A New Paradigm: The African Early Iron Age without Bantu Migrations

2000 ◽  
Vol 27 ◽  
pp. 287-323 ◽  
Author(s):  
John H. Robertson ◽  
Rebecca Bradley
Keyword(s):  
Iron Age ◽  
Large Scale ◽  
Population Decline ◽  
Sub Saharan Africa ◽  
Early Iron Age ◽  
New Paradigm ◽  
Hunter Gatherers ◽  
Population Movements ◽  
Iron Technology ◽  
Sub Saharan

Between 1000 BC and AD 1000, or so the story goes, sub-Saharan Africa was the setting for one of the all-time great population movements of antiquity—the Bantu migrations. Sweeping to and fro across the continent in a kind of grand migrationary gavotte, absorbing or brushing aside the autochthonous hunter-gatherers, the ancestral Bantu speakers carried with them on their march the seeds of a settled life fueled by food production and iron technology. Their movements are represented by large arrows scything across big blank maps of the African interior. How good is the evidence that any of it ever happened?In this paper we shall examine some of the serious methodological and practical problems that bedevil the migrationary model. We shall also present an alternative model for the prehistory of sub-Saharan Africa: in brief, that the development of the Early Iron Age in Africa was a process rather than an event; that autochthonous populations gradually adopted the suite of traits that define the Early Iron Age, without any large-scale movement of peoples; and that increasing sedentarization actually led to a population decline which was only overcome after AD 500.The model constitutes a new paradigm that emphasizes continuity and takes into account a few observations that are awkward for the migrationary paradigm: that sub-Saharan Africa has a difficult topography that may put certain constraints on population movements, and that the continent was slowly filling up on its own when events starting in the sixteenth century turned the autochthonous peoples' lives upside down.

scholarly journals Admixture into and within sub-Saharan Africa

2016 ◽  
Author(s):  
George Busby ◽  
Gavin Band ◽  
Quang Si Le ◽  
Muminatou Jallow ◽  
Edith Bougama ◽  
...  
Keyword(s):  
Large Scale ◽  
Haplotype Diversity ◽  
Geographic Region ◽  
Sub Saharan Africa ◽  
Agricultural Technologies ◽  
Population Movements ◽  
Crucial Component ◽  
Depth Analysis ◽  
Scale Population ◽  
Sub Saharan

Understanding patterns of genetic diversity is a crucial component of medical research in Africa. Here we use haplotype-based population genetics inference to describe gene-flow and admixture in a collection of 48 African groups with a focus on the major populations of the sub-Sahara. Our analysis presents a framework for interpreting haplotype diversity within and between population groups and provides a demographic foundation for genetic epidemiology in Africa. We show that coastal African populations have experienced an influx of Eurasian haplotypes as a series of admixture events over the last 7,000 years, and that Niger-Congo speaking groups from East and Southern Africa share ancestry with Central West Africans as a result of recent population expansions associated with the adoption of new agricultural technologies. We demonstrate that most sub-Saharan populations share ancestry with groups from outside of their current geographic region as a result of large-scale population movements over the last 4,000 years. Our in-depth analysis of admixture provides an insight into haplotype sharing across different geographic groups and the recent movement of alleles into new climatic and pathogenic environments, both of which will aid the interpretation of genetic studies of disease in sub-Saharan Africa.

Radiocarbon Dates for Sub-Saharan Africa: V

1967 ◽  
Vol 8 (3) ◽  
pp. 513-527 ◽  
Author(s):  
Brian M. Fagan
Keyword(s):  
Iron Age ◽  
Southern Africa ◽  
Food Production ◽  
Sub Saharan Africa ◽  
Early Iron Age ◽  
Radiocarbon Dates ◽  
Salt Pans ◽  
First Millennium ◽  
Sub Saharan

