The DOI matches its Crossref record; 154 of the 154 references it cites were found in a registry or an index.
Factors That Influence Nitrous Oxide Emissions from Agricultural Soils as Well as Their Representation in Simulation Models: A Review
Open accessAbstract
Nitrous oxide (N2O) is a long-lived greenhouse gas that contributes to global warming. Emissions of N2O mainly stem from agricultural soils. This review highlights the principal factors from peer-reviewed literature affecting N2O emissions from agricultural soils, by grouping the factors into three categories: environmental, management and measurement. Within these categories, each impact factor is explained in detail and its influence on N2O emissions from the soil is summarized. It is also shown how each impact factor influences other impact factors. Process-based simulation models used for estimating N2O emissions are reviewed regarding their ability to consider the impact factors in simulating N2O. The model strengths and weaknesses in simulating N2O emissions from managed soils are summarized. Finally, three selected process-based simulation models (Daily Century (DAYCENT), DeNitrification-DeComposition (DNDC), and Soil and Water Assessment Tool (SWAT)) are discussed that are widely used to simulate N2O emissions from cropping systems. Their ability to simulate N2O emissions is evaluated by describing the model components that are relevant to N2O processes and their representation in the model.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1
Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.1998.tb05961.x · Cited by 7,945
2006 IPCC Guidelines for National Greenhouse Gas Inventories
Paustian, K. H., Ravindranath, N. H., & van Amstel, A. R. (2006) · Socio-Environmental Systems Modeling · Cited by 6,706
Soil and Water Assessment Tool Theoretical Documentation Version 2009
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., & Williams, J. T. (2011) · OakTrust (Texas A&M University Libraries) · Cited by 3,980
Nitrous oxide emissions from soils: how well do we understand the processes and their controls?
Butterbach-Bahl, K., Baggs, E. M., Dannenmann, M., Kiese, R., & Zechmeister-Boltenstern, S. (2013) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2013.0122 · Cited by 2,875
Carbon and Other Biogeochemical Cycles
(2014) · Climate Change 2013 – The Physical Science Basis · doi:10.1017/cbo9781107415324.015 · Cited by 1,944
Review of greenhouse gas emissions from crop production systems and fertilizer management effects
Snyder, C. S., Bruulsema, T. W., Jensen, T. L., & Fixen, P. E. (2009) · Agriculture, Ecosystems & Environment · doi:10.1016/j.agee.2009.04.021 · Cited by 1,531
Nitrogen losses from the soil/plant system: a review
Cameron, K. C., Di, H. J., & Moir, J. L. (2013) · Annals of Applied Biology · doi:10.1111/aab.12014 · Cited by 1,425
Bateman, E. J., & Baggs, E. M. (2005) · Biology and Fertility of Soils · doi:10.1007/s00374-005-0858-3 · Cited by 1,226
Greenhouse gas emissions from soils—A review
Oertel, C., Matschullat, J., Zurba, K., Zimmermann, F., & Erasmi, S. (2016) · Geochemistry · doi:10.1016/j.chemer.2016.04.002 · Cited by 1,226
Stehfest, E., & Bouwman, L. (2006) · Nutrient Cycling in Agroecosystems · doi:10.1007/s10705-006-9000-7 · Cited by 991
Cited by
Farooq, M. S., Uzair, M., Raza, A., Habib, M., Xu, Y., Yousuf, M., Yang, S. H., & Ramzan Khan, M. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2022.927535 · Cited by 267
Metadata
- Authors
- Wang, C., Amon, B., Schulz, K., & Mehdi, B.
- Venue
- Agronomy
- Publisher
- MDPI AG
- Published
- 2021-04-14
- Volume
- 11
- Issue
- 4
- Pages
- 770
- ISSN
- 2073-4395 (ISSN-L)
- OpenAlex
- W3155718428
- Cited by
- 283
- References
- 154
- FWCI
- 25.24
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Factors That Influence Nitrous Oxide Emissions from Agricultural Soils as Well as Their Representation in Simulation Models: A Review. https://app.cochat.ai/papers/10.3390/agronomy11040770
- The paper
- Wang, C., Amon, B., Schulz, K., & Mehdi, B. (2021). Factors That Influence Nitrous Oxide Emissions from Agricultural Soils as Well as Their Representation in Simulation Models: A Review. Agronomy. https://doi.org/10.3390/agronomy11040770
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
