2018
DOI: 10.31235/osf.io/7zw6x
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Widespread population decline in South America correlates with mid-Holocene climate change

Abstract: Quantifying the impacts of climate change on prehistoric demography is crucial for understanding the adaptive pathways taken by human populations. Archaeologists across South America have pointed to patterns of regional abandonment during the Middle Holocene (8200 to 4200 cal BP) as evidence of sensitivity to shifts in hydroclimate over this period. We develop a unified approach to investigate demography and climate in South America and aim to clarify the extent to which evidence of local anthropic responses c… Show more

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Cited by 6 publications
(13 citation statements)
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“…It is worth mentioning, however, that the graph without admixture in Los Rieles became statistically significant (|Z|<3) when Lagoa Santa was replaced with the younger Laranjal sample (Brazil, ∼6.8 kya) (Figure S37B). This confirms our f4 -statistics (Figure 6A) and the scenario of a widespread population turnover in South American during mid-Holocene, as previously suggested (Moreno-Mayar et al, 2018; Posth et al, 2018), a finding that also correlates with climate changes in the southern continent (Riris and Arroyo-Kalin, 2019). As for the Ancient Panamanians, they are a mix between the source of SNA2 (prior to Spirit Cave) and the admixture between SNA1 and SNA2 (Figure S37A).…”
Section: Supplementary Informationsupporting
confidence: 92%
See 1 more Smart Citation
“…It is worth mentioning, however, that the graph without admixture in Los Rieles became statistically significant (|Z|<3) when Lagoa Santa was replaced with the younger Laranjal sample (Brazil, ∼6.8 kya) (Figure S37B). This confirms our f4 -statistics (Figure 6A) and the scenario of a widespread population turnover in South American during mid-Holocene, as previously suggested (Moreno-Mayar et al, 2018; Posth et al, 2018), a finding that also correlates with climate changes in the southern continent (Riris and Arroyo-Kalin, 2019). As for the Ancient Panamanians, they are a mix between the source of SNA2 (prior to Spirit Cave) and the admixture between SNA1 and SNA2 (Figure S37A).…”
Section: Supplementary Informationsupporting
confidence: 92%
“…The Pacific coast populations (Los Rieles, Chile, ∼10.9 kya, Figure S26) exhibit greater affinity to Spirit Cave, while the ancient genomes from the Atlantic side show the same pattern as Anzick-1 when considering individuals older than ∼7 kya (Lagoa Santa, Brazil, ∼10.4 kya, Figure S27). These distinctive signals persisted up to about 7 kya, when they were probably erased by a major population turnover in South America (Moreno-Mayar et al, 2018; Posth et al, 2018), facilitated by a widespread population decline due to mid-Holocene climate changes (Riris and Arroyo-Kalin, 2019).…”
Section: Resultsmentioning
confidence: 99%
“…Nevertheless, while human driven demographic changes are likely to have driven some of the changes observed in this data, the effect of environmental changes cannot be ignored, in particular during the middle Holocene climatic optimum (~8.2 kyr BP -4.2 kyr BP). This time span is marked by a period of strong hydroclimate shifts that led to the aridization of the Andes as rainfalls became more stochastic and temperatures increased (Riris & Arroyo-Kalin, 2019). Such aridification is likely to have changed the habitable range for the vicuña further exacerbating the demographic pressure that it was already experiencing.…”
Section: Loss Of Genetic Variationmentioning
confidence: 99%
“…To facilitate a broad understanding of the structure of this dataset, we visualise the calibrated dates employing two complementary techniques: Summed Calibrated Probability Distributions (SPDs) and Composite Kernel Density Estimates (CKDEs). In the case of the former (Figure 1b, Figure 2a), and in order to examine expectations derived from prior research [20,27,28], we attempted to fit our SPD time-series to exponential (reflecting population growth with unlimited resources) and logistic (reflecting a decreasing rate of population growth as resources become scarce) models. To this end, we simulated and back-calibrated n random dates, where n is the number of bins, before summing their calibrated probability distributions.…”
Section: Methodsmentioning
confidence: 99%
“…These studies, however, have either relied on very small datasets or eschewed explicit model-testing to assess whether fluctuations in the constructed SPD time series constitute demographic shifts worthy of attention [22]. While this is partly an outcome of a lower intensity of archaeological research in the region, resulting in fewer and heterogeneously distributed radiocarbon dates compared to other world regions, the importance of employing large datasets and a model-testing approach [23][24][25][26] is underscored by a more recent study [27] that identifies links between multiple phases of middle Holocene demographic downturn and high climatic variability in South America. This study demonstrates that following a middle Holocene demographic nadir, sharp population growth in South America started around the 4 th millennium BP, a finding that is consonant with suggestions that between 5.5 and 2.0 ka BP South America witnessed exponential human population growth [28].…”
Section: Probability Distributions Late Holocenementioning
confidence: 99%