Cited by 419

The DOI matches its Crossref record.

Millennial-Scale Dynamics of Southern Amazonian Rain Forests

Mayle, Francis E., Burbridge, Rachel, Killeen, Timothy J.·2000·Science

Abstract

Amazonian rain forest–savanna boundaries are highly sensitive to climatic change and may also play an important role in rain forest speciation. However, their dynamics over millennial time scales are poorly understood. Here, we present late Quaternary pollen records from the southern margin of Amazonia, which show that the humid evergreen rain forests of eastern Bolivia have been expanding southward over the past 3000 years and that their present-day limit represents the southernmost extent of Amazonian rain forest over at least the past 50,000 years. This rain forest expansion is attributed to increased seasonal latitudinal migration of the Intertropical Convergence Zone, which can in turn be explained by Milankovitch astronomic forcing.

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Crossref · 10.1126/science.290.5500.2291

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  • For the pre-Columbian Andes, the most recent major change in the ITCZ was a southward shift that occurred around 3000 years ago.

    “For the pre-Columbian Andes, the most recent major change in the ITCZ was a southward shift that occurred around 3000 yr ago (Mayle et al. 2000).”

    From Reconceiving the chronology of inca imperial expansion (2012) · cites this paper as Mayle et al. 2000

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Cites

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Research works printed but not linked: 24

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Metadata

Authors
Mayle, F. E., Burbridge, R., & Killeen, T. J.
Affiliations
  • Department of Geography, University of Leicester, Leicester LE1 7RH, UK.
  • Center for Applied Biodiversity Science, Conservation International, 2501 M Street, NW, Suite 200, Washington, DC 20037, USA.
Venue
Science
Published
2000-12-22
Volume
290
Issue
5500
Pages
2291-2294
ISSN
  • 0036-8075
  • 1095-9203
Cited by
419
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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