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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Autores principales: Carlos Manuel Hernández, Aliou Faye, Mamadou Ousseynou Ly, Zachary P. Stewart, P. V. Vara Prasad, Leonardo Mendes Bastos, Luciana Nieto, Ana J. P. Carcedo, Ignacio Antonio Ciampitti
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/22a1366e21364282a163617fc3f4dbc7
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spelling oai:doaj.org-article:22a1366e21364282a163617fc3f4dbc72021-11-11T19:27:49ZSoil and Climate Characterization to Define Environments for Summer Crops in Senegal10.3390/su1321117392071-1050https://doaj.org/article/22a1366e21364282a163617fc3f4dbc72021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11739https://doaj.org/toc/2071-1050Investigating 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.Carlos Manuel HernándezAliou FayeMamadou Ousseynou LyZachary P. StewartP. V. Vara PrasadLeonardo Mendes BastosLuciana NietoAna J. P. CarcedoIgnacio Antonio CiampittiMDPI AGarticlegeospatial analysisenvironmental classificationspatialtemporalvariabilityEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11739, p 11739 (2021)
institution DOAJ
collection DOAJ
language EN
topic geospatial analysis
environmental classification
spatial
temporal
variability
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
spellingShingle geospatial analysis
environmental classification
spatial
temporal
variability
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
Carlos Manuel Hernández
Aliou Faye
Mamadou Ousseynou Ly
Zachary P. Stewart
P. V. Vara Prasad
Leonardo Mendes Bastos
Luciana Nieto
Ana J. P. Carcedo
Ignacio Antonio Ciampitti
Soil and Climate Characterization to Define Environments for Summer Crops in Senegal
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.
format article
author Carlos Manuel Hernández
Aliou Faye
Mamadou Ousseynou Ly
Zachary P. Stewart
P. V. Vara Prasad
Leonardo Mendes Bastos
Luciana Nieto
Ana J. P. Carcedo
Ignacio Antonio Ciampitti
author_facet Carlos Manuel Hernández
Aliou Faye
Mamadou Ousseynou Ly
Zachary P. Stewart
P. V. Vara Prasad
Leonardo Mendes Bastos
Luciana Nieto
Ana J. P. Carcedo
Ignacio Antonio Ciampitti
author_sort Carlos Manuel Hernández
title Soil and Climate Characterization to Define Environments for Summer Crops in Senegal
title_short Soil and Climate Characterization to Define Environments for Summer Crops in Senegal
title_full Soil and Climate Characterization to Define Environments for Summer Crops in Senegal
title_fullStr Soil and Climate Characterization to Define Environments for Summer Crops in Senegal
title_full_unstemmed Soil and Climate Characterization to Define Environments for Summer Crops in Senegal
title_sort soil and climate characterization to define environments for summer crops in senegal
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/22a1366e21364282a163617fc3f4dbc7
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