The DOI matches its Crossref record.
Using phytolith assemblages to reconstruct the origin and spread of grass-dominated habitats in the great plains of North America during the late Eocene to early Miocene
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“Several metrics have been derived to distinguish forest types in tropical systems, including the ratio of tree to grass phytoliths (D/P index, hereafter openness index) (Alexandre et al. 1997; Strömberg 2004; Dickau et al. 2013; Astudillo 2018; Testé et al. 2020; Crifò and Strömberg 2021), but these metrics have not been used to differentiate phytolith assemblages across various types of land use.”
From Phytolith assemblages reflect variability in human land use and the modern environment (2024) · cites this paper as Strömberg 2004
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Deciphering the distribution of the savanna biome
Lehmann, C. E. R., Archibald, S. A., Hoffmann, W. A., & Bond, W. J. (2011) · New Phytologist · doi:10.1111/j.1469-8137.2011.03689.x · Cited by 523
Strömberg, C. A. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0505700102 · Cited by 340
Phytolith assemblages reflect variability in human land use and the modern environment
Witteveen, N. H., White, C., Sanchez Martinez, B. A., Booij, R., Philip, A., Gosling, W. D., Bush, M. B., & McMichael, C. N. H. (2024) · Vegetation History and Archaeobotany · doi:10.1007/s00334-023-00932-2 · Cited by 20
Metadata
- Authors
- STROMBERG, C.
- Venue
- Palaeogeography, Palaeoclimatology, Palaeoecology
- Publisher
- Elsevier BV
- Published
- 2004-05
- Volume
- 207
- Issue
- 3-4
- Pages
- 239-275
- ISSN
- 0031-0182
- Cited by
- 300
- References
- 0
- Language
- en
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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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