34 resultados para AMAZON PREHISTORY
em CentAUR: Central Archive University of Reading - UK
Resumo:
The ship is the dominant element in the visual culture of the South Scandinavian Bronze Age, appearing in several different media, including rock carvings, decorated metalwork and above-ground monuments. Discussion has divided between those scholars who interpret this imagery in terms of long-distance exchange networks and those who emphasize its more local significance, including its deployment in mortuary ritual. A strikingly similar system is identified in Southeast Asia and part of Melanesia and can be interpreted through archaeological and ethnographic sources, but in this case there is no need to distinguish between 'practical' and 'symbolic' interpretations of the depictions of ships. This paper summarizes the evidence from this region and suggests that it can offer a fruitful source of comparison for archaeologists working in northern Europe.
Resumo:
Land use and land cover changes in the Brazilian Amazon have major implications for regional and global carbon (C) cycling. Cattle pasture represents the largest single use (about 70%) of this once-forested land in most of the region. The main objective of this study was to evaluate the accuracy of the RothC and Century models at estimating soil organic C (SOC) changes under forest-to-pasture conditions in the Brazilian Amazon. We used data from 11 site-specific 'forest to pasture' chronosequences with the Century Ecosystem Model (Century 4.0) and the Rothamsted C Model (RothC 26.3). The models predicted that forest clearance and conversion to well managed pasture would cause an initial decline in soil C stocks (0-20 cm depth), followed in the majority of cases by a slow rise to levels exceeding those under native forest. One exception to this pattern was a chronosequence in Suia-Missu, which is under degraded pasture. In three other chronosequences the recovery of soil C under pasture appeared to be only to about the same level as under the previous forest. Statistical tests were applied to determine levels of agreement between simulated SOC stocks and observed stocks for all the sites within the 11 chronosequences. The models also provided reasonable estimates (coefficient of correlation = 0.8) of the microbial biomass C in the 0-10 cm soil layer for three chronosequences, when compared with available measured data. The Century model adequately predicted the magnitude and the overall trend in delta C-13 for the six chronosequences where measured 813 C data were available. This study gave independent tests of model performance, as no adjustments were made to the models to generate outputs. Our results suggest that modelling techniques can be successfully used for monitoring soil C stocks and changes, allowing both the identification of current patterns in the soil and the projection of future conditions. Results were used and discussed not only to evaluate soil C dynamics but also to indicate soil C sequestration opportunities for the Brazilian Amazon region. Moreover, modelling studies in these 'forest to pasture' systems have important applications, for example, the calculation of CO, emissions from land use change in national greenhouse gas inventories. (0 2007 Elsevier B.V. All rights reserved.
Resumo:
Currently we have little understanding of the impacts of land use change on soil C stocks in the Brazilian Amazon. Such information is needed to determine impacts'6n the global C cycle and the sustainability of agricultural systems that are replacing native forest. The aim of this study was to predict soil carbon stocks and changes in the Brazilian Amazon during the period between 2000 and 2030, using the GEFSOC soil carbon (C) modelling system. In order to do so, we devised current and future land use scenarios for the Brazilian Amazon, taking into account: (i) deforestation, rates from the past three decades, (ii) census data on land use from 1940 to 2000, including the expansion and intensification of agriculture in the region, (iii) available information on management practices, primarily related to well managed pasture versus degraded pasture and conventional systems versus no-tillage systems for soybean (Glycine max) and (iv) FAO predictions on agricultural land use and land use changes for the years 2015 and 2030. The land use scenarios were integrated with spatially explicit soils data (SOTER database), climate, potential natural vegetation and land management units using the recently developed GEFSOC soil C modelling system. Results are presented in map, table and graph form for the entire Brazilian Amazon for the current situation (1990 and 2000) and the future (2015 and 2030). Results include soil organic C (SOC) stocks and SOC stock change rates estimated by three methods: (i) the Century ecosystem model, (ii) the Rothamsted C model and (iii) the intergovernmental panel on climate change (IPCC) method for assessing soil C at regional scale. In addition, we show estimated values of above and belowground biomass for native vegetation, pasture and soybean. The results on regional SOC stocks compare reasonably well with those based on mapping approaches. The GEFSOC system provided a means of efficiently handling complex interactions among biotic-edapho-climatic conditions (> 363,000 combinations) in a very large area (similar to 500 Mha) such as the Brazilian Amazon. All of the methods used showed a decline in SOC stock for the period studied; Century and RothC simulated values for 2030 being about 7% lower than those in 1990. Values from Century and RothC (30,430 and 25,000 Tg for the 0-20 cm layer for the Brazilian Amazon region were higher than those obtained from the IPCC system (23,400 Tg in the 0-30 cm layer). Finally; our results can help understand the major biogeochemical cycles that influence soil fertility and help devise management strategies that enhance the sustainability of these areas and thus slow further deforestation. (C) 2007 Elsevier B.V. All rights reserved.