This list contains many scattered dates, most of them from sites either provisionally dated from other sources, or recently excavated. An important series of dates from the Sahara confirm earlier readings for food production in that area. The Daima sequence from Nigeria is dated from the middle of the first millennium A.D. to the closing centuries of the Iron Age.In East and Southern Africa, two important early Iron Age dates from Kenya have been released. Four dates for Ivuna salt-pans place the site as slightly later than the closing stages of the Kalambo Falls sequence. Two more problematical dates for Engaruka have been announced, as well as a date of A.D. 410 for the Iron Age in Swaziland.All dates given in this and subsequent lists are radiocarbon ages, rather than readings in calendar years.

scholarly journals Precision Agriculture for Resource Use Efficiency in Smallholder Farming Systems in Sub-Saharan Africa: A Systematic Review

2021 ◽  
Vol 13 (3) ◽  
pp. 1158
Author(s):  
Cecilia M. Onyango ◽  
Justine M. Nyaga ◽  
Johanna Wetterlind ◽  
Mats Söderström ◽  
Kristin Piikki
Keyword(s):  
Resource Use ◽  
Precision Agriculture ◽  
Large Scale ◽  
English Language ◽  
Management Practices ◽  
Smallholder Farmers ◽  
Management Strategies ◽  
Sub Saharan Africa ◽  
Smallholder Farming ◽  
Sub Saharan

Opportunities exist for adoption of precision agriculture technologies in all parts of the world. The form of precision agriculture may vary from region to region depending on technologies available, knowledge levels and mindsets. The current review examined research articles in the English language on precision agriculture practices for increased productivity among smallholder farmers in Sub-Saharan Africa. A total of 7715 articles were retrieved and after screening 128 were reviewed. The results indicate that a number of precision agriculture technologies have been tested under SSA conditions and show promising results. The most promising precision agriculture technologies identified were the use of soil and plant sensors for nutrient and water management, as well as use of satellite imagery, GIS and crop-soil simulation models for site-specific management. These technologies have been shown to be crucial in attainment of appropriate management strategies in terms of efficiency and effectiveness of resource use in SSA. These technologies are important in supporting sustainable agricultural development. Most of these technologies are, however, at the experimental stage, with only South Africa having applied them mainly in large-scale commercial farms. It is concluded that increased precision in input and management practices among SSA smallholder farmers can significantly improve productivity even without extra use of inputs.

Intraclass Correlation Coefficients for Designing Cluster-Randomized Trials in Sub-Saharan Africa Education

2016 ◽  
Vol 40 (6) ◽  
pp. 500-525 ◽  
Author(s):  
Ben Kelcey ◽  
Zuchao Shen ◽  
Jessaca Spybrook
Keyword(s):  
Large Scale ◽  
Randomized Trials ◽  
Intraclass Correlation ◽  
Educational Interventions ◽  
Sub Saharan Africa ◽  
Design Stage ◽  
Education Outcomes ◽  
Randomized Studies ◽  
Sub Saharan ◽  
Variance Explained

Objective: Over the past two decades, the lack of reliable empirical evidence concerning the effectiveness of educational interventions has motivated a new wave of research in education in sub-Saharan Africa (and across most of the world) that focuses on impact evaluation through rigorous research designs such as experiments. Often these experiments draw on the random assignment of entire clusters, such as schools, to accommodate the multilevel structure of schooling and the theory of action underlying many school-based interventions. Planning effective and efficient school randomized studies, however, requires plausible values of the intraclass correlation coefficient (ICC) and the variance explained by covariates during the design stage. The purpose of this study was to improve the planning of two-level school-randomized studies in sub-Saharan Africa by providing empirical estimates of the ICC and the variance explained by covariates for education outcomes in 15 countries. Method: Our investigation drew on large-scale representative samples of sixth-grade students in 15 countries in sub-Saharan Africa and includes over 60,000 students across 2,500 schools. We examined two core education outcomes: standardized achievement in reading and mathematics. We estimated a series of two-level hierarchical linear models with students nested within schools to inform the design of two-level school-randomized trials. Results: The analyses suggested that outcomes were substantially clustered within schools but that the magnitude of the clustering varied considerably across countries. Similarly, the results indicated that covariance adjustment generally reduced clustering but that the prognostic value of such adjustment varied across countries.

