Urbanism and Early State Formation in the Huamelulpan Valley of Southern Mexico

1998 ◽  
Vol 9 (1) ◽  
pp. 37-67 ◽  
Author(s):  
Andrew K. Balkansky

A long-running debate in archaeology is the analytical priority given to local vs. interregional-scale factors in the origins of complex societies. These alternate approaches have often pitted local-scale, environmentally determined models against the large-scale, sociopolitical demands of ancient cities and states. In the archaeology of Oaxaca, Mexico, these distinctions are apparent in efforts to model the impact of Monte Albán on the development of complexity outside the Valley of Oaxaca. Huamelulpan, located in the western Mixteca Alta, Oaxaca, was one of Mesoamerica's first urban centers. But despite several decades of intermittent work, the site had never been surveyed, and nearly nothing was known of the surrounding region. A systematic archaeological survey of Huamelulpan and its environs studied the urban transition from a regional perspective. Huamelulpan's urbanization was strongly correlated with the formation of a state-level polity. Interaction with Monte Albán occasioned these developments, albeit in ways more indirect than colonization or conquest. An approach to culture change is outlined that uses archaeological survey data to shift the scale of analysis between local, regional, and interregional levels to interpret the transition to city and state in Oaxaca's Huamelulpan Valley.

2013 ◽  
Vol 40 (1) ◽  
pp. 115-143 ◽  
Author(s):  
Nikolai M. Dronin ◽  
Andrei P. Kirilenko

Agriculture in Russia has always had to contend with unfavorable climate. At the same time, large-scale socio-economic experiments have also strained the country’s food production potential throughout the 20th century. The relative role of climate and state agricultural policies in affecting production of cereals was studied for the period of 1958–2010. The study used statistical yield modeling to explain the variations in observed yields with slowly changing progress in technology and management and weather variability. The correlation between the actual and weather-explained yields is moderate to high: measured at the level of the entire country, Pearson’s r is 0.74 and Spearman’s rho is 0.68. Further, we suggest that the residual yield variability can be explained partially with the influence of large-scale changes in agricultural policies at the state level. Between these policies, we consider the following key periods in the history of Russian agriculture: “Virgin Lands” campaign (end of 1950s), Kosygin-Liberman initiatives (late 1960s), Brezhnev’s investment programmes in response of stagnation of agriculture (late 1970s – early 1980s), Gorbachev’s “Perestrojka” (1985–1991), and land privatization and price liberalization (1990s).


2016 ◽  
Vol 17 (12) ◽  
pp. 2981-2995 ◽  
Author(s):  
Alex Mahalov ◽  
Jialun Li ◽  
Peter Hyde

Abstract In this study, the impacts of Mexican and southwestern U.S. agricultural and urban irrigation on North American monsoon (NAM) rainfall and other hydrometeorological fields are investigated using the Weather Research and Forecasting (WRF) Model by implementing an irrigation scheme into the WRF–land surface model. Taking the 2000–12 monsoon seasons as examples, multiple WRF simulations with irrigation are conducted by designing different crops’ maximum allowable water depletions (SWm). In comparison with gridded rainfall observations in urban and rural area, the WRF simulations with/without irrigation generally capture the observations very well, but with underestimation along the western slope of the Sierra Madre Occidental (SMO) and overestimation over southern Mexico. The simulations of WRF with irrigation are slightly improved over those without irrigation, compared with rainfall and sounding observations. Sensitivity studies reveal that the impact of irrigation on rainfall varies with location and NAM rainfall variability. Irrigation increases rainfall in eastern Arizona–western New Mexico and in northwestern Mexico because of the irrigation-induced increases of convective available potential energy (CAPE) and precipitable water. Overall, irrigation decreases rainfall in western Arizona, along the western slope of the SMO, and in central Mexico because of irrigation-induced increases of convective inhibition (CIN), decreases of CAPE, and/or large-scale water vapor divergence.


