Quantifying spatial uncertainty to improve soil predictions in data-sparse regions Abstract. Artificial neural networks (ANNs) are valuable tools for predicting soil properties using large datasets. However, a common challenge in soil sciences is the uneven distribution of soil samp...

🆕 New publication in SOIL journal!

📖 Quantifying spatial uncertainty to improve soil predictions in data-sparse regions

👥 Rau et al.

🔗 soil.copernicus.org/articles/11/...

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High-resolution frequency-domain electromagnetic mapping for the hydrological modeling of an orange orchard Abstract. While aboveground precision agriculture technologies provide spatial and temporal datasets that are ever increasing in terms of density and precision, belowground information lags behind and...

🆕 New publication in SOIL journal!

📖 High-resolution frequency-domain electromagnetic mapping for the hydrological modeling of an orange orchard

👥 Peruzzo et al.

🔗 soil.copernicus.org/articles/11/...

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High biodegradability of water-soluble organic carbon in soils at the southern margin of the boreal forest Abstract. Water-soluble organic carbon (WSOC) is an important component of the soil organic carbon pool. While the biodegradability and its compositional changes of WSOC in deep soils in boreal forest...

🆕 New publication in SOIL journal!

📖 High biodegradability of water-soluble organic carbon in soils at the southern margin of the boreal forest

👥 Zhu et al.

🔗 soil.copernicus.org/articles/11/...

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Terrain is a stronger predictor of peat depth than airborne radiometrics in Norwegian landscapes Abstract. Peatlands are Earth's most carbon-dense terrestrial ecosystems and their carbon density varies with the depth of the peat layer. Accurate mapping of peat depth is crucial for carbon accounti...

🆕 New publication in SOIL journal!

📖 Terrain is a stronger predictor of peat depth than airborne radiometrics in Norwegian landscapes

👥 Vollering et al.

🔗 soil.copernicus.org/articles/11/...

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What if publication bias is the rule and net carbon loss from priming the exception? Abstract. Priming effects in soil science describe the influence of fresh carbon (C) inputs on rates of microbial mineralisation of native soil organic matter, which can either increase (positive prim...

🆕 New publication in SOIL journal!
📖 What if publication bias is the rule and net carbon loss from priming the exception?

👥 Michel et al.

🔗 soil.copernicus.org/articles/11/...

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A simple model of the turnover of organic carbon in a soil profile: model test, parameter identification and sensitivity Abstract. Simulation models are potentially useful tools to test our understanding of the processes involved in the turnover of soil organic carbon (SOC) and to evaluate the role of management practic...

🆕 New publication in SOIL journal!
📖 A simple model of the turnover of organic carbon in a soil profile: model test, parameter identification and sensitivity

👥 Coucheney et al.

🔗 soil.copernicus.org/articles/11/...

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Aeration and mineral composition of soil mediate microbial CUE Abstract. In ecosystem studies, microbial carbon use efficiency (CUE) is often used to estimate the proportion of organic substrate (glucose) consumed by microbial biomass that is not released from so...

🆕 New publication in SOIL journal!
📖 Aeration and mineral composition of soil mediate microbial CUE

👥 Niedźwiecka et al.

🔗 soil.copernicus.org/articles/11/...

#SoilScience #SoilJournal #Research #OpenAccess #EGU_SSS