Soil and Climate Characterization to Define Environments for Summer Crops in Senegal

Investigating soil and climate variability is critical to defining environments for field crops, understanding yield-limiting factors, and contributing to the sustainability and resilience of agro-ecosystems. Following this rationale, the aim of this study was to develop a soil–climate characterizat...

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Veröffentlicht in:Sustainability 2021-11, Vol.13 (21), p.11739
Hauptverfasser: Hernández, Carlos Manuel, Faye, Aliou, Ly, Mamadou Ousseynou, Stewart, Zachary P, Vara Prasad, P. V, Bastos, Leonardo Mendes, Nieto, Luciana, Carcedo, Ana J. P, Ciampitti, Ignacio Antonio
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container_end_page
container_issue 21
container_start_page 11739
container_title Sustainability
container_volume 13
creator Hernández, Carlos Manuel
Faye, Aliou
Ly, Mamadou Ousseynou
Stewart, Zachary P
Vara Prasad, P. V
Bastos, Leonardo Mendes
Nieto, Luciana
Carcedo, Ana J. P
Ciampitti, Ignacio Antonio
description Investigating soil and climate variability is critical to defining environments for field crops, understanding yield-limiting factors, and contributing to the sustainability and resilience of agro-ecosystems. Following this rationale, the aim of this study was to develop a soil–climate characterization to describe environmental constraints in the Senegal summer-crops region. For the soil database, 825 soil samples were collected characterizing pH, electrical conductivity (EC), phosphorus (P), potassium (K), cation exchange capacity (CEC), and total carbon (C) and nitrogen (N). For the climate, monthly temperature, precipitation, and evapotranspiration layers were retrieved from WorldClim 2.1, CHIRPS and TERRACLIMATE. The same analysis was applied individually to both databases. Briefly, a principal component analysis (PCA) was executed to summarize the spatial variability. The outcomes from the PCA were subjected to a spatial fuzzy c-means algorithm, delineating five soil and three climate homogeneous areas, accounting for 73% of the soil and 88% of the climate variation. To our knowledge, no previous studies were done with large soil databases since availability field data is often limited. The use of soil and climate data allowed the characterization of different areas and their main drivers. The use of this classification will assist in developing strategic planning for future land use and capability classifications.
doi_str_mv 10.3390/su132111739
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For the climate, monthly temperature, precipitation, and evapotranspiration layers were retrieved from WorldClim 2.1, CHIRPS and TERRACLIMATE. The same analysis was applied individually to both databases. Briefly, a principal component analysis (PCA) was executed to summarize the spatial variability. The outcomes from the PCA were subjected to a spatial fuzzy c-means algorithm, delineating five soil and three climate homogeneous areas, accounting for 73% of the soil and 88% of the climate variation. To our knowledge, no previous studies were done with large soil databases since availability field data is often limited. The use of soil and climate data allowed the characterization of different areas and their main drivers. 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subjects Agricultural ecosystems
Agricultural production
Agriculture
Cation exchange
Cation exchanging
Classification
Climate
Climate variability
Climatic data
Crop yield
Crops
Crops and soils
Datasets
Electrical conductivity
Electrical resistivity
Environmental aspects
Evapotranspiration
Fertilizers
Food security
Land use
Land use management
Livestock
Nitrogen
Phosphorus
Potassium
Precipitation
Principal components analysis
Productivity
Seasons
Soil fertility
Soil investigations
Soils
Sorghum
Summer
Sustainability
Temperature
Topography
Variability
title Soil and Climate Characterization to Define Environments for Summer Crops in Senegal
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