Evidence for the Postconquest Demographic Collapse of the Americas in Historical CO2 Levels

Abstract This article promotes the hypothesis that the massive demographic collapse of the native populations of the Americas triggered by the European colonization brought about the abandonment of large expanses of agricultural fields soon recovered by forests, which in due turn fixed atmospheric CO2 in significant quantities. This hypothesis is supported by measurements of atmospheric CO2 levels in ice cores from Law Dome, Antarctica. Changing the focus from paleoclimate to global population dynamics and using the same causal chain, the measured drop in historic atmospheric CO2 levels can also be looked upon as further, strong evidence for the postconquest demographic collapse of the Americas.

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Faculty Opinions recommendation of Are patterns of density dependence in the Global Population Dynamics Database driven by uncertainty about population abundance?

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.13371997.14742108 ◽

2011 ◽

Author(s):

Vlastimil Krivan ◽

Ludek Berec

Keyword(s):

Population Dynamics ◽

Density Dependence ◽

Population Abundance ◽

Global Population

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Global Population Dynamics Drive the Phases of the Great Divergence and Convergence

SSRN Electronic Journal ◽

10.2139/ssrn.2389005 ◽

2014 ◽

Author(s):

Andrey Korotayev ◽

Jonas J. Nazimoff Shaende ◽

Jack A. Goldstone

Keyword(s):

Population Dynamics ◽

Great Divergence ◽

Global Population

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GIS-Based Approach to Spatio-Temporal Interpolation of Atmospheric CO2 Concentrations in Limited Monitoring Dataset

Atmosphere ◽

10.3390/atmos12030384 ◽

2021 ◽

Vol 12 (3) ◽

pp. 384

Author(s):

Yaroslav Bezyk ◽

Izabela Sówka ◽

Maciej Górka ◽

Jan Blachowski

Keyword(s):

Seasonal Variability ◽

Sampling Strategy ◽

Climate Impacts ◽

Air Pollutant ◽

Urban Atmosphere ◽

Atmospheric Co2 ◽

Spatial Characteristic ◽

Interpolation Methods ◽

Co2 Levels ◽

The City

Understanding the magnitude and distribution of the mixes of the near-ground carbon dioxide (CO2) components spatially (related to the surface characteristics) and temporally (over seasonal timescales) is critical to evaluating present and future climate impacts. Thus, the application of in situ measurement approaches, combined with the spatial interpolation methods, will help to explore variations in source contribution to the total CO2 mixing ratios in the urban atmosphere. This study presents the spatial characteristic and temporal trend of atmospheric CO2 levels observed within the city of Wroclaw, Poland for the July 2017–August 2018 period. The seasonal variability of atmospheric CO2 around the city was directly measured at the selected sites using flask sampling with a Picarro G2201-I Cavity Ring-Down Spectroscopy (CRDS) technique. The current work aimed at determining the accuracy of the interpolation techniques and adjusting the interpolation parameters for estimating the magnitude of CO2 time series/seasonal variability in terms of limited observations during the vegetation and non-vegetation periods. The objective was to evaluate how different interpolation methods will affect the assessment of air pollutant levels in the urban environment and identify the optimal sampling strategy. The study discusses the schemes for optimization of the interpolation results that may be adopted in areas where no observations are available, which is based on the kriging error predictions for an appropriate spatial density of measurement locations. Finally, the interpolation results were extended regarding the average prediction bias by exploring additional experimental configurations and introducing the limitation of the future sampling strategy on the seasonal representation of the CO2 levels in the urban area.

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Immature survival, fertility, and density dependence drive global population dynamics in a long‐lived species

Ecology ◽

10.1002/ecy.2515 ◽

2018 ◽

Vol 99 (12) ◽

pp. 2823-2832 ◽

Cited By ~ 7

Author(s):

M. Genovart ◽

D. Oro ◽

S. Tenan

Keyword(s):

Population Dynamics ◽

Density Dependence ◽

Global Population ◽

Immature Survival

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Corrigendum to “Changes in atmospheric CO2 levels recorded by the isotopic signature of n-alkanes from plants” [Glob. Planet. Chang. 148 (2017) 72–78]

Global and Planetary Change ◽

10.1016/j.gloplacha.2017.05.004 ◽

2018 ◽

Vol 164 ◽

pp. 72

Author(s):

Karina Scurupa Machado ◽

Sandro Froehner

Keyword(s):

Isotopic Signature ◽

Atmospheric Co2 ◽

Co2 Levels

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The promiscuous and highly mobile resistome of a superbug

10.1101/2021.02.03.429652 ◽

2021 ◽

Author(s):

Ismael Hernández-González ◽

Valeria Mateo-Estrada ◽

Santiago Castillo-Ramírez

Keyword(s):

Population Dynamics ◽

Gene Content ◽

Massive Data ◽

Nosocomial Pathogen ◽

Data Set ◽

Massive Data Set ◽

The Individual ◽

Global Threat ◽

And Control ◽

Global Population

AbstractAntimicrobial resistance (AR) is a major global threat to public health. Understanding the population dynamics of AR is critical to restrain and control this issue. However, no study has provided a global picture of the resistome of Acinetobacter baumannii, a very important nosocomial pathogen. Here we analyze 1450+ genomes (covering > 40 countries and > 4 decades) to infer the global population dynamics of the resistome of this species. We show that gene flow and horizontal transfer have driven the dissemination of AR genes in A. baumannii. We found considerable variation in AR gene content across lineages. Although the individual AR gene histories have been affected by recombination, the AR gene content has been shaped by the phylogeny. Furthermore, many AR genes have been transferred to other well-known pathogens, such as Pseudomonas aeruginosa or Klebsiella pneumoniae. Finally, despite using this massive data set, we were not able to sample the whole diversity of AR genes, which suggests that this species has an open resistome. Ours results highlight the high mobilization risk of AR genes between important pathogens. On a broader perspective, this study gives a framework for an emerging perspective (resistome-centric) on the genome epidemiology (and surveillance) of bacterial pathogens.

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