Land conflicts and social differentiation in eastern Uganda

2017 ◽  
Vol 55 (3) ◽  
pp. 395-422 ◽  
Author(s):  
Matt Kandel
Keyword(s):  
Large Scale ◽  
Local Level ◽  
Sub Saharan Africa ◽  
Social Differentiation ◽  
Land Conflicts ◽  
Current Period ◽  
Post Conflict ◽  
Sub Saharan ◽  
Historical Developments ◽  
Eastern Uganda

ABSTRACTRising competition and conflict over land in rural sub-Saharan Africa continues to attract the attention of researchers. Recent work has especially focused on land governance, post-conflict restructuring of tenure relations, and large-scale land acquisitions. A less researched topic as of late, though one deserving of greater consideration, pertains to how social differentiation on the local-level shapes relations to land, and how these processes are rooted in specific historical developments. Drawing on fieldwork conducted in Teso sub-region of eastern Uganda, this paper analyses three specific land conflicts and situates them within a broad historical trajectory. I show how each dispute illuminates changes in class relations in Teso since the early 1990s. I argue that this current period of socioeconomic transformation, which includes the formation of a more clearly defined sub-regional middle class and elite, constitutes the most prominent period of social differentiation in Teso since the early 20th century.

scholarly journals Resource frontiers and agglomeration economies: The varied logics of transnational land-based investing in Southern and Eastern Africa

AMBIO ◽  
2022 ◽  
Author(s):  
Dilini Abeygunawardane ◽  
Angela Kronenburg García ◽  
Zhanli Sun ◽  
Daniel Müller ◽  
Almeida Sitoe ◽  
...  
Keyword(s):  
Spatial Data ◽  
Large Scale ◽  
Agglomeration Economies ◽  
Sub Saharan Africa ◽  
Eastern Africa ◽  
Track Record ◽  
Level Data ◽  
Forestry Investments ◽  
Sub Saharan ◽  
Investment Location

AbstractActor-level data on large-scale commercial agriculture in Sub-Saharan Africa are scarce. The peculiar choice of transnational investing in African land has, therefore, been subject to conjecture. Addressing this gap, we reconstructed the underlying logics of investment location choices in a Bayesian network, using firm- and actor-level interview and spatial data from 37 transnational agriculture and forestry investments across 121 sites in Mozambique, Zambia, Tanzania, and Ethiopia. We distinguish four investment locations across gradients of resource frontiers and agglomeration economies to derive the preferred locations of different investors with varied skillsets and market reach (i.e., track record). In contrast to newcomers, investors with extensive track records are more likely to expand the land use frontier, but they are also likely to survive the high transaction costs of the pre-commercial frontier. We highlight key comparative advantages of Southern and Eastern African frontiers and map the most probable categories of investment locations.

scholarly journals Understanding the Stability of Early Iron Age folks of South India with Special Reference to Krishna-Tungabhadra- Kaveri, Karnataka; Their Past-Present-Future

2014 ◽  
Vol 13 (4) ◽  
pp. 47
Author(s):  
Arjun R
Keyword(s):  
Iron Age ◽  
Large Scale ◽  
South India ◽  
Early Iron Age ◽  
Late Neolithic ◽  
Early Historic Period ◽  
Indigenous Development ◽  
Iron Smelting ◽  
The Stability ◽  
The Hill

There are about 1933 Early Iron Age Megalithic sites spread across South India. The Early Iron Age of South India is implicit either in the form of burial sites, habitation sites, habitation cum burial sites, Iron Age rock art sites, and isolated iron smelting localities near a habitation or burials. This paper is an attempt to take a rough computation of the potentiality of the labour, technology and quantity of artifact output that this cultural phase might have once had, in micro or in macro level. Considering the emergence of technology and its enormous output in Ceramics, Agriculture, Metallurgy and Building up Burials as industries by themselves, that has economic, ethnographic and socio-technique archaeological imprints. This helps in understanding two aspects: one, whether they were nomadic, semi settled or settled at one location; two, the Diffusion versus Indigenous development. A continuity of late Neolithic phase is seen into Early Iron Age and amalgamation of Early Iron Age with the Early Historic Period as evident in the sites like Maski, Brahmagiri, Sanganakallu, Tekkalakota, T-Narasipur. In few cases, Iron Age folks migrated from one location to the other and settled on the river banks in large scale like that in Hallur and Koppa. In rare cases, they preferred to climb up the hill and stay on the rocky flat surface for example Aihole and Hiere Bekal– sites which are located close to or on the banks of the river or its tributaries of Krishna-Tungabhadra- Kaveri.Keywords: Labour, Industry, Production, Megaliths, Nomadic, Semi Settled, Early Iron Age.

