Collaborative Research: Leveraging the power of ecological modeling and functional ecology to understand spatio-temporal variation in community assembly through the late Quaternary

合作研究：利用生态模型和功能生态学的力量来了解第四纪晚期群落聚集的时空变化

• 批准号: 2149416
• 负责人: Jessica Blois
• 金额: $ 32.17万
• 依托单位: University of California - Merced
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2149416&HistoricalAwards=false
• 关键词: Collaborative; Research; Leveraging; power; ecological

Biodiversity—the variety of all forms of life—serves many functions to humans and its loss is one of the most pressing environmental issues of our time. Understanding the processes that shape species within ecological communities is crucial to chart the future of biodiversity and ecosystems in the face of human impacts. To date, studies of processes that are responsible for composition of ecological communities have been largely restricted to small (local) spatial scales and contemporary (months to decades) time scales. But these processes are complex and take place across many different scales, from local to continental spatial scales and monthly to 1000-year time scales. To understand which processes are important to structuring ecological communities at longer time scales, the project will use the fossil record of small mammals from the past 21,000 years. Results from and data generated by the project will be freely available for use by the broader scientific and educational communities. The project will provide workforce development opportunities and broaden participation in science by training middle- and high-schoolers and postdoctoral researchers from groups typically underrepresented in STEM.To elucidate spatial and temporal non-stationarity of processes structuring communities, the project will leverage the fossil record of small mammals across the late Quaternary, simulations and species distribution modeling (SDM) techniques, and trait datasets. The team will first conduct a comprehensive chronological re-assessment of the existing fossil record and carry out a suite of simulation exercises to understand the sensitivity of SDMs to spatial and temporal uncertainty inherent in the fossil record. The knowledge gained through these steps will then guide the construction of near continental, dynamic (i.e., changing through time) species distributions using the empirical fossil record. These modeled range-wide distributions for small mammals will then be stacked to obtain evaluations of community functional and trait composition, which will inform the spatio-temporal variation in community assembly processes. Ultimately, the findings will have implications for understanding the impacts of environmental and biotic change on biodiversity and ecosystem functioning.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.

生物多样性所有生命形式的多样性为人类提供了许多功能，它的丧失是我们这个时代最紧迫的环境问题之一。了解生态群落中形成物种的过程对于在人类影响面前描绘生物多样性和生态系统的未来至关重要。迄今为止，对生态群落组成过程的研究主要局限于小（局部）空间尺度和当代（数月至数十年）时间尺度。但这些过程是复杂的，发生在许多不同的尺度上，从地方到大陆的空间尺度，从每月到1000年的时间尺度。为了了解哪些过程对在更长的时间尺度上构建生态群落很重要，该项目将使用过去21，000年来小型哺乳动物的化石记录。该项目的成果和产生的数据将免费提供给更广泛的科学和教育界使用。该项目将提供劳动力发展机会，并通过培训中学和高中生和博士后研究人员从通常在STEM代表性不足的群体扩大参与科学。为了阐明空间和时间的非平稳性的过程结构社区，该项目将利用小型哺乳动物的化石记录在第四纪晚期，模拟和物种分布建模（SDM）技术，和性状数据集。该团队将首先对现有化石记录进行全面的年代重新评估，并进行一系列模拟练习，以了解空间数据模型对化石记录中固有的空间和时间不确定性的敏感性。通过这些步骤获得的知识将指导近大陆，动态（即，随着时间的推移而变化）的物种分布使用经验化石记录。然后将这些建模的小型哺乳动物的范围分布进行堆叠，以获得社区功能和特征组成的评估，这将告知社区组装过程中的时空变化。最终，这些发现将对理解环境和生物变化对生物多样性和生态系统功能的影响产生影响。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。