BE/CNH: Biocomplexity: Integrating Models of Natural and Human Dynamics in Forest Landscapes Across Scales and Cultures

BE/CNH：生物复杂性：跨尺度和文化的森林景观中自然和人类动态的整合模型

• 批准号: 0216722
• 负责人: Miguel Acevedo
• 金额: $ 56.6万
• 依托单位: University of North Texas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-15 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0216722&HistoricalAwards=false
• 关键词: CNH; Biocomplexity; Integrating; Models; Natural

Few ecosystems are now free of extensive human influence, but the ways that human activity affects ecosystems such systems and their reciprocal effects on human behavior are poorly understood. The major objective of this research project is to develop integrated models that couple forest ecosystem dynamics to human decision making. The project focuses on two major components and their interaction: (1) the structure and functions of forest ecosystems; and (2) the human behaviors that affect forest ecosystem structure and functions. The models of forest structure will be hierarchically arrayed, beginning with the dynamics of tree growth and distribution and work up to the stand and landscape scales. Changes in forest cover affect ecological processes and functions, leading to predictable changes in water quantity and quality. Human behaviors will be simulated using multi-agent models, and they will be coupled to the forest models through linkages that describe different forms of disturbance of human activities on forest and hydrologic system functions and by receiving feedbacks about the effects of such actions from the forest and hydrological models. Information about the values driving human decision making will be obtained through empirical social-science research, including survey questionnaires. The dynamics of the coupled natural and human systems will be analyzed mathematically to identify complex behavior (such as oscillations and "chaos") resulting from the interaction of the human and natural systems. The project will examine natural-human system interactions in four study areas: the Trinity River Greenbelt corridor and the Big Thicket in Texas and the Caparo Forest and Imataca Reserve in Venezuela. Considerable data already has been gathered for the first of these sites, permitting it to serve as a test bed for the project. This two-year pilot study will test the feasibility of modeling forest dynamics as they are reciprocally influenced by human decision making, and it will begin the extension of the research to the larger study areas. Application of the models to the sites in Venezuela, which are very different culturally and ecologically, will demonstrate the generality of this approach to understanding coupled human and natural systems.Results of this research will provide a better quantitative understanding of the interplay between human actions and forest dynamics. This enhanced understanding will give landowners, other stakeholders, and policy makers reliable information about the impact of their decisions on the future composition, structure, and functionality of local ecosystems. It will thereby facilitate a more informed analysis of the long-term consequences of private choices and public policies on the natural systems in which human systems are embedded and with which they interact. This project is supported by an award resulting from the FY 2002 special competition in Biocomplexity in the Environment focusing on the Dynamics of Coupled Natural and Human Systems.

现在很少有生态系统不受人类的广泛影响，但人类活动影响生态系统的方式及其对人类行为的相互影响却知之甚少。 该研究项目的主要目标是开发将森林生态系统动态与人类决策相结合的综合模型。 该项目侧重于两个主要组成部分及其相互作用：（1）森林生态系统的结构和功能;（2）影响森林生态系统结构和功能的人类行为。 森林结构模型将按层次排列，从树木生长和分布的动态开始，一直到林分和景观尺度。 森林覆盖的变化影响生态过程和功能，导致水量和水质的可预测变化。 人类行为将使用多主体模型进行模拟，并通过描述人类活动对森林和水文系统功能的不同形式干扰的联系，以及通过从森林和水文模型接收关于此类行动影响的反馈，将人类行为与森林模型耦合。 关于驱动人类决策的价值观的信息将通过实证社会科学研究获得，包括调查问卷。 耦合的自然和人类系统的动力学将进行数学分析，以确定复杂的行为（如振荡和“混沌”）从人类和自然系统的相互作用。 该项目将在四个研究领域研究自然-人类系统的相互作用：得克萨斯州的Trinity河绿地走廊和大灌木丛以及委内瑞拉的Caparo森林和Imataca保护区。 已经为第一个地点收集了大量数据，使其能够作为该项目的试验台。 这项为期两年的试点研究将测试模拟森林动态的可行性，因为它们受到人类决策的影响，并将开始将研究扩展到更大的研究领域。 在委内瑞拉的网站，这是非常不同的文化和生态模型的应用，将展示这种方法的一般性，以了解耦合的人类和自然systems.Results的这项研究将提供一个更好的定量了解人类活动和森林动态之间的相互作用。 这种增强的了解将为土地所有者、其他利益攸关方和决策者提供可靠的信息，说明他们的决策对当地生态系统未来组成、结构和功能的影响。 因此，它将有助于更知情地分析私人选择和公共政策对人类系统所处并与之相互作用的自然系统的长期影响。 该项目得到了2002财政年度环境中生物复杂性特别竞赛的资助，该竞赛侧重于自然和人类系统耦合的动力学。