The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
An assessment of the global impact of 21st century land use change on soil erosion
Open accessAbstract
Human activity and related land use change are the primary cause of accelerated soil erosion, which has substantial implications for nutrient and carbon cycling, land productivity and in turn, worldwide socio-economic conditions. Here we present an unprecedentedly high resolution (250 × 250 m) global potential soil erosion model, using a combination of remote sensing, GIS modelling and census data. We challenge the previous annual soil erosion reference values as our estimate, of 35.9 Pg yr−1 of soil eroded in 2012, is at least two times lower. Moreover, we estimate the spatial and temporal effects of land use change between 2001 and 2012 and the potential offset of the global application of conservation practices. Our findings indicate a potential overall increase in global soil erosion driven by cropland expansion. The greatest increases are predicted to occur in Sub-Saharan Africa, South America and Southeast Asia. The least developed economies have been found to experience the highest estimates of soil erosion rates.
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
High-Resolution Global Maps of 21st-Century Forest Cover Change
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., et al. (2013) · Science · doi:10.1126/science.1244693 · Cited by 11,704
Solutions for a cultivated planet
Foley, J. A., Ramankutty, N., Brauman, K. A., Cassidy, E. S., Gerber, J. S., Johnston, M., Mueller, N. D., O’Connell, C., Ray, D. K., West, P. C., et al. (2011) · Nature · doi:10.1038/nature10452 · Cited by 8,476
Monfreda, C., Ramankutty, N., & Foley, J. A. (2008) · Global Biogeochemical Cycles · doi:10.1029/2007gb002947 · Cited by 1,895
SoilGrids1km — Global Soil Information Based on Automated Mapping
Hengl, T., de Jesus, J. M., MacMillan, R. A., Batjes, N. H., Heuvelink, G. B. M., Ribeiro, E., Samuel-Rosa, A., Kempen, B., Leenaars, J. G. B., Walsh, M. G., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0105992 · Cited by 1,268
Environment: The disappearing nutrient
Gilbert, N. (2009) · Nature · doi:10.1038/461716a · Cited by 817
Cited by
Mapping the world’s free-flowing rivers
Grill, G., Lehner, B., Thieme, M., Geenen, B., Tickner, D., Antonelli, F., Babu, S., Borrelli, P., Cheng, L., Crochetiere, H., et al. (2019) · Nature · doi:10.1038/s41586-019-1111-9 · Cited by 2,473
Self-citationMetal contamination and bioremediation of agricultural soils for food safety and sustainability
Hou, D., O’Connor, D., Igalavithana, A. D., Alessi, D. S., Luo, J., Tsang, D. C. W., Sparks, D. L., Yamauchi, Y., Rinklebe, J., & Ok, Y. S. (2020) · Nature Reviews Earth & Environment · doi:10.1038/s43017-020-0061-y · Cited by 1,200
A planetary boundary for green water
Wang-Erlandsson, L., Tobian, A., van der Ent, R. J., Fetzer, I., te Wierik, S., Porkka, M., Staal, A., Jaramillo, F., Dahlmann, H., Singh, C., et al. (2022) · Nature Reviews Earth & Environment · doi:10.1038/s43017-022-00287-8 · Cited by 366
Dryland changes under different levels of global warming
Koutroulis, A. G. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.11.215 · Cited by 294
Climate change, drought, land degradation and migration: exploring the linkages
Hermans, K., & McLeman, R. (2021) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2021.04.013 · Cited by 242
Metadata
- Authors
- Borrelli, P., Robinson, D. A., Fleischer, L. R., Lugato, E., Ballabio, C., Alewell, C., Meusburger, K., Modugno, S., Schütt, B., Ferro, V., Bagarello, V., Oost, K. V., Montanarella, L., & Panagos, P.
- Venue
- Nature Communications
- Published
- 2017-12-08
- Volume
- 8
- Issue
- 1
- Pages
- 2013-2013
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2772366318
- Cited by
- 2,779
- References
- 5
- FWCI
- 127.91
- 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
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.