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      Diet of the prehistoric population of Rapa Nui (Easter Island, Chile) shows environmental adaptation and resilience

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          Abstract

          Objectives

          The Rapa Nui “ecocide” narrative questions whether the prehistoric population caused an avoidable ecological disaster through rapid deforestation and over‐exploitation of natural resources. The objective of this study was to characterize prehistoric human diets to shed light on human adaptability and land use in an island environment with limited resources.

          Materials and methods

          Materials for this study included human, faunal, and botanical remains from the archaeological sites Anakena and Ahu Tepeu on Rapa Nui, dating from c. 1400 AD to the historic period, and modern reference material. We used bulk carbon and nitrogen isotope analyses and amino acid compound specific isotope analyses (AA‐CSIA) of collagen isolated from prehistoric human and faunal bone, to assess the use of marine versus terrestrial resources and to investigate the underlying baseline values. Similar isotope analyses of archaeological and modern botanical and marine samples were used to characterize the local environment.

          Results

          Results of carbon and nitrogen AA‐CSIA independently show that around half the protein in diets from the humans measured came from marine sources; markedly higher than previous estimates. We also observed higher δ 15N values in human collagen than could be expected from the local environment.

          Discussion

          Our results suggest highly elevated δ 15N values could only have come from consumption of crops grown in substantially manipulated soils. These findings strongly suggest that the prehistoric population adapted and exhibited astute environmental awareness in a harsh environment with nutrient poor soils. Our results also have implications for evaluating marine reservoir corrections of radiocarbon dates.

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          Most cited references89

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          C 4 photosynthesis, atmospheric CO 2 , and climate

          The objectives of this synthesis are (1) to review the factors that influence the ecological, geographical, and palaeoecological distributions of plants possessing C4 photosynthesis and (2) to propose a hypothesis/model to explain both the distribution of C4 plants with respect to temperature and CO2 and why C4 photosynthesis is relatively uncommon in dicotyledonous plants (hereafter dicots), especially in comparison with its widespread distribution in monocotyledonous species (hereafter monocots). Our goal is to stimulate discussion of the factors controlling distributions of C4 plants today, historically, and under future elevated CO2 environments. Understanding the distributions of C3/C4 plants impacts not only primary productivity, but also the distribution, evolution, and migration of both invertebrates and vertebrates that graze on these plants. Sixteen separate studies all indicate that the current distributions of C4 monocots are tightly correlated with temperature: elevated temperatures during the growing season favor C4 monocots. In contrast, the seven studies on C4 dicot distributions suggest that a different environmental parameter, such as aridity (combination of temperature and evaporative potential), more closely describes their distributions. Differences in the temperature dependence of the quantum yield for CO2 uptake (light-use efficiency) of C3 and C4 species relate well to observed plant distributions and light-use efficiency is the only mechanism that has been proposed to explain distributional differences in C3/C4 monocots. Modeling of C3 and C4 light-use efficiencies under different combinations of atmospheric CO2 and temperature predicts that C4-dominated ecosystems should not have expanded until atmospheric CO2 concentrations reached the lower levels that are thought to have existed beginning near the end of the Miocene. At that time, palaeocarbonate and fossil data indicate a simultaneous, global expansion of C4-dominated grasslands. The C4 monocots generally have a higher quantum yield than C4 dicots and it is proposed that leaf venation patterns play a role in increasing the light-use efficiency of most C4 monocots. The reduced quantum yield of most C4 dicots is consistent with their rarity, and it is suggested that C4 dicots may not have been selected until CO2 concentrations reached their lowest levels during glacial maxima in the Quaternary. Given the intrinsic light-use efficiency advantage of C4 monocots, C4 dicots may have been limited in their distributions to the warmest ecosystems, saline ecosystems, and/or to highly disturbed ecosystems. All C4 plants have a significant advantage over C3 plants under low atmospheric CO2 conditions and are predicted to have expanded significantly on a global scale during full-glacial periods, especially in tropical regions. Bog and lake sediment cores as well as pedogenic carbonates support the hypothesis that C4 ecosystems were more extensive during the last glacial maximum and then decreased in abundance following deglaciation as atmospheric CO2 levels increased.
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            Uncertainty in source partitioning using stable isotopes.

