The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Mapping carbon accumulation potential from global natural forest regrowth
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
XGBoost: A Scalable Tree Boosting System
Chen, T., & Guestrin, C. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · doi:10.1145/2939672.2939785 · Cited by 54,569
The perceptron: A probabilistic model for information storage and organization in the brain.
Rosenblatt, F. (1958) · Psychological Review · doi:10.1037/h0042519 · Cited by 12,280
Terrestrial ecoregions of the world: a new map of life on Earth
Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., et al. (2001) · BioScience · doi:10.1641/0006-3568(2001)051[0933:teotwa]2.0.co;2 · Cited by 8,488
SoilGrids250m: Global gridded soil information based on machine learning
Hengl, T., Mendes de Jesus, J., Heuvelink, G. B. M., Ruiperez Gonzalez, M., Kilibarda, M., Blagotić, A., Shangguan, W., Wright, M. N., Geng, X., Bauer-Marschallinger, B., et al. (2017) · PLOS ONE · doi:10.1371/journal.pone.0169748 · Cited by 4,733
Paris Agreement climate proposals need a boost to keep warming well below 2 °C
Rogelj, J., den Elzen, M., Höhne, N., Fransen, T., Fekete, H., Winkler, H., Schaeffer, R., Sha, F., Riahi, K., & Meinshausen, M. (2016) · Nature · doi:10.1038/nature18307 · Cited by 3,637
The global tree restoration potential
Bastin, J.-F., Finegold, Y., Garcia, C., Mollicone, D., Rezende, M., Routh, D., Zohner, C. M., & Crowther, T. W. (2019) · Science · doi:10.1126/science.aax0848 · Cited by 2,197
Self-citationBiomass resilience of Neotropical secondary forests
Poorter, L., Bongers, F., Aide, T. M., Almeyda Zambrano, A. M., Balvanera, P., Becknell, J. M., Boukili, V., Brancalion, P. H. S., Broadbent, E. N., Chazdon, R. L., et al. (2016) · Nature · doi:10.1038/nature16512 · Cited by 1,210
Self-citationRestoring natural forests is the best way to remove atmospheric carbon
Lewis, S. L., Wheeler, C. E., Mitchard, E. T. A., & Koch, A. (2019) · Nature · doi:10.1038/d41586-019-01026-8 · Cited by 946
Self-citation
Cited by
Tolan, J., Yang, H.-I., Nosarzewski, B., Couairon, G., Vo, H. V., Brandt, J., Spore, J., Majumdar, S., Haziza, D., Vamaraju, J., et al. (2024) · Remote Sensing of Environment · doi:10.1016/j.rse.2023.113888 · Cited by 419
The global potential for increased storage of carbon on land
Walker, W. S., Gorelik, S. R., Cook-Patton, S. C., Baccini, A., Farina, M. K., Solvik, K. K., Ellis, P. W., Sanderman, J., Houghton, R. A., Leavitt, S. M., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2111312119 · Cited by 237
Self-citationIs tree planting an effective strategy for climate change mitigation?
Kirschbaum, M. U. F., Cowie, A. L., Peñuelas, J., Smith, P., Conant, R. T., Sage, R. F., Brandão, M., Cotrufo, M. F., Luo, Y., Way, D. A., et al. (2024) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.168479 · Cited by 53
Redefining “abandoned” agricultural land in the context of reforestation
Holl, K. D., Ashton, M. S., Bukoski, J. J., Culbertson, K. A., Curran, S. R., Harris, T. B., Potts, M. D., Valverde, Y. L., & Vincent, J. R. (2022) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2022.933887 · Cited by 22
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Metadata
- Authors
- Cook-Patton, S. C., Leavitt, S. M., Gibbs, D., Harris, N. L., Lister, K., Anderson-Teixeira, K. J., Briggs, R. D., Chazdon, R. L., Crowther, T. W., Ellis, P. W., Griscom, H. P., Herrmann, V., Holl, K. D., Houghton, R. A., Larrosa, C., Lomax, G., Lucas, R., Madsen, P., Malhi, Y., Paquette, A., Parker, J. D., Paul, K., Routh, D., Roxburgh, S., Saatchi, S., van den Hoogen, J., Walker, W. S., Wheeler, C. E., Wood, S. A., Xu, L., & Griscom, B. W.
- Venue
- Nature
- Published
- 2020-09-23
- Volume
- 585
- Issue
- 7826
- Pages
- 545-550
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3088138537
- Cited by
- 619
- References
- 14
- FWCI
- 46.00
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Mapping carbon accumulation potential from global natural forest regrowth. https://app.cochat.ai/papers/10.1038/s41586-020-2686-x
- The paper
- Cook-Patton, S. C., Leavitt, S. M., Gibbs, D., Harris, N. L., Lister, K., Anderson-Teixeira, K. J., Briggs, R. D., Chazdon, R. L., Crowther, T. W., Ellis, P. W., Griscom, H. P., Herrmann, V., Holl, K. D., Houghton, R. A., Larrosa, C., Lomax, G., Lucas, R., Madsen, P., Malhi, Y., . . . Griscom, B. W. (2020). Mapping carbon accumulation potential from global natural forest regrowth. Nature. https://doi.org/10.1038/s41586-020-2686-x
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.