Articles | Volume 10, issue 7
https://doi.org/10.5194/bg-10-4691-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-10-4691-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Jul 2013
Research article |
| 12 Jul 2013
Modelling soil bulk density at the landscape scale and its contributions to C stock uncertainty
K. P. Taalab
National Soil Resources Institute, Building 37, Cranfield University, Cranfield, Beds, MK430AL, UK
R. Corstanje
National Soil Resources Institute, Building 37, Cranfield University, Cranfield, Beds, MK430AL, UK
R. Creamer
Department of Environment, Soils and Land Use, Teagasc, Johnstown Castle, Wexford, Ireland
M. J. Whelan
Department of Geography, University of Leicester, LE1 7RH, UK
Viewed
Total article views: 4,442 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 19 Dec 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,216 | 1,984 | 242 | 4,442 | 105 | 90 |
- HTML: 2,216
- PDF: 1,984
- XML: 242
- Total: 4,442
- BibTeX: 105
- EndNote: 90
Total article views: 3,440 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jul 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,837 | 1,422 | 181 | 3,440 | 93 | 88 |
- HTML: 1,837
- PDF: 1,422
- XML: 181
- Total: 3,440
- BibTeX: 93
- EndNote: 88
Total article views: 1,002 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 19 Dec 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 379 | 562 | 61 | 1,002 | 12 | 2 |
- HTML: 379
- PDF: 562
- XML: 61
- Total: 1,002
- BibTeX: 12
- EndNote: 2
Cited
15 citations as recorded by crossref.
- The application of expert knowledge in Bayesian networks to predict soil bulk density at the landscape scale K. Taalab et al. 10.1111/ejss.12282
- Pedotransfer functions to estimate bulk density from soil properties and environmental covariates: Rio Doce basin E. Souza et al. 10.1590/0103-9016-2015-0485
- Relevance of carbon stocks of marine sediments for national greenhouse gas inventories of maritime nations S. Avelar et al. 10.1186/s13021-017-0077-x
- Mapping landslide susceptibility and types using Random Forest K. Taalab et al. 10.1080/20964471.2018.1472392
- Mapping high resolution National Soil Information Grids of China F. Liu et al. 10.1016/j.scib.2021.10.013
- Reviews and syntheses: Agropedogenesis – humankind as the sixth soil-forming factor and attractors of agricultural soil degradation Y. Kuzyakov & K. Zamanian 10.5194/bg-16-4783-2019
- Spatial modelling approach and accounting method affects soil carbon estimates and derived farm-scale carbon payments S. Beka et al. 10.1016/j.scitotenv.2022.154164
- Probing the basis of soil resilience R. Corstanje et al. 10.1111/sum.12107
- Modeling temporal patterns of methane effluxes using multiple regression and random forest in Poyang Lake, China L. Liu et al. 10.1007/s11273-017-9558-7
- Lithology and coarse fraction adjusted bulk density estimates for determining total organic carbon stocks in dryland soils N. Patton et al. 10.1016/j.geoderma.2018.10.036
- Soil Bulk Density Estimation Methods: A Review A. AL-SHAMMARY et al. 10.1016/S1002-0160(18)60034-7
- Scale-dependent variability of soil organic carbon coupled to land use and land cover X. Xiong et al. 10.1016/j.still.2016.03.001
- Soil Carbon Dynamics in Soybean Cropland and Forests in Mato Grosso, Brazil R. Nagy et al. 10.1002/2017JG004269
- On the application of Bayesian Networks in Digital Soil Mapping K. Taalab et al. 10.1016/j.geoderma.2015.05.014
- PEDO-TRANSFER FUNCTIONS FOR ESTIMATING SOIL BULK DENSITY IN CENTRAL AMAZONIA H. Barros & P. Fearnside 10.1590/01000683rbcs20140358
13 citations as recorded by crossref.
- The application of expert knowledge in Bayesian networks to predict soil bulk density at the landscape scale K. Taalab et al. 10.1111/ejss.12282
- Pedotransfer functions to estimate bulk density from soil properties and environmental covariates: Rio Doce basin E. Souza et al. 10.1590/0103-9016-2015-0485
- Relevance of carbon stocks of marine sediments for national greenhouse gas inventories of maritime nations S. Avelar et al. 10.1186/s13021-017-0077-x
- Mapping landslide susceptibility and types using Random Forest K. Taalab et al. 10.1080/20964471.2018.1472392
- Mapping high resolution National Soil Information Grids of China F. Liu et al. 10.1016/j.scib.2021.10.013
- Reviews and syntheses: Agropedogenesis – humankind as the sixth soil-forming factor and attractors of agricultural soil degradation Y. Kuzyakov & K. Zamanian 10.5194/bg-16-4783-2019
- Spatial modelling approach and accounting method affects soil carbon estimates and derived farm-scale carbon payments S. Beka et al. 10.1016/j.scitotenv.2022.154164
- Probing the basis of soil resilience R. Corstanje et al. 10.1111/sum.12107
- Modeling temporal patterns of methane effluxes using multiple regression and random forest in Poyang Lake, China L. Liu et al. 10.1007/s11273-017-9558-7
- Lithology and coarse fraction adjusted bulk density estimates for determining total organic carbon stocks in dryland soils N. Patton et al. 10.1016/j.geoderma.2018.10.036
- Soil Bulk Density Estimation Methods: A Review A. AL-SHAMMARY et al. 10.1016/S1002-0160(18)60034-7
- Scale-dependent variability of soil organic carbon coupled to land use and land cover X. Xiong et al. 10.1016/j.still.2016.03.001
- Soil Carbon Dynamics in Soybean Cropland and Forests in Mato Grosso, Brazil R. Nagy et al. 10.1002/2017JG004269
Saved (final revised paper)
Latest update: 06 Mar 2025
Altmetrics
Final-revised paper
Preprint