RCN: DRAGNet - Disturbance and Recovery Across Grasslands

RCN：DRAGNet - 草原的干扰与恢复

• 批准号: 2311608
• 负责人: Elizabeth Borer
• 金额: $ 69.96万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2028-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2311608&HistoricalAwards=false
• 关键词: RCN; DRAGNet; Disturbance; Recovery; Across

Physical disturbances (like plowing or animal wallowing) and increased supply of nutrients (like nitrogen and phosphorus) are changing Earth's terrestrial environments. However, predicting how plants and soils will respond remains uncertain. The project, DRAGNet (Disturbance and Recovery Across Grasslands Network), aims to address this by coalescing over 120 scientists from 93 grassland sites across Asia, Africa, Australia, Europe, North America, and South America. All scientists will conduct identical soil disturbance and nutrient addition experiments to understand how and where grassland communities respond to repeated disturbances and increased nutrients, how grasslands will recover from disturbance, and why similar places exhibit different responses to these changes. DRAGNet requires relatively low investment of time and money from individual researchers, enabling contributions from ecologists globally. Beyond scientific discoveries, the project aims to foster a diverse and inclusive research community, offering networking and collaboration opportunities, particularly for early-career researchers and scientists from developing countries. The findings from DRAGNet will be shared through publications, educational materials, and public talks. Coordination of this collaborative, global research network will provide deeper understanding of how ecosystems respond to disturbances and changes caused by human activities across the globe to better protect and preserve, both, wild and human-occupied environments.As a research coordination network, DRAGNet will allow comparisons of community responses in different grassland environments by coordinating identically replicated, factorial experiments manipulating soil disturbance and elemental nutrient supply at sites around the world. The data on plant and soil responses, collected following identical methods, will support tests of hypotheses about vegetation and biogeochemical resistance, the tendency to remain unchanged when disturbed, and recovery, the speed of return to a pre-disturbance state. By coordinating replicated experiments across site conditions, DRAGNet data will also uniquely clarify the context-dependence of post-disturbance responses on site history and conditions. In addition to testing hypotheses arising from ecological theory, project data will support development of a framework for understanding herbaceous system responses to these environmental changes by comparing recovery trajectories among diverse site conditions. The network will have four in-person and four virtual meetings to bring contributors together to analyze data, test hypotheses, and advance theoretical frameworks. In concert with scientific advances, the DRAGNet collaboration, especially the meetings, will serve to reduce isolation and increase inclusion, diversity, and scientific capacity, both, in the US and abroad. DRAGNet will advance research and facilitate collaboration and knowledge-sharing in the global scientific community.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

身体障碍（例如耕作或动物繁琐）以及养分的供应增加（如氮和磷）正在改变地球的陆地环境。但是，预测植物和土壤将如何反应仍然不确定。该项目，Dragnet（整个草原网络的干扰和恢复）旨在通过从亚洲，非洲，澳大利亚，澳大利亚，欧洲，北美和南美的93个草原地点结合的120多名科学家来解决这一问题。所有科学家都将进行相同的土壤干扰和养分添加实验，以了解草地社区如何以及何处应对重复的干扰和增加的营养，草原如何从干扰中恢复，以及为什么类似的地方对这些变化表现出不同的反应。 Dragnet要求单个研究人员的时间和金钱投资相对较低，从而在全球生态学家提供了贡献。除了科学发现之外，该项目还旨在培养一个多样化和包容性的研究社区，提供网络和协作机会，特别是针对发展中国家的早期研究人员和科学家。 Dragnet的发现将通过出版物，教育材料和公众演讲共享。该协作，全球研究网络的协调将提供对生态系统如何应对全球人类活动引起的干扰和变化的响应，以更好地保护和保存野生和人类占用的环境，作为研究协调网络，Dragnet将允许在与众不同的社区响应中进行相同的社区响应，以相同的社区响应来进行相同的社区响应，并围绕着相同的元素进行元素的元素，构成了元素的元素，构成了元素的元素，这些元素是详细的，元素的元素综合实验，世界。按照相同方法收集的植物和土壤反应的数据将支持关于植被和生物地球化学耐药性的假设的测试，在干扰时保持不变的趋势以及恢复，恢复速度的速度返回前扰动状态。通过协调跨站点条件的重复实验，Dragnet数据还将唯一阐明扰动后扰动响应对现场历史和条件的上下文依赖性。除了测试由生态理论引起的假设外，项目数据还将支持开发一个框架，以通过比较各种场地条件之间的恢复轨迹来理解草本系统对这些环境变化的反应。该网络将有四次面对面和四次虚拟会议，以将贡献者聚集在一起，以分析数据，测试假设和推进理论框架。在与科学进步的协作中，Dragnet合作，尤其是会议，将在美国和国外减少隔离，增加包容性，多样性和科学能力。 Dragnet将在全球科学界推进研究并促进合作和知识共享。该奖项反映了NSF的法定使命，并使用基金会的知识分子优点和更广泛的影响审查标准，被认为值得通过评估来获得支持。