Assessing the impact of soil use and management systems on soil health in Southern Brazil
The growing demand for adopting more sustainable agricultural management practices worldwide has prompted soil health assessment studies. In southern Brazil, there is a growing diversification in soil use and management systems. This study aimed to evaluate soil health under different soil use and m...
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Published in | Geoderma Regional Vol. 40; p. e00932 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.03.2025
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Online Access | Get full text |
ISSN | 2352-0094 2352-0094 |
DOI | 10.1016/j.geodrs.2025.e00932 |
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Abstract | The growing demand for adopting more sustainable agricultural management practices worldwide has prompted soil health assessment studies. In southern Brazil, there is a growing diversification in soil use and management systems. This study aimed to evaluate soil health under different soil use and management systems in this region using the Soil Management Assessment Framework. The study investigated secondary forest, no-tillage, and pasture across three mesoregions of Paraná State: West, Southwest, and Central East. Soil health was evaluated in the surface layer, and the Kruskal-Wallis test was used to assess the effect of soil use and management on soil health. Scores for bulk density, water-filled pore space, pH, phosphorus, potassium, microbial biomass carbon, and β-glucosidase activity were sensitive to detecting changes in soil conditions. However, other indicators, such as macroaggregate stability and total organic carbon, need refined algorithms for regional adaptation. Differences in soil health among soil use and management were observed. Secondary forest generally maintained optimal soil health indices, with values above 0.86. No-tillage showed good soil health indices in the evaluated layer, with values above 0.80. Notably, no-tillage with organic agricultural systems and the application of organic residues appeared to contribute positively to soil health improvement, with indices reaching 0.86 and 0.89, respectively. Pastures, especially silvopasture, showed potential for improving soil health through plant diversity, achieving an index of 0.88. We suggest that future studies compare different soil health indices to improve algorithms for interpreting soil health indicators on a regional scale.
•The Soil Management Assessment Framework distinguishes soil uses and management practices in southern Brazil.•Macroaggregate stability and total organic carbon highlight the need to refine algorithms for better soil health assessment.•Silvopastoral systems have demonstrated potential to enhance soil health by promoting plant diversity.•No-tillage combined with organic farming and organic residues positively impacts soil health. |
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AbstractList | The growing demand for adopting more sustainable agricultural management practices worldwide has prompted soil health assessment studies. In southern Brazil, there is a growing diversification in soil use and management systems. This study aimed to evaluate soil health under different soil use and management systems in this region using the Soil Management Assessment Framework. The study investigated secondary forest, no-tillage, and pasture across three mesoregions of Paraná State: West, Southwest, and Central East. Soil health was evaluated in the surface layer, and the Kruskal-Wallis test was used to assess the effect of soil use and management on soil health. Scores for bulk density, water-filled pore space, pH, phosphorus, potassium, microbial biomass carbon, and β-glucosidase activity were sensitive to detecting changes in soil conditions. However, other indicators, such as macroaggregate stability and total organic carbon, need refined algorithms for regional adaptation. Differences in soil health among soil use and management were observed. Secondary forest generally maintained optimal soil health indices, with values above 0.86. No-tillage showed good soil health indices in the evaluated layer, with values above 0.80. Notably, no-tillage with organic agricultural systems and the application of organic residues appeared to contribute positively to soil health improvement, with indices reaching 0.86 and 0.89, respectively. Pastures, especially silvopasture, showed potential for improving soil health through plant diversity, achieving an index of 0.88. We suggest that future studies compare different soil health indices to improve algorithms for interpreting soil health indicators on a regional scale.
•The Soil Management Assessment Framework distinguishes soil uses and management practices in southern Brazil.•Macroaggregate stability and total organic carbon highlight the need to refine algorithms for better soil health assessment.•Silvopastoral systems have demonstrated potential to enhance soil health by promoting plant diversity.•No-tillage combined with organic farming and organic residues positively impacts soil health. The growing demand for adopting more sustainable agricultural management practices worldwide has prompted soil health assessment studies. In southern Brazil, there is a growing diversification in soil use and management systems. This study aimed to evaluate soil health under different soil use and management systems in this region using the Soil Management Assessment Framework. The study investigated secondary forest, no-tillage, and pasture across three mesoregions of Paraná State: West, Southwest, and Central East. Soil health was evaluated in the surface layer, and the Kruskal-Wallis test was used to assess the effect of soil use and management on soil health. Scores for bulk density, water-filled pore space, pH, phosphorus, potassium, microbial biomass carbon, and β-glucosidase activity were sensitive to detecting changes in soil conditions. However, other indicators, such as macroaggregate stability and total organic carbon, need refined algorithms for regional adaptation. Differences in soil health among soil use and management were observed. Secondary forest generally maintained optimal soil health indices, with values above 0.86. No-tillage showed good soil health indices in the evaluated layer, with values above 0.80. Notably, no-tillage with organic agricultural systems and the application of organic residues appeared to contribute positively to soil health improvement, with indices reaching 0.86 and 0.89, respectively. Pastures, especially silvopasture, showed potential for improving soil health through plant diversity, achieving an index of 0.88. We suggest that future studies compare different soil health indices to improve algorithms for interpreting soil health indicators on a regional scale. |
ArticleNumber | e00932 |
Author | Galvão, Carolina Weigert Etto, Rafael Mazer Schiebelbein, Luis Miguel Giarola, Neyde Fabíola Balarezo Hyeda, Daiane de Paula, Ariane Lentice Becker, Regiane Kazmierczak |
Author_xml | – sequence: 1 givenname: Regiane Kazmierczak surname: Becker fullname: Becker, Regiane Kazmierczak email: regianekazmi@gmail.com organization: Soil Physics Laboratory, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil – sequence: 2 givenname: Carolina Weigert surname: Galvão fullname: Galvão, Carolina Weigert organization: Microbial Molecular Biology Laboratory, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil – sequence: 3 givenname: Rafael Mazer surname: Etto fullname: Etto, Rafael Mazer organization: Microbial Molecular Biology Laboratory, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil – sequence: 4 givenname: Daiane surname: Hyeda fullname: Hyeda, Daiane organization: Microbial Molecular Biology Laboratory, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil – sequence: 5 givenname: Ariane Lentice surname: de Paula fullname: de Paula, Ariane Lentice organization: Soil Physics Laboratory, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil – sequence: 6 givenname: Luis Miguel surname: Schiebelbein fullname: Schiebelbein, Luis Miguel organization: Soil Physics Laboratory, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil – sequence: 7 givenname: Neyde Fabíola Balarezo surname: Giarola fullname: Giarola, Neyde Fabíola Balarezo organization: Soil Physics Laboratory, State University of Ponta Grossa, Ponta Grossa, Paraná, Brazil |
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SubjectTerms | agricultural management Brazil bulk density health effects assessments microbial carbon No-tillage Pasture pastures phosphorus potassium secondary forests Silvopastoral system silvopastoral systems soil Soil conservation Soil health indicators Soil quality species diversity total organic carbon |
Title | Assessing the impact of soil use and management systems on soil health in Southern Brazil |
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