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The increase of soil organic matter reduces global warming, myth or reality?
The soil has lost organic matter in the past centuries. Adding organic matter to soils is one of
the management practices applied to recover the levels of soil carbon of the past and to …
the management practices applied to recover the levels of soil carbon of the past and to …
Microbial carbon use efficiency promotes global soil carbon storage
Soils store more carbon than other terrestrial ecosystems,. How soil organic carbon (SOC)
forms and persists remains uncertain,, which makes it challenging to understand how it will …
forms and persists remains uncertain,, which makes it challenging to understand how it will …
[HTML][HTML] An overview of biostimulants' effects in saline soils
The unsustainable use of natural resources and their overexploitation continue to be major
threats to global agriculture development. This practice increases the abiotic stresses …
threats to global agriculture development. This practice increases the abiotic stresses …
Gains in biodiversity conservation and ecosystem services from the expansion of the planet's protected areas
Protected areas safeguard biodiversity, ensure ecosystem functioning, and deliver
ecosystem services to communities. However, only~ 16% of the world's land area is under …
ecosystem services to communities. However, only~ 16% of the world's land area is under …
Digital map** of soil organic carbon using ensemble learning model in Mollisols of Hyrcanian forests, northern Iran
This study was conducted to evaluate the efficacy of the ensemble machine learning model
to predict the spatial variation of soil organic carbon (SOC) concentration in a deciduous …
to predict the spatial variation of soil organic carbon (SOC) concentration in a deciduous …
[HTML][HTML] Estimating soil organic carbon stock change at multiple scales using machine learning and multivariate geostatistics
Many national and international initiatives rely on spatially explicit information on soil
organic carbon (SOC) stock change at multiple scales to support policies aiming at land …
organic carbon (SOC) stock change at multiple scales to support policies aiming at land …
[HTML][HTML] Comparison of various uncertainty modelling approaches based on geostatistics and machine learning algorithms
We compared the suitability of several commonly applied digital soil map** (DSM)
techniques to quantify uncertainty with regards to a survey of soil organic carbon stock …
techniques to quantify uncertainty with regards to a survey of soil organic carbon stock …
Soil exchangeable cations estimation using Vis-NIR spectroscopy in different depths: Effects of multiple calibration models and spiking
Due to high rate of nutrient removal by cotton plants, the productive cotton-growing soils of
Australia are becoming depleted of exchangeable (exch.) cations. For long-term …
Australia are becoming depleted of exchangeable (exch.) cations. For long-term …
Digital map** for soil texture class prediction in northwestern Türkiye by different machine learning algorithms
Soil texture classes (STCs) influence the physical, chemical and biological properties of the
soil, and accurate spatial predictions of STCs are essential for agro-ecological modeling …
soil, and accurate spatial predictions of STCs are essential for agro-ecological modeling …
Assessment of the soil fertility status in Benin (West Africa)–Digital soil map** using machine learning
A soil fertility index map (SFIm) can provide key information to decision-makers in regard to
spatial planning in the context of sustainable land management. The establishment of such …
spatial planning in the context of sustainable land management. The establishment of such …