2019 ◽  
Vol 34 (9) ◽  
pp. 667-675 ◽  
Author(s):  
Harold Alderman ◽  
Phuong Hong Nguyen ◽  
Purnima Menon

Abstract The Lives Saved Tool (LiST) has been used to estimate the impact of scaling up intervention coverage on undernutrition and mortality. Evidence for the model is largely based on efficacy trials, raising concerns of applicability to large-scale contexts. We modelled the impact of scaling up health programs in India between 2006 and 2016 and compared estimates to observed changes. Demographics, intervention coverage and nutritional status were obtained from National Family and Health Survey 2005–6 (NFHS-3) for the base year and NHFS-4 2015–16 for the endline. We used the LiST to estimate the impact of changes in coverage of interventions over this decade on child mortality and undernutrition at national and subnational levels and calculated the gap between estimated and observed changes in 2016. At the national level, the LiST estimates are close to the actual values of mortality for children <1 year and <5 years in 2016 (at 41 vs 42.6 and 50 vs 56.4, respectively, per 1000 live births). National estimates for stunting, wasting and anaemia at are also close to the actual values of NFHS-4. At the state level, actual changes were higher than the changes from the LiST projections for both mortality and stunting. The predicted changes using the LiST ranged from 33% to 92% of the actual change. The LiST provided national projections close to, albeit slightly below, actual performance over a decade. Reasons for poorer performance of state-specific projections are unknown; further refinements to the LiST for subnational use would improve the usefulness of the tool.


2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Mehtab S. Karim , Dr. Huma Baqai

The impact of population growth is felt on every wake of life. Themovement of population from one country to another or within a countryhas its own consequences. Goldstone et al (2012) have thus argued, thatthe world’s population is changing in ways that are historicallyunprecedented, having its own political consequences such as, theperformance of the government due to increasing demand for services andthe distribution of political power at intra-state level. Thus, internalmigration, which is from high fertility rural zones to urban centers -indeveloping countries like Pakistan- in search of livelihood andemployment, results in concentration of population in slums and squattersettlements on the one hand and a youth bulge in urban areas, furthercontributing to this phenomenon and unprecedented urbanization. State’sinability to address this demographic change effectively results in strainsresources and poor governance. In turn, it creates xenophobia, wherenative populations blame the new migrants for deteriorating civicamenities; and generates various conflicts of critical nature. Pakistan,since its inception as an independent country, has experienced bothinternational and internal migration that resulted in socio-economiccrisis, political agitation and violent ethnic conflicts. In this backdrop, this paper takes into account the migration patterns in Pakistan since 1947 and focuses on Karachi for it being the most affected city. It theorizes that the conflict matrix of Karachi is fairly indicative of fault lines and argues that these fault lines will turn into gaping holes if timely actions are not taken.  


Author(s):  
Weihsueh A. Chiu ◽  
Rebecca Fischer ◽  
Martial L. Ndeffo-Mbah

Abstract Starting in mid-May 2020, many US states began relaxing social distancing measures that were put in place to mitigate the spread of COVID-19. To evaluate the impact of relaxation of restrictions on COVID-19 dynamics and control, we developed a transmission dynamic model and calibrated it to US state-level COVID-19 cases and deaths. We used this model to evaluate the impact of social distancing, testing and contact tracing on the COVID-19 epidemic in each state. As of July 22, 2020, we found only three states were on track to curtail their epidemic curve. Thirty-nine states and the District of Columbia may have to double their testing and/or tracing rates and/or rolling back reopening by 25%, while eight states require an even greater measure of combined testing, tracing, and distancing. Increased testing and contact tracing capacity is paramount for mitigating the recent large-scale increases in U.S. cases and deaths.


2004 ◽  
Vol 15 (1) ◽  
pp. 33-60 ◽  
Author(s):  
Andrew K. Balkansky ◽  
Verónica Pérez Rodríguez ◽  
Stephen A. Kowalewski

AbstractThis paper is about Monte Negro’s origins, and how this site fits the emerging pattern in studies of Oaxacan urbanization including the Zapotec capital at Monte Albán. Our settlement data from a multivalley regional survey in the Mixteca Alta including Monte Negro allows comparison with other urban centers that we have surveyed. Monte Negro’s origins are due to internal settlement shifts, but occurred in the external context of widespread militarism and multiple urban transitions. Examination of local, regional, and macroregional settlement systems through time reveals variation in urban trajectories that current models were not designed to explain.


