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      Evidence of different climatic adaptation strategies in humans and non-human primates

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          Abstract

          To understand human evolution it is critical to clarify which adaptations enabled our colonisation of novel ecological niches. For any species climate is a fundamental source of environmental stress during range expansion. Mammalian climatic adaptations include changes in size and shape reflected in skeletal dimensions and humans fit general primate ecogeographic patterns. It remains unclear however, whether there are also comparable amounts of adaptation in humans, which has implications for understanding the relative importance of biological/behavioural mechanisms in human evolution. We compare cranial variation between prehistoric human populations from throughout Japan and ecologically comparable groups of macaques. We compare amounts of intraspecific variation and covariation between cranial shape and ecological variables. Given equal rates and sufficient time for adaptation for both groups, human conservation of non-human primate adaptation should result in comparable variation and patterns of covariation in both species. In fact, we find similar amounts of intraspecific variation in both species, but no covariation between shape and climate in humans, contrasting with strong covariation in macaques. The lack of covariation in humans may suggest a disconnect in climatic adaptation strategies from other primates. We suggest this is due to the importance of human behavioural adaptations, which act as a buffer from climatic stress and were likely key to our evolutionary success.

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          Was Agriculture Impossible during the Pleistocene but Mandatory during the Holocene? A Climate Change Hypothesis

          Several independent trajectories of subsistence intensification, often leading to agriculture, began during the Holocene. No plant-rich intensifications are known from the Pleistocene, even from the late Pleistocene when human populations were otherwise quite sophisticated. Recent data from ice and ocean-core climate proxies show that last glacial climates were extremely hostile to agriculture—dry, low in atmospheric CO2, and extremely variable on quite short time scales. We hypothesize that agriculture was impossible under last-glacial conditions. The quite abrupt final amelioration of the climate was followed immediately by the beginnings of plant-intensive resource-use strategies in some areas, although the turn to plants was much later elsewhere. Almost all trajectories of subsistence intensification in the Holocene are progressive, and eventually agriculture became the dominant strategy in all but marginal environments. We hypothesize that, in the Holocene, agriculture was, in the long run, compulsory. We use a mathematical analysis to argue that the rate-limiting process for intensification trajectories must generally be the rate of innovation of subsistence technology or subsistence-related social organization. At the observed rates of innovation, population growth will always be rapid enough to sustain a high level of population pressure. Several processes appear to retard rates of cultural evolution below the maxima we observe in the most favorable cases.
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            Human cranial anatomy and the differential preservation of population history and climate signatures.

            Cranial morphology is widely used to reconstruct evolutionary relationships, but its reliability in reflecting phylogeny and population history has been questioned. Some cranial regions, particularly the face and neurocranium, are believed to be influenced by the environment and prone to convergence. Others, such as the temporal bone, are thought to reflect more accurately phylogenetic relationships. Direct testing of these hypotheses was not possible until the advent of large genetic data sets. The few relevant studies in human populations have had intriguing but possibly conflicting results, probably partly due to methodological differences and to the small numbers of populations used. Here we use three-dimensional (3D) geometric morphometrics methods to test explicitly the ability of cranial shape, size, and relative position/orientation of cranial regions to track population history and climate. Morphological distances among 13 recent human populations were calculated from four 3D landmark data sets, respectively reflecting facial, neurocranial, and temporal bone shape; shape and relative position; overall cranial shape; and centroid sizes. These distances were compared to neutral genetic and climatic distances among the same, or closely matched, populations. Results indicate that neurocranial and temporal bone shape track neutral genetic distances, while facial shape reflects climate; centroid size shows a weak association with climatic variables; and relative position/orientation of cranial regions does not appear correlated with any of these factors. Because different cranial regions preserve population history and climate signatures differentially, caution is suggested when using cranial anatomy for phylogenetic reconstruction. Copyright (c) 2006 Wiley-Liss, Inc.
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              Evaluating modularity in morphometric data: challenges with the RV coefficient and a new test measure

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                Author and article information

                Contributors
                lbuck@ucdavis.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                30 July 2019
                30 July 2019
                2019
                : 9
                : 11025
                Affiliations
                [1 ]ISNI 0000000121885934, GRID grid.5335.0, PAVE research group, Department of Archaeology, , University of Cambridge, Pembroke Street, ; Cambridge, CB2 3QG UK
                [2 ]ISNI 0000 0001 2270 9879, GRID grid.35937.3b, Human Origins Research Group, Department of Earth Sciences, , Natural History Museum, ; Cromwell Road, London SW7 5BD UK
                [3 ]ISNI 0000 0004 1936 9684, GRID grid.27860.3b, Department of Anthropology, , University of California Davis, ; 1 Shields Avenue, Davis, 95616 CA USA
                [4 ]ISNI 0000 0004 0368 0654, GRID grid.4425.7, School of Natural Science and Psychology, , Liverpool John Moores University, James Parsons Building, Byrom Street, ; Liverpool, L3 3AF UK
                [5 ]ISNI 0000 0004 0372 2033, GRID grid.258799.8, Primate Research Institute, , Kyoto University, ; Inuyama, Aichi 484-8506 Japan
                [6 ]ISNI 0000000121901201, GRID grid.83440.3b, Institute of Archaeology, , University College London, 31-4 Gordon Square, ; London, WC1H 0PY UK
                [7 ]ISNI 0000 0004 1936 8884, GRID grid.39381.30, Department of Anthropology, , Western University, London, ; Ontario, N6A 3K7 Canada
                [8 ]ISNI 0000 0004 4914 1197, GRID grid.469873.7, Department of Archaeology, , Max Planck Institute for the Science of Human History, Kahlaische Strasse 10, ; D-07745 Jena, Germany
                Author information
                http://orcid.org/0000-0002-1768-9049
                http://orcid.org/0000-0002-9860-0180
                Article
                47202
                10.1038/s41598-019-47202-8
                6667491
                31363121
                635db1b7-b07e-4393-a922-808c9e84117d
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 March 2019
                : 5 July 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100011199, EC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: "Ideas" Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013));
                Award ID: ERC Grant Agreement n. 617627.
                Award ID: ERC Grant Agreement n. 617627
                Award ID: ERC Grant Agreement n. 617627
                Award ID: ERC Grant Agreement n. 617627.
                Award ID: ERC Grant Agreement n. 617627
                Award ID: ERC Grant Agreement n. 617627
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                evolutionary ecology,biological anthropology
                Uncategorized
                evolutionary ecology, biological anthropology

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