            Stable isotope analyses are often used to quantify the contribution of multiple sources to a mixture, such as proportions of food sources in an animal's diet, or C3 and C4 plant inputs to soil organic carbon. Linear mixing models can be used to partition two sources with a single isotopic signature (e.g., δ(13)C) or three sources with a second isotopic signature (e.g., δ(15)N). Although variability of source and mixture signatures is often reported, confidence interval calculations for source proportions typically use only the mixture variability. We provide examples showing that omission of source variability can lead to underestimation of the variability of source proportion estimates. For both two- and three-source mixing models, we present formulas for calculating variances, standard errors (SE), and confidence intervals for source proportion estimates that account for the observed variability in the isotopic signatures for the sources as well as the mixture. We then performed sensitivity analyses to assess the relative importance of: (1) the isotopic signature difference between the sources, (2) isotopic signature standard deviations (SD) in the source and mixture populations, (3) sample size, (4) analytical SD, and (5) the evenness of the source proportions, for determining the variability (SE) of source proportion estimates. The proportion SEs varied inversely with the signature difference between sources, so doubling the source difference from 2‰ to 4‰ reduced the SEs by half. Source and mixture signature SDs had a substantial linear effect on source proportion SEs. However, the population variability of the sources and the mixture are fixed and the sampling error component can be changed only by increasing sample size. Source proportion SEs varied inversely with the square root of sample size, so an increase from 1 to 4 samples per population cut the SE in half. Analytical SD had little effect over the range examined since it was generally substantially smaller than the population SDs. Proportion SEs were minimized when sources were evenly divided, but increased only slightly as the proportions varied. The variance formulas provided will enable quantification of the precision of source proportion estimates. Graphs are provided to allow rapid assessment of possible combinations of source differences and source and mixture population SDs that will allow source proportion estimates with desired precision. In addition, an Excel spreadsheet to perform the calculations for the source proportions and their variances, SEs, and 95% confidence intervals for the two-source and three-source mixing models can be accessed at http://www.epa.gov/wed/pages/models.htm.
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              TROPHIC RELATIONSHIPS AND THE NITROGEN ISOTOPIC COMPOSITION OF AMINO ACIDS IN PLANKTON

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                Author and article information

                Contributors
                cat.jarman@bristol.ac.uk
                Journal
                Am J Phys Anthropol
                Am. J. Phys. Anthropol
                10.1002/(ISSN)1096-8644
                AJPA
                American Journal of Physical Anthropology
                John Wiley and Sons Inc. (Hoboken )
                0002-9483
                1096-8644
                30 June 2017
                October 2017
                : 164
                : 2 ( doiID: 10.1002/ajpa.v164.2 )
                : 343-361
                Affiliations
                [ 1 ] Department of Archaeology and Anthropology University of Bristol Bristol BS8 1UU Great Britain
                [ 2 ] Leibniz‐Laboratory for Isotope Research, Christian‐Albrechts‐Universität Kiel 24118 Germany
                [ 3 ] Clark Honors College and Department of Anthropology 1293 University of Oregon Eugene Oregon 97403‐1293
                [ 4 ] Environmental Studies Program and Department of Anthropology Binghamton University Binghamton New York 13902
                [ 5 ] Kon‐Tiki Museum Oslo 0286 Norway
                [ 6 ] Department of Geology & Geophysics University of Hawai'i Honolulu Hawaii 96822
                [ 7 ]Present address: Marine Biology, University of Hawai'I Kane‘ohe HI 96744
                [ 8 ]Present address: Department of Ocean Sciences Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway Miami FL 33149
                Author notes
                [*] [* ] Correspondence Catrine L. Jarman, Department of Archaeology and Anthropology, University of Bristol, Bristol, BS8 1UU, Great Britain. Email: cat.jarman@ 123456bristol.ac.uk
                Author information
                http://orcid.org/0000-0003-0418-4241
                http://orcid.org/0000-0002-0311-9707
                http://orcid.org/0000-0001-7021-5478
                Article
                AJPA23273
                10.1002/ajpa.23273
                5637906
                28664976
                a23e38ad-bea3-45b7-a2ad-2fe08d7b023e
                © 2017 Wiley Periodicals, Inc.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 29 September 2016
                : 24 March 2017
                : 10 June 2017
                Page count
                Figures: 5, Tables: 4, Pages: 19, Words: 15804
                Funding
                Funded by: National Science Foundation
                Award ID: EF‐1137336
                Funded by: Arts and Humanities Research Council doctoral studentship
                Award ID: AH/K502947/1
                Funded by: Deutsche Forschungsgemeinschaft
                Funded by: The Future Ocean
                Funded by: Society of American Archaeology
                Funded by: 2015 Student Award donations included the 14C AMS
                Funded by: Kon‐Tiki Museum
                Funded by: Funding for analytical costs to CLJ
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                ajpa23273
                October 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.2.1 mode:remove_FC converted:12.10.2017

                Anthropology
                amino acids,compound specific isotope analysis,ecology,radiocarbon,stable isotopes
                Anthropology
                amino acids, compound specific isotope analysis, ecology, radiocarbon, stable isotopes

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