12 research outputs found

    Pearson’s correlation coefficients and probability of error (<i>p</i>) among soil quality indexes (SQI) developed to assess the land use change (native vegetation—pasture—sugarcane) impacts on soil quality in central-southern Brazil.

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    <p>Pearson’s correlation coefficients and probability of error (<i>p</i>) among soil quality indexes (SQI) developed to assess the land use change (native vegetation—pasture—sugarcane) impacts on soil quality in central-southern Brazil.</p

    Soil Quality Index (SQI)<sup>§</sup> scores under native vegetation (NV), pasture (PA) and sugarcane (SC), for the 0–30 cm depth, at three sites in central-southern Brazil.

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    <p><sup>§</sup>SQI strategies: SQI-1: TDS/non-linear/simple additive, SQI-2: TDS/non-linear/weighted additive, SQI-3: MDS<sub>-PCA</sub>/non-linear/simple additive, SQI-4: MDS<sub>-PCA</sub>/non-linear/ weighted additive, SQI-5: MDS<sub>-EO</sub> /non-linear/simple additive, and SQI-6: MDS<sub>-EO</sub> /non-linear/weighted additive. *Mean values within each index followed by the same letter do not differ among themselves according to Tukey’s test (<i>p</i><0.05).</p

    Soil functions framework and indicators<sup>§</sup> used to develop the SQI-2.

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    <p>Soil functions framework and indicators<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0150860#t002fn001" target="_blank"><sup>§</sup></a> used to develop the SQI-2.</p
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