 14 regions of West Africa. The data were collected in two phases. In the first phase, 300 inland valleys were identified in 14 regions and their locations were determined with handheld GPS devices. Questionnaires and informal interviews were administered to inland valleys users to collect data on physical and socio-economic characteristics, hydrology, farmers experience with drought affecting rice production in inland valleys and adaptation strategies. In the second phase, the locations of the inland valleys were imported in a GIS environment and were used to extract additional parameters on soil characteristics and water demand from the Shuttle Radar Topography Mission (SRTM), Africa Soil Information Service (africasoils.net) and POWER database (http://power.larc.nasa.gov). In total, the dataset contains 41 variables divided into seven themes: farmers’ experience with drought, adaptive management of rice farmers to drought, physical characteristics, hydrology, management practices, socio-economic characteristics and weather data of inland valleys.

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

A geospatial database of drought occurrence in inland valleys in Mali, Burkina Faso and Nigeria

Dossou-Yovo

Kouyaté

Sawadogo³

et al. 2018

Data in Brief

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“…An appropriate early response to drought warnings requires ground validation, which may be supplied by citizen science or farmer community surveys, for timely submission of accurate, detailed information [85,121]. Geo-tagging the local drought area under consideration, with GPS-based surveys and geo-referenced field photos, can facilitate that by providing valid, location-based information [28,122].…”

Section: Geo-tagging and Agro-tagging Inputs To Dewsmentioning

confidence: 99%

Drought Early Warning in Agri-Food Systems

Ginkel¹,

Biradar²

2021

Climate

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Droughts will increase in frequency, intensity, duration, and spread under climate change. Drought affects numerous sectors in society and the natural environment, including short-term reduced crop production, social conflict over water allocation, severe outmigration, and eventual famine. Early action can prevent escalation of impacts, requiring drought early warning systems (DEWSs) that give current assessments and sufficient notice for active risk management. While most droughts are relatively slow in onset, often resulting in late responses, flash droughts are becoming more frequent, and their sudden onset poses challenging demands on DEWSs for timely communication. We examine several DEWSs at global, regional, and national scales, with a special emphasis on agri-food systems. Many of these have been successful, such as some of the responses to 2015–2017 droughts in Africa and Latin America. Successful examples show that early involvement of stakeholders, from DEWS development to implementation, is crucial. In addition, regional and global cooperation can cross-fertilize with new ideas, reduce reaction time, and raise efficiency. Broadening partnerships also includes recruiting citizen science and including seemingly subjective indigenous knowledge that can improve monitoring, data collection, and uptake of response measures. More precise and more useful DEWSs in agri-food systems will prove even more cost-effective in averting the need for emergency responses, improving global food security.

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“… The dataset was deployed to assess the diversity and importance of inland valley agricultural systems to a regional scale in Sierra Leone [1] . To expand regional coverage the data can be linked to similar surveys conducted in inland valleys in Niger state (Nigeria), entire Burkina Faso and southern Mali [3] , [4] . …”

mentioning

confidence: 99%

“…To expand regional coverage the data can be linked to similar surveys conducted in inland valleys in Niger state (Nigeria), entire Burkina Faso and southern Mali [3] , [4] .…”

mentioning

confidence: 99%

“…Value of the data A large multidisciplinary dataset comprising 499 inland valleys in three countries in West-Africa that cover location, biophysical characteristics, socioeconomic characteristics and inland valley exploitation.The dataset can be deployed to analyze the potential for agricultural development, to characterize diverse inland valley landscapes, to perform environment impact assessments, to classify land use from satellite imagery, etc.The dataset contributes to food security research and assessments in West-Africa and leads to further understanding of the diversity of agricultural systems and their potential to contribute to food production and income generation for the rural population.The dataset was deployed to assess the diversity and importance of inland valley agricultural systems to a regional scale in Sierra Leone [1].To expand regional coverage the data can be linked to similar surveys conducted in inland valleys in Niger state (Nigeria), entire Burkina Faso and southern Mali [3], [4].…”

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confidence: 99%

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A geospatial dataset of inland valleys in four zones in Benin, Sierra Leone and Mali

et al. 2019

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The dataset described in this data article represents four agricultural zones in West-Africa that are located in three countries: Benin, Mali and Sierra Leone. The dataset was created through a research collaboration between the Africa Rice Center (AfricaRice), Sierra Leone Agricultural Research Institute (SLARI) and the Institute for Rural Economy (IER). The dataset was compiled to investigate the potential for rice production in inland valleys of the three countries. The results of the investigation were published in Dossou-Yovo et al. (2017) and Djagba et al. (2018). The dataset describes the biophysical and socioeconomic conditions of 499 inland valleys in the four agricultural zones. In each inland valley data were collected through a focus group interview with a minimum of three farmers. In 499 interviews a total of 7496 farmers participated. The location of each inland valley was determined with handheld GPS devices. The geographic locations were used to extract additional parameters from digital maps on soils, elevation, population density, rainfall, flow accumulation, and distances to roads, market places, rice mills, chemical input stores, and settlements. The dataset contains 65 parameters in four themes (location, biophysical characteristics, socioeconomic characteristics, and inland valley land development and use). The GPS coordinates indicate the location of an inland valley, but they do not lead to the location of individual fields of farmers that were interviewed. The dataset is publicly shared as Supplementary data to this data article.

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Predictors of Drought in Inland Valley Landscapes and Enabling Factors for Rice Farmers’ Mitigation Measures in the Sudan-Sahel Zone

Cited by 12 publications

References 39 publications

A geospatial database of drought occurrence in inland valleys in Mali, Burkina Faso and Nigeria

A geospatial database of drought occurrence in inland valleys in Mali, Burkina Faso and Nigeria

Drought Early Warning in Agri-Food Systems

A geospatial dataset of inland valleys in four zones in Benin, Sierra Leone and Mali

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