Bedolla-Rivera, H.I.; Negrete-Rodríguez, M.d.l.L.X.; Gámez-Vázquez, F.P.; Álvarez-Bernal, D.; Conde-Barajas, E. Analyzing the Impact of Intensive Agriculture on Soil Quality: A Systematic Review and Global Meta-Analysis of Quality Indexes. Agronomy 2023, 13, 2166. https://doi.org/10.3390/agronomy13082166
Bedolla-Rivera, H.I.; Negrete-Rodríguez, M.d.l.L.X.; Gámez-Vázquez, F.P.; Álvarez-Bernal, D.; Conde-Barajas, E. Analyzing the Impact of Intensive Agriculture on Soil Quality: A Systematic Review and Global Meta-Analysis of Quality Indexes. Agronomy 2023, 13, 2166. https://doi.org/10.3390/agronomy13082166
Bedolla-Rivera, H.I.; Negrete-Rodríguez, M.d.l.L.X.; Gámez-Vázquez, F.P.; Álvarez-Bernal, D.; Conde-Barajas, E. Analyzing the Impact of Intensive Agriculture on Soil Quality: A Systematic Review and Global Meta-Analysis of Quality Indexes. Agronomy 2023, 13, 2166. https://doi.org/10.3390/agronomy13082166
Bedolla-Rivera, H.I.; Negrete-Rodríguez, M.d.l.L.X.; Gámez-Vázquez, F.P.; Álvarez-Bernal, D.; Conde-Barajas, E. Analyzing the Impact of Intensive Agriculture on Soil Quality: A Systematic Review and Global Meta-Analysis of Quality Indexes. Agronomy 2023, 13, 2166. https://doi.org/10.3390/agronomy13082166
Abstract
As the global population grows, the demand for food increases and puts a strain on food production systems and agricultural productivity, causing soil degradation. Soil Quality Indexes (SQIs) have been developed to maintain and improve soil quality. However, due to the variety of soils and SQIs, analyzing and comparing results has been historically difficult. Therefore, in this study, we carried out a systematic review with meta-analysis focused on soil quality studies of agricultural soils under intensive agriculture using the unified weighted additive SQI methodology (SQIU). We analyzed 65 quality observations obtained from 22 studies. Chemical indicators were the most prevalent in the SQIUs, followed by physical and biological indicators. Conventional soil management had negative effects on soil quality (–7.55%). From the factors analyzed, the minimum database had a significant effect on the soil quality results, but not the number of indicators that made up the SQIU. The SQIU made up of chemical-biological indicators (CB) presented negatively overestimated measurements of soil quality (–32.53%), exaggerating the damage to the analyzed soils. The indicators that correlated most strongly with the size of the effect on agricultural soil quality were the cation exchange capacity (CEC), carbon to nitrogen ratio (C/N), and microbial biomass carbon (MBC). The SQIU is a feasible tool to interpret the quality of agricultural soils around the world, as it makes it possible to obtain a simple and generalized view of soil conditions.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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