Societal resilience and interaction with the environment

社会复原力和与环境的相互作用

• 批准号: 1431754
• 负责人: Richard Terry
• 金额: $ 4.01万
• 依托单位: Brigham Young University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1431754&HistoricalAwards=false
• 关键词: Societal; resilience; interaction; environment

With funding from the National Science Foundation, Dr. Cameron L. McNeil will lead an international team of scholars investigating the role of environmental factors in the collapse of ancient Maya city-states. The collapse, which occurred within lowland regions of the Maya area between AD 790 and 950, has been the focus of extensive debate. Numerous hypotheses have been proposed to explain it, including warfare, climate change, top-heavy political systems, and natural disasters. But in particular, environmental degradation, or deforestation, has found widespread support as an explanation for the collapse. Archaeological and environmental data from the Copan Valley in Honduras are frequently invoked to argue that the ancient Maya destroyed their environment and precipitated the collapse of their society. According to this view, population pressure drove the Maya to deforest their lands and thereby instigate large-scale erosion, contributing to the political and demographic collapse. This project will use research techniques from a variety of scientific disciplines to generate new data on human-environmental interaction in the Copan Valley, which will shed new light on the environmental degradation theory of the collapse. The project will also addresses a contrasting hypothesis: that at the peak of their civilization the Maya actually implemented sustainable land-use practices, implying that deforestation was not a major factor in the collapse. The majority of the data collection will be centered on the archaeological site of Río Amarillo, an ancient Maya town in the Copan Valley, and the alluvial plain to its west. The goal of the research is to collect a variety of independent and complementary data sets amenable to the analysis of past human-environmental interactions. In particular, the project will undertake the analysis of pollen and phytoliths from sediment cores extracted from a body of water; starch and phytolith analysis from ground stones, lithics, and ceramics; the identification of charred macroremains recovered from archaeological excavations; stable carbon isotopes and phytoliths to determine the vegetative histories of the fields around the site; ground penetrating radar (GPR) to uncover signs of drainage networks; 3D imaging of the landscape with near-infrared sensors to look for field modifications; and recording modern pollen rain to assist in interpreting ancient pollen signatures. Each of these forms of data has the potential to provide indications of the extent of environmental degradation created by human populations over time. Results from this research will complement the analysis of artifacts and settlement plans acquired from archaeological excavations, providing a detailed record of human-environmental interaction in this area. The project will provide new data and new insights concerning the state of the landscape in the Copan Valley at the time of the collapse.

在国家科学基金会的资助下，卡梅隆L.麦克尼尔将领导一个国际学者团队，调查环境因素在古玛雅城邦崩溃中的作用。公元790年至950年之间，玛雅地区的低地地区发生了崩溃，这一直是广泛争论的焦点。人们提出了许多假设来解释它，包括战争、气候变化、头重脚轻的政治制度和自然灾害。但特别是，环境退化，或森林砍伐，已经找到了广泛的支持，作为崩溃的解释。 来自洪都拉斯科潘山谷的考古和环境数据经常被引用来论证古玛雅人破坏了他们的环境并加速了他们社会的崩溃。根据这种观点，人口压力迫使玛雅人砍伐他们的土地，从而引发大规模的侵蚀，导致政治和人口崩溃。该项目将利用各种科学学科的研究技术，生成关于科潘山谷人与环境相互作用的新数据，这将为崩塌的环境退化理论提供新的线索。 该项目还将解决一个相反的假设：在玛雅文明的顶峰时期，玛雅人实际上实施了可持续的土地使用做法，这意味着森林砍伐不是崩溃的主要因素。大部分数据收集将集中在科潘山谷的古玛雅城镇Río Amarillo的考古遗址及其西部的冲积平原。 研究的目标是收集各种独立和互补的数据集，以分析过去的人类与环境的相互作用。特别是，该项目将对从水体中提取的沉积物芯中的花粉和植硅石进行分析;对地面石头、岩石和陶瓷进行淀粉和植硅石分析;对考古发掘中发现的烧焦的大型遗骸进行鉴定;对稳定碳同位素和植硅石进行分析，以确定遗址周围田地的植被历史;这些技术包括：利用探地雷达（GPR）发现排水网络的迹象;利用近红外传感器对景观进行3D成像，以寻找现场变化;记录现代花粉雨，以协助解读古代花粉特征。每一种形式的数据都有可能表明人类长期造成的环境退化程度。这项研究的结果将补充从考古发掘中获得的文物和定居计划的分析，提供该地区人与环境相互作用的详细记录。该项目将提供有关科潘山谷在崩塌时景观状况的新数据和新见解。