2020 ◽  
Author(s):  
Weihsueh A. Chiu ◽  
Rebecca Fischer ◽  
Martial L. Ndeffo-Mbah

Abstract Social distancing measures have been implemented in the United States (US) since March 2020, to mitigate the spread of SARS-CoV-2, the causative agent of COVID-19. However, by mid-May most states began relaxing these measures to support the resumption of economic activity, even as disease incidence continued to increase in many states. To evaluate the impact of relaxing social distancing restrictions on COVID-19 dynamics and control in the US, we developed a transmission dynamic model and calibrated it to US state-level COVID-19 cases and deaths from March to June 20th, 2020, using Bayesian methods. We used this model to evaluate the impact of reopening, social distancing, testing, contact tracing, and case isolation on the COVID-19 epidemic in each state. We found that using stay-at-home orders, most states were able to curtail their COVID-19 epidemic curve by reducing and achieving an effective reproductive number below 1. But by June 20th, 2020, only 19 states and the District of Columbia were on track to curtail their epidemic curve with a 75% confidence, at current levels of reopening. Of the remaining 31 states, 24 may have to double their current testing and/or contact tracing rate to curtail their epidemic curve, and seven need to further restrict social contact by 25% in addition to doubling their testing and contact tracing rates. When social distancing restrictions are being eased, greater state-level testing and contact tracing capacity remains paramount for mitigating the risk of large-scale increases in cases and deaths.


Author(s):  
Alina Lazar

The goal of this research is to investigate and develop heuristic tools in order to extract meaningful knowledge from archeological large-scale data sets. Database queries help us to answer only simple questions. Intelligent search tools integrate heuristics with knowledge discovery tools and they use data to build models of the real world. We would like to investigate these tools and combine them within the genetic algorithm framework. Some methods, taken from the area of soft computing techniques, use rough sets for data reduction and the synthesis of decision algorithms. However, because the problems are NP-hard, using a heuristic approach by combining Boolean reasoning with genetic algorithms seems to be one of the best approaches in terms of efficiency and flexibility. We will test our tools on several large-scale archeological data sets generated from an intensive archaeological survey of the Valley of Oaxaca in Highland Mesoamerica.


1990 ◽  
Vol 1 (3) ◽  
pp. 216-246 ◽  
Author(s):  
Gary M. Feinman ◽  
Linda M. Nicholas

A recent systematic archaeological survey in the Ejutla Valley, Oaxaca, Mexico, enables us to examine long-term settlement-pattern changes in this small region and its shifting Prehispanic relation with the larger, adjacent Valley of Oaxaca. Throughout the sequence, Ejutla was settled less densely than Oaxaca, though the degree of difference varied through time. Ejutla was not a simple microcosm of Oaxaca; rather the former region shifted from a sparsely inhabited frontier to a more-dependent periphery that maintained different degrees of autonomy over time. Through a multiscalar examination of this contiguous area larger than a single valley, new perspectives are gained concerning political and economic relations and processes at the macroregional scale for the southern highlands of ancient Mesoamerica.


Author(s):  
Robert G. Reynolds

A growing body of data indicates that armed conflict played a role in the creation of complex societies such as chiefdoms and states (Wright 1984; Spencer 1998). For example, according to Wright (1977:382), "most ethnographically reported chiefdoms seem to be involved in constant warfare," and large chiefdoms grew by absorbing their weaker neighbors. Marcus and Flannery suggest that warfare was often used to create a state out of rival chiefdoms: . . . We do not believe that a chiefdom simply turns into a state. We believe that states arise when one member of a group of chiefdoms begins to take over its neighbors, eventually turning them into subject provinces of a much larger polity. (Marcus and Flannery 1996:157) . . . As an example of this process, the authors cite Kamehameha's creation of a Hawaiian state out of five to seven rival chiefdoms between 1782 and 1810. They suggest that something similar happened in the Valley of Oaxaca, Mexico, when a chiefdom in the Etla region seized the defensible mountain top of Monte Albán and began systematically subduing rival chiefdoms in the southern and eastern parts of the valley. If this is the case, there should be a point in the sequence when considerations of defense began to influence settlement choice. In this chapter, our goal is to provide a preliminary description of our efforts in testing the suitability of this model to the Oaxacan case, and its potential use as the basis for a more general model of state formation. In order to test this hypothesis we need some way to operationalize it in terms of the archaeological record in the Valley of Oaxaca. The key phases of the model can be expressed as follows: 1. An early period in which raiding was minimal, and variables relevant to successful agriculture predominate in settlement choices. 2. A gradual rise in friction between social groups prior to state formation. This friction can be represented by archaeological evidence for raiding, the principle form of warfare in tribes and chiefdoms.


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