Estimating the soil respiration under different land uses using artificial neural network and linear regression models
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AI-based predictions help environmentalists plan and carry out their work more effectively.
“This helps environmentalists plan and carry out their work more effectively [101,115].”
From Harnessing bacterial consortia for effective bioremediation: targeted removal of heavy metals, hydrocarbons, and persistent pollutants (2025) · cites this paper as [101]
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Qattan, S. Y. A. (2025) · Environmental Sciences Europe · doi:10.1186/s12302-025-01103-y · Cited by 109 · see citing works
- Authors
- Ebrahimi, M., Sarikhani, M. R., Safari Sinegani, A. A., Ahmadi, A., & Keesstra, S.
- Affiliations
- Bu-Ali Sina University (IR)
- University of Tabriz (IR)
- University of Newcastle Australia (AU)
- Corresponding author
- Sarikhani, Mohammad Reza
- Venue
- CATENA
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 174
- Pages
- 371-382
- ISSN
- 0341-8162 (ISSN-L)
- OpenAlex
- W2902632444
- Cited by
- 75
- References
- 0
- Citations by year
- 2026: 4 · 2025: 20 · 2024: 10 · 2023: 9 · 2022: 13 · 2021: 8 · 2020: 6 · 2019: 5
- FWCI
- 4.26
- Type
- journal article
- Language
- en
- Open access
- green
- research.wur.nl
- Locations
- CATENA (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- NOVA (University of Newcastle Australia) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Bu-Ali Sina University
- Iran National Science Foundation
- University of Tabriz
- Topics
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
- Physical Sciences › Environmental Science › Environmental Engineering › Soil Geostatistics and Mapping
- Physical Sciences › Engineering › Civil and Structural Engineering › Soil and Unsaturated Flow
- Keywords
- soil respiration, basal respiration, substrate-induced respiration, land use, artificial neural networks, linear regression, soil organic carbon, extractable organic carbon, soil microbial activity, arid soils, soil carbon flux, soil texture, annual precipitation, mean annual temperature, semi-arid climate, humid subtropical climate
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