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      Exploring Railroad Impacts on Meat Trade: An Isotopic Investigation of Meat Sourcing and Animal Husbandry at Chinese Diaspora Sites in the American West

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          Preparation and characterization of bone and tooth collagen for isotopic analysis

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            Influence of diet on the distribution of carbon isotopes in animals

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              Carbon isotope compositions of terrestrial C3 plants as indicators of (paleo)ecology and (paleo)climate.

              A broad compilation of modern carbon isotope compositions in all C3 plant types shows a monotonic increase in δ(13)C with decreasing mean annual precipitation (MAP) that differs from previous models. Corrections for temperature, altitude, or latitude are smaller than previously estimated. As corrected for altitude, latitude, and the δ(13)C of atmospheric CO(2), these data permit refined interpretation of MAP, paleodiet, and paleoecology of ecosystems dominated by C3 plants, either prior to 7-8 million years ago (Ma), or more recently at mid- to high latitudes. Twenty-nine published paleontological studies suggest preservational or scientific bias toward dry ecosystems, although wet ecosystems are also represented. Unambiguous isotopic evidence for C4 plants is lacking prior to 7-8 Ma, and hominid ecosystems at 4.4 Ma show no isotopic evidence for dense forests. Consideration of global plant biomass indicates that average δ(13)C of C3 plants is commonly overestimated by approximately 2‰.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                International Journal of Historical Archaeology
                Int J Histor Archaeol
                Springer Science and Business Media LLC
                1092-7697
                1573-7748
                June 2023
                May 11 2022
                June 2023
                : 27
                : 2
                : 393-423
                Article
                10.1007/s10761-022-00663-6
                24284dde-fe47-44d7-9ead-04e3242ba7ef
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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