scholarly journals The seasonality of cholera in sub-Saharan Africa

2021 ◽  
Author(s):  
Javier Perez-Saez ◽  
Justin Lessler ◽  
Elizabeth C. Lee ◽  
Francisco J. Luquero ◽  
Espoir B. Malembaka ◽  
...  
Keyword(s):  
Large Scale ◽  
Task Force ◽  
Case Fatality ◽  
Sub Saharan Africa ◽  
Health Concern ◽  
National Differences ◽  
Sub Saharan ◽  
Eastern And Southern Africa ◽  
Positive Correlations ◽  
Gates Foundation

Background Cholera remains a major threat in Sub-Saharan Africa (SSA) where some of the highest case fatality risks are reported. Knowing in what months and where cholera tends to occur across the continent can aid in improving efforts to eliminate cholera as a public health concern; though largely due to lack of unified large-scale datasets, no continent-wide estimates exist. In this study we aim to estimate cholera seasonality across SSA. Methods We leverage the Global Task Force on Cholera Control (GTFCC) global cholera database with statistical models to synthesize data across spatial and temporal scale in order to infer the seasonality of excess suspected cholera occurrence in SSA. We developed a Bayesian statistical model to infer the monthly risk of excess cholera at the first and/or second administrative levels. Seasonality patterns were then grouped into spatial clusters. Finally, we studied the association between seasonality estimates and hydro-climatic variables. Findings The majority of studied countries (24/34) have seasonal patterns in excess cholera, corresponding to approximately 85% of the SSA population. Most countries (19/24) also had sub-national differences in seasonality patterns, with strong differences in seasonality strength between regions. Seasonality patterns clustered into two macro-regions (West Africa and the Sahel vs. Eastern and Southern Africa), which were composed of sub-regional clusters with varying degrees of seasonality. Exploratory association analysis found most consistent and positive correlations between cholera seasonality and precipitation, and to a lesser extent with temperature and flooding. Interpretation Widespread cholera seasonality in SSA offers opportunities for intervention planning. Further studies are needed to study the association between cholera and climate. Funding The NASA Applied Sciences Program and the Bill and Melinda Gates Foundation.

HIV/AIDS

2020 ◽  
pp. 901-933
Author(s):  
Sarah Fidler ◽  
Timothy E.A. Peto ◽  
Philip Goulder ◽  
Christopher P. Conlon
Keyword(s):  
Large Scale ◽  
Sub Saharan Africa ◽  
People Living With Hiv ◽  
African Countries ◽  
Global Pandemic ◽  
The People ◽  
Reduce Life Expectancy ◽  
Sub Saharan ◽  
Living With Hiv ◽  
The Impact

Since its discovery in 1983, the human immunodeficiency virus (HIV) has been associated with a global pandemic that has affected more than 78 million people and caused more than 39 million deaths. Globally, 36.9 million (34.3–41.4 million) people were living with HIV at the end of 2013. An estimated 0.8% of adults aged 15–49 years worldwide are living with HIV, although the burden of the epidemic continues to vary considerably between countries and regions. Sub-Saharan Africa remains most severely affected, with nearly 1 in every 20 adults living with HIV and accounting for nearly 71% of the people living with HIV worldwide. The impact of HIV in some African countries has been sufficient to reverse population growth and reduce life expectancy into the mid-30s, although HIV incidence has declined in some of these high-prevalence countries. However, there are large-scale HIV epidemics elsewhere (e.g. India, the Russian Federation, and Eastern Europe).

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