The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Sensitivity of global terrestrial ecosystems to climate variability
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Citations
Cites
Very high resolution interpolated climate surfaces for global land areas
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvis, A. (2005) · International Journal of Climatology · doi:10.1002/joc.1276 · Cited by 19,825
Resilience and Stability of Ecological Systems
Holling, C. S. (1973) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.04.110173.000245 · Cited by 18,995
Overview of the radiometric and biophysical performance of the MODIS vegetation indices
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., & Ferreira, L. G. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00096-2 · Cited by 9,869
Extinction risk from climate change
Thomas, C. D., Cameron, A., Green, R. E., Bakkenes, M., Beaumont, L. J., Collingham, Y. C., Erasmus, B. F. N., de Siqueira, M. F., Grainger, A., Hannah, L., et al. (2004) · Nature · doi:10.1038/nature02121 · Cited by 7,695
Early-warning signals for critical transitions
Scheffer, M., Bascompte, J., Brock, W. A., Brovkin, V., Carpenter, S. R., Dakos, V., Held, H., van Nes, E. H., Rietkerk, M., & Sugihara, G. (2009) · Nature · doi:10.1038/nature08227 · Cited by 4,854
Tipping elements in the Earth’s climate system
Lenton, T. M., Held, H., Kriegler, E., Hall, J. W., Lucht, W., Rahmstorf, S., & Schellnhuber, H. J. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705414105 · Cited by 3,982
Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999
Nemani, R. R., Keeling, C. D., Hashimoto, H., Jolly, W. M., Piper, S. C., Tucker, C. J., Myneni, R. B., & Running, S. W. (2003) · Science · doi:10.1126/science.1082750 · Cited by 3,671
Multivariable geostatistics in S: the gstat package
Pebesma, E. J. (2004) · Computers & Geosciences · doi:10.1016/j.cageo.2004.03.012 · Cited by 3,000
Improvements to a MODIS global terrestrial evapotranspiration algorithm
Mu, Q., Zhao, M., & Running, S. W. (2011) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.02.019 · Cited by 2,816
Cited by
Hu, X., & Xu, H. (2018) · Ecological Indicators · doi:10.1016/j.ecolind.2018.02.006 · Cited by 533
Climate models predict increasing temperature variability in poor countries
Bathiany, S., Dakos, V., Scheffer, M., & Lenton, T. M. (2018) · Science Advances · doi:10.1126/sciadv.aar5809 · Cited by 479
Biodiversity and ecosystem functioning relations in European forests depend on environmental context
Ratcliffe, S., Wirth, C., Jucker, T., van der Plas, F., Scherer‐Lorenzen, M., Verheyen, K., Allan, E., Benavides, R., Bruelheide, H., Ohse, B., et al. (2017) · Ecology Letters · doi:10.1111/ele.12849 · Cited by 389
Empirical evidence for recent global shifts in vegetation resilience
Smith, T., Traxl, D., & Boers, N. (2022) · Nature Climate Change · doi:10.1038/s41558-022-01352-2 · Cited by 298
Shifts in vegetation activity of terrestrial ecosystems attributable to climate trends
Higgins, S. I., Conradi, T., & Muhoko, E. (2023) · Nature Geoscience · doi:10.1038/s41561-022-01114-x · Cited by 259
Metadata
- Authors
- Seddon, A. W. R., Macias-Fauria, M., Long, P. R., Benz, D., & Willis, K. J.
- Venue
- Nature
- Published
- 2016-02-17
- Volume
- 531
- Issue
- 7593
- Pages
- 229-232
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2283727311
- Cited by
- 1,373
- References
- 30
- FWCI
- 78.65
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Sensitivity of global terrestrial ecosystems to climate variability. https://app.cochat.ai/papers/10.1038/nature16986
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- Seddon, A. W. R., Macias-Fauria, M., Long, P. R., Benz, D., & Willis, K. J. (2016). Sensitivity of global terrestrial ecosystems to climate variability. Nature. https://doi.org/10.1038/nature16986
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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.