Resumo:
This study explores the way in which our picture of the Levantine Epipalaeolithic has been created, investigating the constructs that take us from found objects to coherent narrative about the world. Drawing on the treatment of chipped stone, the fundamental raw material of prehistoric narratives, it examines the use of figurative devices - of metaphor, metonymy, and synecdoche - to make the connection between the world and the words we need to describe it. The work of three researchers is explored in a case study of the Middle Epipalaeolithic with the aim of showing how different research goals and methodologies have created characteristics for the period that are so entrenched in discourse as to have become virtually invisible.Yet the definition of distinct cultures with long-lasting traditions, the identification of two separate ethnic trajectories linked to separate environmental zones, and the analysis of climate as the key driver of change all rest on analytical manoeuvres to transform objects into data.
Resumo:
Climate change science is increasingly concerned with methods for managing and integrating sources of uncertainty from emission storylines, climate model projections, and ecosystem model parameterizations. In tropical ecosystems, regional climate projections and modeled ecosystem responses vary greatly, leading to a significant source of uncertainty in global biogeochemical accounting and possible future climate feedbacks. Here, we combine an ensemble of IPCC-AR4 climate change projections for the Amazon Basin (eight general circulation models) with alternative ecosystem parameter sets for the dynamic global vegetation model, LPJmL. We evaluate LPJmL simulations of carbon stocks and fluxes against flux tower and aboveground biomass datasets for individual sites and the entire basin. Variability in LPJmL model sensitivity to future climate change is primarily related to light and water limitations through biochemical and water-balance-related parameters. Temperature-dependent parameters related to plant respiration and photosynthesis appear to be less important than vegetation dynamics (and their parameters) for determining the magnitude of ecosystem response to climate change. Variance partitioning approaches reveal that relationships between uncertainty from ecosystem dynamics and climate projections are dependent on geographic location and the targeted ecosystem process. Parameter uncertainty from the LPJmL model does not affect the trajectory of ecosystem response for a given climate change scenario and the primary source of uncertainty for Amazon 'dieback' results from the uncertainty among climate projections. Our approach for describing uncertainty is applicable for informing and prioritizing policy options related to mitigation and adaptation where long-term investments are required.
Resumo:
The article traces the beginnings and early history of feminist geography in the United Kingdom through the memories and personal narratives of two women who were heavily involved in this field of geographical research, in the 1970s, and were founder members of the Women and Geography Study Group of the Institute of British Geographers. The article begins by considering the context (both political and academic) within which feminist geography was born. Second-wave feminism and the rise of the women’s movement, initially in the United States, is seen as a major influence on the development of feminist geography. In the academic world, it was the dominance of quantitative geography in the 1960s, and the related opposition to this positivist paradigm by humanistic and socialist geographers, which led to calls for a recognition of the inequalities faced by women in society and an understanding of the differences in men’s and women’s lives. Through personal narratives, the authors seek to illustrate the obstacles and disagreements, as well as the encouragements and opportunities, which led to the birth of UK-feminist geography. Many individual geographers, influential to the story, are referred to, seen through the eyes of the authors at that time.