Works matching IS 21993971 AND DT 2019 AND VI 5 AND IP 1
Results: 9
On-farm study reveals positive relationship between gas transport capacity and organic carbon content in arable soil.
- Published in:
- SOIL, 2019, v. 5, n. 1, p. 91, doi. 10.5194/soil-5-91-2019
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- Article
Using deep learning for digital soil mapping.
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- SOIL, 2019, v. 5, n. 1, p. 79, doi. 10.5194/soil-5-79-2019
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- Article
Assessing the impact of acid rain and forest harvest intensity with the HD-MINTEQ model – soil chemistry of three Swedish conifer sites from 1880 to 2080.
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- SOIL, 2019, v. 5, n. 1, p. 63, doi. 10.5194/soil-5-63-2019
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- Article
Application of a laser-based spectrometer for continuous in situ measurements of stable isotopes of soil CO2 in calcareous and acidic soils.
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- SOIL, 2019, v. 5, n. 1, p. 49, doi. 10.5194/soil-5-49-2019
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- Article
Dynamic modelling of weathering rates – the benefit over steady-state modelling.
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- SOIL, 2019, v. 5, n. 1, p. 33, doi. 10.5194/soil-5-33-2019
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- Article
Global meta-analysis of the relationship between soil organic matter and crop yields.
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- SOIL, 2019, v. 5, n. 1, p. 15, doi. 10.5194/soil-5-15-2019
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- Article
Microbial community responses determine how soil–atmosphere exchange of carbonyl sulfide, carbon monoxide, and nitric oxide responds to soil moisture.
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- SOIL, 2019, v. 5, n. 1, p. 121, doi. 10.5194/soil-5-121-2019
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- Article
Refining physical aspects of soil quality and soil health when exploring the effects of soil degradation and climate change on biomass production: an Italian case study.
- Published in:
- SOIL, 2019, v. 5, n. 1, p. 1, doi. 10.5194/soil-5-1-2019
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- Article
Multi-source data integration for soil mapping using deep learning.
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- SOIL, 2019, v. 5, n. 1, p. 107, doi. 10.5194/soil-5-107-2019
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- Article