Collaborative Research and NEON: PalEON - A PaleoEcological Observatory Network to Assess Terrestrial Ecosystem Models

合作研究和 NEON：PalEON - 评估陆地生态系统模型的古生态观测站网络

• 批准号: 1065702
• 负责人: Jason McLachlan
• 金额: $ 26.39万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-05-15 至 2014-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1065702&HistoricalAwards=false
• 关键词: Collaborative; Research; NEON; PalEON; PaleoEcological

Because of the slow pace of terrestrial ecosystem processes, including the slow generation time, growth rate, and decomposition rate of trees, the impact of changing climate and disturbance on forests plays out over hundreds of years. For this reason, centennial scale projections of terrestrial ecosystem models are used to anticipate the trajectory of forest response to environmental change. Modelers would like to have data on how forests have changed at regional scales and over hundreds of years to help assess such projections. A rich assemblage of relevant paleoecological data has been collected, but they have not been synthesized into a form that can be incorporated into broad-scale modeling efforts. Funding provided will support the establishment of a paleoecological observatory network (PALEON) to address this challenge. PALEON is an interdisciplinary team of paleoecologists, environmental statisticians, and ecosystem modelers with the goals of producing rigorous and robust reconstructions of forest change from the Atlantic to the Great Plains over the past 2,000 years, and then using these reconstructions to validate and improve the predictions of terrestrial ecosystem models. PALEON has identified the integrated analysis of paleoecological data with statistical and mechanistic modeling as a key challenge for improving research capacity for anticipating the future of environmental change. For this reason, PALEON incorporates interdisciplinary training and community building into all aspects of the PALEON mission. In addition to focused working groups, PALEON works with relevant disciplinary communities to develop common approaches to data collection, analysis, and experimental protocols to ensure that long-term data can be seamlessly integrated into macroscale ecosystem analyses. Interdisciplinary training of post-doctoral fellows and graduate students, including a summer short course, will ensure that the next generation of researchers thinks naturally at the spatial and temporal scales relevant to understanding the broad scale impact of changing climate and land-use disturbance.

由于陆地生态系统过程缓慢，包括树木的生成时间、生长速度和分解速度缓慢，气候变化和干扰对森林的影响需要数百年的时间。因此，陆地生态系统模型的百年尺度预测被用来预测森林对环境变化的响应轨迹。建模者希望获得有关森林在区域尺度和数百年来如何变化的数据，以帮助评估此类预测。已经收集了丰富的相关古生态数据，但它们尚未综合成可以纳入大规模建模工作的形式。提供的资金将支持建立古生态观测站网络（PALEON）来应对这一挑战。 PALEON 是一个由古生态学家、环境统计学家和生态系统建模师组成的跨学科团队，其目标是对过去 2000 年来从大西洋到大平原的森林变化进行严格而稳健的重建，然后利用这些重建来验证和改进预测陆地生态系统模型。 PALEON 已将古生态数据与统计和机械模型的综合分析确定为提高预测未来环境变化的研究能力的关键挑战。为此，PALEON 将跨学科培训和社区建设融入到 PALEON 使命的各个方面。除了重点工作组外，PALEON 还与相关学科界合作，开发数据收集、分析和实验协议的通用方法，以确保长期数据可以无缝集成到宏观生态系统分析中。博士后研究员和研究生的跨学科培训，包括暑期短期课程，将确保下一代研究人员在空间和时间尺度上自然地思考，以了解气候变化和土地利用干扰的广泛影响。