Soil characteristics of savannah soils across Brasil

Parizzi, T. N. T.; Bento, Danilo Frascareli

doi:10.1594/pangaea.881658

Cited by 1 publication

(1 citation statement)

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“…The 10,796 data points were obtained from secondary sources of pedological profiles and ground surveys. They were stored in an information system operated as an Open Access library of the georeferenced data PANGAEA [27]. The dataset considered all pedological profiles to have at least four depths sampled up to a minimum of one meter and located in natural vegetation, pasture, or sugarcane according to Landsat satellite images from soil analysis dates.…”

Section: Data Source and Analysis Methodsmentioning

confidence: 99%

Modeling soil organic carbon based on field soil-texture measurements

Terra,

Dos Santos,

Lamparello

2024

Nat. Resour. Conserv. Res.

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There are many studies about soil organic carbon (SOC) around the world but, in extensive territories, it is more difficult to obtain data due to the number of variables involved in the models and their high cost. In large regions with poor infrastructure, low-cost SOC models are needed. With this in mind, our objective was to estimate the SOC using a simple model based on soil textural data. The work was focused on savanna soil and validated the model in the Brazilian Savanna. Two models were constructed, one for topsoil (0–0.3 m) and other for subsoil (0.3–1.0 m). The SOC models can be carried out in a textural triangle together with SOC values. The results showed that subsoil models were more accurate than topsoil models, but both had good performance. The models give support to SOC-related preliminary research in gross and fast estimates, requiring only reduced financial contribution to calculate SOC in a large region of interest.

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Section: Data Source and Analysis Methodsmentioning

confidence: 99%