Machine learning models reveal how biochar amendment affects soil microbial communities
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Machine learning models reveal how biochar amendment affects soil microbial communities ; volume:5 ; number:1 ; day:13 ; month:12 ; year:2023 ; pages:1-15 ; date:12.2023
Biochar ; 5, Heft 1 (13.12.2023), 1-15, 12.2023
- Creator
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Lei, Chaotang
Lu, Tao
Qian, Haifeng
Liu, Yuxue
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s42773-023-00291-1
- URN
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urn:nbn:de:101:1-2024022810582309466013
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:54 AM CEST
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Associated
- Lei, Chaotang
- Lu, Tao
- Qian, Haifeng
- Liu, Yuxue
- SpringerLink (Online service)
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Biochar amendment for C sequestration in a temperate agroecosystem : implications for microbial C- and N-cycling
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Risk assessment of low-temperature biochar used as soil amendment on soil mesofauna
Effect of Biochar Amendment and Ageing on Adsorption and Degradation of Two Herbicides
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