The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Global ecosystem thresholds driven by aridity
Open accessAbstract
Thresholds of aridity: Increasing aridity due to climate change is expected to affect multiple ecosystem structural and functional attributes in global drylands, which cover ∼45% of the terrestrial globe. Berdugo et al. show that increasing aridity promotes thresholds on the structure and functioning of drylands (see the Perspective by Hirota and Oliveira). Their database includes 20 variables summarizing multiple aspects and levels of ecological organization. They found evidence for a series of abrupt ecological events occurring sequentially in three phases, culminating with a shift to low-cover ecosystems that are nutrient- and species-poor at high aridity values. They estimate that more than 20% of land surface will cross at least one of the thresholds by 2100, which can potentially lead to widespread land degradation and desertification worldwide. Science , this issue p. 787 ; see also p. 739
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
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
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
Lavorel, S., & Garnier, E. (2002) · Functional Ecology · doi:10.1046/j.1365-2435.2002.00664.x · Cited by 3,452
Transitions in bacterial communities along the 2000 km salinity gradient of the Baltic Sea
Herlemann, D. P. R., Labrenz, M., Jürgens, K., Bertilsson, S., Waniek, J. J., & Andersson, A. F. (2011) · The ISME Journal · doi:10.1038/ismej.2011.41 · Cited by 2,885
Microbial diversity drives multifunctionality in terrestrial ecosystems
Delgado-Baquerizo, M., Maestre, F. T., Reich, P. B., Jeffries, T. C., Gaitan, J. J., Encinar, D., Berdugo, M., Campbell, C. D., & Singh, B. K. (2016) · Nature Communications · doi:10.1038/ncomms10541 · Cited by 2,624
Self-citationPlant Species Richness and Ecosystem Multifunctionality in Global Drylands
Maestre, F. T., Quero, J. L., Gotelli, N. J., Escudero, A., Ochoa, V., Delgado-Baquerizo, M., García-Gómez, M., Bowker, M. A., Soliveres, S., Escolar, C., et al. (2012) · Science · doi:10.1126/science.1215442 · Cited by 1,730
Self-citationChallenges of Big Data analysis
Fan, J., Han, F., & Liu, H. (2014) · National Science Review · doi:10.1093/nsr/nwt032 · Cited by 1,482
Drylands extent and environmental issues. A global approach
Prăvălie, R. (2016) · Earth-Science Reviews · doi:10.1016/j.earscirev.2016.08.003 · Cited by 816
Positive feedbacks promote power-law clustering of Kalahari vegetation.
Scanlon, T. M., Caylor, K. K., Levin, S. A., & Rodriguez-Iturbe, I. (2007) · Nature · doi:10.1038/nature06060 · Cited by 404
Analysis of stable states in global savannas: is the CART pulling the horse? – a comment
Staver, A. C., & Hansen, M. C. (2015) · Global Ecology and Biogeography · doi:10.1111/geb.12285 · Cited by 61
Cited by
Biogeography of global drylands
Maestre, F. T., Benito, B. M., Berdugo, M., Concostrina‐Zubiri, L., Delgado‐Baquerizo, M., Eldridge, D. J., Guirado, E., Gross, N., Kéfi, S., Le Bagousse‐Pinguet, Y., et al. (2021) · New Phytologist · doi:10.1111/nph.17395 · Cited by 394
Self-citationA 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
Exploring the multiple land degradation pathways across the planet
Prăvălie, R. (2021) · Earth-Science Reviews · doi:10.1016/j.earscirev.2021.103689 · Cited by 322
Liu, L., Sayer, E. J., Deng, M., Li, P., Liu, W., Wang, X., Yang, S., Huang, J., Luo, J., Su, Y., et al. (2023) · Fundamental Research · doi:10.1016/j.fmre.2022.09.028 · Cited by 142
(2024) · doi:10.1038/s44221-024-00208-7 · Cited by 77
Metadata
- Authors
- Berdugo, M., Delgado-Baquerizo, M., Soliveres, S., Hernández-Clemente, R., Zhao, Y., Gaitán, J. J., Gross, N., Saiz, H., Maire, V., Lehmann, A., Rillig, M. C., Solé, R. V., & Maestre, F. T.
- Venue
- Science
- Published
- 2020-02-14
- Volume
- 367
- Issue
- 6479
- Pages
- 787-790
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3005995736
- Cited by
- 1,231
- References
- 10
- FWCI
- 44.46
- Type
- journal article
- Language
- en
- Open access
- green
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: Global ecosystem thresholds driven by aridity. https://app.cochat.ai/papers/10.1126/science.aay5958
- The paper
- Berdugo, M., Delgado-Baquerizo, M., Soliveres, S., Hernández-Clemente, R., Zhao, Y., Gaitán, J. J., Gross, N., Saiz, H., Maire, V., Lehmann, A., Rillig, M. C., Solé, R. V., & Maestre, F. T. (2020). Global ecosystem thresholds driven by aridity. Science. https://doi.org/10.1126/science.aay5958
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.
