Measuring Soil Quality Indicators under Different Climate-Smart Land Uses across East African Climate-Smart Villages

The present study assessed soil physical-chemical characteristics as reliable soil health indicators in six climate-smart land use types; agroforestry, community forest, cropland with soil and water conservation (SWC), crop land without SWC, grassland and control across climate-smart villages (CSVs)...

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Autores principales: Recha, John W.M., Olale, Kennedy O., Sila, Andrew, Ambaw, Gebermedihin, Radeny, Maren A.O., Solomon, Dawit
Formato: Journal Article
Lenguaje:Inglés
Publicado: MDPI 2022
Materias:
Acceso en línea:https://hdl.handle.net/10568/118203
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author Recha, John W.M.
Olale, Kennedy O.
Sila, Andrew
Ambaw, Gebermedihin
Radeny, Maren A.O.
Solomon, Dawit
author_browse Ambaw, Gebermedihin
Olale, Kennedy O.
Radeny, Maren A.O.
Recha, John W.M.
Sila, Andrew
Solomon, Dawit
author_facet Recha, John W.M.
Olale, Kennedy O.
Sila, Andrew
Ambaw, Gebermedihin
Radeny, Maren A.O.
Solomon, Dawit
author_sort Recha, John W.M.
collection Repository of Agricultural Research Outputs (CGSpace)
description The present study assessed soil physical-chemical characteristics as reliable soil health indicators in six climate-smart land use types; agroforestry, community forest, cropland with soil and water conservation (SWC), crop land without SWC, grassland and control across climate-smart villages (CSVs) in Lushoto (Tanzania), Hoima (Uganda), Wote and Nyando (Kenya). Soils were sampled at three depths; 0–15 cm, 15–45 cm and 45–100 cm and then analyzed for bulk density (BD), pH, exchangeable bases (Ca, Mg, K, Na), extractable Fe, Mn, Zn, exchangeable acidity (ExAc), Electrical conductivity (EC), total carbon (TC), total nitrogen (TN) and cation exchange capacity (CEC). Land use types and sampling depths significantly affected soil properties (p < 0.05), High bulk density (BD) was measured at 45–100 cm depth in grassland (1.47 g/cm3) and crop land (1.50 g/cm3) in Kenya and Tanzania, respectively. BD in Ugandan grasslands was statistically lower (p < 0.05) than BD in other land use types at all depths. Soil pH of surface soil (0–15 cm) ranged from 6.67 ± 0.67 (agroforestry) to 6.27 ± 0.85 (grassland). Ex. bases (Ca, Mg, K and Na) and extractable Fe, Mn, Zn, ExAc, EC, TC, TN and CEC were significantly affected by land uses (p ≤ 0.05). Soil properties were significantly correlated, a positive correlation between silt % (p < 0.01) and pH, sand and Ca (p < 0.05). EC and pH, exchangeable Ca, exchangeable bases, exchangeable K and C: N ratio was observed. There was a negative correlation (p < 0.05) between pH and clay. The study has shown that improving soil properties using land use systems leads to an increase in soil nutrients.
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spelling CGSpace1182032025-12-08T10:29:22Z Measuring Soil Quality Indicators under Different Climate-Smart Land Uses across East African Climate-Smart Villages Recha, John W.M. Olale, Kennedy O. Sila, Andrew Ambaw, Gebermedihin Radeny, Maren A.O. Solomon, Dawit agriculture climate-smart agriculture land soil The present study assessed soil physical-chemical characteristics as reliable soil health indicators in six climate-smart land use types; agroforestry, community forest, cropland with soil and water conservation (SWC), crop land without SWC, grassland and control across climate-smart villages (CSVs) in Lushoto (Tanzania), Hoima (Uganda), Wote and Nyando (Kenya). Soils were sampled at three depths; 0–15 cm, 15–45 cm and 45–100 cm and then analyzed for bulk density (BD), pH, exchangeable bases (Ca, Mg, K, Na), extractable Fe, Mn, Zn, exchangeable acidity (ExAc), Electrical conductivity (EC), total carbon (TC), total nitrogen (TN) and cation exchange capacity (CEC). Land use types and sampling depths significantly affected soil properties (p < 0.05), High bulk density (BD) was measured at 45–100 cm depth in grassland (1.47 g/cm3) and crop land (1.50 g/cm3) in Kenya and Tanzania, respectively. BD in Ugandan grasslands was statistically lower (p < 0.05) than BD in other land use types at all depths. Soil pH of surface soil (0–15 cm) ranged from 6.67 ± 0.67 (agroforestry) to 6.27 ± 0.85 (grassland). Ex. bases (Ca, Mg, K and Na) and extractable Fe, Mn, Zn, ExAc, EC, TC, TN and CEC were significantly affected by land uses (p ≤ 0.05). Soil properties were significantly correlated, a positive correlation between silt % (p < 0.01) and pH, sand and Ca (p < 0.05). EC and pH, exchangeable Ca, exchangeable bases, exchangeable K and C: N ratio was observed. There was a negative correlation (p < 0.05) between pH and clay. The study has shown that improving soil properties using land use systems leads to an increase in soil nutrients. 2022-02-21 2022-02-21T16:29:54Z 2022-02-21T16:29:54Z Journal Article https://hdl.handle.net/10568/118203 en Open Access MDPI Recha JW, Olale KO, Sila AM, Ambaw G, Radeny M, Solomon D. 2022. Measuring Soil Quality Indicators under Different Climate-Smart Land Uses across East African Climate-Smart Villages. Agronomy 12(2):530.
spellingShingle agriculture
climate-smart agriculture
land
soil
Recha, John W.M.
Olale, Kennedy O.
Sila, Andrew
Ambaw, Gebermedihin
Radeny, Maren A.O.
Solomon, Dawit
Measuring Soil Quality Indicators under Different Climate-Smart Land Uses across East African Climate-Smart Villages
title Measuring Soil Quality Indicators under Different Climate-Smart Land Uses across East African Climate-Smart Villages
title_full Measuring Soil Quality Indicators under Different Climate-Smart Land Uses across East African Climate-Smart Villages
title_fullStr Measuring Soil Quality Indicators under Different Climate-Smart Land Uses across East African Climate-Smart Villages
title_full_unstemmed Measuring Soil Quality Indicators under Different Climate-Smart Land Uses across East African Climate-Smart Villages
title_short Measuring Soil Quality Indicators under Different Climate-Smart Land Uses across East African Climate-Smart Villages
title_sort measuring soil quality indicators under different climate smart land uses across east african climate smart villages
topic agriculture
climate-smart agriculture
land
soil
url https://hdl.handle.net/10568/118203
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