CNH: Climate Change, Hydrology, and Landscapes of America's Heartland: A Multi-Scale Natural-Human System

CNH：美国中心地带的气候变化、水文学和景观：多尺度的自然人类系统

• 批准号: 1009925
• 负责人: Silvia Secchi
• 金额: $ 143万
• 依托单位: Southern Illinois University at Carbondale
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2016-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1009925&HistoricalAwards=false
• 关键词: CNH; Climate; Change; Hydrology; Landscapes

A lynchpin between nature and society, agricultural landscapes are finely adapted to socioeconomic forces and climate, yet both are now in flux. This interdisciplinary research project will investigate the effects of anticipated climatic change on the agricultural heartland of the central United States and how adaptations to climate change will generate new landscape patterns. As a coupled natural-human system with climatic, agrotechnology, market, and policy feedbacks, future landscapes will differ from current patterns in terms of water quantity, water quality, and agricultural production. The investigators will focus their attention on three central sets of research questions: (1) How will 21st-century climate change, together with changing market and policy environments, affect land-use patterns at various scales ranging from the central U.S. as a whole to macroscale regions like the "Corn Belt" to mesoscale watersheds to individual farms and fields? How will this change the geography of agricultural production? (2) Under what policies and prices does landscape change induced by climate change generate a positive or a negative feedback through changes in carbon storage, evapotranspiration, and albedo in agricultural landscapes? (3) Will climate change expand or diminish the agricultural production and ecosystem service generation capacities of mesoscale watersheds representative of agricultural regions? These questions will be answered using linked methodologies, starting with downscaling of greenhouse gas emissions scenarios based on the 5th Assessment Report of the IPCC for 2020-2025, 2030-2035, 2060-2065, and 2095-2100 that will drive agent-based models of farmer behavior. From these scenarios, land-use change models utilizing the NASS/USDA Cropland Data Layer will generate most-likely landscapes for the American agricultural heartland. The SWAT watershed model then will be used to derive estimates of stream flow, sediment, and nutrient loads, which will be used in conjunction with carbon storage estimates from EPIC in a genetic algorithm to derive ecological-economic production possibility frontiers for each representative watershed for each time period for each climatic scenario. The investigators hypothesize that climatic change will diminish agricultural and ecologic potentials in some regions, such as through reduced water availability, while it will expand in other areas, such as through lengthening of the growing season, but these effects will be greatly influenced through market and policy developments, such as biofuel production and carbon credits. This project will enhance basic understanding about the ways that climate change will affect agricultural land use and water resources under various policies and incentive structures. Project results will facilitate early adaptation and make a timely contribution to the successful integration of agricultural, environmental, and trade policy. Maps that will show where cropping patterns and associated agricultural revenues, water quantity, and water quality are most likely to change will be disseminated to the broad scientific community and relevant policy makers in USDA and other relevant governmental bodies. Middle and high school teachers will be directly involved in developing teaching modules, distributable by CD/ROM and consistent with existing educational policies and practices, to bring building block concepts in systems and modeling approaches to nature-society interaction to Grade 6-12 science and Grade 9-12 social studies education. This project is supported by the NSF Dynamics of Coupled Natural and Human Systems (CNH) Program.

农业景观是自然与社会之间的关键，它很好地适应了社会经济力量和气候，但现在两者都在变化。 这个跨学科的研究项目将调查预期的气候变化对美国中部农业中心地带的影响，以及如何适应气候变化将产生新的景观格局。 作为一个耦合的自然-人类系统与气候，农业技术，市场和政策的反馈，未来的景观将不同于目前的模式，在水量，水质和农业生产。 研究人员将把注意力集中在三组核心研究问题上：（1）21世纪的气候变化，以及不断变化的市场和政策环境，将如何影响土地利用模式在各种尺度上，从美国中部作为一个整体，以宏观区域，如“玉米带”到中尺度流域，以个人农场和田地？ 这将如何改变农业生产的地理格局？ (2)在什么样的政策和价格下，气候变化引起的景观变化通过农业景观中碳储量、蒸散量和蒸腾量的变化产生正反馈或负反馈？ (3)气候变化是否会扩大或减少代表农业地区的中尺度流域的农业生产和生态系统服务生成能力？ 这些问题将使用相关的方法来回答，首先是基于IPCC 2020-2025年、2030-2035年、2060-2065年和2095-2100年第五次评估报告的温室气体排放情景的缩减，这将推动基于代理人的农民行为模型。 从这些情况下，土地利用变化模型，利用NASS/美国农业部耕地数据层将产生最有可能的景观为美国农业中心地带。 SWAT流域模型，然后将被用来获得流量，沉积物和养分负荷，这将被用于与EPIC在遗传算法中的碳储量估计，以获得生态经济生产可能性边界为每个代表性流域的每个时间段为每个气候情景的估计。 研究人员假设，气候变化将减少某些地区的农业和生态潜力，例如通过减少水的可用性，而它将在其他地区扩大，例如通过延长生长季节，但这些影响将通过市场和政策发展受到很大影响，例如生物燃料生产和碳信用额。这一项目将加强对气候变化在各种政策和激励结构下如何影响农业土地使用和水资源的基本了解。 项目成果将有助于及早适应，并及时促进农业、环境和贸易政策的成功整合。 将向广大科学界和美国农业部及其他相关政府机构的相关决策者分发显示种植模式和相关农业收入、水量和水质最有可能发生变化的地图。 初中和高中教师将直接参与开发教学模块，可通过CD/ROM分发，并与现有的教育政策和实践相一致，将系统中的积木概念和自然-社会互动的建模方法带入6-12年级的科学和9-12年级的社会研究教育。 该项目由NSF耦合自然和人类系统动力学（CNH）计划支持。