CNH: Exploring Social, Ecological, and Hydrological Regime Shifts in the Logone Floodplain of Cameroon

CNH：探索喀麦隆洛贡洪泛区的社会、生态和水文状况变化

• 批准号: 1211986
• 负责人: Mark Moritz
• 金额: $ 147.5万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1211986&HistoricalAwards=false
• 关键词: CNH; Exploring; Social; Ecological; Hydrological

This interdisciplinary research project will focus on the impact of human activities and climate change on African floodplains. African floodplains are an excellent example of coupled human-natural systems because they exhibit strong interactions among multiple social, ecological, and hydrological systems. The intra-annual and inter-annual variations in the area, depth, and duration of seasonal flooding have direct and indirect impacts on ecosystems and human lives and livelihoods. The researchers will develop an integrated computer model that simulates the dynamic couplings among social, ecological and hydrological systems of the Logone floodplain in Cameroon. The model will allow them to simulate the impacts of climate change scenarios and human modifications of the landscape on the social, ecological, and hydrological systems. Fishermen in the Logone floodplain have been modifying the floodplain's hydrology by constructing thousands of individually owned fish canals. The cumulative effect of these canals may equal the impact of large-scale dams. The devastating impact of large-scale dams on African floodplains has been well documented, but what is less clear is how smaller, slower changes like the fish canals may result in regime shifts that have equally disastrous consequences. If the floodplain is characterized by critical transitions, the gradual increase in fish canals may result in a sudden and catastrophic transition equivalent to the impact of large-scale dams. The integrated computer model will enable researchers to examine the nature of the regime shift. The project brings together a team of researchers from a broad range of disciplines and will use a transdisciplinary approach to investigate coupled human and natural systems using a combination of field research, remote sensing analysis, and modeling.The project will contribute to the sustainable management of African floodplains, which are of enormous ecological and economic importance, by developing an integrated computer model that will permit stakeholders to evaluate the impact of different human activities and climate change scenarios. The project will educate and train graduate and undergraduate students at the Ohio State University and at Maroua University in Cameroon in quantitative and qualitative, transdisciplinary approaches to the study and management of coupled human and natural systems. This project is supported by the NSF Dynamics of Coupled Natural and Human Systems (CNH) Program and the NSF Office of International Science and Engineering.

这个跨学科研究项目将重点关注人类活动和气候变化对非洲洪泛区的影响。非洲洪泛区是耦合人类自然系统的一个很好的例子，因为它们在多个社会，生态和水文系统之间表现出很强的相互作用。该地区，深度和季节性洪水持续时间的年度和年际变化对生态系统以及人类的生命和生计都有直接和间接的影响。研究人员将开发一个集成的计算机模型，该模型模拟喀麦隆logone洪泛区的社会，生态和水文系统之间的动态耦合。该模型将使他们能够模拟气候变化情景的影响以及景观对社会，生态和水文系统的人类修改。 Logone洪泛区中的渔民通过建造成千上万个单独拥有的鱼类运河来修改洪泛区的水文学。 这些运河的累积作用可能等于大型大坝的影响。 大型水坝对非洲洪泛区的破坏性影响已经有充分的文献记载，但是尚不清楚的是，像鱼类运河这样的变化速度较小，可能导致政权转移，而政权的变化也同样灾难性的后果。 如果洪泛区的特征是临界过渡，则鱼类管的逐渐增加可能会导致突然而灾难性的过渡，等于大型大坝的影响。集成的计算机模型将使研究人员能够检查政权转移的性质。 该项目汇集了来自各种学科的研究人员团队，并将使用跨学科的方法使用现场研究，遥感分析和建模的组合来调查人类和自然系统的耦合。该项目将有助于非洲洪水的可持续性管理，这些洪水范围可通过众多的计算机模型来构成巨大的生态和经济重要性，以允许人性化的变化范围，以允许人类的整体构建范围来构成众多范围。该项目将在俄亥俄州立大学教育和培训毕业生和本科生，并在喀麦隆的Maroua University进行定量和定性的跨学科方法，以研究和管理人类和自然系统的耦合。 该项目得到了耦合自然和人类系统（CNH）计划和国际科学与工程办公室的NSF动态。